Worldwide Industry for AI-Enabled Medical Imaging Solutions to 2030 - Rapidly Evolving Deep Learning Techniques Presents Opportunities

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Jan 26, 2021, 08:15 ET

DUBLIN, Jan. 26, 2021 /PRNewswire/ -- The "Global AI-Enabled Medical Imaging Solutions Market: 15 Countries Analysis - Analysis and Forecast, 2020-2030" report has been added to ResearchAndMarkets.com's offering.

The global AI-enabled medical imaging solutions market was valued at $636.1 million in 2019 and is anticipated to reach $10,145.1 million by 2030, growing at a CAGR of 26.69%, during the forecast period 2020 -2030.

The increasing complexities in clinical decision making, rising radiologist workload, and huge R&D investments are the major factors fueling market growth. In addition to these factors, there are significant challenges and restraints, which are restricting market growth. These challenges include the physicians' reluctance toward the adoption of advanced technologies such as AI and the privacy and security concerns related to healthcare data. Hence, it is anticipated that these trends will have a significant impact on AI-enabled medical imaging solutions market in the next five years, and the market will grow multifold.

Global AI-enabled imaging modalities market is currently witnessing a significant change in the market landscape. There is rising investment in development of healthcare infrastructure, increasing evidences for efficient and promising results in treatment and diagnosis assistance. Thus, this is leading to potential growth opportunities for the AI-enabled imaging modalities market. Moreover, there is an extensive entry of emerging players developing AI-powered imaging systems, and software companies into the healthcare space. All these predominant factors have led to a significant rise in sales of AI-based imaging modality systems across the globe.

Market Report Coverage - AI-Enabled Medical Imaging Solutions

Market Segmentation

Therapeutic Application - Cardiology, Oncology (Breast, Lung, Other Cancer Types), Neurology, Respiratory, Orthopedic, and Others
Modality - CT, MRI, X-Ray, Ultrasound, PET, Other Modalities
Workflow - Image Acquisition, Image Analysis, Detection, Diagnosis, and Treatment Decision Support, Predictive Analysis & Risk Assessment, Triage, Reporting and Communication, and Equipment Maintenance

Regional Segmentation

North America - U.S. and Canada
Europe - Germany, U.K, Italy, Spain, France, Switzerland, Sweden, Netherlands, and Rest of -Europe
Asia-Pacific - Japan, China, South Korea, Australia and New Zealand, Singapore, and Rest of -Asia -Pacific
Rest-of-the-World

Growth Drivers

Increasing Complexities of Clinical Decision -Making
Expanding Range of Applications
Shortage of Healthcare Workforce
Huge R&D investment

Market Challenges

Privacy and Security Concerns Related to Healthcare Data
Regulatory Challenges
Barriers to Physician's Adoption of AI
Lag in Regulatory Approvals
Legal Implications of AI Systems
Rise in Medical Imaging Expenses
Data Security and Privacy Issues
Lack of Trained Staff

Market Opportunities

Rapidly Evolving Deep Learning Techniques
Increasing Number of Cross-Industry Partnerships

Key Companies Profiled

Siemens Healthineers AG., General Electric Company, Agfa - Gevart Group, Hologic, Inc., Fujifilm Holdings Corporation, General Electric Company, iCAD, Inc., Koninklijke Philips N.V., Nuance Communications, Inc., Synopsys Inc., NVIDIA Corporation, Nanox, Butterfly Network, Inc., Hyperfine. Aidoc, Arterys Inc, Beijing Infervision Technology Co., Ltd., Blackford Analysis Limited, Envoy AI, MIRADA MEDICAL LIMITED, VUNO Inc., and Zebra Medical Vision, Inc.

Key Questions Answered in this Report:

What are the various AI-enabled medical imaging solutions and systems available in the market?
What is the current market size and future potential of these products?
What are the major market drivers, challenges, and opportunities in the global AI-enabled medical imaging solutions market?
What are the guidelines implemented by different government bodies to regulate the approval of AI-enabled medical imaging solutions?
What are the key technological developments on which the current industry leaders are spending a major share of their research and development (R&D) investments?
Who are the leading players holding dominating shares in the global AI-enabled medical imaging solutions market, currently?
What are the key strategies incorporated by the players of global AI-enabled medical imaging solutions market, to sustain the competition and retain their supremacy?
What is the current revenue contribution of different therapeutic applications, workflow, and modality, and how would it evolve in the forecast period?
What is the current demand contribution of different product types and how would it evolve in the forecast period?
What is the current demand contribution of different deployment models and how would it evolve in the forecast period?
Which countries contribute to the major share of current demand and which countries hold significant scope for expansion for business activities, by players of the global AI-enabled medical imaging solutions market?

Key Topics Covered:

1 Product Definition

2 Research Scope

3 Research Methodology

4 Industry Insights
4.1 Industry Ecosystem
4.2 Legal Requirements and Regulations
4.2.1 Regulatory Framework for Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms
4.2.1.1 Restraints in Current Regulatory Process for AI/ML-Based Medical Device/Algorithm
4.2.2 Regulatory Framework in the U.S.
4.2.3 Regulatory Framework in Europe
4.2.3.1 Changes in Rule
4.2.3.2 New Rules in the Annexure VIII
4.2.3.3 Major Changes in the EU due to the Implementation of MDR:
4.2.3.3.1 Expanded Device Definitions Requiring Re-Examination of the Current Classification of All Devices
4.2.3.3.2 Quality Management System
4.2.3.3.3 Technical File
4.2.3.3.4 Need to Comply with New Identification and Traceability (UDI) Requirements
4.2.3.3.5 More Emphasis on Post-Market Surveillance
4.2.3.3.6 Need for Strengthening the Role of Internal Audits and Mandatory Audits
4.2.3.3.7 Dedicated Personnel for MDR compliance
4.2.4 Regulatory Framework in Japan
4.2.5 Regulatory Framework in China
4.2.6 Regulatory Framework in Other Countries
4.2.6.1 Regulatory Framework in India
4.2.6.2 Regulatory Framework in Latin America
4.2.6.3 Regulatory Framework in the Middle East and Africa (MEA)
4.2.7 Consortiums, Associations, and Regulatory Bodies
4.3 Impact of COVID-19
4.3.1 Impact on Clinical Settings and Clinical Decision-Making
4.3.2 Impact on AI-Based Medical Imaging Solution Manufacturers
4.3.3 Conclusion

5 Real World Evidence
5.1 Overview
5.2 Aidoc
5.2.1 Role of Aidoc in the Global AI-Enabled Medical Imaging Solutions Market
5.3 Arterys Inc.
5.3.1 Role of Arterys Inc. in the Global AI-Enabled Medical Imaging Solutions Market
5.4 Bay Labs, Inc.
5.4.1 Role of Bay Labs, Inc. in the Global AI-Enabled Medical Imaging Solutions Market
5.5 Heart Flow, Inc.
5.5.1 Role of Heart Flow, Inc. in the Global AI-Enabled Medical Imaging Solutions Market
5.6 MIRADA MEDICAL LIMITED
5.6.1 Role of Mirada Medical Limited in the Global AI-Enabled Medical Imaging Solutions Market
5.7 RADLogics Inc.
5.7.1 Role of RADLogics Inc. in the Global AI-Enabled Medical Imaging Solutions Market
5.8 VIDA Diagnostics, Inc.
5.8.1 Role of VIDA Diagnostics, Inc. in the Global AI-Enabled Medical Imaging Solutions Market
5.9 VUNO Inc.
5.9.1 Role of VUNO lnc. in the Global AI-Enabled Medical Imaging Solutions Market
5.1 Zebra Medical Vision, Inc.
5.10.1 Role of Zebra Medical Vision, Inc. in the Global AI-Enabled Medical Imaging Solutions Market

6 Global AI-Enabled Medical Imaging Solutions Market Scenario
6.1 Assumptions and Limitations
6.2 Global Market Scenario
6.3 Potential Market Opportunities
6.3.1 Rapidly Evolving Deep Learning Techniques
6.3.2 Increasing Number of Cross-Industry Partnerships
6.4 Market Dynamics
6.4.1 Impact Analysis
6.4.2 Market Drivers
6.4.2.1 Increasing Complexities of Clinical Decision-Making
6.4.2.2 Expanding Range of Applications
6.4.2.3 Shortage of Healthcare Workforce
6.4.2.4 Huge R&D Investments
6.4.3 Market Restraints
6.4.3.1 Privacy and Security Concerns Related to Healthcare Data
6.4.3.2 Regulatory Challenges
6.4.3.3 Barriers to Physician's Adoption of AI
6.4.3.4 Lag in Regulatory Approvals
6.4.3.5 Legal Implications of AI Systems
6.4.3.6 Rise in Medical Imaging Expenses
6.4.3.7 Data Security and Privacy Issues
6.4.3.8 Lack of Trained Staff

7 Competitive Landscape
7.1 Key Strategies and Developments
7.1.1 Joint Ventures, Collaborations, and Partnerships
7.1.2 Funding and Investments
7.1.3 Regulatory and Legal Activities.
7.1.3.1 U.S. FDA Approvals
7.1.3.2 CE Mark Approvals
7.1.3.3 PMDA Approvals
7.1.3.4 Others
7.1.4 Product Launches and Enhancements
7.1.5 Mergers and Acquisitions
7.2 Growth Share Analysis
7.2.1 Growth Share Matrix (by Product)
7.2.2 Growth Share Matrix (by Workflow)
7.2.3 Growth Share Matrix (by Modality)

8 Global AI-Enabled Medical Imaging Solutions Market (by Modality)
8.1 Overview
8.2 Computed Tomography (CT)
8.3 Magnetic Resonance (MR)
8.4 Ultrasound
8.5 X-Ray
8.6 Mammography
8.7 Multimodality Imaging Systems
8.8 Other Modalities

9 Global AI-Enabled Medical Imaging Solutions Market (by Product)
9.1 Overview
9.2 Software
9.2.1 Perpetual Software License
9.2.2 Subscription Software License
9.2.3 Fee-Per Case Software License
9.3 Hardware

10 Global AI-Enabled Medical Imaging Solutions Market (by Deployment Model)
10.1 Overview
10.2 Cloud- and Web-Based Solutions
10.3 On-Premises Solutions

11 Global AI-Enabled Medical Imaging Solutions Market (by Workflow), 2019-2030
11.1 Overview
11.2 Image Acquisition
11.3 Image Analysis
11.4 Detection
11.5 Diagnosis and Treatment Decision Support
11.6 Predictive Analysis and Risk Assessment
11.7 Triage
11.8 Reporting and Communication

12 Global AI-Enabled Medical Imaging Solutions Market (by Therapeutic Application)
12.1 Overview
12.2 Specialty Imaging
12.2.1 Cardiology
12.2.2 Oncology
12.2.2.1 Lung Cancer
12.2.2.2 Breast Cancer
12.2.2.3 Other Cancer Types
12.2.3 Neurology
12.2.4 Respiratory
12.2.5 Orthopedics
12.2.6 Others
12.3 General Imaging

13 Global AI-Enabled Medical Imaging Solutions Market (by Region)
13.1 Overview
13.2 North America
13.3 Europe
13.4 Asia-Pacific
13.5 Rest-of-the-World (RoW)

14 Company Profiles
14.1 Overview
14.2 Agfa-Gevaert Group
14.3 Butterfly Network, Inc.
14.4 Fujifilm Holdings Corporation
14.5 General Electric Company
14.6 Hyperfine
14.7 Hologic, Inc.
14.8 Koninklije Philips N.V.
14.9 Nanox
14.1 Siemens Healthineers AG
14.11 Aidoc
14.12 Arterys Inc.
14.13 Beijing Infervision Technology Co., Ltd.
14.14 Blackford Analysis Limited
14.15 Eureka Clinical AI, formerly known as EnvoyAI
14.16 iCAD, Inc.
14.17 MIRADA MEDICAL LIMITED
14.18 Nuance Communications, Inc.
14.19 NVIDIA Corporation
14.2 Synopsys, Inc.
14.21 VUNO lnc.
14.22 Zebra Medical Vision, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/sb7fys

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