Published Year: 2021
Imaging CRO Market - A Global and Regional Analysis: Focus on Services, Modalities, Applications, Ph
The global imaging CRO market is expected to grow at a CAGR of 7.25% during the forecast...
Market Research Report
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Table of Contents
1.1 Scope of the Study
1.2 Market Segmentation
1.3 Key Questions Answered
2.1 Data Collection and Analysis
2.2 Data Sources
2.2.1 Primary Data Sources
2.2.2 Secondary Data Sources
2.2.3 Data Sources and Categorization
2.2.4 Data Triangulation
2.2.5 Estimation and Forecasting Methodology
3.1 Parent Market Outlook
3.2 Market Size and Forecast
3.3 Limitations and Assumptions
3.4 Key Findings
4.1 Industry Ecosystem
4.2 Regulatory Framework
4.2.1 U.S.
4.2.1.1 Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms
4.2.1.2 Restraints in Current Regulatory Process for AI/ML-Based Medical Device/Algorithm in the U.S.
4.2.2 European Union
4.2.2.1 Change in Rules
4.2.2.2 New Rules in Annexure VIII
4.2.2.3 Implementation of MDR (Major Changes):
4.2.2.3.1 Expanded Device Definitions Requiring Re-Examination of the Current Classification of All Devices
4.2.2.3.2 Quality Management System
4.2.2.3.3 Technical File
4.2.2.3.4 New Identification and Traceability (UDI) Requirements
4.2.2.3.5 More Emphasis on Post-Market Surveillance
4.2.2.3.6 Need for Strengthening the Role of Internal Audits and Mandatory Audits
4.2.2.3.7 Dedicated Personnel for MDR compliance
4.2.2.3.8 U.K. Exiting the European Union, Post-Brexit
4.2.3 Japan
4.2.4 China
4.2.5 Other Countries
4.2.5.1 India
4.2.5.2 Latin America
4.2.5.3 Middle East and Africa
4.2.5.4 Consortiums, Associations, and Regulatory Bodies
4.3 Impact of COVID-19 Pandemic
4.3.1 Impact on Clinical Decision-Making and Clinical Settings
4.3.2 Impact on Manufacturers of AI-Based Medical Imaging Solutions
4.3.3 Conclusion
5.1 Key Developments and Strategies (Deal Tracking)
5.1.1 Collaborative Activities
5.1.2 Regulatory Activities
5.1.3 Funding Activities
5.1.4 New Offerings and Upgradations
5.2 Product Benchmarking
5.3 Competitor’s Assessment
5.3.1 Overview
5.3.2 Vuno, Co., Ltd.
5.3.3 Zebra Medical Vision, Inc.
5.4 Growth Share Analysis
5.4.1 by Product Type
5.4.2 by Workflow
5.4.3 by Mode of Deployment
5.4.4 by Application
5.4.5 by Region
6.1 Overview
6.2 Impact Analysis
6.3 Market Drivers
6.3.1 Expanding Range of Applications
6.3.2 Shortage of Healthcare Workforce
6.3.3 Increasing Funding Activities
6.3.4 Increasing Complexities of Clinical Decision-Making
6.4 Market Restraints
6.4.1 Privacy and Security Concerns Related to Healthcare Data
6.4.2 Lack of Trained Staff
6.4.3 Barriers to Physician’s Adoption of AI
6.4.4 Regulatory Hurdles
6.4.5 Legal Implications of AI Systems
6.5 Market Opportunities
6.5.1 Rapidly Evolving Machine and Deep Learning Techniques
6.5.2 Increasing Number of Cross-Industry Partnerships
7.1 Market Overview
7.2 Market Size and Forecast
7.2.1 Software
7.2.1.1 Perpetual Software License
7.2.1.2 Subscription Software License
7.2.1.3 Fee-Per-Case Software License
7.2.2 Hardware
8.1 Market Overview
8.2 Market Size and Forecast
8.2.1 Detection
8.2.2 Image Acquisition
8.2.3 Image Analysis
8.2.4 Diagnosis and Treatment Decision Support
8.2.5 Triage
8.2.6 Predictive Analysis and Risk Assessment
8.2.7 Reporting and Communication
9.1 Market Overview
9.2 Market Size and Forecast
9.2.1 Cloud-Based and Web-Based Solutions
9.2.2 On-Premises Solutions
10.1 Market Overview
10.2 Market Size and Forecast
10.2.1 General Radiology
10.2.2 Specialty Radiology
10.2.2.1 Chest
10.2.2.2 Musculoskeletal
10.2.2.3 Fluoroscopy
10.2.2.4 Others
11.1 Market Overview
11.2 North America
11.2.1 Market Footprint
11.2.2 Market Size and Forecast
11.2.2.1 U.S.
11.2.2.2 Canada
11.3 Europe
11.3.1 Market Footprint
11.3.2 Regional Market Dynamics
11.3.3 Market Size and Forecast
11.3.3.1 U.K.
11.3.3.2 Germany
11.3.3.3 France
11.3.3.4 Spain
11.3.3.5 Italy
11.3.3.6 Rest-of-Europe
11.4 Asia-Pacific
11.4.1 Market Footprint
11.4.2 Market Size and Forecast
11.4.2.1 China
11.4.2.2 Japan
11.4.2.3 Australia and New Zealand
11.4.2.4 Rest-of-Asia Pacific
11.5 Rest-of-the-World
11.5.1 Market Footprint
12.1 Overview
12.2 Competitor Snapshot
12.3 Agfa-Gevaert NV
12.3.1 Company Outlook
12.3.2 Role of the Company
12.3.3 Product Offerings
12.3.4 Financials
12.3.5 Competitive Position
12.3.5.1 Strengths of the Company
12.3.5.2 Weakness of the Company
12.4 Arterys, Inc.
12.4.1 Company Outlook
12.4.2 Role of the Company
12.4.3 Product Offerings
12.4.4 Competitive Position
12.4.4.1 Strengths of the Company
12.4.4.2 Weakness of the Company
12.5 Behold.AI Technologies Limited
12.5.1 Company Outlook
12.5.2 Role of the Company
12.5.3 Product Offerings
12.5.4 Competitive Position
12.5.4.1 Strengths of the Company
12.5.4.2 Weakness of the Company
12.6 Carestream Health, Inc.
12.6.1 Company Outlook
12.6.2 Role of the Company
12.6.3 Product Offerings
12.6.4 Competitive Position
12.6.4.1 Strength of the Company
12.6.4.2 Weakness of the Company
12.7 Enlitic, Inc.
12.7.1 Company Outlook
12.7.2 Role of the Company
12.7.3 Product Offerings
12.7.4 Competitive Position
12.7.4.1 Strength of the Company
12.7.4.2 Weakness of the Company
12.8 General Electric Company
12.8.1 Company Outlook
12.8.2 Role of the Company
12.8.3 Product Offerings
12.8.4 Financials
12.8.5 Competitive Position
12.8.5.1 Strengths of the Company
12.8.5.2 Weaknesses of the Company
12.9 Imagen Technologies, Inc.
12.9.1 Company Outlook
12.9.2 Role of the Company
12.9.3 Product Offerings
12.9.4 Competitive Position
12.9.4.1 Strength of the Company
12.9.4.2 Weakness of the Company
12.10 Infervision Medical Technology Co. Ltd.
12.10.1 Company Outlook
12.10.2 Role of the Company
12.10.3 Product Offerings
12.10.4 Competitive Position
12.10.4.1 Strengths of the Company
12.10.4.2 Weakness of the Company
12.11 Konica Minolta, Inc.
12.11.1 Company Outlook
12.11.2 Role of the Company
12.11.3 Product Offerings
12.11.4 Financials
12.11.5 Competitive Position
12.11.5.1 Strengths of the Company
12.11.5.2 Weaknesses of the Company
12.12 Lunit, Inc.
12.12.1 Company Outlook
12.12.2 Role of the Company
12.12.3 Product Offerings
12.12.4 Competitive Position
12.12.4.1 Strengths of the Company
12.12.4.2 Weakness of the Company
12.13 Quibim, S.L.
12.13.1 Company Outlook
12.13.2 Role of the Company
12.13.3 Product Offerings
12.13.4 Competitive Position
12.13.4.1 Strengths of the Company
12.13.4.2 Weakness of the Company
12.14 Qure.ai Technologies Pvt. Ltd.
12.14.1 Company Outlook
12.14.2 Role of the Company
12.14.3 Product Offerings
12.14.4 Competitive Position
12.14.4.1 Strengths of the Company
12.14.4.2 Weakness of the Company
12.15 Siemens Healthineers AG
12.15.1 Company Outlook
12.15.2 Role of the Company
12.15.3 Product Offerings
12.15.4 Financials
12.15.5 Competitive Position
12.15.5.1 Strengths of the Company
12.15.5.2 Weaknesses of the Company
12.16 Vuno Co., Ltd.
12.16.1 Company Outlook
12.16.2 Role of the Company
12.16.3 Product Offerings
12.16.4 Competitive Position
12.16.4.1 Strengths of the Company
12.16.4.2 Weakness of the Company
12.17 Zebra Medical Vision, Inc.
12.17.1 Company Outlook
12.17.2 Role of the Company
12.17.3 Product Offerings
12.17.4 Competitive Position
12.17.4.1 Strengths of the Company
12.17.4.2 Weakness of the Company
Table 1: Market Drivers
Table 2: Market Restraints
Table 3: List of Associations/Consortiums/Regulatory Bodies
Table 4: AI-Enabled Algorithms for X-Ray Imaging Solutions
Table 5: Market Drivers
Table 6: Market Restraints
Table 7: Competitor Snapshot
Table 8: Agfa-Gevaert NV: R&D Investments, $Million, 2018-2020
Table 9: General Electric Company: R&D Investments, $Million, 2018-2020
Table 10: Konica Minolta, Inc.: R&D Investments, $Million, 2019-2021
Table 11: Siemens Healthineers AG: R&D Investments, $Million, 2018-2020
Figure 1: Artificial Intelligence Methods in Medical Imaging
Figure 2: Applications and Advantages of AI-Enabled X-Rays
Figure 3: Share of Key Developments and Strategies, January 2018-August 2021
Figure 4: Global AI-Enabled X-Ray Imaging Solutions Market Potential, $Million, 2020-2031
Figure 5: Global AI-Enabled X-Ray Imaging Solutions Market Share (Product Type), 2020 and 2031
Figure 6: Global AI-Enabled X-Ray Imaging Solutions Market Share (by Workflow), 2020 and 2031
Figure 7: Global AI-Enabled Medical Imaging Solutions Market Share (Application), 2020 and 2031
Figure 8: Global AI-Enabled X-Ray Imaging Solutions Market Share (Mode of Deployment), 2020 and 2031
Figure 9: Global AI-Enabled X-Ray Imaging Solutions Market Regional Snapshot, 2020 and 2031
Figure 10: Market Segmentation
Figure 11: Market Segmentation (by Region)
Figure 12: Research Methodology
Figure 13: Primary Research
Figure 14: Secondary Research
Figure 15: Data Triangulation
Figure 16: Global AI-Enabled Medical Imaging Solutions Market, $Million, 2020-2031
Figure 17: Global AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 18: Industry Structure
Figure 19: Regulatory Process for Medical Devices in the U.S.
Figure 20: MDR Transitional Provisions
Figure 21: MDR Timeline
Figure 22: Key Developments and Strategies (by Category), January 2018-August 2021
Figure 23: Key Developments and Strategies (by Year), January 2018-August 2021
Figure 24: Collaborative Activities (by Company), January 2018-August 2021
Figure 25: Regulatory Activities (by Company), January 2018-August 2021
Figure 26: Total Funding in the Market, $Million, 2005-2021
Figure 27: New Offerings and Upgradations (by Year), January 2018-August 2021
Figure 28: VUNO Inc. Product Offerings
Figure 29: Accuracy: BoneAge vs. Physician
Figure 30: Time: BoneAge vs. Physician
Figure 31: Zebra Medical Vision, Inc. Product Offerings
Figure 32: Algorithm-Radiologists Agreement as Compared to the Inter-Radiologists Agreement when the Algorithm Results are not Shown
Figure 33: Algorithm-Radiologists Agreement as Compared to the Inter-Radiologists Agreement when the Algorithm Results are Shown
Figure 34: Growth Share Matrix (by Product), 2020-2031
Figure 35: Growth Share Matrix (by Workflow), 2020-2031
Figure 36: Growth Share Matrix: (by Mode of Deployment), 2020-2031
Figure 37: Growth Share Matrix (by Application), 2020-2031
Figure 38: Growth Share Matrix (by Region), 2020-2031
Figure 39: Top 10 Funding in the Market (by Company)
Figure 40: Global AI-Enabled X-Ray Imaging Solutions Market (Product Type), 2020 and 2031
Figure 41: Global AI-Enabled X-Ray Imaging Solutions Market (Software), $Million, 2020-2031
Figure 42: Global AI-Enabled X-Ray Imaging Solutions Market (Perpetual Software License), $Million, 2020-2031
Figure 43: Global AI-Enabled X-Ray Imaging Solutions Market (Subscription Software License), $Million, 2020-2031
Figure 44: Global AI-Enabled X-Ray Imaging Solutions Market (Fee-Per-Case Software License), $Million, 2020-2031
Figure 45: Global AI-Enabled X-Ray Imaging Solutions Market (Hardware), $Million, 2020-2031
Figure 46: Global AI-Enabled X-Ray Imaging Solutions Market (Detection), $Million, 2020-2031
Figure 47: Global AI-Enabled X-Ray Imaging Solutions Market (Image Acquisition), $Million, 2020-2031
Figure 48: Global AI-Enabled X-Ray Imaging Solutions Market (Image Analysis), $Million, 2020-2031
Figure 49: Global AI-Enabled X-Ray Imaging Solutions Market (Diagnosis and Treatment Decision Support), $Million, 2020-2031
Figure 50: Global AI-Enabled X-Ray Imaging Solutions Market (Triage), $Million, 2020-2031
Figure 51: Global AI-Enabled X-Ray Imaging Solutions Market (Predictive Analysis and Risk Assessment), $Million, 2020-2031
Figure 52: Global AI-Enabled X-Ray Imaging Solutions Market (Reporting and Communication), $Million, 2020-2031
Figure 53: Global AI-Enabled X-Ray Imaging Solutions Market (Cloud-Based and Web-Based Solutions), $Million, 2020-2031
Figure 54: Global AI-Enabled X-Ray Imaging Solutions Market (On-Premises Solutions), $Million, 2020-2031
Figure 55: Global AI-Enabled X-Ray Imaging Solutions Market (Application), 2020 and 2031
Figure 56: Global AI-Enabled X-Ray Imaging Solutions Market (General Radiology), $Million, 2020-2031
Figure 57: Global AI-Enabled X-Ray Imaging Solutions Market (Specialty Radiology), $Million, 2020-2031
Figure 58: Global AI-Enabled X-Ray Imaging Solutions Market (Chest), $Million, 2020-2031
Figure 59: Global AI-Enabled X-Ray Imaging Solutions Market (Musculoskeletal), $Million, 2020-2031
Figure 60: Global AI-Enabled X-Ray Imaging Solutions Market (Fluoroscopy), $Million, 2020-2031
Figure 61: Global AI-Enabled X-Ray Imaging Solutions Market (Others), $Million, 2020-2031
Figure 62: Global AI-Enabled X-Ray Imaging Solutions Market (by Region), 2020 and 2031
Figure 63: North America AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 64: Regional Market Dynamics
Figure 65: U.S. AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 66: Canada AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 67: Europe AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 68: U.K. AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 69: Germany AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 70: France AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 71: Spain AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 72: Italy AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 73: Rest-of- Europe AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 74: Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 75: Regional Market Dynamics
Figure 76: China AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 77: Japan AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 78: Australia and New Zealand AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 79: Rest-of-Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 80: Rest-of-the-World AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031
Figure 81: Shares of Key Companies Profiled
Figure 82: Agfa-Gevaert NV: Overall Financials, $Million, 2018-2020
Figure 83: Agfa-Gevaert NV: Net Revenue (by Segment), $Million, 2018-2020
Figure 84: Agfa-Gevaert NV: Net Revenue (by Region), $Million, 2018-2020
Figure 85: General Electric Company: Overall Financials, $Million, 2018-2020
Figure 86: General Electric Company: Net Revenue (by Segment) (Healthcare), $Million, 2018-2020
Figure 87: General Electric Company: Net Revenue (by Region), $Million, 2018-2020
Figure 88: Konica Minolta, Inc.: Overall Financials, $Million, 2019-2021
Figure 89: Konica Minolta, Inc.: Net Revenue (by Segment), $Million, 2019-2021
Figure 90: Konica Minolta, Inc.: Net Revenue (by Region), $Million, 2018-2020
Figure 91: Siemens Healthineers AG: Overall Financials, $Million, 2018-2020
Figure 92: Siemens Healthineers AG: Net Revenue (by Segment), $Million, 2018-2020
Figure 93: Siemens Healthineers AG: Net Revenue (by Region), $Million, 2018-2020
Market Report Coverage
|
AI-Enabled X-Ray Imaging Solutions |
|||
|
Base Year |
2020 |
Market Size in 2020 |
$66.0 Million |
|
Forecast Period |
2021-2031 |
Value Projection and Estimation by 2031 |
$639.7 Million |
|
CAGR During Forecast Period |
20.2% |
Number of Tables |
11 |
|
Number of Pages |
195 |
Number of Figures |
93 |
|
Market Segmentation |
• Product – Software (Perpetual Software License, Subscription Software License, and Fee-Per Case Software License) and Hardware • Application – Specialty Radiology (Chest, Musculoskeletal, Fluoroscopy, and Others) and General Radiology • Workflow – Detection, Image Acquisition, Image Analysis, Diagnosis and Treatment Decision Support, Triage, Predictive Analysis and Risk Assessment, and Reporting and Communication • Mode of Deployment – Cloud-Based and Web-Based Solutions, and On-Premises Solutions • Region – North America, Europe, Rest-of-the-World |
||
|
Regional Segmentation |
• North America – U.S., Canada • Europe – Germany, France, Spain, U.K., Italy, Rest-of-Europe • Asia-Pacific – Japan, China, Australia and New Zealand, Rest-of-Asia Pacific • Rest-of-the-World |
||
|
Market Growth Drivers |
• Expanding Range of Applications • Increasing Funding Activities • Increasing Complexities of Clinical Decision-Making |
||
|
Market Challenges |
• Privacy and Security Concerns Related to Healthcare Data • Lack of Trained Staff • Barriers to Physician’s Adoption of AI • Regulatory Hurdles • Legal Implications of AI Systems |
||
|
Market Opportunities |
• Rapidly Evolving Machine and Deep Learning Techniques • Increasing Number of Cross-Industry Partnerships |
||
|
Key Companies Profiled |
Agfa-Gevaert NV, Arterys, Inc., Behold.AI Technologies Limited, Carestream Health, Inc., Enlitic, Inc., General Electric Company, Imagen Technologies, Inc., Infervision Medical Technology Co. Ltd., Konica Minolta, Inc., Lunit, Inc., Quibim, S.L., Qure.ai Technologies Pvt. Ltd., Siemens Healthineers AG, Vuno Co., Ltd., Zebra Medical Vision, Inc. |
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How This Report Can Add Value
Who should buy this report?
• AI-based software and hardware providers to gain a holistic view of the market potential of various offerings and the developing economies for business expansions.
• Cloud service providers
• Established healthcare companies that are integrating software, machine learning, and AI into the radiology field
• Established medical technology companies to gain insights about the market potential, market entry strategies, new technologies in the market, and key competitors.
Key questions answered in the Report
• What are the various AI-enabled X-Ray imaging solutions available in the market?
• What is the current market size and future potential of these products?
• What are the major growth propelling factors, growth-inhibiting factors, and opportunities in the global AI-enabled X-Ray imaging solutions market?
• What are the major growth propelling factors, growth-inhibiting factors, and opportunities in the global AI-enabled X-Ray imaging solutions market?
• Who are the leading players holding dominating shares in the global AI-enabled X-Ray imaging solutions market currently?
• What are the key strategies incorporated by the players of the global AI-enabled X-Ray imaging solutions market to sustain the competition and retain their supremacy?
• What is the current revenue contribution of different product types, and how would it evolve in the forecast period?
• What is the current revenue contribution of different therapeutic applications, and how would it evolve in the forecast period?
• What are the current demand contribution of different workflow and workflow 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 X-Ray imaging solutions market?
Report Summary
Global AI-Enabled X-Ray Imaging Solutions Market Overview
Artificial intelligence (AI) is an emerging technology that uses computerized algorithms to analyze complex data. Artificial intelligence is actively used in the medical field. The products in the global AI-enabled X-Ray imaging solutions market include hardware and software solutions used to mimic human cognitive behaviors in medical imaging. Machine learning and deep learning algorithms are examples of AI-based software solutions that are built and educated to resemble AI when used with imaging modalities like X-Ray. On the other hand, AI-based hardware solutions include processors, microprocessors, and chips to perform crucial AI-based activities in medical imaging.
This research study evaluates the potential of the global AI-enabled X-Ray imaging solutions market. It considers every product (hardware and software) available in the market whose functionality aligns with human cognition.
The global AI-enabled X-Ray imaging solutions market is projected to reach $639.7 million by 2031, reveals the premium market intelligence study by BIS Research. The study also highlights that the market is set to witness a CAGR of 20.2% between 2021 and 2031.
Market Drivers
Presently, the factors driving the growth of the market include expanding the range of applications of AI, increasing funding activities, and increasing complexities of clinical decision-making.
Market Challenges
The challenges that are restricting the growth of the market include privacy and security concerns related to healthcare data, lack of trained staff, barriers to physician’s adoption of AI, regulatory hurdles, legal implications of AI systems.
Market Opportunities
Potential opportunities that are likely to boost the growth of the market include rapidly evolving machine and deep learning techniques and the increasing number of cross-industry partnerships.
Impact of COVID-19
The COVID-19 pandemic increased the use of X-Ray scans, which were used to screen out COVID-19 patients, as it allowed the doctors to see the lung is affected by the coronavirus. This directly affected the demand for AI-enabled X-Ray imaging solutions to aid the healthcare workers to screen out patients in less time. Also, the introduction of the AI-Enabled X-Ray imaging solutions improved the workflow of X-Ray imaging. This pandemic is expected to leave a long-term impact on the global AI-enabled X-Ray imaging solutions market.
Market Segmentation
by Product Type
Under this segmentation, the market is segmented into software and hardware.
The software segment is expected to grow at the highest CAGR of 21.6% during the forecast period 2021-2031. Revenue generated by the software segment accounted for approximately 73.8% of the overall market revenue in 2020. The software segment is further segmented into perpetual software license, subscription software license, and fee-per case software license.
The hardware segment is expected to register a CAGR of 14.7% during the forecast period.
by Application
Under this segmentation, the market in segmented into specialty radiology and general radiology. The specialty radiology is further segmented into chest, musculoskeletal, fluoroscopy, and others.
General radiology segment is expected to register the highest CAGR of 22.3% during the forecast period.
Revenue generated by the specialty imaging segment accounted for approximately 81.2% of the overall market revenue in 2020.
by Workflow
This segmentation include detection, image acquisition, image analysis, diagnosis and treatment decision support, triage, predictive analysis and risk assessment, and reporting and communication.
The detection segment dominates the market with a share of 33.0% of global market in 2020.
Predictive Analysis and Risk Assessment segment is expected to register the highest CAGR of 27.0% during the forecast period 2021-2031.
by Mode of Deployment
Under this segmentation, the market is segmented into cloud-based and web-based solutions, and on-premises solutions.
The cloud-based and web-based solution segment dominates the market with a share of 65.7% of global market in 2020 and is expected to register the highest CAGR of 20.4% during the forecast period 2021-2031.
by Region
The different regions covered under the market report includes North America, Europe, Asia-Pacific, and Rest-of-the-World.
North America dominates the market in 2020 and is anticipated to uphold its dominance throughout the forecast period 2021-2031. The growth in the market is majorly driven by the increasing research and development activities and many companies being located in the U.S.
Asia-Pacific market is expected to grow with the highest CAGR of 22.9% during the forecast period 2021-2031.
Key Market Players and Competition Synopsis
Some of the key players operating in the market, include Agfa-Gevaert NV, Arterys Inc., Behold.AI Technologies Limited, Carestream Health Inc., Enlitic Inc., General Electric Company, Imagen Technologies Inc., Infervision Medical Technology Co. Ltd., Konica Minolta Inc., Lunit Inc., Quibim S.L., Qure.AI Technologies Pvt. Ltd., Siemens Healthineers AG, Vuno Co. Ltd., and Zebra Medical Vision Inc.
The AI-enabled X-Ray imaging solutions market has witnessed several strategic and technological developments from January 2018- August 2021, undertaken by the different market players to attain their respective market shares in this emerging domain. Some of the strategies covered in this segment are product development and upgradations, partnerships, collaborations, business expansions, funding activities, regulatory approvals, mergers, and acquisitions. The preferred strategy for companies has been partnerships, collaborations, and business expansions.
Global AI-Enabled X-Ray Imaging Solutions Market
Focus on Product Type, Workflow, Mode of Deployment, and Application, and 10 Country-Level Data - Analysis and Forecast, 2021-2031
Some Faq's
Frequently Asked Questions
The AI-enabled X-ray imaging solutions market is expected to reach $639.7 Million by the end of 2031, witnessing a growth of 20.2% during the forecast period from 2021-2031.
Factors that can further boost the growth of the market include rapidly evolving machine and deep learning techniques and increasing number of cross-industry partnerships.
The factors driving the growth of the market include expanding range of applications, increasing funding activities, and increasing complexities of clinical decision-making.
Applications where AI-enabled X-ray imaging solutions include specialty radiology (chest, musculoskeletal, fluoroscopy, and others) and general radiology
Agfa-Gevaert NV, Arterys, Inc., Behold.AI Technologies Limited, Carestream Health, Inc., Enlitic, Inc., General Electric Company, Imagen Technologies, Inc., Infervision Medical Technology Co. Ltd., Konica Minolta, Inc., Lunit, Inc., Quibim, S.L., Qure.ai Technologies Pvt. Ltd., Siemens Healthineers AG, Vuno Co., Ltd., Zebra Medical Vision, Inc.
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