Artificial Intelligence Ai Server Market
PUBLISHED: 2025 ID: SMRC28355
SHARE
SHARE

Artificial Intelligence Ai Server Market

Artificial Intelligence (AI) Server Market Forecasts to 2030 - Global Analysis By Server Type (Rack Servers, Blade Servers, Tower Servers, Hyper-Converged Servers and Other Server Types), Component, Deployment Mode, Application, End User and By Geography

4.8 (62 reviews)
4.8 (62 reviews)
Published: 2025 ID: SMRC28355

This report covers the impact of COVID-19 on this global market
Loading...

Years Covered

2022-2030

Estimated Year Value (2024)

US $34.58 BN

Projected Year Value (2030)

US $435.26 BN

CAGR (2024 - 2030)

36.2%

Regions Covered

North America, Europe, Asia Pacific, South America, and Middle East & Africa

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

Asia Pacific

Highest Growing Market

North America


According to Stratistics MRC, the Global Artificial Intelligence (AI) Server Market is accounted for $34.58 billion in 2024 and is expected to reach $435.26 billion by 2030 growing at a CAGR of 36.2% during the forecast period. An Artificial Intelligence (AI) server is a specialized computing system designed to support and accelerates AI workloads, such as machine learning, deep learning, and data analysis. It typically features high-performance processors, large memory, and powerful graphics processing units (GPUs) to handle complex algorithms and large datasets. These servers enable rapid model training, inference processing, and support for real-time AI-driven decision-making, making them crucial in various industries.

According to the research paper of Science Direct, AI servers comprised approximately 23% of the total server market in 2023.

Market Dynamics: 

Driver: 

Rising shift towards cloud-based AI services

The rising shift towards cloud-based AI services is driven by the increasing demand for scalable, flexible, and cost-efficient AI solutions. Cloud platforms enable businesses to access powerful AI models and computing resources without the need for on-premises infrastructure, reducing capital expenditures. This shift accelerates AI adoption across various sectors by offering faster deployment, high availability, and enhanced collaboration. The cloud environment fosters rapid advancements in AI technology, creating a thriving ecosystem for AI server market expansion.

Restraint:

Data privacy and security concerns

Data privacy and security concerns in AI servers arise from the vast amounts of sensitive data processed by AI systems, such as personal, financial, and health information. The potential for data breaches, unauthorized access, or misuse of AI-driven insights poses risks to individuals and organizations. These concerns hinder the growth of the AI server market as businesses and governments may face regulatory restrictions, compliance costs, and consumer mistrust.

Opportunity:

Rollout of 5G networks

5G enables real-time processing of large datasets generated by AI-powered systems, such as autonomous vehicles, smart cities, and IoT devices. This accelerated connectivity empowers AI servers to deliver faster decision-making, deeper insights, and more efficient operations. With 5G, the demand for edge computing and high-performance AI servers grows, as businesses require powerful infrastructure to support low-latency AI tasks, boosting market growth and enabling new applications in industries like healthcare, automotive, and manufacturing.

Threat:

High initial investment & maintenance costs

The high initial investment and maintenance costs of AI servers are driven by the need for advanced hardware components like powerful processors, GPUs, and large storage systems, which are expensive to develop and implement. Additionally, maintaining these servers requires skilled personnel, frequent software updates, and infrastructure upgrades, contributing to ongoing costs. These factors can hamper the growth of the AI server market, as the high costs limit accessibility and adoption.

Covid-19 Impact

The covid-19 pandemic accelerated the demand for artificial intelligence (AI) servers as businesses sought to enhance digital transformation, automate processes, and optimize operations. The increased reliance on remote work, e-commerce, and healthcare applications led to a surge in data processing needs, driving the adoption of AI servers. However, supply chain disruptions and chip shortages during the pandemic temporarily hindered production and delivery, slowing market growth. Despite these challenges, the overall trend towards AI-driven solutions remained positive.

The predictive analytics segment is expected to be the largest during the forecast period

The predictive analytics segment is predicted to secure the largest market share throughout the forecast period. AI servers play a crucial role in predictive analytics by processing vast amounts of historical and real-time data to forecast future trends and behaviours. By providing faster data analysis and improving decision-making accuracy, AI servers enhance predictive models, enabling businesses to optimize operations, reduce risks, and drive growth in a competitive market.

The telecommunications segment is expected to have the highest CAGR during the forecast period

The telecommunications segment is anticipated to witness the highest CAGR during the forecast period. In telecommunications, AI servers are used to optimize network management, improve customer service, and enhance predictive maintenance. These servers process large volumes of data from network operations, enabling real-time monitoring, anomaly detection, and automated decision-making. AI servers support chatbots and virtual assistants, improving customer engagement and reducing operational costs for telecom companies by automating routine tasks and troubleshooting.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period driven by advancements in AI technologies and increasing adoption across sectors like healthcare, automotive, and finance. Countries such as China, Japan, South Korea, and India are major contributors to the market, with high demand for AI servers in industries like manufacturing, research, and government initiatives. The region's expanding digital infrastructure, coupled with strong investments in AI research, is propelling the market.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period fuelled by strong technological advancements and significant investments in AI research. The United States, particularly, is a major market driver, with its tech giants and cloud service providers leading AI innovations and deployment. The region's robust digital infrastructure, emphasis on AI-powered solutions, and government support for AI initiatives contribute to market growth. 

Key players in the market

Some of the key players profiled in the Artificial Intelligence (AI) Server Market include NVIDIA Corporation, Intel Corporation, IBM Corporation, Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Netweb Technologies India Limited, Dell Technologies Inc., Cisco Systems Inc., Oracle Corporation, Lenovo Group Limited, Huawei Technologies Corporation, Alibaba Group, Baidu Inc., Qualcomm Incorporated, Supermicro Computer, Inc., Micron Technology Inc., Fujitsu Limited, HP Enterprise (HPE) and Inspur Group.

Key Developments:

In October 2024, Netweb Technologies has expanded its range of AI servers by launching the Tyrone series, which integrates NVIDIA's MGX platform. This series is the first in India to incorporate NVIDIA MGX-based Grace and GH200 Grace Hopper Superchips, marking a significant advancement in the country's AI infrastructure.

In September 2024, Lenovo has announced plans to manufacture AI servers in India and has opened a new AI-centric lab in the country. This strategic move is aimed at expanding its presence in the growing AI market in India, as well as catering to the increasing demand for AI-based solutions in various sectors such as healthcare, finance, education, and government.

Server Types Covered:
• Rack Servers
• Blade Servers
• Tower Servers
• Hyper-Converged Servers
• Other Server Types

Components Covered:
• Hardware
• Software

Deployment Modes Covered:
• On-Premise
• Cloud-Based

Applications Covered:
• Natural Language Processing (NLP)
• Machine Learning
• Image Recognition
• Speech Recognition
• Predictive Analytics
• Robotics
• Other Applications

End Users Covered:
• Healthcare
• Automotive
• Manufacturing
• Telecommunications
• Finance
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan        
o China        
o India        
o Australia  
o New Zealand
o South Korea
o Rest of Asia Pacific    
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa 
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings: 
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary   
     
2 Preface    

 2.1 Abstract   
 2.2 Stake Holders  
 2.3 Research Scope  
 2.4 Research Methodology 
  2.4.1 Data Mining 
  2.4.2 Data Analysis 
  2.4.3 Data Validation 
  2.4.4 Research Approach 
 2.5 Research Sources  
  2.5.1 Primary Research Sources
  2.5.2 Secondary Research Sources
  2.5.3 Assumptions 
     
3 Market Trend Analysis  
 3.1 Introduction  
 3.2 Drivers   
 3.3 Restraints  
 3.4 Opportunities  
 3.5 Threats   
 3.6 Application Analysis 
 3.7 End User Analysis  
 3.8 Emerging Markets  
 3.9 Impact of Covid-19  
     
4 Porters Five Force Analysis  
 4.1 Bargaining power of suppliers 
 4.2 Bargaining power of buyers 
 4.3 Threat of substitutes 
 4.4 Threat of new entrants 
 4.5 Competitive rivalry  
     
5 Global Artificial Intelligence (AI) Server Market, By Server Type
 5.1 Introduction  
 5.2 Rack Servers  
 5.3 Blade Servers  
 5.4 Tower Servers  
 5.5 Hyper-Converged Servers 
 5.6 Other Server Types  
     
6 Global Artificial Intelligence (AI) Server Market, By Component
 6.1 Introduction  
 6.2 Hardware  
  6.2.1 Processors 
  6.2.2 Memory  
  6.2.3 Networking Equipment
  6.2.4 Power Supply Units 
 6.3 Software   
  6.3.1 AI Frameworks 
  6.3.2 Operating Systems 
  6.3.3 AI Development Tools
     
7 Global Artificial Intelligence (AI) Server Market, By Deployment Mode
 7.1 Introduction  
 7.2 On-Premise  
 7.3 Cloud-Based  
     
8 Global Artificial Intelligence (AI) Server Market, By Application
 8.1 Introduction  
 8.2 Natural Language Processing (NLP)
 8.3 Machine Learning  
 8.4 Image Recognition  
 8.5 Speech Recognition  
 8.6 Predictive Analytics  
 8.7 Robotics   
 8.8 Other Applications  
     
9 Global Artificial Intelligence (AI) Server Market, By End User
 9.1 Introduction  
 9.2 Healthcare  
 9.3 Automotive  
 9.4 Manufacturing  
 9.5 Telecommunications 
 9.6 Finance   
 9.7 Other End Users  
     
10 Global Artificial Intelligence (AI) Server Market, By Geography
 10.1 Introduction  
 10.2 North America  
  10.2.1 US  
  10.2.2 Canada  
  10.2.3 Mexico  
 10.3 Europe   
  10.3.1 Germany  
  10.3.2 UK  
  10.3.3 Italy  
  10.3.4 France  
  10.3.5 Spain  
  10.3.6 Rest of Europe 
 10.4 Asia Pacific  
  10.4.1 Japan  
  10.4.2 China  
  10.4.3 India  
  10.4.4 Australia  
  10.4.5 New Zealand 
  10.4.6 South Korea 
  10.4.7 Rest of Asia Pacific 
 10.5 South America  
  10.5.1 Argentina 
  10.5.2 Brazil  
  10.5.3 Chile  
  10.5.4 Rest of South America
 10.6 Middle East & Africa 
  10.6.1 Saudi Arabia 
  10.6.2 UAE  
  10.6.3 Qatar  
  10.6.4 South Africa 
  10.6.5 Rest of Middle East & Africa
     
11 Key Developments   
 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
 11.2 Acquisitions & Mergers 
 11.3 New Product Launch 
 11.4 Expansions  
 11.5 Other Key Strategies 
     
12 Company Profiling   
 12.1 NVIDIA Corporation  
 12.2 Intel Corporation  
 12.3 IBM Corporation  
 12.4 Google LLC  
 12.5 Microsoft Corporation 
 12.6 Amazon Web Services (AWS) 
 12.7 Netweb Technologies India Limited
 12.8 Dell Technologies Inc. 
 12.9 Cisco Systems Inc.  
 12.10 Oracle Corporation  
 12.11 Lenovo Group Limited 
 12.12 Huawei Technologies Corporation
 12.13 Alibaba Group  
 12.14 Baidu Inc.  
 12.15 Qualcomm Incorporated 
 12.16 Supermicro Computer, Inc. 
 12.17 Micron Technology Inc. 
 12.18 Fujitsu Limited  
 12.19 HP Enterprise (HPE)  
 12.20 Inspur Group  
     
List of Tables    
1 Global Artificial Intelligence (AI) Server Market Outlook, By Region (2022-2030) ($MN)
2 Global Artificial Intelligence (AI) Server Market Outlook, By Server Type (2022-2030) ($MN)
3 Global Artificial Intelligence (AI) Server Market Outlook, By Rack Servers (2022-2030) ($MN)
4 Global Artificial Intelligence (AI) Server Market Outlook, By Blade Servers (2022-2030) ($MN)
5 Global Artificial Intelligence (AI) Server Market Outlook, By Tower Servers (2022-2030) ($MN)
6 Global Artificial Intelligence (AI) Server Market Outlook, By Hyper-Converged Servers (2022-2030) ($MN)
7 Global Artificial Intelligence (AI) Server Market Outlook, By Other Server Types (2022-2030) ($MN)
8 Global Artificial Intelligence (AI) Server Market Outlook, By Component (2022-2030) ($MN)
9 Global Artificial Intelligence (AI) Server Market Outlook, By Hardware (2022-2030) ($MN)
10 Global Artificial Intelligence (AI) Server Market Outlook, By Processors (2022-2030) ($MN)
11 Global Artificial Intelligence (AI) Server Market Outlook, By Memory (2022-2030) ($MN)
12 Global Artificial Intelligence (AI) Server Market Outlook, By Networking Equipment (2022-2030) ($MN)
13 Global Artificial Intelligence (AI) Server Market Outlook, By Power Supply Units (2022-2030) ($MN)
14 Global Artificial Intelligence (AI) Server Market Outlook, By Software (2022-2030) ($MN)
15 Global Artificial Intelligence (AI) Server Market Outlook, By AI Frameworks (2022-2030) ($MN)
16 Global Artificial Intelligence (AI) Server Market Outlook, By Operating Systems (2022-2030) ($MN)
17 Global Artificial Intelligence (AI) Server Market Outlook, By AI Development Tools (2022-2030) ($MN)
18 Global Artificial Intelligence (AI) Server Market Outlook, By Deployment Mode (2022-2030) ($MN)
19 Global Artificial Intelligence (AI) Server Market Outlook, By On-Premise (2022-2030) ($MN)
20 Global Artificial Intelligence (AI) Server Market Outlook, By Cloud-Based (2022-2030) ($MN)
21 Global Artificial Intelligence (AI) Server Market Outlook, By Application (2022-2030) ($MN)
22 Global Artificial Intelligence (AI) Server Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
23 Global Artificial Intelligence (AI) Server Market Outlook, By Machine Learning (2022-2030) ($MN)
24 Global Artificial Intelligence (AI) Server Market Outlook, By Image Recognition (2022-2030) ($MN)
25 Global Artificial Intelligence (AI) Server Market Outlook, By Speech Recognition (2022-2030) ($MN)
26 Global Artificial Intelligence (AI) Server Market Outlook, By Predictive Analytics (2022-2030) ($MN)
27 Global Artificial Intelligence (AI) Server Market Outlook, By Robotics (2022-2030) ($MN)
28 Global Artificial Intelligence (AI) Server Market Outlook, By Other Applications (2022-2030) ($MN)
29 Global Artificial Intelligence (AI) Server Market Outlook, By End User (2022-2030) ($MN)
30 Global Artificial Intelligence (AI) Server Market Outlook, By Healthcare (2022-2030) ($MN)
31 Global Artificial Intelligence (AI) Server Market Outlook, By Automotive (2022-2030) ($MN)
32 Global Artificial Intelligence (AI) Server Market Outlook, By Manufacturing (2022-2030) ($MN)
33 Global Artificial Intelligence (AI) Server Market Outlook, By Telecommunications (2022-2030) ($MN)
34 Global Artificial Intelligence (AI) Server Market Outlook, By Finance (2022-2030) ($MN)
35 Global Artificial Intelligence (AI) Server Market Outlook, By Other End Users (2022-2030) ($MN)
     
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

Frequently Asked Questions

In case of any queries regarding this report, you can contact the customer service by filing the “Inquiry Before Buy” form available on the right hand side. You may also contact us through email: info@strategymrc.com or phone: +1-301-202-5929

Yes, the samples are available for all the published reports. You can request them by filling the “Request Sample” option available in this page.

Yes, you can request a sample with your specific requirements. All the customized samples will be provided as per the requirement with the real data masked.

All our reports are available in Digital PDF format. In case if you require them in any other formats, such as PPT, Excel etc you can submit a request through “Inquiry Before Buy” form available on the right hand side. You may also contact us through email: info@strategymrc.com or phone: +1-301-202-5929

We offer a free 15% customization with every purchase. This requirement can be fulfilled for both pre and post sale. You may send your customization requirements through email at info@strategymrc.com or call us on +1-301-202-5929.

We have 3 different licensing options available in electronic format.

  • Single User Licence: Allows one person, typically the buyer, to have access to the ordered product. The ordered product cannot be distributed to anyone else.
  • 2-5 User Licence: Allows the ordered product to be shared among a maximum of 5 people within your organisation.
  • Corporate License: Allows the product to be shared among all employees of your organisation regardless of their geographical location.

All our reports are typically be emailed to you as an attachment.

To order any available report you need to register on our website. The payment can be made either through CCAvenue or PayPal payments gateways which accept all international cards.

We extend our support to 6 months post sale. A post sale customization is also provided to cover your unmet needs in the report.

Request Customization

We provide a free 15% customization on every purchase. This requirement can be fulfilled for both pre and post sale. You may send your customization requirements through email at info@strategymrc.com or call us on +1-301-202-5929.

Note: This customization is absolutely free until it falls under the 15% bracket. If your requirement exceeds this a feasibility check will be performed. Post that, a quote will be provided along with the timelines.

WHY CHOOSE US ?

Assured Quality

Assured Quality

Best in class reports with high standard of research integrity

24X7 Research Support

24X7 Research Support

Continuous support to ensure the best customer experience.

Free Customization

Free Customization

Adding more values to your product of interest.

Safe and Secure Access

Safe & Secure Access

Providing a secured environment for all online transactions.

Trusted by 600+ Brands

Trusted by 600+ Brands

Serving the most reputed brands across the world.

Testimonials