Artificial Intelligence (AI) in Hardware

Artificial Intelligence (AI) in Hardware Market to Witness a Healthy Growth by 2030

According to Precedence Research, during the forecast period of 2022 to 2030, the global artificial intelligence (AI) in hardware market is estimated to develop at a compound annual growth rate (CAGR) of 26.96%. The global artificial intelligence (AI) in hardware market was valued at USD 10.41 billion in 2021, and it is predicted to exceed USD 89.22 billion by 2030. The study investigates several elements and their consequences on the growth of the artificial intelligence (AI) in hardware market.

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This report focuses on artificial intelligence (AI) in hardware market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence (AI) in hardware market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

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

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence (AI) in hardware, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence (AI) in hardware has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence (AI) in hardware market.

Some of the prominent players in the artificial intelligence (AI) 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)

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Segments Covered in the Report

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

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]

Some of the important ones are:

  • What can be the best investment choices for venturing into new product and service lines?
  • What value propositions should businesses aim at while making new research and development funding?
  • Which regulations will be most helpful for stakeholders to boost their supply chain network?
  • Which regions might see the demand maturing in certain segments in near future?
  • What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
  • Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
  • Which government regulations might challenge the status of key regional markets?
  • How will the emerging political and economic scenario affect opportunities in key growth areas?
  • What are some of the value-grab opportunities in various segments?
  • What will be the barrier to entry for new players in the market?

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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