AI ASIC Chip Market Trends and Forecast
The future of the global AI ASIC chip market looks promising with opportunities in the AI training and AI service markets. The global AI ASIC chip market is expected to grow with a CAGR of 32.4% from 2024 to 2030. The major drivers for this market are increasing demand for high-performance computing and growing investments in AI hardware development.
• Lucintel forecasts that inference accelerator is expected to witness the highest growth over the forecast period.
• Within this market, AI training is expected to witness the higher growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI ASIC Chip Market
• United States: In the United States, companies like NVIDIA and Intel are leading initiatives in the AI ASIC Chips market. NVIDIA has announced advancements in its AI-specific chips, including the development of new generations of GPUs tailored for deep learning and AI applications. These chips aim to improve performance and energy efficiency, targeting sectors such as autonomous vehicles and data centers. Intel, on the other hand, has been investing heavily in AI ASIC s through its AI chip strategy, focusing on developing custom accelerators and neuromorphic computing technologies. The U.S. government supports semiconductor innovation and AI research through funding programs and initiatives aimed at maintaining leadership in AI hardware development.
• India: In India, companies are increasingly focusing on AI ASIC Chips to support the countryÄX%$%Xs growing AI ecosystem. Initiatives include collaborations between Indian startups and global semiconductor firms to develop AI-specific chips for local and international markets. Companies like Sankalp Semiconductor are working on custom ASIC solutions for AI applications, aiming to cater to sectors such as automotive, healthcare, and industrial automation. The Indian government promotes semiconductor manufacturing through initiatives like the National Policy on Electronics, which incentivizes domestic production and R&D in semiconductor technologies.
• China: In China, companies such as Huawei and Alibaba are advancing AI ASIC Chip developments. HuaweiÄX%$%Xs HiSilicon division has been actively developing AI chips for its devices and cloud services, focusing on enhancing performance and efficiency in AI processing tasks. Alibaba has invested in AI chip research through its semiconductor subsidiary, aiming to develop custom chips for its cloud computing infrastructure and AI-powered applications. The Chinese government supports semiconductor innovation and AI technology through policies that promote domestic production, research collaboration, and technology transfer in AI ASIC Chips.
• Germany:In Germany, companies like Infineon Technologies and Bosch are driving AI ASIC Chip advancements. Infineon Technologies focuses on developing AI-specific chips for automotive applications, including autonomous driving systems and advanced driver-assistance systems (ADAS). Bosch, a leader in automotive technology, integrates AI ASIC s into its IoT and industrial automation solutions to enhance operational efficiency and data processing capabilities. The German government supports semiconductor and AI research through initiatives like the European Processor Initiative, which aims to develop independent and competitive processor technologies for high-performance computing and AI applications.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI ASIC Chip Market by Segment
The study includes a forecast for the global AI ASIC chip market by type, application, and region.
AI ASIC Chip Market by Type [Value from 2018 to 2030]:
• Inference Accelerator
• Training Accelerator
• Edge AI Chip
• Spiking Neural Network Chip
• Quantum AI Chip
• Hybrid AI Chip
AI ASIC Chip Market by Application [Value from 2018 to 2030]:
• AI Training
• AI Service
• Others
AI ASIC Chip Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI ASIC 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 ASIC chip companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI ASIC chip companies profiled in this report include-
• AMD
• Huawei
• Graphcore
• Mythic
• Nvidia
• Alphabet
• Apple
Recent Development in the AI ASIC Chip Market
• NVIDIA : NVIDIA continues to lead in AI ASIC Chips with its development of specialized GPUs tailored for artificial intelligence and machine learning applications. The companyÄX%$%Xs latest initiatives include the launch of the NVIDIA A100 Tensor Core GPU, designed to accelerate AI workloads with its Ampere architecture. NVIDIA focuses on delivering high-performance AI computing capabilities for data centers, enabling faster training and inference tasks through advanced GPU technology. The A100 GPU integrates Tensor Cores for deep learning and includes features like Multi-Instance GPU (MIG) for efficient utilization across multiple applications and users.
• Intel : Intel has been actively expanding its presence in the AI ASIC Chips market through its diverse chip portfolio and strategic investments. The companyÄX%$%Xs initiatives include the development of AI-specific accelerators such as Intel Nervana Neural Network Processors (NNPs) and FPGAs. Intel aims to provide scalable and efficient AI solutions for data centers, edge computing, and autonomous systems. The companyÄX%$%Xs AI chip strategy focuses on improving performance, power efficiency, and programmability to meet the growing demands of AI workloads across various industries.
• Huawei : HuaweiÄX%$%Xs HiSilicon division has made significant strides in AI ASIC Chips with its Kirin chipsets, integrated into HuaweiÄX%$%Xs smartphones and other devices. The companyÄX%$%Xs initiatives include the development of Kirin processors equipped with Neural Processing Units (NPUs) for AI acceleration. Huawei focuses on enhancing AI capabilities in mobile devices, enabling features like AI photography, voice recognition, and smart assistants. The Kirin chipsets leverage AI algorithms for real-time processing and optimization, catering to the evolving needs of smartphone users globally.
• Google : Google has pioneered AI ASIC Chips with its Tensor Processing Units (TPUs), designed specifically for accelerating machine learning workloads in Google Cloud services. The companyÄX%$%Xs initiatives include the development of TPUs optimized for both training and inference tasks, supporting diverse AI applications such as natural language processing, image recognition, and recommendation systems. Google continues to invest in AI hardware advancements, enhancing the performance and efficiency of TPUs through iterative improvements and new architectural designs.
Features of the Global AI ASIC Chip Market
Market Size Estimates: AI ASIC chip market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI ASIC chip market size by type, application, and region in terms of value ($B).
Regional Analysis: AI ASIC 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 ASIC chip market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI ASIC 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 ASIC chip market?
Answer: The global AI ASIC chip market is expected to grow with a CAGR of 32.4% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI ASIC chip market?
Answer: The major drivers for this market are increasing demand for high-performance computing and growing investments in AI hardware development.
Q3. What are the major segments for AI ASIC chip market?
Answer: The future of the AI ASIC chip market looks promising with opportunities in the AI training and AI service markets.
Q4. Who are the key AI ASIC chip market companies?
Answer: Some of the key AI ASIC chip companies are as follows:
• AMD
• Huawei
• Graphcore
• Mythic
• Nvidia
• Alphabet
• Apple
Q5. Which AI ASIC chip market segment will be the largest in future?
Answer: Lucintel forecasts that inference accelerator is expected to witness the highest growth over the forecast period.
Q6. In AI ASIC 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 ASIC chip market by type (inference accelerator, training accelerator, edge AI chip, spiking neural network chip, quantum AI chip, and hybrid AI chip), application (AI training, AI service, 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?
For any questions related to AI ASIC Chip Market, AI ASIC Chip Market Size, AI ASIC Chip Market Growth, AI ASIC Chip Market Analysis, AI ASIC Chip Market Report, AI ASIC Chip Market Share, AI ASIC Chip Market Trends, AI ASIC Chip Market Forecast, AI ASIC Chip Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.