Gartner defines an AI gateway as a technology or platform that acts as an intermediary between applications and various artificial intelligence (AI) services or models. Its purpose is to simplify and manage access to AI capabilities, providing a central point to enable security, governance and observability of AI workloads.
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.
In the AI-driven era, the quality of APIs directly shapes user and agent experiences, accelerates innovation, and determines organizations’ competitive edge. Software engineering leaders must empower their teams with robust, purpose-built API testing tools to help execute on strategic success. API testing tools are essential for modern software delivery, with the primary purpose of ensuring functional quality and compatibility by allowing teams to create, run, and manage complex API test plans. These solutions are vital for validating API behavior and functionality across protocols like REST, SOAP, gRPC, and GraphQL. These tools accelerate delivery and boost productivity by integrating test automation into CI/CD pipelines.
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.