Intel(US:INTC) GlobeNewswire News Roomยท2024-11-18 09:09Core Insights - The AI quality inspection market is projected to grow at a CAGR of 20.53%, reaching a market size of US$70.747 billion by 2029, up from US$27.808 billion in 2024 [1][3]. Market Overview - AI quality inspection utilizes software-driven artificial intelligence and vision technologies to identify inconsistencies in products across various industries, including semiconductors, pharmaceuticals, textiles, and automotive manufacturing [2][3]. - The software can be developed using machine learning models or as pre-trained services, providing significant advantages over manual quality control methods [3]. Market Drivers - The increasing adoption of AI-based quality control software in manufacturing is driven by the need to reduce operating costs associated with poor-quality products, exemplified by Toyota's loss of $1.3 billion due to manufacturing defects [4][5]. - Manual quality control often fails to detect defects in large production batches, prompting manufacturers to invest in AI solutions to identify issues earlier and minimize additional expenses [5]. Geographical Outlook - North America is experiencing significant growth in the AI quality inspection market, with major companies like Microsoft and IBM introducing innovative AI products [6][7]. - Startups in the USA are also contributing to advancements in AI quality inspection, with companies like Neurala Inc. partnering with leading manufacturers [8]. Competitive Landscape - The report profiles key companies in the AI quality inspection market, including Intel Corp, Mitutoyo America Corporation, and Robert Bosch GmbH, among others [11][15]. - The market is segmented by type (pre-trained and deep learning), end-users (semiconductor, pharmaceutical, automotive, textile), and geography [15].