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市場調查報告書
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2021582

人工智慧市場預測（電腦視覺方向）至2034年：全球組件、機器學習模型、功能、技術、應用、最終用戶和區域分析

AI in Computer Vision Market Forecasts to 2034- Global Analysis By Component (Hardware and Software), Machine Learning Model, Function, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球電腦視覺人工智慧市場規模將達到 272.1 億美元，在預測期內以 19.1% 的複合年成長率成長，到 2034 年將達到 1,101.7 億美元。

電腦視覺領域的人工智慧是指將先進演算法（尤其是深度學習和機器學習模型）整合到系統中的技術，使機器能夠解釋和分析圖像、影片等視覺數據，並從中提取有意義的資訊。這使得電腦能夠高精度地執行目標偵測、影像分類、臉部辨識和場景理解等任務。透過模擬人類的視覺感知，人工智慧驅動的電腦視覺能夠提升醫療保健、汽車、製造、零售和安防等行業的自動化水平、決策能力和營運效率。

人工智慧和深度學習的快速發展

人工智慧 (AI) 和深度學習的快速發展正顯著加速電腦視覺市場中 AI 的應用成長。神經網路、卷積模型和學習技術的不斷改進提高了影像和影片分析的準確性。大規模資料集和高效能運算基礎設施的日益普及進一步增強了模型的效能。這些技術進步實現了即時處理、更高的自動化水平以及跨行業的可擴展部署，從而推動了其在監控、診斷和自主系統等應用中的廣泛應用。

高昂的實施和基礎設施成本

高昂的部署和基礎設施成本仍然是限制市場發展的主要因素。部署先進的視覺系統需要對GPU、邊緣設備和高解析度感測器等硬體進行大量投資，同時還需要專業的軟體和技術人員。此外，資料收集、標註和模型訓練的相關成本進一步加重了財務負擔。中小企業往往難以證明這些投資的合理性，從而限制了技術的普及。

智慧型設備和邊緣運算的擴展

智慧型設備和邊緣運算的快速發展為電腦視覺領域的人工智慧市場帶來了巨大的成長機會。隨著物聯網設備、智慧型手機和穿戴式科技的日益普及，對邊緣即時視覺處理的需求也與日俱增。邊緣運算能夠降低延遲、增強資料隱私，並支援快速決策，而無需過度依賴雲端基礎架構。這種轉變正在推動智慧家庭、工業自動化和自主系統等領域的新應用，並為可擴展、高效的人工智慧視覺解決方案鋪平道路。

資料隱私和倫理問題

資料隱私和倫理問題對市場成長構成重大威脅。臉部辨識、監控系統和生物識別資料的使用引發了關於使用者同意、資料濫用和安全漏洞的嚴重問題。區域法規結構日趨嚴格，可能限制其在高度敏感應用領域的部署。公眾對人工智慧模式中偏見、透明度和課責的質疑和倫理辯論，使得部署更具挑戰性，迫使企業投資於負責任的人工智慧實踐和強力的合規措施。

新冠疫情的影響：

新冠疫情對電腦視覺領域的人工智慧市場產生了複雜的影響。雖然疫情初期對供應鏈和專案部署造成了衝擊，但危機也加速了非接觸式技術和自動化的普及。電腦視覺解決方案的應用範圍日益廣泛，例如熱成像篩檢、口罩檢測、人群監控和遠端醫療診斷等。各組織機構更依賴人工智慧驅動的視覺系統來保障安全和業務連續性，這反過來又推動了市場成長，並凸顯了智慧自動化在危機管理中的重要性。

在預測期內，醫療保健產業預計將佔據最大的市場佔有率。

在預測期內，醫療保健領域預計將佔據最大的市場佔有率。這主要歸功於人工智慧驅動的影像解決方案在診斷和病患監測的應用日益廣泛。電腦視覺能夠對X光片、核磁共振成像（MRI）和電腦斷層掃描）等醫學影像進行精準分析，有助於疾病的早期發現和治療效果的提升。除了對精準醫療日益成長的需求外，熟練放射科醫生的短缺也進一步推動了該技術的應用。此外，其與遠端醫療和遠距照護解決方案的整合也進一步強化了其在現代醫療保健系統中的作用。

在預測期內，影像識別領域預計將呈現最高的複合年成長率。

在預測期內，由於影像識別技術在眾多產業的廣泛應用，預計該領域將呈現最高的成長率。企業越來越依賴影像識別來完成諸如臉部辨識、物件偵測、品質偵測和零售分析等任務。深度學習模型的進步顯著提高了準確性和效率，實現了即時處理。社交媒體、安全性和電子商務平台對視覺數據的日益成長的需求進一步推動了市場需求，使影像識別成為主要的市場驅動力。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其強大的技術基礎設施和先進人工智慧解決方案的早期應用。主要企業的存在、對研發的大量投入以及有利的政府政策都鞏固了其市場主導地位。醫療保健、汽車、零售和國防等行業的高需求將進一步推動市場成長。此外，該地區對創新和數位轉型的重視也確保了其在人工智慧主導的電腦視覺技術領域的持續領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的工業化進程和人工智慧技術的廣泛應用。中國、印度和日本等國家正大力投資智慧城市計畫、製造自動化和監控系統。不斷擴大的消費性電子市場和電子商務平台的成長進一步推動了對電腦視覺應用的需求。政府的支持性舉措和新興企業生態系統的興起也為該地區未來幾年的強勁成長潛力做出了貢獻。

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所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球電腦視覺人工智慧市場：按組件分類

  • 硬體
  • 軟體

第6章：全球電腦視覺人工智慧市場：基於機器學習模型

  • 監督式學習
  • 無監督學習
  • 強化學習

第7章：全球電腦視覺人工智慧市場：按功能分類

  • 訓練
  • 推理

第8章：全球電腦視覺人工智慧市場：按技術分類

  • 機器學習
  • 深度學習
  • 人工智慧世代
  • 電腦視覺演算法

第9章：全球電腦視覺人工智慧市場：按應用領域分類

  • 品質保證與檢驗
  • 測量
  • 鑑別
  • 預測性保護
  • 位置識別/引導
  • 影像識別
  • 目標偵測
  • 臉部辨識
  • 影像分割

第10章：全球電腦視覺人工智慧市場：按最終用戶分類

  • 車
  • 家用電子產品
  • 衛生保健
  • 零售
  • 安全監控
  • 製造業
  • 農業

第11章：全球電腦視覺人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • Amazon Web Services
  • IBM Corporation
  • Qualcomm Technologies, Inc.
  • Sony Semiconductor Solutions Corporation
  • Cognex Corporation
  • Teledyne Technologies Incorporated
  • Texas Instruments Incorporated
  • OMRON Corporation
  • SenseTime
  • Megvii Technology Limited
  • Clarifai Inc.
Product Code: SMRC34922

According to Stratistics MRC, the Global AI in Computer Vision Market is accounted for $27.21 billion in 2026 and is expected to reach $110.17 billion by 2034 growing at a CAGR of 19.1% during the forecast period. Artificial Intelligence in Computer Vision refers to the integration of advanced algorithms, particularly deep learning and machine learning models, into systems that enable machines to interpret, analyze, and derive meaningful insights from visual data such as images and videos. It empowers computers to perform tasks including object detection, image classification, facial recognition, and scene understanding with high accuracy. By mimicking human visual perception, AI-driven computer vision enhances automation, decision-making, and operational efficiency across industries such as healthcare, automotive, manufacturing, retail, and security.

Market Dynamics:

Driver:

Rapid Advancements in AI and Deep Learning

Rapid advancements in artificial intelligence and deep learning are significantly accelerating the growth of the AI in computer vision market. Continuous improvements in neural networks, convolutional models, and training techniques have enhanced accuracy in image and video analysis. The increasing availability of large datasets and high-performance computing infrastructure further strengthens model capabilities. These technological strides enable real-time processing, improved automation, and scalable deployment across industries, driving widespread adoption in applications such as surveillance, diagnostics, and autonomous systems.

Restraint:

High Implementation and Infrastructure Costs

High implementation and infrastructure costs remain a major restraint for the market. Deploying advanced vision systems requires significant investment in hardware, including GPUs, edge devices, and high-resolution sensors, along with specialized software and skilled personnel. Additionally, costs associated with data acquisition, labeling, and model training further increase the financial burden. Small and medium-sized enterprises often struggle to justify such investments, limiting widespread adoption.

Opportunity:

Expansion of Smart Devices and Edge Computing

The rapid expansion of smart devices and edge computing presents a strong growth opportunity for the AI in computer vision market. With increasing adoption of IoT enabled devices, smartphones, and wearable technologies, there is a growing demand for real time visual processing at the edge. Edge computing reduces latency, enhances data privacy, and enables faster decision making without relying heavily on cloud infrastructure. This shift supports new use cases in smart homes, industrial automation, and autonomous systems, opening avenues for scalable and efficient AI powered vision solutions.

Threat:

Data Privacy and Ethical Concerns

Data privacy and ethical concerns pose a significant threat to the growth of the market. The use of facial recognition, surveillance systems, and biometric data raises serious issues regarding user consent, data misuse, and security breaches. Regulatory frameworks across regions are becoming stricter, potentially limiting deployment in sensitive applications. Public skepticism and ethical debates surrounding bias, transparency, and accountability in AI models further challenge adoption, requiring companies to invest in responsible AI practices and robust compliance measures.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the AI in computer vision market. While initial disruptions affected supply chains and project deployments, the crisis accelerated the adoption of contactless technologies and automation. Computer vision solutions gained traction in applications such as thermal screening, mask detection, crowd monitoring, and remote healthcare diagnostics. Organizations increasingly relied on AI-driven visual systems to ensure safety and operational continuity, ultimately boosting market growth and highlighting the importance of intelligent automation in crisis management.

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

The healthcare segment is expected to account for the largest market share during the forecast period, due to increasing adoption of AI powered imaging solutions for diagnostics and patient monitoring. Computer vision enables accurate analysis of medical images such as X-rays, MRIs, and CT scans, improving early disease detection and treatment outcomes. The rising demand for precision medicine, coupled with a shortage of skilled radiologists, further drives adoption. Additionally, integration with telemedicine and remote care solutions strengthens its role in modern healthcare systems.

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

Over the forecast period, the image recognition segment is predicted to witness the highest growth rate, due to widespread applicability across industries. Businesses increasingly rely on image recognition for tasks such as facial recognition, object detection, quality inspection, and retail analytics. Advancements in deep learning models have significantly improved accuracy and efficiency, enabling real-time processing. The growing use of visual data in social media, security, and e-commerce platforms further fuels demand, positioning image recognition as a key growth driver in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to strong technological infrastructure and early adoption of advanced AI solutions. The presence of leading technology companies, significant investments in research and development, and favorable government initiatives contribute to market dominance. High demand across sectors such as healthcare, automotive, retail, and defense further supports growth. Additionally, the region's focus on innovation and digital transformation ensures continued leadership in AI-driven computer vision technologies.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid industrialization and increasing adoption of AI technologies. Countries such as China, India, and Japan are investing heavily in smart city projects, manufacturing automation, and surveillance systems. The growing consumer electronics market and expansion of e-commerce platforms further drive demand for computer vision applications. Supportive government initiatives and rising startup ecosystems also contribute to the region's strong growth potential in the coming years.

Key players in the market

Some of the key players in AI in Computer Vision Market include NVIDIA Corporation, Intel Corporation, Microsoft Corporation, Alphabet Inc., Amazon Web Services, IBM Corporation, Qualcomm Technologies, Inc., Sony Semiconductor Solutions Corporation, Cognex Corporation, Teledyne Technologies Incorporated, Texas Instruments Incorporated, OMRON Corporation, SenseTime, Megvii Technology Limited and Clarifai Inc.

Key Developments:

In February 2026, Wesfarmers and Microsoft announced a multi-year strategic partnership to accelerate AI-powered innovation, focusing on expanding the adoption of Microsoft's AI, cloud, and data technologies across retail and industrial operations, enhancing customer experience, improving supply chain efficiency, and boosting employee productivity through AI-driven tools.

In February 2026, Microsoft and OpenAI reaffirmed their long-standing partnership, emphasizing that it remains strong and unchanged despite new collaborations and investments. Both companies will continue working closely across research, engineering, and product development, with Microsoft retaining access to OpenAI's intellectual property and Azure remaining central to delivering AI solutions, while maintaining flexibility for independent growth.

Components Covered:

  • Hardware
  • Software

Machine Learning Models Covered:

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Functions Covered:

  • Training
  • Inference

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Generative AI
  • Computer Vision Algorithms

Applications Covered:

  • Quality Assurance & Inspection
  • Measurement
  • Identification
  • Predictive Maintenance
  • Positioning & Guidance
  • Image Recognition
  • Object Detection
  • Facial Recognition
  • Image Segmentation

End Users Covered:

  • Automotive
  • Consumer Electronics
  • Healthcare
  • Retail
  • Security & Surveillance
  • Manufacturing
  • Agriculture

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Computer Vision Market, By Component

  • 5.1 Hardware
  • 5.2 Software

6 Global AI in Computer Vision Market, By Machine Learning Model

  • 6.1 Supervised Learning
  • 6.2 Unsupervised Learning
  • 6.3 Reinforcement Learning

7 Global AI in Computer Vision Market, By Function

  • 7.1 Training
  • 7.2 Inference

8 Global AI in Computer Vision Market, By Technology

  • 8.1 Machine Learning
  • 8.2 Deep Learning
  • 8.3 Generative AI
  • 8.4 Computer Vision Algorithms

9 Global AI in Computer Vision Market, By Application

  • 9.1 Quality Assurance & Inspection
  • 9.2 Measurement
  • 9.3 Identification
  • 9.4 Predictive Maintenance
  • 9.5 Positioning & Guidance
  • 9.6 Image Recognition
  • 9.7 Object Detection
  • 9.8 Facial Recognition
  • 9.9 Image Segmentation

10 Global AI in Computer Vision Market, By End User

  • 10.1 Automotive
  • 10.2 Consumer Electronics
  • 10.3 Healthcare
  • 10.4 Retail
  • 10.5 Security & Surveillance
  • 10.6 Manufacturing
  • 10.7 Agriculture

11 Global AI in Computer Vision Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 NVIDIA Corporation
  • 14.2 Intel Corporation
  • 14.3 Microsoft Corporation
  • 14.4 Alphabet Inc.
  • 14.5 Amazon Web Services
  • 14.6 IBM Corporation
  • 14.7 Qualcomm Technologies, Inc.
  • 14.8 Sony Semiconductor Solutions Corporation
  • 14.9 Cognex Corporation
  • 14.10 Teledyne Technologies Incorporated
  • 14.11 Texas Instruments Incorporated
  • 14.12 OMRON Corporation
  • 14.13 SenseTime
  • 14.14 Megvii Technology Limited
  • 14.15 Clarifai Inc.

List of Tables

  • Table 1 Global AI in Computer Vision Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Computer Vision Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Computer Vision Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI in Computer Vision Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global AI in Computer Vision Market Outlook, By Machine Learning Model (2023-2034) ($MN)
  • Table 6 Global AI in Computer Vision Market Outlook, By Supervised Learning (2023-2034) ($MN)
  • Table 7 Global AI in Computer Vision Market Outlook, By Unsupervised Learning (2023-2034) ($MN)
  • Table 8 Global AI in Computer Vision Market Outlook, By Reinforcement Learning (2023-2034) ($MN)
  • Table 9 Global AI in Computer Vision Market Outlook, By Function (2023-2034) ($MN)
  • Table 10 Global AI in Computer Vision Market Outlook, By Training (2023-2034) ($MN)
  • Table 11 Global AI in Computer Vision Market Outlook, By Inference (2023-2034) ($MN)
  • Table 12 Global AI in Computer Vision Market Outlook, By Technology (2023-2034) ($MN)
  • Table 13 Global AI in Computer Vision Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 14 Global AI in Computer Vision Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 15 Global AI in Computer Vision Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 16 Global AI in Computer Vision Market Outlook, By Computer Vision Algorithms (2023-2034) ($MN)
  • Table 17 Global AI in Computer Vision Market Outlook, By Application (2023-2034) ($MN)
  • Table 18 Global AI in Computer Vision Market Outlook, By Quality Assurance & Inspection (2023-2034) ($MN)
  • Table 19 Global AI in Computer Vision Market Outlook, By Measurement (2023-2034) ($MN)
  • Table 20 Global AI in Computer Vision Market Outlook, By Identification (2023-2034) ($MN)
  • Table 21 Global AI in Computer Vision Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
  • Table 22 Global AI in Computer Vision Market Outlook, By Positioning & Guidance (2023-2034) ($MN)
  • Table 23 Global AI in Computer Vision Market Outlook, By Image Recognition (2023-2034) ($MN)
  • Table 24 Global AI in Computer Vision Market Outlook, By Object Detection (2023-2034) ($MN)
  • Table 25 Global AI in Computer Vision Market Outlook, By Facial Recognition (2023-2034) ($MN)
  • Table 26 Global AI in Computer Vision Market Outlook, By Image Segmentation (2023-2034) ($MN)
  • Table 27 Global AI in Computer Vision Market Outlook, By End User (2023-2034) ($MN)
  • Table 28 Global AI in Computer Vision Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 29 Global AI in Computer Vision Market Outlook, By Consumer Electronics (2023-2034) ($MN)
  • Table 30 Global AI in Computer Vision Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 31 Global AI in Computer Vision Market Outlook, By Retail (2023-2034) ($MN)
  • Table 32 Global AI in Computer Vision Market Outlook, By Security & Surveillance (2023-2034) ($MN)
  • Table 33 Global AI in Computer Vision Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 34 Global AI in Computer Vision Market Outlook, By Agriculture (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.