人工智慧软体市场资料概览（2024年第3 季）

本报告调查了人工智慧软体市场，提供整个人工智慧软体市场的收入预测，依地区、原始码、部署位置、工作负载类型等详细分析，成长机会分析。

实际好处：

• 了解人工智慧软体市场的规模
• 制定人工智慧软体投资策略并使其与长期市场动态保持一致
• 发现建构和投资人工智慧软体功能的新机会
• 了解 AI 软体的长期趋势，包括装置上的 AI、开源与闭源以及区域成长。

重要问题的答案：

• 哪些软体工具在未来六年内提供最大的市场机会？
• 未来云端、边缘和设备的采用率将如何成长？
• 哪一个将主导收入机会：开源还是闭源？

研究亮点：

• 将人工智慧软体收入机会详细分类为 14 个软体类别
• 人工智慧软体收入：依地区、原始码、部署位置和工作负载类型细分

目录

主要发现

新资讯

调查方法

市场预测

Actionable Benefits:

• Understand the size of the Artificial Intelligence (AI) software market.
• Build and align AI software investment strategy with long-term market dynamics.
• Identify new opportunities to build and invest in AI software capabilities.
• Gain visibility over long-term trends in AI software, including on-device AI, open vs closed source, regional growth.

Critical Questions Answered:

• Which software tools offer the largest market opportunity over the next 6 years?
• How will cloud, edge, and device deployments grow moving forward?
• Will open or close source dominate revenue opportunity?

Research Highlights:

• Granular breakdown of AI software revenue opportunity by 14 different software segments.
• Breakdown of AI software revenue by region, source code, deployment location, and workload type.

Who Should Read This?

• AI software vendors investing in R&D or commercial strategies.
• Cloud providers continuing to develop their AI platforms.
• Chip vendors developing AI software platforms and partnerships.
• Enterprise leader assessing the direction of the AI software market.

TABLE OF CONTENTS

Key Findings

Whats New

Methodology

Market Forecasts