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市場調查報告書
商品編碼
1636680
2030 年機器視覺市場預測:按組件類型、相機類型、部署模式、應用、最終用戶和地區進行的全球分析Machine Vision Market Forecasts to 2030 - Global Analysis By Component Type (Hardware, Software and Other Component Types), Camera Type, Deployment Mode, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球機器視覺市場預計在 2024 年達到 117 億美元,到 2030 年將達到 204 億美元,預測期內的複合年成長率為 9.7%。
機器視覺是一門技術領域,它使電腦和機器能夠透過攝影機和感測器解釋和處理視覺訊息。擷取影像和影片,然後使用演算法進行分析,以檢測、識別和回應物體、模式和特定特徵。該技術廣泛應用於製造業、機器人、品管和醫學影像處理,以實現任務自動化、確保準確性並提高效率。透過模仿人類視覺,機器視覺系統使機器能夠即時根據視覺資料做出決策。
根據韓國國土交通省發布的報告,2022年韓國註冊的電動車數量將達到約39萬輛,較2013年大幅增加。加上混合混合動力汽車汽車和氫動力汽車,環保汽車約佔韓國註冊車輛總數的6.2%。
自動化需求不斷成長
整體行業對更高效率、準確性和成本效益的需求推動了自動化市場需求的不斷成長。自動化減少了人為錯誤,提高了生產速度並確保了一致的品管,尤其是在製造業和工業領域。隨著企業努力提高生產力和精度,機器視覺系統擴大融入自動化流程中,推動了該技術在全球範圍內的廣泛應用。
實施的複雜性
部署機器視覺系統的複雜性為市場帶來了重大挑戰。高昂的實施成本、對專業知識的需求以及與現有流程的整合通常阻礙了中小型企業採用這項技術。此外,複雜的設定和校準可能會導致部署時間過長、系統錯誤的可能性以及維護需求的增加。這些因素阻礙了機器視覺的廣泛應用並限制了其在各個行業中的潛力。
對品質和安全的需求不斷增加
市場對品質和安全的需求日益成長,源自於各行各業對精確檢查、缺陷檢測和遵守嚴格標準的需求。機器視覺系統透過自動化品管、識別缺陷和預防危險來幫助確保產品品質和安全的工作環境。這一趨勢在製造業、汽車業和醫療保健業尤為明顯,在這些行業中,保持品質和安全對於業務成功和合規至關重要。
初期投資高
機器視覺系統所需的高額初始投資對許多企業,尤其是中小型企業來說是一個巨大的障礙。攝影機、感測器、軟體和整合價格昂貴,只有財力雄厚的公司才能負擔得起。此類前期投資的財務負擔可能會減緩採用速度,阻礙機器視覺市場的成長,並阻止許多組織實現自動化和加強品管的潛在好處。
新冠肺炎疫情以多種方式影響了市場。雖然它擾亂了供應鏈並延遲了計劃交付,但它也加速了製造業、醫療保健和物流等行業對自動化和非接觸式技術的採用。對效率、安全和社交距離的日益關注,促使企業投資於用於品管、監控和遠端操作的機器視覺系統,從而推動疫情後的市場復甦。
預計在預測期內,線掃描相機市場將佔據最大的佔有率。
由於線掃描相機能夠以單線方式捕捉移動物體的高解析度影像,預計在預測期內將佔據最大的市場佔有率。這些相機非常適合製造、包裝和印刷行業的捲筒檢查、分類和表面缺陷檢測等應用。它提供詳細、連續且失真最小的影像,這對於快速、精確的品管和自動化流程至關重要。
預測期內,農業領域預計將以最高複合年成長率成長
預計預測期內農業領域將以最高的複合年成長率成長。在農業領域,機器視覺系統用於作物監測、疾病檢測、雜草識別和產量估計。透過提供即時洞察,這些系統有助於最佳化資源利用率、降低成本並提高作物品質。隨著對永續和高效農業方法的需求不斷增加,機器視覺在提高農業生產力和決策方面發揮關鍵作用。
由於汽車、製造和醫療保健等行業對自動化、品管和技術進步的需求不斷增加,預計北美將在預測期內佔據最大的市場佔有率。該地區擁有強大的工業基礎、高度採用創新技術以及對效率和精準度的日益重視。此外,美國和加拿大的主要企業正在透過持續的產品創新和策略夥伴關係關係推動市場擴張。
預計亞太地區將在預測期內實現最高成長率。製造業,尤其是汽車、電子和消費品產業的自動化趨勢日益增強,是主要促進因素。將 AI 和 ML 整合到機器視覺系統中可增強其執行複雜任務的能力,例如模式識別、缺陷偵測和預測性維護。此外,該公司正在增加對機器人、自動駕駛汽車和檢查系統的機器視覺解決方案的投資。
According to Stratistics MRC, the Global Machine Vision Market is accounted for $11.7 billion in 2024 and is expected to reach $20.4 billion by 2030 growing at a CAGR of 9.7% during the forecast period. Machine vision is a field of technology that enables computers or machines to interpret and process visual information, typically through cameras or sensors. It involves capturing images or videos and analyzing them using algorithms to detect, identify, and respond to objects, patterns, or specific features. This technology is widely used in various industries, including manufacturing, robotics, quality control, and medical imaging, to automate tasks, ensure accuracy, and enhance efficiency. By mimicking human vision, machine vision systems enable machines to make decisions based on visual data in real-time.
According to a report published by the Ministry of Land, Infrastructure and Transport (South Korea), around 390 thousand electric vehicles were registered in South Korea in 2022, with a sharp increase recorded after 2013. Together with hybrid and hydrogen vehicles, the share of environment-friendly vehicles among the total number of registered vehicles in South Korea was about 6.2%.
Increased demand for automation
The growing demand for automation in the market is driven by the need for improved efficiency, accuracy, and cost-effectiveness across industries. Automation reduces human error, enhances production speed, and ensures consistent quality control, particularly in manufacturing and industrial sectors. As businesses strive for higher productivity and precision, machine vision systems are increasingly integrated into automated processes, leading to significant growth in the adoption of this technology globally.
Complexity of implementation
The complexity of implementing machine vision systems can pose significant challenges in the market. High installation costs, the need for specialized knowledge, and integration with existing processes often deter smaller companies from adopting the technology. Additionally, the complexity of setup and calibration can lead to longer deployment times, potential system errors, and increased maintenance requirements. These factors can hinder the widespread adoption and limit the full potential of machine vision in various industries.
Growing demand for quality and safety
The rising demand for quality and safety in the market is fueled by the need for precise inspection, defect detection, and adherence to stringent standards across various industries. Machine vision systems help ensure high-quality products and safe working environments by automating quality control, identifying defects, and preventing hazards. This trend is particularly prominent in manufacturing, automotive, and healthcare sectors, where maintaining quality and safety is critical for operational success and compliance.
High initial investment
The high initial investment required for machine vision systems can be a major barrier for many businesses, especially small and medium-sized enterprises. The cost of cameras, sensors, software, and integration can be substantial, limiting accessibility to only well-funded companies. This upfront financial burden can delay adoption and hinder the growth of the machine vision market, preventing many organizations from realizing the potential benefits of automation and enhanced quality control.
The COVID-19 pandemic had a mixed impact on the market. While it disrupted supply chains and delayed project implementations, it also accelerated the adoption of automation and contactless technologies in industries like manufacturing, healthcare, and logistics. The increased focus on efficiency, safety, and social distancing pushed businesses to invest in machine vision systems for quality control, monitoring, and remote operations, leading to a post-pandemic market recovery.
The line scan cameras segment is expected to be the largest during the forecast period
The line scan cameras segment is anticipated to account for the largest market share during the projection period due to their ability to capture high-resolution images of moving objects in a single line. These cameras are ideal for applications like web inspection, sorting, and surface defect detection in industries such as manufacturing, packaging, and printing. Their ability to provide detailed, continuous imaging with minimal distortion makes them essential for high-speed, high-accuracy quality control and automation processes.
The agriculture segment is expected to have the highest CAGR during the forecast period
The agriculture segment is expected to have the highest CAGR during the extrapolated period. In agriculture, machine vision systems are used for crop monitoring, disease detection, weed identification, and yield estimation. These systems help optimize resource usage, reduce costs, and enhance crop quality by providing real-time insights. As the demand for sustainable and efficient farming practices grows, machine vision plays a crucial role in improving productivity and decision-making in agriculture.
North America region is anticipated to account for the largest market share during the forecast period due to increasing automation, demand for quality control, and technological advancements across industries like automotive, manufacturing, and healthcare. The region benefits from a strong industrial base, high adoption of innovative technologies, and a growing focus on efficiency and precision. Additionally, key players in the U.S. and Canada are driving market expansion through continuous product innovation and strategic partnerships.
Asia Pacific is expected to register the highest growth rate over the forecast period. The increasing trend toward automation in manufacturing industries, particularly in automotive, electronics, and consumer goods, is a major driver. The integration of AI and ML with machine vision systems enhances their ability to perform complex tasks, such as pattern recognition, defect detection, and predictive maintenance. Additionally, Companies are increasingly investing in machine vision solutions for robotics, autonomous vehicles, and inspection systems.
Key players in the market
Some of the key players in Machine Vision market include Zebra Technologies, Cognex Corporation, Keyence Corporation, Basler AG, Omron Corporation, Teledyne Technologies, National Instruments, Sony Corporation, SICK AG, Banner Engineering, Allied Vision Technologies, ABB Ltd., Panasonic Corporation, KUKA AG, Toshiba Teli Corporation, Datalogic S.p.A. and DENSO Corporation.
In July 2024, Kayence, a leading machine system and component manufacturer, launched its all-in-one 3D inspection system, the 3D laser snapshot sensor LJ-S8000 series, with a building scanning mechanism. It has versatile applications in 3D dimensional measurement, 3D appearance inspection, and 3D identification and differentiation.
In March 2024, Cognex, a prominent industrial MV System supplier, extended its product portfolio with a modern vision tunnel featuring a DataMan 380 barcode reader. The 380 modular vision offers high throughput and traceability with a 380 barcode reader and robust system architecture.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.