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1423350

2024-2032 年按產品、組件、應用、產業和地區分類的機器視覺市場報告

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個工作天內

價格

2023年全球機器視覺市場規模達132億美元。展望未來， IMARC Group預計到2032年市場規模將達到254億美元，2024-2032年複合年成長率（CAGR）為7.3%。製造業對自動化和品質控制的需求不斷成長、人工智慧和深度學習演算法的眾多進步以及對高效檢測的需求不斷成長是推動市場的一些主要因素。

機器視覺，也稱為電腦視覺，是人工智慧 (AI) 和影像處理的一個領域，它使機器（通常是電腦）能夠解釋和理解來自世界的視覺訊息。它涉及演算法和技術的開發，使機器能夠分析、處理影像或視訊並從中提取有意義的見解。機器視覺系統利用相機或其他影像設備來捕捉視覺資料，然後使用各種計算方法來偵測模式、識別物件、追蹤運動並執行需要視覺理解的任務。因此，機器視覺技術在機器人、自動駕駛汽車、品質控制和醫學影像等多個行業中都有應用。

由於製造、汽車、電子和製藥等行業對自動化和品質控制的需求不斷增加，機器視覺系統的採用不斷增加，將刺激預測期內市場的成長。這些系統提高了生產效率，減少了錯誤，並確保了一致的產品品質。此外，人工智慧（AI）和深度學習技術的出現使機器視覺能夠在影像分析和模式識別任務中實現更高的準確性和多功能性，從而加快了產品的採用率。此外，由於智慧城市、交通和醫療保健等各種應用對安全和監控的需求不斷成長，機器視覺在即時監控和威脅檢測方面的廣泛整合正在推動市場成長。此外，相機、感測器和處理硬體成本的下降使得機器視覺解決方案更加經濟實惠，可供更廣泛的企業使用，從而促進了市場的成長。

機器視覺市場趨勢/促進因素：

人工智慧和深度學習的進步

人工智慧（AI）和深度學習的不斷進步極大地提升了機器視覺系統的能力。人工智慧演算法，尤其是卷積神經網路 (CNN) 等深度學習技術，已經徹底改變了影像處理和模式識別。憑藉從大量資料集中學習的能力，機器視覺系統現在可以準確地識別和分類物件、臉部和場景。這項進展帶來了臉部辨識、自動駕駛汽車、醫學影像和安全監控等應用的顯著改進。隨著人工智慧的不斷發展，機器視覺預計將變得更加複雜、適應性更強，並且能夠應對更複雜的視覺挑戰，進一步推動機器視覺領域的成長和創新。

工業 4.0 和自動化的到來

工業4.0的出現以及自動化在不同行業的廣泛採用是推動市場成長的主要因素。在智慧製造時代，企業努力最佳化生產流程，確保產品品質一致，並最大限度地減少缺陷。機器視覺技術透過在整個製造工作流程中提供自動化檢測、精確的缺陷檢測和即時品質控制，在實現這些目標方面發揮著至關重要的作用。透過將機器視覺與機器人系統和物聯網 (IoT) 設備整合，公司可以簡化操作、減少人為錯誤並提高整體效率。對提高生產率和降低營運成本的不懈追求繼續推動工業領域對機器視覺解決方案的需求。

應用和垂直行業的擴展

機器視覺的多功能性使其在不斷擴大的應用和垂直行業中廣泛採用。除了在製造業中的傳統用途之外，機器視覺現在還應用於農業、醫療保健、零售和娛樂等多個領域。在農業領域，它有助於作物監測、產量預測和精準農業。在醫療保健領域，機器視覺協助醫療診斷、影像分析和機器人輔助手術。在零售領域，它促進了無收銀員結帳系統、庫存管理和客戶分析。此外，機器視覺擴大應用於娛樂和遊戲中，以實現手勢識別和擴增實境 (AR) 體驗。該技術能夠增強流程、提供有價值的見解並改善各個領域的決策，將刺激機器視覺市場的成長。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球機器視覺市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場區隔：按產品
  • 市場區隔：依成分
  • 市場區隔：按應用
  • 市場區隔：依行業
  • 市場區隔：按地區
  • 市場預測
  • SWOT分析
    • 概述
    • 優勢
    • 弱點
    • 機會
    • 威脅
  • 價值鏈分析
  • 波特五力分析
    • 概述
    • 買家的議價能力
    • 供應商的議價能力
    • 競爭程度
    • 新進入者的威脅
    • 替代品的威脅
  • 價格分析

第 6 章：市場區隔：依產品

  • 視覺系統
    • 市場走向
    • 市場預測
  • 相機
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 7 章：市場區隔：按組成部分

  • 硬體
    • 市場走向
    • 市場預測
  • 軟體
    • 市場走向
    • 市場預測

第 8 章：市場區隔：按應用

  • 定位
    • 市場走向
    • 市場預測
  • 鑑別
    • 市場走向
    • 市場預測
  • 確認
    • 市場走向
    • 市場預測
  • 測量
    • 市場走向
    • 市場預測
  • 探傷
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 9 章：市場區隔：依行業

  • 電子和半導體
    • 市場走向
    • 市場預測
  • 汽車
    • 市場走向
    • 市場預測
  • 醫療與製藥
    • 市場走向
    • 市場預測
  • 食品、包裝和印刷
    • 市場走向
    • 市場預測
  • 安全與監控
    • 市場走向
    • 市場預測
  • 智慧交通系統
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 10 章：市場區隔：按地區

  • 亞太地區
    • 市場走向
    • 市場預測
  • 歐洲
    • 市場走向
    • 市場預測
  • 北美洲
    • 市場走向
    • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場預測
  • 拉丁美洲
    • 市場走向
    • 市場預測

第 11 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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