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Artificial Intelligence Infrastructure Trends and Forecast
The future of the global artificial intelligence infrastructure market looks promising with opportunities in the enterprise, government organization, and cloud service provider markets. The global artificial intelligence infrastructure market is expected to reach an estimated $123.9 billion by 2030 with a CAGR of 23.8% from 2024 to 2030. The major drivers for this market are increasing amount of data traffic, rising utilization of cloud-based machine learning platforms, and growing preference for connected smart devices.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Artificial Intelligence Infrastructure by Segment
The study includes a forecast for the global artificial intelligence infrastructure by offering, technology, deployment type, end use industry, and region.
Artificial Intelligence Infrastructure Market by Offering [Shipment Analysis by Value from 2018 to 2030]:
• Hardware
• Software
Artificial Intelligence Infrastructure Market by Technology [Shipment Analysis by Value from 2018 to 2030]:
• Machine Learning
• Deep Learning
Artificial Intelligence Infrastructure Market by Deployment Type [Shipment Analysis by Value from 2018 to 2030]:
• On-Premises
• Cloud
• Hybrid
Artificial Intelligence Infrastructure Market by End Use Industry [Shipment Analysis by Value from 2018 to 2030]:
• Enterprises
• Government Organizations
• Cloud Service Providers
Artificial Intelligence Infrastructure Market by Region [Shipment Analysis by Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Artificial Intelligence Infrastructure 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 artificial intelligence infrastructure companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the artificial intelligence infrastructure companies profiled in this report include-
• NVIDIA
• Intel
• Oracle
• Samsung Electronics
• Micron Technology
• Advanced Micro Devices
• IBM
• Google
• Microsoft
• Amazon Web Services
Artificial Intelligence Infrastructure Market Insights
Lucintel forecasts that hardware is expected to witness higher growth over the forecast period due to its significant use in various applications such as biometrics, robotic process automation, and machine learning.
Cloud service provider will remain the largest segment due to growing demand among organizations for these providers to offer advanced and affordable AI technology outsourcing.
APAC is expected to witness highest growth over the forecast period due to rapid digitalization, availability of robust AI infrastructure, and continuous expansion of 5G network and data centers in the region.
Features of the Global Artificial Intelligence Infrastructure Market
Market Size Estimates: Artificial intelligence infrastructure 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: Artificial intelligence infrastructure market by various segments, such as by offering, technology, deployment type, end use industry and region in terms of($B).
Regional Analysis: Artificial intelligence infrastructure market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different offerings, technologies, deployment types, end use industries, and regions for the artificial intelligence infrastructure market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the artificial intelligence infrastructure market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q.1 What is the artificial intelligence infrastructure market size?
Answer: The global artificial intelligence infrastructure market is expected to reach an estimated $123.9 billion by 2030.
Q.2 What is the growth forecast for artificial intelligence infrastructure market?
Answer: The global artificial intelligence infrastructure market is expected to grow with a CAGR of 23.8% from 2024 to 2030.
Q.3 What are the major drivers influencing the growth of the artificial intelligence infrastructure market?
Answer: The major drivers for this market are increasing amount of data traffic, rising utilization of cloud-based machine learning platforms, and growing preference for connected smart devices.
Q4. What are the major segments for artificial intelligence infrastructure market?
Answer: The future of the artificial intelligence infrastructure market looks promising with opportunities in the enterprise, government organization, and cloud service provider markets.
Q5. Who are the key artificial intelligence infrastructure market companies?
Answer: Some of the key artificial intelligence infrastructure companies are as follows:
• NVIDIA
• Intel
• Oracle
• Samsung Electronics
• Micron Technology
• Advanced Micro Devices
• IBM
• Google
• Microsoft
• Amazon Web Services
Q6. Which artificial intelligence infrastructure market segment will be the largest in future?
Answer: Lucintel forecasts that hardware is expected to witness higher growth over the forecast period due to its significant use in various applications such as biometrics, robotic process automation, and machine learning.
Q7. In artificial intelligence infrastructure market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness highest growth over the forecast period due to rapid digitalization, availability of robust AI infrastructure, and continuous expansion of 5G network and data centers in the region.
Q.8 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 artificial intelligence infrastructure market by offering (hardware and software), technology (machine learning and deep learning), deployment type (on-premises, cloud, and hybrid), end use industry (enterprises, government organizations, and cloud service providers), 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 Artificial Intelligence Infrastructure Market, Artificial Intelligence Infrastructure Market Size, Artificial Intelligence Infrastructure Market Growth, Artificial Intelligence Infrastructure Market Analysis, Artificial Intelligence Infrastructure Market Report, Artificial Intelligence Infrastructure Market Share, Artificial Intelligence Infrastructure Market Trends, Artificial Intelligence Infrastructure Market Forecast, Artificial Intelligence Infrastructure Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents
1. Executive Summary
2. Global Artificial Intelligence Infrastructure Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global Artificial Intelligence Infrastructure Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global Artificial Intelligence Infrastructure Market by Offering
3.3.1: Hardware
3.3.2: Software
3.4: Global Artificial Intelligence Infrastructure Market by Technology
3.4.1: Machine Learning
3.4.2: Deep Learning
3.5: Global Artificial Intelligence Infrastructure Market by Deployment Type
3.5.1: On-Premises
3.5.2: Cloud
3.5.3: Hybrid
3.6: Global Artificial Intelligence Infrastructure Market by End Use Industry
3.6.1: Enterprises
3.6.2: Government Organizations
3.6.3: Cloud Service Providers
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global Artificial Intelligence Infrastructure Market by Region
4.2: North American Artificial Intelligence Infrastructure Market
4.2.2: North American Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
4.3: European Artificial Intelligence Infrastructure Market
4.3.1: European Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
4.3.2: European Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
4.4: APAC Artificial Intelligence Infrastructure Market
4.4.1: APAC Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
4.4.2: APAC Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
4.5: ROW Artificial Intelligence Infrastructure Market
4.5.1: ROW Artificial Intelligence Infrastructure Market by Offering: Hardware and Software
4.5.2: ROW Artificial Intelligence Infrastructure Market by End Use Industry: Enterprises, Government Organizations, and Cloud Service Providers
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Offering
6.1.2: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Technology
6.1.3: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Deployment Type
6.1.4: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by End Use Industry
6.1.5: Growth Opportunities for the Global Artificial Intelligence Infrastructure Market by Region
6.2: Emerging Trends in the Global Artificial Intelligence Infrastructure Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Artificial Intelligence Infrastructure Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Artificial Intelligence Infrastructure Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: NVIDIA
7.2: Intel
7.3: Oracle
7.4: Samsung Electronics
7.5: Micron Technology
7.6: Advanced Micro Devices
7.7: IBM
7.8: Google
7.9: Microsoft
7.10: Amazon Web Services
.
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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
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