AI Acceleration Module Market Trends and Forecast
The future of the global AI acceleration module market looks promising with opportunities in the industrial, smart wearable device, smart home, and automobile markets. The global AI acceleration module market is expected to grow with a CAGR of 33.2% from 2024 to 2030. The major drivers for this market are increasing demand for specialized hardware acceleration, growing need for faster processing & improved efficiency in AI applications, and rising demand for AI acceleration modules in edge devices for real-time processing.
• Lucintel forecasts that mini is expected to witness higher growth over the forecast period.
• Within this market, industrial 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 Acceleration Module Market
• United States: NVIDIA launched the A100 Tensor Core GPU, aiming to accelerate AI workloads across various sectors. The U.S. government supports AI research and development through initiatives fostering innovation in technology and defense.
• China: Huawei introduced its Ascend series AI chips, targeting AI acceleration in cloud and edge computing. Chinese government initiatives promote AI innovation and adoption in industries to strengthen economic competitiveness.
• Japan: NEC announced its vector supercomputer SX-Aurora TSUBASA, integrating AI acceleration for high-performance computing tasks. Japanese government policies focus on AI technology advancement to enhance industrial productivity and innovation capabilities.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Acceleration Module Market by Segment
The study includes a forecast for the global AI acceleration module market by type, application, and region.
AI Acceleration Module Market by Type [Value from 2018 to 2030]:
• Mini
• Small
AI Acceleration Module Market by Application [Value from 2018 to 2030]:
• Industrial
• Smart Wearable Devices
• Smart Home
• Automobile
• Others
AI Acceleration Module Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Acceleration Module 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 acceleration module companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI acceleration module companies profiled in this report include-
• Murata
• Advantech
• Kneron
• Xilinx
• Hailo
• Edgecortix
• Roviero
• FlexLogix
• Architek
• Expedera
Recent Development in the AI Acceleration Module Market
• NVIDIA: NVIDIA introduced the A100 Tensor Core GPU, optimized for AI workloads with enhanced performance and efficiency. This GPU is aimed at accelerating AI training and inference tasks across data centers, addressing the growing demand for high-performance AI acceleration modules.
• Huawei: Huawei launched its Ascend series AI chips, including the Ascend 910 and Ascend 310, designed for AI inference and training in cloud and edge computing environments. These chips are part of HuaweiÄX%$%Xs strategy to offer comprehensive AI acceleration solutions, catering to diverse applications in telecommunications, healthcare, and smart cities.
• Intel: Intel announced its Xeons with integrated AI accelerators, targeting enhanced AI performance in data centers and edge devices. This initiative reflects IntelÄX%$%Xs commitment to integrating AI capabilities into its processor portfolio, aiming to provide scalable and efficient solutions for AI-driven workloads in various industries.
• Google: Google has developed the TPU (Tensor Processing Unit), a specialized AI accelerator chip designed to optimize machine learning workloads on its cloud platform. Google continues to innovate with AI acceleration technologies, enhancing performance and scalability for AI applications across different sectors, including healthcare, finance, and media.
• AMD: AMD introduced its Radeon Instinct MI series GPUs, focusing on AI inference and training applications in data centers. These GPUs feature high computational efficiency and scalability, catering to the increasing demand for AI acceleration modules in enterprise-level AI deployments and scientific research.
Features of the Global AI Acceleration Module Market
Market Size Estimates: AI acceleration module market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI acceleration module market size by type, application, and region in terms of value ($B).
Regional Analysis: AI acceleration module 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 acceleration module market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI acceleration module market.
Análisis de la intensidad competitiva de la industria basada en el modelo de cinco fuerzas de Porter.
Preguntas frecuentes
Q1. What is the growth forecast for AI acceleration module market?
Answer: The global AI acceleration module market is expected to grow with a CAGR of 33.2% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI acceleration module market?
Answer: The major drivers for this market are increasing demand for specialized hardware acceleration, growing need for faster processing & improved efficiency in AI applications, and rising demand for AI acceleration modules in edge devices for real-time processing.
Q3. What are the major segments for AI acceleration module market?
Answer: The future of the AI acceleration module market looks promising with opportunities in the industrial, smart wearable device, smart home, and automobile markets.
Q4. Who are the key AI acceleration module market companies?
Answer: Some of the key AI acceleration module companies are as follows:
• Murata
• Advantech
• Kneron
• Xilinx
• Hailo
• Edgecortix
• Roviero
• FlexLogix
• Architek
• Expedera
Q5. Which AI acceleration module market segment will be the largest in future?
Answer: Lucintel forecasts that mini is expected to witness higher growth over the forecast period.
Q6. In AI acceleration module 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 acceleration module market by type (mini and small), application (industrial, smart wearable devices, smart home, automobile, 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 Acceleration Module Market, AI Acceleration Module Market Size, AI Acceleration Module Market Growth, AI Acceleration Module Market Analysis, AI Acceleration Module Market Report, AI Acceleration Module Market Share, AI Acceleration Module Market Trends, AI Acceleration Module Market Forecast, AI Acceleration Module Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.