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市场调查报告书

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1797745

人工智慧感测器市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

AI Sensor Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2025年07月28日 | 出版商:

Global Market Insights Inc. | 英文 190 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2024年，全球人工智慧感测器市场规模达48亿美元，预计2034年将以42.1%的复合年增长率成长，达到1,610亿美元。这一显着成长主要得益于人工智慧与消费性电子产品的快速融合、ADAS技术在汽车自动化领域的应用扩展以及机器人技术的加速应用。环境感知、即时资料解读和情境响应等智慧功能正日益成为智慧型装置的标准配置。随着製造商不断追求更紧凑、更有效率的人工智慧感测器，智慧型手机、穿戴式装置、扩增实境/虚拟实境(AR/VR)平台和连网家电等市场需求强劲成长。各行各业的公司都在投资多感测器模组，旨在同时处理视觉、运动和声学资料，将日常设备转变为智慧感知系统。随着人工智慧成为设备差异化的核心，全球对快速、适应性且节能的感测器技术的需求激增，为各行各业创造了充满活力的市场格局。

随着高级驾驶辅助系统在各个汽车领域中越来越广泛的应用，对整合人工智慧的雷射雷达、雷达、超音波和光学感测器的需求持续成长。汽车公司正在转向经济高效、支援人工智慧的感测器解决方案，以实现更具可扩展性的 ADAS 功能整合。整合人工智慧演算法的紧凑型雷达模组和固态雷射雷达正部署在下一代移动出行解决方案中，取代传统的高成本感测器配置。同时，消费性电子产品製造商正在拥抱多模式人工智慧感测器，这些感测器结合了视觉、语音和运动资料，以提供个人化、丰富的情境互动。

市场范围
起始年份	2024
预测年份	2025-2034
起始值	48亿美元
预测值	1610亿美元
复合年增长率	42.1%

预计到2034年，电脑视觉市场规模将达到857亿美元，反映出其在自动监控、智慧机器人和智慧车辆系统中的广泛应用。嵌入式视觉模组与工业机器人的整合加速了该市场的发展势头，反映出工业自动化需求的日益增长。 3D感测技术的进步和支援人工智慧的边缘处理器价格的下降，使得即时视觉分析成为零售、物流、製造和运输等行业的主流。这些进步使机器能够「感知」周围环境并做出动态反应，从而透过提高精度和自动化效率为营运带来显着价值。

预计到2034年，消费性电子市场规模将达到493亿美元，这得益于行动装置、智慧眼镜、AR/VR平台以及连网家居设备中AI感测器的部署。为了在这一动态市场中竞争，设备製造商正优先开发轻量级、节能且能够与以用户为中心的技术无缝整合的AI感测器。具备多模式处理能力的感测器将透过提供直觉、个人化和可预测的使用者体验来提升设备效用。 AI感测器正成为智慧建筑和家居发展的基石，对能够准确检测占用情况、优化能源使用并轻鬆连接到智慧电网系统的感测器的需求日益增长。

2024年，美国人工智慧感测器市场规模达13亿美元，这得益于自主系统、精准医疗和数位化製造等领域的进步。人工智慧研究资金的增加以及有利的监管支持，正在加速智慧感测器技术的开发和部署。对国内半导体生产和人工智慧基础设施的策略性投资正在加速产品创新管道的建设。随着医疗保健和汽车等产业越来越多地采用人工智慧驱动的感测器应用，企业正在利用国家资助框架和创新集群来增强自身能力，并加快商业化进程。

引领人工智慧感测器市场的顶级公司包括基恩士公司、英飞凌科技、意法半导体、索尼公司和三星。人工智慧感测器市场的主要参与者正专注于创新、整合和可扩展性，以增强其市场占有率。许多公司正在大力投资研发，以开发能够进行多模式资料处理的高效能微型人工智慧感测器。各公司正在与人工智慧平台开发商和半导体製造商建立策略联盟，以加速产品整合并缩短上市时间。重点是建立支援边缘人工智慧的感测器解决方案，实现即时处理并降低延迟。这些公司瞄准汽车、消费性电子和工业自动化等垂直领域，也针对特定用例客製化感测器平台。

产业生态系统分析
- 供应商格局
- 利润率分析
- 成本结构
- 每个阶段的增值
- 影响价值链的因素
- 中断
产业衝击力
- 成长动力
  - 人工智慧消费性电子产品的普及
  - 汽车自动驾驶和 ADAS 技术的扩展
  - 智慧家庭和楼宇自动化的成长
  - 机器人应用激增
  - 人工智慧感测器在医疗保健领域的应用日益广泛
- 产业陷阱与挑战
  - 先进的人工智慧感测器成本高昂
  - 复杂的整合和互通性挑战
- 市场机会
  - 边缘AI和低功耗AI晶片组
  - 智慧城市和基础设施现代化
  - 自动驾驶系统超越汽车领域
成长潜力分析
监管格局
- 北美洲
- 欧洲
- 亚太地区
- 拉丁美洲
- 中东和非洲
波特的分析
PESTEL分析
技术和创新格局
- 当前的技术趋势
- 新兴技术
价格趋势
- 按地区
- 按产品
定价策略
新兴商业模式
合规性要求
专利和智慧财产权分析
地缘政治与贸易动态

第四章：竞争格局

介绍
公司市占率分析
- 按地区
  - 北美洲
  - 欧洲
  - 亚太地区
  - 拉丁美洲
  - 中东和非洲
关键参与者的竞争基准
- 财务绩效比较
  - 收入
  - 利润率
  - 研发
- 产品组合比较
  - 产品范围广度
  - 科技
  - 创新
- 地理位置比较
  - 全球足迹分析
  - 服务网路覆盖
  - 各区域市场渗透率
- 竞争定位矩阵
  - 领导者
  - 挑战者
  - 追踪者
  - 利基市场参与者
- 战略展望矩阵
2021-2024 年关键发展
- 併购
- 伙伴关係和合作
- 技术进步
- 扩张和投资策略
- 永续发展倡议
- 数位转型倡议
新兴/新创企业竞争对手格局

第五章：市场估计与预测：按感测器类型，2021 - 2034 年

主要趋势
压力
温度
光学的
位置
超音波
运动
导航
其他的

第六章：市场估计与预测：依连结性，2021 - 2034 年

主要趋势
有线感应器
无线感测器
- 无线上网
- 蓝牙
- Zigbee
- 其他的

第七章：市场估计与预测：按技术，2021 - 2034 年

主要趋势
自然语言处理（NLP）
机器学习
电脑视觉
情境感知计算

第 8 章：市场估计与预测：按最终用途应用，2021 年至 2034 年

主要趋势
汽车
- ADAS 和自动驾驶
- 驾驶员监控
- 车内感测
- 车辆导航和 V2X
- 其他的
消费性电子产品
- 智慧型手机和平板电脑
- 穿戴式装置和智慧手錶
- AR/VR头戴设备
- 智慧型相机
- 其他的
製造/工业
- 工厂自动化与机器视觉
- 预测性维护系统
- 製程监控和控制感测器
- 工业资产追踪
- 其他的
航太与国防
- 航空电子设备和导航系统
- 目标侦测与追踪
- 结构健康监测
- 无人驾驶飞行器（UAV）
- 其他的
智慧家庭和楼宇自动化
- 智慧恆温器和暖通空调控制
- 语音控制助手
- 能源监控与管理系统
- 其他的
卫生保健
- 病人监护设备
- 医学影像感测器
- 手术辅助系统
- 其他的
其他的

第九章：市场估计与预测：按地区，2021 - 2034 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 德国
- 英国
- 法国
- 义大利
- 西班牙
- 荷兰
亚太地区
- 中国
- 印度
- 日本
- 澳洲
- 韩国
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 南非
- 沙乌地阿拉伯
- 阿联酋

第十章：公司简介

Global Key Players
Regional Key Players
利基市场参与者/颠覆者
- 预言者
- 雷索尼克
- 原相影像公司

简介目录

Product Code: 14484

The Global AI Sensor Market was valued at USD 4.8 billion in 2024 and is estimated to grow at a CAGR of 42.1% to reach USD 161 billion by 2034. This remarkable expansion is largely driven by the rapid integration of AI into consumer electronics, expanding automotive automation through ADAS technologies, and accelerating adoption across robotics. Intelligent features such as environmental awareness, real-time data interpretation, and contextual responsiveness are increasingly becoming standard expectations in smart devices. As manufacturers push to make AI-powered sensors more compact and efficient, the market sees a strong boost from demand in smartphones, wearables, AR/VR platforms, and connected home appliances. Companies across the sector are investing in multi-sensor modules designed to handle vision, motion, and acoustic data simultaneously, transforming everyday devices into intelligent, perceptive systems. As AI becomes central to device differentiation, the need for fast, adaptive, and power-efficient sensor technologies is surging globally, creating a vibrant market landscape across industries.

Demand for AI-integrated LiDAR, radar, ultrasonic, and optical sensors continues to grow as advanced driver-assistance systems become more widely adopted across vehicle segments. Automotive companies are shifting to cost-efficient, AI-enabled sensor solutions that allow for more scalable integration of ADAS features. Compact radar modules and solid-state LiDAR integrated with AI algorithms are now being deployed in next-gen mobility solutions, replacing traditional high-cost sensor setups. Simultaneously, consumer electronics manufacturers are embracing multimodal AI sensors that combine vision, speech, and motion data to deliver personalized, context-rich interactions.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$4.8 Billion
Forecast Value	$161 Billion
CAGR	42.1%

The computer vision segment is projected to reach USD 85.7 billion by 2034, reflecting widespread use in automated surveillance, smart robotics, and intelligent vehicle systems. This segment's momentum is being accelerated by the integration of embedded vision modules in industrial robotics, reflecting increasing industrial automation requirements. Improvements in 3D sensing technologies and falling prices of AI-capable edge processors are enabling real-time visual analytics to become mainstream across sectors such as retail, logistics, manufacturing, and transportation. These advancements allow machines to "see" and react dynamically to their environments, adding significant value to operations through enhanced precision and automation efficiency.

The consumer electronics segment is expected to reach USD 49.3 billion by 2034, driven by AI sensor deployment in mobile devices, smart eyewear, AR/VR platforms, and connected home gadgets. To compete in this dynamic landscape, device makers are prioritizing the development of lightweight, energy-efficient AI sensors that integrate seamlessly with user-centric technologies. Sensors capable of multimodal processing will enhance device utility by enabling intuitive, personalized, and predictive user experiences. AI sensors are becoming a cornerstone in the evolution of intelligent buildings and homes, with demand rising for sensors that accurately detect occupancy, optimize energy use, and easily connect to smart grid systems.

United States AI Sensor Market was valued at USD 1.3 billion in 2024, supported by advances across autonomous systems, precision healthcare, and digital manufacturing. Increased funding for AI research and favorable regulatory support are helping fast-track the development and deployment of smart sensor technologies. Strategic investments in domestic semiconductor production and AI infrastructure are accelerating product innovation pipelines. As industries such as healthcare and automotive increasingly adopt AI-driven sensor applications, companies are leveraging national funding frameworks and innovation clusters to strengthen their capabilities and speed up commercialization efforts.

Top companies leading the AI Sensor Market include Keyence Corporation, Infineon Technologies, STMicroelectronics, Sony Corporation, and Samsung. Key players in the AI sensor market are focusing on innovation, integration, and scalability to enhance their market presence. Many are investing heavily in R&D to develop highly efficient, miniaturized AI sensors capable of multimodal data processing. Companies are strategically forming alliances with AI platform developers and semiconductor fabricators to accelerate product integration and reduce time-to-market. A significant focus is placed on building sensor solutions that support edge AI, enabling real-time processing with reduced latency. Targeting verticals such as automotive, consumer electronics, and industrial automation, these firms also tailoring sensor platforms for specific use cases.

Chapter 1 Methodology

1.1 Market scope and definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Data mining sources
- 1.3.1 Global
- 1.3.2 Regional/Country
1.4 Base estimates and calculations
- 1.4.1 Base year calculation
- 1.4.2 Key trends for market estimation
1.5 Primary research and validation
- 1.5.1 Primary sources
1.6 Forecast model
1.7 Research assumptions and limitations

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2034
2.2 Key market trends
- 2.2.1 Sensor type trends
- 2.2.2 Connectivity trends
- 2.2.3 Technology trends
- 2.2.4 End Use Application trends
- 2.2.5 Regional trends
2.3 TAM Analysis, 2025-2034
2.4 CXO perspectives: Strategic imperatives
- 2.4.1 Executive decision points
- 2.4.2 Critical success factors
2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 Supplier landscape
- 3.1.2 Profit margin analysis
- 3.1.3 Cost structure
- 3.1.4 Value addition at each stage
- 3.1.5 Factor affecting the value chain
- 3.1.6 Disruptions
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Proliferation of AI-powered consumer electronics
  - 3.2.1.2 Expansion of autonomous and ADAS technologies in automotive
  - 3.2.1.3 Growth of smart home & building automation
  - 3.2.1.4 Surge in robotics applications
  - 3.2.1.5 Growing use of AI sensors in healthcare
- 3.2.2 Industry pitfalls and challenges
  - 3.2.2.1 High cost of advanced AI-enabled sensors
  - 3.2.2.2 Complex integration and interoperability challenges
- 3.2.3 Market opportunities
  - 3.2.3.1 Edge AI and low-power AI chipsets
  - 3.2.3.2 Smart cities and infrastructure modernization
  - 3.2.3.3 Expansion of autonomous systems beyond automotive
3.3 Growth potential analysis
3.4 Regulatory landscape
- 3.4.1 North America
- 3.4.2 Europe
- 3.4.3 Asia Pacific
- 3.4.4 Latin America
- 3.4.5 Middle East & Africa
3.5 Porter's analysis
3.6 PESTEL analysis
3.7 Technology and Innovation landscape
- 3.7.1 Current technological trends
- 3.7.2 Emerging technologies
3.8 Price trends
- 3.8.1 By region
- 3.8.2 By product
3.9 Pricing strategies
3.10 Emerging business models
3.11 Compliance requirements
3.12 Patent and IP analysis
3.13 Geopolitical and trade dynamics

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
- 4.2.1 By region
  - 4.2.1.1 North America
  - 4.2.1.2 Europe
  - 4.2.1.3 Asia Pacific
  - 4.2.1.4 Latin America
  - 4.2.1.5 Middle East & Africa
4.3 Competitive benchmarking of key players
- 4.3.1 Financial performance comparison
  - 4.3.1.1 Revenue
  - 4.3.1.2 Profit margin
  - 4.3.1.3 R&D
- 4.3.2 Product portfolio comparison
  - 4.3.2.1 Product range breadth
  - 4.3.2.2 Technology
  - 4.3.2.3 Innovation
- 4.3.3 Geographic presence comparison
  - 4.3.3.1 Global footprint analysis
  - 4.3.3.2 Service network coverage
  - 4.3.3.3 Market penetration by region
- 4.3.4 Competitive positioning matrix
  - 4.3.4.1 Leaders
  - 4.3.4.2 Challengers
  - 4.3.4.3 Followers
  - 4.3.4.4 Niche players
- 4.3.5 Strategic outlook matrix
4.4 Key developments, 2021-2024
- 4.4.1 Mergers and acquisitions
- 4.4.2 Partnerships and collaborations
- 4.4.3 Technological advancements
- 4.4.4 Expansion and investment strategies
- 4.4.5 Sustainability initiatives
- 4.4.6 Digital transformation initiatives
4.5 Emerging/ startup competitors landscape

Chapter 5 Market Estimates and Forecast, By Sensor Type, 2021 - 2034 (USD Million & Units)

5.1 Key trends
5.2 Pressure
5.3 Temperature
5.4 Optical
5.5 Position
5.6 Ultrasonic
5.7 Motion
5.8 Navigation
5.9 Others

Chapter 6 Market Estimates and Forecast, By Connectivity, 2021 - 2034 (USD Million & Units)

6.1 Key trends
6.2 Wired sensors
6.3 Wireless sensors
- 6.3.1 Wi-Fi
- 6.3.2 Bluetooth
- 6.3.3 Zigbee
- 6.3.4 Others

Chapter 7 Market Estimates and Forecast, By Technology, 2021 - 2034 (USD Million & Units)

7.1 Key trends
7.2 Natural language processing (NLP)
7.3 Machine learning
7.4 Computer vision
7.5 Context-aware computing

Chapter 8 Market Estimates and Forecast, By End Use Application, 2021 - 2034 (USD Million & Units)

8.1 Key trends
8.2 Automotive
- 8.2.1 ADAS & autonomous driving
- 8.2.2 Driver monitoring
- 8.2.3 In-cabin sensing
- 8.2.4 Vehicle navigation & V2X
- 8.2.5 Others
8.3 Consumer electronics
- 8.3.1 Smartphones & tablets
- 8.3.2 Wearables & smartwatches
- 8.3.3 AR/VR headsets
- 8.3.4 Smart cameras
- 8.3.5 Others
8.4 Manufacturing / industrial
- 8.4.1 Factory automation & machine vision
- 8.4.2 Predictive maintenance systems
- 8.4.3 Process monitoring & control sensors
- 8.4.4 Industrial asset tracking
- 8.4.5 Others
8.5 Aerospace & defense
- 8.5.1 Avionics and navigation systems
- 8.5.2 Target detection & tracking
- 8.5.3 Structural health monitoring
- 8.5.4 Unmanned aerial vehicles (UAVs)
- 8.5.5 Others
8.6 Smart home & building automation
- 8.6.1 Smart thermostats & HVAC control
- 8.6.2 Voice-controlled assistants
- 8.6.3 Energy monitoring and management systems
- 8.6.4 Others
8.7 Healthcare
- 8.7.1 Patient monitoring devices
- 8.7.2 Medical imaging sensors
- 8.7.3 Surgical assistance systems
- 8.7.4 Others
8.8 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 (USD Million & Units)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Netherlands
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 Australia
- 9.4.5 South Korea
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Argentina
9.6 MEA
- 9.6.1 South Africa
- 9.6.2 Saudi Arabia
- 9.6.3 UAE

Chapter 10 Company Profiles

10.1 Global Key Players
- 10.1.1 Sony Corporation
- 10.1.2 Samsung
- 10.1.3 Texas Instruments
- 10.1.4 STMicroelectronics
- 10.1.5 Analog Devices, Inc.
10.2 Regional Key Players
- 10.2.1 North America
  - 10.2.1.1 Teledyne FLIR LLC
  - 10.2.1.2 Quanergy Solutions, Inc.
- 10.2.2 Europe
  - 10.2.2.1 ams-OSRAM AG
  - 10.2.2.2 Bosch Sensortec GmbH
  - 10.2.2.3 Infineon Technologies AG
  - 10.2.2.4 SICK AG
  - 10.2.2.5 Sensirion AG
- 10.2.3 Asia Pacific
  - 10.2.3.1 Keyence Corporation
  - 10.2.3.2 Murata Manufacturing
  - 10.2.3.3 OMNIVISION
  - 10.2.3.4 Renesas Electronics Corporation
  - 10.2.3.5 Goertek Inc.
10.3 Niche Players / Disruptors
- 10.3.1 Prophesee
- 10.3.2 RESONIKS
- 10.3.3 PixArt Imaging Inc.

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