AI In Hardware Market Opportunites and Forecast Report 2025


The Business Research Company’s 2026 market reports introduce new features such as market attractiveness scoring and analysis, total addressable market analysis, company scoring matrix, interactive excel data dashboard, improved supply chain analysis, upcoming startups in the market, and overview of key products, all designed to enhance the depth, usability, and strategic value of the insights provided.

What Is the Estimated Market Growth Potential of the AI In Hardware Market by 2030?
The AI in hardware market size has grown exponentially in recent years. It will grow from $31.21 billion in 2025 to $38.49 billion in 2026 at a compound annual growth rate (CAGR) of 23.3%. The growth in the historic period can be attributed to growth of semiconductor industry, demand for high speed computing, expansion of consumer electronics, rise of data intensive applications, adoption of GPUs.

The AI in hardware market size is expected to see exponential growth in the next few years. It will grow to $88.44 billion in 2030 at a compound annual growth rate (CAGR) of 23.1%. The growth in the forecast period can be attributed to edge computing growth, AI workload acceleration, demand for low latency processing, expansion of autonomous systems, investments in custom AI chips. Major trends in the forecast period include AI optimized processors, edge AI hardware deployment, high performance computing integration, energy efficient AI chips, embedded AI systems.

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What Are the Leading Growth Factors in the AI In Hardware Market?
The increasing penetration of the Internet is expected to drive growth in the AI hardware market. The penetration of the Internet, commonly referred to as Internet penetration or Internet adoption, measures the percentage of the population or a specific demographic that has access to the Internet. Internet penetration plays a pivotal role in advancing AI in hardware by enabling data access, supporting cloud computing, fostering collaboration, facilitating remote access to AI services, and contributing to the widespread deployment of AI applications across various industries. For instance, in April 2023, according to the Gov.UK, a UK-based government official government information website, through Project Gigabit, we are allocating £5 billion to expand gigabit broadband networks, aiming to deliver gigabit connectivity to at least 85% of premises by 2025 and more than 99% by 2030. Therefore, the increasing Internet penetration is expected to positively impact the growth of the AI in the hardware market during the forecast period.

How Is the AI In Hardware Market Arranged by Segment Classification?
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

Which Trends Are Most Likely to Influence AI In Hardware Market Growth in the Next Decade?
Major companies operating in the AI hardware market are focusing on technological advancements such as AI accelerators to boost computational efficiency and speed for complex AI tasks including deep learning and real-time inference. An AI accelerator is a specialized hardware component designed to optimize the performance of artificial intelligence tasks, such as machine learning, deep learning, and neural network processing. For instance, in October 2024, Advanced Micro Devices, Inc. (AMD), a US-based American multinational corporation and fabless semiconductor company, introduced the Instinct MI325X AI accelerator, built on the CDNA 3 architecture, featuring 256GB of HBM3E memory and 6.0 TB/s bandwidth, aimed at surpassing NVIDIA's H200 in memory capacity, bandwidth, and performance. This energy-efficient accelerator is designed to power large-scale AI models, solidifying AMD’s competitive stance against industry leaders Intel and NVIDIA in the AI hardware market.

Who Are the Top Competitors in the AI In Hardware Market?
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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Which regions are expected to dominate the AI In Hardware Market during the forecast period?
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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