Global AI-Enabled X-Ray Imaging Solutions Market - GLOBAL:2021

Market Report Coverage :
Start Year : 2021 - Forecast Year : 2031 - Start Value : $101.6 Million in 2021 - Forecast Value : $639.7 Million by 2031 - CAGR % : 0.2%
Description :
Market Report Coverage - AI-Enabled X-Ray Imaging SolutionsMarket 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-WorldRegional 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-WorldMarket Growth Drivers• Expanding Range of Applications• Increasing Funding Activities• Increasing Complexities of Clinical Decision-MakingMarket 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 SystemsMarket Opportunities• Rapidly Evolving Machine and Deep Learning Techniques• Increasing Number of Cross-Industry PartnershipsKey Companies ProfiledAgfa-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.How This Report Can Add ValueWho 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?• 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?Global AI-Enabled X-Ray Imaging Solutions Market OverviewArtificial 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 DriversPresently, 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 ChallengesThe 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 OpportunitiesPotential 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-19The 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 Segmentationby Product TypeUnder 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 ApplicationUnder 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 WorkflowThis 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 DeploymentUnder 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 RegionThe 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 SynopsisSome 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.
Countries Covered :
North America U.S. CanadaEurope Germany Italy Spain France U.K. Rest-of-EuropeAsia-Pacific China Australia and New Zealand Japan Rest-of-Asia-PacificRest-of-the-World
Keywords :
AI-Enabled X-Ray Imaging Solutions Market, AI-Enabled X-Ray Imaging Solutions Industry, AI-Enabled X-Ray Imaging Solutions Report, AI-Enabled X-Ray Imaging Solutions Market Forecasts, AI-Enabled X-Ray Imaging Solutions Market Trends, AI-Enabled X-Ray Imaging Solutions Market Companies, AI-Enabled X-Ray Imaging Solutions Market Analysis, AI-Enabled X-Ray Imaging Solutions Industry Analysis, What is AI-Enabled X-Ray Imaging Solutions, AI-Enabled X-Ray Imaging Solutions Definition, AI-Enabled X-Ray Imaging Solutions Market Competitive Landscape, AI-Enabled X-Ray Imaging Solutions Market Drivers, AI-Enabled X-Ray Imaging Solutions Market Segments, AI-Enabled X-Ray Imaging Solutions Market Outlook, AI-Enabled X-Ray Imaging Solutions Market Opportunity, AI-Enabled X-Ray Imaging Solutions Market Growth, AI-Enabled X-Ray Imaging Solutions Market Share, AI-Enabled X-Ray Imaging Solutions Market Size, AI-Enabled X-Ray Imaging Solutions Market by Product Type, AI-Enabled X-Ray Imaging Solutions Market by Workflow, AI-Enabled X-Ray Imaging Solutions Market by Mode of Deployment, AI-Enabled X-Ray Imaging Solutions Market by Application, AI-Enabled X-Ray Imaging Solutions Market by Region, Software AI-Enabled X-Ray Imaging Solutions Market, Perpetual Software License AI-Enabled X-Ray Imaging Solutions Market, Subscription Software License AI-Enabled X-Ray Imaging Solutions Market, Fee-Per-Case Software License AI-Enabled X-Ray Imaging Solutions Market, Hardware AI-Enabled X-Ray Imaging Solutions Market, Detection AI-Enabled X-Ray Imaging Solutions Market, Image Acquisition AI-Enabled X-Ray Imaging Solutions Market, Image Analysis AI-Enabled X-Ray Imaging Solutions Market, Diagnosis and Treatment Decision Support AI-Enabled X-Ray Imaging Solutions Market, Triage AI-Enabled X-Ray Imaging Solutions Market, Predictive Analysis and Risk Assessment AI-Enabled X-Ray Imaging Solutions Market, Reporting and Communication AI-Enabled X-Ray Imaging Solutions Market, Cloud-Based AI-Enabled X-Ray Imaging Solutions Market, Web-Based AI-Enabled X-Ray Imaging Solutions Market, On-Premises AI-Enabled X-Ray Imaging Solutions Market, Specialty Radiology AI-Enabled X-Ray Imaging Solutions Market, General Radiology AI-Enabled X-Ray Imaging Solutions Market, Chest AI-Enabled X-Ray Imaging Solutions Market, Musculoskeletal AI-Enabled X-Ray Imaging Solutions Market, Fluoroscopy AI-Enabled X-Ray Imaging Solutions Market, North America AI-Enabled X-Ray Imaging Solutions Market, Europe AI-Enabled X-Ray Imaging Solutions Market, Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market
Press Release :
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. BIS Research study indicates that the global AI-enabled X-Ray imaging solutions market has witnessed significant growth in the past ten years, owing to expanding applications of AI in radiology. Furthermore, due to the shortage of the healthcare workforce and increasing complexities of clinical decision-making, the adoption of AI in X-Ray imaging solutions is expected to grow in the upcoming years.To emphasize the impact of COVID-19 on the global AI-Enabled X-Ray imaging solutions market, Aditya Singh, Senior Analyst – BIS Research, states, ""The COVID-19 pandemic increased the use of the 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 the 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. Apart from the accelerated growth of the AI-enabled X-Ray imaging solutions due to the COVID-19 pandemic, the market will witness an increase in the number of scans due to the increasing population and prevalence of diseases on a global level.""Key companies operating in the marketLeading companies, market participants, and solution providers 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.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.How can market intelligence on AI-enabled X-Ray imaging solutions market add value to your business’s decision-making process?• Aid in product development.• Aid in understanding the regulatory scenario of the market in different regions.• Help in targeting a segment for launching a new product.• Aid in understanding the market potential of different opportunities available within a segment.• Support in analyzing the market opportunities.• Insights on the key companies in the market.Scope of the Global AI-Enabled X-Ray Imaging Solutions Market Report:• Global trend• COVID-19 impact analysis • Available offerings, and segments and respective sub-divisions influencing the market • Study of more than 80 products present in the market.• Detailed competitive landscape• Detailed market share and growth share analysis• Study data of over 10 countries• Growth factors• Market challenges / restraints• Detailed market segmentationMarket Segmentation• Product Type: Software and hardware are the products covered under the AI-enabled X-Ray imaging solutions market on the basis of product type. 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.• Application: Different types of imaging being performed are covered under AI-enabled X-Ray imaging solutions on the basis of therapeutic application. The general imaging segment is expected to grow at the highest CAGR of 22.3% during the forecast period 2021-2031. Revenue generated by the specialty imaging segment accounted for approximately 81.2% of the overall market revenue in 2020.• Workflow: Different tasks being performed in radiology such as detection, image acquisition, image analysis, diagnosis and treatment decision support, triage, predictive analysis and risk assessment, and reporting and communication. The detection segment held the maximum share in the global AI-enabled X-Ray imaging solutions market in 2020.• Mode of Deployment: Cloud-based and web-based solutions, and on-premises solutions are the mode of deployment. The cloud-based and web-based solutions segment held the maximum share in the global AI-enabled X-Ray imaging solutions market in 2020. • Regions: North America, Europe, Asia-Pacific, and Rest-of-the-World. Revenues generated by the U.S. accounted for 49.7% of the global AI-enabled X-Ray imaging solutions market revenue in 2020, which was the largest market share in terms of revenue compared to other countries for 2020. The U.S. is expected to remain in the leading position during the forecast period 2021-2031. The U.S. was followed by China, U.K., Germany, and Canada.Key Questions Answered:• 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?• 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?
Companies Mentioned :
Agfa-Gevaert NVArterys, Inc.Behold.AI Technologies LimitedCarestream Health, Inc.Enlitic, Inc.General Electric CompanyImagen Technologies, Inc.Infervision Medical Technology Co. Ltd.Konica Minolta, Inc.Lunit, Inc.Quibim, S.L.Qure.ai Technologies Pvt. Ltd.Siemens Healthineers AGVuno Co., Ltd.Zebra Medical Vision, Inc.
Press Release :
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. BIS Research study indicates that the global AI-enabled X-Ray imaging solutions market has witnessed significant growth in the past ten years, owing to expanding applications of AI in radiology. Furthermore, due to the shortage of the healthcare workforce and increasing complexities of clinical decision-making, the adoption of AI in X-Ray imaging solutions is expected to grow in the upcoming years.To emphasize the impact of COVID-19 on the global AI-Enabled X-Ray imaging solutions market, Aditya Singh, Senior Analyst – BIS Research, states, ""The COVID-19 pandemic increased the use of the 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 the 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. Apart from the accelerated growth of the AI-enabled X-Ray imaging solutions due to the COVID-19 pandemic, the market will witness an increase in the number of scans due to the increasing population and prevalence of diseases on a global level.""Key companies operating in the marketLeading companies, market participants, and solution providers 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.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.How can market intelligence on AI-enabled X-Ray imaging solutions market add value to your business’s decision-making process?• Aid in product development.• Aid in understanding the regulatory scenario of the market in different regions.• Help in targeting a segment for launching a new product.• Aid in understanding the market potential of different opportunities available within a segment.• Support in analyzing the market opportunities.• Insights on the key companies in the market.Scope of the Global AI-Enabled X-Ray Imaging Solutions Market Report:• Global trend• COVID-19 impact analysis • Available offerings, and segments and respective sub-divisions influencing the market • Study of more than 80 products present in the market.• Detailed competitive landscape• Detailed market share and growth share analysis• Study data of over 10 countries• Growth factors• Market challenges / restraints• Detailed market segmentationMarket Segmentation• Product Type: Software and hardware are the products covered under the AI-enabled X-Ray imaging solutions market on the basis of product type. 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.• Application: Different types of imaging being performed are covered under AI-enabled X-Ray imaging solutions on the basis of therapeutic application. The general imaging segment is expected to grow at the highest CAGR of 22.3% during the forecast period 2021-2031. Revenue generated by the specialty imaging segment accounted for approximately 81.2% of the overall market revenue in 2020.• Workflow: Different tasks being performed in radiology such as detection, image acquisition, image analysis, diagnosis and treatment decision support, triage, predictive analysis and risk assessment, and reporting and communication. The detection segment held the maximum share in the global AI-enabled X-Ray imaging solutions market in 2020.• Mode of Deployment: Cloud-based and web-based solutions, and on-premises solutions are the mode of deployment. The cloud-based and web-based solutions segment held the maximum share in the global AI-enabled X-Ray imaging solutions market in 2020. • Regions: North America, Europe, Asia-Pacific, and Rest-of-the-World. Revenues generated by the U.S. accounted for 49.7% of the global AI-enabled X-Ray imaging solutions market revenue in 2020, which was the largest market share in terms of revenue compared to other countries for 2020. The U.S. is expected to remain in the leading position during the forecast period 2021-2031. The U.S. was followed by China, U.K., Germany, and Canada.Key Questions Answered:• 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?• 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?
Headline :
Global AI-Enabled X-Ray Imaging Solutions Market to Reach $639.7 Million by 2031
Table of Contents :
1 Market Scope1.1 Scope of the Study1.2 Market Segmentation1.3 Key Questions Answered2 Research Methodology2.1 Data Collection and Analysis2.2 Data Sources2.2.1 Primary Data Sources2.2.2 Secondary Data Sources2.2.3 Data Sources and Categorization2.2.4 Data Triangulation2.2.5 Estimation and Forecasting Methodology3 Global AI-Enabled X-Ray Imaging Solutions Market3.1 Parent Market Outlook3.2 Market Size and Forecast3.3 Limitations and Assumptions3.4 Key Findings4 Industry Insights4.1 Industry Ecosystem4.2 Regulatory Framework4.2.1 U.S.4.2.1.1 Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms4.2.1.2 Restraints in Current Regulatory Process for AI/ML-Based Medical Device/Algorithm in the U.S.4.2.2 European Union4.2.2.1 Change in Rules4.2.2.2 New Rules in Annexure VIII4.2.2.3 Implementation of MDR (Major Changes):4.2.2.3.1 Expanded Device Definitions Requiring Re-Examination of the Current Classification of All Devices4.2.2.3.2 Quality Management System4.2.2.3.3 Technical File4.2.2.3.4 New Identification and Traceability (UDI) Requirements4.2.2.3.5 More Emphasis on Post-Market Surveillance4.2.2.3.6 Need for Strengthening the Role of Internal Audits and Mandatory Audits4.2.2.3.7 Dedicated Personnel for MDR compliance4.2.2.3.8 U.K. Exiting the European Union, Post-Brexit4.2.3 Japan4.2.4 China4.2.5 Other Countries4.2.5.1 India4.2.5.2 Latin America4.2.5.3 Middle East and Africa4.2.5.4 Consortiums, Associations, and Regulatory Bodies4.3 Impact of COVID-19 Pandemic4.3.1 Impact on Clinical Decision-Making and Clinical Settings4.3.2 Impact on Manufacturers of AI-Based Medical Imaging Solutions4.3.3 Conclusion5 Competitive Insights5.1 Key Developments and Strategies (Deal Tracking)5.1.1 Collaborative Activities5.1.2 Regulatory Activities5.1.3 Funding Activities5.1.4 New Offerings and Upgradations5.2 Product Benchmarking5.3 Competitor’s Assessment5.3.1 Overview5.3.2 Vuno, Co., Ltd.5.3.3 Zebra Medical Vision, Inc.5.4 Growth Share Analysis5.4.1 by Product Type5.4.2 by Workflow5.4.3 by Mode of Deployment5.4.4 by Application5.4.5 by Region6 Market Dynamics6.1 Overview6.2 Impact Analysis6.3 Market Drivers6.3.1 Expanding Range of Applications6.3.2 Shortage of Healthcare Workforce6.3.3 Increasing Funding Activities6.3.4 Increasing Complexities of Clinical Decision-Making6.4 Market Restraints6.4.1 Privacy and Security Concerns Related to Healthcare Data6.4.2 Lack of Trained Staff6.4.3 Barriers to Physician’s Adoption of AI6.4.4 Regulatory Hurdles6.4.5 Legal Implications of AI Systems6.5 Market Opportunities6.5.1 Rapidly Evolving Machine and Deep Learning Techniques6.5.2 Increasing Number of Cross-Industry Partnerships7 Global AI-Enabled X-Ray Imaging Solutions Market (by Product Type)7.1 Market Overview7.2 Market Size and Forecast7.2.1 Software7.2.1.1 Perpetual Software License7.2.1.2 Subscription Software License7.2.1.3 Fee-Per-Case Software License7.2.2 Hardware8 Global AI-Enabled X-Ray Imaging Solutions Market (by Workflow)8.1 Market Overview8.2 Market Size and Forecast8.2.1 Detection8.2.2 Image Acquisition8.2.3 Image Analysis8.2.4 Diagnosis and Treatment Decision Support8.2.5 Triage8.2.6 Predictive Analysis and Risk Assessment8.2.7 Reporting and Communication9 Global AI-Enabled X-Ray Imaging Solutions Market (by Mode of Deployment)9.1 Market Overview9.2 Market Size and Forecast9.2.1 Cloud-Based and Web-Based Solutions9.2.2 On-Premises Solutions10 Global AI-Enabled X-Ray Imaging Solutions Market (by Application)10.1 Market Overview10.2 Market Size and Forecast10.2.1 General Radiology10.2.2 Specialty Radiology10.2.2.1 Chest10.2.2.2 Musculoskeletal10.2.2.3 Fluoroscopy10.2.2.4 Others11 Global AI-Enabled X-Ray Imaging Solutions Market (by Region)11.1 Market Overview11.2 North America11.2.1 Market Footprint11.2.2 Market Size and Forecast11.2.2.1 U.S.11.2.2.2 Canada11.3 Europe11.3.1 Market Footprint11.3.2 Regional Market Dynamics11.3.3 Market Size and Forecast11.3.3.1 U.K.11.3.3.2 Germany11.3.3.3 France11.3.3.4 Spain11.3.3.5 Italy11.3.3.6 Rest-of-Europe11.4 Asia-Pacific11.4.1 Market Footprint11.4.2 Market Size and Forecast11.4.2.1 China11.4.2.2 Japan11.4.2.3 Australia and New Zealand11.4.2.4 Rest-of-Asia Pacific11.5 Rest-of-the-World11.5.1 Market Footprint12 Company Profiles12.1 Overview12.2 Competitor Snapshot12.3 Agfa-Gevaert NV12.3.1 Company Outlook12.3.2 Role of the Company12.3.3 Product Offerings12.3.4 Financials12.3.5 Competitive Position12.3.5.1 Strengths of the Company12.3.5.2 Weakness of the Company12.4 Arterys, Inc.12.4.1 Company Outlook12.4.2 Role of the Company12.4.3 Product Offerings12.4.4 Competitive Position12.4.4.1 Strengths of the Company12.4.4.2 Weakness of the Company12.5 Behold.AI Technologies Limited12.5.1 Company Outlook12.5.2 Role of the Company12.5.3 Product Offerings12.5.4 Competitive Position12.5.4.1 Strengths of the Company12.5.4.2 Weakness of the Company12.6 Carestream Health, Inc.12.6.1 Company Outlook12.6.2 Role of the Company12.6.3 Product Offerings12.6.4 Competitive Position12.6.4.1 Strength of the Company12.6.4.2 Weakness of the Company12.7 Enlitic, Inc.12.7.1 Company Outlook12.7.2 Role of the Company12.7.3 Product Offerings12.7.4 Competitive Position12.7.4.1 Strength of the Company12.7.4.2 Weakness of the Company12.8 General Electric Company12.8.1 Company Outlook12.8.2 Role of the Company12.8.3 Product Offerings12.8.4 Financials12.8.5 Competitive Position12.8.5.1 Strengths of the Company12.8.5.2 Weaknesses of the Company12.9 Imagen Technologies, Inc.12.9.1 Company Outlook12.9.2 Role of the Company12.9.3 Product Offerings12.9.4 Competitive Position12.9.4.1 Strength of the Company12.9.4.2 Weakness of the Company12.1 Infervision Medical Technology Co. Ltd.12.10.1 Company Outlook12.10.2 Role of the Company12.10.3 Product Offerings12.10.4 Competitive Position12.10.4.1 Strengths of the Company12.10.4.2 Weakness of the Company12.11 Konica Minolta, Inc.12.11.1 Company Outlook12.11.2 Role of the Company12.11.3 Product Offerings12.11.4 Financials12.11.5 Competitive Position12.11.5.1 Strengths of the Company12.11.5.2 Weaknesses of the Company12.12 Lunit, Inc.12.12.1 Company Outlook12.12.2 Role of the Company12.12.3 Product Offerings12.12.4 Competitive Position12.12.4.1 Strengths of the Company12.12.4.2 Weakness of the Company12.13 Quibim, S.L.12.13.1 Company Outlook12.13.2 Role of the Company12.13.3 Product Offerings12.13.4 Competitive Position12.13.4.1 Strengths of the Company12.13.4.2 Weakness of the Company12.14 Qure.ai Technologies Pvt. Ltd.12.14.1 Company Outlook12.14.2 Role of the Company12.14.3 Product Offerings12.14.4 Competitive Position12.14.4.1 Strengths of the Company12.14.4.2 Weakness of the Company12.15 Siemens Healthineers AG12.15.1 Company Outlook12.15.2 Role of the Company12.15.3 Product Offerings12.15.4 Financials12.15.5 Competitive Position12.15.5.1 Strengths of the Company12.15.5.2 Weaknesses of the Company12.16 Vuno Co., Ltd.12.16.1 Company Outlook12.16.2 Role of the Company12.16.3 Product Offerings12.16.4 Competitive Position12.16.4.1 Strengths of the Company12.16.4.2 Weakness of the Company12.17 Zebra Medical Vision, Inc.12.17.1 Company Outlook12.17.2 Role of the Company12.17.3 Product Offerings12.17.4 Competitive Position12.17.4.1 Strengths of the Company12.17.4.2 Weakness of the CompanyList of Tables Table 1: Market DriversTable 2: Market RestraintsTable 3: List of Associations/Consortiums/Regulatory BodiesTable 4: AI-Enabled Algorithms for X-Ray Imaging SolutionsTable 5: Market DriversTable 6: Market RestraintsTable 7: Competitor SnapshotTable 8: Agfa-Gevaert NV: R&D Investments, $Million, 2018-2020Table 9: General Electric Company: R&D Investments, $Million, 2018-2020Table 10: Konica Minolta, Inc.: R&D Investments, $Million, 2019-2021Table 11: Siemens Healthineers AG: R&D Investments, $Million, 2018-2020List of Figures Figure 1: Artificial Intelligence Methods in Medical ImagingFigure 2: Applications and Advantages of AI-Enabled X-RaysFigure 3: Share of Key Developments and Strategies, January 2018-August 2021Figure 4: Global AI-Enabled X-Ray Imaging Solutions Market Potential, $Million, 2020-2031Figure 5: Global AI-Enabled X-Ray Imaging Solutions Market Share (Product Type), 2020 and 2031Figure 6: Global AI-Enabled X-Ray Imaging Solutions Market Share (by Workflow), 2020 and 2031Figure 7: Global AI-Enabled Medical Imaging Solutions Market Share (Application), 2020 and 2031Figure 8: Global AI-Enabled X-Ray Imaging Solutions Market Share (Mode of Deployment), 2020 and 2031Figure 9: Global AI-Enabled X-Ray Imaging Solutions Market Regional Snapshot, 2020 and 2031Figure 10: Market SegmentationFigure 11: Market Segmentation (by Region)Figure 12: Research MethodologyFigure 13: Primary ResearchFigure 14: Secondary ResearchFigure 15: Data TriangulationFigure 16: Global AI-Enabled Medical Imaging Solutions Market, $Million, 2020-2031Figure 17: Global AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 18: Industry StructureFigure 19: Regulatory Process for Medical Devices in the U.S.Figure 20: MDR Transitional ProvisionsFigure 21: MDR TimelineFigure 22: Key Developments and Strategies (by Category), January 2018-August 2021Figure 23: Key Developments and Strategies (by Year), January 2018-August 2021Figure 24: Collaborative Activities (by Company), January 2018-August 2021Figure 25: Regulatory Activities (by Company), January 2018-August 2021Figure 26: Total Funding in the Market, $Million, 2005-2021Figure 27: New Offerings and Upgradations (by Year), January 2018-August 2021Figure 28: VUNO Inc. Product OfferingsFigure 29: Accuracy: BoneAge vs. PhysicianFigure 30: Time: BoneAge vs. PhysicianFigure 31: Zebra Medical Vision, Inc. Product OfferingsFigure 32: Algorithm-Radiologists Agreement as Compared to the Inter-Radiologists Agreement when the Algorithm Results are not ShownFigure 33: Algorithm-Radiologists Agreement as Compared to the Inter-Radiologists Agreement when the Algorithm Results are ShownFigure 34: Growth Share Matrix (by Product), 2020-2031Figure 35: Growth Share Matrix (by Workflow), 2020-2031Figure 36: Growth Share Matrix: (by Mode of Deployment), 2020-2031Figure 37: Growth Share Matrix (by Application), 2020-2031Figure 38: Growth Share Matrix (by Region), 2020-2031Figure 39: Top 10 Funding in the Market (by Company)Figure 40: Global AI-Enabled X-Ray Imaging Solutions Market (Product Type), 2020 and 2031Figure 41: Global AI-Enabled X-Ray Imaging Solutions Market (Software), $Million, 2020-2031Figure 42: Global AI-Enabled X-Ray Imaging Solutions Market (Perpetual Software License), $Million, 2020-2031Figure 43: Global AI-Enabled X-Ray Imaging Solutions Market (Subscription Software License), $Million, 2020-2031Figure 44: Global AI-Enabled X-Ray Imaging Solutions Market (Fee-Per-Case Software License), $Million, 2020-2031Figure 45: Global AI-Enabled X-Ray Imaging Solutions Market (Hardware), $Million, 2020-2031Figure 46: Global AI-Enabled X-Ray Imaging Solutions Market (Detection), $Million, 2020-2031Figure 47: Global AI-Enabled X-Ray Imaging Solutions Market (Image Acquisition), $Million, 2020-2031Figure 48: Global AI-Enabled X-Ray Imaging Solutions Market (Image Analysis), $Million, 2020-2031Figure 49: Global AI-Enabled X-Ray Imaging Solutions Market (Diagnosis and Treatment Decision Support), $Million, 2020-2031Figure 50: Global AI-Enabled X-Ray Imaging Solutions Market (Triage), $Million, 2020-2031Figure 51: Global AI-Enabled X-Ray Imaging Solutions Market (Predictive Analysis and Risk Assessment), $Million, 2020-2031Figure 52: Global AI-Enabled X-Ray Imaging Solutions Market (Reporting and Communication), $Million, 2020-2031Figure 53: Global AI-Enabled X-Ray Imaging Solutions Market (Cloud-Based and Web-Based Solutions), $Million, 2020-2031Figure 54: Global AI-Enabled X-Ray Imaging Solutions Market (On-Premises Solutions), $Million, 2020-2031Figure 55: Global AI-Enabled X-Ray Imaging Solutions Market (Application), 2020 and 2031Figure 56: Global AI-Enabled X-Ray Imaging Solutions Market (General Radiology), $Million, 2020-2031Figure 57: Global AI-Enabled X-Ray Imaging Solutions Market (Specialty Radiology), $Million, 2020-2031Figure 58: Global AI-Enabled X-Ray Imaging Solutions Market (Chest), $Million, 2020-2031Figure 59: Global AI-Enabled X-Ray Imaging Solutions Market (Musculoskeletal), $Million, 2020-2031Figure 60: Global AI-Enabled X-Ray Imaging Solutions Market (Fluoroscopy), $Million, 2020-2031Figure 61: Global AI-Enabled X-Ray Imaging Solutions Market (Others), $Million, 2020-2031Figure 62: Global AI-Enabled X-Ray Imaging Solutions Market (by Region), 2020 and 2031Figure 63: North America AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 64: Regional Market DynamicsFigure 65: U.S. AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 66: Canada AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 67: Europe AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 68: U.K. AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 69: Germany AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 70: France AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 71: Spain AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 72: Italy AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 73: Rest-of- Europe AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 74: Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 75: Regional Market DynamicsFigure 76: China AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 77: Japan AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 78: Australia and New Zealand AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 79: Rest-of-Asia-Pacific AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 80: Rest-of-the-World AI-Enabled X-Ray Imaging Solutions Market, $Million, 2020-2031Figure 81: Shares of Key Companies ProfiledFigure 82: Agfa-Gevaert NV: Overall Financials, $Million, 2018-2020Figure 83: Agfa-Gevaert NV: Net Revenue (by Segment), $Million, 2018-2020Figure 84: Agfa-Gevaert NV: Net Revenue (by Region), $Million, 2018-2020Figure 85: General Electric Company: Overall Financials, $Million, 2018-2020Figure 86: General Electric Company: Net Revenue (by Segment) (Healthcare), $Million, 2018-2020Figure 87: General Electric Company: Net Revenue (by Region), $Million, 2018-2020Figure 88: Konica Minolta, Inc.: Overall Financials, $Million, 2019-2021Figure 89: Konica Minolta, Inc.: Net Revenue (by Segment), $Million, 2019-2021Figure 90: Konica Minolta, Inc.: Net Revenue (by Region), $Million, 2018-2020Figure 91: Siemens Healthineers AG: Overall Financials, $Million, 2018-2020Figure 92: Siemens Healthineers AG: Net Revenue (by Segment), $Million, 2018-2020Figure 93: Siemens Healthineers AG: Net Revenue (by Region), $Million, 2018-2020