AI Accelerator Global Market Report 2025

AI accelerators are specialized hardware or software designed to enhance and optimize artificial intelligence computations, providing significant benefits for developers, businesses, cloud service providers, and other stakeholders in the AI ecosystem.

The primary types of AI accelerators include graphics processing units (GPUs), tensor processing units (TPUs), application-specific integrated circuits (ASICs), central processing units (CPUs), and field-programmable gate arrays (FPGAs). GPUs are specialized electronic circuits that accelerate image processing and parallel computations. AI accelerators are categorized into cloud-based and edge AI technologies. They serve various end users, including the information technology and telecom sector, healthcare, automotive, finance, retail, and other industries.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The AI accelerator market research report is one of a series of new reports from The Business Research Company that provides AI accelerator market statistics, including AI accelerator industry global market size, regional shares, competitors with an AI accelerator market share, detailed AI accelerator market segments, market trends and opportunities, and any further data you may need to thrive in the AI accelerator industry. This AI accelerator 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 accelerator market size has grown exponentially in recent years. It will grow from $16.55 billion in 2024 to $20.91 billion in 2025 at a compound annual growth rate (CAGR) of 26.4%. The growth in the historic period can be attributed to increasing demand for deep learning models, rise in government investments, rise in adoption of AI in image and speech recognition technologies, rise in AI adoption for precision agriculture, and growth in consumer electronics.

The ai accelerator market size is expected to see exponential growth in the next few years. It will grow to $52.76 billion in 2029 at a compound annual growth rate (CAGR) of 26.0%. The growth in the forecast period can be attributed to rising deployment of AI servers, increasing need for real-time data processing, increasing deployment of IoT devices, increasing investments in AI research, and increasing consumer data generation. Major trends in the forecast period include technological advancements, machine learning, cloud-based AI solutions, AI chips, and cybersecurity.

The forecast of 26.0% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by delaying AI model training, as specialized ASICs and FPGAs are predominantly manufactured in Taiwan and South Korea. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing deployment of IoT devices is expected to drive the expansion of the AI accelerator market in the coming years. IoT devices are physical objects equipped with sensors, software, and connectivity features that enable data collection, exchange, and processing over the internet. Factors such as the increasing demand for automation, enhanced connectivity, and the rising adoption of smart devices among consumers are fueling the widespread use of IoT devices. AI accelerators enhance IoT functionality by enabling local data processing, reducing cloud transmission dependency, and improving decision-making speed, latency, and bandwidth efficiency. This leads to better performance in real-time applications such as smart homes, industrial automation, and healthcare. For example, in April 2024, a report published by Ericsson, a Sweden-based telecommunications company, stated that global IoT connections had reached 15.7 billion in 2023 and are projected to rise by 16% to 38.8 billion by 2029. As a result, the increasing adoption of IoT devices is significantly contributing to the growth of the AI accelerator market.

Leading companies in the AI accelerator market are focusing on innovations such as 5 nm node process technology to enhance performance, improve energy efficiency, and meet the growing demands of AI workloads. This semiconductor manufacturing process features transistors that are only 5 nanometers in size, enabling better performance, lower power consumption, and more compact chip designs. For example, in August 2024, IBM, a US-based technology company, introduced the Spyre accelerator chip, an advanced AI processing unit designed for IBM Z systems. With 32 cores and 25.6 billion transistors, this chip utilizes 5 nm node process technology to deliver both high performance and energy efficiency. It is mounted on PCIe cards that can be clustered to increase processing power, supporting large-scale AI inferencing and complex applications such as fraud detection and generative AI for business process automation and code modernization. Its architecture is specifically designed to manage AI workloads, allowing businesses to securely and efficiently deploy AI models on-premises.

In April 2024, IBM, a US-based technology company, formed a strategic partnership with Intel Corporation for an undisclosed amount. This collaboration aims to develop scalable, cost-effective, and secure AI solutions that enhance performance and support enterprise AI workloads across hybrid cloud environments. Intel Corporation, a US-based technology company, specializes in AI accelerators.

Major players in the ai accelerator market are Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., Taiwan Semiconductor Manufacturing Company, Intel Corporation, Cisco Systems Inc., Qualcomm Technologies Inc., Broadcom Inc., NVIDIA Corporation, Advanced Micro Devices Inc. (AMD), Baidu Inc., NXP Semiconductors N.V., Microchip Technology Incorporated, Synopsys Inc., Marvell Technology Inc., Arista Networks Inc., Xilinx Inc., Hailo Ltd., Rebellions.ai, Furiosa AI Inc., Graphcore Limited, BrainChip Holdings Ltd., LeapMind Inc.

North America was the largest region in the AI accelerator market in 2024. The regions covered in AI accelerator report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The AI accelerator market consists of revenues earned by entities providing services such as AI model development and training, data preparation, and processing. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI Accelerator market also includes sales of AI chips, hardware accelerators, and AI software development kits. 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 Accelerator Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai accelerator 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 15 geographies.
• Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, 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 the latest market shares.
• Benchmark performance against key competitors.
• 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 accelerator ? 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 accelerator 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, competitive landscape, market shares, 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.
• 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 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.

• 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.
• 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Type: Graphics Processing Units (GPUs); Tensor Processing Units (TPUs); Application-Specific Integrated Circuits (ASICs); Central Processing Units (CPUs); Field-Programmable Gate Arrays (FPGAs)
• 2) By Technology: Cloud-Based AI Accelerators; Edge AI Accelerators
• 3) By End User: Information Technology And Telecom; Healthcare; Automotive; Finance; Retails; Other End Users
• Subsegments:
• 1) By Graphics Processing Units (GPUs): AI Training GPUs; AI Inference GPUs; Cloud-Based AI GPUs; Edge AI GPUs; High-Performance Computing (HPC) GPUs
• 2) By Tensor Processing Units (TPUs): Cloud TPUs; Edge TPUs; AI Model Training TPUs; AI Model Inference TPUs; Energy-Efficient TPUs
• 3) By Application-Specific Integrated Circuits (ASICs): Deep Learning ASICs; Speech And Language Processing ASICs; Computer Vision ASICs; Edge AI ASICs; Low-Power AI ASICs
• 4) By Central Processing Units (CPUs): AI-Optimized Multi-Core CPUs; Cloud AI CPUs; Edge AI CPUs; Real-Time AI Processing CPUs; High-Performance AI Workstation CPUs
• 5) By Field-Programmable Gate Arrays (FPGAs): AI Model Customization FPGAs; Low-Latency AI Processing FPGAs; Edge AI FPGAs; Reconfigurable AI Hardware FPGAs; High-Throughput AI Computing FPGAs
• Companies Mentioned: Samsung Electronics Co. Ltd.; Huawei Technologies Co. Ltd.; Taiwan Semiconductor Manufacturing Company; Intel Corporation; Cisco Systems Inc.; Qualcomm Technologies Inc.; Broadcom Inc.; NVIDIA Corporation; Advanced Micro Devices Inc. (AMD); Baidu Inc.; NXP Semiconductors N.V.; Microchip Technology Incorporated; Synopsys Inc.; Marvell Technology Inc.; Arista Networks Inc.; Xilinx Inc.; Hailo Ltd.; Rebellions.ai; Furiosa AI Inc.; Graphcore Limited; BrainChip Holdings Ltd.; LeapMind Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.