Gartner AI Adoption Tracker
Last updated: March 12, 2026
Overview
Gartner, a leading business and technology research company, has established itself as the world authority on AI, providing strategic guidance to C-suite executives across all business functions[1]. The company operates through three segments - Research, Conferences, and Consulting - delivering AI insights to approximately 14,000 enterprises in nearly 90 countries[2]. In 2025, Gartner conducted over 200,000 client conversations on AI and published more than 6,000 written insights, with its proprietary AskGartner AI tool helping clients determine how to leverage AI in their business[3]. As AI has become CEO's top priority, Gartner positions itself as the indispensable partner for implementing AI strategies to achieve mission-critical priorities[4].
AI Maturity Index
Radar Comparison
Peer Comparison: Gartner vs technology
Based on 71 companies in sector
| Dimension | Gartner | Sector Avg | Diff |
|---|---|---|---|
| Adoption | 5.0 | 4.0 | +1.0 |
| Proficiency | 5.0 | 4.0 | +1.0 |
| Impact | 5.0 | 4.1 | +0.9 |
| Overall | 5.0 | 4.1 | +0.9 |
AI Hiring Signals
Gartner Job Postings Analysis
Tech vs Non-Tech AI Requirements
Non-tech AI adoption exceeds tech roles - strong org-wide AI fluency signal
Top Departments by AI Mention Rate
Analysis
Gartner shows remarkable AI adoption across all functions, with non-tech roles (12.7%) actually exceeding tech roles (11.5%) in AI mentions, indicating comprehensive organizational AI integration. This reflects Gartner's position as the world authority on AI, with AI capabilities needed across research, consulting, and client advisory functions.
View Sample Job Postings (8 sources)
Key Metrics
AI Initiatives
Companies to Beat in AI Vendor Race Analysis
December 2025
Research identifying market leaders across nearly 30 AI technology races in five categories
Comprehensive analysis identifying companies like Google (Enterprise Agentic AI), Palo Alto Networks (AI Security), and Microsoft (Enterprisewide AI) as leaders in their respective AI segments.
AI Opportunity Radar
February 2025
Framework to establish AI ambitions and explore opportunities across four enterprise areas
Helps leaders explore AI opportunities in products/services, core capabilities, customer experience, and back office operations, distinguishing between everyday AI and game-changing AI initiatives.
AskGartner AI Tool
2025
Proprietary AI-powered tool that provides clients instant access to trusted Gartner insights
Clients across the C-Level use this tool to determine how to leverage AI in their business. The tool gives improved user experience by providing faster, more efficient access to Gartner's insights.
AI Use Case Insights Database
2025
Comprehensive database of over 500 AI use cases and case studies tailored by industry
Interactive tool that helps technology and business leaders efficiently discover, evaluate, and prioritize AI use cases to potentially pursue. Includes over 380 case studies of real-world examples.
AI Maturity Model & Roadmap Toolkit
2025
Framework to assess AI maturity across seven key areas and develop customized AI roadmaps
Evaluates organizations across strategy, product, governance, engineering, data, operating models, and culture to provide baseline assessment and guide strategic AI initiatives.
Frequently Asked Questions
Gartner conducts over 200,000 client conversations on AI annually, publishes 6,000+ written insights, maintains 1,000+ AI use cases and case studies, and employs 2,500+ business and technology experts providing independent, objective guidance to C-Level executives.
Gartner provides comprehensive AI guidance through research, advisory services, maturity assessments, roadmap development, and tools like the AI Opportunity Radar to help organizations establish AI ambitions and execute successful AI transformations.
Gartner forecasts worldwide AI spending will total $2.52 trillion in 2026, a 44% increase year-over-year, with AI infrastructure driving much of the growth as organizations build foundational AI capabilities.
Gartner identifies 'Companies to Beat' in nearly 30 AI technology races across five categories using methodology based on technical capabilities, customer implementations, potential customer base, business model, key partnerships, and broader ecosystem.
Gartner offers AskGartner (AI-powered insights tool), AI Use Case Insights database, AI Maturity Model & Roadmap Toolkit, and the AI Opportunity Radar framework to help organizations develop and execute AI strategies.
In Application
| Application | Vendor | Use Case |
|---|---|---|
| AskGartner | Gartner (Internal) | Proprietary AI-powered tool for clients to access Gartner insights instantly, helping determine how to leverage AI in their business |
Sources
Gartner is the world authority on AI
2024 Annual Report
Gartner Says Worldwide AI Spending Will Total $2.5 Trillion in 2026
Gartner Identifies the Companies to Beat in the AI Vendor Race
Gartner Survey Reveals That CEOs Believe Their Executive Teams Lack AI Savviness
Related Companies
About AI Tracker
AI Tracker is a research project by Larridin, the AI execution intelligence platform.
Methodology: We analyze earnings calls, press releases, partnership announcements, and product documentation. All assessments are based solely on publicly available information—no private customer data is used.
Maturity Scoring: Each dimension is rated on a 4-tier scale (Nascent → Emerging → Scaling → Leading) based on evidence from public sources. Industry averages are computed as the median across all tracked companies in the sector.