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市场调查报告书
商品编码
1662594
机器视觉系统市场预测至 2030 年:按产品类型、组件、技术、应用、最终用户和地区进行的全球分析Machine Vision Systems Market Forecasts to 2030 - Global Analysis By Product Type, Component, Technology, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球机器视觉系统市场预计在 2024 年达到 128 亿美元,到 2030 年将达到 212 亿美元,预测期内的复合年增长率为 8.7%。
使用摄影机、感测器和软体来分析和解释周围环境的视觉资料的自动化系统被称为机器视觉系统。它们经常用于引导机械臂、检查产品以及发现製造和品管中的缺陷。这些系统提供的即时影像处理使分类、测量和物体识别等任务具有精确度、速度和准确性。在各行各业中,机器视觉对于提高产量、减少错误和提高业务效率至关重要。
索尼半导体解决方案公司宣布计划将其 CMOS 影像感测器产能提高每月 60,000 片晶圆。
自动化需求不断成长
製造业、汽车业和电子业等领域对工业自动化的日益重视正在推动机器视觉系统市场的发展。这些系统透过实现即时品管、缺陷检测和流程优化来提高生产效率。由于机器视觉技术减少了人工工作、提高了准确性并简化了工作流程,工业 4.0 和智慧工厂的采用将进一步加速需求。由于人工智慧和深度学习的进步,机器视觉系统越来越多地被整合到机器人和物联网设备中,使其成为现代自动化操作必不可少的。
熟练劳动力有限
这些先进的系统需要程式设计、影像处理和系统整合的专业知识,而许多製造设备都缺乏这些专业知识。高昂的培训成本和技术复杂性进一步加剧了这个问题。尤其是中小型企业,由于培训人员资源有限,难以采用机器视觉解决方案,导致采用速度缓慢。
汽车工业的成长
不断扩张的汽车产业为机器视觉系统市场带来了巨大的机会。这些系统对于组装检验、缺陷检测和零件识别等品质保证流程至关重要。电动车(EV)和自动驾驶技术的兴起将进一步推动对能够确保精密製造的先进视觉系统的需求。此外,汽车公司对智慧製造设施的投资不断增加,推动了机器视觉解决方案的采用。
与传统测试方法的竞争
传统的检查方法,例如手动品质检查和简单的自动化系统,对先进机器视觉技术的采用构成了威胁。由于前期成本低且易于实施,许多产业继续依赖这些方法。对变革的抵制和对整合新技术的复杂性的担忧也加剧了这一挑战,限制了机器视觉系统的成长潜力。
COVID-19 疫情最初扰乱了机器视觉市场,因为它扰乱了全球供应链并减缓了製造业活动。然而,此次危机期间对非接触式操作的需求加速了医疗保健和物流等产业对自动化的采用。机器视觉技术越来越多地被应用于远端监控和关键领域的品管等应用。这种转变凸显了自动化在生产中断期间的弹性的重要性,并提升了市场的长期成长前景。
预计在预测期内,基于 PC 的机器视觉系统部分将成长至最大的部分。
基于 PC 的机器视觉系统领域预计将在预测期内占据最大的市场占有率,因为它具有卓越的处理能力和处理缺陷检测和组装检验等复杂任务的灵活性。这些系统广泛应用于需要快速资料分析和客製化选项的行业。它可以轻鬆整合到现有的生产线中,适合大规模製造业务。处理能力和软体功能的持续进步进一步巩固了其作为市场领先领域的地位。
预计预测期内软体产业将以最高的复合年增长率成长。
由于人工智慧演算法和深度学习技术的进步,软体产业预计将在预测期内呈现最高的成长率。这些创新实现了更精确的影像处理和模式识别,扩大了医疗、汽车和电子等产业的应用。对使用者友善介面和可自订解决方案的需求不断增长也推动了软体的采用。随着各行各业优先考虑更智慧的自动化解决方案,软体正在成为提高机器视觉系统效能的关键组成部分。
在预测期内,由于中国、日本和韩国等国家拥有强大的製造业基础,预计亚太地区将占据最大的市场占有率。该地区的优势在于机器视觉系统在电子生产、汽车组装和半导体製造领域的广泛应用。政府鼓励采用工业 4.0 的措施进一步推动了市场成长。由于主要企业大力投资研发,亚太地区处于机器视觉技术进步的前沿。
在预测期内,由于印度和东南亚等新兴经济体的快速工业化和自动化程度的提高,预计亚太地区将呈现最高的复合年增长率。对智慧工厂的投资不断增加以及对品管解决方案的需求不断增长正在推动该地区的成长。汽车、电子和医疗等行业的扩张进一步刺激了该地区对先进机器视觉系统的需求。
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.