東南アジアの持続可能な成長に向けたAIとMLの活用

Actionable Benefits

• Understand sustainability roadmaps and trajectory across countries in Southeast Asia (SEA).
• Understand key Artificial Intelligence (AI) and Machine Learning (ML) use cases and applications for sustainability.
• Understand how AI and ML solutions for sustainability are being implemented across verticals and countries.
• Identify key markets, verticals, and players in the AI-enabled sustainable solutions market within SEA.

Critical Questions Answered

• What are some of the regulation roadmaps and long-term sustainability commitments across SEA countries?
• What are some examples of real-world implementations of AI and ML technologies driving sustainable growth in the different sectors?
• Who are some of the innovative regional players implementing AI-enabled sustainability software solutions?

Research Highlights

• Highlights international and domestic reporting regulations and climate standards overview.
• Deep analysis into key AI and ML applications that are driving sustainable growth across various enterprise verticals.
• Identifying leading players in the AI-enabled sustainability software ecosystem.

Who Should Read This?

• Innovation leaders looking to transform their businesses with AI and ML solutions for sustainable growth.
• Key government decision makers looking to develop AI technology roadmaps for their respective countries to drive sustainable growth.
• Technology vendors looking to understand the market opportunity for AI-enabled sustainability software across SEA countries.

Table of Contents

Key Findings
Key Forecasts
Roadmaps and Long-Term Commitments in Southeast Asia
Key Players in the AI Software Ecosystem
Key Technological Trends
Case Studies:

• AI & ML for Automation Applications
• AI & ML for Carbon Management Software
• AI & ML for Enterprise Resource Planning
• AI & ML for Sustainable Finance

Glossary

Companies Mentioned

Beyond Limits
DataRobot
Jejakin

Evercomm
GreyOrange
Unravel Carbon