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自动化机械视觉

市场调查报告书

商品编码

1444541

机器视觉系统 - 市场占有率分析、产业趋势与统计、成长预测（2024 - 2029）

Machine Vision Systems - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15日 | 出版商:

Mordor Intelligence | 英文 168 Pages | 商品交期: 2-3个工作天内

价格

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简介目录

机器视觉系统市场规模预计到 2024 年为 128.8 亿美元，预计到 2029 年将达到 192.1 亿美元，在预测期内（2024-2029 年）CAGR为 8.32%。

机器视觉系统依靠工业相机内部保护的数位感测器和专用光学元件来获取影像，以便电脑硬体和软体可以处理、分析和测量各种特征以进行决策。

主要亮点

过去几十年来，工业自动化逐渐发展，市场结构几乎没有改变。但由于技术颠覆和回流、全球熟练劳动力短缺以及环境、社会和治理 (ESG) 努力等宏观趋势，变革的步伐正在加快。最近，第一波 COVID-19 大流行导致大部分製造业放缓。然而，这只是暂时的。随着製造业的回归，生产出现了繁荣。随着公司开始重返工作岗位，同时保持社交距离成为新常态，对视觉系统和自动化系统来帮助填补空白的需求不断增加，越来越多的工人无法占用同一工作空间或无法上班。
工业自动化的潜力在被称为「数位灯塔工厂」的极少数製造工厂中最为明显。这些工厂在自动化方面处于领先地位。世界经济论坛的一项调查发现，93% 的灯塔工厂因采用自动化而获得了成长效益。大部分成长收益来自于增加产量的能力，自动化为少数工厂带来了新的收入来源。
因此，机器视觉的采用率正在激增，组织积极寻求更多方法在其营运中部署这种变革性技术。决策者不断寻找提高生产力、品质和可追溯性的方法，因此在製造和物流线上发现了更多可以透过机器视觉进行改进的应用。
推动这一成长的是製造业对改进产品检验和品质控制的需求，以及製造和仓储领域对智慧协作机器人不断增长的需求。自动化和机器视觉技术还可以提高营运效率和生产力，降低生产成本并扩展工人的能力。
推动成长的另一个因素是製造业对改善产品检验和品质控制的需求，以及製造和仓储领域对智慧协作机器人的需求不断增长。自动化和机器视觉技术还可以提高营运效率和生产力，降低生产成本并扩展工人的能力。
然而，当前市场缺乏能够有效地将高品质图形和用户友好介面与以程式码为中心的演算法整合在一起的适应性软体。因此，由于上述熟练人员的短缺，市场的扩张遇到了障碍。

机器视觉系统市场趋势

相机将成为最大的硬体领域

机器视觉相机在工业影像处理链中发挥着至关重要的作用。这些相机利用特定的协定与电脑进行通信，然后电脑分析影像资料，甚至可以调整相机的设定。机器视觉相机的应用多种多样且广泛。它们可用于生产控制、管理物体流、检查表面、製造电子元件和引导机器人。
机器视觉相机能够将光学影像转换为类比或数位讯号。这些相机采用基于 PC 的处理硬体和软体演算法来分析影像、视讯和资料，从而促进手动任务的自动化。另一方面，传统的智慧相机是独立的单元，将机器视觉相机、处理器和照明整合在紧凑的外壳内。这些智慧相机能够捕捉和分析影像和资料，无需单独的 PC。
智慧型摄影机正在成为 MV 系统中流行的硬体组件。他们透过整合照明、影像感测器、软体和 I/O，大大简化了机器视觉系统的设计过程。随着时间的推移，智慧相机的功能和规格不断扩展。这包括引入具有更大影像感测器的模型、可充当智慧相机的嵌入式视觉相机的出现，以及能够执行深度学习和人工智慧任务的新型相机的开发。
机器视觉已成为相机技术的前沿进步，彻底改变了物流、製造和智慧设备等多个工业领域。随着智慧相机技术的出现，製造商可以轻鬆开发和实施根据客户特定要求量身定制的机器视觉模型，帮助客户从有价值的资料中获得全面且可操作的见解。由于智慧相机的日益普及，该市场有望显着增长，智慧相机以紧凑的外形提供增强的处理能力。
例如，2023 年 5 月，Zivid 推出了革命性的最新 3D 彩色相机系列，预计将对机器视觉和自动化领域产生重大影响。这项发展使公司能够进一步增强其能力，使客户能够优化各种应用的效率和生产力，例如卸垛、箱式拣选、拾放、组装、包装和品质控制。预计此类发展将增加市场机会的潜力并显着推动市场发展。
技术的利用跨越众多行业，包括机器人引导和自动化、品质控制和检查以及测绘。在技术进步和各行业对自动化需求不断增长的推动下，机器人技术在製造业中的日益普及预计将放大机器视觉系统相机的潜力。例如，根据国际机器人联合会（IFR）2023年发布的调查显示，全球工厂工业机器人安装量年增5%，2022年总共安装了553,052台机器人亚洲占新部署机器人的73%，其次是欧洲，占15%，美洲占10%。

亚太地区预计将占据重要市场份额

中国是世界上经济成长最快的国家之一，工业生产力很高。这成为该国机器视觉系统市场的驱动力。投资计画旨在提高成长品质、解决环境问题和化解产能过剩。该国部署工厂自动化、流程和机器人技术的公司数量少于其庞大的製造设施规模和僱用的工人数量。这对于中国机器视觉产业的企业来说是一个巨大的机会。
日本在半导体和电子产业也占有重要地位，因为它是一些重要半导体製造商的所在地。根据WSTS统计，2022年日本半导体产业营收成长14.2%，预计未来几年将进一步成长。此外，随着该国采取各种措施增加自动驾驶汽车的采用，预计该国不断增长的汽车工业也将在预测期内支持市场成长。
在韩国，汽车工业蓬勃发展，推动了对机器视觉系统的需求。不断增长的消费者需求和政府支持政策是推动该国采用自动驾驶和电动车的重要因素。根据韩国国土交通部发布的报告，2022年韩国註册电动汽车约39万辆，2013年之后大幅增长。与混合动力汽车和氢动力汽车一起，韩国电动汽车的份额韩国登记车辆总数中环保型汽车约占6.2%。
透过在製造业中添加数位和物理技术以提供最佳性能，印度的工业自动化产业发生了革命性的变化。此外，对零废弃物製造和缩短上市时间的重视也促进了市场成长。
亚太地区的其他地区包括台湾、新加坡、印尼、马来西亚、泰国、澳大利亚等。在印尼，工业 4.0 的兴起正在推动所研究的市场，重点是在食品和饮料、纺织和工业领域实施自动化系统。服装、汽车、化学和电子产业。印尼和德国之间的跨政府倡议正在加强该国的新创企业生态系统。
该地区强大的电子和半导体市场推动跨国企业在那里开展业务。这是对新解决方案的需求不断增长的一个重要因素。削减成本和高产出的解决方案是消费品和食品加工行业中一些备受追捧的解决方案。自动化服务于这些目的并带来额外的好处，例如品质遵守和产品的即时评估。这些发展对于这些区域市场的需求产生至关重要。

机器视觉系统产业概述

机器视觉系统市场高度分散，主要参与者包括康耐视公司、基恩士公司、欧姆龙公司、Isra Vision AG（阿特拉斯科普柯集团）和 IDS Imaging Development Systems GmbH（Paul Hartmann AG）。市场参与者正在采取合作伙伴关係和收购等策略来增强其产品供应并获得可持续的竞争优势。

2023年10月：艾默生宣布收购NI。 NI 增加了艾默生在离散市场的终端市场份额，这将成为艾默生的第二大产业领域。 NI 约 20% 的销售额来自软体，因此也增加了艾默生在高成长工业软体市场的份额。收购 NI 提升了艾默生作为全球自动化领导者的地位，并扩大了其利用近岸外包、数位转型、永续发展和脱碳等重要长期趋势的机会。
2023 年 8 月：康耐视公司以 2.75 亿美元从中信资本控股有限公司的私募股权关联公司 Trustar Capital 手中收购了 Moritex Corporation（Moritex）。 Moritex 是全球领先的光学元件供应商，在日本拥有强大的影响力。 Moritex 预计将贡献康耐视收入的 6-8% 左右，此次收购预计将增加 2025 年 GAAP 每股收益。

额外的好处：

Excel 格式的市场估算 (ME) 表
3 个月的分析师支持

按组件
- 硬体
  - 视觉系统
  - 相机
  - 光学和照明系统
  - 影像撷取卡
  - 其他类型的硬体
- 软体
按产品分类
- 基于PC
- 基于智慧相机
按最终用户产业
- 食品与饮品
- 医疗保健和製药
- 物流与零售
- 汽车
- 电子和半导体
- 其他最终用户产业
按地理
- 北美洲
  - 美国
  - 加拿大
- 欧洲
  - 德国
  - 英国
  - 法国
  - 义大利
  - 西班牙
  - 欧洲其他地区
- 亚太
  - 中国
  - 日本
  - 韩国
  - 印度
  - 亚太其他地区
- 世界其他地区（拉丁美洲、中东和非洲）

第 7 章：竞争格局

公司简介
- Cognex Corporation
- Keyence Corporation
- Omron Corporation
- Isra Vision AG (Atlas Copco Group)
- IDS Imaging Development Systems GmbH (Paul Hartmann AG)
- National Instruments Corporation (Emerson)
- MVTec Software GmbH
- Sony Group Corporation
- Teledyne DALSA (Teledyne Technologies Company)
- Toshiba Corporation

第 8 章：投资分析

第 9 章：市场机会与未来趋势

简介目录

Product Code: 47976

The Machine Vision Systems Market size is estimated at USD 12.88 billion in 2024, and is expected to reach USD 19.21 billion by 2029, growing at a CAGR of 8.32% during the forecast period (2024-2029).

Machine vision systems rely on digital sensors protected inside industrial cameras with specialized optics to acquire images so that computer hardware and software can process, analyze, and measure various characteristics for decision-making.

Key Highlights

Over the past few decades, industrial automation has evolved gradually, with few changes in market structure. But the pace of change is accelerating thanks to technology disruptions and macro trends such as reshoring, a global skilled-labor shortage, and environmental, social, and governance (ESG) efforts. In the recent past, the first wave of the COVID-19 pandemic created a slowdown in much of manufacturing. However, it was only temporary. As manufacturing returned, there was a boom in production. As companies began to return to work while maintaining social distancing as the new norm, there was an increased need for vision systems and automation systems to help fill the void, with more workers being unable to occupy the same workspace or unable to come in.
The potential of industrial automation is most obvious in the tiny percentage of manufacturing sites known as "digital lighthouse factories." These plants are leading the way in automation. A survey by the World Economic Forum found that 93% of lighthouse factories had gotten a growth benefit from their embrace of automation. Most of the growth benefit came from the ability to increase their output, with automation leading to new revenue streams for a handful of factories.
As a result, machine vision is experiencing a surge in adoption, with organizations actively seeking more ways to deploy this transformative technology across their operations. Decision-makers are continually searching for ways to enhance productivity, quality, and traceability, and as a result, are identifying more applications on their manufacturing and logistics lines that can be improved with machine vision.
Driving this growth is the need for improved product inspection and quality control in the manufacturing sector, as well as the growing demand for smarter collaborative robots in manufacturing and warehousing. Automation and machine vision technologies also improve operational efficiency and productivity, reduce production costs, and expand worker capabilities.
Another factor driving growth is the need for improved product inspection and quality control in the manufacturing sector, as well as the growing demand for smarter collaborative robots in manufacturing and warehousing. Automation and machine vision technologies also improve operational efficiency and productivity, reduce production costs, and expand worker capabilities.
However, the current market is experiencing a deficiency in adaptable software that effectively integrates high-quality graphics and user-friendly interfaces with code-centric algorithms. Thus, due to the aforementioned shortage of proficient individuals, the market encounters a hindrance in its expansion.

Machine Vision Systems Market Trends

Cameras to be the Largest Hardware Segment

Machine vision cameras play a crucial role in the industrial image processing chain. These cameras utilize a particular protocol to communicate with a computer, which then analyzes the image data and can even adjust the camera's settings. The applications of machine vision cameras are diverse and extensive. They can be utilized for production control, managing object flow, inspecting surfaces, manufacturing electronic components, and guiding robots.
Machine vision cameras are capable of transforming an optical image into an analog or digital signal. These cameras employ PC-based processing hardware and software algorithms to analyze images, videos, and data, facilitating the automation of manual tasks. On the other hand, traditional smart cameras are self-contained units that integrate a machine vision camera, a processor, and lighting within a compact enclosure. These smart cameras have the ability to capture and analyze images and data without requiring a separate PC.
Smart cameras are becoming a popular hardware component in the MV System. They have greatly simplified the process of designing machine vision systems by integrating lighting, image sensors, software, and I/O. Over time, the capabilities and specifications of smart cameras have expanded. This includes the introduction of models with larger image sensors, the emergence of embedded vision cameras that can function as smart cameras, and the development of new cameras that are capable of executing deep learning and artificial intelligence tasks.
Machine vision has emerged as a cutting-edge advancement in camera technology, revolutionizing multiple industrial sectors such as logistics, manufacturing, and smart devices. With the advent of smart camera technologies, manufacturers can effortlessly develop and implement machine vision models tailored to their customer's specific requirements, helping customers gain comprehensive and actionable insights from valuable data. The market is poised to witness significant growth due to the rising popularity of smart cameras, which offer enhanced processing capabilities in compact form factors.
For instance, in May 2023, Zivid launched a revolutionary line of its latest 3D color cameras, poised to make a significant impact on the machine vision and automation sectors. This development empowers the company to further enhance its capabilities, enabling customers to optimize efficiency and productivity across various applications such as de-palletizing, bin-picking, pick-and-place, assembly, packaging, and quality control. Such developments are expected to increase the potential of the market opportunities and drive the market at a significant rate.
The utilization of technology spans numerous industries, encompassing robotic guidance and automation, quality control and inspection, as well as mapping. The growing adoption of robotics in the manufacturing sector is anticipated to amplify the potential of cameras for machine vision systems, driven by technological advancements and the rising demand for automation in various industries. For instance, according to a survey published by the International Federation of Robotics (IFR) in 2023, there was a 5% year-on-year growth in the installation of industrial robots in factories worldwide, with a total of 553,052 robots installed in 2022. Asia accounted for 73% of the newly deployed robots, followed by Europe with 15% and the Americas with 10%.

Asia-Pacific is Expected to Hold Significant Market Share

China is one of the world's fastest-growing countries with a high industrial production rate. This acts as a driver for the machine vision systems market in the country. Investments are planned to improve the quality of growth, address environmental issues, and reduce overcapacity. The number of companies deploying factory automation, process, and robotics technologies in the country is smaller than the enormous scale of its manufacturing facilities and the number of workers it employs. This represents a big opportunity for companies in China's machine vision sector.
Japan also holds a significant position in the semiconductor and electronics industries as it is home to some essential semiconductor manufacturers. According to WSTS, the semiconductor industry revenue in Japan grew by 14.2% in 2022, and it is expected to grow further over the coming years. Furthermore, the country's growing automotive industry is also expected to support market growth over the forecast period as various steps have been taken to increase the adoption of autonomous vehicles.
In South Korea, the automotive industry is flourishing, driving the demand for machine vision systems. Growing consumer demand and supportive government policies are among the significant factors driving the country's adoption of autonomous and electric vehicles. 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%.
India's industrial automation sector has been revolutionized by the addition of digital and physical technologies in manufacturing to deliver optimal performance. Additionally, emphasis on zero-waste manufacturing and a shorter time-to-market has increased market growth.
The rest of Asia-Pacific comprises Taiwan, Singapore, Indonesia, Malaysia, Thailand, Australia, etc. In Indonesia, the onset of Industry 4.0 is driving the market studied, with a focus on implementing automation systems in the food and beverage, textiles and clothing, automotive, chemical, and electronics industries. Cross-government initiatives between Indonesia and Germany are strengthening the start-up ecosystem in the country.
The presence of strong electronics and semiconductor markets in the region has pushed multinational industries to establish their operations there. This has been a significant factor in the growing demand for new solutions. Cost-cutting and high-output solutions are a few sought-out solutions in the consumer goods and food processing industry. Automation serves these purposes and brings additional benefits, such as quality adherence and real-time assessment of the products. These developments have been critical in demand generation in these regional markets.

Machine Vision Systems Industry Overview

The machine vision systems market is highly fragmented, with the presence of major players like Cognex Corporation, Keyence Corporation, Omron Corporation, Isra Vision AG (Atlas Copco Group), and IDS Imaging Development Systems GmbH (Paul Hartmann AG). The players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

October 2023: Emerson announced the acquisition of NI. NI increases Emerson's end market exposure in discrete markets, which will be Emerson's second largest industry segment. With approximately 20% of its sales in software, NI also increases Emerson's exposure to high-growth industrial software markets. The acquisition of NI advances Emerson's position as a global automation leader and expands its opportunities to capitalize on critical secular trends like nearshoring, digital transformation, sustainability, and decarbonization.
August 2023: Cognex Corporation acquired Moritex Corporation (Moritex) from Trustar Capital, a private equity affiliate of CITIC Capital Holdings Limited, for USD 275 million. Moritex is a leading global provider of optics components with a strong presence in Japan. Moritex is expected to contribute around 6-8% of Cognex's revenue, and the acquisition is expected to be accretive to GAAP EPS in 2025.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Industry Value Chain Analysis
4.3 Industry Attractiveness - Porter's Five Forces Analysis
- 4.3.1 Bargaining Power of Suppliers
- 4.3.2 Bargaining Power of Buyers
- 4.3.3 Threat of New Entrants
- 4.3.4 Threat of Substitutes
- 4.3.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Rising Need for Quality Inspections
- 5.1.2 Increasing Demand for Vision-guided Robotic Systems
5.2 Market Restraints
- 5.2.1 Scarcity of Flexible Machine Vision Solutions

6 MARKET SEGMENTATION

6.1 By Component
- 6.1.1 Hardware
  - 6.1.1.1 Vision Systems
  - 6.1.1.2 Cameras
  - 6.1.1.3 Optics and Illumination Systems
  - 6.1.1.4 Frame Grabbers
  - 6.1.1.5 Other Types of Hardware
- 6.1.2 Software
6.2 By Product
- 6.2.1 PC-based
- 6.2.2 Smart Camera-based
6.3 By End-user Industry
- 6.3.1 Food and Beverage
- 6.3.2 Healthcare and Pharmaceutical
- 6.3.3 Logistics and Retail
- 6.3.4 Automotive
- 6.3.5 Electronics and Semiconductors
- 6.3.6 Other End-user Industries
6.4 By Geography
- 6.4.1 North America
  - 6.4.1.1 United States
  - 6.4.1.2 Canada
- 6.4.2 Europe
  - 6.4.2.1 Germany
  - 6.4.2.2 United Kingdom
  - 6.4.2.3 France
  - 6.4.2.4 Italy
  - 6.4.2.5 Spain
  - 6.4.2.6 Rest of Europe
- 6.4.3 Asia-Pacific
  - 6.4.3.1 China
  - 6.4.3.2 Japan
  - 6.4.3.3 South Korea
  - 6.4.3.4 India
  - 6.4.3.5 Rest of Asia-Pacific
- 6.4.4 Rest of the World (Latin America, Middle East and Africa)

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Cognex Corporation
- 7.1.2 Keyence Corporation
- 7.1.3 Omron Corporation
- 7.1.4 Isra Vision AG (Atlas Copco Group)
- 7.1.5 IDS Imaging Development Systems GmbH (Paul Hartmann AG)
- 7.1.6 National Instruments Corporation (Emerson)
- 7.1.7 MVTec Software GmbH
- 7.1.8 Sony Group Corporation
- 7.1.9 Teledyne DALSA (Teledyne Technologies Company)
- 7.1.10 Toshiba Corporation