Dublin, Nov. 06, 2025 (GLOBE NEWSWIRE) — The “Artificial Intelligence (AI) Hardware Market – Types, Applications and Industry Sectors” has been added to ResearchAndMarkets.com’s offering.
This comprehensive report examines the AI Hardware market over the 2021-2030 period, offering insights into hardware types, applications, and industry sectors. It provides a clear perspective on corporate and industrial progressions to illustrate market dynamics and future trajectories.
The rapid integration of Artificial Intelligence (AI) into hardware markets has introduced several transformative trends. As AI capabilities are increasingly embedded into edge devices such as smartphones, IoT sensors, and vehicles, there’s a surging demand for low-power, high-performance chips, like edge-optimized GPUs and ASICs.
Global firms like Google and Microsoft are innovating with customized chips aimed at boosting efficiency and performance for specific AI workloads, reducing reliance on general-purpose GPUs. Neuromorphic chips, modeled on the human brain, are emerging as a promising solution for enhancing efficiency in cognitive tasks, especially in robotics and autonomous systems.
There is a strong emphasis on developing energy-efficient hardware through innovations in chip architecture and cooling systems. These advancements aim to minimize the carbon footprint of AI operations. However, escalating tariffs imposed by the United States on countries like China, Taiwan, and Vietnam-key producers and exporters in this realm-could steeply increase the costs of AI servers, laptops, and GPUs, potentially dampening demand.
The AI Hardware market is projected to grow from US$25 billion in 2024 to US$76.7 billion by 2030, achieving a CAGR of 20.5% over the period. The burgeoning use of AI across diverse sectors such as healthcare, automotive, and retail is driving this demand. Enhanced chip designs, featuring smaller, more energy-efficient transistors and specialized AI accelerators, facilitate faster proceedings, further propelling market growth.
As data generation from IoT devices, cloud services, and digital platforms skyrockets, there is an increased need for AI-optimized solutions capable of managing substantial processing and analytics. Industry giants such as Google, Microsoft, NVIDIA, Intel, and Qualcomm are significantly investing in R&D to pioneer cutting-edge AI hardware, spurring innovation and sector expansion. The trend towards edge computing, which processes data closer to its source in smart devices or autonomous systems, is escalating demand for compact, efficient AI hardware tailored for edge environments.
