+1 463-583-2713AI Hardware Market By Type (Storage, Processor, Memory, Network), By IC Type (FPGA, CPU, GPU, ASIC), By Application (Driver Monitoring Systems, Surveillance & Security, Training & Simulation, Imaging & Diagnosis), By Technology (Machine Learning, Computer Vision), By Deployment Mode (Cloud, On-premise), By End-use Industry (IT & Telecom, BFSI, E-commerce, Healthcare), and by Region; Global Insights & Forecast (2024 – 2030)
As per Intent Market Research, the AI Hardware Market was valued at USD 54.3 billion in 2023-e and will surpass USD 186.9 billion by 2030; growing at a CAGR of 19.3% during 2024 - 2030.
The report focuses on estimating the current market potential in terms of the total addressable market for all the segments, sub-segments, and regions. In the process, all the high-growth and upcoming technologies were identified and analyzed to measure their impact on the current and future market. The report also identifies the key stakeholders, their business gaps, and their purchasing behavior. This information is essential for developing effective marketing strategies and creating products or services that meet the needs of the target market. The report also covers a detailed analysis of the competitive landscape which includes major players, their recent developments, growth strategies, product benchmarking, and manufacturing operations among others. Also, brief insights on start-up ecosystem and emerging companies is also included as part of this report.
Report Objectives:
The report will help you answer some of the most critical questions in the AI Hardware Market. A few of them are as follows:
- What are the key drivers, restraints, opportunities, and challenges influencing the market growth?
- What are the prevailing technology trends in the AI hardware market?
- What is the size of the AI hardware market based on segments, sub-segments, and regions?
- What is the size of different market segments across key regions: North America, Europe, Asia Pacific, Latin America, Middle East & Africa?
- What are the market opportunities for stakeholders after analyzing key market trends?
- Who are the leading market players and what are their market share and core competencies?
- What is the degree of competition in the market and what are the key growth strategies adopted by leading players?
- What is the competitive landscape of the market, including market share analysis, revenue analysis, and a ranking of key players?
Report Scope:
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Report Features |
Description |
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Market Size (2023-e) |
USD 54.3 billion |
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Forecasted Value (2030) |
USD 186.9 billion |
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CAGR (2024-2030) |
19.3% |
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Base Year for Estimation |
2023-e |
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Historic Year |
2022 |
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Forecast Period |
2024-2030 |
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Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
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Segments Covered |
AI Hardware Market By Type (Storage, Processor, Memory, Network), By IC Type (FPGA, CPU, GPU, ASIC), By Application (Driver Monitoring Systems, Surveillance & Security, Training & Simulation, Imaging & Diagnosis), By Technology (Machine Learning, Computer Vision), By Deployment Mode (Cloud, On-premise), By End-use Industry (IT & Telecom, BFSI, E-commerce, Healthcare) |
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Regional Analysis |
North America (US, Canada), Europe (Germany, France, UK, Spain, Italy & Rest of Europe), Asia Pacific (China, Japan, South Korea, India, and rest of Asia Pacific), Latin America (Brazil, Mexico, Argentina, & Rest of Latin America), Middle East & Africa (Saudi Arabia, South Africa, Turkey, United Arab Emirates, & Rest of MEA) |
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Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
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1.Introduction |
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1.1.Market Definition |
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1.2.Scope of the Study |
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1.3.Research Assumptions |
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1.4.Study Limitations |
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2.Research Methodology |
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2.1.Research Approach |
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2.1.1.Top-Down Method |
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2.1.2.Bottom-Up Method |
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2.1.3.Factor Impact Analysis |
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2.2.Insights & Data Collection Process |
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2.2.1.Secondary Research |
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2.2.2.Primary Research |
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2.3.Data Mining Process |
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2.3.1.Data Analysis |
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2.3.2.Data Validation and Revalidation |
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2.3.3.Data Triangulation |
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3.Executive Summary |
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3.1.Major Markets & Segments |
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3.2.Highest Growing Regions and Respective Countries |
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3.3.Impact of Growth Drivers & Inhibitors |
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3.4.Regulatory Overview by Country |
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4.AI Hardware Market, by Type (Market Size & Forecast: USD Billion, 2024 – 2030) |
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4.1.Processor |
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4.2.Memory |
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4.3.Network |
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4.4.Storage |
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5.AI Hardware Market, by IC Type (Market Size & Forecast: USD Billion, 2024 – 2030) |
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5.1.FPGA |
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5.2.GPU |
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5.3.ASIC |
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5.4.CPU |
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5.5.Others |
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6.AI Hardware Market, by Application (Market Size & Forecast: USD Billion, 2024 – 2030) |
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6.1.Disaster Management |
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6.2.Imaging & Diagnosis |
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6.3.Surveillance & Security |
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6.4.Driver Monitoring Systems |
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6.5.Visual Inspection |
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6.6.Training & Simulation |
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6.7.Robotic Surgery |
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7.AI Hardware Market, by Technology (Market Size & Forecast: USD Billion, 2024 – 2030) |
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7.1.Machine Learning |
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7.1.1.Deep Learning |
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7.1.2.Un-supervised Learning |
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7.1.3.Supervised Learning |
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7.2.Computer Vision |
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8.AI Hardware Market, by Deployment Mode (Market Size & Forecast: USD Billion, 2024 – 2030) |
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8.1.Cloud |
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8.2.On-premise |
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9.AI Hardware Market, by End-use Industry (Market Size & Forecast: USD Billion, 2024 – 2030) |
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9.1.IT & Telecom |
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9.2.Education |
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9.3.BFSI |
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9.4.Retail & E-commerce |
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9.5.Healthcare |
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9.6.Agriculture |
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9.7.Others |
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10.Regional Analysis (Market Size & Forecast: USD Billion, 2024 – 2030) |
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10.1.Regional Overview |
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10.2.North America |
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10.2.1.Regional Trends & Growth Drivers |
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10.2.2.Barriers & Challenges |
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10.2.3.Opportunities |
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10.2.4.Factor Impact Analysis |
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10.2.5.Technology Trends |
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10.2.6.North America AI Hardware Market, by Type |
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10.2.7.North America AI Hardware Market, by IC Type |
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10.2.9.North America AI Hardware Market, by Application |
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10.2.10.North America AI Hardware Market, by Technology |
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10.2.11.North America AI Hardware Market, by Deployment Mode |
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10.2.12.North America AI Hardware Market, by End-use Industry |
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*Similar segmentation will be provided at each regional level |
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10.3.By Country |
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10.3.1.US |
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10.3.1.1.US AI Hardware Market, by Type |
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10.3.1.2.US AI Hardware Market, by IC Type |
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10.3.1.3.US AI Hardware Market, by Application |
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10.3.1.4.US AI Hardware Market, by Technology |
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10.3.1.5.US AI Hardware Market, by Deployment Mode |
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10.3.1.6.US AI Hardware Market, by End-use Industry |
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10.3.2.Canada |
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*Similar segmentation will be provided at each country level |
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10.4.Europe |
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10.5.APAC |
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10.6.Latin America |
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10.7.Middle East & Africa |
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11.Competitive Landscape |
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11.1.Overview of the Key Players |
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11.2.Competitive Ecosystem |
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11.2.1.Platform Manufacturers |
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11.2.2.Subsystem Manufacturers |
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11.2.3.Service Providers |
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11.2.4.Software Providers |
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11.3.Company Share Analysis |
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11.4.Company Benchmarking Matrix |
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11.4.1.Strategic Overview |
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11.4.2.Product Innovations |
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11.5.Start-up Ecosystem |
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11.6.Strategic Competitive Insights/ Customer Imperatives |
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11.7.ESG Matrix/ Sustainability Matrix |
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11.8.Manufacturing Network |
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11.8.1.Locations |
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11.8.2.Supply Chain and Logistics |
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11.8.3.Product Flexibility/Customization |
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11.8.4.Digital Transformation and Connectivity |
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11.8.5.Environmental and Regulatory Compliance |
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11.11.Technology Readiness Level Matrix |
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11.10.Technology Maturity Curve |
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11.11.Buying Criteria |
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12.Company Profiles |
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12.1.NVIDIA |
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12.1.1.Company Overview |
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12.1.2.Company Financials |
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12.1.3.Product/Service Portfolio |
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12.1.4.Recent Developments |
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12.1.5.IMR Analysis |
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*Similar information will be provided for other companies |
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12.2.Intel |
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12.3.Microsoft |
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12.4.Google |
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12.5.IBM |
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12.6.AMD |
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12.7.Samsung |
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12.8.Huawei |
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12.9.Apple |
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12.10.Qualcomm |
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13.Appendix |
Let us connect with you TOC
A comprehensive market research approach was employed to gather and analyze data on the AI Hardware Market. In the process, the analysis was also done to estimate the parent market and relevant adjacencies to major the impact of them on the AI hardware Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary Research
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary Research
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the AI hardware ecosystem. The primary research objectives included:
- Validating findings and assumptions derived from secondary research
- Gathering qualitative and quantitative data on market trends, drivers, and challenges
- Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
- Assessing the supply-side landscape, including technological advancements and recent developments
Market Size Estimation
A combination of top-down and bottom-up approaches was utilized to estimate the overall size of the AI hardware market. These methods were also employed to estimate the size of various sub-segments within the market. The market size estimation methodology encompassed the following steps:
- Identification of key industry players and relevant revenues through extensive secondary research
- Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
- Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources
Data Triangulation
To ensure the accuracy and reliability of the market size estimates, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size estimates.
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