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Global AI-Enabled X-Ray Imaging Solutions Market Size is valued at USD 184.5 Million in 2024 and is predicted to reach USD 978.9 Million by the year 2034 at a 18.3% CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
X-Ray Imaging Solutions have been a crucial part of the healthcare industry across the world over the past decades and they are expected to be crucial aspects over the coming years as well. The increasing digitization of the healthcare industry and rising technological advancements are expected to be prominent factors driving the adoption of AI-Enabled X-Ray Imaging Solutions on a global scale. Increasing demand for technologically advanced products and the rising popularity of AI in the global landscape will also act in favor of AI-Enabled X-Ray Imaging Solutions market growth through 2031.
Increasing demand for better imaging solutions by patients and healthcare professionals is expected to prominently drive AI-Enabled X-Ray Imaging Solutions market growth over the forecast period. The increasing prevalence of chronic diseases, rising geriatric population, and increasing investments in research and development of imaging systems will also propel AI-Enabled X-Ray Imaging Solutions market growth through 2031.
However, the high costs of AI-Enabled X-Ray Imaging Solutions and the lack of skilled professionals to operate the same will have a hindering effect on the global growth potential across the forecast period. Increasing demand for radiology diagnostics will also aid market growth.
The AI-Enabled X-Ray Imaging Solutions market is segmented on the basis of products, mode of deployment, workflow and application. On the basis of products, the market is segmented as software and hardware. Based on mode of deployment, the market is segmented into Cloud-Based and Web-Based Solutions and On-Premises Solutions. By application, the market is segmented into General Radiology and Specialty Radiology. By workflow, the market is segmented into Detection, Image Acquisition, Image Analysis, Diagnosis and Treatment Decision Support, Triage, Predictive Analysis and Risk Assessment, Reporting and Communication.
It is projected that the hardware segment would dominate the market in terms of both revenue and volume share. Increasing demand for new hardware components for advanced AI systems will drive growth in this segment. On the other hand, growing advancements in software technologies will create lucrative opportunities for the software segment over the forecast period.
AI-Enabled X-Ray Imaging Solutions are mainly deployed for diagnostic procedures and are primarily used for the same across the world. This creates a major scope of growth for the detection segment as it is the crucial step in diagnosis and treatment procedures and is the initial step to determine the cause and nature of the ailment. Image acquisition and image analysis services are expected to see high demand as the complexity of these new AI enable images increases with increasing parameters to analyze.
North America accounted for a major market share in the global AI-Enabled X-Ray Imaging Solutions market landscape and is projected to uphold this stance over the forecast period as well. The presence of developed healthcare infrastructure, rapid adoption of advanced technologies, increasing demand for radiology diagnostics procedures, and high healthcare spending potential are anticipated to be significant factors governing the AI-Enabled X-Ray Imaging Solutions market potential in this region over the forecast period. The rising prevalence of cancer and the high availability of AI-Enabled X-Ray Imaging Solutions are other factors that guide AI-Enabled X-Ray Imaging Solution market growth through 2030 in the United States, which is expected to be the major market in this region in the coming years.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 184.5 Million |
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Revenue Forecast In 2034 |
USD 978.9 Million |
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Growth Rate CAGR |
CAGR of 18.3% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Mode of Deployment, By Application, By Workflow |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
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., Other Prominent Players. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI-Enabled X-Ray Imaging Solutions Market Snapshot
Chapter 4. Global AI-Enabled X-Ray Imaging Solutions Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: By Products, Estimates & Trend Analysis
5.1. By Products, & Market Share, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Products:
5.2.1. Software
5.2.1.1. Perpetual Software License
5.2.1.2. Subscription Software License
5.2.1.3. Fee-Per-Case Software License
5.2.2. Hardware
Chapter 6. Market Segmentation 2: By Technology Estimates & Trend Analysis
6.1. By Technology & Market Share, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Technology:
6.2.1. Cloud-Based and Web-Based Solutions
6.2.2. On-Premises Solutions
Chapter 7. Market Segmentation 3: By Applications Estimates & Trend Analysis
7.1. By Applications & Market Share, 2024 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Applications:
7.2.1. General Radiology
7.2.2. Specialty Radiology
7.2.2.1. Chest
7.2.2.2. Musculoskeletal
7.2.2.3. Fluoroscopy
7.2.2.4. Others
Chapter 8. Market Segmentation 4: By Workflow Estimates & Trend Analysis
8.1. By Workflow & Market Share, 2024 & 2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Workflow
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
Chapter 9. AI-Enabled X-Ray Imaging Solutions Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts By Products, 2021-2034
9.1.2. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts By Technology, 2021-2034
9.1.3. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts By Applications, 2021-2034
9.1.4. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2021-2034
9.1.5. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2021-2034
9.2.2. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2021-2034
9.2.3. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2021-2034
9.2.4. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2021-2034
9.2.5. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2021-2034
9.3.2. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2021-2034
9.3.3. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2021-2034
9.3.4. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2021-2034
9.3.5. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2021-2034
9.4. Latin America
9.4.1. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2021-2034
9.4.2. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2021-2034
9.4.3. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2021-2034
9.4.4. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2021-2034
9.4.5. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2021-2034
9.5.2. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2021-2034
9.5.3. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2021-2034
9.5.4. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2021-2034
9.5.5. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Agfa-Gevaert NV
10.2.2. Arterys, Inc
10.2.3. Behold.AI Technologies Limited
10.2.4. Carestream Health, Inc
10.2.5. Enlitic, Inc
10.2.6. General Electric Company
10.2.7. Imagen Technologies, Inc.
10.2.8. Infervision Medical Technology Co. Ltd.
10.2.9. Konica Minolta, Inc.
10.2.10. Lunit, Inc.
10.2.11. Quibim, S.L.
10.2.12. Qure.ai Technologies Pvt. Ltd.
10.2.13. Siemens Healthineers AG
10.2.14. Vuno Co., Ltd.
10.2.15. Zebra Medical Vision, Inc.
10.2.16. Other Prominent Players
By Product-
By Mode of Deplopyment
By Application
By Workflow
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
