Generative AI & Agentic AI Projects List 2026
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About the database
The database is suited for
- AI strategy/business case development
- Sector scan
- Customer/vendor selection
- Competitive analysis
- Go-to-market/market entry strategy
- Autonomy and agentic-architecture benchmarking
Who the database is for
AI, cloud, and software vendors
See where generative AI and AI agents are creating value by industry, department, and activity, which customers competitors reference publicly, and where agentic deployments are still rare. Use it to sharpen ideal customer profiles, build target account lists, and position your offering against named competitor references.
Consultants and system integrators
Benchmark clients against 1,533 documented deployments, build use-case shortlists by industry and function, and support business cases with public, vendor-published references that can be traced back to the source.
Investors
Track where enterprise adoption of generative and agentic AI is concentrating by vendor, region, industry, and year, and how far deployments have progressed from output-only assistants toward autonomous execution.
What’s new in the 2026 edition
- Nearly 3x the coverage: 1,533 projects, up from 530 in the 2025 edition
- Agentic AI in scope: the list now covers both generative AI and agentic AI case studies
- Level of autonomy: every project is rated on a 0–3 tier, from output-only assistance to self-directed autonomous operation
- Level of agentic: every project is classified as a non-agentic chatbot/assistant, a single-agent system, or a multi-agent system
- Evidence-based classification rules: the Taxonomy tab documents inclusion and tie-breaker rules for every autonomy tier and agentic level, so no project is labeled agentic based on vendor branding alone
The list is a structured repository of 1,533 generative AI and agentic AI projects
Every entry is based on public information published on a vendor’s own website, such as a customer case study or partner success story. A project is included only if it focuses on the use of generative or agentic AI and enough information is publicly available to classify it. The database was last updated in September 2026.
Coverage at a glance
- 1,533 projects from more than 1,200 named customer organizations
- Case studies published by AI model, cloud, and software vendors, including Microsoft, Google Cloud, AWS, OpenAI, Anthropic, Alibaba Cloud, and Oracle, as well as in-house developments
- 18 ISIC industry sections, 60 countries, and 4 regions (North America, EMEA, APAC, South America)
- Projects implemented or published between 2022 and 2026
- 14 departments and 70 activities, with up to 5 tagged activities per project
Database structure
| Column name | Description |
|---|---|
| Company | Name of the customer organization that implemented the project, where the source names one |
| Industry (ISIC classification) | ISIC industry section of the customer organization |
| Project description | Description of the project based on the public case study |
| Country | Country that the project took place in |
| Region | Region that the project took place in (North America, EMEA, APAC, South America) |
| Vendor | Name of the vendor that published the case study/project on its website |
| Year | Year that the project was implemented or published |
| Level of autonomy (new) | Execution-autonomy tier showing how much of the work the system performs without a human directing each step: Tier 0 (output-only assistance), Tier 1 (human-directed tool or workflow execution), Tier 2 (bounded autonomous execution), or Tier 3 (self-directed autonomous operation) |
| Level of agentic (new) | Agentic architecture of the system: Level 0 (non-agentic chatbot/assistant), Level 1 (single-agent), or Level 2 (multi-agent) |
| Link | Source URL of the case study/project |
| Key department and activities that are improved by each project | Each project is grouped into one or more of the following 14 departments: Sales, Marketing, Operations, Maintenance/Field Service, Finance & Accounting, Human Resources, IT/Technology, R&D, Customer Service/Support, Legal, Risk & Compliance, Procurement, Supply Chain & Logistics, Corporate Strategy, and Facilities & Workplace. Each department is broken down into key activities (70 in total), and a project can be tagged with up to 5 activities. |
Companies mentioned
A selection of companies mentioned in the report.
Accenture
Alibaba Cloud
Anthropic
AWS
IBM
Microsoft
Mistral
NVIDIA
OpenAI
Oracle
Related reading
A research article based on this report: Are we in an AI bubble? – What our analysis says (and why the answer is no)
Our insights are trusted by global industry leaders
Team License
- 1–5 named users within a particular department and country
- List of 1,533 Generative AI & Agentic AI projects in XLSX
- 1 hour discussion with the analyst team
Enterprise License
- Unlimited users within a particular business division globally
- List of 1,533 Generative AI & Agentic AI projects in XLSX
- 1 hour discussion with the analyst team
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- Database structure
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