The quantum computing industry is transitioning from scientific theory to one of solving engineering challenges. As with any new technology, real tangible value is still very much under development, with commercial impact that will arrive unevenly across industries and across time periods. When it matures into a viable market, quantum computing will eventually create pockets of high-value advantage tied to specific commercial outcomes. This report defines Forrester’s view of that future state, explains how its value will unfold across time horizons, and helps leaders understand where quantum computing will matter.

Enterprise architects, this is your moment. You are now called to do something exceptionally difficult: Make hundreds of autonomous AI agents work seamlessly with complex legacy systems — multi-agent systems. We simply call it the future. To help you succeed, Forrester created the Agentic Runtime Architecture (ARA): a practical, event-driven conceptual framework built around nine core components that lets you scale, govern, and maximize interoperable agentic AI in production now. Move from POC-land to production posthaste.Key takeaways:Learn about Forrester's Agentic Runtime Architecture.Discover how to avoid architecture pitfalls and vendor lock-in.Target audience level: intermediate

Agentic AI is moving fast. Enterprises are shifting from experimentation to real deployments — using AI agents to act, not just answer. This should put integration at the forefront. After all, an AI agent without integration is merely an answer engine, it cannot take action. Yet many organizations are repeating a familiar mistake: building AI […]

Forrester’s clients continue to inquire about trends in software development. So in Forrester’s Developer Survey, 2025, we asked software developers from around the world about their technology adoption, drivers of adoption, and use of development technologies. In this data-driven report, we highlight some critical insights from this survey. Development leaders can use this report to understand the current state and trajectory of enterprise software development.

Modern software development, leveraging AI, has accelerated beyond the capabilities of traditional software development lifecycle (SDLC) approaches. Today’s leading organizations operate through an agentic development cycle that integrates planning, design, build, test, and delivery — all accelerated by AI, cloud‑native engineering, and continuous testing. This report provides technology leaders with a deep dive into the key components of Forrester’s Agentic Software Development (ASD) Model.

Modern software delivery now relies on an agentic software development lifecycle (SDLC) that strengthens traditional development stages with AI-enhanced coding, autonomous testing, and optimized delivery. Integrating agentic capabilities helps development teams move faster, improve quality, and stay aligned to business value. Read this report to understand how an agentic SDLC elevates speed, reliability, and business impact.

Enterprise architecture (EA) remains a critical capability for organizations operating at scale and over long time horizons. However, many digital and IT professionals view EA as a roadblock that adds no real value. High-performing EA teams must connect their work clearly to business value and business outcomes and remain grounded in core principles. Only then can EA translate its capabilities into clear services that provide value to digitally transforming organizations.

Integration must sit at the center of AI strategy. As new protocols like MCP and A2A reshape how applications expose capabilities to AI agents, firms must reimagine API design, event streaming, and security for an agent-driven world. Those that modernize their integration foundations will unlock AI that not only answers questions but also takes reliable, auditable, and cost-efficient action. Those that don’t will see AI sprawl, cost overruns, security gaps, and pilots that can’t scale. This report explores emerging trends in how integration teams support AI.

Enterprises are accelerating investment in MCP, but its newness raises questions about governance. The ideal approach is to establish governance early and extend proven API and integration governance strategies to AI agents. This positions API enablement teams and API management platforms as part of the foundation of MCP and broader AI governance. This report shows how enterprises can govern MCP by extending proven API governance practices to AI agents.

Agentic AI is poised to revolutionize enterprise technology, but current architectures struggle to support its dynamic needs. Forrester’s Agentic Runtime Architecture (ARA) offers a solution, providing a framework for managing autonomous AI agents and enabling them to seamlessly integrate with existing systems. With the ARA, businesses can scale agentic AI to its full potential, driving efficiency, collaboration, and optimized business outcomes.