PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1644159
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1644159
Artificial Intelligence Accelerators
Global Artificial Intelligence Accelerators Market to Reach US$119.4 Billion by 2030
The global market for Artificial Intelligence Accelerators estimated at US$27.7 Billion in the year 2024, is expected to reach US$119.4 Billion by 2030, growing at a CAGR of 27.6% over the analysis period 2024-2030. Graphics Processing Units (GPUs), one of the segments analyzed in the report, is expected to record a 26.7% CAGR and reach US$68.2 Billion by the end of the analysis period. Growth in the Tensor Processing Units (TPUs) segment is estimated at 32.7% CAGR over the analysis period.
The U.S. Market is Estimated at US$7.3 Billion While China is Forecast to Grow at 26.2% CAGR
The Artificial Intelligence Accelerators market in the U.S. is estimated at US$7.3 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$18.1 Billion by the year 2030 trailing a CAGR of 26.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 25.1% and 23.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.2% CAGR.
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.
TABLE OF CONTENTS
I. METHODOLOGY
II. EXECUTIVE SUMMARY
- 1. MARKET OVERVIEW
- Influencer Market Insights
- World Market Trajectories
- Economic Frontiers: Trends, Trials & Transformations
- Artificial Intelligence Accelerators - Global Key Competitors Percentage Market Share in 2024 (E)
- Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
- 2. FOCUS ON SELECT PLAYERS
III. MARKET ANALYSIS
IV. COMPETITION
