Artificial Intelligence Accelerators - Global Strategic Business Report

The global market for Artificial Intelligence Accelerators was valued at US$27.7 Billion in 2024 and is projected to reach US$119.4 Billion by 2030, growing at a CAGR of 27.6% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.

Global Artificial Intelligence Accelerators Market - Key Trends & Drivers Summarized

How Are AI Accelerators Reshaping the Computing Landscape?

Artificial Intelligence (AI) accelerators are redefining the way computational tasks are performed, enabling faster, more efficient processing of complex algorithms. These specialized hardware components, such as GPUs, TPUs, and FPGAs, are designed to handle intensive AI workloads, including deep learning, natural language processing, and real-time data analysis. Their adoption has been particularly significant in industries like healthcare, automotive, and finance, where AI-driven solutions require high-speed data processing capabilities. AI accelerators enhance model training and inference speeds, reducing the time-to-market for AI innovations.

The evolution of edge computing is another area where AI accelerators are making a profound impact. By embedding accelerators in edge devices, such as smart sensors and IoT applications, organizations can process data locally, reducing latency and enhancing real-time decision-making. This has opened up new possibilities for applications like autonomous vehicles, robotics, and smart city infrastructure. The increasing focus on reducing energy consumption in data centers is also driving the adoption of AI accelerators, as they are engineered to deliver higher performance with lower power requirements, aligning with sustainability goals.

What Fuels the Adoption of AI Accelerators Across Industries?

The growing complexity of AI models and the demand for faster computing have led to a surge in the adoption of AI accelerators across diverse sectors. In the healthcare industry, for instance, AI accelerators are enabling rapid processing of medical imaging data, facilitating early diagnosis and precision medicine. Similarly, the automotive sector leverages these technologies to power autonomous driving systems, which require real-time analysis of vast amounts of sensor data. Financial institutions are also embracing AI accelerators to enhance fraud detection, risk management, and customer experience through faster analytics.

The expansion of cloud computing services has further accelerated the demand for AI accelerators. Cloud providers are integrating specialized hardware into their infrastructures to support AI and machine learning workloads, offering users unprecedented computational power. Additionally, AI accelerators are pivotal in the development of generative AI models, which rely on vast datasets and intensive computation. These use cases underscore the growing reliance on AI accelerators as essential tools for advancing innovation and efficiency in key industries.

Are AI Accelerators the Key to Democratizing Artificial Intelligence?

As the demand for AI solutions grows, AI accelerators are playing a vital role in making these technologies accessible to a broader range of users. By enhancing computational efficiency, these accelerators lower the barriers to entry for small and medium-sized enterprises, enabling them to implement AI-driven solutions without the need for costly infrastructure investments. Furthermore, advancements in semiconductor technologies are making accelerators more compact and affordable, fostering widespread adoption across sectors.

AI accelerators are also pivotal in driving the adoption of AI in underserved regions and industries. By enabling edge computing, these technologies reduce dependency on high-cost data centers, allowing remote and resource-constrained areas to leverage AI for applications like agricultural monitoring, telemedicine, and renewable energy management. The focus on energy-efficient designs ensures that AI accelerators can support sustainability initiatives, making them integral to the global push for greener AI infrastructure. This democratization of AI has significant implications for economic growth and innovation, especially in emerging markets.

What Drives the Explosive Growth of the AI Accelerators Market?

The growth in the Artificial Intelligence Accelerators market is driven by several factors, reflecting the increasing importance of these technologies across industries. The rapid advancement of AI applications, such as generative AI, computer vision, and advanced robotics, has heightened the demand for specialized hardware capable of processing complex computations at scale. The proliferation of IoT devices and the push toward real-time decision-making in sectors like automotive, manufacturing, and retail are further accelerating market growth. Additionally, the shift toward edge AI solutions has created new opportunities for deploying accelerators in devices that require local processing capabilities.

Consumer behavior trends, including the demand for faster, more personalized AI solutions, are encouraging companies to invest in AI accelerator technologies. The exponential growth of data generated by AI applications has made traditional processing systems inadequate, necessitating the adoption of high-performance accelerators. Furthermore, regulatory and competitive pressures to improve efficiency, enhance security, and reduce energy consumption are driving the integration of AI accelerators into core operational workflows. These factors, combined with continuous innovation in hardware design and manufacturing, are fueling the explosive growth of the AI accelerators market, positioning it as a cornerstone of the AI ecosystem.

Scope of the Study

The report analyzes the Artificial Intelligence Accelerators market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.

Segments:

Type (Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Application-Specific Integrated Circuits (ASICs), Central Processing Units (CPUs), Field-Programmable Gate Arrays (FPGAs)); End-Use (IT & Telecom End-Use, Automotive End-Use, Finance End-Use, Healthcare End-Use, Retail End-Use, Other End-Uses).

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the Graphics Processing Units (GPUs) segment, which is expected to reach US$68.2 Billion by 2030 with a CAGR of a 26.7%. The Tensor Processing Units (TPUs) segment is also set to grow at 32.7% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, valued at $7.3 Billion in 2024, and China, forecasted to grow at an impressive 26.2% CAGR to reach $18.1 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of major players such as Amadeus IT Group SA, Amazon Web Services, Inc., Automation Anywhere, Inc., C3.ai, Inc., EK9 Labs, Inc (Argolabs) and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Why You Should Buy This Report:

• Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence Accelerators Market, covering all major geographic regions and market segments.
• Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
• Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence Accelerators Market.
• Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.

Key Questions Answered:

• How is the Global Artificial Intelligence Accelerators Market expected to evolve by 2030?
• What are the main drivers and restraints affecting the market?
• Which market segments will grow the most over the forecast period?
• How will market shares for different regions and segments change by 2030?
• Who are the leading players in the market, and what are their prospects?

Some of the 25 companies featured in this Artificial Intelligence Accelerators market report include:

• Amadeus IT Group SA
• Amazon Web Services, Inc.
• Automation Anywhere, Inc.
• C3.ai, Inc.
• EK9 Labs, Inc (Argolabs)
• Google LLC
• IBM Corporation
• Microsoft Corporation
• NVIDIA Corporation
• OpenAI