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Premium Research Oct 2026
... disruption, this scenario-based guide maps the enterprise applications market from 2026 into the 2040s. Download it to compare four scenarios, spot genuine AI-native vendors, and get buy-versus-build, cost, agent and contract negotiation moves you can act on now. High-Level Overview Contributors Gartner Recommended ...

Analyst(s):   Patrick Connaughton   |   Mark O'Neill
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Premium Research Aug 2024
... agencies are rapidly acquiring AI products and services to enable operational excellence, automate decision intelligence and enhance military readiness. Product leaders can use this research to observe new market insights and improve their competitiveness in the growing AI marketplace. Gartner Research ...

Analyst(s):   Daniel Snyder   |   George Sellner   |   Michael McFerron
Premium Research Oct 2025
... Current AI agents cannot handle enough actions to implement complex workflows. Multiagent systems break through this limit but introduce new challenges. Understanding this constraint will help AI leaders plan effective agent deployments and manage expectations for automation potential. Gartner Research ...

Analyst(s):   Van Baker   |   Tom Coshow
Research Sep 2026
... Access Insights Already a Gartner client? Native visual reasoning is emerging as a complement to language reasoning, which will offer differentiation in spatial, structural and physical problem solving. Product leaders must identify high-value workflows and prepare modular architectures for visual reasoning ...

Analyst(s):   Hao Yin   |   Arnold Gao   |   Lacy Lei
Premium Research Aug 2026
... Gartner First Takes Fresh insights on emerging trends IT procurement leaders must reduce exposure to AI supplier disruptions by mitigating concentration risk and preparing rapid migration plans. A recent U.S. federal court decision appears to restore a path to doing business with Anthropic, but broader ...

Analyst(s):   Charity Hooper   |   Dawn Singer   |   Elisabeth Glass
Research Oct 2026
... Access Insights Already a Gartner client? AI agents are becoming autonomous decision makers across demand generation workflows, pushing leaders to rethink human involvement. CMOs must align agent autonomy with decision risk to scale execution without increasing operational, financial or reputational ...

Analyst(s):   Ray Pun   |   Amy Jenkins   |   Richard Tso
Research Oct 2026
... Access Insights Already a Gartner client? Agentic AI initiatives often produce operational improvements before economic outcomes emerge. Heads of I&O should align ROI calculations with the investment objective and evaluate value through the organizational changes that create economic return. Insights ...

Analyst(s):   Elaine Zhang   |   Kuldeep Singh   |   Mike Leibovitz
Research Oct 2026
... Access Insights Already a Gartner client? The gap between AI investment and realized value remains stubbornly wide. CIOs can use the Reimagine Workshop to bring business and technology teams together to rethink how work is executed and where value is created, uncovering opportunities that go beyond productivity ...

Analyst(s):   Nick Reddall   |   Kabeh Vaziri   |   Caroline Hewings   |   Ayca Moseley   |   Eyad Tachwali   |   Hung LeHong   |   Janelle Hill   |   Alicia Mullery
Research Oct 2026
... Access Insights Already a Gartner client? Optimizing AI coding agent costs requires reducing token waste within engineering workflows rather than relying on vendor negotiations and spending limits. Software engineering leaders should use token reduction tools as a quick win within a broader token optimization ...

Analyst(s):   Alec Pallin   |   Neha Agarwal   |   Dilisha Menon
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