東南亞各產業企業的 AI/ML 用例

本報告研究了東南亞各行業公司的 AI/ML 使用案例，並總結了東南亞主要國家的 AI 支出趨勢、各行業的主要 AI 採用案例，以及 AI/機器學習 (ML) 投資及其相對回報的分析。

實用的優點:

• 識別成長機會，並為特定產業的 AI 解決方案製定正確的訊息傳遞和策略
• 向內部和外部利害關係人宣傳人工智慧對軟體採用和數位轉型的影響
• 根據特定產業人工智慧支出的相對成長評估策略

重要問題的答案：

• 未來五年東南亞市場的人工智慧支出和採用將如何改變？
• 各個垂直產業的框架的主要成長機會是什麼？
• 哪些產業將成為人工智慧軟體成長最快、支出最大的產業？

研究亮點：

• 詳細介紹了國家/地區支出數據、行業垂直領域以及關鍵的 AI 應用案例
• 評估人工智慧/機器學習 (ML) 的投資和採用情況及其相對回報
• 東南亞主要國家人工智慧支出趨勢橫向分析

目錄

主要調查結果

主要的預測

東南亞的主要生態系統主要的展開

各國分析

新加坡

印尼

泰國

馬來西亞

越南

菲律賓

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