查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1871907

全球電腦視覺市場：預測至 2032 年—按組件、產品類型、部署方式、功能、應用、最終用戶和地區進行分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球電腦視覺市場價值將達到 241.4 億美元，到 2032 年將達到 960 億美元，在預測期內的複合年成長率為 21.8%。

電腦視覺是人工智慧的一個分支，它使機器能夠解讀和理解來自世界的視覺訊息，例如圖像和影片。它包括獲取、處理、分析和解釋視覺數據的技術，從而實現需要人類視覺才能完成的任務的自動化。其應用領域包括臉部辨識、目標偵測、醫學影像分析、自動駕駛汽車和監控系統，在這些領域，電腦視覺可以幫助機器根據視覺輸入做出決策。

汽車和運輸業的就業機會不斷增加

進階駕駛輔助系統 (ADAS)、自動駕駛汽車和智慧交通管理高度依賴視覺數據解讀進行決策。製造商正在整合人工智慧影像感測器、LiDAR (LiDAR) 和深度學習模型，以實現物體識別、行人偵測和車道監控。向電動化和聯網汽車汽車的轉型進一步推動了基於視覺的組件在即時分析中的應用。各國政府和汽車製造商 (OEM) 正在投資智慧型運輸系統(ITS)，以提高道路效率並減少交通事故。隨著車輛自動化程度的提高，預計全球市場對基於電腦視覺的系統的需求將顯著成長。

數據依賴性和標註成本

對於醫學影像和自主導航等複雜的視覺資料集，手動資料標註和預處理仍然非常耗費人力。對多樣化、高品質資料集的嚴重依賴限制了模型的可擴展性，並阻礙了模型的快速部署。中小企業往往難以承擔資料標註工具和基礎設施的高成本。儘管合成資料產生和自動標註工具正在湧現，但要獲得準確、無偏的資料集仍然十分困難。這種數據依賴性持續減緩市場成長，並限制了基於人工智慧的視覺應用的廣泛普及。

日益關注空間智慧與具身智慧

這些技術使機器能夠解讀空間關係並與環境進行智慧交互，從而推動機器人、擴增實境/虛擬實境和工業自動化領域的進步。 3D視覺系統與邊緣人工智慧的融合增強了即時感知和情境察覺。新興應用包括製造業中的協作機器人、智慧醫療診斷和身臨其境型零售體驗。各公司正投資於融合視覺、運動和語音理解的多模態人工智慧模型，以提高互動精度。空間運算與具身人工智慧的融合為電腦視覺市場的未來擴張提供了巨大機會。

網路安全漏洞

視覺資料管道和人工智慧模型容易受到對抗性攻擊、欺騙和未經授權的資料篡改。互聯視覺系統的安全漏洞會危及安全關鍵型操作，尤其是在自動駕駛和國防領域。雲端基礎影像儲存和邊緣設備的日益普及擴大了潛在的攻擊面。企業正在採用安全的人工智慧框架、聯邦學習和加密技術來保護敏感的視覺資訊。然而，不斷演變的網路威脅仍然是一項重大挑戰，需要持續投資於強大的安全架構和合規性。

新冠疫情的感染疾病：

疫情加速了電腦視覺技術在醫療保健、零售和製造業等各行各業的應用。基於視覺的系統，例如非接觸式體溫篩檢、口罩佩戴檢測和人員佔用監控等，已被廣泛部署。供應鏈中斷曾一度影響硬體組件（尤其是影像感測器和處理器）的供應。然而，遠端監控和自動化工作蓬勃發展，推動了對人工智慧驅動的視覺分析的需求。後疫情時代的策略重點在於增強系統韌性、自動化和分散式人工智慧的應用，以減輕未來可能出現的干擾。

預計在預測期內，硬體細分市場將佔據最大的市場佔有率。

由於對先進感測器、攝影機和處理器的需求不斷成長，預計硬體領域在預測期內將佔據最大的市場佔有率。 GPU、FPGA 和 AI 晶片在視覺系統中的整合度不斷提高，增強了即時影像分析和邊緣處理能力。汽車和工業應用領域正在大規模採用嵌入式視覺硬體，用於自動化和安全監控。機器人和 AR 設備中 3D 攝影機和深度感測器的日益普及也進一步推動了該領域的成長。關鍵發展趨勢包括小型化影像感測器和針對 AI 工作負載最佳化的低功耗視覺處理器。

預計在預測期內，醫療保健產業將實現最高的複合年成長率。

在預測期內，醫療保健產業預計將保持最高的成長率，這主要得益於醫學影像、診斷技術和病患監測的快速發展。電腦視覺演算法被廣泛應用於疾病早期檢測、手術輔助和放射科自動化。人工智慧驅動的成像平台在檢測X光片、核磁共振成像（MRI）和電腦電腦斷層掃描中的異常方面具有更高的準確性。Start-Ups和成熟企業正在開發利用深度學習和電腦視覺技術的即時診斷工具，以提高臨床效率。與機器人技術和遠端醫療的融合進一步提高了手術精確度和遠距會診的效率。

佔比最大的地區：

由於工業自動化和都市化的快速發展，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、日本、韓國和印度等國家正大力投資人工智慧基礎設施和智慧製造技術。該地區蓬勃發展的汽車和電子產業引領著電腦視覺技術在品質檢測和自動駕駛系統中的應用。政府支持人工智慧驅動創新和智慧城市建設的舉措進一步鞏固了市場滲透率。主要企業正在建立區域夥伴關係關係，以促進生產和軟體開發的在地化。

預計年複合成長率最高的地區：

在預測期內，北美預計將實現最高的複合年成長率，這主要得益於早期技術應用和強勁的研發投入。美國在深度學習框架、基於視覺的分析和邊緣運算領域主導。眾多科技巨頭和人工智慧Start-Ups的強大實力正在推動汽車、醫療保健和零售等行業的創新。聯邦政府的資助以及與學術機構的合作正在加速人工智慧可解釋性和電腦視覺倫理方面的突破。企業正在部署具備視覺功能的自動化系統，用於預測性維護、安全性和客戶分析。

免費客製化服務

訂閱本報告的用戶可從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他公司進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
  • 競爭基準化分析
    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
  • 分析材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 產品分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球電腦視覺市場（按組件分類）

  • 硬體
    • 相機
    • 處理器
    • 影像感測器
    • 影像擷取卡
    • 光學設備/照明設備
  • 軟體
    • 本地部署
    • 雲端基礎的
  • 服務
    • 整合和部署
    • 諮詢
    • 支援和維護

第6章 全球電腦視覺市場（依產品類型分類）

  • 基於智慧攝影機的電腦視覺系統
  • 基於PC的電腦視覺系統
  • 其他產品類型

第7章 全球電腦視覺市場依部署方式分類

  • 雲端基礎的
  • 本地部署
  • 基於邊緣

8. 全球電腦視覺市場依功能分類

  • 品質保證與檢驗
  • 位置調整/引導
  • 測量
  • 鑑別
  • 預測性維護

第9章 全球電腦視覺市場（依應用領域分類）

  • 影像識別
  • 臉部辨識
  • 目標偵測
  • 運動分析
  • 手勢姿態辨識
  • 3D建模
  • 自主導航
  • 視訊監控與安防
  • 其他用途

第10章 全球電腦視覺市場（依最終使用者分類）

  • 車
  • 醫療保健
  • 家用電子電器
  • 製造業
  • 零售與電子商務
  • 農業
  • 運輸/物流
  • 航太/國防
  • 銀行、金融服務和保險（BFSI）
  • 娛樂與媒體
  • 其他最終用戶

第11章 全球電腦視覺市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第13章：公司簡介

  • 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.