Artificial Intelligence in Ultrasound Imaging Market Size US$ 1,691.2 Million by 2030

According to the new research report published by Precedence Research, titled “Artificial Intelligence in Ultrasound Imaging Market (By Solution: Software tools, Services, Devices; By Application: Radiology, Cardiovascular, Gastroenterology, Obstetrics and Gynecology; By Technology: Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision; By Ultrasound Technology; By End User) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global artificial intelligence in ultrasound imaging market size is expected to be worth around US$ 1,691.2 million by 2030 and is poised to record a yearly growth rate of 8.76% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.

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

Artificial Intelligence in Ultrasound Imaging Market Size 2022 To 2030

 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.

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The study also provides important advancements in organic and inorganic growth strategies in the worldwide artificial intelligence in ultrasound imaging market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of artificial intelligence in ultrasound imaging market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.

Artificial Intelligence in Ultrasound Imaging Market  Report Scope 

Report Coverage Details
Market Size in 2022 USD 863.59 Million
Market Size by 2030 USD 1,691.2 Million
Growth Rate from 2022 to 2030 CAGR of 8.76%
Largest Market North America
Fastest Growing Market Asia-Pacific
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered
  • By Solution
  • By Application
  • By Technology
  • By Ultrasound Technology
  • By End User

Also read: Blood Purification Equipment Market Size US$ 27.43 Billion by 2030

Market Key Players

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 in ultrasound imaging market.

Some of the prominent players in the artificial intelligence in ultrasound imaging market include

  • NVIDIA Corporation
  • Intel Corporation
  • IBM
  • EchoNous, Inc.
  • Microsoft
  • General Vision Inc.
  • GENERAL ELECTRIC COMPANY
  • Johnson & Johnson Services, Inc.
  • Siemens Healthcare Private Limited
  • Medtronic
  • CloudMedx Inc.
  • Agfa-Gevaert Group
  • Butterfly Network, Inc.
  • Imagia Cybernetics Inc.
  • Enlitic, Inc.
  • Micron Technology, Inc.
  • SAMSUNG

Artificial Intelligence in Ultrasound Imaging Market  Segmentations 

By Solution

  • Software tools
  • Services
  • Devices

By Application

  • Radiology
  • Cardiovascular
  • Gastroenterology
  • Obstetrics and Gynecology

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context- Aware Computing
  • Computer Vision

By Ultrasound Technology

  • Diagnostic Imaging
  • Therapeutic
  • 2D, 3D/4D Ultrasound Imaging
  • High Intensity Focused Ultrasound
  • Extracorporeal Shockwave Lithotripsy
  • Doppler Ultrasound

By End User

  • Hospitals
  • Clinics
  • Research Labs and diagnostic centers
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

Report Objectives 

  • To define, segment, and project the global market size for artificial intelligence in ultrasound imaging market
  • To understand the structure of the market by identifying its various sub-segments
  • To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
  • To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
  • To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
  • To profile key players and comprehensively analyse their core competencies
  • To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
  • To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements 

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. COVID 19 Impact on Artificial Intelligence (AI) In Ultrasound Imaging Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) In Ultrasound Imaging Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, By Solution

8.1. Artificial Intelligence (AI) In Ultrasound Imaging Market, by Solution, 2022-2030

8.1.1. Software tools

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Devices

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, By Application

9.1. Artificial Intelligence (AI) In Ultrasound Imaging Market, by Application, 2022-2030

9.1.1. Radiology

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Cardiovascular

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Gastroenterology

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Obstetrics and Gynecology

9.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, By Technology 

10.1. Artificial Intelligence (AI) In Ultrasound Imaging Market, by Technology, 2022-2030

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Natural Language Processing

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Context- Aware Computing

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Computer Vision

10.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, By Ultrasound Technology

11.1. Artificial Intelligence (AI) In Ultrasound Imaging Market, by Ultrasound Technology, 2022-2030

11.1.1. Diagnostic Imaging

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Therapeutic

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. 2D, 3D/4D Ultrasound Imaging

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. High Intensity Focused Ultrasound

11.1.4.1. Market Revenue and Forecast (2017-2030)

11.1.5. Extracorporeal Shockwave Lithotripsy

11.1.5.1. Market Revenue and Forecast (2017-2030)

11.1.6. Doppler Ultrasound

11.1.6.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, By End User

12.1. Artificial Intelligence (AI) In Ultrasound Imaging Market, by End User, 2022-2030

12.1.1. Hospitals

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Clinics

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Research Labs and diagnostic centers

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Others

12.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Artificial Intelligence (AI) In Ultrasound Imaging Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.1.5. Market Revenue and Forecast, by End User (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.1.6.5. Market Revenue and Forecast, by End User (2017-2030)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.1.7.5. Market Revenue and Forecast, by End User (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.2.5. Market Revenue and Forecast, by End User (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.7. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.2.8. Market Revenue and Forecast, by End User (2017-2030)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.10. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.2.11. Market Revenue and Forecast, by End User (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.12.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.2.13. Market Revenue and Forecast, by End User (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.14.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.2.15. Market Revenue and Forecast, by End User (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.3.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.3.7. Market Revenue and Forecast, by End User (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.3.9. Market Revenue and Forecast, by End User (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.10.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.3.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.11.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.3.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.4.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.4.7. Market Revenue and Forecast, by End User (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.4.9. Market Revenue and Forecast, by End User (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.10.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.4.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.11.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.4.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.5.5. Market Revenue and Forecast, by End User (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.5.7. Market Revenue and Forecast, by End User (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Ultrasound Technology (2017-2030)

13.5.8.5. Market Revenue and Forecast, by End User (2017-2030)

Chapter 14. Company Profiles

14.1. NVIDIA Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Intel Corporation

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. IBM

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. EchoNous, Inc.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Microsoft

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. General Vision Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. GENERAL ELECTRIC COMPANY

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Johnson & Johnson Services, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Siemens Healthcare Private Limited

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Medtronic

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

Why should you invest in this report?

If you are aiming to enter the global artificial intelligence in ultrasound imaging 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 ultrasound imaging 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.

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Prathamesh

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.

Prathamesh

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.

View all posts by Prathamesh →

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