Global AI-Enabled X-Ray Imaging Solutions Market

Report ID : 1231 | Published : 2022-06-02 | Pages: | Format: PDF/EXCEL

The market size of the Global AI-Enabled X-Ray Imaging Solutions market in the year 2021 is valued at 114.82 million and is predicted to reach 508.32 million by the year 2030 at a 18.05% CAGR during the forecast period.

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 2028. 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 2028.

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.

Market Segmentation:

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.

Based on product, the hardware segment to see good growth

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.

Detection to be the key workflow

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.

In the region, the North America AI-Enabled X-Ray Imaging Solutions market holds a dominant outlook.

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. 

Competitive Landscape

Players in the AI-Enabled X-Ray Imaging Solutions market are 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.

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, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 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, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 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, 2020& 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 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, 2020& 2030

8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 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, 2019-2030

9.1.2. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts By Technology, 2019-2030

9.1.3. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts By Applications, 2019-2030

9.1.4. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2019-2030

9.1.5. North America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by country, 2019-2030 

9.2. Europe

9.2.1. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2019-2030

9.2.2. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2019-2030

9.2.3. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2019-2030

9.2.4. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2019-2030

9.2.5. Europe AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2019-2030

9.3. Asia Pacific

9.3.1. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2019-2030

9.3.2. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2019-2030

9.3.3. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2019-2030

9.3.4. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2019-2030

9.3.5. Asia Pacific AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2019-2030

9.4. Latin America

9.4.1. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2019-2030

9.4.2. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2019-2030

9.4.3. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2019-2030

9.4.4. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2019-2030

9.4.5. Latin America AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2019-2030

9.5. Middle East & Africa

9.5.1. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Products, 2019-2030

9.5.2. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Technology, 2019-2030

9.5.3. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) By Applications, 2019-2030

9.5.4. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) estimates and forecasts by Workflow, 2019-2030

9.5.5. Middle East & Africa AI-Enabled X-Ray Imaging Solutions Market revenue (US$ Million) by country, 2019-2030

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

Segmentation of AI-Enabled X-Ray Imaging Solutions Market-

By Product-

  • Software
    • Perpetual Software License
    • Subscription Software License
    • Fee-Per-Case Software License
  • Hardware

By Mode of Deplopyment

  • Cloud-Based and Web-Based Solutions
  • On-Premises Solutions

By Application

  • General Radiology
  • Specialty Radiology
    • Chest
    • Musculoskeletal
    • Fluoroscopy
    • Others

By Workflow

  • Detection
  • Image Acquisition
  • Image Analysis
  • Diagnosis and Treatment Decision Support
  • Triage
  • Predictive Analysis and Risk Assessment
  • Reporting and Communication

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and 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:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

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: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

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.

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