Hardware Artificial Intelligence Market Report 2026

Hardware Artificial Intelligence Market Overview

• Hardware Artificial Intelligence market size has reached to $10.2 billion in 2025 • Expected to grow to $27.1 billion in 2030 at a compound annual growth rate (CAGR) of 21.6% • Growth Driver: Internet Consumer Growth Fueling Hardware Artificial Intelligence Market Expansion • Market Trend: Hardware Artificial Intelligence Market Drive Innovation With New AI Chip Developments • North America was the largest region in 2025.

What Is Covered Under Hardware Artificial Intelligence Market?

Hardware artificial intelligence refers to specialized hardware components, architectures, and systems designed to accelerate and optimize the execution of artificial intelligence (AI) tasks. These hardware solutions are customized to enhance the speed, energy efficiency, and scalability of AI algorithms and applications, surpassing the capabilities of conventional computing hardware. The main types of hardware artificial intelligence are processors, networks, and storage. Processor is the central processing unit (CPU) of a computer, responsible for executing instructions, performing calculations, and managing data flow within the system which are also utilized in AI hardware to execute complex computations involved in training and inference tasks, for improved performance. The various product types include the central processing unit (CPU), graphics processing unit (GPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), memory, and modules, which are categorized by technology such as machine learning and computer vision, others by end-use industry such as banking, financial services, and insurance (BFSI), information technology (IT) and telecommunication, healthcare, media and entertainment, aerospace and defense, manufacturing, automotive, agriculture, retail, and others.

What Is The Hardware Artificial Intelligence Market Growth Forecast?

The hardware artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $27.1 billion in 2030 at a compound annual growth rate (CAGR) of 21.6%. The growth in the forecast period can be attributed to rising deployment of edge devices, increasing need for low latency AI processing, growth of autonomous systems, rising demand for scalable AI infrastructure, advancements in neural network processor design. Major trends in the forecast period include rising need for high performance AI accelerators, growing adoption of edge AI hardware solutions, increasing demand for energy efficient AI chips, expansion of AI data centers and high speed compute infrastructure, growing use of specialized hardware for deep learning training and inference.

Global Hardware Artificial Intelligence Market Segmentation

1) By Hardware Function: Processor, Network, Storage 2) By Product: Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Memory, Modules 3) By Technology: Machine Learning, Computer Vision, Other Technologies 4) By End Use Industry: Banking, Financial Services And Insurance (BFSI), Information Technology (IT) And Telecommunication, Healthcare, Media And Entertainment, Aerospace And Defense, Manufacturing, Automotive, Agriculture, Retail, Other End Users Subsegments: 1) By Processor: Graphics Processing Unit (GPU), Central Processing Unit (CPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), Neural Network Processor (NPU) 2) By Network: AI-Optimized Network Infrastructure, Switches Or Routers, Data Center Networks, Network Interface Cards (NICs) 3) By Storage: Solid-State Drives (SSD), Hard Disk Drives (HDD), Cloud Storage Solutions, Data Storage Systems For AI Workloads, High-Performance Storage Systems

What Is The Driver Of The Hardware Artificial Intelligence Market?

An increasing number of internet consumers across the globe is expected to propel the growth of the hardware artificial intelligence market going forward. Internet consumers use the internet to access information, communicate with others, and engage in various online activities. The growing interconnectedness of the global economy and society has fueled greater reliance on the internet for cross-border communication, collaboration, and commerce, resulting in a rising number of internet users worldwide, especially in emerging markets. The utilization of hardware AI enhances user experiences, enabling faster data processing and facilitating the expansion of internet access through advancements in devices such as smartphones, smart speakers, and IoT devices. For instance, in 2023, according to the International Telecommunication Union (ITU), a Switzerland-based specialized agency, global internet usage rose from 66% (~5.3 billion people) in 2022 to approximately 67% (~5.4 billion people) in 2023. Therefore, an increasing number of internet consumers across the globe is driving the growth of the hardware artificial intelligence industry.

Key Players In The Global Hardware Artificial Intelligence Market

Major companies operating in the hardware artificial intelligence market are Google Plc, Samsung Electronics Co. Ltd., Microsoft Corporation, Dell Technologies Inc., Bosch GmbH, Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation, Xilinx Inc., Oracle Corporation, Honeywell International Inc., Micron Technology, NVIDIA Corporation, Hewlett Packard Enterprise, Toyota Industries Corporation, Safran S.A., Thales Group, Leidos Holdings Inc., Rockwell Automation Inc., The Smiths Group plc, Arm Limited, Axis Communication AB, Inspur Information Technology Co. Ltd., OSI Systems Inc., Graphcore Limited

Global Hardware Artificial Intelligence Market Trends and Insights

Major companies operating in the hardware artificial intelligence market are developing technologically advanced products, such as new AI chips, to capitalize on the growing demand for specialized hardware optimized for AI workloads. These are specialized computing hardware used in developing and deploying artificial intelligence systems designed to handle the uniquely complex computational requirements of AI algorithms quickly and efficiently. For instance, in December 2023, Advanced Micro Devices, Inc., a US-based IT corporation, launched two new AI chips, the Instinct MI300X accelerator and the Instinct M1300A accelerated processing unit (APU), which are designed to train and run large language models (LLMs) and are more energy-efficient than their predecessors. The MI300X has 1.5 times more memory capacity than the previous M1250X version and is comparable to Nvidia’s H100 chips in training LLMs but performs better on the inference side. Both chips aim to power advancements in generative AI and are designed to handle the complex computational requirements of AI algorithms quickly and efficiently.

What Are Latest Mergers And Acquisitions In The Hardware Artificial Intelligence Market?

In July 2023, Nvidia Corporation, a US-based software company, acquired OmniML Inc. for an undisclosed amount. Through this acquisition, Nvidia's strategic intent is to enhance its AI chips for autonomous vehicles, drones, and industrial robots and further its efforts to build smaller, more power-efficient AI models. OmniML Inc. is a US-based enterprise company that provides hardware artificial intelligence solutions.

Regional Outlook

North America was the largest region in the hardware artificial intelligence market in 2025. 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 Hardware Artificial Intelligence Market?

The hardware artificial intelligence market consists of revenues earned by entities through services such as data processing and analysis, energy management, edge AI processing, and personalized recommendations. The market value includes the value of related goods sold by the service provider or included within the service offering. The hardware artificial intelligence market also includes sales of products such as vision processing units (VPUs), language models, AI inference, autonomous systems, and neural networks. 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 Hardware Artificial Intelligence Market Report 2026?

The hardware artificial intelligence 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 hardware artificial intelligence 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.