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AI In Hardware Market Growth Potential: How Will Market Size Shift Through 2030?
The AI in hardware market size has witnessed significant expansion in recent years. It is projected to increase from $31.21 billion in 2025 to $38.49 billion in 2026, at a compound annual growth rate (CAGR) of 23.3%. The growth observed in the past can be attributed to the development of the semiconductor industry, the rising demand for high-speed computing, the broadening of consumer electronics, the surge in data-intensive applications, and the integration of GPUs.
The AI in hardware market is anticipated to experience substantial growth in the coming years, projected to reach $88.44 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 23.1%. This expansion during the forecast period is fueled by elements such as the proliferation of edge computing, the acceleration of AI workloads, the increasing need for low latency processing, the development of autonomous systems, and investments in bespoke AI chips. Prominent developments expected in this timeframe include AI optimized processors, the implementation of edge AI hardware, the integration of high performance computing, the creation of energy efficient AI chips, and the widespread use of embedded AI systems.
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AI In Hardware Market Demand Drivers: What’s Powering Industry Growth?
The expanding reach of the Internet is anticipated to stimulate the growth within the AI hardware market. Internet penetration, also known as Internet adoption, quantifies the proportion of the population or a specific demographic with Internet access. This widespread connectivity is crucial for advancing AI in hardware because it facilitates data accessibility, supports cloud-based computing, encourages collaboration, enables remote access to AI services, and aids in the broad deployment of AI applications across diverse sectors. For example, in April 2023, Gov.UK, a UK government information website, reported that Project Gigabit is dedicating £5 billion towards extending gigabit broadband networks, targeting gigabit connectivity for at least 85% of premises by 2025 and over 99% by 2030. Consequently, the increasing Internet penetration is projected to have a favorable impact on the expansion of AI in the hardware market throughout the forecast period.
AI In Hardware Market Segment Trends And Revenue Contributors
The AI in hardware market covered in this report is segmented –
1) By Type: Processor, Memory Network, Storage
2) By Deployment: Cloud, On-Premise
3) By Technology: Machine Learning, Computer Vision, Natural Language Processing, Expert Systems
4) By Application: Training and Simulation, Driver Monitoring Systems, Surveillance and Security, Other Applications
5) By End User: Telecommunication And Information Technology Industry, Banking And Finance Sectors, E-commerce, Robotics, Healthcare, Other End Users
Subsegments:
1) By Processor: Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs)
2) By Memory Network: High Bandwidth Memory (HBM), Dynamic Random-Access Memory (DRAM), Non-Volatile Memory (NVM)
3) By Storage: Solid State Drives (SSDs), Hard Disk Drives (HDDs), Cloud Storage Solutions
AI In Hardware Market Innovation Trends: What Developments Are Reshaping The Industry?
Leading companies in the AI hardware market are concentrating on technological advancements like AI accelerators to improve computational efficiency and speed for intricate AI tasks, including deep learning and real-time inference. An AI accelerator is a specialized hardware component crafted to optimize the execution of artificial intelligence tasks, such as machine learning, deep learning, and neural network processing. For example, in October 2024, Advanced Micro Devices, Inc. (AMD), a US-based American multinational corporation and fabless semiconductor company, launched the Instinct MI325X AI accelerator, developed on the CDNA 3 architecture, which boasts 256GB of HBM3E memory and 6.0 TB/s bandwidth, intending to outperform NVIDIA’s H200 in memory capacity, bandwidth, and performance. This energy-efficient accelerator is built to power large-scale AI models, thereby reinforcing AMD’s competitive standing against industry frontrunners Intel and NVIDIA in the AI hardware market.
AI In Hardware Market Competitive Landscape: Which Companies Lead The Industry?
Major companies operating in the AI in hardware market are Qualcomm Technologies; Alphabet Inc.; Micron Technology; NVIDIA Corporation; Huawei Technologies Co. Ltd.; Intel; Apple Inc.; IBM; Advanced Micro Devices Inc.; Samsung Electronics Co. Ltd.; Xilinx; Cambricon Technologies; Graphcore; Kalray; Mipsology; BrainChip Holdings; LightOn; GPU-Tech; Elvees NeoTek; Dell Technology Inc.; Amazon Web Services Inc.; Tellumat; Cerebras Systems Inc.; Tenstorrent Inc.; Mythic AI; Groq Inc.; Blaize Inc.; Sambanova Systems Inc.; Untether AI Inc.; Kneron Inc.
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AI In Hardware Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the AI in hardware market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in hardware market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
