Gartner defines AI platforms for data science and machine learning (DSML) as platforms that support end-to-end AI model and agent development and life cycle management using diverse data science and AI techniques. These platforms enable data preparation, model building, deployment and governance, and are delivered as fully managed cloud services or on-premises infrastructure for AI experts and business users. AI platforms for DSML primarily target AI experts, including data scientists and AI engineers, providing a comprehensive suite of data science and AI techniques for augmented and automated decision making. These platforms support building models using data-intensive methods such as machine learning, as well as techniques such as simulation and optimization. They handle all types of data — tabular, image, video and text — for multimodal applications, such as computer vision, natural language processing (NLP) or composite AI, that combines optimization with machine learning.
Gartner defines the application security testing (AST) market as consisting of providers of products that enable organizations to assess applications for the presence and management of risk. These products identify risk by evaluating source code, performing runtime tests and inspecting supply chain components. AST products can be integrated throughout development workflows for continuous assessment or be used to perform ad hoc evaluations. They enable organizations to manage application risks by providing an integrated set of capabilities for risk identification, prioritization and triage, policy evaluation and enforcement, and remediation assistance. Market offerings are available in on-premises, SaaS and hybrid delivery models. Organizations leverage AST products to assess applications for the presence of security vulnerabilities and other risks (e.g., legal and operational) throughout their life cycle. These assessments are used to measure and manage the risks within individual applications, application components or groups of applications in the context of their business criticality and other key attributes (e.g., environment, sensitive data handling, etc.). AST products further enable organizations to evaluate software for compliance with internal policies as well as regulatory requirements established by governments or authoritative industry groups.
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 software supply chain security (SSCS) tools as solutions that reduce business technology risk by protecting against compromise from third-party software. Using threat intelligence, software composition analysis, software bills of materials and third-party governance, SSCS tools identify risk and ensure software integrity from acquisition through delivery, supporting SaaS and hybrid models and improving DevSecOps maturity.