AI In Hardware Global Market Report 2026

AI in hardware denotes the integration of artificial intelligence (AI) technologies within hardware devices or systems, leveraging machine learning algorithms, deep learning models, and diverse AI techniques. This integration aims to elevate the functionality, efficiency, and overall performance of hardware devices, encompassing computers, smartphones, and Internet of Things (IoT) devices.

The primary categories of AI in hardware comprise processors, memory networks, and storage systems. A processor, often referred to as a central processing unit (CPU), functions as the electronic core responsible for executing tasks within computers and electronic devices. These AI-equipped hardware solutions span both cloud-based and on-premise deployments, harnessing technologies such as machine learning, computer vision, natural language processing, and expert systems. They find application across various sectors, including but not limited to telecommunications, IT industries, banking and finance, education, e-commerce, navigation, robotics, agriculture, healthcare, and more. These applications serve diverse purposes such as training and simulation, driver monitoring systems, surveillance and security, among others.

Tariffs have affected the AI in hardware market by increasing costs of imported semiconductors, memory components, and advanced manufacturing equipment. These impacts are significant across processors, memory networks, and storage segments, particularly in asia pacific and north america where supply chains are globally interconnected. Rising costs have influenced pricing of AI enabled devices and delayed some infrastructure upgrades. However, tariffs have encouraged regional chip manufacturing, local assembly, and innovation in energy efficient hardware, strengthening domestic AI hardware ecosystems.

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

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.

The increasing penetration of the Internet is expected to drive growth in the AI hardware market. Internet penetration, also referred to as Internet adoption, measures the proportion of the population or a specific demographic with access to the Internet. It plays a crucial role in advancing AI in hardware by enabling data access, supporting cloud computing, fostering collaboration, facilitating remote access to AI services, and promoting widespread deployment of AI applications across industries. For instance, in April 2023, Gov.UK, a UK-based government information website, reported that through Project Gigabit, £5 billion is being allocated to expand gigabit broadband networks, aiming to provide gigabit connectivity to at least 85% of premises by 2025 and over 99% by 2030. Therefore, rising Internet penetration is expected to positively influence the growth of AI in the hardware market during the forecast period.

Leading companies in the AI hardware market are concentrating on technological advancements, such as AI accelerators, to enhance computational efficiency and speed for complex AI tasks, including deep learning and real-time inference. An AI accelerator is a specialized hardware component aimed at optimizing the performance of artificial intelligence tasks like machine learning, deep learning, and neural network processing. For example, in October 2024, Advanced Micro Devices, Inc. (AMD), a US-based multinational corporation and fabless semiconductor company, launched the Instinct MI325X AI accelerator, built on the CDNA 3 architecture. This accelerator features 256GB of HBM3E memory and a bandwidth of 6.0 TB/s, designed to outpace NVIDIA's H200 in terms of memory capacity, bandwidth, and performance. This energy-efficient accelerator is tailored to support large-scale AI models, reinforcing AMD's competitive position against industry leaders Intel and NVIDIA in the AI hardware market.

In June 2023, Databricks, Inc., a US enterprise software company, completed the acquisition of MosaicMLL for $1.3 billion. This acquisition is aimed at enhancing Databricks' generative AI capabilities by integrating MosaicMLL's models, training, and inference capabilities into its enterprise-focused lakehouse platform. MosaicMLL, a US company, specializes in providing complex systems and hardware to facilitate the development and training of large, intricate generative AI models for customers.

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.

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.

The countries covered in the AI in hardware market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

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.

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.

AI In Hardware Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses AI in hardware market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
• Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on end user analysis.
• Benchmark performance against key competitors based on market share, innovation, and brand strength.
• Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
• Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for AI in hardware ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The AI in hardware market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered: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
• Companies Mentioned: 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.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: Word, PDF or Interactive Report
• + Excel Dashboard
• Added Benefits
• Bi-Annual Data Update
• Customisation
• Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.