AI/ML Private Sector B2B Spending in Southeast Asia


Actionable Benefits
- Identify growth opportunities and formulate the right messaging and strategies for Artificial Intelligence (AI) solutions in specific verticals.
- Educate internal and external stakeholders about the impact of AI on software adoption and digital transformation.
- Evaluate strategies based on the relative growth of varying AI frameworks in specific verticals.

Research Highlights
- Detailed coverage of country spending data, verticals, and frameworks.
- Evaluating AI/Machine Learning (ML) spending software for the private sector’s Business-to-Business (B2B) use.
- Vertical analysis of growth opportunities by AI framework spending.

Critical Questions Answered
- How will AI spending and adoption evolve in different markets in Southeast Asian over the next 5 years?
- What are the critical growth opportunities of frameworks in various verticals?
- Which verticals will be the fastest growing and biggest spenders in AI software?

Who Should Read This?
- Product strategists of AI software developers.
- AI solution providers looking to understand short-term and long-term vertical-specific opportunities.
- Investors gauging the potential for growth in the markets covered.
- Sales and marketing leaders in diverse markets affected by AI.
Pivot Table Dataset
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AI/ML Private Sector B2B Spending in Southeast Asia by Vertical
4 Columns | 294 Rows (1176 data points)
Country: Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam
Vertical: Agriculture, BFSI, Corporate Functions, Logistics, Manufacturing, Others, Telcommunications
Years: 2022 - 2028 -
AI/ML Private Sector B2B Spending in Southeast Asia by Technology
4 Columns | 126 Rows (504 data points)
Country: Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam
Technology: Computer Vision, Graph-Based and Tabulating Models, Natural Language Processing
Years: 2022 - 2028 -
AI/ML Private Sector B2B Spending in Southeast Asia by Framework Vertical and Technology
4 Columns | 126 Rows (504 data points)
Vertical: Agriculture, BFSI, Corporate Functions, Logistics, Manufacturing, Telecommunications
Technology: Computer Vision, Graph-Based and Tabulating Models, Natural Language Processing
Years: 2022 - 2028
Version History
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AI/ML Private Sector B2B Spending in Southeast Asia
Market Data | 1Q 2025 | MD-SEAS-101
Tables
- Overall B2B AI/ML Spending by Country, SEA Major Markets: 2022 to 2028
- Overall B2B AI/ML Spending by Vertical, SEA Major Markets: 2022 to 2028
- Overall B2B AI/ML Spending Percentage by Framework, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Vertical, Singapore: 2022 to 2028
- B2B AI/ML Spending by Vertical, Vietnam: 2022 to 2028
- B2B AI/ML Spending by Vertical, Indonesia: 2022 to 2028
- B2B AI/ML Spending by Vertical, Thailand: 2022 to 2028
- B2B AI/ML Spending by Vertical, Malaysia: 2022 to 2028
- B2B AI/ML Spending by Vertical, Philippines: 2022 to 2028
- B2B AI/ML Spending by Framework, Singapore: 2022 to 2028
- B2B AI/ML Spending by Framework, Vietnam: 2022 to 2028
- B2B AI/ML Spending by Framework, Indonesia: 2022 to 2028
- B2B AI/ML Spending by Framework, Thailand: 2022 to 2028
- B2B AI/ML Spending by Framework, Malaysia: 2022 to 2028
- B2B AI/ML Spending by Framework, Philippines: 2022 to 2028
- B2B AI/ML Spending by Framework - Manufacturing, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Framework - Agriculture, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Framework - BFSI, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Framework - Logistics, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Framework - Telecommunications, SEA Major Markets: 2022 to 2028
- B2B AI/ML Spending by Framework - Corporate Functions, SEA Major Markets: 2022 to 2028
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