AI感测软体

本报告提供AI感测软体的市场调查，彙整AI软体整体及AI感测软体的收益的预测，地区·源码·引进场所·工作负载各类型的详细分析，成长机会分析等资讯。

实用的优点:

• 了解人工智慧感测软体市场的规模（包括机器视觉和音讯/声学处理）
• 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。
• 建构人工智慧软体能力并发现新的投资机会
• 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细粒度分类为 14 个软体细分市场
• 人工智慧软体收入：按地区、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) sensing software market (including machine vision and audio/sound processing).
• 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 versus closed source, and 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 closed-source dominate the 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 Research and Development (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