东南亚各产业企业的 AI/ML 用例

本报告研究了东南亚各行业公司的 AI/ML 使用案例，并总结了东南亚主要国家的 AI 支出趋势、各行业的主要 AI 采用案例，以及 AI/机器学习 (ML) 投资及其相对回报的分析。

实用的优点:

• 识别成长机会，并为特定产业的 AI 解决方案製定正确的讯息传递和策略
• 向内部和外部利害关係人宣传人工智慧对软体采用和数位转型的影响
• 根据特定产业人工智慧支出的相对成长评估策略

重要问题的答案：

• 未来五年东南亚市场的人工智慧支出和采用将如何改变？
• 各个垂直产业的框架的主要成长机会是什么？
• 哪些产业将成为人工智慧软体成长最快、支出最大的产业？

研究亮点：

• 详细介绍了国家/地区支出数据、行业垂直领域以及关键的 AI 应用案例
• 评估人工智慧/机器学习 (ML) 的投资和采用情况及其相对回报
• 东南亚主要国家人工智慧支出趋势横向分析

目录

主要调查结果

主要的预测

东南亚的主要生态系统主要的展开

各国分析

新加坡

印尼

泰国

马来西亚

越南

菲律宾

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 strategy based on the relative growth of AI spending in specific verticals

Critical Questions Answered:

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

Research Highlights:

• Detailed coverage of country spending data, verticals, and key AI implementations.
• Evaluating AI/Machine Learning (ML) investments and deployments and their relative returns.
• Lateral analysis of AI spending trends across major Southeast Asian countries.

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.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Ecosystems Key Developments Across SEA

Country Analyses

Singapore

Indonesia

Thailand

Malaysia

Vietnam

The Philippines