AI In Hardware Market Report 2026

AI In Hardware Market Overview

• AI In Hardware market size has reached to $31.21 billion in 2025 • Expected to grow to $88.44 billion in 2030 at a compound annual growth rate (CAGR) of 23.1% • Growth Driver: Rising Internet Penetration Drives Growth In The AI Hardware Market • Market Trend: AI Accelerators For Enhanced Computational Efficiency • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under AI In Hardware Market?

AI in hardware refers to the use of artificial intelligence (AI) technologies in hardware devices or systems. This includes the use of machine learning algorithms, deep learning models, and other AI techniques to enhance the functionality, performance, and efficiency of hardware devices such as computers, smartphones, and Internet of Things (IoT) devices. The main types of AI in hardware are processor, memory network, and storage. A processor, also known as a central processing unit (CPU), refers to an electronic circuit that serves as the brain of a computer or other electronic device. It includes cloud and on-premise deployments, and it uses technologies such as machine learning, computer vision, natural language processing, and expert systems. These are used for several applications, including training and simulation, driver monitoring systems, surveillance and security, and others, and the main end-users are the telecommunications and IT industries, banking and finance sectors, education, e-commerce, navigation, robotics, agriculture, and health care.

What Is The AI In Hardware Market Growth Forecast?

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.

Global AI In Hardware Market Segmentation

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

What Is The Driver Of 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.

Key Players In The Global 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.

Global AI In Hardware Market Trends and Insights

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.

What Are Latest Mergers And Acquisitions In The AI In Hardware Market?

In June 2023, Databricks, Inc., a US-based enterprise software company, acquired MosaicMLL for a deal worth $1.3 billion. With this acquisition, Databricks aims to boost its generative AI offerings and integrate MosaicMLL’s models, training, and inference capabilities into its lakehouse platform for enterprises, to develop generative AI applications. MosaicML, a US-based company that provides complex systems and hardware so customers can develop, and train large, complex generative AI models.

Regional Insights

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 this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the AI In Hardware Market?

The AI in hardware market consists of revenues earned by entities by provide AI in hardware services such as AI-optimized hardware design, AI consulting, AI accelerators, and cloud-based AI services. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in hardware market also includes sales of AI chips and processors, robotics hardware, graphics processing units (GPUs), AI central processing units (CPUs), tensor processing units (TPUs), and AI processors that are used in providing AI in hardware services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the AI In Hardware Market Report 2026?

The ai in hardware market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in hardware industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.