マシンビジョン市場レポート：製品、コンポーネント、用途、産業、地域別、2024年～2032年

世界のマシンビジョン市場規模は、2023年に132億米ドルに達しました。今後、IMARC Groupは、2024年から2032年にかけて7.3%の成長率（CAGR）を示し、2032年までに254億米ドルに達すると予測しています。製造業における自動化と品質管理の需要の増加、人工知能とディープラーニングアルゴリズムの数多くの進歩、効率的な検査に対するニーズの高まりは、市場を推進している主な要因の一部です。

コンピュータビジョンとしても知られるマシンビジョンは、人工知能（AI）および画像処理の一分野であり、機械（典型的にはコンピュータ）が世界からの視覚情報を解釈し理解することを可能にします。機械が画像や動画から意味のある洞察を分析、処理、抽出できるようにするアルゴリズムや技術の開発が含まれます。マシンビジョンシステムは、カメラやその他の撮像装置を利用して視覚データを取り込み、様々な計算方法を用いて、パターンの検出、物体の認識、動きの追跡、視覚的理解を必要とするタスクの実行を行う。その結果、マシンビジョン技術は、ロボット工学、自律走行車、品質管理、医療用画像処理など、さまざまな産業で応用されています。

製造業、自動車、エレクトロニクス、製薬など、各業界で自動化や品質管理の需要が高まっているため、マシンビジョンシステムの採用が増加しており、予測期間中の市場成長を刺激します。これらのシステムは生産効率を高め、エラーを減らし、一貫した製品品質を保証します。さらに、人工知能（AI）やディープラーニング（深層学習）技術の登場により、マシンビジョンが画像解析やパターン認識タスクでより高い精度と汎用性を達成できるようになり、製品の採用率が加速しています。さらに、スマートシティ、交通、ヘルスケアなど様々な用途で安全性と監視の必要性が高まっているため、リアルタイムの監視と脅威検出のためにマシンビジョンが広く統合されていることが、市場の成長を促進しています。さらに、カメラ、センサー、処理ハードウェアのコストが低下し、マシンビジョンソリューションがより手頃な価格になり、幅広い企業が利用できるようになったことも、市場成長を後押ししています。

マシンビジョン市場動向と促進要因：

人工知能とディープラーニングの進歩

人工知能（AI）とディープラーニングの継続的な進歩により、マシンビジョンシステムの能力が大幅に向上しています。AIアルゴリズム、特に畳み込みニューラルネットワーク（CNN）のようなディープラーニング技術は、画像処理とパターン認識に革命をもたらしました。膨大なデータセットから学習する能力により、マシンビジョンシステムは現在、物体、顔、シーンを正確に識別し、分類することができます。この進歩により、顔認識、自律走行車、医療用画像処理、セキュリティ監視などのアプリケーションで目覚ましい改善が見られています。AIが進化を続ける中、マシンビジョンはより洗練され、適応性が高く、さらに複雑な視覚課題に取り組むことができるようになり、マシンビジョン分野の成長とイノベーションをさらに促進すると期待されています。

インダストリー4.0と自動化の到来

インダストリー4.0の到来と、さまざまな産業における自動化の普及は、市場成長を促進する主な要因です。スマートマニュファクチャリングの時代、企業は生産プロセスの最適化、一貫した製品品質の確保、不良品の最小化に努めています。マシンビジョン技術は、製造ワークフロー全体を通して自動検査、正確な欠陥検出、リアルタイムの品質管理を提供することで、これらの目的を達成する上で重要な役割を果たしています。マシンビジョンをロボットシステムやモノのインターネット（IoT）機器と統合することで、企業は作業を合理化し、人的ミスを減らし、全体的な効率を高めることができます。生産性向上と運用コスト削減の絶え間ない追求が、産業分野におけるマシンビジョンソリューションの需要を後押しし続けています。

アプリケーションと業種の拡大

マシンビジョンは汎用性が高いため、様々なアプリケーションや業界で広く採用されています。マシンビジョンは従来の製造業だけでなく、農業、ヘルスケア、小売業、エンターテイメントなど様々な分野で利用されています。農業分野では、作物のモニタリング、収穫量予測、精密農業に役立っています。ヘルスケア分野では、医療診断、画像解析、ロボット支援手術などに役立っています。小売業界では、レジ不要のチェックアウトシステム、在庫管理、顧客分析に役立っています。さらに、マシンビジョンは、ジェスチャー認識や拡張現実（AR）体験のために、エンターテインメントやゲームで採用されることが増えています。プロセスを強化し、貴重な洞察を提供し、様々な領域で意思決定を改善する技術の能力は、マシンビジョン市場の成長を刺激すると思われます。

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査目的
• 利害関係者
• データソース
  • 一次情報
  • 二次情報
• 市場推定
  • ボトムアップアプローチ
  • トップダウンアプローチ
• 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

• 概要
• 主要産業動向

第5章 マシンビジョンの世界市場

• 市場概要
• 市場実績
• COVID-19の影響
• 市場内訳：製品別
• 市場内訳：コンポーネント別
• 市場内訳：用途別
• 市場内訳：産業別
• 市場内訳：地域別
• 市場予測
• SWOT分析
  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威
• バリューチェーン分析
• ポーターのファイブフォース分析
  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威
• 価格分析

第6章 市場内訳：製品別

• ビジョンシステム
  • 市場動向
  • 市場予測
• カメラ
  • 市場動向
  • 市場予測
• その他
  • 市場動向
  • 市場予測

第7章 市場内訳：コンポーネント別

• ハードウェア
  • 市場動向
  • 市場予測
• ソフトウェア
  • 市場動向
  • 市場予測

第8章 市場内訳：用途別

• ポジショニング
  • 市場動向
  • 市場予測
• 識別
  • 市場動向
  • 市場予測
• 検証
  • 市場動向
  • 市場予測
• 測定
  • 市場動向
  • 市場予測
• 欠陥検出
  • 市場動向
  • 市場予測
• その他
  • 市場動向
  • 市場予測

第9章 市場内訳：産業別

• 電子・半導体
  • 市場動向
  • 市場予測
• 自動車
  • 市場動向
  • 市場予測
• 医療・医薬品
  • 市場動向
  • 市場予測
• 食品、包装、印刷
  • 市場動向
  • 市場予測
• セキュリティと監視
  • 市場動向
  • 市場予測
• インテリジェント交通システム
  • 市場動向
  • 市場予測
• その他
  • 市場動向
  • 市場予測

第10章 市場内訳：地域別

• アジア太平洋
  • 市場動向
  • 市場予測
• 欧州
  • 市場動向
  • 市場予測
• 北米
  • 市場動向
  • 市場予測
• 中東・アフリカ
  • 市場動向
  • 市場予測
• ラテンアメリカ
  • 市場動向
  • 市場予測

第11章 競合情勢

• 市場構造
• 主要企業
• 主要企業のプロファイル
  • 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

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

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