Amazon Web Services (AWS) is present in 77 markets with 147 products. Amazon Web Services (AWS) has 10000 reviews with an overall average rating of 4.5.
4G and 5G Private Mobile Network Services
Gartner defines 4G and 5G private mobile network (PMN) services as private wireless network deployment, operation and management services for the exclusive use by a given organization, to provide dedicated connectivity for people and assets of an enterprise setting. 4G and 5G PMN services are delivered as an end-to-end service that covers design, architecting, deployment and management, based on the 3GPP standards, in a specific enterprise location, with dedicated or a mix of shared assets, such as spectrum or core network.
Amazon Web Services (AWS) has 1 product in 4G and 5G Private Mobile Network Services market
AI Application Development Platforms
Gartner defines AI application development platforms as those that offer the required technology and workflows to design, build, test and deploy AI-embedded applications. These platforms provide access to foundation models and the capability to ground and place guardrails around them. Software engineering teams utilize these platforms to build AI applications, such as assistants, agents and multimodal applications. Software engineering leaders face increasing pressure to incorporate AI into their products. AI application development platforms host the necessary tooling for enterprise developers to build AI assistants, agents and multimodal apps without extensive knowledge of machine learning. AI application development platforms focus on providing the features developers need to ground models with organizational knowledge. They also reduce risk by implementing responsible AI processes and guardrails within their AI-embedded applications. These platforms help scale the development of AI-embedded applications by offering governance, evaluation metrics and support throughout the application life cycle. Not every platform will offer access to first-party models or application-testing capabilities.
Amazon Web Services (AWS) has 3 products in AI Application Development Platforms market
- 1 more product
AI Code Assistants
Gartner defines AI code assistants as tools that generate and analyze software code and configuration. They use foundation models like LLMs, program-understanding technology, or both. Developers engage with these assistants to generate, analyze, debug, test, fix, refactor code, search dependencies, update libraries, create documentation, understand code, upgrade versions, translate languages and review commits. They help developers learn and explore codebases and access related information, such as frameworks and tools. AI code assistants integrate with developer environments, code editors, command-line terminals, chat interfaces, project management tools, monitoring, logging and deployment tools. Some are customized to an organization’s specific codebase and documentation. AI code assistants enhance software developers’ experience by boosting their efficiency, accelerating application development, minimizing cognitive overload, amplifying their problem-solving skills, enabling faster learning, fostering creativity and maintaining their state of flow.
Amazon Web Services (AWS) has 1 product in AI Code Assistants market
API Generation Software
API Generation Software automates the process of creating APIs (Application Programming Interfaces), enabling developers to quickly build backend services from databases, data models, or specifications like OpenAPI. It simplifies API development by generating endpoints, setting up authentication and authorization for security, and producing interactive, standardized documentation. Many tools also support data validation, versioning, and error handling to ensure reliability. By reducing manual coding and repetitive tasks, API generation software speeds up development, ensures consistency across services, and helps teams deliver secure, scalable, and well-documented APIs. It is widely used by backend developers, full-stack engineers, software architects, and product teams looking to accelerate API delivery and maintain high-quality development standards.
Amazon Web Services (AWS) has 1 product in API Generation Software market
API Management
Gartner defines the application programming interface (API) management market as the market for software to manage, govern and secure APIs. APIs modernize IT architectures. They provide context, tools and resources to generative and agentic AI programs and provide access to systems, services, partners and data services. API management tools enable organizations to plan, deploy, secure, operate, version control and retire APIs, regardless of their size, region or industry.
Amazon Web Services (AWS) has 1 product in API Management market
Access Management
Gartner defines access management (AM) as tools that include authentication, authorization, single sign-on (SSO) and adaptive access capabilities for modern standards-based web applications, classic web applications and APIs. AM’s purpose is to give people (employees, consumers and other users) and machines access to protected applications in a streamlined and consistent way that enhances the user experience. For people, SSO is part of the enhanced experience. AM is also responsible for providing security controls to protect the user session during runtime. It enforces authentication and runtime authorization using adaptive access. Lastly, AM can provide identity context for other cybersecurity tools and reliant applications to enable identity-first security.
Amazon Web Services (AWS) has 2 products in Access Management market
Agentic Analytics
Gartner defines agentic analytics as software used for the process of data analysis that applies AI agents across the data-to-insight workflow, orchestrating tasks semi-autonomously or autonomously toward stated goals that support, augment or automate insights. Agentic analytics’ must-have capabilities are data source connectivity, data preparation, agent workflow orchestration, automated insights and natural language query. Optional capabilities include data storytelling, a coding assistant, function calling, agent memory, embedded analytics and platform administration. Agentic analytics is the evolution of augmented analytics through the application of AI agents to data analysis.
Amazon Web Services (AWS) has 1 product in Agentic Analytics market
Analytics and Business Intelligence Platforms
Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules. Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.
Amazon Web Services (AWS) has 1 product in Analytics and Business Intelligence Platforms market
Application Delivery Controllers
The application delivery controller is a key component within enterprise and cloud data centers to improve availability, security and performance of applications. Application delivery controllers (ADCs) provide functions that optimize delivery of enterprise applications across the network. ADCs provide functionality for both user-to-application and application-to-application traffic, and effectively bridge the gap between the application and underlying protocols and traditional packet-based networks. This market evolved from the load-balancing systems that were developed in the latter half of the 1990s to ensure the availability and scalability of websites. Enterprises use ADCs today to improve the availability, scalability, end-user performance, data center resource utilization, security of their applications.
Amazon Web Services (AWS) has 2 products in Application Delivery Controllers market
Application Development
Application Development refers to products and services that support the design, creation, deployment, and maintenance of software applications across web, mobile, desktop, and cloud environments. This category includes markets that support organizations to build scalable, secure, and user-centric applications while evolving through agile methodologies, automation, modern development practices, and continuous integration and delivery.
Amazon Web Services (AWS) has 2 products in Application Development market
Application Platforms (Transitioning to Cloud-Native Application Protection Platforms)
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
Amazon Web Services (AWS) has 1 product in Application Platforms (Transitioning to Cloud-Native Application Protection Platforms) market
Artificial Intelligence
Artificial Intelligence (AI) refers to products and services that enable machines to perform tasks typically requiring human intelligence—such as learning, reasoning, problem-solving, perception, and language understanding. This category includes markets that focus on helping organizations build, deploy, and scale intelligent systems, utilizing AI across multiple industries through technologies like machine learning, natural language processing, computer vision, and generative AI.
Amazon Web Services (AWS) has 8 products in Artificial Intelligence market
- 6 more products
Backup and Data Protection Platforms
Gartner defines backup and data protection platforms as technologies that capture point-in-time copies of enterprise data for the purpose of recovering it from multiple data loss scenarios, enhancing data protection initiatives, and expanding data insights and access capabilities. These technologies protect enterprise data, applications and infrastructure in hybrid, multicloud and SaaS environments. Backup and data protection platforms are available as software-only, integrated appliances and vendor-developed and hosted backup as a service (BaaS).
Amazon Web Services (AWS) has 1 product in Backup and Data Protection Platforms market
Blockchain as a Service
Blockchain as a Service is a cloud-based service that enables users to build, host, and use their own blockchain apps, functions, and smart contracts without the need to maintain and setup the underlying infrastructure themselves. It's similar to how software as a service (SaaS) works, offering blockchain technology on a subscription basis, making it easier and more accessible for businesses, financial institutions and developers to leverage blockchain technology for various features like scaling up the blockchain solutions, secure transactions, and decentralization, without the complexity and cost of developing and managing a blockchain infrastructure on their own.
Amazon Web Services (AWS) has 1 product in Blockchain as a Service market
Certificate Lifecycle Management (CLM)
Certificate Lifecycle Management (CLM) is the process of managing digital certificates from their creation to their expiration or revocation. Digital certificates are electronic credentials that verify the identity of individuals, devices, or organizations and enable secure, encrypted communication over networks. They are a fundamental part of Public Key Infrastructure (PKI), ensuring trust and data integrity in digital interactions. CLM involves key stages such as requesting, issuing, installing, monitoring, renewing, and revoking certificates. This process helps prevent service disruptions, security breaches, and compliance failures. CLM is used by a wide range of users including IT administrators, security teams, DevOps engineers, and compliance officers who rely on it to maintain secure and reliable digital environments.
Amazon Web Services (AWS) has 1 product in Certificate Lifecycle Management (CLM) market
Chaos Engineering Tools
Gartner defines the chaos engineering tools market as technologies that enable the use of experimental and potentially destructive failure testing or fault injection testing to uncover vulnerabilities and weaknesses within a complex system. These tools enable infrastructure and operations (I&O) and software engineering teams, as well as security engineers and site reliability engineers (SREs), to systematically plan, document, execute and analyze attacks on components and systems, both before and after implementation.
Amazon Web Services (AWS) has 1 product in Chaos Engineering Tools market
Cloud AI Developer Services
Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services and products that enable software developers who are not data science experts to use artificial intelligence (AI) models via APIs, software development kits (SDKs) or applications. Core capabilities include automated machine learning (autoML) including automated data preparation, automated feature engineering and automated model building, and model management and operationalization for language, vision and tabular use cases. Optional and important complementary capabilities include AI code models and assistants. Cloud AI developer services help organizations embed intelligence, such as AI and ML insights, into their applications. While that is what cloud AI developer services offer, it is more important to note how they accomplish this. These services democratize and increase the availability of AI and ML to software engineers through the automation and features offered. Traditional activities regarding data acquisition, data quality, feature engineering, algorithm selection and model training are augmented by the technology. Cloud AI developer services open up a world of possibilities for software engineers to build AI and ML production capabilities and features for enterprise-built applications.
Amazon Web Services (AWS) has 5 products in Cloud AI Developer Services market
- 3 more products
Cloud Application Platforms (Transitioning to Cloud-Native Application Platforms)
Gartner defines cloud application platforms as those that provide managed application runtime environments for applications and integrated capabilities to manage the life cycle of an application or application component. They typically enable distributed application deployments and support cloud-style operations — such as elasticity, multitenancy and self-service — without requiring infrastructure provisioning or container management. Cloud application platforms are designed to facilitate the deployment, runtime execution, and management of modern cloud-native or cloud-optimized applications (e.g., web-based apps, back-end services with/without APIs, etc.) without the need to manage any underlying compute infrastructure. Also, they are designed to enhance developer productivity, accelerate development and deployment cycles, and increase operational effectiveness by making it easier to scale on demand.
Amazon Web Services (AWS) has 4 products in Cloud Application Platforms (Transitioning to Cloud-Native Application Platforms) market
- 2 more products
Cloud Computing
Cloud Computing refers to products and services that enable the delivery, management, and optimization of computing resources over the internet. This category includes markets that focus on empowering organizations to seamlessly store, migrate, manage, and optimize workloads across diverse cloud environments, including public, private, hybrid, and multi-cloud models.
Amazon Web Services (AWS) has 5 products in Cloud Computing market
- 3 more products
Cloud Database Management Systems
Gartner defines the market for cloud database management systems (DBMSs) as software products that store and manipulate data and are primarily delivered as platform as a service (PaaS) in the cloud. Cloud DBMSs may optionally be capable of running on-premises or in hybrid, multicloud or intercloud configurations. They can be used for transactional and/or analytical work. They typically persist data using a combination of proprietary and open components in a durable manner, enabling a full range of create, read, update and delete operations. They are used by application end users, designers, developers and operators of large database systems.
Amazon Web Services (AWS) has 7 products in Cloud Database Management Systems market
- 5 more products
Cloud Development Environments
Cloud development environments (CDEs) provide remote, ready-to-use access to a cloud-hosted development environment with minimal effort for setup and configuration. This decoupling of the development workspace from the physical workstation enables a low-friction, consistent developer experience. CDEs offer built-in integrated development environment (IDE) capabilities such as code editing, debugging, code review and code collaboration, but also integrate with artificial intelligence (AI) code assistants and DevOps tools such as source code and artifact repositories. CDE users include but are not limited to software engineers, data scientists and AI engineers. CDEs provide consistent, secure developer access to preconfigured remote development workspaces. This frees developers from setting up their own local environments, eliminating the need to install and maintain dependencies, software development kits, security patches and plug-ins, which increasingly include AI code assistants. CDEs are prepackaged with tools to support multiple programming languages and frameworks enabling teams to write code across multiple technology stacks with standardized and templatized workflows. Developers can either access a remotely hosted IDE using a browser-based interface or use their locally installed IDE to connect to the CDE.
Amazon Web Services (AWS) has 1 product in Cloud Development Environments market
Cloud Infrastructure Management Systems for Communications Service Providers
Gartner defines cloud infrastructure management (CIM) systems for communications services providers (CSPs) as a set of operations and management support applications and tools to enable CSPs to orchestrate and manage the use of cloud-based network resources. These cloudified compute, storage and networking infrastructure resources may be located in far-edge, near-edge or regional/national CSP premises, or in partner data center locations — such as those of public cloud providers, other CSPs or technology vendors. These network infrastructure resources are used to host virtualized and/or containerized network functions and applications, and related support systems. The CIM systems for CSPs deliver efficient, intent-based, API-diven, zero-touch planning, provisioning, and operations of hardware and software resources, enabling the hyper automation of the network cloud infrastructure.
Amazon Web Services (AWS) has 3 products in Cloud Infrastructure Management Systems for Communications Service Providers market
- 1 more product
Cloud Web Application and API Protection
Gartner defines cloud web application and API protection (WAAP) as a category of security solutions designed to protect web applications and APIs from different types of attacks, irrespective of the hosting location. Typically delivered as a service, cloud WAAP is a consolidation of multiple capabilities offered as a series of security modules and designed to protect against a broad range of runtime attacks. Core capabilities are web application firewalls (WAFs), distributed denial of service (DDoS) mitigation, protection against advanced API attacks and automated (bot) traffic management. A cloud WAAP solution must incorporate all four core capabilities within the same offering.
Amazon Web Services (AWS) has 1 product in Cloud Web Application and API Protection market
Code Review Tools
Code review tools are software applications that help developers review and improve code quality by examining code changes, identifying issues, and ensuring adherence to standards. These tools enhance collaboration and knowledge sharing among team members, making the codebase more maintainable and reliable. Key features include enhancing code quality by automatically checking for coding standards, bugs, and security vulnerabilities. These tools allow reviewers to provide clear, actionable feedback through inline comments and streamline the integration of code changes via pull requests or merge requests. Typical users include developers, team leads, and quality assurance engineers who collaborate to maintain high code quality and streamline the development process.
Amazon Web Services (AWS) has 1 product in Code Review Tools market
Communications Platform as a Service
Gartner defines communications platform as a service (CPaaS) as a cloud-based platform used by developers, the IT team and other nontechnical business roles to build an array of communications-related capabilities using APIs, SDKs, documentation and no-code/low-code visual builders. The CPaaS tools facilitate access to multiple communications channels spanning voice, SMS, email, messaging apps, video and conversational capabilities, along with security. The purpose of CPaaS is to enable enterprises to improve communications workflows by providing simplified access to multiple communications capabilities. CPaaS enables enterprises to shorten time to market for new products and services, personalize communications, and orchestrate customer journeys across multiple channels. It delivers digital engagement and operationalizes customer experience, while also driving business efficiencies at scale with digital service delivery. It is modular/composable in design and can expand from initial single use cases to many others as additional business units learn of its value.
Amazon Web Services (AWS) has 1 product in Communications Platform as a Service market
Contact Center as a Service
Gartner defines contact center as a service (CCaaS) as solutions offering SaaS-based applications that enable customer service departments to manage multichannel customer interactions holistically from both a customer-experience and employee-experience perspective. CCaaS is a key technology platform used to support the customer service experience, whether it be self-service or assisted by customer service representatives. All organizations need to offer customer assistance. The preference is for remote support via voice and digital channels over physical presence in offices and stores, though it is common for organizations to offer multiple options. The ambition is for customers to self-serve assistance, through web portals or chatbots. But it is also recognized that complex issues still need the support of employees. CCaaS technology is instrumental in orchestrating both self- and assisted-service engagement with customers. The technology can also manage the quality of engagement between the customer and the customer service representative, recognizing that premium customer experiences are achieved through premium employee experiences.
Amazon Web Services (AWS) has 1 product in Contact Center as a Service market
Container Management
Gartner defines container management as offerings that support the deployment and operation of containerized workloads. It uses a combination of technologies (many open source) that enable agile application deployments and infrastructure modernization. Delivery methods include stand-alone software or as a service. Container management automates the provisioning, operation and life cycle management of containerized workloads at scale. Centralized governance and security policies are used to manage container workloads and associated resources. Container management supports the requirements of modern applications (also refactoring legacy applications), including platform engineering, cloud management and continuous integration/continuous delivery (CI/CD) pipelines. Benefits include improved agility, elasticity and access to innovation.
Amazon Web Services (AWS) has 7 products in Container Management market
- 5 more products
Conversational AI Platforms
Gartner defines conversational AI platforms (CAIPs) as SaaS products that primarily enable the development of applications simulating human conversation across multiple channels and media. CAIPs leverage composite AI, including generative AI (GenAI) and natural language technologies. Conversations can use a mix of modalities such as text, voice and visual content. To support the building of conversational applications, platforms provide extensive coding options, from pro-code to no-code. Application areas include chatbots, virtual assistants (VAs) and conversational AI (CAI) agents. CAIPs are used to create, deploy and manage AI-driven conversational interfaces. These platforms enable businesses to develop VAs and conversational AI Agents that facilitate both customer-facing and internal interactions through pro-code/low-code/no-code tools. CAIPs empower businesses to centralize and democratize the development and management of multiple, diverse CAI initiatives, leading to more cohesive and efficient operations. The blend of capabilities provided by CAIPs is distinctive compared to those offered by other CAI solutions, such as targeted extensions for CAI found in other enterprise applications (e.g., CRM systems, contact center platforms) or stand-alone GenAI-native apps. In comparison, CAIPs are a better fit for strategic and scalable enterprise-grade CAI adoption.
Amazon Web Services (AWS) has 1 product in Conversational AI Platforms market
DDoS Mitigation Solutions
The market for distributed denial of service (DDoS) mitigation includes vendors that detect and mitigate DDoS attacks and offer it as a dedicated offering. It includes specialty vendors, whose primary focus is DDoS mitigation, as well as providers that offer DDoS mitigation as a feature of other services. These include dedicated appliance-based vendors, communication service providers (CSPs), content delivery network (CDN) vendors, hosting providers and cloud infrastructure and platform services (CIPS) vendors.
Amazon Web Services (AWS) has 2 products in DDoS Mitigation Solutions market
Data Clean Rooms
Data clean rooms are secure environments where multiple parties can analyze and share data without exposing raw data to each other. They enable collaborative analysis while ensuring privacy, compliance with data protection regulations, and strict access controls. These rooms use privacy-enhancing technologies to anonymize or aggregate data, allowing companies to gain insights from combined datasets without compromising individual privacy or proprietary information. The typical users include advertisers, publishers, data providers, and tech companies seeking to perform joint data analysis for marketing, research, and business intelligence.
Amazon Web Services (AWS) has 1 product in Data Clean Rooms market
Data Integration Tools
The market for data integration tools consists of stand-alone software products that enable organizations to combine data from multiple sources and perform tasks related to data access, transformation, enrichment and delivery. They enable use cases such as data engineering, delivering modern data architectures, self-service data integration, operational data integration and supporting AI projects. Data management leaders procure data integration tools for their teams, including data engineers and data architects, or for other users, such as business analysts or data scientists. These products are primarily consumed as SaaS or deployed on-premises, in public or private cloud, or in hybrid configurations.
Amazon Web Services (AWS) has 2 products in Data Integration Tools market
Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.
Amazon Web Services (AWS) has 1 product in Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning) market
Data Virtualization
Data virtualization technology is based on the execution of distributed data management processing, primarily for queries, against multiple heterogeneous data sources, and federation of query results into virtual views. This is followed by the consumption of these virtual views by applications, query/reporting tools, message-oriented middleware or other data management infrastructure components. Data virtualization can be used to create virtualized and integrated views of data in-memory, rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify querying logic.
Amazon Web Services (AWS) has 1 product in Data Virtualization market
Data and Analytics
Data and Analytics refers to products and services that enable organizations to collect, integrate, analyze, and act on data to drive informed decision-making and business outcomes. This category includes markets that focus on empowering enterprises to manage data pipelines, ensure data quality and governance, extract insights through advanced analytics, and machine learning across structured and unstructured data environments.
Amazon Web Services (AWS) has 2 products in Data and Analytics market
Desktop as a Service
Gartner defines desktop as a service (DaaS) as the provision of virtual desktops by public cloud or other service providers. DaaS provides desktop or application end-user experiences from virtual machines (VMs) accessed using a remote display protocol. DaaS vendors incorporate a fully managed control plane service into their offerings, which facilitates user connections and provides a management interface. DaaS can be delivered preconfigured as a service. Alternatively, it can be delivered as a platform, in which case the client is responsible for assembly, configuration and management. DaaS is charged through subscription- or usage-based payment structures.
Amazon Web Services (AWS) has 4 products in Desktop as a Service market
- 2 more products
DevOps Platforms (Transitioning to DevSecOps Platforms)
Gartner defines DevOps platforms as those that provide fully integrated and orchestrated capabilities to enable continuous delivery of software using agile and DevOps practices. The capabilities span the development and delivery life cycle built around the continuous integration/continuous delivery (CI/CD) pipeline, including planning, creation, artifact management, security, quality engineering, change management, compliance, environment management, deployment and monitoring. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics. They are delivered primarily as cloud-hosted services with some options for on-premises deployment. DevOps platforms simplify the creation, maintenance and management of the components required for the delivery of various types of modern software. Platforms create common workflows and data models, simplify user access, provide production-like development and test environments, and provide a consistent user experience (UX) to reduce cognitive load. They lead to improved visibility, auditability and traceability for the software delivery value stream. This end-to-end view encourages a systems-thinking mindset and accelerates feedback loops. Organizations use DevOps platforms to minimize tool friction resulting from complex toolchains, manual handoffs and lack of consistent visibility throughout the software development life cycle (SDLC). This enables product teams to deliver faster customer value without compromising quality. The DevOps platforms market reflects the consolidation of technologies across development, security, infrastructure and operations to streamline software delivery.
Amazon Web Services (AWS) has 6 products in DevOps Platforms (Transitioning to DevSecOps Platforms) market
- 4 more products
Digital Health Platforms
DHP technologies, which are an example of an industry cloud-platform-specific technology for healthcare, enable a new architectural approach to deploy digital capabilities using modern cloud services rapidly. The DHP approach enables a CIO to adjust the application portfolio at the pace of business change. It puts the organization on a path to faster value realization when responding to strategic imperatives and external uncertainties.
Amazon Web Services (AWS) has 1 product in Digital Health Platforms market
Distributed Hybrid Infrastructure
Distributed hybrid infrastructure (DHI) are solutions incorporating cloud-native infrastructure principles (e.g., programmability, elasticity, modularity and resiliency). DHI can be deployed and managed, delivering cloud services wherever the customer chooses, including on-premises, at the colocation, at the edge or in the public cloud. This flexibility sets DHI apart from traditional public cloud infrastructure as a service (IaaS), which typically relies on a centralized approach. Vendors fall into three categories, with distinct strategies: cloud platform providers, full stack hyperconverged vendors and software infrastructure platform providers. Their offerings include software and/or integrated hardware with a unified management and control plane. DHI serves as the foundation for deploying applications in a distributed manner, while maintaining a cloud-native or cloud-inspired approach. This approach enhances agility and flexibility for workloads that require deployment beyond the public cloud infrastructure and addresses potential limitations of traditional on-premises setups. DHI offers greater consistency, flexibility, mobility, isolation and availability across customer environments. Enterprises can benefit from the principles of cloud computing, while retaining the ability to deploy resources whenever and wherever they are needed, and provide options to address workload specific characteristics, such as latency, performance and data sovereignty. Infrastructure and operations (I&O) leaders targeting this market typically have strong hybrid needs and do not necessarily adhere to a cloud-only or cloud-first strategy, often maintaining substantial on-premises deployments. This strategic approach enables enterprises to harness the advantages of both environments, offering the flexibility needed to standardize and optimize operations, uphold performance and availability service-level agreements (SLAs), and support a variety of workloads.
Amazon Web Services (AWS) has 3 products in Distributed Hybrid Infrastructure market
- 1 more product
Document Management
Gartner defines document management as the tools and practices used to capture, store, process, and access documents and content in support of personal, team and enterprise needs. It is used for a wide range of collaborative and operational purposes, enabling the digital workplace, content collaboration, content-centric processes, content services for enterprise applications and content governance. Gartner estimates that 70% to 80% of enterprise information is unstructured, posing a significant challenge for organizations that must unlock the potential and mitigate the risks of content. Document management tools are critical to enterprise application strategies that need to support unstructured information or content.
Amazon Web Services (AWS) has 1 product in Document Management market
Edge AI Solutions
Edge AI refers to the use of AI techniques embedded in IoT endpoints, gateways and edge servers, that can process and store data close to where it’s generated. While predominantly focused on AI inference, more sophisticated systems may include a local training capability to provide in-situ optimization of the AI models. This is done by constantly monitoring AI models and autoscaling them to match demands. Edge AI systems can reduce latency and data transport consumption, improve local processing capabilities thus find usage in applications ranging from autonomous vehicles to streaming analytics.
Amazon Web Services (AWS) has 1 product in Edge AI Solutions market
Edge Distribution Platforms
Edge distribution platforms are highly distributed, edge-based, integrated networks and cloud delivery infrastructures that provide the following as-a-service functionality: edge compute and storage, web application and perimeter security, content and API acceleration, data and analytics, and AI application infrastructure.
Amazon Web Services (AWS) has 1 product in Edge Distribution Platforms market
Enterprise Networking and Communications
Enterprise Networking and Communications refers to the products and services that enable secure, scalable, and high-performance connectivity and communication across distributed enterprise environments. This category includes markets that focus on core and edge networking, unified communications, private and public mobile networks, and managed network services—supporting digital transformation, and operational efficiency.
Amazon Web Services (AWS) has 2 products in Enterprise Networking and Communications market
Event Brokers
Gartner defines an event broker as a technology that enables the publish-subscribe communication pattern between event producers and event consumers. An event broker can be delivered as hardware, as software or as a service. Event producers (also known as publishers or sources) publish events to a topic. Event consumers (also known as subscribers or sinks) subscribe to topics to see all related events. This means that event producers are typically unaware of, and decoupled from, event consumers. The role of the event broker is to mediate communications between event producers and event consumers
Amazon Web Services (AWS) has 3 products in Event Brokers market
- 1 more product
Event Stream Processing
The market for ESP platforms consists of software subsystems that perform real-time computation on streaming event data. They execute calculations on unbounded input data continuously as it arrives, enabling immediate responses to current situations and/or storing results in files, object stores or other databases for later use. Examples of input data include clickstreams; copies of business transactions or database updates; social media posts; market data feeds; images; and sensor data from physical assets, such as mobile devices, machines and vehicles.
Amazon Web Services (AWS) has 2 products in Event Stream Processing market
Generative AI Engineering
Generative AI (GenAI) engineering refers to the field of engineering that focuses on the development, implementation and optimization of generative AI models. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. By developing GenAI models, engineers can create new and innovative ways to generate content. The vendors in this segment are made up by incumbent and startup vendors covering full-model life cycle management, specifically adjusted to and catering to development, refinement and deployment of generative models (e.g., LLMs) and other GenAI artifacts in production applications. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Amazon Web Services (AWS) has 1 product in Generative AI Engineering market
Generative AI Infrastructure Providers (Transitioning to Generative AI Specialized Infrastructure)
Generative AI (GenAI) Infrastructure providers are infrastructure vendors (such as cloud platforms and hardware manufacturers) that offer underlying technology, tools and hardware that other companies and developers use to build and deploy specific generative AI applications in production. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. These providers offer scalable, reliable and cost-effective solutions for generative AI projects, which can be complex and expensive to train and deploy. Generative AI infrastructure providers focus on research and developing the foundational AI techniques, while application developers focus on building products using those foundational technologies. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Amazon Web Services (AWS) has 1 product in Generative AI Infrastructure Providers (Transitioning to Generative AI Specialized Infrastructure) market
Generative AI Knowledge Management Apps/General Productivity
Gartner defines the generative AI (GenAI) knowledge management apps/general productivity submarket as technologies that enable companies to better retrieve and contextualize information and insight from their knowledge bases, including enterprise AI search, conversational AI platforms, and productivity tools for communications and content development.
Amazon Web Services (AWS) has 2 products in Generative AI Knowledge Management Apps/General Productivity market
Generative AI Model Providers
Generative AI (GenAI) model providers focus on developing and providing generative AI technologies and make them available to other developers, businesses and general public through APIs or commercial licenses. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. This layer of vendors offers access to commercial or open-source foundation models such as LLMs and other types of generative algorithms (such as GANs, genetic/evolutionary algorithms or simulations). These models can be provided for developers to embed into their applications or be used as base models for fine-tuning customized models for their software offerings or internal enterprise use cases. This helps businesses gain the benefits of advanced generative AI technologies while avoiding the high costs, expertise requirements and time needed to develop these technologies in-house. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Amazon Web Services (AWS) has 1 product in Generative AI Model Providers market
Global Industrial IoT Platforms
The global industrial IoT platform delivers multiple integrations to industrial OT assets and other asset-intensive enterprises’ industrial data sources to aggregate, curate and deliver contextualized insights that enable intelligent applications and dashboards through an edge-to-cloud architecture. The global industrial Internet of Things (IIoT) platform market exists because of the core capabilities of integrated middleware software that support a multivendor marketplace of intelligent applications to facilitate and automate asset management decision making. IIoT platforms also provide operational visibility and control for plants, infrastructure and equipment. Common use cases are augmentation of industrial automation, remote operations, sustainability and energy management, global scalability, IT/operational technology (OT) convergence, and product servitization of industrial products.
Amazon Web Services (AWS) has 1 product in Global Industrial IoT Platforms market
Hadoop Distributions
Hadoop distributions are used to provide scalable, distributed computing against on-premises and cloud-based file store data. Distributions are composed of commercially packaged and supported editions of open-source Apache Hadoop-related projects. Distributions provide access to applications, query/reporting tools, machine learning and data management infrastructure components. First introduced as collections of components for any use case, distributions are now often delivered as part of a specific solution for data lakes, machine learning or other uses. They subsequently grow into additional, expanded roles, competing with both older technologies like database management systems (DBMSs) and newer ones like Apache Spark.
Amazon Web Services (AWS) has 2 products in Hadoop Distributions market
Hybrid Cloud Storage
The hybrid cloud storage market comprises diverse deployment patterns with underlying technologies that address a wide range of data types. Products in this market must facilitate seamless data services across different environments, including disparate data centers, colocations, edge locations and public cloud infrastructure. Hybrid cloud data solutions are offered through various means such as distributed hybrid infrastructure (DHI), hybrid cloud storage platforms, data transfer appliances, hyperconverged solutions, storage arrays, software-defined storage (SDS) products and comprehensive data management software.
Amazon Web Services (AWS) has 4 products in Hybrid Cloud Storage market
- 2 more products
IT Infrastructure and IoT
IT Infrastructure and IoT refers to the products and services that support the deployment, management, and optimization of core technology systems and connected devices across enterprise environments. This category includes markets that focus on enabling organizations to build and operate resilient, scalable, and intelligent infrastructure. It encompasses solutions for data center management, network infrastructure, and IoT connectivity—spanning on-premises, cloud, edge, and hybrid models.
Amazon Web Services (AWS) has 2 products in IT Infrastructure and IoT market
IT Security
IT Security refers to products and services that protect digital systems and data from cyber threats and unauthorized access. This category includes markets that focus on network security, identity management, data protection, and cloud security, enabling organizations to reduce risk, ensure compliance, and operate securely in a digital world.
Amazon Web Services (AWS) has 2 products in IT Security market
Infrastructure Monitoring Tools
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Amazon Web Services (AWS) has 1 product in Infrastructure Monitoring Tools market
Insight Engines (Transitioning to Enterprise AI Search)
Gartner defines Insight Engines as follows: Insight engines apply relevancy methods to discover, analyze, describe and organize content and data. They enable the interactive or proactive delivery or synthesis of information to people, and data to machines, in the context of their respective business moments. Insight engines should be viewed as platforms on which applications are provided, developed or augmented by applying the capabilities listed above to specific employee and customer experience use cases. Such applications are provided out of the box by vendors (e.g., intranet or site search), developed through technical partnerships (e.g., search within third-party applications), developed with customers in-house (e.g., expert finder), or developed through integration with third-party applications (e.g., extracting data from documents to support RPA).
Amazon Web Services (AWS) has 1 product in Insight Engines (Transitioning to Enterprise AI Search) market
Integrated Development Environment (IDE) Software
Integrated Development Environment (IDE) software provides a unified interface to write, test, and debug code efficiently. It typically includes a source code editor, compiler or interpreter, debugger, and build tools, all within a graphical user interface (GUI) that simplifies navigation and development workflows. Most IDEs also support features like intelligent code completion, syntax highlighting, version control integration, and project management tools. By offering everything in one place, IDEs reduce setup time, minimize context switching, and help developers detect and fix errors quickly. This results in faster, more organized, and more accurate software development. IDEs are widely used by programmers, software developers, data analysts, and engineers working across various programming languages and platforms, from web and mobile apps to enterprise systems.
Amazon Web Services (AWS) has 1 product in Integrated Development Environment (IDE) Software market
Integration Platform as a Service
Gartner defines integration platform as a service (iPaaS) as a vendor-managed cloud service that enables end users to implement integrations between applications, services and data sources, both internal and external to their organization. iPaaS enables end users of the platform to integrate a variety of internal and external applications, services and data sources for at least one of the three main patterns of integration technology use: data consistency, multistep process and composite services. These integration use cases are most commonly implemented via intuitive low-code or no-code developer environments, though some vendors provide more complex developer tooling.
Amazon Web Services (AWS) has 3 products in Integration Platform as a Service market
- 1 more product
Intelligent Document Processing Solutions
Gartner defines intelligent document processing (IDP) solutions as specialized data integration tools that enable automated extraction of data from multiple formats and various layouts of document content. IDP solutions ingest data for dependent applications and workflows and can be provided as a software product and/or as a service. Organizations receive and process documents in multiple formats to enable activities such as onboarding new suppliers, receiving applications for loans or insurance claims. This results in large volumes of documents, the content of which is designed for human comprehension rather than machine processing. Extracting data from content is essential for document processing and the automated activities this supports. IDP solutions fulfill this role, augmented by and potentially replacing people. Documents are received in physical form, typically paper, which must be scanned for digitization, or in digital form, such as emails and PDFs. The content of these documents has varying layouts, ranging from structured formats, such as tabular or outline (e.g., list or hierarchy of headings) or invoices or contracts, to unstructured formats (i.e., free-flowing, such as an email). Layouts that fall between structured and unstructured, or mixing the two, are often referred to as semistructured.
Amazon Web Services (AWS) has 2 products in Intelligent Document Processing Solutions market
IoT Integration (Transitioning to Global Industrial IoT Platforms)
Integration means making independently designed applications and data work well together. IoT integration means making the mix of new IoT devices, IoT data, IoT platforms and IoT applications — combined with IT assets (business applications, legacy data, mobile, and SaaS) — work well together in the context of implementing end-to-end IoT business solutions. The IoT integration market is defined as the set of IoT integration capabilities that IoT project implementers need to successfully integrate end-to-end IoT business solutions.
Amazon Web Services (AWS) has 2 products in IoT Integration (Transitioning to Global Industrial IoT Platforms) market
Knowledge Management (KM) Software
Knowledge Management (KM) Software helps organizations centralize, organize, and share information efficiently across teams. It provides a centralized repository for storing diverse content types—such as documents, presentations, and multimedia—making knowledge easily accessible and searchable. A robust search functionality ensures quick retrieval of relevant information, while features like file version history, access control, and content editing enhance collaboration and governance. These capabilities reduce duplication of effort, preserve institutional knowledge, and streamline workflows. KM software is widely used by customer support, product and operations, HR and training, and IT and compliance teams—any function that depends on consistent, accurate, and easily retrievable information.
Amazon Web Services (AWS) has 1 product in Knowledge Management (KM) Software market
Log Monitoring and Analysis Solutions
Gartner defines log monitoring and analysis solutions as products that ingest structured and unstructured log telemetry from a variety of sources. They are used to observe and understand the behavior of applications, services and infrastructure. Log monitoring and analysis solutions enable analysis of log telemetry, either via human operator or machine intelligence, to identify or explain changes in system behavior, outages, or performance degradation. Log monitoring and analysis solutions are used by IT operations, security operations, site reliability engineers, cloud and platform teams, application developers, and product owners.
Amazon Web Services (AWS) has 1 product in Log Monitoring and Analysis Solutions market
Machine Learning Infrastructure as a Service
Machine learning Infrastructure as a Service (ML IaaS) is an infrastructure delivery model that provisions virtualized or bare-metal infrastructure resources that are performance optimized for compute-intensive ML and DNN workloads . The ML IaaS market is characterized by core capabilities, including hardware-accelerated, high-performance compute platforms, usually augmented by accelerator technologies like GPU, FPGA or custom processors like Google TPU. Due to the unique nature of hardware-involved DNN frameworks (such as TensorFlow, pyTorch, Caffe and MxNet), they need to be reconfigured and integrated with appropriate libraries to take full advantage of ML IaaS capabilities.
Amazon Web Services (AWS) has 1 product in Machine Learning Infrastructure as a Service market
Managed Hybrid Cloud Hosting, Asia/Pacific (Transitioning to Public Cloud Managed Services, Public Cloud Transformation Services)
Gartner defines managed hybrid cloud hosting (MHCH) as a standardized, productized offering that combines a cloud-enabled system infrastructure platform — consisting of a pool of compute, network and storage hardware — with cloud infrastructure framework software to facilitate self-service and rapid provisioning. In addition to offering this service from cloud infrastructure located in its own data center, the provider must offer a choice of using a hyperscale public infrastructure as a service (IaaS) provider or an Asian country-specific, large-scale IaaS provider. The infrastructure platform should be located both in a service provider's data center for the cloud-enabled system infrastructure (CESI) platform and in an Asia country for the public IaaS platform. It also requires the use of a standardized deployment across all service provider customers and leverages a single codebase.
Amazon Web Services (AWS) has 1 product in Managed Hybrid Cloud Hosting, Asia/Pacific (Transitioning to Public Cloud Managed Services, Public Cloud Transformation Services) market
Meeting Solutions
Meeting solutions are real-time communication services with their associated devices that support live interactions between participants for internal and external collaboration, presentations, learning, training sessions and webinars. Meeting solutions power diverse use cases, such as one-on-one meetings, remote sales engagements, board meetings, telehealth sessions, remote banking and consulting services, to name just a few. Meeting solutions enable rich information sharing and interaction by combining audio and video, in-meeting chat, content and screen sharing, and visual collaboration and whiteboarding.
Amazon Web Services (AWS) has 1 product in Meeting Solutions market
Mobile Back-End Services
Mobile back-end services deliver capabilities to mobile apps via APIs and/or software development kits (SDKs) that can be incorporated into mobile apps, and, increasingly, web apps and other digital channels. MBSs are commonly cloud-hosted services, but they can also be deployed in a virtual private cloud or even on-premises. The services are delivered as middleware between the client resident mobile apps and the enterprise systems of record, whether on-premises or in the cloud, along with any public or third-party data sources. In addition, many MBS providers also offer hosted databases for both structured and unstructured data. These hosted solutions can be independent of back-end data repositories, or they can be a buffer for the systems of record and provide a cached data source to isolate back ends from high transaction rates, which are often seen in conjunction with mobile apps.
Amazon Web Services (AWS) has 1 product in Mobile Back-End Services market
Multichannel Marketing Hubs
Gartner defines multichannel marketing hubs (MMHs) as software applications, primarily delivered as SaaS, that orchestrate personalized campaigns and event-driven customer journeys across marketing channels. These applications leverage customer data, predictive models and real-time insights to optimize the timing, channel and content of interactions. MMHs apply advanced analytics, AI and prescriptive intelligence to help marketing and technical teams manage the end-to-end life cycle of customer journeys. Although MMHs overlap with customer data platforms (CDPs) and personalization engines, their primary focus is enabling marketing users to manage large-scale consumer interactions, particularly in owned media channels such as email and app push. Multichannel marketing hubs empower marketers to deliver personalized media and orchestrate customer journeys, thus driving revenue, engagement and loyalty. These SaaS applications unify customer data, predictive insights and real-time decision making to optimize interactions across digital channels. MMHs enable multidisciplinary teams to manage campaigns and event-driven journeys via advanced analytics, artificial intelligence/machine learning (AI/ML) and prescriptive intelligence.
Amazon Web Services (AWS) has 1 product in Multichannel Marketing Hubs market
Multicloud Key Management as a Service (KMaaS)
Multicloud key management as a service (KMaaS) is a cloud-based security solution that provides centralized cryptographic key management across multiple cloud platforms and hybrid environments, including AWS, Microsoft Azure, Google Cloud Platform, and on-premises systems. These are deployed as SaaS and may also use a hardware security module (HSM). KMaaS controls the keys across multiple CSPs and may also support customer managed keys (CMKs) by integrating to CSP-native bring-your-own-key (BYOK) solutions to enable consistent data access control policies. KMaaS supports business adoption of cloud services by enabling access to data more securely through consistent cryptography. KMaaS should be deployed to reduce exposure to data residency, security and privacy risks. This involves preventing inappropriate clear-text access by staff or CSPs to data or encryption keys at each location. The primary goal of Multicloud KMaaS is to simplify key management complexity, enhance data security, ensure regulatory compliance, and provide greater control and visibility over an organization's cryptographic assets, all delivered as a managed service, thereby reducing the need for dedicated on-premises hardware or disparate key management systems for each cloud.
Amazon Web Services (AWS) has 1 product in Multicloud Key Management as a Service (KMaaS) market
Network Firewalls (Transitioning to Hybrid Mesh Firewall and Cloud Firewalls)
Gartner defines the network firewall market as the market for firewalls that use bidirectional stateful traffic inspection (for both egress and ingress) to secure networks. Network firewalls are enforced through hardware, virtual appliances and cloud-native controls. Network firewalls are used to secure networks. These can be on-premises, hybrid (on-premises and cloud), public cloud or private cloud networks. Network firewall products support different deployment use cases, such as for perimeters, midsize enterprises, data centers, clouds, cloud-native and distributed offices.
Amazon Web Services (AWS) has 1 product in Network Firewalls (Transitioning to Hybrid Mesh Firewall and Cloud Firewalls) market
Network Security Microsegmentation
Gartner defines network security microsegmentation — also referred to as zero-trust network segmentation — as an effort that can create more granular and dynamic access policies than traditional network segmentation (often north-south traffic segmentation). It allows the insertion of a security policy between any two workloads in the same broadcast domain — with microsegmentation technologies narrowing fine-grained network zones down to individual assets and applications. Microsegmentation tools support the implementation of finer-grained zoning across public, private and hybrid cloud infrastructures. Cybersecurity leaders must understand the key features, use cases, and role of microsegmentation in their environment, as well as determine which model is the best fit for their needs.
Amazon Web Services (AWS) has 1 product in Network Security Microsegmentation market
Observability Platforms
Gartner defines observability platforms as products used to understand the health, performance and behavior of applications, services and infrastructure. They do this by ingesting telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. Observability platforms enable analysis of the ingested telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience, such as outages or performance degradation. This allows early, and even preemptive, problem remediation. Observability platforms are used by IT operations, site reliability engineers, cloud and platform teams, application developers and product owners. Modern businesses rely heavily on critical digital applications and services, which are revenue-generating, client-facing and important to the efficient operation of the business. Outages, performance degradation and unreliability directly impact top-line revenue, client sentiment and brand perception. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
Amazon Web Services (AWS) has 2 products in Observability Platforms market
Public Cloud Storage Services, Worldwide (Transitioning to Strategic Cloud Platform Services)
Public cloud storage is infrastructure as a service (IaaS) that provides block, file, object and hybrid cloud storage services delivered through various protocols. The services are stand-alone, but often used in conjunction with compute and other IaaS products. The services are priced based on capacity, data transfer and/or number of requests. The services provide on-demand storage capacity and self-provisioning capabilities. Stored data exists in a multitenant environment, and users access that data through the block, network and REST protocols provided by the services.
Amazon Web Services (AWS) has 5 products in Public Cloud Storage Services, Worldwide (Transitioning to Strategic Cloud Platform Services) market
- 3 more products
Service Mesh
Gartner defines the service mesh market as the market for distributed computing middleware that enables, secures and optimizes communications between services running primarily in container management systems. A service mesh provides lightweight mediation, dynamic service discovery, request routing, observability, traceability and communication security. The service mesh is a technology that provides software infrastructure for communications between distributed application components deployed mainly in container management systems such as Kubernetes. This type of middleware helps manage and monitor service-to-service (east-west) communications, especially among microservices within an application domain. It also provides visibility into service interactions, enabling proactive operations and faster diagnostics. It automates complex communication concerns, thereby improving security, developer productivity and ensuring that standards and policies are enforced consistently across applications.
Amazon Web Services (AWS) has 1 product in Service Mesh market
Speech Analytics Platforms (Transitioning to Conversation Analytics Platforms)
The market for SA platforms in customer service and support is an application that analyzes speech content in customer interactions in real time and postcontact. Vendors providing these services offer the following solutions: -Transcription and metadata for traits of the interaction, including sentiment analysis -Interface for designing workflows and visualizing data -Storage and flexible deployment options -Ability to customize speech models, encrypt and redact sensitive data, and integrate with the enterprise ecosystem. Informed application of SA technology capabilities will help customer service and support leaders monitor and evaluate customer interactions to improve customer and employee experience. SA platforms can either be stand-alone analytics platforms with integration capabilities or can be included natively as part of broader customer engagement suites.
Amazon Web Services (AWS) has 1 product in Speech Analytics Platforms (Transitioning to Conversation Analytics Platforms) market
Speech-to-Text Solutions
Gartner defines speech-to-text (STT) platforms as business applications that process speech content, either live or in batch to produce: A transcript of the conversation Metadata about the call, the callers, attributes of call, emotional context Value-added services (e.g., biometric, legal) Workflow tools to support downstream work (e.g., intent detection, CRM updates) The capabilities of STT solutions vary. At a minimum, providers can offer a set of generic APIs with no tailored industry offering. More advanced solutions support complex deployments of edge technologies tailored to specific industries such as medical and legal. As natural language experiences are rapidly adopted by customers, users and employees, STT solutions must address a number of deployment configurations and be tailored for end-user domain knowledge to improve their accuracy.
Amazon Web Services (AWS) has 1 product in Speech-to-Text Solutions market
Strategic Cloud Platform Services
Gartner defines strategic cloud platform services (SCPS) as standardized, automated, public cloud offerings integrating infrastructure services (for example, computing, network and storage), platform services (for example, application, data and value-added services such as AI/ML) and transformation services (resources to help customers adopt cloud-oriented IT delivery models). Although owned by the service provider, infrastructure and platform services may be hosted in providers’ infrastructures or customers’ data centers. Services should be elastically scalable, metered by use and consumable via web-based interfaces and programmable APIs. Transformation programs may be delivered by automated, self-service interfaces, and managed interactions facilitated by account teams/partners.
Amazon Web Services (AWS) has 1 product in Strategic Cloud Platform Services market
Test Data Management
Test Data Management (TDM) is the process of provisioning data for development and testing in preproduction environments. It ensures efficient, high-quality datasets while safeguarding data privacy and sensitive corporate information to meet compliance and security requirements. Modern TDM solutions leverage synthetic data generation, alongside data subsetting and masking techniques, to provide realistic yet secure test data. These solutions are widely used by software developers, QA engineers, data analysts, and IT security teams to optimize testing, maintain regulatory compliance, and enhance application reliability.
Amazon Web Services (AWS) has 1 product in Test Data Management market
Visual Intelligence
Visual intelligence helps customers find products with relevant visual attributes using real-world images, video and text. Expanding on visual search capabilities, this helps customers identify a specific product, provides related content or detailed information, or otherwise triggers engagement. These solutions analyze catalogs to understand taxonomy and product attributes in addition to visual features, product identification using technologies like computer vision, natural language processing and machine learning. This technology helps ease the path to purchase, driving consumers in sectors like Healthcare, Sports & entertainment, manufacturing , retail etc., from awareness to conversion in an instant by presenting products with relevant visual attributes.
Amazon Web Services (AWS) has 1 product in Visual Intelligence market