AI Accelerator Market Trends and Forecast
The future of the global AI accelerator market looks promising with opportunities in the robotic, consumer electronic, and security system markets. The global AI accelerator market is expected to grow with a CAGR of 26.8% from 2024 to 2030. The major drivers for this market are emergence of industry 4.0, rising need for AI-powered security solutions, and increasing preference for quantum computing.
• Lucintel forecasts that graphics processing unit is expected to witness higher growth over the forecast period.
• Within this market, robotic is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI Accelerator Market
• United States: NVIDIA announced new AI accelerator chips aimed at boosting data center performance. IntelÄX%$%Xs initiatives focus on AI-driven processor enhancements. The U.S. government is funding AI research and development through the National AI Initiative Act.
• China: Alibaba and Huawei are developing AI accelerator chips to enhance cloud computing services. The Chinese government is heavily investing in AI infrastructure and talent through its AI development plan aiming for global leadership by 2030.
• South Korea: Samsung is advancing its AI accelerator technology for mobile and automotive applications. The government has announced a substantial increase in funding for AI research, targeting to be a top-five AI powerhouse by 2025.
• United Kingdom: Graphcore has introduced next-gen AI accelerators for improved machine learning efficiency. The UK government supports AI growth through initiatives like the AI Sector Deal, which includes funding and collaboration opportunities for tech companies.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Accelerator Market by Segment
The study includes a forecast for the global AI accelerator market by type, application, and region.
AI Accelerator Market by Type [Value from 2018 to 2030]:
• Graphics Processing Unit
• Vision Processing Unit
• Others
AI Accelerator Market by Application [Value from 2018 to 2030]:
• Robotics
• Consumer Electronics
• Security Systems
• Others
AI Accelerator Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Accelerator Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI accelerator companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI accelerator companies profiled in this report include-
• Huawei Technologies
• Qualcomm
• FinGenius
• General Vision
• IBM Corporation
• NVIDIA Corporation
• Intel Corporation
• MediaTek
• Inbenta Technologies
• Cerebras Systems
Recent Development in the AI Accelerator Market
• NVIDIA: NVIDIA has launched its latest AI accelerator, the H100 Tensor Core GPU, which offers unprecedented performance for AI workloads in data centers. The company continues to lead in AI hardware innovation, supporting advancements in machine learning, deep learning, and high-performance computing across various industries.
• Intel: Intel recently unveiled its Gaudi2 AI training accelerators, designed to deliver enhanced deep learning performance. These accelerators target AI model training, promising faster and more efficient processing capabilities. Intel is also investing in AI software solutions to complement its hardware innovations, ensuring seamless integration and optimization.
• Google: Google announced the fourth generation of its Tensor Processing Units (TPUs), designed to accelerate AI and machine learning tasks in its data centers. These TPUs are integral to GoogleÄX%$%Xs cloud services, offering customers powerful tools to build and deploy AI models with greater speed and efficiency.
• Graphcore: Graphcore introduced the IPU-POD64 system, a new AI accelerator designed for large-scale machine learning models. The company aims to provide AI researchers and developers with cutting-edge tools to tackle complex AI challenges. GraphcoreÄX%$%Xs technology focuses on maximizing computational efficiency and scalability.
• AMD: AMD launched its MI200 series of AI accelerators, which include the MI250 and MI250X GPUs. These accelerators are built to handle intensive AI workloads, offering high performance and energy efficiency. AMDÄX%$%Xs initiative underscores its commitment to advancing AI technology and competing with other leading AI hardware providers.
Features of the Global AI Accelerator Market
Market Size Estimates: AI accelerator market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI accelerator market size by type, application, and region in terms of value ($B).
Regional Analysis: AI accelerator market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI accelerator market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI accelerator market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI accelerator market?
Answer: The global AI accelerator market is expected to grow with a CAGR of 26.8% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI accelerator market?
Answer: The major drivers for this market are emergence of industry 4.0, rising need for AI-powered security solutions, and increasing preference for quantum computing.
Q3. What are the major segments for AI accelerator market?
Answer: The future of the AI accelerator market looks promising with opportunities in the robotic, consumer electronic, and security system markets.
Q4. Who are the key AI accelerator market companies?
Answer: Some of the key AI accelerator companies are as follows:
• Huawei Technologies
• Qualcomm
• FinGenius
• General Vision
• IBM Corporation
• NVIDIA Corporation
• Intel Corporation
• MediaTek
• Inbenta Technologies
• Cerebras Systems
Q5. Which AI accelerator market segment will be the largest in future?
Answer: Lucintel forecasts that graphics processing unit is expected to witness higher growth over the forecast period.
Q6. In AI accelerator market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the AI accelerator market by type (graphics processing unit, vision processing unit, and others), application (robotics, consumer electronics, security systems, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
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