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AI/ML Private Sector B2B Spending in Southeast Asia

Price: Starting at USD 7,500
Publish Date: 14 Jan 2025
Code: MD-SEAS-101
Research Type: Market Data
Pages: 11
Actionable Benefits

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

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

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?

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

  • 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

Tables

  1. Overall B2B AI/ML Spending by Country, SEA Major Markets: 2022 to 2028
  2. Overall B2B AI/ML Spending by Vertical, SEA Major Markets: 2022 to 2028
  3. Overall B2B AI/ML Spending Percentage by Framework, SEA Major Markets: 2022 to 2028
  4. B2B AI/ML Spending by Vertical, Singapore: 2022 to 2028
  5. B2B AI/ML Spending by Vertical, Vietnam: 2022 to 2028
  6. B2B AI/ML Spending by Vertical, Indonesia: 2022 to 2028
  7. B2B AI/ML Spending by Vertical, Thailand: 2022 to 2028
  8. B2B AI/ML Spending by Vertical, Malaysia: 2022 to 2028
  9. B2B AI/ML Spending by Vertical, Philippines: 2022 to 2028
  10. B2B AI/ML Spending by Framework, Singapore: 2022 to 2028
  11. B2B AI/ML Spending by Framework, Vietnam: 2022 to 2028
  12. B2B AI/ML Spending by Framework, Indonesia: 2022 to 2028
  13. B2B AI/ML Spending by Framework, Thailand: 2022 to 2028
  14. B2B AI/ML Spending by Framework, Malaysia: 2022 to 2028
  15. B2B AI/ML Spending by Framework, Philippines: 2022 to 2028
  16. B2B AI/ML Spending by Framework - Manufacturing, SEA Major Markets: 2022 to 2028
  17. B2B AI/ML Spending by Framework - Agriculture, SEA Major Markets: 2022 to 2028
  18. B2B AI/ML Spending by Framework - BFSI, SEA Major Markets: 2022 to 2028
  19. B2B AI/ML Spending by Framework - Logistics, SEA Major Markets: 2022 to 2028
  20. B2B AI/ML Spending by Framework - Telecommunications, SEA Major Markets: 2022 to 2028
  21. B2B AI/ML Spending by Framework - Corporate Functions, SEA Major Markets: 2022 to 2028