G2, the world's largest and most trusted software marketplace, has released its 2025 AI Agents Insights Report, based on a survey of over 1,000 B2B decision-makers. The findings reveal that AI agents are maturing beyond generative AI's advisory role, autonomously executing tasks and delivering tangible ROI. Nearly 60% of organizations have agents in production, with over half planning expansions in scope or budget within 12 months.
The report signals a shift from generative AI's hype to agentic AI's impact, with organizations prioritizing outcomes over tools. Tim Sanders, Chief Innovation Officer at G2, said, “Agents are the great leap in the application of AI technology... signaling a shift from measuring individual productivity to predicting organizational velocity. That transition is being powered by trust, as agent systems are far more likely to advance to deployment in 2025 when they maintain a human in the loop.”
Companies focus on ROI-driven investments, shortening testing-to-scaling cycles. SMBs (1-250 employees) lead in production adoption (57%), with enterprises (1,000-5,000) allocating larger budgets. Leading use cases reflect operational priorities: customer service (streamlining interactions), business intelligence (data-driven decisions), and software development (code generation/automation).
Agents fulfill efficiency promises, with median 23% speed-to-market gains and up to 50% in marketing/sales per G2 data. 83% satisfaction indicates low churn; 34% embrace full autonomy post-testing, with human-in-the-loop strategies twice as likely to yield 75%+ cost savings.
Agents boost employee satisfaction (90%), redeploying talent to high-value work (45% predict net job growth by 2028). Nearly 50% grant full autonomy in low-risk workflows, fostering inclusion and velocity.
Agents mandate SaaS adaptation: 1 in 3 would switch vendors for agent functionality; 68% envision complementary augmentation. A2A interoperability is emerging (50%), enabling cross-vendor coordination.
G2's report, informed by generative AI for design and analysis, underscores agents' maturation, urging vendors to evolve messaging and pricing for an agentic future.
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