
Global Automated Defect Detection for EV Components Market Growth (Status and Outlook) 2025-2031
Description
According to this study, the global Automated Defect Detection for EV Components market size will reach US$ 3493 million by 2031.
Automatic defect detection for EV components refers to the use of computer vision, artificial intelligence (AI), machine learning (ML) and sensor technology to perform automated, high-precision quality inspection of core components of electric vehicles (such as batteries, motors, electronic control systems, charging ports, etc.), identify surface defects, structural abnormalities or functional failures, replace traditional manual inspection, and improve efficiency and accuracy.
United States market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Automated Defect Detection for EV Components players cover Isra Vision, Inovision, Grupo Álava, Durr, Nikon, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “Automated Defect Detection for EV Components Industry Forecast” looks at past sales and reviews total world Automated Defect Detection for EV Components sales in 2024, providing a comprehensive analysis by region and market sector of projected Automated Defect Detection for EV Components sales for 2025 through 2031. With Automated Defect Detection for EV Components sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Automated Defect Detection for EV Components industry.
This Insight Report provides a comprehensive analysis of the global Automated Defect Detection for EV Components landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Automated Defect Detection for EV Components portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Automated Defect Detection for EV Components market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Automated Defect Detection for EV Components and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Automated Defect Detection for EV Components.
This report presents a comprehensive overview, market shares, and growth opportunities of Automated Defect Detection for EV Components market by product type, application, key players and key regions and countries.
Segmentation by Type:
Visual Inspection System
Laser Inspection System
Ultrasonic Inspection System
Others
Segmentation by Application:
Passenger Cars
Commercial Vehicles
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Isra Vision
Inovision
Grupo Álava
Durr
Nikon
Sciemetric
Micro-Epsilon
Maddox AI
Intelgic
Midwest Engineered Systems
Please note: The report will take approximately 2 business days to prepare and deliver.
Automatic defect detection for EV components refers to the use of computer vision, artificial intelligence (AI), machine learning (ML) and sensor technology to perform automated, high-precision quality inspection of core components of electric vehicles (such as batteries, motors, electronic control systems, charging ports, etc.), identify surface defects, structural abnormalities or functional failures, replace traditional manual inspection, and improve efficiency and accuracy.
United States market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
China market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Europe market for Automated Defect Detection for EV Components is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.
Global key Automated Defect Detection for EV Components players cover Isra Vision, Inovision, Grupo Álava, Durr, Nikon, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.
LPI (LP Information)' newest research report, the “Automated Defect Detection for EV Components Industry Forecast” looks at past sales and reviews total world Automated Defect Detection for EV Components sales in 2024, providing a comprehensive analysis by region and market sector of projected Automated Defect Detection for EV Components sales for 2025 through 2031. With Automated Defect Detection for EV Components sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Automated Defect Detection for EV Components industry.
This Insight Report provides a comprehensive analysis of the global Automated Defect Detection for EV Components landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Automated Defect Detection for EV Components portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Automated Defect Detection for EV Components market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Automated Defect Detection for EV Components and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Automated Defect Detection for EV Components.
This report presents a comprehensive overview, market shares, and growth opportunities of Automated Defect Detection for EV Components market by product type, application, key players and key regions and countries.
Segmentation by Type:
Visual Inspection System
Laser Inspection System
Ultrasonic Inspection System
Others
Segmentation by Application:
Passenger Cars
Commercial Vehicles
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Isra Vision
Inovision
Grupo Álava
Durr
Nikon
Sciemetric
Micro-Epsilon
Maddox AI
Intelgic
Midwest Engineered Systems
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
91 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 Global by Company
- 4 World Historic Review for Wall-mounted Large Industrial Displays by Geographic Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Manufacturing Cost Structure Analysis
- 11 Marketing, Distributors and Customer
- 12 World Forecast Review for Wall-mounted Large Industrial Displays by Geographic Region
- 13 Key Players Analysis
- 14 Research Findings and Conclusion
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