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Alternative Dispute Services Market Analysis Report by Service Type (Arbitration, Mediation, Negotiation), Mode of Delivery (Face-to-Face, Online/Virtual), Industry – Global Forecast 2025 To 2033
Artificial Intelligence (AI) in Ultrasound Imaging Market size was valued at USD 917.11 Million in 2023 and is projected to reach USD 1,750 Million by 2030, growing at a CAGR of 9.67% from 2023 to 2030.
One of the best, safest, and most affordable medical diagnostic methods is ultrasound imaging. AI-powered solutions have improved efficacy and diagnostic precision. Imaging equipment is becoming smarter thanks to AI technologies, which also enable clinicians to concentrate more on the patient and conduct in-depth analyses of the issue.
One of the significant factors accelerating the growth and demand for artificial intelligence in the ultrasound imaging market is the increasing usage of imaging biomarkers and quantitative imaging in clinical practice. The rising prevalence of different lifestyles paired with chronic diseases like cancer and cardiovascular disorders, as well as the rising demand for advanced imaging solutions integrated with AI, is also boosting the global market during the course of the forecast period. The market is also expanding as a result of the growing demand to lower healthcare costs and the introduction of huge and complicated healthcare datasets. Additionally, one of the key factors driving the growth of artificial intelligence in the ultrasound imaging market is the growing desire to reduce healthcare expenses and the increasing significance of big data in healthcare. Precision medicine’s widespread use and the falling cost of hardware will ensure strong industry growth throughout the projection period.
Since ultrasound imaging is regarded as one of the safest, most affordable, and most reliable medical diagnostic modalities worldwide, demand for it is incredibly strong in healthcare facilities like hospitals and clinics. The adoption of artificial intelligence technologies in ultrasonic imaging is anticipated to enhance the technique’s intelligence and efficiency in accurately diagnosing disease. The demand for AI in ultrasound imaging is being greatly fueled by the rising demand for imaging biomarkers and quantitative imaging.
A further factor driving the demand for AI in ultrasound imaging is the rising prevalence of different lifestyle-related and chronic diseases among the world’s population. Around 19.3 million new cases of cancer were reported in 2020, according to the International Agency for Research on Cancer (IARC). Cancer-related deaths have been estimated at 10 million. From 2020 to 2040, there will be a 47% increase in new cancer cases. Additionally, according to the World Health Organization, cardiovascular disorders account for about 32% of all fatalities worldwide. By 2045, the overall number of diabetics is predicted by the International Diabetes Federation to be around 783 million. As a result, hospitals are under increasing pressure to provide prompt and efficient care as the frequency of chronic diseases rises and the number of hospital admissions rises.
However, the high cost of the method and the scarcity of trained AI workers would restrain the growth of artificial intelligence in the ultrasound imaging market. In contrast, the long regulatory approval procedure and growing privacy concerns could pose a threat to the industry’s expansion.
Segments Covered in the Report
By Solution
By Application
By Technology
By Ultrasound Technology
By End User
By Geography
Regional Analysis
Artificial Intelligence (AI) in the Ultrasound Imaging market is studied across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
The adoption of AI in ultrasound imaging has been facilitated by the presence of major pharmaceutical and biotechnology businesses in the area, as well as growing investments in the adoption of cutting-edge innovative technologies in the medical field. Patients now want ultrasound imaging at higher rates due to the rising prevalence of numerous chronic conditions and rising healthcare costs. North America now holds a dominant position in the world’s ultrasound imaging market due to the availability of modern healthcare facilities and improved access to them. The growth of North American AI in the ultrasound imaging market is being aided by rising investments in R&D as well as the rising investments in the adoption of the newest medical equipment and software.
During the projected period, Asia Pacific is anticipated to have the ultrasound imaging market’s fastest-growing AI. Due to the availability of inexpensive production inputs, Asia Pacific is among the top producers of ultrasound imaging devices. The use of AI in ultrasonic imaging systems is expanding as a result of the increasing prevalence of various diseases and the rising demand for precise diagnostic outcomes. The demand for ultrasound imaging in obstetrics and gynecology applications has increased as a result of the rising problems during pregnancy brought on by late marriages and women’s changing lifestyles. During the forecast period, it is anticipated that rising government investments in the creation of smart hospitals will accelerate the growth of the Asia Pacific AI ultrasound imaging market.
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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.
13.1.7. Rest of North America
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
13.2.9. Germany
13.2.12. France
13.2.14. Rest of Europe
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
13.3.8. China
13.3.10. Japan
13.3.11. Rest of APAC
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
13.4.8. North Africa
13.4.10. South Africa
13.4.11. Rest of MEA
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
13.5.8. Rest of LATAM
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
14.3. IBM
14.4. EchoNous, Inc.
14.5. Microsoft
14.6. General Vision Inc.
14.7. GENERAL ELECTRIC COMPANY
14.8. Johnson & Johnson Services, Inc.
14.9. Siemens Healthcare Private Limited
14.10. Medtronic
14.11. CloudMedx Inc.
14.12. Agfa-Gevaert Group
14..13. Butterfly Network, Inc.
14.14. Imagia Cybernetics Inc.
14.15. Enlitic, Inc.
14.16 Micron Technology, Inc.
14.17 SAMSUNG
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
By Solution
By Application
By Technology
By Ultrasound Technology
By End User
By Geography
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