查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1871907

全球电脑视觉市场：预测至 2032 年—按组件、产品类型、部署方式、功能、应用、最终用户和地区进行分析

Computer Vision Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, and Services), Product Type, Deployment Type, Function, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球电脑视觉市场价值将达到 241.4 亿美元，到 2032 年将达到 960 亿美元，在预测期内的复合年增长率为 21.8%。

电脑视觉是人工智慧的一个分支，它使机器能够解读和理解来自世界的视觉讯息，例如图像和影片。它包括获取、处理、分析和解释视觉数据的技术，从而实现需要人类视觉才能完成的任务的自动化。其应用领域包括脸部辨识、目标侦测、医学影像分析、自动驾驶汽车和监控系统，在这些领域，电脑视觉可以帮助机器根据视觉输入做出决策。

汽车和运输业的就业机会不断增加

进阶驾驶辅助系统 (ADAS)、自动驾驶汽车和智慧交通管理高度依赖视觉数据解读进行决策。製造商正在整合人工智慧影像感测器、光达 (LiDAR) 和深度学习模型，以实现物体识别、行人侦测和车道监控。向电动化和联网汽车汽车的转型进一步推动了基于视觉的组件在即时分析中的应用。各国政府和汽车製造商 (OEM) 正在投资智慧型运输系统(ITS)，以提高道路效率并减少交通事故。随着车辆自动化程度的提高，预计全球市场对基于电脑视觉的系统的需求将显着增长。

数据依赖性和标註成本

对于医学影像和自主导航等复杂的视觉资料集，手动资料标註和预处理仍然非常耗费人力。对多样化、高品质资料集的严重依赖限制了模型的可扩展性，并阻碍了模型的快速部署。中小企业往往难以承担资料标註工具和基础设施的高成本。儘管合成资料产生和自动标註工具正在涌现，但要获得准确、无偏的资料集仍然十分困难。这种数据依赖性持续减缓市场成长，并限制了基于人工智慧的视觉应用的广泛普及。

日益关注空间智能与具身智能

这些技术使机器能够解读空间关係并与环境进行智慧交互，从而推动机器人、扩增实境/虚拟实境和工业自动化领域的进步。 3D视觉系统与边缘人工智慧的融合增强了即时感知和情境察觉。新兴应用包括製造业中的协作机器人、智慧医疗诊断和身临其境型零售体验。各公司正投资于融合视觉、运动和语音理解的多模态人工智慧模型，以提高互动精度。空间运算与具身人工智慧的融合为电脑视觉市场的未来扩张提供了巨大机会。

网路安全漏洞

视觉资料管道和人工智慧模型容易受到对抗性攻击、欺骗和未经授权的资料篡改。互联视觉系统的安全漏洞会危及安全关键型操作，尤其是在自动驾驶和国防领域。云端基础影像储存和边缘设备的日益普及扩大了潜在的攻击面。企业正在采用安全的人工智慧框架、联邦学习和加密技术来保护敏感的视觉资讯。然而，不断演变的网路威胁仍然是一项重大挑战，需要持续投资于强大的安全架构和合规性。

新冠疫情的感染疾病：

疫情加速了电脑视觉技术在医疗保健、零售和製造业等各行各业的应用。基于视觉的系统，例如非接触式体温筛检、口罩佩戴检测和人员占用监控等，已被广泛部署。供应链中断曾一度影响硬体组件（尤其是影像感测器和处理器）的供应。然而，远端监控和自动化工作蓬勃发展，推动了对人工智慧驱动的视觉分析的需求。后疫情时代的策略重点在于增强系统韧性、自动化和分散式人工智慧的应用，以减轻未来可能出现的干扰。

预计在预测期内，硬体细分市场将占据最大的市场份额。

由于对先进感测器、摄影机和处理器的需求不断增长，预计硬体领域在预测期内将占据最大的市场份额。 GPU、FPGA 和 AI 晶片在视觉系统中的整合度不断提高，增强了即时影像分析和边缘处理能力。汽车和工业应用领域正在大规模采用嵌入式视觉硬件，用于自动化和安全监控。机器人和 AR 设备中 3D 摄影机和深度感测器的日益普及也进一步推动了该领域的成长。关键发展趋势包括小型化影像感测器和针对 AI 工作负载优化的低功耗视觉处理器。

预计在预测期内，医疗保健产业将实现最高的复合年增长率。

在预测期内，医疗保健产业预计将保持最高的成长率，这主要得益于医学影像、诊断技术和病患监测的快速发展。电脑视觉演算法被广泛应用于疾病早期检测、手术辅助和放射科自动化。人工智慧驱动的成像平台在检测X光片、核磁共振成像（MRI）和电脑电脑断层扫描中的异常方面具有更高的准确性。Start-Ups和成熟企业正在开发利用深度学习和电脑视觉技术的即时诊断工具，以提高临床效率。与机器人技术和远端医疗的融合进一步提高了手术精确度和远距会诊的效率。

占比最大的地区：

由于工业自动化和都市化的快速发展，亚太地区预计将在预测期内占据最大的市场份额。中国、日本、韩国和印度等国家正大力投资人工智慧基础设施和智慧製造技术。该地区蓬勃发展的汽车和电子产业引领着电脑视觉技术在品质检测和自动驾驶系统中的应用。政府支持人工智慧驱动创新和智慧城市建设的倡议进一步巩固了市场渗透率。主要企业正在建立区域伙伴关係关係，以促进生产和软体开发的在地化。

预计年复合成长率最高的地区：

在预测期内，北美预计将实现最高的复合年增长率，这主要得益于早期技术应用和强劲的研发投入。美国在深度学习框架、基于视觉的分析和边缘运算领域主导。众多科技巨头和人工智慧Start-Ups的强大实力正在推动汽车、医疗保健和零售等行业的创新。联邦政府的资助以及与学术机构的合作正在加速人工智慧可解释性和电脑视觉伦理方面的突破。企业正在部署具备视觉功能的自动化系统，用于预测性维护、安全性和客户分析。

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
  • 分析材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球电脑视觉市场（按组件划分）

  • 硬体
    • 相机
    • 处理器
    • 影像感测器
    • 影像撷取卡
    • 光学设备/照明设备
  • 软体
    • 本地部署
    • 云端基础的
  • 服务
    • 整合和部署
    • 咨询
    • 支援和维护

第六章 全球电脑视觉市场（依产品类型划分）

  • 基于智慧摄影机的电脑视觉系统
  • 基于PC的电脑视觉系统
  • 其他产品类型

第七章 全球电脑视觉市场依部署方式划分

  • 云端基础的
  • 本地部署
  • 基于边缘

8. 全球电脑视觉市场依功能划分

  • 品质保证与检验
  • 位置调整/引导
  • 测量
  • 鑑别
  • 预测性维护

第九章 全球电脑视觉市场（依应用领域划分）

  • 影像识别
  • 脸部辨识
  • 目标侦测
  • 运动分析
  • 手势姿态辨识
  • 三维建模
  • 自主导航
  • 视讯监控与安防
  • 其他用途

第十章 全球电脑视觉市场（依最终使用者划分）

  • 车
  • 医疗保健
  • 家用电子电器
  • 製造业
  • 零售与电子商务
  • 农业
  • 运输/物流
  • 航太/国防
  • 银行、金融服务和保险（BFSI）
  • 娱乐与媒体
  • 其他最终用户

第十一章 全球电脑视觉市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章：公司简介

  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Amazon Web Services（AWS）
  • Qualcomm Technologies, Inc.
  • Sony Group Corporation
  • Samsung Electronics Co., Ltd.
  • Cognex Corporation
  • KEYENCE Corporation
  • Teledyne Technologies Incorporated
  • Basler AG
  • OMRON Corporation
  • Texas Instruments Incorporated
  • SenseTime Group Inc.
Product Code: SMRC32277

According to Stratistics MRC, the Global Computer Vision Market is accounted for $24.14 billion in 2025 and is expected to reach $96.00 billion by 2032 growing at a CAGR of 21.8% during the forecast period. Computer Vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world, such as images and videos. It involves techniques for acquiring, processing, analyzing, and interpreting visual data to automate tasks that require human vision. Applications include facial recognition, object detection, medical image analysis, autonomous vehicles, and surveillance systems, helping machines make decisions based on visual input.

Market Dynamics:

Driver:

Increasing adoption in automotive and transportation

Advanced Driver Assistance Systems (ADAS), autonomous vehicles, and smart traffic management rely heavily on visual data interpretation for decision-making. Manufacturers are embedding AI-driven image sensors, LiDAR, and deep learning models to enable object recognition, pedestrian detection, and lane monitoring. The shift toward electric and connected vehicles is further boosting the adoption of vision-based components for real-time analytics. Governments and OEMs are investing in intelligent transport systems to enhance road efficiency and reduce accidents. As vehicles become increasingly autonomous, the demand for computer vision-powered systems is expected to accelerate significantly across global markets.

Restraint:

Data dependency and annotation costs

Manual data annotation and preprocessing remain labor-intensive, particularly for complex visual datasets such as medical imaging and autonomous navigation. High dependency on diverse, high-quality datasets limits scalability and hinders rapid model deployment. Small and mid-sized enterprises often struggle with the high costs of data labeling tools and infrastructure. Although synthetic data generation and automated annotation tools are emerging, achieving accuracy and bias-free datasets remains difficult. This data dependency continues to slow market growth and limits widespread adoption of AI-based vision applications.

Opportunity:

Increased focus on spatial and embodied intelligence

The technologies enable machines to interpret spatial relationships and interact intelligently with their environment, driving advancements in robotics, AR/VR, and industrial automation. Integration of 3D vision systems and edge AI is enhancing real-time perception and contextual awareness. Emerging applications include collaborative robots in manufacturing, intelligent healthcare diagnostics, and immersive retail experiences. Companies are investing in multimodal AI models that combine vision, motion, and speech understanding to improve interaction accuracy. This convergence of spatial computing and embodied AI represents a key opportunity for future expansion of the computer vision market.

Threat:

Cybersecurity vulnerabilities

Visual data pipelines and AI models are vulnerable to adversarial attacks, spoofing, and unauthorized data manipulation. Breaches in connected vision systems can compromise safety-critical operations, especially in autonomous driving and defense. The increasing use of cloud-based image storage and edge devices expands potential attack surfaces. Companies are adopting secure AI frameworks, federated learning, and encryption technologies to safeguard sensitive visual information. However, evolving cyber threats continue to pose a major challenge, necessitating ongoing investment in robust security architectures and regulatory compliance.

Covid-19 Impact:

The pandemic accelerated the adoption of computer vision technologies across various industries, particularly in healthcare, retail, and manufacturing. Vision-based systems were widely deployed for contactless temperature screening, mask detection, and occupancy monitoring. Supply chain disruptions temporarily affected hardware component availability, especially image sensors and processors. However, remote monitoring and automation initiatives gained momentum, fueling demand for AI-enabled visual analytics. Post-pandemic strategies are focusing on enhancing system resilience, automation, and distributed AI deployment to mitigate future disruptions.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period, due to rising demand for advanced sensors, cameras, and processors. Increasing integration of GPUs, FPGAs, and AI chips in vision systems enhances real-time image analysis and edge processing capabilities. Automotive and industrial applications are driving large-scale adoption of embedded vision hardware for automation and safety monitoring. The rise of 3D cameras and depth sensors in robotics and AR devices further supports segment growth. Key developments include miniaturized image sensors and low-power vision processors optimized for AI workloads.

The healthcare segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate, propelled by rapid advances in medical imaging, diagnostics, and patient monitoring. Computer vision algorithms are being widely utilized for early disease detection, surgical assistance, and radiology automation. AI-enabled imaging platforms now offer superior accuracy in detecting anomalies across X-rays, MRIs, and CT scans. Startups and major players are developing real-time diagnostic tools powered by deep learning and computer vision to improve clinical efficiency. Integration with robotics and telemedicine is further enhancing surgical precision and remote consultations.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to rapid industrial automation and urbanization. Countries like China, Japan, South Korea, and India are heavily investing in AI infrastructure and smart manufacturing technologies. The region's thriving automotive and electronics industries are leading adopters of computer vision for quality inspection and autonomous systems. Government initiatives supporting AI-driven innovation and smart city development are further strengthening market adoption. Key companies are forming regional partnerships to enhance localization of production and software development.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by early technology adoption and robust R&D investment. The U.S. is leading advancements in deep learning frameworks, vision-based analytics, and edge computing. Strong presence of tech giants and AI startups is fueling innovation across automotive, healthcare, and retail sectors. Federal funding and academic collaborations are accelerating breakthroughs in AI interpretability and computer vision ethics. Enterprises are deploying vision-enabled automation systems for predictive maintenance, security, and customer analytics.

Key players in the market

Some of the key players in Computer Vision Market include NVIDIA Corp, Intel Corp, Microsoft, Alphabet Inc, Amazon W, Qualcomm, Sony Group, Samsung, Cognex Co, KEYENCE C, Teledyne T, Basler AG, OMRON Co, Texas Inst, and SenseTime.

Key Developments:

In November 2025, Deutsche Telekom and NVIDIA unveiled the world's first Industrial AI Cloud, a sovereign, enterprise-grade platform set to go live in early 2026. The partnership brings together Deutsche Telekom's trusted infrastructure and operations and NVIDIA AI and Omniverse digital twin platforms to power the AI era of Germany's industrial transformation.

In November 2025, Cisco, in collaboration with Intel, has announced a first-of-its-kind integrated platform for distributed AI workloads. Powered by Intel(R) Xeon(R) 6 system-on-chip (SoC), the solution brings compute, networking, storage and security closer to data generated at the edge for real-time AI inferencing and agentic workloads.

Components Covered:

  • Hardware
  • Software
  • Services

Product Types Covered:

  • Smart Cameras-Based Computer Vision Systems
  • PC-Based Computer Vision Systems
  • Other Product Types

Deployment Types Covered:

  • Cloud-Based
  • On-Premises
  • Edge-Based

Functions Covered:

  • Quality Assurance and Inspection
  • Positioning and Guidance
  • Measurement
  • Identification
  • Predictive Maintenance

Applications Covered:

  • Image Recognition
  • Facial Recognition
  • Object Detection
  • Motion Analysis
  • Gesture Recognition
  • 3D Modeling
  • Autonomous Navigation
  • Video Surveillance and Security
  • Other Applications

End Users Covered:

  • Automotive
  • Healthcare
  • Consumer Electronics
  • Manufacturing
  • Retail & E-Commerce
  • Agriculture
  • Transportation & Logistics
  • Aerospace & Defense
  • Banking, Financial Services, and Insurance (BFSI)
  • Entertainment & Media
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Computer Vision Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Cameras
    • 5.2.2 Processors
    • 5.2.3 Image Sensors
    • 5.2.4 Frame Grabbers
    • 5.2.5 Optics and Lighting
  • 5.3 Software
    • 5.3.1 On-Premises
    • 5.3.2 Cloud-Based
  • 5.4 Services
    • 5.4.1 Integration & Deployment
    • 5.4.2 Consulting
    • 5.4.3 Support & Maintenance

6 Global Computer Vision Market, By Product Type

  • 6.1 Introduction
  • 6.2 Smart Cameras-Based Computer Vision Systems
  • 6.3 PC-Based Computer Vision Systems
  • 6.4 Other Product Types

7 Global Computer Vision Market, By Deployment Type

  • 7.1 Introduction
  • 7.2 Cloud-Based
  • 7.3 On-Premises
  • 7.4 Edge-Based

8 Global Computer Vision Market, By Function

  • 8.1 Introduction
  • 8.2 Quality Assurance and Inspection
  • 8.3 Positioning and Guidance
  • 8.4 Measurement
  • 8.5 Identification
  • 8.6 Predictive Maintenance

9 Global Computer Vision Market, By Application

  • 9.1 Introduction
  • 9.2 Image Recognition
  • 9.3 Facial Recognition
  • 9.4 Object Detection
  • 9.5 Motion Analysis
  • 9.6 Gesture Recognition
  • 9.7 3D Modeling
  • 9.8 Autonomous Navigation
  • 9.9 Video Surveillance and Security
  • 9.10 Other Applications

10 Global Computer Vision Market, By End User

  • 10.1 Introduction
  • 10.2 Automotive
  • 10.3 Healthcare
  • 10.4 Consumer Electronics
  • 10.5 Manufacturing
  • 10.6 Retail & E-Commerce
  • 10.7 Agriculture
  • 10.8 Transportation & Logistics
  • 10.9 Aerospace & Defense
  • 10.10 Banking, Financial Services, and Insurance (BFSI)
  • 10.11 Entertainment & Media
  • 10.12 Other End Users

11 Global Computer Vision Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 NVIDIA Corporation
  • 13.2 Intel Corporation
  • 13.3 Microsoft Corporation
  • 13.4 Alphabet Inc.
  • 13.5 Amazon Web Services (AWS)
  • 13.6 Qualcomm Technologies, Inc.
  • 13.7 Sony Group Corporation
  • 13.8 Samsung Electronics Co., Ltd.
  • 13.9 Cognex Corporation
  • 13.10 KEYENCE Corporation
  • 13.11 Teledyne Technologies Incorporated
  • 13.12 Basler AG
  • 13.13 OMRON Corporation
  • 13.14 Texas Instruments Incorporated
  • 13.15 SenseTime Group Inc.

List of Tables

  • Table 1 Global Computer Vision Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Computer Vision Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Computer Vision Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Computer Vision Market Outlook, By Cameras (2024-2032) ($MN)
  • Table 5 Global Computer Vision Market Outlook, By Processors (2024-2032) ($MN)
  • Table 6 Global Computer Vision Market Outlook, By Image Sensors (2024-2032) ($MN)
  • Table 7 Global Computer Vision Market Outlook, By Frame Grabbers (2024-2032) ($MN)
  • Table 8 Global Computer Vision Market Outlook, By Optics and Lighting (2024-2032) ($MN)
  • Table 9 Global Computer Vision Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global Computer Vision Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 11 Global Computer Vision Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 12 Global Computer Vision Market Outlook, By Services (2024-2032) ($MN)
  • Table 13 Global Computer Vision Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 14 Global Computer Vision Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 15 Global Computer Vision Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 16 Global Computer Vision Market Outlook, By Product Type (2024-2032) ($MN)
  • Table 17 Global Computer Vision Market Outlook, By Smart Cameras-Based Computer Vision Systems (2024-2032) ($MN)
  • Table 18 Global Computer Vision Market Outlook, By PC-Based Computer Vision Systems (2024-2032) ($MN)
  • Table 19 Global Computer Vision Market Outlook, By Other Product Types (2024-2032) ($MN)
  • Table 20 Global Computer Vision Market Outlook, By Deployment Type (2024-2032) ($MN)
  • Table 21 Global Computer Vision Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 22 Global Computer Vision Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 23 Global Computer Vision Market Outlook, By Edge-Based (2024-2032) ($MN)
  • Table 24 Global Computer Vision Market Outlook, By Function (2024-2032) ($MN)
  • Table 25 Global Computer Vision Market Outlook, By Quality Assurance and Inspection (2024-2032) ($MN)
  • Table 26 Global Computer Vision Market Outlook, By Positioning and Guidance (2024-2032) ($MN)
  • Table 27 Global Computer Vision Market Outlook, By Measurement (2024-2032) ($MN)
  • Table 28 Global Computer Vision Market Outlook, By Identification (2024-2032) ($MN)
  • Table 29 Global Computer Vision Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 30 Global Computer Vision Market Outlook, By Application (2024-2032) ($MN)
  • Table 31 Global Computer Vision Market Outlook, By Image Recognition (2024-2032) ($MN)
  • Table 32 Global Computer Vision Market Outlook, By Facial Recognition (2024-2032) ($MN)
  • Table 33 Global Computer Vision Market Outlook, By Object Detection (2024-2032) ($MN)
  • Table 34 Global Computer Vision Market Outlook, By Motion Analysis (2024-2032) ($MN)
  • Table 35 Global Computer Vision Market Outlook, By Gesture Recognition (2024-2032) ($MN)
  • Table 36 Global Computer Vision Market Outlook, By 3D Modeling (2024-2032) ($MN)
  • Table 37 Global Computer Vision Market Outlook, By Autonomous Navigation (2024-2032) ($MN)
  • Table 38 Global Computer Vision Market Outlook, By Video Surveillance and Security (2024-2032) ($MN)
  • Table 39 Global Computer Vision Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 40 Global Computer Vision Market Outlook, By End User (2024-2032) ($MN)
  • Table 41 Global Computer Vision Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 42 Global Computer Vision Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 43 Global Computer Vision Market Outlook, By Consumer Electronics (2024-2032) ($MN)
  • Table 44 Global Computer Vision Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 45 Global Computer Vision Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 46 Global Computer Vision Market Outlook, By Agriculture (2024-2032) ($MN)
  • Table 47 Global Computer Vision Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 48 Global Computer Vision Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 49 Global Computer Vision Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 50 Global Computer Vision Market Outlook, By Entertainment & Media (2024-2032) ($MN)
  • Table 51 Global Computer Vision Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.