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市場調查報告書
商品編碼
1914604
機器視覺市場 - 全球產業規模、佔有率、趨勢、機會及預測(按組件、類型、產品類型、部署類型、應用、垂直產業、地區和競爭格局分類),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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全球機器視覺市場預計將從2025年的229.9億美元成長到2031年的431.9億美元,複合年成長率(CAGR)為11.08%。機器視覺是指將光學硬體和影像處理軟體結合,以模擬人類視覺感知,用於自動化檢測和製程控制等任務的系統。市場成長的主要驅動力包括:製造業對高精度品質保證的需求不斷成長;製藥和食品行業對非接觸式缺陷檢測的需求;以及將自動化影像處理整合到生產線中帶來的效率提升。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 229.9億美元 |
| 市場規模:2031年 | 431.9億美元 |
| 複合年成長率:2026-2031年 | 11.08% |
| 成長最快的細分市場 | 硬體 |
| 最大的市場 | 北美洲 |
市場成長的主要障礙在於將先進的視覺組件整合到現有工業基礎設施中的複雜性,這往往會延緩投資決策。近期產業指標也印證了這個挑戰:德國機械設備製造業聯合會(VDMA)預測,到2025年,德國機器視覺子部門的營收將達到31億歐元,年成長為零。這種停滯凸顯了可能暫時抑制產業關鍵領域銷售量的財務阻力和技術障礙。
將人工智慧 (AI) 和深度學習技術融入視覺系統,正在改變市場格局,使非結構化環境中的缺陷檢測成為可能,而傳統的基於規則的演算法則難以勝任。製造商擴大使用深度學習神經網路來識別複雜的表面異常和各種產品幾何形狀,其精度可與人工檢測相媲美。產業數據也支持這項技術變革。根據羅克韋爾自動化公司 2024 年 4 月發布的《智慧製造現狀報告》,品管將成為 2024 年 AI 和機器學習的主要應用領域,這標誌著系統正朝著自適應、自我最佳化的方向發展,同時降低了複雜品管任務的准入門門檻。
同時,視覺引導機器人和自主系統的興起正發揮關鍵的催化作用,推動機器視覺的應用範圍從靜態偵測擴展到動態組裝和物料輸送。視覺感測器如今使工業機器人能夠即時執行諸如揀選料箱和零件組裝等複雜任務。根據德國機械設備製造業聯合會(VDMA)發布的2024年10月機器視覺產業分析報告,機器人和自動化組裝應用將佔機器視覺總收入的23%。儘管該行業受到經濟波動的影響,例如康耐視(Cognex)報告稱,由於消費者謹慎支出,其2023年的收入下降了17%,但視覺協作機器人(cobot)的長期應用仍然是市場復甦的結構性驅動力。
將先進視覺組件整合到現有工業基礎設施中的複雜性是限制全球機器視覺市場成長的主要障礙。製造商在對傳統生產線進行改造,以配備最新的光學硬體和先進的處理軟體時,經常面臨巨大的技術挑戰。這種整合過程通常需要專業的工程知識,並且會造成運作,從而增加風險感知,並阻礙企業即時進行資本投資。因此,決策者會延長評估階段或延後實施,導致採用率低落。
由於企業不願進行複雜的系統升級,導致該產業出現明顯的財務萎縮。這些技術壁壘迫使企業延後現代化進程,直接影響了收入來源。近期業績數據也印證了這個結果:根據德國機械設備製造業聯合會(VDMA)預測,2024年歐洲機器視覺產業的名目收入預計將比上年下降10%。這些數據表明,整合難題直接導致需求疲軟,並限制了市場擴張。
對於傳統上依賴工廠自動化的機器視覺供應商而言,向物流和農業等非工業領域的擴張正在實現收入來源多元化。電子商務交易量的快速成長正推動物流中心採用基於視覺的系統,用於自動化分類、小包裹尺寸測量、庫存管理以及其他需要高速、多樣化產品識別的任務。這種轉變使得該產業對製造業經濟週期的依賴性降低,這一趨勢在康耐視2025年2月發布的報告中有所體現。該報告預測,2024年該產業年營收將成長9%,主要得益於物流業務領域的持續成長。
此外,3D機器視覺技術的廣泛應用正在提升產業的體積分析和深度感知能力,克服了2D影像處理的限制。與標準相機不同,3D系統能夠產生點雲,從而實現對不規則形狀的精確測量,並可靠地偵測物體幾何形狀,不受光照或對比條件的影響。這項技術進步正在推動對先進智慧視覺平台的需求,TKH集團在2025年3月發布的公告印證了這一點。公告顯示,作為公司3D視覺產品組合核心的智慧視覺系統事業部,在2024年第四季實現了8.5%的有機銷售成長。
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: