AI Quality Inspection Market Size, Trends, In-depth Analysis, Research Report Forecast up to 2028: Pleora Technologies Inc and Robert Bosch GmbH are key players.

The increasing adoption of AI-based quality control software in the manufacturing sector is the prime factor propelling the growth of the AI quality inspection market.

As per the report, the AI quality inspection market is expected to grow at a steady pace.

The AI quality inspection procedure uses computer vision and artificial intelligence software to analyze and find any irregularities in the company's items and products. The AI quality inspection software can be developed either as a pre-trained software service or based on the machine learning model. The applications of AI quality inspection include the semiconductor, pharmaceutical, textile, automotive, and other manufacturing industries. The damaged component not detected and used in the final product manufacturing increases the operational cost and becomes an unsold product in the market due to defectiveness. The leading manufacturing companies of all nations are investing in AI-based quality inspection software to overcome the loss by identifying defective goods in the early stages of manufacturing. For example, the Toyota company lost $1.3 billion due to manufacturing defects. The growing adoption of AI quality inspection products in manufacturing firms is the main factor driving the demand for AI quality inspection solutions. In 2021, Kibernetika company provided AI-powered quality control solutions for the manufacturing industry, specifically for defect detection and process optimization. A Canadian firm called Kruger Packaging, which makes furniture from recycled materials, invested over US$22 million to implement new technological advancements like AI-assisted quality control and pollution control technology.

The AI quality inspection market has been segmented into type, end-user, and geography.

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The market has been segmented based on type into pre-trained and deep learning.
Based on the end user, the market has been segmented into semiconductor, pharmaceutical, textile, automotive, and others.

By region, North America is expected to retain a considerable market share due to AI software's expanding scope and applications, including AI quality control and inspection. Numerous American startups have dedicated their product lines to developing new models and techniques to enhance AI-assisted quality inspections. For example, IHI Corporation, one of the top manufacturers in the world, has implemented the AI-based quality control application of Boston-based startup company Neurala Inc.

The COVID-19 pandemic has negatively affected the AI quality inspection market. It caused disruptions in global supply chains, leading to delays in the production and delivery of AI-powered inspection systems. In addition, the pandemic has caused economic uncertainty and slowdown, which has led some companies to delay or cancel investments in new technology, including AI quality inspection solutions. This resulted in a slower adoption rate of AI-powered inspection systems, which slowed down the market's growth.

The major players covered in the AI quality inspection market are Intel Corp, Kitov Systems, Mitutoyo America Corporation, Landing AI, elunic AG, NEC Corporation, Robert Bosch GmbH, deevio GmbH, craftworks GmbH, Pleora Technologies Inc.

This AI quality inspection market has been analyzed into the following segments:

• By Type

o Pre-trained
o Deep learning

• By End User

o Semiconductor
o Pharmaceutical
o Automotive
o Textile
o Others

• By Geography

o North America

• United States
• Canada
• Mexico

o South America

• Brazil
• Argentina
• Others

o Europe

• United Kingdom
• Germany
• France
• Spain
• Others

o Middle East and Africa

• UAE
• Israel
• Saudi Arabia
• Others

o Asia Pacific

• Japan
• China
• India
• South Korea
• Thailand
• Taiwan
• Indonesia
• Others

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