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市場調查報告書

商品編碼

2120997

人工智慧驅動的工業視覺系統市場預測至2034年——全球組件、視覺類型、技術、應用、最終用戶和區域分析

AI-Based Industrial Vision Systems Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Vision Type, Technology, Application, End User and By Geography

出版日期: 2026年08月01日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 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，全球基於人工智慧的工業視覺系統市場預計將在 2026 年達到 30 億美元，並在預測期內以 14.3% 的複合年成長率成長，到 2034 年達到 88 億美元。

基於人工智慧的工業視覺系統是指利用人工智慧和深度學習技術在製造和物流環境中執行視覺分析任務的自動化光學檢測平台。這些系統整合了高效能攝影機、專用照明陣列和神經網路處理器，能夠執行物體辨識、缺陷分類、尺寸測量和機器人引導等功能。它們透過邊緣運算架構和雲端連接平台部署，並與可程式邏輯控制器 (PLC) 和機器人機械手臂協同工作。這項技術能夠實現自適應檢測，透過持續學習生產資料來提高檢測精度，而無需針對每種缺陷類型進行明確的基於規則的程式設計。

製造業自動化快速擴張

隨著全球製造商加速投資自動化以提高產品品質一致性和生產效率，對基於人工智慧的工業視覺系統的需求也在穩步成長。深度學習與工業相機的融合，使得系統能夠偵測到人類視覺和判斷力難以企及的微小缺陷。視覺引導定位對於部署協作機器人進行靈活的零件搬運至關重要。領先的汽車和電子製造商正在其生產線上全面採用人工智慧視覺技術。這些自動化趨勢共同推動了各製造業對智慧檢測和引導系統的持續採購需求。

訓練資料要求

訓練精確的深度學習模型需要大量的標註影像數據，這對於採用基於人工智慧的工業視覺技術的製造商來說是一個主要障礙。每個產品或瑕疵類別都需要數百上千個標註的樣本，這需要大量的人工標註工作。小批量生產和低缺陷率進一步增加了資料集建置的困難度。許多製造商缺乏建立有效訓練集所需的資料科學專業知識。這些數據需求增加了實施的時間和成本，限制了其在小批量生產和高度客製化生產環境中的部署。

邊緣人工智慧處理技術的進步

邊緣運算硬體的進步為基於人工智慧的工業視覺系統創造了巨大的機遇，降低了延遲並減少了對雲端的依賴。嵌入式神經網路加速器能夠直接在相機模組內進行即時推理，從而消除了與遠端伺服器的通訊延遲。這些邊緣設備能夠在網路連線受限的設施和對資料主權要求嚴格的環境中可靠運作。半導體製造商和視覺系統供應商之間的合作正在加速緊湊型、低功耗人工智慧相機的開發。隨著邊緣處理成本的降低，目標市場正在擴展到以前無法負擔部署基於伺服器的視覺基礎設施的小規模製造企業。

人員短缺是阻礙因素。

機器視覺、深度學習和工業自動化等領域專業人才的嚴重短缺，對市場擴張構成重大威脅。每次部署都需要專家能夠選擇光學元件、設計照明、訓練神經網路並與生產控制系統整合。科技公司和研究機構對這類人才的競爭推高了部署成本。許多製造業地區缺乏培養具備相關跨領域技能畢業生的教育計畫。這些人力資本限制會延緩專案執行，並限制人工智慧視覺解決方案供應商的擴充性。

新型冠狀病毒（COVID-19）的影響：

新冠疫情擾亂了機器視覺組件的供應鏈，同時也加速了對自動化偵測和遠端監控功能的需求。維持社交距離的要求使得生產線上的人工目視偵測站難以實施。疫情後，保障勞動力永續性和提高品質標準的限制進一步加大了對人工智慧視覺系統的投資。製造商越來越重視能夠減少關鍵品質檢驗任務中人工操作的強大自動化策略。

在預測期內，硬體產業預計將佔據最大的市場佔有率。

在預測期內，硬體領域預計將佔據最大的市場佔有率。這主要是由於工業相機、照明系統、神經網路加速器和通訊介面等設備需要大量的資本投入。硬體組件是人工智慧視覺系統物理資料收集和處理的基礎。領先的相機和感測器製造商不斷擴展其工業產品線，推出更高解析度、影格速率更快的型號。商業製造商則優先考慮專為工廠環境設計的堅固耐用的組件。生產線視覺硬體的定期更換週期將確保整個預測期內穩定的供應量。

預計在預測期內，3D視覺系統產業將呈現最高的複合年成長率。

在預測期內，受機器人引導、體積測量和複雜形狀檢驗等領域應用不斷擴展的推動，3D視覺系統3D市場預計將呈現最高的成長率。 3D視覺使機器人能夠感知深度並在動態環境中操控不規則形狀的物體。隨著產品客製化趨勢的加劇，消費者對軟性製造的需求也不斷成長。結構化光學感測器和飛行時間（ToF）感測器的成本不斷降低，使得這些技術更容易被大眾接受。醫療設備和航太製造領域對尺寸精度的監管要求，也推動了對先進3D檢測技術的投資。

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，這主要得益於其先進的製造自動化基礎設施以及大規模的汽車和電子產品生產設施。美國是該地區需求的主要驅動力，這主要歸功於其集中了許多機器視覺製造商，以及在工業應用中率先採用深度學習技術。強大的機器人系統整合商網路正在推動視覺引導自動化領域的持續創新。政府支持先進製造業的措施正在促進技術投資。有利於工業自動化的法規結構將在整個預測期內鞏固北美的市場領導地位。

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、越南和韓國的快速工業化和不斷擴大的電子製造能力。政府主導的智慧製造舉措正在推動政府主導的先進視覺技術採購。日本在高精度相機和感光元件組件的生產方面保持領先地位。人事費用的上升正在加速從人工檢測到自動化視覺系統的轉變。國內汽車和消費電子產業的成長正在全部區域帶來強勁的需求成長。

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：需經可行性確認）。
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
Teledyne Technologies
Basler AG
Omron Corporation
SICK AG
IDS Imaging Development Systems
National Instruments
Intel Corporation
NVIDIA Corporation
Advantech Co., Ltd.
Siemens AG
ABB Ltd.
Fanuc Corporation
Hikrobot
Mitsubishi Electric

簡介目錄圖表

Product Code: SMRC39162

According to Stratistics MRC, the Global AI-Based Industrial Vision Systems Market is accounted for $3.0 billion in 2026 and is expected to reach $8.8 billion by 2034 growing at a CAGR of 14.3% during the forecast period. AI-based industrial vision systems refer to automated optical inspection platforms that employ artificial intelligence and deep learning to perform visual analysis tasks in manufacturing and logistics environments. These systems integrate high-performance cameras, specialized lighting arrays, and neural network processors to execute object recognition, defect classification, dimensional measurement, and robotic guidance functions. They are deployed through edge computing architectures and cloud-connected platforms interfaced with programmable logic controllers and robotic manipulators. The technology enables adaptive inspection capabilities that improve accuracy through continuous learning from production data without requiring explicit rule-based programming for each defect type.

Market Dynamics:

Driver:

Manufacturing Automation Surging

AI-based industrial vision systems are experiencing robust demand as global manufacturers accelerate automation investments to improve quality consistency and operational throughput. The integration of deep learning with industrial cameras enables detection of subtle defects that exceed human visual acuity and consistency. Collaborative robot deployments require vision-guided positioning for flexible part handling. Major automotive and electronics producers are standardizing AI vision across production lines. These converging automation trends generate sustained procurement momentum for intelligent inspection and guidance systems across diverse manufacturing sectors.

Restraint:

Training Data Requirements

The substantial volume of annotated image data required to train accurate deep learning models represents a significant barrier for manufacturers adopting AI-based industrial vision. Each unique product and defect category demands hundreds or thousands of labeled examples, which requires significant manual annotation effort. Small production batches and rare defect occurrences complicate dataset assembly. Many manufacturers lack the data science expertise to curate effective training sets. These data requirements elevate implementation timelines and costs, constraining adoption in low-volume or highly customized production environments.

Opportunity:

Edge AI Processing Advancing

Advances in edge computing hardware are creating substantial opportunities for AI-based industrial vision systems with reduced latency and cloud dependency. Embedded neural network accelerators enable real-time inference directly within camera modules, eliminating communication delays to remote servers. These edge devices operate reliably in facilities with limited network connectivity or stringent data sovereignty requirements. Partnerships between semiconductor manufacturers and vision system vendors accelerate development of compact, low-power AI cameras. As edge processing costs decline, the addressable market expands to smaller manufacturing operations previously unable to justify server-based vision infrastructure.

Threat:

Talent Scarcity Constraining

The acute shortage of professionals with combined expertise in machine vision, deep learning, and industrial automation poses a significant threat to market expansion. Each deployment requires specialists capable of selecting optics, designing lighting, training neural networks, and integrating with production control systems. Competition for this talent from technology companies and research institutions elevates implementation costs. Many manufacturing regions lack educational programs producing graduates with relevant interdisciplinary skills. These human capital constraints slow project execution and may limit the scalability of AI vision solution providers.

Covid-19 Impact:

The COVID-19 pandemic disrupted machine vision component supply chains while accelerating demand for automated inspection and remote monitoring capabilities. Social distancing requirements made manual visual inspection stations impractical on production lines. Post-pandemic, sustained labor availability constraints and heightened quality standards have reinforced investment in AI vision systems. Manufacturers increasingly prioritize resilient automation strategies that reduce dependence on manual operators for critical quality verification tasks.

The hardware segment is expected to be the largest during the forecast period

The hardware segment is expected to account for the largest market share during the forecast period, due to the substantial capital investment required for industrial cameras, lighting systems, neural network accelerators, and communication interfaces. Hardware components form the physical data acquisition and processing foundation of AI vision systems. Major camera and sensor manufacturers continue to expand their industrial portfolios with higher resolution and faster frame rate models. Commercial manufacturers prioritize ruggedized components designed for factory environments. The replacement cycle for production line vision hardware ensures consistent procurement volumes throughout the forecast period.

The 3D vision systems segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the 3D vision systems segment is predicted to witness the highest growth rate, driven by expanding applications in robotic guidance, volumetric measurement, and complex geometry verification. Three-dimensional vision enables robots to perceive depth and manipulate irregular objects in dynamic environments. Consumer demand for flexible manufacturing accelerates as product customization trends intensify. Declining costs of structured light and time-of-flight sensors improve accessibility. Regulatory requirements for dimensional accuracy in medical device and aerospace manufacturing stimulate investment in advanced three-dimensional inspection capabilities.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced manufacturing automation infrastructure and substantial automotive and electronics production bases. The United States leads regional demand through concentration of major machine vision manufacturers and early adoption of deep learning in industrial applications. Strong presence of robotics integrators drives continuous innovation in vision-guided automation. Government initiatives supporting domestic advanced manufacturing reinforce technology investment. Favorable regulatory frameworks for industrial automation support North American market leadership throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid industrialization and expanding electronics manufacturing capacity across China, Vietnam, and South Korea. Government smart manufacturing initiatives drive state-supported procurement of advanced vision technologies. Japan maintains leadership in precision camera and sensor component production. Rising labor costs accelerate the shift from manual inspection to automated vision systems. Growing domestic automotive and consumer electronics industries create robust demand growth throughout the region.

Key players in the market

Some of the key players in AI-Based Industrial Vision Systems Market include Cognex Corporation, Keyence Corporation, Omron Corporation, Basler AG, Teledyne Technologies, SICK AG, ISRA Vision AG, STEMMER IMAGING AG, Matrox Electronic Systems Ltd., and Datalogic S.p.A..

Key Developments:

In June 2026, Cognex Corporation launched a next-generation AI vision system with self-learning defect detection capabilities that automatically adapts to new product variants without requiring manual retraining or extensive annotated image datasets.

In May 2026, Keyence Corporation expanded its industrial vision portfolio with a high-speed three-dimensional inspection camera featuring integrated edge AI processing for real-time dimensional verification at conveyor line speeds exceeding five meters per second.

In April 2026, Omron Corporation secured a strategic partnership with a major logistics provider to deploy AI-based vision systems for automated parcel dimensioning and damage detection across regional distribution centers throughout Asia Pacific.

Components Covered:

Hardware
Software
Services

Vision Types Covered:

2D Vision Systems
3D Vision Systems
Hyperspectral Vision Systems
Thermal Vision Systems
Multispectral Vision Systems

Technologies Covered:

Artificial Intelligence
Deep Learning
Computer Vision
Edge AI
Image Processing
Neural Networks

Applications Covered:

Quality Inspection
Object Detection
Robot Guidance
Pick-and-Place
Measurement & Metrology
Predictive Maintenance
Process Automation

End Users Covered:

Automotive
Electronics
Food & Beverage
Pharmaceuticals
Semiconductors
Logistics & Warehousing
Metal Fabrication

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 AI-Based Industrial Vision Systems Market, By Component

5.1 Hardware
5.2 Software
5.3 Services

6 Global AI-Based Industrial Vision Systems Market, By Vision Type

6.1 2D Vision Systems
6.2 3D Vision Systems
6.3 Hyperspectral Vision Systems
6.4 Thermal Vision Systems
6.5 Multispectral Vision Systems

7 Global AI-Based Industrial Vision Systems Market, By Technology

7.1 Artificial Intelligence
7.2 Deep Learning
7.3 Computer Vision
7.4 Edge AI
7.5 Image Processing
7.6 Neural Networks

8 Global AI-Based Industrial Vision Systems Market, By Application

8.1 Quality Inspection
8.2 Object Detection
8.3 Robot Guidance
8.4 Pick-and-Place
8.5 Measurement & Metrology
8.6 Predictive Maintenance
8.7 Process Automation

9 Global AI-Based Industrial Vision Systems Market, By End User

9.1 Automotive
9.2 Electronics
9.3 Food & Beverage
9.4 Pharmaceuticals
9.5 Semiconductors
9.6 Logistics & Warehousing
9.7 Metal Fabrication

10 Global AI-Based Industrial Vision Systems 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 Teledyne Technologies
13.4 Basler AG
13.5 Omron Corporation
13.6 SICK AG
13.7 IDS Imaging Development Systems
13.8 National Instruments
13.9 Intel Corporation
13.10 NVIDIA Corporation
13.11 Advantech Co., Ltd.
13.12 Siemens AG
13.13 ABB Ltd.
13.14 Fanuc Corporation
13.15 Hikrobot
13.16 Mitsubishi Electric

簡介目錄圖表

List of Tables

Table 1 Global AI-Based Industrial Vision Systems Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AI-Based Industrial Vision Systems Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global AI-Based Industrial Vision Systems Market Outlook, By Hardware (2023-2034) ($MN)
Table 4 Global AI-Based Industrial Vision Systems Market Outlook, By Software (2023-2034) ($MN)
Table 5 Global AI-Based Industrial Vision Systems Market Outlook, By Services (2023-2034) ($MN)
Table 6 Global AI-Based Industrial Vision Systems Market Outlook, By Vision Type (2023-2034) ($MN)
Table 7 Global AI-Based Industrial Vision Systems Market Outlook, By 2D Vision Systems (2023-2034) ($MN)
Table 8 Global AI-Based Industrial Vision Systems Market Outlook, By 3D Vision Systems (2023-2034) ($MN)
Table 9 Global AI-Based Industrial Vision Systems Market Outlook, By Hyperspectral Vision Systems (2023-2034) ($MN)
Table 10 Global AI-Based Industrial Vision Systems Market Outlook, By Thermal Vision Systems (2023-2034) ($MN)
Table 11 Global AI-Based Industrial Vision Systems Market Outlook, By Multispectral Vision Systems (2023-2034) ($MN)
Table 12 Global AI-Based Industrial Vision Systems Market Outlook, By Technology (2023-2034) ($MN)
Table 13 Global AI-Based Industrial Vision Systems Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
Table 14 Global AI-Based Industrial Vision Systems Market Outlook, By Deep Learning (2023-2034) ($MN)
Table 15 Global AI-Based Industrial Vision Systems Market Outlook, By Computer Vision (2023-2034) ($MN)
Table 16 Global AI-Based Industrial Vision Systems Market Outlook, By Edge AI (2023-2034) ($MN)
Table 17 Global AI-Based Industrial Vision Systems Market Outlook, By Image Processing (2023-2034) ($MN)
Table 18 Global AI-Based Industrial Vision Systems Market Outlook, By Neural Networks (2023-2034) ($MN)
Table 19 Global AI-Based Industrial Vision Systems Market Outlook, By Application (2023-2034) ($MN)
Table 20 Global AI-Based Industrial Vision Systems Market Outlook, By Quality Inspection (2023-2034) ($MN)
Table 21 Global AI-Based Industrial Vision Systems Market Outlook, By Object Detection (2023-2034) ($MN)
Table 22 Global AI-Based Industrial Vision Systems Market Outlook, By Robot Guidance (2023-2034) ($MN)
Table 23 Global AI-Based Industrial Vision Systems Market Outlook, By Pick-and-Place (2023-2034) ($MN)
Table 24 Global AI-Based Industrial Vision Systems Market Outlook, By Measurement & Metrology (2023-2034) ($MN)
Table 25 Global AI-Based Industrial Vision Systems Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
Table 26 Global AI-Based Industrial Vision Systems Market Outlook, By Process Automation (2023-2034) ($MN)
Table 27 Global AI-Based Industrial Vision Systems Market Outlook, By End User (2023-2034) ($MN)
Table 28 Global AI-Based Industrial Vision Systems Market Outlook, By Automotive (2023-2034) ($MN)
Table 29 Global AI-Based Industrial Vision Systems Market Outlook, By Electronics (2023-2034) ($MN)
Table 30 Global AI-Based Industrial Vision Systems Market Outlook, By Food & Beverage (2023-2034) ($MN)
Table 31 Global AI-Based Industrial Vision Systems Market Outlook, By Pharmaceuticals (2023-2034) ($MN)
Table 32 Global AI-Based Industrial Vision Systems Market Outlook, By Semiconductors (2023-2034) ($MN)
Table 33 Global AI-Based Industrial Vision Systems Market Outlook, By Logistics & Warehousing (2023-2034) ($MN)
Table 34 Global AI-Based Industrial Vision Systems Market Outlook, By Metal Fabrication (2023-2034) ($MN)