人工智慧軟體市場資料概覽（2024年第3 季）

本報告調查了人工智慧軟體市場，提供整個人工智慧軟體市場的收入預測，依地區、原始碼、部署位置、工作負載類型等詳細分析，成長機會分析。

實際好處：

• 了解人工智慧軟體市場的規模
• 制定人工智慧軟體投資策略並使其與長期市場動態保持一致
• 發現建構和投資人工智慧軟體功能的新機會
• 了解 AI 軟體的長期趨勢，包括裝置上的 AI、開源與閉源以及區域成長。

重要問題的答案：

• 哪些軟體工具在未來六年內提供最大的市場機會？
• 未來雲端、邊緣和設備的採用率將如何成長？
• 哪一個將主導收入機會：開源還是閉源？

研究亮點：

• 將人工智慧軟體收入機會詳細分類為 14 個軟體類別
• 人工智慧軟體收入：依地區、原始碼、部署位置和工作負載類型細分

目錄

主要發現

新資訊

調查方法

市場預測

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