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Artificial Intelligence in Hardware Market Size to Worth Around US$ 89.22 Billion by 2030

The global artificial intelligence in hardware market size is expected to reach USD 89.22 Billion by 2030, with a CAGR of 26.96% from 2022 to 2030.

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[150+ Pages Report] As per the latest Research and survey report issued by Precedence Research, the global artificial intelligence in hardware market was valued at around USD 10.41 billion in 2021 and is expected to register revenues worth USD 89.22 billion by the end of 2030, growing at an exceptional CAGR of approximately 26.96% between 2022 and 2030.

Artificial Intelligence in Hardware

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Artificial Intelligence in Hardware Market Report Scope

A recent study by Precedence Research on the artificial intelligence in hardware market offers a forecast for 2022 and 2030. The study analyzes crucial trends that are currently determining the growth of the artificial intelligence in hardware market. This report explicates on vital dynamics such as the drivers, restraints, and opportunities for key market players, along with key stakeholders as well as emerging players associated with the manufacturing of artificial intelligence in hardware. The study also provides the dynamics that are responsible for influencing the future status of the artificial intelligence in hardware market over the forecast period.

A detailed assessment of the artificial intelligence in hardware market value chain analysis, business execution, and supply chain analysis across regional markets has been covered in the report. A list of prominent companies operating in the artificial intelligence in hardware market along with their product portfolio enhances the reliability of this comprehensive research study.

Competition Landscape

The report has engulfed a chapter on the global artificial intelligence in hardware market’s competitive landscape, which provides detailed analysis and insights on companies offering artificial intelligence in hardware. Profiles of key companies, along with a strategic overview of their M&A and expansion plans across geographies, have been delivered in this chapter.

This chapter is priceless for report readers, as its enables them in gauging their growth potential in the market and implement key strategies for extending their market reach.

This chapter offers key recommendations for both new and existing market participants, enabling them to emerge sustainably and profitably. Intelligence on the market players has been delivered on the basis of their product overview, SWOT analysis, key developments, key financials and company overview. Occupancy of these market participants has been tracked by the report and portrayed via an intensity map.

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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
  • 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]

Regional Analysis

The research report includes a detailed study of regions of North America, Europe, China, Japan and Rest of the World. The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2022 to 2030. These analyses will help the reader to understand the potential worth of investment in a particular region.

The report provides in-depth segment analysis of the global artificial intelligence in hardware market, thereby providing valuable insights at macro as well as micro levels. Analysis of major countries, which hold growth opportunities or account for significant share has also been included as part of geographic analysis of the artificial intelligence in hardware market.

The report includes country-wise and region-wise market size for the period 2022-2030. It also includes market size and forecast by segments in terms of production capacity, price and revenue for the period 2022-2030.

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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About Us

Precedence Research is a Canada/India based company and one of the leading providers of strategic market insights. We offer executive-level blueprints of markets and solutions beyond flagship surveys. Our repository covers consultation, syndicated market studies, and customized research reports. Through our services we aim at connecting an organization’s goal with lucrative prospects globally.

From gauging investment feasibility to uncovering hidden growth opportunities, our market studies cover in-depth analysis, which also is interspersed with relevant statistics. Recommendation are often enclosed within our reports with the sole intent of enabling organizations achieve mission-critical success.

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Janet Edward

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

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