AI Infrastructure Market by Offering (Hardware, Services, Software), Deployment (On-Cloud, On-Premise), End-Users - Global Forecast 2023-2030

AI Infrastructure Market by Offering (Hardware, Services, Software), Deployment (On-Cloud, On-Premise), End-Users - Global Forecast 2023-2030
The AI Infrastructure Market is projected to reach USD 165.40 billion by 2030 from USD 29.71 billion in 2022, at a CAGR of 23.93% during the forecast period.

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the AI Infrastructure Market.Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across CPU & GPU, Memory & Storage, and Networking Equipment. The Services is further studied across Data Ingestion & Integration, Data Preprocessing & Feature Engineering, Data Storage & Management, Machine Learning Frameworks & Libraries, Model Deployment & Serving, Model Training & Validation, Monitoring & Maintenance, and Security & Compliance. The Hardware commanded largest market share of 44.65% in 2022, followed by Software.Based on Deployment, market is studied across On-Cloud and On-Premise. The On-Premise commanded largest market share of 74.16% in 2022, followed by On-Cloud.Based on End-Users, market is studied across Cloud Service Providers, Enterprises, and Government. The Enterprises commanded largest market share of 53.76% in 2022, followed by Cloud Service Providers.Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.77% in 2022, followed by Europe, Middle East & Africa.Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the AI Infrastructure Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape AI Infrastructure Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the AI Infrastructure Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices Inc., Amazon Web Services, Inc., Appinventiv Technology Pvt. Ltd., Cerebras Systems, Cisco Systems, Inc., DataRobot, Inc., Fortinet, Inc., G-Core Labs S.A., Google LLC by Alphabet Inc., Graphcore Limited, Groq, Inc., Hailo Technologies Ltd., Hewlett Packard Enterprise Development LP, Huawei Technologies Co., Ltd., Intel Corporation, International Business Machines Corporation, Lenovo Group Limited, Lightmatter, Inc., Meta Platforms, Inc., Micron Technology Inc., Microsoft Corporation, Mythic, Inc., NEC Corporation, Nutanix, Inc., NVIDIA Corporation, OpenAI OpCo, LLC, Oracle Corporation, Pure Storage, Inc., Salesforce, Inc., SambaNova Systems, Inc, Samsung Electronics Co., Ltd., SAP SE, SenseTime Group Inc., Siemens AG, Sony Group Corporation, Synopsys Inc., and Toshiba Corporation.

The report offers valuable insights on the following aspects:Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.The report addresses key questions such as:What is the market size and forecast for the AI Infrastructure Market?Which products, segments, applications, and areas hold the highest investment potential in the AI Infrastructure Market?What is the competitive strategic window for identifying opportunities in the AI Infrastructure Market?What are the latest technology trends and regulatory frameworks in the AI Infrastructure Market?What is the market share of the leading vendors in the AI Infrastructure Market?Which modes and strategic moves are suitable for entering the AI Infrastructure Market?

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