市场调查报告书
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1570980
机器视觉市场:现况分析与预测(2024-2032)Machine Vision Market: Current Analysis and Forecast (2024-2032) |
机器视觉市场预计将呈现约8.8%的成长率。这是由于相机、高解析度感测器和 3D 成像的进步增加了高精度任务中对机器视觉的需求。例如,2023年 6月,Allied Vision Technologies Gmbh 在慕尼黑的 "Automatica" 展会上展示了大量技术和产品。其中包括 "Alvium G1" 和 "Alvium G5" 小型 GigE Vision 和 5GigE Vision 相机、推出该公司的 "AI-Blox" 平台及其即将推出的GMSL-2 Alvium GM2 相机、Nerian 3D 深度相机 "Ruby" ,以及该公司的Goldeye XSWIR 相机。
市场依类型分为 1D 视觉、2D 视觉和 3D 视觉。透过为工业应用提供经济实惠且有针对性的解决方案,1D视觉类别预计将占据市场上最大的占有率。与 2D 和 3D 视觉系统不同,1D 视觉系统目的是沿着单条线或维度捕获资料,非常适合高速生产线上的条码读取、边缘检测和线性测量等应用。该技术在需要快速和高精度测量的行业中非常有用,例如包装、製药和汽车行业。此外,由于1D视觉比复杂的视觉系统更便宜,并且更容易与其他系统整合,因此它在许多组织中变得流行,导致需求不断增加并推动了机器视觉市场的成长。
市场依产品细分为基于 PC 的机器视觉系统、视觉控制器、独立视觉系统、视觉感测器/基于图像的条码阅读器等。其中,基于PC的机器视觉系统类别预计在预测期内将以最快的年复合成长率成长。基于 PC 的系统为应用程式开发人员提供了多功能、可自订、高效能的系统,可以应对许多工业应用挑战。由于基于PC的系统不依赖具有固定功能的嵌入式计算机,因此具有更快的计算速度、可以与其他自动化系统整合、并且包括图像识别和实时分析等复杂问题解决能力的优势。这些系统可以定期更新新的软体和硬体。这对于汽车、电子和包装等行业非常重要,因为这些行业的需求可能会随着时间的推移而改变。这些系统因其灵活性和有效性而成为机器视觉市场创新和采用的领导者。
市场依应用分为识别、检查、测量、定位等。其中,识别类别预计在预测期内将以最快的年复合成长率成长。识别部分定义了透过整合条码扫描、OCR(光学字元辨识)和模式识别等技术来推动市场成长的机器,有助于改善其他行业应用中的产品追踪和品质。这对于物流、製药和零售等行业尤其重要,这些行业的产品识别、分类和资料收集可提高效率并减少错误和合规问题。
依最终用途,市场分为汽车、医疗保健、製造、工业等。其中,汽车产业预计在预测期内将以最快的年复合成长率成长。在汽车行业中,机器视觉在自动化各种品质检查、指导生产线上的机器人系统以及确保焊接、喷漆和零件识别等操作的准确性方面发挥着重要作用。随着电动车和自动驾驶汽车等技术的日益普及,机器视觉系统在提高安全性、製造精度和生产率方面具有很大的相关性,并且该领域的市场不断成长。
为了更了解机器视觉市场的采用情况,市场包括北美(美国、加拿大和其他北美地区)、欧洲(德国、英国、法国、西班牙、义大利和其他欧洲地区)和亚洲太平洋地区(中国,根据其他地区(日本、印度、亚太其他地区)和世界其他地区的全球影响力进行分析。特别是,由于中国、日本、韩国、印度等国家製造业的成长,亚太地区的机器视觉市场迅速扩大。特别是在电子、汽车和製药行业,随着自动化和机器人化程度的提高,对机器视觉系统的需求不断增加,以提高生产力、品质控制和准确性。文件显示,支持工业 4.0 和智慧製造的多项政府措施也是进一步推动市场成长的关键因素。亚太地区也拥有大型生产设施和高科技投资,使其成为机器视觉的战略市场。机器视觉解决方案的可能优势包括有竞争力的价格、创新和强大的本地製造实力。
市场上的主要参与者包括Cognex Corporation、Basler AG、Omron Corporation、KEYENCE CORPORATION、Sony Image Sensing Solutions、Teledyne Digital Imaging Inc.、Texas Instruments Incorporated、Intel Corporation、Integro Technologies Corp.、Allied Vision Technologies GmbH。
The global machine vision Market refers to the integration of optical sensors, cameras, and software technologies that allow machines to interpret and respond to visual data, primarily in industrial applications such as quality inspection, object recognition, and guidance of automated systems. This market is driven by increasing demand for automation, particularly in manufacturing, automotive, electronics, and healthcare sectors, where accuracy, speed, and cost-efficiency are essential. Growth factors include advancements in AI and deep learning, the rising need for precision in production processes, and the expanding use of vision-guided robots. The surge in smart factories and Industry 4.0 initiatives further fuels the market's expansion globally.
The machine vision market is set to show a growth rate of about 8.8%. This is due to enhanced cameras, high-resolution sensors, and 3D imaging pushing demand for machine vision in high-precision tasks. For instance, in June 2023, Allied Vision Technologies Gmbh exhibited a substantial range of technologies and products at 'Automatica' in Munich. These included the 'Alvium G1' and 'Alvium G5' small GigE Vision and 5GigE Vision cameras; the launch of the company's 'AI-Blox' platform together with its upcoming GMSL-2 Alvium GM2 camera; the Nerian 3D depth camera 'Ruby'; and a look at the company's Goldeye XSWIR camera.
Based on type, the market is segmented into 1D Vision, 2D Vision, and 3D Vision. The 1D Vision category is expected to have the largest market share of the market by providing affordable and targeted solutions for industrial applications. 1D vision systems are different from 2D or 3D vision systems as they are designed to capture data along a single line or dimension and are ideal for applications such as barcode reading, edge detection, and linear measurement in high-speed production lines. This is because this technology is very useful in industries such as packaging, pharmaceuticals, and automobiles industries in which measurement must be done at high speed and with high accuracy. Its affordability and simple integration with other systems than complicated vision systems also make 1D vision popular among many organizations, thus increasing the demand and fostering the growth of the machine vision market.
Based on the product, the market is segmented into PC-based machine vision systems, vision controllers, standalone vision systems, vision sensors & image-based barcode readers, and others. Among these, the PC-based machine vision system category is expected to grow at the fastest CAGR during the forecast period. As it provides application developers with versatile, customizable, and high-performance systems for a multitude of challenging industrial uses. PC-based systems do not rely on an embedded computer with a fixed set of capabilities, thus having benefits such as higher calculation speed, the capability of integration with other automation systems, and broad functionality including the capability of solving complex problems such as image recognition and real-time analysis. These systems can be periodically revised with new software and hardware; this is essential for such industries as automobile, electronics, and packaging, where needs may change over the years. They serve as leaders of innovation and adoption in the machine vision market due to their flexibility and effectiveness.
Based on the application, the market is segmented into identification, inspection, gauging, positioning, and others. Among these, the identification category is expected to grow at the fastest CAGR during the forecast period. The identification segment defines machines to enhance market growth through the integration of technologies such as barcode scanning, OCR (Optical Character Recognition), and pattern recognition for tracking and enhancing product quality among other applications across industries. This is particularly important in industries such as logistics, pharmaceuticals, and retail, where identification of products as well as sorting and data capture increases efficiency and reduces errors and compliance issues.
Based on the end-use, the market is segmented into automotive, healthcare, manufacturing, industrial, and others. Among these, the automotive category is expected to grow at the fastest CAGR during the forecast period. In the automotive industry machine vision plays a role in automating various quality checks, directing robotic systems in a production line, or guaranteeing the accuracy of actions like welding, painting, and part identification. With the increasing adoption of technologies like Electric Vehicles and autonomous driven vehicles, there is a great relevance for Machine Vision Systems in safety and manufacturing accuracy as well as in the improvement of productivity and hence the growth of this segment in the market.
For a better understanding of the market adoption of Machine Vision, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, the Asia-Pacific machine vision market is rapidly growing due to the growth of the manufacturing industry in the region such as China, Japan, South Korea, and India. The growing use of automation and robotics, especially in the electronics, automotive, and pharmaceutical industries to enhance productivity, quality control, and accuracy has created a need for machine vision systems. This paper reveals that several government initiatives supporting Industry 4.0 and smart manufacturing are also acting as major drivers that are further propelling market growth. Also, the Asia-Pacific region boasts large-scale production facilities and high-tech investments, making the region a strategic market for the machine vision sector. The factors that could be considered as advantages for machine vision solutions include competitive pricing, innovation, and strong local manufacturing hubs.
Some of the major players operating in the market include Cognex Corporation; Basler AG; Omron Corporation; KEYENCE CORPORATION; Sony Image Sensing Solutions; Teledyne Digital Imaging Inc.; Texas Instruments Incorporated; Intel Corporation; Integro Technologies Corp.; Allied Vision Technologies GmbH.