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Artificial Intelligence (AI) Infrastructure - Global Strategic Business Report

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    Report

  • 774 Pages
  • April 2024
  • Region: Global
  • Global Industry Analysts, Inc
  • ID: 5302417

Global Artificial Intelligence (AI) Infrastructure Market to Reach $151 Billion by 2030

The global market for Artificial Intelligence (AI) Infrastructure estimated at US$26.7 Billion in the year 2022, is projected to reach a revised size of US$151 Billion by 2030, growing at a CAGR of 24.2% over the analysis period 2022-2030. Hardware, one of the segments analyzed in the report, is projected to record a 21.9% CAGR and reach US$68.6 Billion by the end of the analysis period. Growth in the Software segment is estimated at 25% CAGR for the next 8-year period.

The U.S. Market is Estimated at $9 Billion, While China is Forecast to Grow at 30.9% CAGR

The Artificial Intelligence (AI) Infrastructure market in the U.S. is estimated at US$9 Billion in the year 2022. China, the world's second largest economy, is forecast to reach a projected market size of US$34.2 Billion by the year 2030 trailing a CAGR of 30.9% over the analysis period 2022 to 2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 17.9% and 19.6% respectively over the 2022-2030 period. Within Europe, Germany is forecast to grow at approximately 20.8% CAGR.

Select Competitors (Total 152 Featured) -

  • Advanced Micro Devices, Inc.
  • Amazon Web Services Inc.
  • Arm Limited
  • Cisco Systems Inc.
  • Dell Inc.
  • Google LLC
  • Hewlett Packard Enterprise Company
  • IBM Corporation
  • Intel Corporation
  • Micron Technology Inc.
  • Microsoft Corporation
  • NEC Laboratories Europe GmbH
  • NVIDIA Corporation
  • Oracle Corporation
  • Synopsys Inc.
  • Toshiba Corporation
  • Xilinx Inc.

What`s New?

  • Special discussions on the global economic climate and market sentiment
  • Coverage on global competitiveness and key competitor percentage market shares
  • Market presence analysis across multiple geographies - Strong/Active/Niche/Trivial
  • Online interactive peer-to-peer collaborative bespoke updates
  • Access to digital archives and research platform
  • Complimentary updates for one year
  • Access to curated YouTube video transcripts of market sentiments shared by CEOs, domain experts and market influencers via interviews, podcasts, press statements and event keynotes

Economic Outlook

The global economic outlook is improving, and growth recovery, albeit on the lower side, is expected for this year and the next. The United States although witnessing slowing GDP growth in response to tight monetary and financial conditions, has nevertheless overcome the recession threat. Easing of headline inflation in Euro area is helping boost real incomes and is contributing to pick-up in economic activity. China is expected to see strong increases in GDP in the coming year as the pandemic threat recedes and the government sheds its zero-COVID policy. With optimistic GDP projections, India remains on-course to emerge into a US trillion economy by 2030, surpassing Japan and Germany.

The upturn, however, remains fragile and a number of interlocking challenges continue to run in parallel, such as continued uncertainty around the war in Ukraine; slower than expected decline in global headline inflation; continuation of food and fuel inflation as a persistent economic problem for most developing countries; and still high retail inflation and its impact on consumer confidence and spending. Countries and their governments are showing signs of weathering these challenges, which helps lift market sentiments. As governments continue to combat inflation to get it down to more economically conformable levels by raising interest rates, new job creation will slowdown and impact economic activity. Stricter regulatory environment and pressure to mainstream climate change into economic decisions will compound the complexity of challenges faced.

Although corporate investments can likely be held back by inflation worries and weaker demand, rise of new technologies will reverse partially this prevailing investment sentiment. Rise of generative AI; applied AI; industrializing machine learning; next-generation software development; Web3; cloud and edge computing; quantum technologies; electrification and renewables and climate technologies beyond electrification and renewables, will open up the global investment landscape. The technologies hold the potential to drive sizeable incremental growth and value to global GDP in the coming years. The short-term is expected to be a mixed bag of challenges and opportunities for both consumers and investors alike. There is always opportunity for businesses and their leaders who can chart a path forward with resilience and adaptability.

Table of Contents

I. METHODOLOGYII. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
  • From Pandemic to War & Inflation: “Gloomy Outlook for 2023 Despite Signs of Easing Inflationary Conditions”
  • Here’s How Inflationary Pressures Affect the Economy
  • Russia-Ukraine War, the Primary Culprit Responsible for the Hardships
  • Although Past Peak in 2023, Efforts to Solve the Inflation Puzzle Should Continue
  • Here’s What’s Causing Inflationary Pressures in the Global Market
  • Exhibit 1: Shaken by the War, Global Oil Prices Spiral and Feed Inflationary Pressures, Guiding the World Towards a Cost of Living Crisis: Global Average Annual Brent Crude Oil Price (In US$ Per Barrel) for Years 2017 through 2024
  • Exhibit 2: Slower Than Anticipated Decline Makes Inflation a Stickier Than Expected Problem to Solve in 2023: Global Inflation Rates (In %) for the Years 2019 Through 2024
  • Exhibit 3: Global Economy Faces a Tough Climb Towards Recovery Made Rockier by the War, Anti-Inflation Fiscal Policies & Slower Than Desirable Easing of Inflationary Pressures: World Economic Growth Projections (Real GDP, Annual % Change) for the Years 2020 Through 2024
  • Exhibit 4: Recession Triggered by Uncontrolled Inflation or Unemployment, Which is the Greater Evil? Inflation Battling Policy Measures to Slowdown Post Pandemic Recovery in Unemployment Rates: Global Number of Unemployed People (In Million) for Years 2019 Through 2024
  • COVID-19 Pandemic Tips the Scale in Favor of AI Infrastructure Market
  • Competitive Scenario
  • Select Innovations and Advancements
  • Exhibit 5: Artificial Intelligence (AI) Infrastructure - Global Key Competitors Percentage Market Share in 2023 (E)
  • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2023 (E)
  • Artificial Intelligence (AI): An Introduction
  • Technologies Enabling AI
  • Interconnection is Crucial to Develop AI Successfully
  • Artificial Intelligence Continues to be on an Upward Trend
  • Exhibit 6: Global Market for Artificial Intelligence (AI) (In US$ Billion) for Years 2023, 2025 & 2027
  • Enormous Challenges for Artificial Intelligence
  • Major Challenges in AI Deployment
  • A Prelude to Artificial Intelligence (AI) Infrastructure
  • Considerations and Steps Involved in Building and Designing AI Stack
  • Challenges and the Future
  • Artificial Intelligence (AI) Infrastructure of the Future Trending Towards Becoming More Modular
  • Steep Rise of AI Carves Pathway to Grand Success for Global AI Infrastructure Market: Prospects & Outlook
  • Dynamic Factors Bringing Excitement for Global AI Infrastructure Market: Drivers, Restraints, Opportunities, and Challenges
  • Parallel Computing in AI Datacenters
  • Rising Uptake of AI Systems, Hardware & Software
  • Better Access to Cloud Applications
  • Focus on Customer Satisfaction & Cloud Applications
  • Rising Popularity of FPGAs
  • Shortage of Skilled Professionals & AI Hardware Experts
  • Increasing Requirement of Co-Processors
  • Industry-AL/ML Provider Partnerships
  • Data Privacy Issues & Lack of Quality Data
  • Analysis by Component
  • Exhibit 7: World Intelligence (AI) Infrastructure Market by Component (2023 & 2030): Percentage Breakdown of Revenues for Hardware, Software, and Services
  • Analysis by Technology
  • Exhibit 8: World Intelligence (AI) Infrastructure Market by Technology (2023 & 2030): Percentage Breakdown of Revenues for Machine Learning, and Deep Learning
  • Analysis by Deployment
  • Exhibit 9: World Intelligence (AI) Infrastructure Market by Deployment (2023 & 2030): Percentage Breakdown of Revenues for Cloud, Hybrid and On-Premise
  • Cloud Unleashing Advanced Machine Learning Capabilities
  • Regional Analysis
  • Exhibit 10: World Intelligence (AI) Infrastructure Market by Region (2023 & 2030): Percentage Breakdown of Revenues for Developed and Developing Regions
  • Exhibit 11: World Artificial Intelligence (AI) Infrastructure Market - Geographic Regions Ranked by CAGR (Revenues) for 2022-2030: China, Asia-Pacific, Latin America, Rest of World, USA, Europe, Canada, and Japan
  • Recent Market Activity
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
  • Accelerating Pace of Digital Transformation to Benefit Demand for AI
  • Exhibit 12: Digital Transformation by Industry: 2022E
  • Exhibit 13: Industry Adoption of Artificial Intelligence (AI) by Function: 2020
  • Accelerating AI Growth Backed by Future Secure Digital Infrastructure
  • Industrial IoT, Robotics and Big Data to Stimulate AI Implementations
  • Exhibit 14: Global Investments on Industry 4.0 Technologies (in US$ Billion) for the Years 2017, 2020, & 2023
  • Demand for Artificial Intelligence, Machine Learning, and Deep Learning Gains Momentum
  • AI Infrastructure: Steering the Next Wave of Growth
  • Purpose-Built AI Infrastructure Gaining Importance in Modern Enterprises
  • AI / ML Offers Significant ROI Possibilities for Enterprises
  • AI-ready Infrastructure Utilization Help Accelerating the Journey
  • Can AI Be Trusted for Implementation in Critical Infrastructures?
  • How AI is Shaping Blueprint of Future for Infrastructure Planning?
  • IT Infrastructure Management Realm Emerges as Next Destination for AI Technologies
  • Impact of AI on IT Infrastructure
  • AI’s Power & Cooling Needs: A Double Pinch for Existing Infrastructure, Leading to Rise of AI-as-a-Service
  • Game-Changing AI Innovations Shifting Boundaries of IT Infrastructure Management
  • AI Infrastructure Set to Leap Forward with Captivating Innovations
  • Increasing Adoption of AI Technology to Boost AI Chipsets Market
  • Use of Graphic Processing Units (GPUs) Witnesses a Robust Increase
  • AI as a Service Market: Obviating the Need to Make Huge Initial Investments
  • Growing Adoption of AI Due to Pandemic to Drive Long Term Growth
  • Barriers Restraining AI Adoption in Healthcare Sector
  • Increasing investments and R&D in AI Start-Ups to Jack up Market Demand
  • Exhibit 15: Number of AI Startups with $1 Billion Valuations for the Years 2014-2020
  • Exhibit 16: AI Cumulative Funding (in US$ Billion) by Category (As of 2020)
  • AI Applications and Major Startups
  • Industry Collaboration with AI & ML Solutions to Optimize Digital Transformation Strategies
  • Growth Linked to Growing Focus on Parallel Computing in AI Data Centers
  • Exhibit 17: Global Market for Modular Data Centers (In US$ Million) for Years 2023, 2025 and 2027
  • Machine Learning and AI-Assisted Platforms Personalize Customer Experiences in Marketing Applications
  • Exhibit 18: Ranking of Business Outcomes Realized through AI Application in Marketing
  • New and Improved Concepts in ML and AI take Stage
  • Low-Cost, High-Performance Machine Learning Infrastructure Continues Speeding Up Innovations in the Cloud
  • Rapid Shifting to Cloud-based Infrastructure is Vital to Leverage Full Potential of Machine Learning
  • The Ways by Which AWS Assists Its Customers in Their Rapid AI/ML Transformation
  • Deep Learning and Digital Assistant Technologies Present Significant Growth Potential
  • Deep Learning & ML-Based Tools Fuel Self-Service Automation
  • Major Challenges Confronting Artificial Intelligence
  • Key Challenges Associated With AI Implementation
  • AI Infrastructure: Challenges and Opportunities
  • Increasing Use of Artificial Intelligence Leads to Regulation Concern in Enterprises
4. GLOBAL MARKET PERSPECTIVE
  • Table 1: World Artificial Intelligence (AI) Infrastructure Market Analysis of Annual Revenues in US$ Million for Years 2018 through 2030
  • Table 2: World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) Infrastructure by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 3: World Historic Review for Artificial Intelligence (AI) Infrastructure by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 4: World 12-Year Perspective for Artificial Intelligence (AI) Infrastructure by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets for Years 2018, 2023 & 2030
  • Table 5: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 6: World Historic Review for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 7: World 12-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 8: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 9: World Historic Review for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 10: World 12-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 11: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 12: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 13: World 12-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 14: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 15: World Historic Review for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 16: World 12-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 17: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 18: World Historic Review for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 19: World 12-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 20: World Recent Past, Current & Future Analysis for Hybrid by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 21: World Historic Review for Hybrid by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 22: World 12-Year Perspective for Hybrid by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 23: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 24: World Historic Review for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 25: World 12-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 26: World Recent Past, Current & Future Analysis for Deep Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 27: World Historic Review for Deep Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 28: World 12-Year Perspective for Deep Learning by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 29: World Recent Past, Current & Future Analysis for Inference by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 30: World Historic Review for Inference by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 31: World 12-Year Perspective for Inference by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
  • Table 32: World Recent Past, Current & Future Analysis for Training by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2022 through 2030 and % CAGR
  • Table 33: World Historic Review for Training by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2018 through 2021 and % CAGR
  • Table 34: World 12-Year Perspective for Training by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America and Rest of World for Years 2018, 2023 & 2030
III. MARKET ANALYSIS
UNITED STATES
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2023 (E)
  • Market Analytics
CANADA
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Canada for 2023 (E)
  • Market Analytics
JAPAN
CHINA
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2023 (E)
  • Market Analytics
EUROPE
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2023 (E)
  • Market Analytics
FRANCEGERMANYITALYUNITED KINGDOMSPAINRUSSIAREST OF EUROPE
ASIA-PACIFIC
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2023 (E)
  • Market Analytics
AUSTRALIAINDIASOUTH KOREAREST OF ASIA-PACIFICLATIN AMERICA
REST OF WORLD
  • Artificial Intelligence (AI) Infrastructure Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Rest of World for 2023 (E)
  • Market Analytics
IV. COMPETITION

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Advanced Micro Devices, Inc.
  • Amazon Web Services Inc.
  • Arm Limited
  • Cisco Systems Inc.
  • Dell Inc.
  • Google LLC
  • Hewlett Packard Enterprise Company
  • IBM Corporation
  • Intel Corporation
  • Micron Technology Inc.
  • Microsoft Corporation
  • NEC Laboratories Europe GmbH
  • NVIDIA Corporation
  • Oracle Corporation
  • Synopsys Inc.
  • Toshiba Corporation
  • Xilinx Inc.

Table Information