AI Accelerator Chip Market Trends and Forecast
The future of the global AI accelerator chip market looks promising with opportunities in the automotive, consumer electronic, healthcare, and manufacturing markets. The global AI accelerator chip market is expected to grow with a CAGR of 25.7% from 2024 to 2030. The major drivers for this market are increasing demand for AI-enabled devices, rise of autonomous vehicles and IoT, and growing need for faster data processing.
• Lucintel forecasts that GPU is expected to witness the highest growth over the forecast period.
• Within this market, automotive 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 Chip Market
• United States: NVIDIA launched the latest generation of AI accelerator chips, aiming to meet growing demand for AI computing power. The government supports AI innovation through research grants and incentives for semiconductor development.
• China: Huawei announced its Kunpeng series AI accelerator chips, focusing on enhancing AI capabilities in cloud computing. Government initiatives promote domestic semiconductor production and AI technology development.
• South Korea: Samsung Electronics expanded its AI accelerator chip portfolio for mobile and IoT devices, targeting enhanced performance and energy efficiency. The government supports semiconductor industry growth with investment incentives and R&D funding.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Accelerator Chip Market by Segment
The study includes a forecast for the global AI accelerator chip market by type, application, and region.
AI Accelerator Chip Market by Type [Value from 2018 to 2030]:
• GPU
• FPGA
• ASIC
• Others
AI Accelerator Chip Market by Application [Value from 2018 to 2030]:
• Automotive
• Consumer Electronics
• Healthcare
• Manufacturing
• Others
AI Accelerator Chip Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Accelerator Chip 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 chip companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI accelerator chip companies profiled in this report include-
• Nvidia
• Cadence
• AMD
• Intel
• Xilinx
• Samsung Electronics
• Micron Technology
• Qualcomm
• IBM
• Google
Recent Development in the AI Accelerator Chip Market
• NVIDIA: NVIDIA has launched the Ampere architecture GPUs, including the A100 Tensor Core GPUs, designed as AI accelerator chips for data centers. These chips offer advanced performance capabilities for AI workloads, supporting applications in deep learning, scientific computing, and data analytics. NVIDIA continues to innovate with advancements in AI processing power, aiming to drive the future of AI computing.
• Intel: Intel introduced the Intel Nervana Neural Network Processors (NNP-T), designed as AI accelerator chips for high-performance computing and AI inference tasks. These chips focus on enhancing AI model training and deployment efficiency, targeting applications in healthcare, autonomous vehicles, and industrial automation. Intel aims to expand its presence in the AI accelerator market by integrating advanced neural network processing capabilities into its chip architectures.
• Google: Google developed the Tensor Processing Units (TPUs), specialized AI accelerator chips optimized for machine learning workloads in Google Cloud Platform. These chips are designed to deliver high computational efficiency and scalability for training and inference tasks, supporting various AI applications across industries such as healthcare, finance, and media. Google continues to innovate with TPUs to meet growing demand for AI-powered services and solutions.
• AMD: AMD launched the Radeon Instinct MI100 accelerator, featuring advanced AI processing capabilities for scientific research and deep learning applications. These AI accelerator chips leverage AMDÄX%$%Xs RDNA 2 architecture to deliver high-performance computing power and efficiency, supporting accelerated AI model training and inference tasks. AMD aims to compete in the AI accelerator market by offering scalable solutions for data centers and enterprise AI deployments.
• Huawei: Huawei introduced the Ascend series AI chips, including the Ascend 910 and Ascend 310, aimed at enhancing AI computing capabilities across cloud, edge, and device environments. These chips support diverse AI applications such as image recognition, natural language processing, and autonomous driving, contributing to HuaweiÄX%$%Xs strategy in advancing AI technology and fostering innovation in AI-powered solutions globally.
Features of the Global AI Accelerator Chip Market
Market Size Estimates: AI accelerator chip market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI accelerator chip market size by type, application, and region in terms of value ($B).
Regional Analysis: AI accelerator chip 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 chip market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI accelerator chip 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 chip market?
Answer: The global AI accelerator chip market is expected to grow with a CAGR of 25.7% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI accelerator chip market?
Answer: The major drivers for this market are increasing demand for AI-enabled devices, rise of autonomous vehicles and IoT, and growing need for faster data processing.
Q3. What are the major segments for AI accelerator chip market?
Answer: The future of the AI accelerator chip market looks promising with opportunities in the automotive, consumer electronic, healthcare, and manufacturing markets.
Q4. Who are the key AI accelerator chip market companies?
Answer: Some of the key AI accelerator chip companies are as follows:
• Nvidia
• Cadence
• AMD
• Intel
• Xilinx
• Samsung Electronics
• Micron Technology
• Qualcomm
• IBM
• Google
Q5. Which AI accelerator chip market segment will be the largest in future?
Answer: Lucintel forecasts that GPU is expected to witness the highest growth over the forecast period.
Q6. In AI accelerator chip 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 chip market by type (GPU, FPGA, ASIC, and others), application (automotive, consumer electronics, healthcare, manufacturing, 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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