Asia Pacific Enterprise Agentic Ai Market Size & Outlook
Asia Pacific Enterprise Agentic Ai Market, 2018-2030 (US$M)
Global Market
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Asia Pacific enterprise agentic ai market highlights
- The Asia Pacific enterprise agentic ai market generated a revenue of USD 626.1 million in 2024.
- The market is expected to grow at a CAGR of 49.9% from 2025 to 2030.
- In terms of segment, machine learning was the largest revenue generating technology in 2024.
- Deep Learning is the most lucrative technology segment registering the fastest growth during the forecast period.
- Country-wise, South Korea is expected to register the highest CAGR from 2025 to 2030.
Asia Pacific data book summary
| Market revenue in 2024 | USD 626.1 million |
| Market revenue in 2030 | USD 6,892.8 million |
| Growth rate | 49.9% (CAGR from 2025 to 2030) |
| Largest segment | Machine learning |
| Fastest growing segment | Deep Learning |
| Historical data covered | 2018 - 2023 |
| Base year for estimation | 2024 |
| Forecast period covered | 2025 - 2030 |
| Quantitative units | Revenue in USD million |
| Market segmentation | Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision |
| Key market players worldwide | qBotica, NVIDIA Corp, SAP SE ADR, Oracle Corp, Accenture, OpenAI, Capgemini, Celonis, Dataiku, Shield AI |
Other key industry trends
- In terms of revenue, Asia Pacific region accounted for 24.2% of the global enterprise agentic ai market in 2024.
- Globally, North America is projected to lead the regional market in terms of revenue in 2030.
- Asia Pacific is the fastest growing regional market and is projected to reach USD 6,892.8 million by 2030.
The enterprise agentic AI industry in the Asia Pacific is anticipated to register the highest CAGR over the forecast period. Countries such as China, India, and Japan are making substantial investments in AI research and development, which supports innovation and accelerates market growth
The adoption of agentic AI is expanding across various sectors, including manufacturing, healthcare, and finance, to improve efficiency, reduce costs, and enhance customer engagement. The increasing availability of data, coupled with advancements in AI technologies, further fuels the growth of the enterprise agentic AI industry in the Asia Pacific region.
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Publish Date: Apr 01, 2025
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Enterprise Agentic AI Market Scope
Enterprise Agentic AI Market Companies
| Name | Profile | # Employees | HQ | Website |
|---|---|---|---|---|
| Oracle Corp | View profile | 164,000 | 2300 Oracle Way, Austin, TX, United States, 78741 | www.oracle.com |
| NVIDIA Corp | View profile | 29,600 | 2788 San Tomas Expressway, Santa Clara, CA, United States, 95051 | www.nvidia.com |
| SAP SE ADR | View profile | 107,602 | Dietmar-Hopp-Allee 16, Walldorf, BW, Germany, 69190 | www.sap.com |
| OpenAI | View profile | 501-1000 | San Francisco, California, United States, North America | www.openai.com |
| Shield AI | View profile | 501-1000 | San Diego, California, United States, North America | www.shield.ai |
| Accenture | View profile | - | - | - |
| Capgemini | View profile | - | - | - |
| qBotica | View profile | 101-250 | Phoenix, Arizona, United States, North America | www.qbotica.com |
| Celonis | View profile | 1001-5000 | Munich, Bayern, Germany, Europe | www.celonis.com |
| Dataiku | View profile | 1001-5000 | New York, New York, United States, North America | www.dataiku.com |
Asia Pacific Enterprise Agentic AI Market Outlook
The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to Enterprise Agentic AI Market Outlook will help companies and investors design strategic landscapes.
Machine Learning was the largest segment with a revenue share of 44.59% in 2024.
Horizon Databook has segmented the Asia Pacific enterprise agentic ai market based on machine learning, natural language processing (nlp), deep learning, computer vision covering the revenue growth of each sub-segment from 2018 to 2030.
The enterprise agentic AI industry in the Asia Pacific is anticipated to register the highest CAGR over the forecast period. Countries such as China, India, and Japan are making substantial investments in AI research and development, which supports innovation and accelerates market growth
The adoption of agentic AI is expanding across various sectors, including manufacturing, healthcare, and finance, to improve efficiency, reduce costs, and enhance customer engagement. The increasing availability of data, coupled with advancements in AI technologies, further fuels the growth of the enterprise agentic AI industry in the Asia Pacific region.
- Asia Pacific Enterprise Agentic Ai Market Technology Outlook (Revenue, USD Million , 2018-2030)
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Computer Vision
- Others
- Asia Pacific Enterprise Agentic Ai Market Agent System Outlook (Revenue, USD Million , 2018-2030)
- Single Agent Systems
- Multi Agent Systems
- Asia Pacific Enterprise Agentic Ai Market Type Outlook (Revenue, USD Million , 2018-2030)
- Ready-to-Deploy Agents
- Build-Your-Own Agents
- Asia Pacific Enterprise Agentic Ai Market Application Outlook (Revenue, USD Million , 2018-2030)
- Customer Service and Virtual Assistants
- Robotics and Automation
- Healthcare
- Financial Services
- Security and Surveillance
- Gaming and Entertainment
- Marketing and sales
- Human Resources
- Legal and compliance
- Others
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Horizon Databook provides a detailed overview of continent-level data and insights on the Asia Pacific Enterprise Agentic AI Market Outlook, including forecasts for subscribers. This continent databook contains high-level insights into Asia Pacific Enterprise Agentic AI Market Outlook from 2018 to 2030, including revenue numbers, major trends, and company profiles.
Asia Pacific Enterprise Agentic Ai Market, 2018-2030 (US$M)
Asia Pacific enterprise agentic ai market statistics, by technology, 2018-2030 (US$M)
