by Precedence Research a new report on artificial intelligence in hardware market size, share, growth, industry trends, and forecast 2030, covering various industry elements and growth trends helpful for predicting the market’s future. The global artificial intelligence in hardware market size was valued at US$ 10.41billion in 2021. The global artificial intelligence in hardware market is projected to reach US$ 89.22 billion by 2030, registering a compound annual growth rate (CAGR) of 26.96% during the forecast period from 2022 to 2030.
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The global artificial intelligence in hardware market report offers various segments analysis by size, trends, growth factors, opportunities and key country outlook to 2030. The report offers a detailed analysis and information as per artificial intelligence in hardware, market segments helping our readers to get a comprehensive overview of the global market. Several players are planning to focus on developing cost-effective products or services, aiming to maintain a strong foothold in the market.
Artificial Intelligence in Hardware Market Report Scope
| Report Coverage | Details |
| Market Size by 2030 | USD 89.22 Billion |
| Growth Rate from 2022 to 2030 | CAGR of 26.96% |
| North America Market Share in 2021 | 35% |
| Processor Segment Market Share in 2021 | 65% |
| Base Year | 2021 |
| Forecast Period | 2022 to 2030 |
| Segments Covered | Type, End User, Product, Application, Technology, Material, Devices, Deployment, Geography |
The company profiling of leading market players is included this report with Porter’s five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.
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Some of the prominent players in the artificial intelligence in hardware market include:
- Apple (US)
- Intel (US)
- NVIDIA (US)
- Qualcomm Technologies (US)
- Huawei Technologies (China)
- Samsung Electronics (South Korea)
- IBM (US)
- Micron Technology (US)
- Xilinx (US)
- Google (US)
- Microsoft (US)
- AMD (US)
Artificial Intelligence in Hardware Market Segmentation
By Type
- Processor
- Network
- Storage
By End User
- Telecommunication and IT industry
- banking and finance sectors
- Education
- Ecommerce
- Navigation
- Robotics
- Agriculture
- Health care
- Others
By Product Type
- CPU
- GPU
- ASIC
- FPGA
- Memory
- Storage
- Modules
By Application
- Training & Simulation
- Driver Monitoring Systems
- Surveillance & Security
- Imaging & Diagnosis
- Robotic Surgery
- Disaster Management
- Visual Inspection
- Others
By Technology
- Machine Learning
- Supervised Learning
- Un-supervised Learning
- Deep Learning
- Others
- Computer Vision
- Others
By Material
- Silicon
- GaN
- Glass
- Metal
- Others
By Devices
- Smartphones & Tablets
- Personal Computing Devices
- Autonomous Robots
- UAVs/UGVs
- HUD
- Others
By Deployment
- Cloud
- Cloud Platforms
- Private Cloud
- Public Cloud
- Hybrid Cloud
- Community Cloud
- Cloud Services
- SaaS
- IaaS
- PaaS
- Others
- Cloud Platforms
- On-premise
Regional Segmentation
- Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
- Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
- North America [United States, Canada, Mexico]
- South America [Brazil, Argentina, Columbia, Chile, Peru]
- Middle East & Africa [GCC, North Africa, South Africa]
Key Questions are
- What are the key factors influencing the artificial intelligence in hardware market in each region?
- How much value will the global market generate by the end of the forecast period?
- What will be the CAGR of the global market between 2022 and 2030?
- What would be the Y-o-Y growth trend of the global market between 2022 and 2030?
- What is the future scope and current trends in technologies of the global market?
- What is the revenue of the global market based on segments?
- Which key strategies are used by top players of the global market?
- Which are the leading companies in the global market?
- What are the essential strategies by key stakeholders in the market to expand their geographic presence?
- What are the major advancements witnessed in the global market?
Research Objectives and Research Approach
The comprehensive report on the global artificial intelligence in hardware market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in hardware market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
The report analyzes the global artificial intelligence in hardware market in terms of type, application, region and others. Key segments under each criteria are studied at length, and the market share for each of these at the end of 2030 has also been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global market.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in hardware market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in hardware are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Table of Contents
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence (AI) in Hardware Market, By Type
7.1. Artificial Intelligence (AI) in Hardware Market, by Type, 2022-2030
7.1.1. Processor
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Network
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. Storage
7.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Artificial Intelligence (AI) in Hardware Market, By End User
8.1. Artificial Intelligence (AI) in Hardware Market, by End User, 2022-2030
8.1.1. Telecommunication and IT industry
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Banking and finance sectors
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Education
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Ecommerce
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Others
8.1.5.1. Market Revenue and Forecast (2017-2030)
8.1.6. Navigation
8.1.6.1. Market Revenue and Forecast (2017-2030)
8.1.7. Robotics
8.1.7.1. Market Revenue and Forecast (2017-2030)
8.1.8. Agriculture
8.1.8.1. Market Revenue and Forecast (2017-2030)
8.1.9. Health care
8.1.9.1. Market Revenue and Forecast (2017-2030)
8.1.10. Others
8.1.10.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence (AI) in Hardware Market, By Product
9.1. Artificial Intelligence (AI) in Hardware Market, by Product, 2022-2030
9.1.1. CPU
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. GPU
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. ASIC
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. FPGA
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Memory
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Storage
9.1.6.1. Market Revenue and Forecast (2017-2030)
9.1.7. Modules
9.1.7.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence (AI) in Hardware Market, By Application
10.1. Artificial Intelligence (AI) in Hardware Market, by Application, 2022-2030
10.1.1. Training & Simulation
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Driver Monitoring Systems
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Surveillance & Security
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Imaging & Diagnosis
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Others
10.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence (AI) in Hardware Market, By Technology
11.1. Artificial Intelligence (AI) in Hardware Market, by Technology, 2022-2030
11.1.1. Machine Learning
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Computer Vision
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.5. Others
11.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence (AI) in Hardware Market, By Material
12.1. Artificial Intelligence (AI) in Hardware Market, by Material, 2022-2030
12.1.1. Silicon
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. GaN
12.1.2.1. Market Revenue and Forecast (2017-2030)
12.1.3. Glass
12.1.3.1. Market Revenue and Forecast (2017-2030)
12.1.4. Metal
12.1.4.1. Market Revenue and Forecast (2017-2030)
12.1.5. Others
12.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Artificial Intelligence (AI) in Hardware Market, By Devices
13.1. Artificial Intelligence (AI) in Hardware Market, by Devices, 2022-2030
13.1.1. Smartphones & Tablets
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Personal Computing Devices
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. Autonomous Robots
13.1.3.1. Market Revenue and Forecast (2017-2030)
13.1.4. UAVs/UGVs
13.1.4.1. Market Revenue and Forecast (2017-2030)
13.1.5. Others
13.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Artificial Intelligence (AI) in Hardware Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.2. Market Revenue and Forecast, by End User (2017-2030)
14.1.3. Market Revenue and Forecast, by Product (2017-2030)
14.1.4. Market Revenue and Forecast, by Application (2017-2030)
14.1.5. Market Revenue and Forecast, by Technology (2017-2030)
14.1.6. Market Revenue and Forecast, by Devices (2017-2030)
14.1.7. Market Revenue and Forecast, by Material (2017-2030)
14.1.8. U.S.
14.1.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.8.2. Market Revenue and Forecast, by End User (2017-2030)
14.1.8.3. Market Revenue and Forecast, by Product (2017-2030)
14.1.8.4. Market Revenue and Forecast, by Application (2017-2030)
14.1.8.5. Market Revenue and Forecast, by Technology (2017-2030)
14.1.8.6. Market Revenue and Forecast, by Devices (2017-2030)
14.1.8.7. Market Revenue and Forecast, by Material (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.9.2. Market Revenue and Forecast, by End User (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Product (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Application (2017-2030)
14.1.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.1.9.6. Market Revenue and Forecast, by Devices (2017-2030)
14.1.9.7. Market Revenue and Forecast, by Material (2017-2030)
14.2. Europe
14.2.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.2. Market Revenue and Forecast, by End User (2017-2030)
14.2.3. Market Revenue and Forecast, by Product (2017-2030)
14.2.4. Market Revenue and Forecast, by Application (2017-2030)
14.2.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.6. Market Revenue and Forecast, by Devices (2017-2030)
14.2.7. Market Revenue and Forecast, by Material (2017-2030)
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.8.2. Market Revenue and Forecast, by End User (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Product (2017-2030)
14.2.8.4. Market Revenue and Forecast, by Application (2017-2030)
14.2.8.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.8.6. Market Revenue and Forecast, by Devices (2017-2030)
14.2.8.7. Market Revenue and Forecast, by Material (2017-2030)
14.2.9. Germany
14.2.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.9.2. Market Revenue and Forecast, by End User (2017-2030)
14.2.9.3. Market Revenue and Forecast, by Product (2017-2030)
14.2.9.4. Market Revenue and Forecast, by Application (2017-2030)
14.2.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.9.6. Market Revenue and Forecast, by Devices (2017-2030)
14.2.9.7. Market Revenue and Forecast, by Material (2017-2030)
14.2.10. France
14.2.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.10.2. Market Revenue and Forecast, by End User (2017-2030)
14.2.10.3. Market Revenue and Forecast, by Product (2017-2030)
14.2.10.4. Market Revenue and Forecast, by Application (2017-2030)
14.2.10.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.10.6. Market Revenue and Forecast, by Devices (2017-2030)
14.2.10.7. Market Revenue and Forecast, by Material (2017-2030)
14.2.11. Rest of Europe
14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.11.2. Market Revenue and Forecast, by End User (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Product (2017-2030)
14.2.11.4. Market Revenue and Forecast, by Application (2017-2030)
14.2.11.5. Market Revenue and Forecast, by Technology (2017-2030)
14.2.11.6. Market Revenue and Forecast, by Devices (2017-2030)
14.2.11.7. Market Revenue and Forecast, by Material (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.2. Market Revenue and Forecast, by End User (2017-2030)
14.3.3. Market Revenue and Forecast, by Product (2017-2030)
14.3.4. Market Revenue and Forecast, by Application (2017-2030)
14.3.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.6. Market Revenue and Forecast, by Devices (2017-2030)
14.3.7. Market Revenue and Forecast, by Material (2017-2030)
14.3.8. India
14.3.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.8.2. Market Revenue and Forecast, by End User (2017-2030)
14.3.8.3. Market Revenue and Forecast, by Product (2017-2030)
14.3.8.4. Market Revenue and Forecast, by Application (2017-2030)
14.3.8.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.8.6. Market Revenue and Forecast, by Devices (2017-2030)
14.3.8.7. Market Revenue and Forecast, by Material (2017-2030)
14.3.9. China
14.3.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.9.2. Market Revenue and Forecast, by End User (2017-2030)
14.3.9.3. Market Revenue and Forecast, by Product (2017-2030)
14.3.9.4. Market Revenue and Forecast, by Application (2017-2030)
14.3.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.9.6. Market Revenue and Forecast, by Devices (2017-2030)
14.3.9.7. Market Revenue and Forecast, by Material (2017-2030)
14.3.10. Japan
14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.10.2. Market Revenue and Forecast, by End User (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Product (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Application (2017-2030)
14.3.10.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.10.6. Market Revenue and Forecast, by Devices (2017-2030)
14.3.10.7. Market Revenue and Forecast, by Material (2017-2030)
14.3.11. Rest of APAC
14.3.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.11.2. Market Revenue and Forecast, by End User (2017-2030)
14.3.11.3. Market Revenue and Forecast, by Product (2017-2030)
14.3.11.4. Market Revenue and Forecast, by Application (2017-2030)
14.3.11.5. Market Revenue and Forecast, by Technology (2017-2030)
14.3.11.6. Market Revenue and Forecast, by Devices (2017-2030)
14.3.11.7. Market Revenue and Forecast, by Material (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.2. Market Revenue and Forecast, by End User (2017-2030)
14.4.3. Market Revenue and Forecast, by Product (2017-2030)
14.4.4. Market Revenue and Forecast, by Application (2017-2030)
14.4.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.6. Market Revenue and Forecast, by Devices (2017-2030)
14.4.7. Market Revenue and Forecast, by Material (2017-2030)
14.4.8. GCC
14.4.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.8.2. Market Revenue and Forecast, by End User (2017-2030)
14.4.8.3. Market Revenue and Forecast, by Product (2017-2030)
14.4.8.4. Market Revenue and Forecast, by Application (2017-2030)
14.4.8.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.8.6. Market Revenue and Forecast, by Devices (2017-2030)
14.4.8.7. Market Revenue and Forecast, by Material (2017-2030)
14.4.9. North Africa
14.4.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.9.2. Market Revenue and Forecast, by End User (2017-2030)
14.4.9.3. Market Revenue and Forecast, by Product (2017-2030)
14.4.9.4. Market Revenue and Forecast, by Application (2017-2030)
14.4.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.9.6. Market Revenue and Forecast, by Devices (2017-2030)
14.4.9.7. Market Revenue and Forecast, by Material (2017-2030)
14.4.10. South Africa
14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.10.2. Market Revenue and Forecast, by End User (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Product (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Application (2017-2030)
14.4.10.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.10.6. Market Revenue and Forecast, by Devices (2017-2030)
14.4.10.7. Market Revenue and Forecast, by Material (2017-2030)
14.4.11. Rest of MEA
14.4.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.11.2. Market Revenue and Forecast, by End User (2017-2030)
14.4.11.3. Market Revenue and Forecast, by Product (2017-2030)
14.4.11.4. Market Revenue and Forecast, by Application (2017-2030)
14.4.11.5. Market Revenue and Forecast, by Technology (2017-2030)
14.4.11.6. Market Revenue and Forecast, by Devices (2017-2030)
14.4.11.7. Market Revenue and Forecast, by Material (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.2. Market Revenue and Forecast, by End User (2017-2030)
14.5.3. Market Revenue and Forecast, by Product (2017-2030)
14.5.4. Market Revenue and Forecast, by Application (2017-2030)
14.5.5. Market Revenue and Forecast, by Technology (2017-2030)
14.5.6. Market Revenue and Forecast, by Devices (2017-2030)
14.5.7. Market Revenue and Forecast, by Material (2017-2030)
14.5.8. Brazil
14.5.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.8.2. Market Revenue and Forecast, by End User (2017-2030)
14.5.8.3. Market Revenue and Forecast, by Product (2017-2030)
14.5.8.4. Market Revenue and Forecast, by Application (2017-2030)
14.5.8.5. Market Revenue and Forecast, by Technology (2017-2030)
14.5.8.6. Market Revenue and Forecast, by Devices (2017-2030)
14.5.8.7. Market Revenue and Forecast, by Material (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.9.2. Market Revenue and Forecast, by End User (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Product (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Application (2017-2030)
14.5.9.5. Market Revenue and Forecast, by Technology (2017-2030)
14.5.9.6. Market Revenue and Forecast, by Devices (2017-2030)
14.5.9.7. Market Revenue and Forecast, by Material (2017-2030)
Chapter 15. Company Profiles
15.1. Apple (US)
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Intel (US)
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. NVIDIA (US)
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Qualcomm Technologies (US)
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Huawei Technologies (China)
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Samsung Electronics (South Korea)
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. IBM (US)
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Micron Technology (US)
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Xilinx (US)
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Google (US)
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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