AI GPU Market Trends and Forecast
The future of the global AI GPU market looks promising with opportunities in the machine learning, language models/NLP, and computer vision markets. The global AI GPU market is expected to grow with a CAGR of 26.8% from 2024 to 2030. The major drivers for this market are rising need of powerful GPUs for efficient processing, growth in data generation, and increasing implementation of ai across industries, such as healthcare, finance, and autonomous vehicles.
• Lucintel forecasts that ≤16gb is expected to witness the highest growth over the forecast period.
• Within this market, machine learning 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 GPU Market
• United States: NVIDIA announced the launch of its A100 Tensor Core GPU to accelerate AI and high-performance computing, targeting various sectors including healthcare and automotive.
• China: Alibaba introduced its AI-powered Hanguang 800 neural network chip to boost its cloud services, aiming to enhance efficiency and reduce costs for businesses.
• South Korea: Samsung announced a $116 billion investment plan in AI and semiconductor technologies, aiming to become a leader in the global AI chip market by 2030.
• Germany: The government pledged significant funding to AI research, including the development of GPU-based AI systems, as part of its AI strategy to position the country as a top AI innovator.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI GPU Market by Segment
The study includes a forecast for the global AI GPU market by type, application, and region.
AI GPU Market by Type [Value from 2018 to 2030]:
• ≤16GB
• 32-80GB
• Above 80GB
AI GPU Market by Application [Value from 2018 to 2030]:
• Machine Learning
• Language Models/NLP
• Computer Vision
• Others
AI GPU Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI GPU 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 GPU companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI GPU companies profiled in this report include-
• NVIDIA
• AMD
• Intel
• Shanghai Denglin
• Vastai Technologies
• Shanghai Iluvatar
• Metax Tech
Recent Development in the AI GPU Market
• NVIDIA: NVIDIA introduced the A100 Tensor Core GPU, designed to accelerate AI workloads and high-performance computing. This GPU is being integrated into leading cloud service providers and enterprise data centers to enhance AI capabilities.
• AMD: AMD launched the MI100 GPU, targeting data centers and AI applications. The GPU aims to provide superior performance in machine learning and scientific computing tasks, positioning AMD as a strong competitor in the AI GPU market.
• Google: Google announced the development of its Tensor Processing Units (TPUs) for AI applications. While not traditional GPUs, TPUs are designed to optimize AI and machine learning processes, offering an alternative to conventional GPU solutions in the cloud and enterprise environments.
• Intel: Intel acquired Habana Labs, an AI chip startup, to bolster its AI hardware capabilities. This acquisition is part of IntelÄX%$%Xs strategy to expand its presence in the AI market by providing high-performance AI processors and accelerators.
• Alibaba: Alibaba Cloud introduced the Hanguang 800 AI inference chip, designed to optimize performance and energy efficiency for AI applications. This development is part of AlibabaÄX%$%Xs broader strategy to enhance its cloud computing services and AI capabilities, targeting both domestic and international markets.
Features of the Global AI GPU Market
Market Size Estimates: AI GPU market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI GPU market size by type, application, and region in terms of value ($B).
Regional Analysis: AI GPU 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 GPU market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI GPU market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI GPU market?
Answer: The global AI GPU 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 GPU market?
Answer: The major drivers for this market are rising need of powerful GPUs for efficient processing, growth in data generation, and increasing implementation of ai across industries, such as healthcare, finance, and autonomous vehicles.
Q3. What are the major segments for AI GPU market?
Answer: The future of the AI GPU market looks promising with opportunities in the machine learning, language models/NLP, and computer vision markets.
Q4. Who are the key AI GPU market companies?
Answer: Some of the key AI GPU companies are as follows:
• NVIDIA
• AMD
• Intel
• Shanghai Denglin
• Vastai Technologies
• Shanghai Iluvatar
• Metax Tech
Q5. Which AI GPU market segment will be the largest in future?
Answer: Lucintel forecasts that ≤16gb is expected to witness the highest growth over the forecast period.
Q6. In AI GPU 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 GPU market by type (≤16gb, 32-80gb, and above 80gb), application (machine learning, language models/NLP, computer vision, 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 GPU Market, AI GPU Market Size, AI GPU Market Growth, AI GPU Market Analysis, AI GPU Market Report, AI GPU Market Share, AI GPU Market Trends, AI GPU Market Forecast, AI GPU Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.