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商品編碼

2068732

機器視覺自動化市場預測至2034年—按組件、系統類型、產業、應用、最終用戶和地區分類的全球分析

Machine Vision Automation Market Forecasts to 2034 - Global Analysis By Component (Cameras, Frame Grabbers, Processors, Lighting Systems, Software Platforms and Other Components), System Type, Industry, Application, End User and Geography

出版日期: 2026年06月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球機器視覺自動化市場規模將達到 125 億美元，並在預測期內以 17.4% 的複合年成長率成長，到 2034 年將達到 448 億美元。

機器視覺自動化是指利用攝影機、感測器和人工智慧系統，使機器能夠對農業和工業流程進行視覺檢測、分析和解讀。在農業領域，它被用於作物品質評估、分類、分級、病害檢測和機器人收割。機器視覺系統能夠提高精確度、速度和一致性，同時減少對人工的依賴。這些技術已被廣泛應用於智慧農業設備和食品加工生產線。對精密農業和品管日益成長的需求正在推動機器視覺系統在全球範圍內的普及應用。

對品質檢驗的需求日益成長

製造商正在擴大自動化視覺檢測解決方案的應用範圍，以提高缺陷檢測精度並減少生產誤差。對維持產品品質標準一致性的日益重視也是推動系統普及的因素。與人工檢測相比，工業自動化縮短了檢查週期。電子和汽車產業產量的成長正在加速這項技術的應用。將成像系統整合到生產線中提高了營運效率。這些因素共同推動了市場成長。

高昂的系統實施成本

先進的影像處理硬體、感測器和處理單元需要大量的初期投資。將這些系統與現有生產基礎設施整合，進一步增加了實施的複雜性。中小型製造商在採用這些技術時往往面臨預算限制。維護和校準成本也會增加整體營運成本。此外，獲得熟練的技術人員也是實施過程中的一大挑戰。所有這些因素共同阻礙了這些技術更廣泛的市場滲透。

人工智慧缺陷檢測系統

人工智慧 (AI) 能夠即時、更精準地識別表面缺陷和產品不均勻性，這推動了基於 AI 的缺陷檢測系統的應用。在全球工業環境中，製造商正日益整合深度學習演算法、智慧影像分析和自動分類模型，以提高偵測精度和產品品質。對智慧品管解決方案的需求正在穩步成長。由於電腦視覺技術的不斷創新，其應用範圍也不斷擴大。這些進步有望顯著促進市場成長。

複雜環境下的精度局限性

光照條件、物體紋理和生產速度的變化都會降低偵測可靠性。高速生產線可能會出現運動模糊和影像不一致的情況。複雜的產品形狀會進一步影響系統精確度。環境干擾也會影響感測器性能。這些限制會導致誤報和漏檢缺陷。這些挑戰正在限制市場發展。

新型冠狀病毒（COVID-19）的影響：

由於勞動力短缺和營運中斷，新冠疫情加速了製造業自動化的普及。隨著企業致力於減少人工偵測流程，整體機器視覺系統的需求也隨之成長。初期，供應鏈中斷延緩了設備的部署與安裝。然而，製造商不斷增加對自動化技術的投資，以增強生產的韌性。疫情後的經濟復甦進一步強化了對智慧檢測系統的需求。對非接觸式品管方法的重視也促進了自動化技術的應用。總體而言，疫情對市場的長期成長產生了積極影響。

在預測期內，2D視覺系統細分市場預計將佔據最大的市場佔有率。

由於其成本效益和對汽車製造的適用性，預計2D視覺系統在預測期內將佔據最大的市場佔有率。其易於整合到現有生產線中，進一步推動了其應用。高處理速度和運作效率使其適用於大規模品質檢測作業。對標準化檢測解決方案日益成長的需求正在鞏固該領域的領先地位。成像技術的不斷進步也進一步提升了其性能。

預計在預測期內，軟體平台細分市場將呈現最高的複合年成長率。

在預測期內，受機器學習偵測系統在先進製造環境中的廣泛應用所推動，軟體平台領域預計將呈現最高的成長率。這些軟體平台能夠實現即時影像處理、缺陷分類和預測性品管。全球製造商在工業自動化應用中擴大採用基於雲端的視覺系統、智慧檢測演算法和自適應學習模型，以提高精度和營運效率，這正在推動軟體平台領域的成長。對靈活且擴充性的檢測解決方案日益成長的需求，也進一步加速了其普及應用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於美國和加拿大先進製造技術的高滲透率。該地區受益於汽車和電子產業對機器視覺系統的早期應用。對智慧工廠發展的持續投資進一步推動了市場擴張。主要自動化技術供應商的存在也為創新和應用提供了支持。對品管標準的嚴格把控也是推動技術應用的重要因素。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於中國、日本、印度、韓國和東南亞等國家自動化技術的快速普及。該地區的製造商正加大對先進檢測技術的投資，以提高生產效率。政府支持工業現代化的措施進一步加速了自動化技術的應用。對高品質製成品的需求不斷成長，也推動了市場成長。新興經濟體的智慧製造基礎設施也持續擴展。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域細分
- 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性評估）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

Cognex Corporation
Keyence Corporation
Basler AG
Omron Corporation
Teledyne Technologies Incorporated
Siemens AG
ABB Ltd.
SICK AG
National Instruments Corporation
Datalogic SpA
FLIR Systems Inc.
Intel Corporation
MVTec Software GmbH
Allied Vision Technologies GmbH
Celex Vision

簡介目錄圖表

Product Code: SMRC37016

According to Stratistics MRC, the Global Machine Vision Automation Market is accounted for $12.5 billion in 2026 and is expected to reach $44.8 billion by 2034 growing at a CAGR of 17.4% during the forecast period. Machine vision automation refers to the use of cameras, sensors, and artificial intelligence systems to enable machines to visually inspect, analyze, and interpret agricultural and industrial processes. In agriculture, it is used for crop quality assessment, sorting, grading, disease detection, and robotic harvesting. Machine vision systems improve accuracy, speed, and consistency while reducing human labor dependency. These technologies are widely integrated into smart farming equipment and food processing lines. Rising demand for precision agriculture and quality control is driving adoption of machine vision systems globally.

Market Dynamics:

Driver:

Rising quality inspection demand

Manufacturers are increasingly deploying automated visual inspection solutions to improve defect detection accuracy and reduce production errors. Growing emphasis on maintaining consistent product quality standards is further supporting system deployment. Industrial automation is enabling faster inspection cycles compared to manual processes. Increasing production volumes in electronics and automotive sectors is strengthening technology utilization. Integration of imaging systems into production lines is improving operational efficiency. These factors are collectively supporting market growth.

Restraint:

High system installation costs

Advanced imaging hardware, sensors, and processing units require significant upfront investment. System integration with existing production infrastructure further increases implementation complexity. Small and medium-scale manufacturers often face budget constraints in adopting these technologies. Maintenance and calibration expenses add to overall operational costs. Skilled workforce requirements also contribute to deployment challenges. These factors collectively restrict wider market penetration.

Opportunity:

AI-based defect detection systems

Artificial intelligence enables more accurate identification of surface defects and product inconsistencies in real time. This is driving AI-based defect detection systems as manufacturers increasingly integrate deep learning algorithms, intelligent imaging analytics, and automated classification models to improve inspection accuracy and enhance production quality across industrial environments globally. Demand for intelligent quality control solutions is rising steadily. Continuous innovation in computer vision technologies is expanding application scope. These developments are expected to significantly support market expansion.

Threat:

Accuracy limitations in complex environments

Variations in lighting conditions, object textures, and production speeds can reduce detection reliability. High-speed manufacturing lines may create motion blur and imaging inconsistencies. Complex product geometries further impact system precision. Environmental disturbances can affect sensor performance. These limitations may lead to false detections or missed defects. Such challenges act as a key market restraint.

Covid-19 Impact:

The COVID-19 pandemic accelerated automation adoption across manufacturing industries due to workforce shortages and operational disruptions. Demand for machine vision systems increased as companies focused on reducing manual inspection processes. Supply chain interruptions initially slowed equipment deployment and installations. However, manufacturers increasingly invested in automation technologies to improve production resilience. Post-pandemic recovery further strengthened demand for smart inspection systems. Emphasis on contactless quality control methods also supported adoption. Overall, the pandemic positively influenced long-term market growth.

The 2D vision systems segment is expected to be the largest during the forecast period

The 2D vision systems segment is expected to account for the largest market share during the forecast period as these systems offer cost-effective and automotive manufacturing. Their ease of integration into existing production lines further supports widespread adoption. High processing speed and operational efficiency make them suitable for large-scale quality inspection tasks. Increasing demand for standardized inspection solutions strengthens segment dominance. Continuous improvements in imaging technology further enhance performance.

The software platforms segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the software platforms segment is predicted to witness the highest growth rate due to machine learning-based inspection systems across advanced manufacturing environments. Software platforms enable real-time image processing, defect classification, and predictive quality control. This is driving software platforms segment growth as manufacturers increasingly deploy cloud-based vision systems, intelligent inspection algorithms, and adaptive learning models to enhance accuracy and operational efficiency across industrial automation applications globally. Rising demand for flexible and scalable inspection solutions is further accelerating adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to high adoption of advanced manufacturing technologies across the United States and Canada. The region benefits from early adoption of machine vision systems in automotive and electronics industries. Continuous investment in smart factory development further strengthens market expansion. Presence of leading automation technology providers supports innovation and deployment. Strong focus on quality control standards also drives adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by increasing automation adoption across countries such as China, Japan, India, South Korea, and Southeast Asia. Manufacturers in the region are increasingly investing in advanced inspection technologies to improve production efficiency. Government initiatives supporting industrial modernization further accelerate adoption. Rising demand for high-quality manufactured goods strengthens market growth. Expansion of smart manufacturing infrastructure continues across emerging economies.

Key players in the market

Some of the key players in Machine Vision Automation Market include Cognex Corporation, Keyence Corporation, Basler AG, Omron Corporation, Teledyne Technologies Incorporated, Siemens AG, ABB Ltd., SICK AG, National Instruments Corporation, Datalogic S.p.A., FLIR Systems Inc., Intel Corporation, MVTec Software GmbH, Allied Vision Technologies GmbH and Celex Vision.

Key Developments:

In May 2026, Cognex Corporation announced the general availability of OneVision(TM), its new cloud-to-edge collaborative AI vision development environment designed to simplify and scale AI-powered inspection across manufacturing operations. This software platform launch enables manufacturers to train and manage deep-learning models centrally in the cloud while executing deterministic inspections locally at the edge, cutting scaling costs by up to 50 percent for global multi-site rollouts.

In February 2026, Keyence Corporation introduced its automated One-Click Calibration software ecosystem designed to unify 2D machine vision setups directly with major industrial robotic controllers. This software launch automates camera-to-robot coordinate mapping and lens distortion correction in seconds, eliminating manual drift calibration steps to preserve pick-and-place accuracy while shortening line changeover times.

Components Covered:

Cameras
Frame Grabbers
Processors
Lighting Systems
Software Platforms
Other Components

System Types Covered:

1D Vision Systems
2D Vision Systems
3D Vision Systems
Thermal Vision Systems
Other System Types

Industries Covered:

Electronics Industry
Automotive Industry
Pharmaceutical Industry
Food and Beverage Industry
Logistics Industry
Other Industries

Applications Covered:

Quality Inspection Applications
Identification and Tracking Applications
Measurement and Gauging Applications
Robotic Guidance Applications
Other Applications

End Users Covered:

Manufacturing Enterprises
Automotive OEMs
Electronics Manufacturers
Logistics and Warehousing Companies
Other End Users

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Machine Vision Automation Market, By Component

5.1 Cameras
5.2 Frame Grabbers
5.3 Processors
5.4 Lighting Systems
5.5 Software Platforms
5.6 Other Components

6 Global Machine Vision Automation Market, By System Type

6.1 1D Vision Systems
6.2 2D Vision Systems
6.3 3D Vision Systems
6.4 Thermal Vision Systems
6.5 Other System Types

7 Global Machine Vision Automation Market, By Industry

7.1 Electronics Industry
7.2 Automotive Industry
7.3 Pharmaceutical Industry
7.4 Food and Beverage Industry
7.5 Logistics Industry
7.6 Other Industries

8 Global Machine Vision Automation Market, By Application

8.1 Quality Inspection Applications
8.2 Identification and Tracking Applications
8.3 Measurement and Gauging Applications
8.4 Robotic Guidance Applications
8.5 Other Applications

9 Global Machine Vision Automation Market, By End User

9.1 Manufacturing Enterprises
9.2 Automotive OEMs
9.3 Electronics Manufacturers
9.4 Logistics and Warehousing Companies
9.5 Other End Users

10 Global Machine Vision Automation Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 Cognex Corporation
13.2 Keyence Corporation
13.3 Basler AG
13.4 Omron Corporation
13.5 Teledyne Technologies Incorporated
13.6 Siemens AG
13.7 ABB Ltd.
13.8 SICK AG
13.9 National Instruments Corporation
13.10 Datalogic S.p.A.
13.11 FLIR Systems Inc.
13.12 Intel Corporation
13.13 MVTec Software GmbH
13.14 Allied Vision Technologies GmbH
13.15 Celex Vision

簡介目錄圖表

List of Tables

Table 1 Global Machine Vision Automation Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Machine Vision Automation Market, By Component (2023-2034) ($MN)
Table 3 Global Machine Vision Automation Market, By Cameras (2023-2034) ($MN)
Table 4 Global Machine Vision Automation Market, By Frame Grabbers (2023-2034) ($MN)
Table 5 Global Machine Vision Automation Market, By Processors (2023-2034) ($MN)
Table 6 Global Machine Vision Automation Market, By Lighting Systems (2023-2034) ($MN)
Table 7 Global Machine Vision Automation Market, By Software Platforms (2023-2034) ($MN)
Table 8 Global Machine Vision Automation Market, By Other Components (2023-2034) ($MN)
Table 9 Global Machine Vision Automation Market, By System Type (2023-2034) ($MN)
Table 10 Global Machine Vision Automation Market, By 1D Vision Systems (2023-2034) ($MN)
Table 11 Global Machine Vision Automation Market, By 2D Vision Systems (2023-2034) ($MN)
Table 12 Global Machine Vision Automation Market, By 3D Vision Systems (2023-2034) ($MN)
Table 13 Global Machine Vision Automation Market, By Thermal Vision Systems (2023-2034) ($MN)
Table 14 Global Machine Vision Automation Market, By Other System Types (2023-2034) ($MN)
Table 15 Global Machine Vision Automation Market, By Industry (2023-2034) ($MN)
Table 16 Global Machine Vision Automation Market, By Electronics Industry (2023-2034) ($MN)
Table 17 Global Machine Vision Automation Market, By Automotive Industry (2023-2034) ($MN)
Table 18 Global Machine Vision Automation Market, By Pharmaceutical Industry (2023-2034) ($MN)
Table 19 Global Machine Vision Automation Market, By Food and Beverage Industry (2023-2034) ($MN)
Table 20 Global Machine Vision Automation Market, By Logistics Industry (2023-2034) ($MN)
Table 21 Global Machine Vision Automation Market, By Other Industries (2023-2034) ($MN)
Table 22 Global Machine Vision Automation Market, By Application (2023-2034) ($MN)
Table 23 Global Machine Vision Automation Market, By Quality Inspection Applications (2023-2034) ($MN)
Table 24 Global Machine Vision Automation Market, By Identification and Tracking Applications (2023-2034) ($MN)
Table 25 Global Machine Vision Automation Market, By Measurement and Gauging Applications (2023-2034) ($MN)
Table 26 Global Machine Vision Automation Market, By Robotic Guidance Applications (2023-2034) ($MN)
Table 27 Global Machine Vision Automation Market, By Other Applications (2023-2034) ($MN)
Table 28 Global Machine Vision Automation Market, By End User (2023-2034) ($MN)
Table 29 Global Machine Vision Automation Market, By Manufacturing Enterprises (2023-2034) ($MN)
Table 30 Global Machine Vision Automation Market, By Automotive OEMs (2023-2034) ($MN)
Table 31 Global Machine Vision Automation Market, By Electronics Manufacturers (2023-2034) ($MN)
Table 32 Global Machine Vision Automation Market, By Logistics and Warehousing Companies (2023-2034) ($MN)
Table 33 Global Machine Vision Automation Market, By Other End Users (2023-2034) ($MN)