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市场调查报告书
商品编码
1914604
机器视觉市场 - 全球产业规模、份额、趋势、机会及预测(按组件、类型、产品类型、部署类型、应用、垂直产业、地区和竞争格局划分),2021-2031年Machine Vision Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Type, By Product Type, By Deployment Type, By Application, By Vertical, By Region & Competition, 2021-2031F |
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全球机器视觉市场预计将从2025年的229.9亿美元成长到2031年的431.9亿美元,复合年增长率(CAGR)为11.08%。机器视觉是指将光学硬体和影像处理软体结合,以模拟人类视觉感知,用于自动化检测和製程控制等任务的系统。市场成长的主要驱动力包括:製造业对高精度品质保证的需求不断增长;製药和食品行业对非接触式缺陷检测的需求;以及将自动化影像处理整合到生产线中带来的效率提升。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 229.9亿美元 |
| 市场规模:2031年 | 431.9亿美元 |
| 复合年增长率:2026-2031年 | 11.08% |
| 成长最快的细分市场 | 硬体 |
| 最大的市场 | 北美洲 |
市场成长的主要障碍在于将先进的视觉组件整合到现有工业基础设施中的复杂性,这往往会延缓投资决策。近期产业指标也印证了这个挑战:德国机械设备製造业联合会(VDMA)预测,到2025年,德国机器视觉子部门的营收将达到31亿欧元,年成长为零。这种停滞凸显了可能暂时抑制产业关键领域销售量的财务阻力和技术障碍。
将人工智慧 (AI) 和深度学习技术融入视觉系统,正在改变市场格局,使非结构化环境中的缺陷检测成为可能,而传统的基于规则的演算法则难以胜任。製造商越来越多地使用深度学习神经网路来识别复杂的表面异常和各种产品几何形状,其精度可与人工检测相媲美。产业数据也支持这项技术变革。根据罗克韦尔自动化公司 2024 年 4 月发布的《智慧製造现状报告》,品管将成为 2024 年 AI 和机器学习的主要应用领域,这标誌着系统正朝着自适应、自我优化的方向发展,同时降低了复杂品管任务的准入门门槛。
同时,视觉引导机器人和自主系统的兴起正发挥关键的催化作用,推动机器视觉的应用范围从静态侦测扩展到动态组装和物料输送。视觉感测器如今使工业机器人能够即时执行诸如拣选料箱和零件组装等复杂任务。根据德国机械设备製造业联合会(VDMA)发布的2024年10月机器视觉产业分析报告,机器人和自动化组装应用将占机器视觉总收入的23%。儘管该行业受到经济波动的影响,例如康耐视(Cognex)报告称,由于消费者谨慎支出,其2023年的收入下降了17%,但视觉协作机器人(cobot)的长期应用仍然是市场復苏的结构性驱动力。
将先进视觉组件整合到现有工业基础设施中的复杂性是限制全球机器视觉市场成长的主要障碍。製造商在对传统生产线进行改造,以配备最新的光学硬体和先进的处理软体时,经常面临巨大的技术挑战。这种整合过程通常需要专业的工程知识,并且会造成运作,从而增加风险感知,并阻碍企业即时进行资本投资。因此,决策者会延长评估阶段或延后实施,导致采用率低落。
由于企业不愿进行复杂的系统升级,导致该产业出现明显的财务萎缩。这些技术壁垒迫使企业延后现代化进程,直接影响了收入来源。近期业绩数据也印证了这个结果:根据德国机械设备製造业联合会(VDMA)预测,2024年欧洲机器视觉产业的名目收入预计将比上年下降10%。这些数据表明,整合难题直接导致需求疲软,并限制了市场扩张。
对于传统上依赖工厂自动化的机器视觉供应商而言,向物流和农业等非工业领域的扩张正在实现收入来源多元化。电子商务交易量的快速成长正推动物流中心采用基于视觉的系统,用于自动化分类、小包裹尺寸测量、库存管理以及其他需要高速、多样化产品识别的任务。这种转变使得该产业对製造业经济週期的依赖性降低,这一趋势在康耐视2025年2月发布的报告中有所体现。该报告预测,2024年该产业年营收将成长9%,主要得益于物流业务领域的持续成长。
此外,3D机器视觉技术的广泛应用正在提升产业的体积分析和深度感知能力,克服了2D影像处理的限制。与标准相机不同,3D系统能够产生点云,从而实现对不规则形状的精确测量,并可靠地侦测物体几何形状,不受光照或对比条件的影响。这项技术进步正在推动对先进智慧视觉平台的需求,TKH集团在2025年3月发布的公告印证了这一点。公告显示,作为公司3D视觉产品组合核心的智慧视觉系统事业部,在2024年第四季实现了8.5%的有机销售成长。
The Global Machine Vision Market is projected to expand from a valuation of USD 22.99 Billion in 2025 to USD 43.19 Billion by 2031, registering a CAGR of 11.08%. Machine vision encompasses systems that combine optical hardware with image processing software to replicate human visual perception for tasks such as automated inspection and process control. The market's growth is primarily fueled by the increasing requirement for high-precision quality assurance in manufacturing and the need for contactless defect detection within the pharmaceutical and food industries, alongside the efficiency gains achieved by integrating automated imaging into production lines.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 22.99 Billion |
| Market Size 2031 | USD 43.19 Billion |
| CAGR 2026-2031 | 11.08% |
| Fastest Growing Segment | Hardware |
| Largest Market | North America |
A significant obstacle hindering market growth is the complexity involved in integrating advanced vision components into established industrial infrastructure, which frequently delays investment decisions. This challenge is evident in recent industry metrics; the VDMA Robotics and Automation Association projects that the German machine vision subsector will generate revenues of 3.1 billion euros in 2025, showing zero growth compared to the prior year. This stagnation highlights the financial headwinds and technical barriers that can temporarily suppress sales volumes in key segments of the industry.
Market Driver
The incorporation of Artificial Intelligence and Deep Learning into vision systems is transforming the market by facilitating defect detection in unstructured environments where conventional rule-based algorithms are insufficient. Manufacturers are increasingly utilizing deep learning neural networks to classify complex surface anomalies and variable product forms with a consistency comparable to human inspection. This technological evolution is supported by industry data; according to Rockwell Automation's 'State of Smart Manufacturing Report' from April 2024, quality control was identified as the primary use case for artificial intelligence and machine learning in 2024, indicating a shift towards adaptive systems that self-optimize and lower entry barriers for complex quality tasks.
Simultaneously, the rise of Vision-Guided Robotics and Autonomous Systems is acting as a major catalyst, extending machine vision applications from static inspection to dynamic assembly and material handling. Vision sensors now empower industrial robots to execute intricate tasks like bin picking and component mating in real-time. A VDMA Machine Vision sector analysis in October 2024 noted that robotics and automated assembly applications comprised 23% of total machine vision sales. Although the sector faces economic fluctuations, evidenced by Cognex Corporation's reported 17% revenue decline in 2023 due to cautious spending, the long-term adoption of vision-equipped cobots remains a structural driver for market recovery.
Market Challenge
The substantial complexity associated with integrating advanced vision components into existing industrial infrastructure serves as a major barrier to the growth of the global machine vision market. Manufacturers frequently face significant technical hurdles when retrofitting legacy production lines with modern optical hardware and sophisticated processing software. This integration process typically requires specialized engineering expertise and necessitates operational downtime, creating a perception of risk that deters immediate capital expenditure and leads decision-makers to prolong evaluation phases or delay implementation, thereby reducing the rate of adoption.
This reluctance to commit to complex system upgrades results in measurable financial contraction for the sector. As companies delay modernization efforts due to these technical barriers, revenue streams suffer a direct impact. This consequence is supported by recent performance data; according to the VDMA, the European machine vision industry was forecast to record a 10 percent decline in nominal sales in 2024 compared to the previous year. These figures underscore how integration difficulties translate directly into dampened demand and constrained market expansion.
Market Trends
The expansion into non-industrial sectors such as Logistics and Agriculture is diversifying revenue sources for machine vision vendors that have traditionally relied on factory automation. With the surge in e-commerce volumes, distribution centers are aggressively implementing vision-enabled systems for automated sorting, parcel dimensioning, and inventory management, tasks that involve identifying high-velocity, variable goods. This shift reduces the sector's exposure to manufacturing cycles, a trend reflected in Cognex Corporation's February 2025 report, which noted a 9 percent annual revenue increase in 2024, driven largely by sustained momentum in its Logistics business sector.
Additionally, the widespread adoption of 3D Machine Vision Technology is enhancing the industry's ability to perform volumetric analysis and depth perception, overcoming the limitations of two-dimensional imaging. Unlike standard cameras, 3D systems produce point clouds that enable precise measurement of irregular shapes and reliable inspection of object geometry, regardless of lighting or contrast conditions. This technological advancement is fueling demand for advanced smart vision platforms, as evidenced by the TKH Group's March 2025 presentation, which reported an 8.5 percent organic turnover increase in the Smart Vision systems segment, which anchors their 3D vision portfolio, during the fourth quarter of 2024.
Report Scope
In this report, the Global Machine Vision Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Machine Vision Market.
Global Machine Vision Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: