Global Application Specific Integrated Circuit (ASIC) Market - Size, Share, Trends, and Forecast, 2021-2031F | AI and EV Adoption Drive 7.11% CAGR to $27.97 Billion by 2031
Dublin, Oct. 14, 2026 (GLOBE NEWSWIRE) -- "Application Specific Integrated Circuit Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031F" has been added to ResearchAndMarkets.com's offering.
The Global Application Specific Integrated Circuit Market is projected to grow from USD 18.52 Billion in 2025 to USD 27.97 Billion by 2031, registering a CAGR of 7.11%. Market expansion is being driven by rising demand for high-performance computing in artificial intelligence (AI), Machine Learning, automotive electronics, Electric Vehicles, autonomous driving systems and energy-efficient data center infrastructure.
Application Specific Integrated Circuits support optimized power consumption, reduced computational latency and specialized form factors for demanding applications. World Semiconductor Trade Statistics projected 10.7 percent growth for the Logic integrated circuit category in 2024, highlighting the importance of advanced semiconductor components across modern technology infrastructure. However, increasing design complexity, engineering costs and capital requirements remain significant barriers to wider market participation.
Market Drivers: The rapid adoption of AI and Machine Learning solutions is a major catalyst for Application Specific Integrated Circuit Market growth. Data center operators are investing in custom silicon to improve computational efficiency and manage specialized workloads more economically than standard processing architectures. Domain-specific circuits can enhance performance while reducing energy consumption, making them increasingly valuable for large-scale AI training and inference.
Financial results from leading semiconductor suppliers reflect this momentum. According to Broadcom Inc.'s "Second Quarter Fiscal Year 2024 Financial Results," published in June 2024, the company raised its forecast for AI-related revenue to more than USD 11 billion for the fiscal year. This outlook demonstrates the commercial expansion of custom processors and compute offload solutions.
Automotive semiconductor demand is also accelerating as Application Specific Integrated Circuits become more deeply integrated into Electric Vehicles and autonomous driving platforms. These components support battery regulation, LiDAR sensor fusion and other safety-critical functions requiring strong thermal performance and high reliability. The International Energy Agency's "Global EV Outlook 2024," released in April 2024, projected electric car sales of 17 million units in 2024. Meanwhile, the Semiconductor Industry Association reported global semiconductor sales of USD 53.1 billion in August 2024, indicating sustained investment in electronic hardware.
Market Challenges: Rising design complexity and high engineering costs represent major obstacles for the Global Application Specific Integrated Circuit Market. Advanced automotive and AI applications require expensive electronic design automation tools, specialized engineering expertise and substantial upfront investment. These requirements can limit participation by small and medium-sized enterprises and concentrate development capabilities among well-funded semiconductor companies.
The scale of required investment is reflected in industry research and development spending. According to the Semiconductor Industry Association, the U.S. semiconductor industry invested 17.7 percent of its total revenue in research and development during 2024. This level of expenditure illustrates the resources needed to maintain advanced design capabilities and meet increasingly demanding performance, reliability and manufacturing standards.
Market Trends: Hyperscale data center operators are increasingly developing proprietary custom AI silicon rather than depending exclusively on merchant semiconductor products. Vertical integration enables companies to tailor circuits to workloads such as recommendation engines while improving performance-per-watt. Meta's "Introducing Our Next Generation Infrastructure for AI" report, published in April 2024, stated that its next-generation Meta Training and Inference Accelerator more than doubled compute and memory bandwidth compared with the previous-generation solution.
The industry is also moving toward chiplet-based architectures supported by 2.5D and 3D advanced packaging. As monolithic manufacturing approaches physical limitations, semiconductor developers are integrating heterogeneous dies to scale performance and maintain production yields. This transition requires greater backend manufacturing capacity and higher interconnect density. A February 2024 Taiwan News report indicated that TSMC's monthly advanced packaging capacity was expected to reach between 33,000 and 35,000 wafers by the fourth quarter of 2024, emphasizing the growing importance of multi-die integration for next-generation ASICs.
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Report Scope: The Global Application Specific Integrated Circuit Market report evaluates market size, growth drivers, challenges and emerging industry trends across product types, applications and geographic regions.
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