![]() |
市場調查報告書
商品編碼
1662594
機器視覺系統市場預測至 2030 年:按產品類型、組件、技術、應用、最終用戶和地區進行的全球分析Machine Vision Systems Market Forecasts to 2030 - Global Analysis By Product Type, Component, Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球機器視覺系統市場預計在 2024 年達到 128 億美元,到 2030 年將達到 212 億美元,預測期內的複合年成長率為 8.7%。
使用攝影機、感測器和軟體來分析和解釋周圍環境的視覺資料的自動化系統被稱為機器視覺系統。它們經常用於引導機械臂、檢查產品以及發現製造和品管中的缺陷。這些系統提供的即時影像處理使分類、測量和物體識別等任務具有精確度、速度和準確性。在各行各業中,機器視覺對於提高產量、減少錯誤和提高業務效率至關重要。
索尼半導體解決方案公司宣布計劃將其 CMOS 影像感測器產能提高每月 60,000 片晶圓。
自動化需求不斷成長
製造業、汽車業和電子業等領域對工業自動化的日益重視正在推動機器視覺系統市場的發展。這些系統透過實現即時品管、缺陷檢測和流程最佳化來提高生產效率。由於機器視覺技術減少了人工工作、提高了準確性並簡化了工作流程,工業 4.0 和智慧工廠的採用將進一步加速需求。由於人工智慧和深度學習的進步,機器視覺系統擴大被整合到機器人和物聯網設備中,使其成為現代自動化操作必不可少的。
熟練勞動力有限
這些先進的系統需要程式設計、影像處理和系統整合的專業知識,而許多製造設備都缺乏這些專業知識。高昂的培訓成本和技術複雜性進一步加劇了這個問題。尤其是中小型企業,由於培訓人員資源有限,難以採用機器視覺解決方案,導致採用速度緩慢。
汽車工業的成長
不斷擴張的汽車產業為機器視覺系統市場帶來了巨大的機會。這些系統對於組裝檢驗、缺陷檢測和零件識別等品質保證流程至關重要。電動車(EV)和自動駕駛技術的興起將進一步推動對能夠確保精密製造的先進視覺系統的需求。此外,汽車公司對智慧製造設施的投資不斷增加,推動了機器視覺解決方案的採用。
與傳統測試方法的競爭
傳統的檢查方法,例如手動品質檢查和簡單的自動化系統,對先進機器視覺技術的採用構成了威脅。由於前期成本低且易於實施,許多產業繼續依賴這些方法。對變革的抵制和對整合新技術的複雜性的擔憂也加劇了這一挑戰,限制了機器視覺系統的成長潛力。
COVID-19 疫情最初擾亂了機器視覺市場,因為它擾亂了全球供應鏈並減緩了製造業活動。然而,此次危機期間對非接觸式操作的需求加速了醫療保健和物流等產業對自動化的採用。機器視覺技術擴大被應用於遠端監控和關鍵領域的品管等應用。這種轉變凸顯了自動化在生產中斷期間的彈性的重要性,並提升了市場的長期成長前景。
預計在預測期內,基於 PC 的機器視覺系統部分將成長至最大的部分。
基於 PC 的機器視覺系統領域預計將在預測期內佔據最大的市場佔有率,因為它具有卓越的處理能力和處理缺陷檢測和組裝檢驗等複雜任務的靈活性。這些系統廣泛應用於需要快速資料分析和客製化選項的行業。它可以輕鬆整合到現有的生產線中,適合大規模製造業務。處理能力和軟體功能的持續進步進一步鞏固了其作為市場領先領域的地位。
預計預測期內軟體產業將以最高的複合年成長率成長。
由於人工智慧演算法和深度學習技術的進步,軟體產業預計將在預測期內呈現最高的成長率。這些創新實現了更精確的影像處理和模式識別,擴大了醫療、汽車和電子等產業的應用。對使用者友善介面和可自訂解決方案的需求不斷成長也推動了軟體的採用。隨著各行各業優先考慮更智慧的自動化解決方案,軟體正在成為提高機器視覺系統效能的關鍵組成部分。
在預測期內,由於中國、日本和韓國等國家擁有強大的製造業基礎,預計亞太地區將佔據最大的市場佔有率。該地區的優勢在於機器視覺系統在電子生產、汽車組裝和半導體製造領域的廣泛應用。政府鼓勵採用工業 4.0 的措施進一步推動了市場成長。由於主要企業大力投資研發,亞太地區處於機器視覺技術進步的前沿。
在預測期內,由於印度和東南亞等新興經濟體的快速工業化和自動化程度的提高,預計亞太地區將呈現最高的複合年成長率。對智慧工廠的投資不斷增加以及對品管解決方案的需求不斷成長正在推動該地區的成長。汽車、電子和醫療等行業的擴張進一步刺激了該地區對先進機器視覺系統的需求。
According to Stratistics MRC, the Global Machine Vision Systems Market is accounted for $12.8 billion in 2024 and is expected to reach $21.2 billion by 2030 growing at a CAGR of 8.7% during the forecast period. Automated systems that analyze and interpret visual data from the surroundings using cameras, sensors, and software are known as machine vision systems. They are frequently used to guide robotic arms, inspect products, and find flaws in manufacturing and quality control. Real-time image processing by these systems enables high accuracy, speed, and precision in tasks like sorting, measurement, and object recognition. In many different industries, machine vision is essential for increasing output, decreasing errors, and boosting operational effectiveness.
According to Sony Semiconductor Solutions has announced plans to boost its CMOS image sensor production capacity by 60,000 wafers per month.
Increased demand for automation
The growing emphasis on industrial automation across sectors such as manufacturing, automotive, and electronics drives the machine vision systems market. These systems enhance production efficiency by enabling real-time quality control, defect detection, and process optimization. The adoption of Industry 4.0 and smart factories further accelerates demand, as machine vision technologies reduce manual intervention, improve accuracy, and streamline workflows. With advancements in AI and deep learning, machine vision systems are increasingly integrated into robotics and IoT devices, making them indispensable for modern automated operations.
Limited skilled workforce
These advanced systems require expertise in programming, image processing, and system integration, which many manufacturing units lack. High training costs and the complexity of the technology further exacerbate this issue. Small- to medium-sized enterprises (SMEs) particularly struggle to adopt machine vision solutions due to limited resources for workforce development, slowing widespread adoption.
Growth in the automotive industry
The expanding automotive sector presents lucrative opportunities for the machine vision systems market. These systems are integral to quality assurance processes such as assembly verification, defect detection, and component identification. The rise of electric vehicles (EVs) and autonomous driving technologies further boosts demand for advanced vision systems capable of ensuring precision manufacturing. Additionally, increased investments in smart manufacturing facilities by automotive companies drive the adoption of machine vision solutions.
Competition from traditional inspection methods
Traditional inspection methods, such as manual quality checks or simpler automated systems, pose a threat to the adoption of advanced machine vision technologies. Many industries continue to rely on these methods due to their lower initial costs and ease of implementation. Resistance to change and concerns over the complexity of integrating new technologies also contribute to this challenge, limiting the growth potential of machine vision systems.
The COVID-19 pandemic disrupted global supply chains and delayed manufacturing activities, initially hampering the machine vision market. However, the need for contactless operations during the crisis accelerated automation adoption in industries such as healthcare and logistics. Machine vision technologies were increasingly deployed for applications like remote monitoring and quality control in essential sectors. This shift highlighted the importance of automation resilience during disruptions, fostering long-term growth prospects for the market.
The pc-based machine vision systems segment is expected to be the largest during the forecast period
The pc-based machine vision systems segment is expected to account for the largest market share during the forecast period due to its superior processing capabilities and flexibility in handling complex tasks like defect detection and assembly verification. These systems are widely used in industries requiring high-speed data analysis and customization options. Their ability to integrate with existing production lines makes them a preferred choice for large-scale manufacturing operations. Continuous advancements in processing power and software capabilities further solidify their position as a leading segment in the market.
The software segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the software segment is predicted to witness the highest growth rate owing to advancements in AI-driven algorithms and deep learning technologies. These innovations enable more precise image processing and pattern recognition, expanding applications across industries such as healthcare, automotive, and electronics. The increasing demand for user-friendly interfaces and customizable solutions also drives software adoption. As industries prioritize smarter automation solutions, software emerges as a critical component for enhancing machine vision system performance.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to its robust manufacturing base in countries like China, Japan, and South Korea. The region's dominance is driven by extensive use of machine vision systems in electronics production, automotive assembly lines, and semiconductor manufacturing. Government initiatives promoting Industry 4.0 adoption further boost market growth. The presence of key players investing heavily in R&D ensures Asia Pacific remains at the forefront of technological advancements in machine vision.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid industrialization and increasing automation adoption across emerging economies like India and Southeast Asia. Growing investments in smart factories and rising demand for quality control solutions drive regional growth. The expansion of industries such as automotive, electronics, and healthcare further accelerates demand for advanced machine vision systems in this region.
Key players in the market
Some of the key players in Machine Vision Systems Market include Allied Vision Technologies GmbH, Basler AG, Baumer Optronic GmbH, Canon Inc., Cognex Corporation, FLIR Systems Inc., Intel Corporation, IDS Imaging Development Systems GmbH, ISRA Vision AG, Keyence Corporation, National Instruments Corporation, Omron Corporation, Sick AG, Sony Corporation, Teledyne Technologies Inc., Texas Instruments Incorporated, TKH Group NV and Toshiba Corporation.
In January 2025, SICK, an international provider of sensor-based automation solutions headquartered in Germany, and the Swiss measurement technology specialist Endress+Hauser are starting their strategic partnership for process automation. Both companies are joining forces to better support their customers and advance new technological solutions for the decarbonization of the process industry. Customers will now benefit from a broader product portfolio distributed from a single source via the global Endress+Hauser Sales Centers. The joint venture "Endress+Hauser SICK GmbH+Co. KG" will strengthen the development and production of analyzer and gas flow meter technologies, expanding the solution offerings.
In April 2024, Cognex Corporation, the leader in industrial machine vision released the In-Sight(R) L38 3D Vision System, which combines AI, 2D, and 3D vision technologies to solve a range of inspection and measurement applications. The system creates unique projection images that combine 3D information into an easy-to-label 2D image for simplified training and reveals features not visible with traditional 2D imaging. AI tools detect variable or undefined features, while rule-based algorithms provide 3D measurements to deliver reliable inspection results.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.