Group 1 - The rapid development of artificial intelligence (AI) is driving significant growth in the demand for related testing equipment, with the global AI computing test equipment market expected to reach $2.3 billion by 2024 [1][2] - The complexity of High Bandwidth Memory (HBM) products is increasing, leading to new testing demands for HBM [1][3] - The development of supernode technology is resulting in a growing need for testing equipment for server motherboards [1][4] Group 2 - The global integrated circuit testing equipment market is projected to reach $7.54 billion in 2024 and $9.77 billion by 2026, reflecting a year-on-year growth of 29.58% [2] - The strong demand for HBM from AI chip customers, particularly from companies like SK Hynix, is driving the need for more rigorous testing processes [3] - The complexity of server systems, such as those based on NVIDIA's NVLink, necessitates a series of tests to ensure proper functionality, highlighting the increasing importance of testing equipment suppliers [4]

Core Viewpoint - The rapid development of artificial intelligence (AI) is expected to drive significant growth in the demand for related testing equipment, with the global AI computing test equipment market projected to reach $2.3 billion by 2024 [1][2]. Group 1: AI Computing Test Equipment Market - The global AI computing test equipment market is anticipated to grow rapidly, reaching $2.3 billion by 2024 [2]. - The integrated circuit production process requires various tests, including WAT, CP, and FT tests, with the global integrated circuit testing equipment market projected to be $7.54 billion in 2024 and $9.77 billion by 2026, reflecting a year-on-year growth of 29.58% [2]. - Teradyne, a leading global testing machine company, estimates that the market for AI computing testing equipment will continue to grow [2]. Group 2: HBM Product Testing Demand - The demand for testing HBM products is increasing due to strong demand from AI chip customers, with SK Hynix leading the HBM market [3]. - HBM products are evolving from 8-layer DRAM chips to 12-layer configurations, necessitating additional testing steps to ensure quality and yield [3]. Group 3: Server Testing Equipment Demand - The rapid growth of AI model parameters is driving the need for substantial computing power and memory resources, leading to the emergence of supernode technology [4]. - Complex server systems, such as NVIDIA's NVL72 solution, require extensive testing, including ICT, FCT, aging, SIT, performance, and compatibility tests, highlighting the growing importance of testing equipment suppliers [4].

Investment Rating - The report assigns an "Overweight" rating for the semiconductor equipment industry [4]. Core Insights - The rapid development of artificial intelligence (AI) is expected to drive significant growth in the demand for related testing equipment, particularly in AI computing, HBM (High Bandwidth Memory), and server motherboard testing equipment [2][4]. - The global market for AI computing testing equipment is projected to reach $2.3 billion by 2024, with the overall integrated circuit testing equipment market expected to grow from $7.54 billion in 2024 to $9.77 billion by 2026, reflecting a year-on-year increase of 29.58% [4]. - The increasing complexity of HBM products is leading to new testing requirements, while the development of ultra-node technology is driving the demand for server motherboard testing equipment [2][4]. Summary by Sections AI Computing Testing Equipment - The market for AI computing testing equipment is anticipated to grow rapidly, reaching $2.3 billion by 2024 [4]. - Teradyne, a leading global testing machine company, estimates that the market for AI computing testing equipment will continue to grow [4]. HBM Product Testing - The demand for HBM testing is increasing due to the strong demand from AI chip customers, with SK Hynix leading in the HBM market [4]. - The development of HBM4 products has introduced new testing steps to improve quality and yield [4]. Server Testing Equipment - The rapid growth of AI model parameters is creating a need for substantial computing power and memory resources, leading to the emergence of ultra-node technology [4]. - Testing for servers is becoming increasingly important, with various tests required to ensure proper functionality, highlighting the growing demand for related testing equipment suppliers [4].