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.
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.
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.
Gartner defines enterprise AI coding agents as autonomous or semiautonomous software engineering solutions that perceive context, translate human intent into multistep plans, and execute and verify those steps across code, tests and related engineering artifacts. Enterprise AI coding agents enable developers to prompt, steer, delegate and supervise workflows through synchronous or asynchronous modes with varying human oversight, delivered via IDEs, CLIs, cloud environments and collaboration platforms. This market focuses on solutions designed for enterprise software engineering organizations and their requirements for governance, integration and scale. Enterprise AI coding agents are an evolution of AI code assistants. While code assistants primarily suggest code, complete snippets and answer questions in a chat interface, enterprise AI coding agents enable software engineering teams to delegate and offload a greater portion of development work through dynamic task planning and tool use.
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.
Mobile development framework refers to a preestablished set of tools, libraries and components designed to facilitate the creation of mobile and/or multi-experience applications. These frameworks provide developers with a structured environment and standardized methodologies for building platform-native and cross-platform apps which run on operating systems such as iOS and Android. They typically include features for user interface (UI) design, data management and device compatibility, streamlining the development process and enabling faster deployment of mobile apps. Mobile development frameworks streamline the app creation process by providing software development kits (SDKs) consisting of prewritten code libraries and tools, reducing development time and resources. The majority of them offer cross-platform compatibility, allowing businesses to deploy apps on multiple platforms using a single language with minimal rewrites, thus saving costs and enabling a wider audience reach. By ensuring consistent user experiences on mobile devices and platforms, mobile development frameworks enhance brand identity. Additionally, they support scalability, enabling businesses to accommodate growing user bases and evolving needs without major overhauls. Mobile development frameworks provide access to a variety of device features and integrations, such as push notifications and analytics, enriching app functionality and enhancing user engagement. Leveraging community support and ecosystems, organizations can troubleshoot issues, access resources and stay updated with industry best practices, further optimizing app development efforts. Overall, mobile development frameworks address an enterprise’s need for efficient, cost-effective and scalable mobile app development, contributing to faster time to market, a wider audience reach and enhanced user experience (UX).
The workstream collaboration (WSC) market consists of products that deliver a conversational workspace based on a persistent group chat. Products in this market are primarily used to organize, coordinate, and execute outcome-driven teamwork such as that associated with the project- or process-related activities. Secondary uses can include ad hoc collaboration and community discussions.