AI Server Market Size - By Servers (AI Data, AI Training, AI Inference), By End User (IT & Telecommunication, Transportation and Automotive, BFSI, Retail and Ecommerce, Healthcare and Pharmaceutical, Industrial Automation), By Hardware & Forecast, 2024 -
Description
AI Server Market Size - By Servers (AI Data, AI Training, AI Inference), By End User (IT & Telecommunication, Transportation and Automotive, BFSI, Retail and Ecommerce, Healthcare and Pharmaceutical, Industrial Automation), By Hardware & Forecast, 2024 - 2032
AI Server Market size is estimated to depict over 18% CAGR from 2024 to 2032. The exponential increase in data volume and complexity is necessitating powerful computing infrastructure to process and analyze data efficiently, further boosting the demand for AI servers. The proliferation of AI applications across diverse industries, including healthcare, finance, and automotive, is also accelerating the need for dedicated AI infrastructure.
Various industry players are focusing on launching new innovative solutions to meet the high server demand. To cite an instance, in August 2023, Lenovo Group Ltd. introduced two new AI servers designed specifically for training large language models to respond to the surge in adoption of servers in China. The growing investments in R&D activities by both public and private sectors to enhance AI capabilities will increase the appeal of AI servers. The emergence of cloud-based AI services and edge computing will also provide scalable and accessible AI server solutions to organizations of all sizes.
The AI server market is segregated into server, hardware, end-user, and region.
Based on server, the industry value from the AI inference segment is estimated to rise at notable rate between 2024 and 2032. This is due to the increasing demand for real-time AI inference capabilities in applications like image recognition, natural language processing, and autonomous vehicles. The proliferation of edge computing and IoT devices is necessitating efficient and low-latency AI inference solutions, subsequently driving the adoption of specialized servers optimized for inference tasks.
AI server market share from the BFSI end-user segment will record significant CAGR from 2024 to 2032. This is owing to the increasing adoption of AI-driven solutions for fraud detection, risk assessment, and customer service optimization. Stringent regulatory requirements and the growing need for enhanced data security are attracting investments in AI infrastructure. The rising competition among financial institutions to deliver personalized services will also accelerate the demand for AI servers in the BFSI sector.
Regionally, the Europe AI server industry size will depict robust revenue growth between 2024 and 2032, on account of the increasing R&D investments in AI initiatives led by governments and private enterprises. The rapid adoption of AI technologies across various industries, including automotive, healthcare, and manufacturing is boosting the demand for high-performance computing infrastructure. Growing focus on data privacy and security regulations is also encouraging organizations to deploy AI servers locally in the region.
Table of Contents
220 Pages
- Chapter 1 Methodology & Scope
- 1.1 Market scope & definitions
- 1.2 Base estimates & calculations
- 1.3 Forecast calculations
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
- Chapter 2 Executive Summary
- 2.1 Industry 360 degree synopsis, 2018-2032
- Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Supplier landscape
- 3.2.1 Hardware providers
- 3.2.2 Technology providers
- 3.2.3 Service providers
- 3.2.4 System integrators
- 3.2.5 End-users
- 3.3 Profit margin analysis
- 3.4 Technology & innovation landscape
- 3.5 Patent analysis
- 3.6 Cost structure analysis
- 3.7 Key news & initiatives
- 3.8 Regulatory landscape
- 3.9 Impact forces
- 3.9.1 Growth drivers
- 3.9.1.1 Increasing demand for AI applications
- 3.9.1.2 Continuous advancements in AI-specific hardware
- 3.9.1.3 Growing investments by governments, enterprises, and research institutions in AI research and development initiatives
- 3.9.1.4 The increasing adoption of cloud-based AI services
- 3.9.2 Industry pitfalls & challenges
- 3.9.2.1 Cost of high-performance hardware
- 3.9.2.2 Energy consumption and efficiency
- 3.10 Growth potential analysis
- 3.11 Porter's analysis
- 3.11.1 Supplier power
- 3.11.2 Buyer power
- 3.11.3 Threat of new entrants
- 3.11.4 Threat of substitutes
- 3.11.5 Industry rivalry
- 3.12 PESTEL analysis
- Chapter 4 Competitive Landscape, 2023
- 4.1 Introduction
- 4.2 Company market share analysis
- 4.3 Competitive positioning matrix
- 4.4 Strategic outlook matrix
- Chapter 5 Market Estimates & Forecast, By Servers, 2018-2032 ($Bn, Units)
- 5.1 Key trends
- 5.2 AI data
- 5.3 AI training
- 5.4 AI inference
- 5.5 Others
- Chapter 6 Market Estimates & Forecast, By Hardware, 2018-2032 ($Bn, Units)
- 6.1 Key trends
- 6.2 GPU
- 6.3 ASIC
- 6.4 FPGA
- 6.5 Others
- Chapter 7 Market Estimates & Forecast, By End User, 2018-2032 ($Bn, Units)
- 7.1 Key trends
- 7.2 IT & Telecommunication
- 7.3 Transportation and automotive
- 7.4 BFSI
- 7.5 Retail and ecommerce
- 7.6 Healthcare and pharmaceutical
- 7.7 Industrial automation
- 7.8 Others
- Chapter 8 Market Estimates & Forecast, By Region, 2018-2032 ($Bn, Units)
- 8.1 Key trends
- 8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Russia
- 8.3.7 Nordics
- 8.3.8 Rest of Europe
- 8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 Australia
- 8.4.6 Singapore
- 8.4.7 Rest of Asia Pacific
- 8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
- 8.6 MEA
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Rest of MEA
- Chapter 9 Company Profiles
- 9.1 ADLINK Technology Inc.
- 9.2 AIME
- 9.3 Dataknox Solutions, Inc.
- 9.4 Dell Technologies Inc.
- 9.5 Dihuni
- 9.6 Fujitsu Limited
- 9.7 GIGA-BYTE Technology Co., Ltd.
- 9.8 Global Unichip Corporation
- 9.9 Hewlett Packard Enterprise
- 9.10 Huawei Technologies Co., Ltd.
- 9.11 IBM Corporation
- 9.12 Intel Corp.
- 9.13 Inspur Systems
- 9.14 Lambda Labs
- 9.15 Lenovo Group Limited
- 9.16 Nvidia Corporation
- 9.17 PhoenixNAP
- 9.18 PSSC Lab
- 9.19 Super Micro Computer, Inc.
- 9.20 ZTE Corporation
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