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市场调查报告书
商品编码
1423350

2024-2032 年按产品、组件、应用、产业和地区分類的机器视觉市场报告

Machine Vision Market Report by Product, Component, Application, Industry, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 143 Pages | 商品交期: 2-3个工作天内

价格

2023年全球机器视觉市场规模达132亿美元。展望未来， IMARC Group预计到2032年市场规模将达到254亿美元，2024-2032年复合年增长率（CAGR）为7.3%。製造业对自动化和品质控制的需求不断增长、人工智慧和深度学习演算法的众多进步以及对高效检测的需求不断增长是推动市场的一些主要因素。

机器视觉，也称为电脑视觉，是人工智慧 (AI) 和影像处理的一个领域，它使机器（通常是电脑）能够解释和理解来自世界的视觉讯息。它涉及演算法和技术的开发，使机器能够分析、处理影像或视讯并从中提取有意义的见解。机器视觉系统利用相机或其他影像设备来捕捉视觉资料，然后使用各种计算方法来侦测模式、识别物件、追踪运动并执行需要视觉理解的任务。因此，机器视觉技术在机器人、自动驾驶汽车、品质控制和医学影像等多个行业中都有应用。

由于製造、汽车、电子和製药等行业对自动化和品质控制的需求不断增加，机器视觉系统的采用不断增加，将刺激预测期内市场的成长。这些系统提高了生产效率，减少了错误，并确保了一致的产品品质。此外，人工智慧（AI）和深度学习技术的出现使机器视觉能够在影像分析和模式识别任务中实现更高的准确性和多功能性，从而加快了产品的采用率。此外，由于智慧城市、交通和医疗保健等各种应用对安全和监控的需求不断增长，机器视觉在即时监控和威胁检测方面的广泛整合正在推动市场成长。此外，相机、感测器和处理硬体成本的下降使得机器视觉解决方案更加经济实惠，可供更广泛的企业使用，从而促进了市场的成长。

机器视觉市场趋势/驱动因素：

人工智慧和深度学习的进步

人工智慧（AI）和深度学习的不断进步极大地提升了机器视觉系统的能力。人工智慧演算法，尤其是卷积神经网路 (CNN) 等深度学习技术，已经彻底改变了影像处理和模式识别。凭藉从大量资料集中学习的能力，机器视觉系统现在可以准确地识别和分类物件、脸部和场景。这项进展带来了脸部辨识、自动驾驶汽车、医学影像和安全监控等应用的显着改进。随着人工智慧的不断发展，机器视觉预计将变得更加复杂、适应性更强，并且能够应对更复杂的视觉挑战，进一步推动机器视觉领域的成长和创新。

工业 4.0 和自动化的到来

工业4.0的出现以及自动化在不同行业的广泛采用是推动市场成长的主要因素。在智慧製造时代，企业努力优化生产流程，确保产品品质一致，并最大限度地减少缺陷。机器视觉技术透过在整个製造工作流程中提供自动化检测、精确的缺陷检测和即时品质控制，在实现这些目标方面发挥着至关重要的作用。透过将机器视觉与机器人系统和物联网 (IoT) 设备集成，公司可以简化操作、减少人为错误并提高整体效率。对提高生产率和降低营运成本的不懈追求继续推动工业领域对机器视觉解决方案的需求。

应用和垂直行业的扩展

机器视觉的多功能性使其在不断扩大的应用和垂直行业中广泛采用。除了在製造业中的传统用途之外，机器视觉现在还应用于农业、医疗保健、零售和娱乐等多个领域。在农业领域，它有助于作物监测、产量预测和精准农业。在医疗保健领域，机器视觉协助医疗诊断、影像分析和机器人辅助手术。在零售领域，它促进了无收银员结帐系统、库存管理和客户分析。此外，机器视觉越来越多地应用于娱乐和游戏中，以实现手势识别和扩增实境 (AR) 体验。该技术能够增强流程、提供有价值的见解并改善各个领域的决策，将刺激机器视觉市场的成长。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球机器视觉市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场区隔：按产品
  • 市场区隔：依成分
  • 市场区隔：按应用
  • 市场区隔：依行业
  • 市场区隔：按地区
  • 市场预测
  • SWOT分析
    • 概述
    • 优势
    • 弱点
    • 机会
    • 威胁
  • 价值链分析
  • 波特五力分析
    • 概述
    • 买家的议价能力
    • 供应商的议价能力
    • 竞争程度
    • 新进入者的威胁
    • 替代品的威胁
  • 价格分析

第 6 章：市场区隔：依产品

  • 视觉系统
    • 市场走向
    • 市场预测
  • 相机
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 7 章：市场区隔：按组成部分

  • 硬体
    • 市场走向
    • 市场预测
  • 软体
    • 市场走向
    • 市场预测

第 8 章：市场区隔：按应用

  • 定位
    • 市场走向
    • 市场预测
  • 鑑别
    • 市场走向
    • 市场预测
  • 确认
    • 市场走向
    • 市场预测
  • 测量
    • 市场走向
    • 市场预测
  • 探伤
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 9 章：市场区隔：依行业

  • 电子和半导体
    • 市场走向
    • 市场预测
  • 汽车
    • 市场走向
    • 市场预测
  • 医疗与製药
    • 市场走向
    • 市场预测
  • 食品、包装和印刷
    • 市场走向
    • 市场预测
  • 安全与监控
    • 市场走向
    • 市场预测
  • 智慧交通系统
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 10 章：市场区隔：按地区

  • 亚太地区
    • 市场走向
    • 市场预测
  • 欧洲
    • 市场走向
    • 市场预测
  • 北美洲
    • 市场走向
    • 市场预测
  • 中东和非洲
    • 市场走向
    • 市场预测
  • 拉丁美洲
    • 市场走向
    • 市场预测

第 11 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Cognex Corporation
    • Basler AG
    • Omron Corporation
    • National Instruments Corporation
    • Keyence Corporation
    • Sony Corporation
    • Teledyne Technologies, Inc.
    • Texas Instruments, Inc
    • Allied Vision Technologies GmbH
    • Intel Corporation
    • Baumer Optronic GmbH
    • Jai A/S
Product Code: SR112024A1075

Abstract

The global machine vision market size reached US$ 13.2 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 25.4 Billion by 2032, exhibiting a growth rate (CAGR) of 7.3% during 2024-2032. The increasing demand for automation and quality control in manufacturing industries, numerous advancements in artificial intelligence and deep learning algorithms, and the rising need for efficient inspection are some of the major factors propelling the market.

Machine vision, also known as computer vision, is a field of artificial intelligence (AI) and image processing that enables machines, typically computers, to interpret and understand visual information from the world. It involves the development of algorithms and techniques that allow machines to analyze, process, and extract meaningful insights from images or videos. Machine vision systems utilize cameras or other imaging devices to capture visual data and then use various computational methods to detect patterns, recognize objects, track movements, and perform tasks that require visual understanding. As a result, machine vision technology finds applications in diverse industries, such as robotics, autonomous vehicles, quality control, and medical imaging.

The rising adoption of machine vision systems due to the increasing demand for automation and quality control across industries, including manufacturing, automotive, electronics, and pharmaceuticals, will stimulate the growth of the market during the forecast period. These systems enhance production efficiency, reduce errors, and ensure consistent product quality. Moreover, the advent of artificial intelligence (AI) and deep learning technologies that empower machine vision to achieve greater accuracy and versatility in image analysis and pattern recognition tasks has accelerated the product adoption rate. Furthermore, the widespread integration of machine vision for real-time monitoring and threat detection owing to the escalating need for safety and surveillance in various applications, such as smart cities, transportation, and healthcare, is propelling the market growth. Additionally, the decreasing costs of cameras, sensors, and processing hardware that makes machine vision solutions more affordable and accessible to a broader range of businesses has catalyzed the market growth.

Machine Vision Market Trends/Drivers:

Advancements in artificial intelligence and deep learning

The continuous advancements in artificial intelligence (AI) and deep learning have significantly boosted the capabilities of machine vision systems. AI algorithms, especially deep learning techniques like convolutional neural networks (CNNs), have revolutionized image processing and pattern recognition. With the ability to learn from vast datasets, machine vision systems can now accurately identify and categorize objects, faces, and scenes. This progress has led to remarkable improvements in applications such as facial recognition, autonomous vehicles, medical imaging, and security surveillance. As AI continues to evolve, machine vision is expected to become more sophisticated, adaptable, and capable of tackling even more complex visual challenges, further driving growth and innovation in the machine vision landscape.

Advent of Industry 4.0 and automation

The advent of Industry 4.0 and the widespread adoption of automation across different industries represent the major factors fueling the market growth.. In the era of smart manufacturing, businesses strive to optimize their production processes, ensure consistent product quality, and minimize defects. Machine vision technology plays a crucial role in achieving these objectives by providing automated inspection, precise defect detection, and real-time quality control throughout the manufacturing workflow. By integrating machine vision with robotic systems and the Internet of Things (IoT) devices, companies can streamline operations, decrease human errors, and enhance overall efficiency. The relentless pursuit of improved productivity and reduced operational costs continues to propel the demand for machine vision solutions in the industrial sector.

Expansion of applications and industry verticals

Machine vision's versatility has led to its widespread adoption in an expanding array of applications and industry verticals. Beyond its traditional use in manufacturing, machine vision now finds applications in diverse sectors such as agriculture, healthcare, retail, and entertainment. In the agriculture industry, it aids in crop monitoring, yield prediction, and precision farming. In healthcare, machine vision assists with medical diagnostics, image analysis, and robotic-assisted surgeries. In the retail sector, it facilitates cashier-less checkout systems, inventory management, and customer analytics. Furthermore, machine vision is increasingly being employed in entertainment and gaming for gesture recognition and augmented reality (AR) experiences. The technology's ability to enhance processes, provide valuable insights, and improve decision-making across various domains will stimulate the growth of the market for machine vision.

Machine Vision Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global machine vision market report, along with forecasts at the global and regional levels from 2024-2032. Our report has categorized the market based on product, component, application, and industry.

Breakup by Product:

Vision Systems

Cameras

Others

Vision systems dominate the market

The report has provided a detailed breakup and analysis of the market based on the product. This includes vision systems, cameras, and others. According to the report, vision systems represented the largest segment.

Vision systems, also known as machine vision systems, are sophisticated technologies that enable machines to perceive and interpret visual information from the surrounding environment. These systems consist of cameras or other imaging devices, image processing software, and advanced algorithms that analyze and extract meaningful data from images or videos. Vision systems can perform various tasks, including object recognition, defect detection, measurement, sorting, and tracking. By providing machines with the ability to "see" and understand the world, vision systems aid in revolutionizing industries across the board.

Furthermore, they enhance automation and quality control in manufacturing, optimize processes in logistics and packaging, improve medical diagnostics and healthcare, and bolster security and surveillance systems. The increasing demand for intelligent, data-driven solutions to boost productivity, accuracy, and efficiency will propel the growth of the market as vision systems become indispensable tools for businesses across diverse sectors.

Breakup by Component:

Hardware

Software

Hardware holds the largest share in the market

A detailed breakup and analysis of the market based on the component has also been provided in the report. This includes hardware and software. According to the report, hardware accounted for the largest market share.

Hardware refers to the physical components and devices used to capture, process, and transmit visual data. It typically includes cameras, lenses, image sensors, lighting systems, frame grabbers, processing units (such as GPUs or specialized vision processors), and communication interfaces. These hardware components form the foundation of machine vision systems, enabling the acquisition of visual information from the environment. The performance, accuracy, and capabilities of the hardware directly impact the overall effectiveness and efficiency of machine vision applications.

As hardware technology advances, with improvements in sensor resolution, faster processing speeds, and higher data throughput, machine vision systems become more powerful, versatile, and accessible. Upgraded hardware allows real-time processing, higher-quality imaging, and more complex algorithms, which in turn favors the expansion of machine vision into new industries and applications, making it a major driving force behind the growth of the market.

Breakup by Application:

Positioning

Identification

Verification

Measurement

Flaw Detection

Others

Flaw detection represents the leading application segment

The report has provided a detailed breakup and analysis of the market based on the application. This includes positioning, identification, verification, measurement, flaw detection, and others. According to the report, flaw detection represented the largest segment.

Flaw detection refers to the process of identifying defects, imperfections, or abnormalities in products or materials during manufacturing or quality control processes. Machine vision systems use advanced imaging techniques and algorithms to analyze visual data and compare it against predefined standards to detect flaws accurately and efficiently. Flaw detection plays a crucial role in ensuring product quality, reducing waste, and maintaining consistent standards in various industries such as manufacturing, automotive, electronics, and pharmaceuticals. As industries increasingly prioritize quality control and automation, the demand for reliable flaw detection solutions has grown significantly. Machine vision's ability to provide fast, non-destructive, and precise flaw detection has become a driving force behind the adoption of machine vision technology. As the market recognizes the potential of machine vision in flaw detection to optimize production processes, enhance product reliability, and reduce costs, its growth and integration across industries continue to accelerate.

Breakup by Industry:

Electronics and Semiconductor

Automotive

Medical and Pharmaceutical

Food, Packaging and Printing

Security and Surveillance

Intelligent Traffic System

Others

Electronics and semiconductor account for the majority of the share in the market

The report has provided a detailed breakup and analysis of the market based on the industry. This includes electronics and semiconductor, automotive, medical and pharmaceutical, food, packaging and printing, security and surveillance, intelligent traffic system, and others. According to the report, electronics and semiconductor represented the largest segment.

The electronics and semiconductor industry significantly contributes to the market growth due to its rigorous demand for high-quality production and precision manufacturing processes. In this industry, the miniaturization of components and the complexity of integrated circuits require meticulous inspection and defect detection at microscopic levels. Machine vision systems offer a reliable and efficient solution for inspecting semiconductor wafers, PCBs, electronic components, and assembly processes. They ensure consistent product quality, reduce defects, and improve overall manufacturing efficiency. As technological advancements continue to push the boundaries of electronics and semiconductors, the need for advanced machine vision solutions becomes even more critical. The ability of machine vision to perform high-speed, accurate inspection and analysis enables electronics and semiconductor manufacturers to stay competitive and meet the ever-increasing demands for quality and innovation. Therefore, the growth of the electronics and semiconductor industry goes hand in hand with the expansion of the machine vision market.

Breakup by Region:

Asia Pacific

Europe

North America

Middle East and Africa

Latin America

Asia Pacific exhibits a clear dominance in the market

The report has also provided a comprehensive analysis of all the major regional markets, which include North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. According to the report, Asia Pacific accounted for the largest market share.

Asia Pacific is a significant driving force behind the growth of the machine vision market due to several key factors. Firstly, the region's thriving manufacturing industries, particularly in countries like China, Japan, South Korea, and India, are increasingly adopting automation and robotics to improve productivity and product quality. Machine vision plays a vital role in these processes by providing precise inspection, defect detection, and assembly verification. Secondly, the rising demand for consumer electronics, automotive, and semiconductor products in the Asia Pacific region fuels the need for stringent quality control, which further boosts the adoption of machine vision systems.

Additionally, the increasing focus on industrial automation, Industry 4.0 initiatives, and smart manufacturing practices in the region drive the integration of machine vision technologies to optimize production processes and enhance efficiency. The rapid technological advancements and the presence of major machine vision solution providers in Asia Pacific also contribute to its driving role in the expansion of the global machine vision industry.

Competitive Landscape:

The market is experiencing a lower-than-anticipated demand compared to pre-pandemic levels. However, this is likely to witness a paradigm shift over the next decade with the growing integration of machine vision with edge computing and IoT devices, enabling real-time analysis and decision-making at the edge of networks, leading to reduced latency and improved responsiveness in various applications. Additionally, key players are developing 3D machine vision technologies that enable precise depth perception and object reconstruction, revolutionizing applications such as robot guidance and augmented reality. Furthermore, ongoing advancements in multispectral and hyperspectral imaging have enhanced the ability to capture and analyze data beyond the visible spectrum, leading to new possibilities in fields such as precision agriculture, medical diagnostics, and materials inspection. We also expect the market to witness new entrants, consolidation of portfolio and increased collaborations among key players to drive healthy competition within the machine vision domain.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Cognex Corporation

Basler AG

Omron Corporation

National Instruments Corporation

Keyence Corporation

Sony Corporation

Teledyne Technologies, Inc.

Texas Instruments, Inc,

Allied Vision Technologies GmbH

Intel Corporation

Baumer Optronic GmbH

Jai A/S

Recent Developments:

In March 2021, Basler AG introduced an Embedded Vision Processing Kit featuring multiple interfaces for image processing and seamless connectivity with various camera types. The kit incorporates the reliable pylon Camera Software Suite, offering certified drivers for diverse camera interfaces, user-friendly programming interfaces, and a comprehensive array of tools for easy camera setup.

In August 2021, OMRON Corporation introduced the revolutionary "VT-SIO Series" PCB inspection system, marking a significant leap forward in the realm of electronic substrate inspection. This cutting-edge technology is poised to transform the electronics manufacturing industry by enabling automated and high-precision inspections of printed circuit boards, all achieved without the need for specialized knowledge or expertise from operators. The traditional PCB inspection process has often been labour-intensive and time-consuming, demanding skilled personnel to meticulously examine and detect defects or errors on the electronic substrates.

In September 2021, KEYENCE launched the CV-X/XG-X Series of high-resolution cameras, featuring a 64 MP sensor that greatly enhances accuracy in conventional inspections. This advanced camera's built-in angle sensor simplifies installation and allows for quick detection of any misalignment during operation. The combination of ultra-high resolution and angle sensor technology empowers users to achieve more precise and efficient inspection processes, making it a valuable addition to the machine vision market.

Key Questions Answered in This Report

  • 1. What was the size of the global machine vision market in 2023?
  • 2. What is the expected growth rate of the global machine vision market during 2024-2032?
  • 3. What are the key factors driving the global machine vision market?
  • 4. What has been the impact of COVID-19 on the global machine vision market?
  • 5. What is the breakup of the global machine vision market based on the product?
  • 6. What is the breakup of the global machine vision market based on the component?
  • 7. What is the breakup of the global machine vision market based on the application?
  • 8. What is the breakup of the global machine vision market based on the industry?
  • 9. What are the key regions in the global machine vision market?
  • 10. Who are the key players/companies in the global machine vision market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Machine Vision Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Breakup by Product
  • 5.5 Market Breakup by Component
  • 5.6 Market Breakup by Application
  • 5.7 Market Breakup by Industry
  • 5.8 Market Breakup by Region
  • 5.9 Market Forecast
  • 5.10 SWOT Analysis
    • 5.10.1 Overview
    • 5.10.2 Strengths
    • 5.10.3 Weaknesses
    • 5.10.4 Opportunities
    • 5.10.5 Threats
  • 5.11 Value Chain Analysis
  • 5.12 Porters Five Forces Analysis
    • 5.12.1 Overview
    • 5.12.2 Bargaining Power of Buyers
    • 5.12.3 Bargaining Power of Suppliers
    • 5.12.4 Degree of Competition
    • 5.12.5 Threat of New Entrants
    • 5.12.6 Threat of Substitutes
  • 5.13 Price Analysis

6 Market Breakup by Product

  • 6.1 Vision Systems
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Cameras
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Others
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Component

  • 7.1 Hardware
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Software
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Positioning
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Identification
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Verification
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Measurement
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Flaw Detection
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Others
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast

9 Market Breakup by Industry

  • 9.1 Electronics and Semiconductor
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Automotive
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Medical and Pharmaceutical
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Food, Packaging and Printing
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Security and Surveillance
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Intelligent Traffic System
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Others
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast

10 Market Breakup by Region

  • 10.1 Asia Pacific
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Europe
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 North America
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Middle East and Africa
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Latin America
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast

11 Competitive Landscape

  • 11.1 Market Structure
  • 11.2 Key Players
  • 11.3 Profiles of Key Players
    • 11.3.1 Cognex Corporation
    • 11.3.2 Basler AG
    • 11.3.3 Omron Corporation
    • 11.3.4 National Instruments Corporation
    • 11.3.5 Keyence Corporation
    • 11.3.6 Sony Corporation
    • 11.3.7 Teledyne Technologies, Inc.
    • 11.3.8 Texas Instruments, Inc
    • 11.3.9 Allied Vision Technologies GmbH
    • 11.3.10 Intel Corporation
    • 11.3.11 Baumer Optronic GmbH
    • 11.3.12 Jai A/S

List of Figures

  • Figure 1: Global: Machine Vision Market: Major Drivers and Challenges
  • Figure 2: Global: Machine Vision Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Machine Vision Market: Breakup by Product (in %), 2023
  • Figure 4: Global: Machine Vision Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Machine Vision Market: Breakup by Industry (in %), 2023
  • Figure 6: Global: Machine Vision Market: Breakup by Application (in %), 2023
  • Figure 7: Global: Machine Vision Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Machine Vision Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 9: Global: Machine Vision Industry: SWOT Analysis
  • Figure 10: Global: Machine Vision Industry: Value Chain Analysis
  • Figure 11: Global: Machine Vision Industry: Porter's Five Forces Analysis
  • Figure 12: Global: Machine Vision (Vison Systems) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Machine Vision (Vison Systems) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Machine Vision (Cameras) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Machine Vision (Cameras) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Machine Vision (Other Products) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Machine Vision (Other Products) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Machine Vision (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Machine Vision (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Machine Vision (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Machine Vision (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Machine Vision (Positioning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Machine Vision (Positioning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Machine Vision (Identification) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Machine Vision (Identification) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Machine Vision (Verification) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Machine Vision (Verification) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Machine Vision (Measurement) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Machine Vision (Measurement) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Machine Vision (Flaw Detection) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Machine Vision (Flaw Detection) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Machine Vision (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Machine Vision (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Machine Vision (Electronics and Semiconductor) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Machine Vision (Electronics and Semiconductor) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Machine Vision (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Machine Vision (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Machine Vision (Medical and Pharmaceutical) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Machine Vision (Medical and Pharmaceutical) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Machine Vision (Food, Packaging and Printing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Machine Vision (Food, Packaging and Printing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Machine Vision (Security and Surveillance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Machine Vision (Security and Surveillance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Global: Machine Vision (Intelligent Traffic System) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Global: Machine Vision (Intelligent Traffic System) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: Global: Machine Vision (Other Industries) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: Global: Machine Vision (Other Industries) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Asia Pacific: Machine Vision Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Asia Pacific: Machine Vision Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Europe: Machine Vision Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Europe: Machine Vision Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: North America: Machine Vision Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: North America: Machine Vision Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Middle East and Africa: Machine Vision Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Middle East and Africa: Machine Vision Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Latin America: Machine Vision Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Latin America: Machine Vision Market Forecast: Sales Value (in Million US$), 2024-2032

List of Tables

  • Table 1: Global: Machine Vision Market: Key Industry Highlights, 2023 & 2032
  • Table 2: Global: Machine Vision Market Forecast: Breakup by Product (in Million US$), 2024-2032
  • Table 3: Global: Machine Vision Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 4: Global: Machine Vision Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 5: Global: Machine Vision Market Forecast: Breakup by Industry (in Million US$), 2024-2032
  • Table 6: Global: Machine Vision Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Machine Vision Market: Competitive Structure
  • Table 8: Global: Machine Vision Market: Key Players