AI Data Center Market Trends and Forecast
The future of the global AI data center market looks promising with opportunities in the financial service, medical insurance, smart manufacturing, and smart transportation markets. The global AI data center market is expected to grow with a CAGR of 22.5% from 2024 to 2030. The major drivers for this market are increased demand for high-performance computing power to support AI workloads, growing adoption of AI applications in data analytics and machine learning, and rising need for efficient data processing and storage capabilities to handle large volumes of AI-generated data.
• Lucintel forecasts that GPU data center is expected to witness higher growth over the forecast period.
• Within this market, financial service 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 Data Center Market
• USA - Google and Amazon expand AI data center capabilities with new server architectures for machine learning and AI research. Government targets include funding AI infrastructure projects to enhance national competitiveness.
• China - Alibaba and Tencent invest in AI data centers for cloud computing and AI-driven services. Government targets aim at AI technology leadership and expanding digital infrastructure.
• Germany - Deutsche Telekom and SAP collaborate on AI data center solutions for enterprise AI applications and IoT. Government targets include promoting AI research hubs and digital transformation initiatives.
• Singapore - Singtel and ST Engineering develop AI data center technologies for smart city applications and cybersecurity. Government targets focus on AI innovation grants and fostering a robust digital economy.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI Data Center Market by Segment
The study includes a forecast for the global AI data center market by type, application, and region.
AI Data Center Market by Type [Value from 2018 to 2030]:
• GPU Data Center
• Asic Data Center
• Hybrid Data Center
AI Data Center Market by Application [Value from 2018 to 2030]:
• Financial Services
• Medical Insurance
• Smart Manufacturing
• Smart Transportation
• Others
AI Data Center Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI Data Center 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 data center companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI data center companies profiled in this report include-
• IBM
• LG CNS
• Tachyum
• Scaleway
• Nexgen Cloud
• Google Cloud
• Oracle Cloud
Recent Development in the AI Data Center Market
• Google: Google announces plans to invest $7 billion in expanding its global data centers with a focus on AI and machine learning capabilities to support cloud services and research.
• Microsoft: Microsoft Azure introduces AI-focused data centers equipped with specialized hardware like GPUs and FPGAs to accelerate AI training and inference tasks for enterprise customers.
• Amazon Web Services (AWS): AWS launches new AI-powered data centers in regions worldwide, integrating advanced AI services such as natural language processing and computer vision for diverse business applications.
• NVIDIA: NVIDIA partners with leading data center operators to deploy AI-optimized hardware solutions like DGX systems, enabling faster AI model training and real-time inference capabilities in data centers
Features of the Global AI Data Center Market
Market Size Estimates: AI data center market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI data center market size by type, application, and region in terms of value ($B).
Regional Analysis: AI data center 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 data center market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI data center market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI data center market?
Answer: The global AI data center market is expected to grow with a CAGR of 22.5% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI data center market?
Answer: The major drivers for this market are increased demand for high-performance computing power to support AI workloads, growing adoption of AI applications in data analytics and machine learning, and rising need for efficient data processing and storage capabilities to handle large volumes of AI-generated data.
Q3. What are the major segments for AI data center market?
Answer: The future of the global AI data center market looks promising with opportunities in the financial service, medical insurance, smart manufacturing, and smart transportation markets.
Q4. Who are the key AI data center market companies?
Answer: Some of the key AI data center companies are as follows:
• IBM
• LG CNS
• Tachyum
• Scaleway
• Nexgen Cloud
• Google Cloud
• Oracle Cloud
Q5. Which AI data center market segment will be the largest in future?
Answer: Lucintel forecasts that GPU data center is expected to witness higher growth over the forecast period.
Q6. In AI data center 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 data center market by type (GPU data center, ASIC data center, and hybrid data center), application (financial services, medical insurance, smart manufacturing, smart transportation, 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 Data Center Market, AI Data Center Market Size, AI Data Center Market Growth, AI Data Center Market Analysis, AI Data Center Market Report, AI Data Center Market Share, AI Data Center Market Trends, AI Data Center Market Forecast, AI Data Center Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.