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市场调查报告书
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2021535

人工智慧视觉检测系统市场预测至2034年——按系统类型、组件、技术、应用、最终用户和地区分類的全球分析

AI Vision Inspection Systems Market Forecasts to 2034 - Global Analysis By System Type, Component, 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个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球 AI 视觉检测系统市场规模将达到 146 亿美元，并在预测期内以 10.3% 的复合年增长率增长，到 2034 年将达到 321 亿美元。

人工智慧视觉检测系统是指整合了高解析度工业相机、先进照明系统、人工智慧影像处理演算法和基于深度学习的缺陷检测模型的机器视觉软硬体平台。这些系统广泛应用于半导体、电子、汽车、食品、製药和消费品等製造业，能够以生产线的速度对产品、零件和材料进行自动化品质检测，其检测表面缺陷、尺寸偏差、组装错误、污染和标籤异常的准确性和一致性均优于人工视觉检测。

对零缺陷製造的需求

汽车、电子和医疗设备製造业对「零缺陷」製造品质标准的需求日益增长，加上客户对产品品质的期望不断提高，使得投资人工智慧视觉检测系统变得至关重要。这是因为人工智慧视觉检测系统是唯一可扩展的技术，能够在生产速度远超人类视觉检测能力的情况下，实现持续的100%在线检测覆盖率。尤其值得一提的是，汽车OEM供应商对安全关键零件的品质要求，强制要求采用基于人工智慧的缺陷检测技术，这正在推动高性能视觉检测系统的应用。

人工智慧模型训练设备的要求

在包含各种缺陷类型和正常产品差异情况的大规模标註影像资料集上训练深度学习缺陷侦测模型，会对资料收集和标註造成巨大的投资负担。这导致人工智慧视觉检测的部署週期延长，初始部署成本增加。在缺陷率低、产品差异大的製造环境中，这种趋势尤其明显，因为在商业性可接受的时间范围内无法累积足够的训练资料集。

扩大半导体测试规模

半导体晶圆和先进封装的检测是人工智慧视觉检测领域中附加价值最高的精密检测细分市场。晶片製造商需要在复杂的多层晶片结构中，以奈米级特征尺寸进行日益精密的缺陷检测。能够检测出传统基于规则的检测演算法无法识别的、影响良率的缺陷的人工智慧侦测系统，对于在先进製程节点上维持可接受的晶片良率至关重要。

系统整合的复杂性

由于生产线机械整合要求、照明环境优化需求、输送机速度同步以及与公司製造执行系统 (MES) 的数据连接等诸多因素，人工智慧视觉检测系统的整合复杂性导致工程范围和成本显着增加。这导致系统实施后的投资回报率降低，与供应商在受控实验室环境下演示的系统性能相比，客户对实施进度和最终系统性能的满意度也较低。

新冠疫情的影响：

新冠疫情对价值链造成的衝击增加了报废缺陷产品的成本和退货担保费用，促使企业优先投资品管并加速采用人工智慧视觉检测技术。疫情期间，质检人员难以进入生产设施，凸显了自动化检测系统在无需人工干预的情况下维持品管的营运韧性价值。疫情后，企业对品质改进和智慧工厂自动化项目的投资进一步推动了对人工智慧视觉检测技术的强劲需求。

在预测期内，离线测试系统细分市场预计将占据最大份额。

预计在预测期内，离线侦测系统将占据最大的市场份额。这主要归功于其在各个製造业的广泛应用。由于产品复杂性、对全面检测的需求以及批量生产流程等因素，专用离线检测站比线上整合系统更受欢迎。此外，离线检测系统的应用基础更广泛，因为它可以改造现有製造设施，无需像线上系统那样进行复杂的生产线整合工程，从而降低了实施线上系统的成本。

预计在预测期内，相机和影像感测器领域将呈现最高的复合年增长率。

在预测期内，受工业相机解析度、影格速率和频谱成像能力等技术的快速发展推动，相机和成像感测器领域预计将呈现最高的成长率，从而实现传统成像硬体无法实现的新型缺陷检测应用。此外，人工智慧视觉检测技术的日益普及也将透过相机升级和新增安装，为不断扩大的安装基础带来可观的硬体收入。

市占率最大的地区：

在预测期内，北美预计将占据最大的市场份额。这是因为美国拥有众多领先的人工智慧视觉检测技术开发商，例如康耐视（Cognex）和泰莱达因（Teledyne），以及新兴的人工智慧原生检测Start-Ups，同时还拥有强大的製造业，例如汽车、半导体和医疗设备製造，从而形成了高价值检测应用的集中市场。这支撑了人工智慧视觉检测系统持续的高价位和高单设施价值。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率。这是因为中国、韩国、日本和台湾是全球最大的电子和半导体製造地，需要广泛采用人工智慧视觉检测技术；同时，中国国内生产製造品质标准的快速提升，也加速了人工智慧检测系统的应用，以满足国际OEM供应商的品质认证要求。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 促进因素、挑战和机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章 全球人工智慧视觉侦测系统市场：依系统类型划分

  • 二维视觉检测系统
  • 3D视觉检测系统
  • 基于深度学习的检测系统
  • 基于智慧摄影机的系统
  • 嵌入式视觉系统
  • 线上检测系统
  • 离线侦测系统

第六章 全球人工智慧视觉检测系统市场：按组件划分

  • 相机和成像感测器
  • 照明/光学
  • 人工智慧处理单元
  • 人工智慧软体
  • 整合和连接模组

第七章 全球人工智慧视觉检测系统市场：按技术划分

  • 电脑视觉
  • 深度学习
  • 影像处理演算法
  • 边缘人工智慧
  • 感测器融合

第八章 全球人工智慧视觉检测系统市场：按应用领域划分

  • 品质检验
  • 缺陷检测
  • 目标识别
  • 包装检验
  • 表面检查

第九章 全球人工智慧视觉检测系统市场：按最终用户划分

  • 製造业
  • 车
  • 电子设备
  • 食品/饮料
  • 製药

第十章 全球人工智慧视觉侦测系统市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • Cognex Corporation
  • Keyence Corporation
  • Basler AG
  • Omron Corporation
  • Sick AG
  • Teledyne Technologies Inc.
  • Allied Vision Technologies GmbH
  • Hikrobot Co., Ltd.
  • Sony Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • ABB Ltd.
  • Siemens AG
  • FANUC Corporation
  • Mitsubishi Electric Corporation
  • Honeywell International Inc.
  • Zebra Technologies Corporation
Product Code: SMRC34875

According to Stratistics MRC, the Global AI Vision Inspection Systems Market is accounted for $14.6 billion in 2026 and is expected to reach $32.1 billion by 2034 growing at a CAGR of 10.3% during the forecast period. AI vision inspection systems refer to integrated machine vision hardware and software platforms combining high-resolution industrial cameras, advanced illumination systems, AI-powered image processing algorithms, and deep learning defect detection models to perform automated quality inspection of manufactured products, components, and materials at production line speeds with greater accuracy and consistency than human visual inspection, detecting surface defects, dimensional deviations, assembly errors, contamination, and labeling anomalies across semiconductor, electronics, automotive, food, pharmaceutical, and consumer goods manufacturing applications.

Market Dynamics:

Driver:

Zero-Defect Manufacturing Demand

Zero-defect manufacturing quality standards and escalating customer product quality expectations across automotive, electronics, and medical device manufacturing sectors are driving mandatory investment in AI vision inspection systems as the only scalable technology capable of achieving consistent hundred-percent inline inspection coverage at production speeds exceeding human visual inspection capability. Automotive OEM supplier quality requirements mandating AI-verified defect detection for safety-critical components are particularly driving premium vision inspection system adoption.

Restraint:

AI Model Training Data Requirements

Deep learning defect detection model training requirements for large labeled image datasets representing diverse defect types and normal product variation conditions create substantial data collection and annotation investment burdens that extend AI vision inspection deployment timelines and increase initial implementation costs, particularly for low-volume or highly varied product manufacturing environments where defect incidence rates are insufficient to accumulate adequate training datasets within commercially acceptable timeframes.

Opportunity:

Semiconductor Inspection Scale-Up

Semiconductor wafer and advanced packaging inspection represents the highest-value precision AI vision inspection market segment as chip manufacturers require increasingly sophisticated defect detection at nanometer-scale feature dimensions on complex multi-layer die structures where AI-powered inspection systems capable of detecting yield-limiting defects that conventional rule-based inspection algorithms cannot identify are essential for maintaining acceptable die yield at advanced process nodes.

Threat:

System Integration Complexity

AI vision inspection system integration complexity arising from production line mechanical integration requirements, lighting environment optimization needs, conveyor speed synchronization, and enterprise manufacturing execution system data connectivity create substantial engineering scope and cost escalations that reduce total deployed system ROI and generate customer disappointment with implementation timelines and final system performance relative to vendor demonstration capabilities in controlled laboratory settings.

Covid-19 Impact:

COVID-19 supply chain disruptions elevating the cost of defective product scrap and warranty returns amplified enterprise quality management investment priority that accelerated AI vision inspection adoption. Reduced access of quality inspector personnel to manufacturing facilities during pandemic restrictions demonstrated the operational resilience value of automated inspection systems maintaining quality control without continuous human presence. Post-pandemic quality excellence investment and smart factory automation programs sustain strong AI vision inspection demand.

The offline inspection systems segment is expected to be the largest during the forecast period

The offline inspection systems segment is expected to account for the largest market share during the forecast period, due to broad adoption across diverse manufacturing sectors where product complexity, inspection thoroughness requirements, and batch production processes favor dedicated offline inspection stations over inline integration, combined with the broader addressable installation base for offline inspection systems that can be retrofitted into existing manufacturing facilities without complex production line integration engineering requirements that constrain inline system deployment.

The cameras & imaging sensors segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cameras & imaging sensors segment is predicted to witness the highest growth rate, driven by rapid technology advancement in industrial camera resolution, frame rate, and multi-spectral imaging capability enabling new defect detection applications previously unachievable with conventional imaging hardware, combined with expanding AI vision inspection deployment creating substantial camera replacement and new installation hardware revenue as system deployments scale across growing installed base sites.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting leading AI vision inspection technology developers including Cognex, Teledyne, and emerging AI-native inspection startups, combined with strong automotive, semiconductor, and medical device manufacturing sectors representing high-value inspection application concentrations that sustain premium AI vision inspection system pricing and high per-facility deployment values.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, South Korea, Japan, and Taiwan representing the world's largest electronics and semiconductor manufacturing concentrations requiring extensive AI vision inspection deployment, combined with rapid manufacturing quality standard elevation across Chinese domestic production driving accelerated AI inspection system adoption to meet international OEM supplier quality certification requirements.

Key players in the market

Some of the key players in AI Vision Inspection Systems Market include Cognex Corporation, Keyence Corporation, Basler AG, Omron Corporation, Sick AG, Teledyne Technologies Inc., Allied Vision Technologies GmbH, Hikrobot Co., Ltd., Sony Corporation, NVIDIA Corporation, Intel Corporation, ABB Ltd., Siemens AG, FANUC Corporation, Mitsubishi Electric Corporation, Honeywell International Inc., and Zebra Technologies Corporation.

Key Developments:

In February 2026, Keyence Corporation introduced a multi-camera AI vision inspection system with integrated 3D measurement capability enabling simultaneous surface defect detection and dimensional verification for complex automotive component inspection.

In January 2026, Hikrobot Co., Ltd. secured a major expansion contract deploying AI vision inspection systems across a large consumer electronics manufacturing facility for comprehensive PCB assembly quality verification and packaging inspection.

In November 2025, Basler AG launched a new embedded AI vision inspection camera with onboard deep learning inference enabling standalone defect detection without external processing hardware for distributed manufacturing cell deployment.

System Types Covered:

  • 2D Vision Inspection Systems
  • 3D Vision Inspection Systems
  • Deep Learning-Based Inspection Systems
  • Smart Camera-Based Systems
  • Embedded Vision Systems
  • Inline Inspection Systems
  • Offline Inspection Systems

Components Covered:

  • Cameras & Imaging Sensors
  • Lighting & Optics
  • AI Processing Units
  • AI Software
  • Integration & Connectivity Modules

Technologies Covered:

  • Computer Vision
  • Deep Learning
  • Image Processing Algorithms
  • Edge AI
  • Sensor Fusion

Applications Covered:

  • Quality Inspection
  • Defect Detection
  • Object Recognition
  • Packaging Inspection
  • Surface Inspection

End Users Covered:

  • Manufacturing
  • Automotive
  • Electronics
  • Food & Beverage
  • Pharmaceuticals

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 Vision Inspection Systems Market, By System Type

  • 5.1 2D Vision Inspection Systems
  • 5.2 3D Vision Inspection Systems
  • 5.3 Deep Learning-Based Inspection Systems
  • 5.4 Smart Camera-Based Systems
  • 5.5 Embedded Vision Systems
  • 5.6 Inline Inspection Systems
  • 5.7 Offline Inspection Systems

6 Global AI Vision Inspection Systems Market, By Component

  • 6.1 Cameras & Imaging Sensors
  • 6.2 Lighting & Optics
  • 6.3 AI Processing Units
  • 6.4 AI Software
  • 6.5 Integration & Connectivity Modules

7 Global AI Vision Inspection Systems Market, By Technology

  • 7.1 Computer Vision
  • 7.2 Deep Learning
  • 7.3 Image Processing Algorithms
  • 7.4 Edge AI
  • 7.5 Sensor Fusion

8 Global AI Vision Inspection Systems Market, By Application

  • 8.1 Quality Inspection
  • 8.2 Defect Detection
  • 8.3 Object Recognition
  • 8.4 Packaging Inspection
  • 8.5 Surface Inspection

9 Global AI Vision Inspection Systems Market, By End User

  • 9.1 Manufacturing
  • 9.2 Automotive
  • 9.3 Electronics
  • 9.4 Food & Beverage
  • 9.5 Pharmaceuticals

10 Global AI Vision Inspection Systems Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Cognex Corporation
  • 13.2 Keyence Corporation
  • 13.3 Basler AG
  • 13.4 Omron Corporation
  • 13.5 Sick AG
  • 13.6 Teledyne Technologies Inc.
  • 13.7 Allied Vision Technologies GmbH
  • 13.8 Hikrobot Co., Ltd.
  • 13.9 Sony Corporation
  • 13.10 NVIDIA Corporation
  • 13.11 Intel Corporation
  • 13.12 ABB Ltd.
  • 13.13 Siemens AG
  • 13.14 FANUC Corporation
  • 13.15 Mitsubishi Electric Corporation
  • 13.16 Honeywell International Inc.
  • 13.17 Zebra Technologies Corporation

List of Tables

  • Table 1 Global AI Vision Inspection Systems Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Vision Inspection Systems Market Outlook, By System Type (2023-2034) ($MN)
  • Table 3 Global AI Vision Inspection Systems Market Outlook, By 2D Vision Inspection Systems (2023-2034) ($MN)
  • Table 4 Global AI Vision Inspection Systems Market Outlook, By 3D Vision Inspection Systems (2023-2034) ($MN)
  • Table 5 Global AI Vision Inspection Systems Market Outlook, By Deep Learning-Based Inspection Systems (2023-2034) ($MN)
  • Table 6 Global AI Vision Inspection Systems Market Outlook, By Smart Camera-Based Systems (2023-2034) ($MN)
  • Table 7 Global AI Vision Inspection Systems Market Outlook, By Embedded Vision Systems (2023-2034) ($MN)
  • Table 8 Global AI Vision Inspection Systems Market Outlook, By Inline Inspection Systems (2023-2034) ($MN)
  • Table 9 Global AI Vision Inspection Systems Market Outlook, By Offline Inspection Systems (2023-2034) ($MN)
  • Table 10 Global AI Vision Inspection Systems Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global AI Vision Inspection Systems Market Outlook, By Cameras & Imaging Sensors (2023-2034) ($MN)
  • Table 12 Global AI Vision Inspection Systems Market Outlook, By Lighting & Optics (2023-2034) ($MN)
  • Table 13 Global AI Vision Inspection Systems Market Outlook, By AI Processing Units (2023-2034) ($MN)
  • Table 14 Global AI Vision Inspection Systems Market Outlook, By AI Software (2023-2034) ($MN)
  • Table 15 Global AI Vision Inspection Systems Market Outlook, By Integration & Connectivity Modules (2023-2034) ($MN)
  • Table 16 Global AI Vision Inspection Systems Market Outlook, By Technology (2023-2034) ($MN)
  • Table 17 Global AI Vision Inspection Systems Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 18 Global AI Vision Inspection Systems Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 19 Global AI Vision Inspection Systems Market Outlook, By Image Processing Algorithms (2023-2034) ($MN)
  • Table 20 Global AI Vision Inspection Systems Market Outlook, By Edge AI (2023-2034) ($MN)
  • Table 21 Global AI Vision Inspection Systems Market Outlook, By Sensor Fusion (2023-2034) ($MN)
  • Table 22 Global AI Vision Inspection Systems Market Outlook, By Application (2023-2034) ($MN)
  • Table 23 Global AI Vision Inspection Systems Market Outlook, By Quality Inspection (2023-2034) ($MN)
  • Table 24 Global AI Vision Inspection Systems Market Outlook, By Defect Detection (2023-2034) ($MN)
  • Table 25 Global AI Vision Inspection Systems Market Outlook, By Object Recognition (2023-2034) ($MN)
  • Table 26 Global AI Vision Inspection Systems Market Outlook, By Packaging Inspection (2023-2034) ($MN)
  • Table 27 Global AI Vision Inspection Systems Market Outlook, By Surface Inspection (2023-2034) ($MN)
  • Table 28 Global AI Vision Inspection Systems Market Outlook, By End User (2023-2034) ($MN)
  • Table 29 Global AI Vision Inspection Systems Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 30 Global AI Vision Inspection Systems Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 31 Global AI Vision Inspection Systems Market Outlook, By Electronics (2023-2034) ($MN)
  • Table 32 Global AI Vision Inspection Systems Market Outlook, By Food & Beverage (2023-2034) ($MN)
  • Table 33 Global AI Vision Inspection Systems Market Outlook, By Pharmaceuticals (2023-2034) ($MN)

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