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Premium Research Sep 2026
... Vendors are racing to build insurance AI agents, but the vendors attracting attention today will not necessarily be the ones that generate the most agentic AI revenue tomorrow. The winners will not depend on building the best agents; they will own the workflows insurers cannot replace. Insights at a ...

Analyst(s):   James Ingham
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Research Sep 2026
... Access Insights Already a Gartner client? AI doomsday fears may seem sensationalized, but the underlying supply chain risks are real. Providers that prepare for model disruption through sensible AI caution can protect delivery, strengthen client confidence and turn uncertainty into a profitable resilience ...

Analyst(s):   Craig Lowery
Premium Research Sep 2026
... Optimize your AI budget by understanding functional spending trends, balancing investments across defend, extend, and upend categories, and targeting clear outcomes like productivity to maximize return on investment. Insights at a Glance Issue Impact Implications Gartner Recommended Reading Gartner Insights ...

Analyst(s):   Moutusi Sau   |   Kristen Richardson   |   Tina Nunno   |   Birgi Tamersoy   |   Whit Andrews
Research Jul 2026
... Tech giants rarely seek traditional reseller channel partnerships with AI vendors. Instead, they aim to invest, acquire, or become early customers to fuel their own strategic edge. To successfully secure partnerships for agentic AI solutions, product leaders should target tech giants as investors, customers ...

Analyst(s):   Ethan Cai   |   Alfredo Ramirez IV   |   Christine Tenneson   |   Aakanksha Bansal   |   Kiumarse Zamanian
Research Sep 2026
... client? Expanding market position requires calibrating AI solution portfolio strategies using a dual-speed playbook for SMEs and large adopters, reflecting divergent risk tolerances and operational complexities. Product leaders should align their AI investments to the operational scale and risk appetite ...

Analyst(s):   Gunjita Mundeja   |   Vibha Chitkara
Research Oct 2026
... Access Insights Already a Gartner client? AI buying demand has collapsed technology adoption cycles, creating a behavioral divide that requires a dual-mode AI GTM strategy to eliminate resource waste and capture disproportionate market share. This shift optimizes engagement by aligning resource investment ...

Analyst(s):   Suzanne White   |   Kevin Lindsay   |   Michelle Shapiro
Research Jul 2026
... Already a Gartner client? Palo Alto Networks leads AI-driven network security through global partnerships in AI data centers, 5G infrastructure, and IoT fleets. Competitors can close the gap by adopting unified cross-protocol correlation, hardware-edge AI, and autonomous SOC platforms. Overview Analysis ...

Analyst(s):   Peter Liu   |   Sylvain Fabre   |   Mohini Dukes
Research Sep 2026
... Access Insights Already a Gartner client? Capgemini is the front-runner in the sovereign AI services race with ecosystem orchestration, multiplatform delivery and enterprise-scale execution. Competitors can close the gap by expanding sovereign ecosystems, enhancing open-source and advisory capabilities ...

Analyst(s):   Rene Buest   |   Fernando Pereiro   |   Luis Pinto
Premium Research Aug 2026
... No single vendor leads the industrial AI market today. Product leaders who effectively orchestrate key capabilities across operational context, industrial execution, and ecosystem orchestration to deliver scalable business and operational outcomes will dominate high-value markets. Insights at a Glance ...

Analyst(s):   Sruthi Nair   |   Jonathan Davenport   |   Lloyd Jones   |   Ricardo Chang
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