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市場調查報告書
商品編碼
1857003
全球機器視覺系統市場:預測至 2032 年—按組件、類型、部署方式、尺寸、應用、最終用戶和地區進行分析Machine Vision Systems Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software, Services and Other Components), Type, Deployment, Dimension, Application, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2025 年,全球機器視覺系統市場規模將達到 228 億美元,到 2032 年將達到 508 億美元,預測期內複合年成長率為 12.1%。
機器視覺系統是一種自動化技術,它能夠收集、處理和分析視覺數據,從而指導工業運作、品管和決策。這些系統整合了攝影機、感測器和影像處理演算法,可即時偵測模式、測量尺寸並識別缺陷。機器視覺系統廣泛應用於製造業、機器人技術和檢測任務中,能夠提高精確度、速度和一致性。透過將視覺輸入轉化為可執行的洞察,機器視覺實現了智慧自動化,從而在最大限度減少人工干預的情況下支援高吞吐量環境。
工業4.0和智慧工廠加速了機器視覺技術的應用。
工業4.0的興起和智慧工廠的普及正顯著推動機器視覺系統的應用。這些技術能夠實現生產線的自動化檢測、即時監控和精準控制。隨著工業運作數位化,機器視覺為預測性維護和品質保證提供了支援。與人工智慧和物聯網平台的整合使系統更加智慧、反應更迅速。這種轉變正在將傳統的生產環境轉變為數據驅動的生態系統,從而加速了對先進視覺解決方案的需求。
與傳統基礎設施系統整合的複雜性
老舊設備通常與現代視覺硬體和軟體不相容,需要進行成本高昂的改造或更換。此外,系統校準和客製化需要專業人員,增加了操作的複雜性。光照條件不穩定、產品幾何形狀各異以及環境因素進一步加劇了部署的難度。這些整合障礙會延緩部署週期並降低投資報酬率,尤其對於中小企業而言更是如此。
醫學和診斷領域影像處理和機器人手術的擴展
機器視覺在醫療保健和診斷領域正日益普及,尤其是在機器人手術、影像處理和病理自動化方面。視覺引導系統正被用於提高手術精確度、檢測醫學掃描中的異常情況以及簡化檢查流程。對微創手術和人工智慧輔助診斷日益成長的需求,正為視覺技術開闢新的發展道路。醫院和研究機構正在投資智慧成像平台,以改善患者預後並提高營運效率。預計這一趨勢將推動市場規模顯著擴張,超越傳統的工業應用領域。
科技快速過時和產品生命週期短
機器視覺市場面臨快速技術創新和產品生命週期短所帶來的風險。硬體規格和軟體功能的頻繁更新可能導致現有系統在幾年內過時。企業必須持續投入研發才能保持競爭力,這使其資源捉襟見肘。此外,感測器融合和邊緣人工智慧等新興技術有可能顛覆傳統的視覺架構。市場分散和技術創新的快速發展也對標準化和系統的長期相容性構成挑戰。
疫情對機器視覺系統市場產生了雙重影響:一方面擾亂了供應鏈,另一方面加速了自動化技術的普及。早期封鎖導致零件採購和系統安裝延誤,影響了計劃進度。然而,對非接觸式操作和遠端監控的需求推動了物流、製藥和食品加工等行業對視覺自動化技術的需求。製造商優先投資智慧檢測工具,以在受限條件下維持生產效率。
預計在預測期內,硬體板塊將成為最大的板塊。
預計在預測期內,硬體領域將佔據最大的市場佔有率,因為它在視覺系統結構中扮演著至關重要的角色。攝影機、感測器和照明模組等組件對於影像擷取和處理至關重要。解析度、影格速率和耐用性的不斷提升正在推動整個產業的升級。硬體創新也支援與人工智慧晶片和邊緣運算平台的整合,從而增強即時決策能力。隨著對高性能視覺系統需求的不斷成長,硬體仍然是市場擴張的基石。
預計在預測期內,基於PC的機器視覺系統細分市場將實現最高的複合年成長率。
預計在預測期內,基於PC的機器視覺系統細分市場將實現最高的成長率。這類系統支援複雜的演算法、多重攝影機配置,並可與企業軟體整合。各行業更傾向於使用基於PC的平台進行高速檢測、缺陷識別和數據分析。人工智慧視覺應用和可自訂軟體介面的興起,進一步推動了該細分市場的成長。
預計亞太地區將在預測期內佔據最大的市場佔有率,這主要得益於強勁的製造業活動和技術應用。中國、日本、韓國和印度等國家正大力投資工業自動化和智慧工廠專案。該地區擁有強大的電子和汽車產業基礎,從而推動了機器視覺技術的廣泛應用。政府激勵措施和基礎設施的改善也促進了市場成長。本地企業和全球原始設備製造商(OEM)正在擴大業務,以期在這個高潛力地區開拓市場。
預計亞太地區在預測期內將實現最高的複合年成長率,不斷上漲的人事費用和對精密製造的需求正推動企業採用基於視覺的自動化技術。該地區醫療保健和物流行業也呈現成長態勢,機器視覺正被應用於診斷和庫存管理。策略夥伴關係、研發投資和有利的法規環境正在促進技術創新。隨著數位轉型加速,亞太地區將持續引領機器視覺技術的發展。
According to Stratistics MRC, the Global Machine Vision Systems Market is accounted for $22.8 billion in 2025 and is expected to reach $50.8 billion by 2032 growing at a CAGR of 12.1% during the forecast period. Machine vision systems are automated technologies that capture, process, and analyze visual data to guide industrial operations, quality control, and decision-making. They integrate cameras, sensors, and image-processing algorithms to detect patterns, measure dimensions, and identify defects in real time. Commonly used in manufacturing, robotics, and inspection tasks, these systems enhance precision, speed, and consistency. By converting visual inputs into actionable insights, machine vision enables intelligent automation and supports high-throughput environments with minimal human intervention.
Industry 4.0 and smart factories accelerating adoption of machine vision
The rise of Industry 4.0 and the proliferation of smart factories are significantly boosting the adoption of machine vision systems. These technologies enable automated inspection, real-time monitoring, and precision control across manufacturing lines. As industrial operations become increasingly digitized, machine vision supports predictive maintenance and quality assurance. Integration with AI and IoT platforms further enhances system intelligence and responsiveness. This shift is transforming traditional production environments into data-driven ecosystems, accelerating demand for advanced vision solutions.
Complexity in system integration with legacy infrastructure
Older equipment often lacks compatibility with modern vision hardware and software, requiring costly retrofitting or replacements. Additionally, system calibration and customization demand skilled personnel, increasing operational complexity. Inconsistent lighting conditions, variable product shapes, and environmental factors further complicate deployment. These integration hurdles can delay implementation timelines and reduce ROI, especially for small and mid-sized enterprises.
Expansion in healthcare and diagnostics for imaging and robotic surgery
Machine vision is gaining traction in healthcare and diagnostics, particularly in robotic surgery, imaging, and pathology automation. Vision-guided systems are being used to enhance surgical precision, detect anomalies in medical scans, and streamline laboratory workflows. The growing demand for minimally invasive procedures and AI-assisted diagnostics is opening new avenues for vision technologies. Hospitals and research institutions are investing in smart imaging platforms to improve patient outcomes and operational efficiency. This trend is expected to drive significant market expansion beyond traditional industrial applications.
Rapid technological obsolescence and short product life cycles
The machine vision market faces risks from rapid technological turnover and short product lifecycles. Frequent updates in hardware specifications and software capabilities can render existing systems obsolete within a few years. Companies must continuously invest in R&D to stay competitive, which can strain resources. Additionally, emerging alternatives such as sensor fusion and edge AI may disrupt traditional vision architectures. Market fragmentation and fast-paced innovation also pose challenges for standardization and long-term system compatibility.
The pandemic had a dual impact on the machine vision systems market, disrupting supply chains while accelerating automation adoption. Initial lockdowns led to delays in component sourcing and system installations, affecting project timelines. However, the need for contactless operations and remote monitoring drove demand for vision-enabled automation in logistics, pharmaceuticals, and food processing. Manufacturers prioritized investments in smart inspection tools to maintain productivity under restricted conditions.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period due to its foundational role in vision system architecture. Components such as cameras, sensors, and lighting modules are essential for image acquisition and processing. Continuous advancements in resolution, frame rate, and durability are driving upgrades across industries. Hardware innovations also support integration with AI chips and edge computing platforms, enhancing real-time decision-making. As demand for high-performance vision systems grows, hardware remains the backbone of market expansion.
The PC-based machine vision systems segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the PC-based machine vision systems segment is predicted to witness the highest growth rate as these systems offer superior flexibility, scalability, and processing power compared to embedded alternatives. They support complex algorithms, multi-camera setups, and integration with enterprise software. Industries favor PC-based platforms for high-speed inspection, defect detection, and data analytics. The rise of AI-enabled vision applications and customizable software interfaces is further propelling growth in this segment.
During the forecast period, the Asia Pacific region is expected to hold the largest market share driven by robust manufacturing activity and technological adoption. Countries like China, Japan, South Korea, and India are investing heavily in industrial automation and smart factory initiatives. The region benefits from a strong electronics and automotive base, where machine vision is widely deployed. Government incentives and infrastructure development are also supporting market growth. Local players and global OEMs are expanding operations to tap into this high-potential region.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rising labor costs and demand for precision manufacturing are prompting companies to adopt vision-based automation. The region's expanding healthcare and logistics sectors are also embracing machine vision for diagnostics and inventory management. Strategic partnerships, R&D investments, and favorable regulatory environments are fueling innovation. As digital transformation accelerates, Asia Pacific remains the epicenter of machine vision evolution.
Key players in the market
Some of the key players in Machine Vision Systems Market include Cognex Corporation, Keyence Corporation, Basler AG, Omron Corporation, Teledyne Technologies Inc., National Instruments Corporation, Allied Vision Technologies GmbH, FLIR Systems, Intel Corporation, Sony Corporation, IDS Imaging Development Systems GmbH, JAI A/S, Tordivel AS, ISRA VISION AG, SICK AG, Hexagon AB, Stemmer Imaging AG, Matrox Imaging, Baumer Electric AG, and Microscan Systems Inc.
In October 2025, Basler acquired a 76% stake in Alpha TechSys Automation, its Indian distribution partner. This move strengthens Basler's direct business in India and expands its presence in emerging markets.
In September 2025, Keyence introduced four new systems: IM-X1000 (image dimension), SV3 (servo), SR-L (label code reader), and NR-X (data logger). These upgrades target precision measurement, high-speed labeling, and multi-input data logging. The launches reinforce Keyence's automation portfolio.
In June 2025, Cognex launched OneVision(TM), a cloud-based AI platform for building and scaling machine vision applications. It enables manufacturers to train models remotely and deploy them across production lines. This marks a shift toward cloud-native vision systems.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.