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AI Machine Vision Market

完整報告名稱與涵蓋範圍
AI Machine Vision Market Size, Share & Trends Analysis Report, By Component (Cameras, Sensors and Smart Vision Devices, Vision Processing Hardware and Edge AI Accelerators, AI Vision Software, Deep Learning Tools and Platforms, Integration, Training and Services), By Application (Quality Inspection and Defect Detection, Identification, Measurement and Guidance, Robot Guidance and Bin Picking, Safety Monitoring, Logistics and Process Analytics), By Industry Vertical (Electronics and Semiconductors, Automotive and Machinery, Food, Beverage, Pharmaceuticals and Packaging, Logistics, Warehousing and Retail), By End User, By Region, and Segment Forecasts, 2026-2035

報告摘要

The AI machine vision market covers cameras, sensors and smart vision devices, vision processing hardware and edge AI accelerators, deep learning vision software and platforms and integration, training and services applied to quality inspection, identification and measurement, robot guidance and safety, logistics and process analytics across electronics, automotive, food and pharmaceutical, packaging and logistics industries. Conventional rule-based machine vision without AI capability is analysed as the installed base but excluded from revenue, and consumer and security cameras are excluded. Deep learning has expanded machine vision from structured tasks with fixed rules to inspection of variable products, cosmetic defects and complex assemblies that previously required human inspectors, and edge AI processors now run these models inside cameras and controllers at production speed. Demand is driven by quality requirements in electronics and electric vehicle batteries, by labour shortages and reshoring that favour automated inspection, by robotics expansion that depends on vision for guidance and by logistics automation. Vendors are simplifying training with no-code tools, synthetic data and foundation models for vision, integrating vision with robot and PLC ecosystems and offering vision-as-a-service, while data collection, model validation, integration effort and competition from Chinese vision suppliers shape the market. Asia Pacific is the largest market through electronics and automotive manufacturing in China, Japan, South Korea and Taiwan, with North America and Europe leading in AI software and logistics applications. Competition involves machine vision leaders, sensor and automation groups, AI software specialists, semiconductor companies and Chinese vision manufacturers. The InsightAce study includes revenue forecasts in US$ for all component, application, industry vertical and end user and regional segments across 2026-2035, segment-level trend analysis, competitive positioning assessment and company profiles.

授權報價

Single User$4,500 USD
Enterprise / Global Site Licence$9,500 USD

目錄 Table of Contents

Chapter 1. Methodology and Scope 1.1. Research Methodology 1.2. Research Scope & Assumptions Chapter 2. Executive Summary Chapter 3. Global AI Machine Vision Market Snapshot Chapter 4. Global AI Machine Vision Market Variables, Trends & Scope 4.1. Market Segmentation & Scope 4.2. Market Drivers 4.3. Market Challenges 4.4. Emerging Trends 4.5. Investment and Funding Analysis 4.6. Industry Analysis - Porter's Five Forces Analysis 4.7. Competitive Landscape and Market Positioning 4.8. Market Opportunity Analysis Chapter 5. Market Segmentation 1: By Component Estimates & Trend Analysis 5.1. Component & Market Share, 2026 & 2035 5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Component: 5.2.1. Cameras, Sensors and Smart Vision Devices 5.2.2. Vision Processing Hardware and Edge AI Accelerators 5.2.3. AI Vision Software, Deep Learning Tools and Platforms 5.2.4. Integration, Training and Services Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis 6.1. Application & Market Share, 2026 & 2035 6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Application: 6.2.1. Quality Inspection and Defect Detection 6.2.2. Identification, Measurement and Guidance 6.2.3. Robot Guidance and Bin Picking 6.2.4. Safety Monitoring, Logistics and Process Analytics Chapter 7. Market Segmentation 3: By Industry Vertical Estimates & Trend Analysis 7.1. Industry Vertical & Market Share, 2026 & 2035 7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by Industry Vertical: 7.2.1. Electronics and Semiconductors 7.2.2. Automotive and Machinery 7.2.3. Food, Beverage, Pharmaceuticals and Packaging 7.2.4. Logistics, Warehousing and Retail Chapter 8. Market Segmentation 4: By End User Estimates & Trend Analysis 8.1. End User & Market Share, 2026 & 2035 8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analysis, 2026 to 2035, by End User: 8.2.1. Manufacturers and Plant Operators 8.2.2. System Integrators and Machine Builders 8.2.3. Logistics and Retail Operators Chapter 9. AI Machine Vision Market: Regional Estimates & Trend Analysis 9.1. North America 9.1.1. United States 9.1.2. Canada 9.2. Europe 9.2.1. Germany 9.2.2. United Kingdom 9.2.3. France 9.2.4. Italy 9.2.5. Spain 9.2.6. Rest of Europe 9.3. Asia Pacific 9.3.1. China 9.3.2. Japan 9.3.3. India 9.3.4. South Korea 9.3.5. Australia 9.3.6. Southeast Asia 9.3.7. Rest of Asia Pacific 9.4. Latin America 9.4.1. Brazil 9.4.2. Mexico 9.4.3. Rest of Latin America 9.5. Middle East & Africa 9.5.1. GCC Countries 9.5.2. South Africa 9.5.3. Rest of Middle East & Africa Chapter 10. Competitive Landscape 10.1. Company Market Positioning Analysis 10.2. Strategic Developments (Partnerships, Expansions, Product Launches, M&A) Chapter 11. Company Profiles 11.1. Cognex Corporation 11.2. Keyence Corporation 11.3. Basler AG 11.4. Zebra Technologies Corporation 11.5. Teledyne Technologies Incorporated 11.6. SICK AG 11.7. Omron Corporation 11.8. MVTec Software GmbH 11.9. Landing AI 11.10. Instrumental, Inc. 11.11. NVIDIA Corporation 11.12. Intel Corporation 11.13. Hikrobot (Hangzhou Hikrobot Co., Ltd.) 11.14. Datalogic S.p.A. 11.15. Sony Semiconductor Solutions Corporation

圖表清單 List of Tables & Figures

Table 1. Global AI Machine Vision Market Revenue Forecast by Component, 2026-2035 (US$ Mn) Figure 1. Global AI Machine Vision Market Segmentation Overview Table 2. Global AI Machine Vision Market Revenue Forecast by Application, 2026-2035 (US$ Mn) Figure 2. Global AI Machine Vision Market Share by Component, 2026 & 2035 Table 3. Global AI Machine Vision Market Revenue Forecast by Industry Vertical, 2026-2035 (US$ Mn) Figure 3. Deep Learning Expansion of Machine Vision from Rule-Based Tasks to Variable Inspection Table 4. Global AI Machine Vision Market Revenue Forecast by End User, 2026-2035 (US$ Mn) Figure 4. Global AI Machine Vision Market Share by Application, 2026 & 2035 Table 5. North America AI Machine Vision Market Revenue by Country, 2026-2035 (US$ Mn) Figure 5. AI Vision Adoption by Application and Industry Vertical, 2026-2035 Table 6. Europe AI Machine Vision Market Revenue by Country, 2026-2035 (US$ Mn) Figure 6. Asia Pacific AI Machine Vision Growth Opportunity Analysis Table 7. Asia Pacific AI Machine Vision Market Revenue by Country, 2026-2035 (US$ Mn) Figure 7. Edge AI Hardware and No-Code Training Tools Lowering Deployment Barriers Table 8. Latin America AI Machine Vision Market Revenue by Country, 2026-2035 (US$ Mn) Figure 8. Competitive Positioning of Key AI Machine Vision Market Participants Table 9. Middle East & Africa AI Machine Vision Market Revenue by Country, 2026-2035 (US$ Mn)

提及公司

Cognex CorporationKeyence CorporationBasler AGZebra Technologies CorporationTeledyne Technologies IncorporatedSICK AGOmron CorporationMVTec Software GmbHLanding AIInstrumental, Inc.NVIDIA CorporationIntel CorporationHikrobot (Hangzhou Hikrobot Co., Ltd.)Datalogic S.p.A.Sony Semiconductor Solutions Corporation

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