Artificial Intelligence (AI) in Hardware Market Size At Around US$ 89.22 Bn In 2030

The artificial intelligence in hardware market would grow at a CAGR of 26.96% over the predicted time frame. The market is expected to increase in value from US$ 13.22 Bn in 2022 to US$ 89.22 Bn in 2030.

The on artificial intelligence in hardware Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.

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 Report Scope of the Artificial Intelligence (AI) in Hardware Market

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

A recent report provides crucial insights along with application based and forecast information in the Global Artificial intelligence in hardware Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial intelligence in hardware market.

A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.

Companies and Manufacturers Covered

The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Artificial intelligence in hardware market are included as given below:

Artificial intelligence in hardware Market Key Players

• 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)

Market Segments

 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
• On-premise

By Geography

• North America
• U.S.
• Canada
• Europe
• U.K.
• Germany
• France
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Malaysia
• Philippines
• Latin America
• Brazil
• Rest of Latin America
• Middle East & Africa (MEA)
• GCC
• North Africa
• South Africa
• Rest of the Middle East & Africa

Report Objectives

• To define, describe, and forecast the global artificial intelligence in hardware market based on product, and region
• To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
• To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
• To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
• To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
• To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
• To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the artificial intelligence in hardware market

Table of Content

 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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