Overview


According to FutureWise analysis the market for AI-Enabled X-Ray Imaging Solutions in 2023 is US$ 0.16 billion, and is expected to reach US$ 0.62 billion by 2031 at a CAGR of 18.40%.

AI-enabled X-ray imaging solutions refer to integrating artificial intelligence (AI) technology into medical imaging, especially X-ray imaging. These solutions leverage machine learning algorithms and deep learning techniques to assist radiologists and healthcare professionals in interpreting and analyzing X-ray images. Radiology is a realm of medical science that uses radiation to generate medical imaging, e.g., X-ray, CT scans, MRI images, and ultrasound to identify abnormalities and tumors in the body. AI algorithms can automatically detect complex regulatory patterns in image data to provide a supportive diagnosis for patients. AI is becoming a significant constituent of many applications, including drug discovery, medical diagnostics and imaging, remote patient monitoring, virtual assistants, risk management, wearables, and hospital administration. Many fields with big data components, such as DNA and RNA sequencing data analysis, are also expected to benefit from AI.

Radiography was the first technique for which computer-aided approaches were developed in medical imaging. In 1963, Lodwick et al. described a coding system for a computer to subsequently determine the significance of imaging features on radiographs for determining lung cancer prognosis. The method of extracting defined features from each radiograph, such as the shape, density, and margin of lesions, paved the way for more sophisticated methods of computer-aided diagnosis in radiography. Since then, deep learning and machine learning method, which often uses neural networks composed of multiple layers to transform input data to outputs, has become the prevailing approach for medical image analysis, including analysis of radiographs.

FutureWise Market Research has published a report that provides an insightful AI-enabled x-ray imaging solutions market trends that are affecting the overall market growth. This report will provide a detailed analysis of market share, regional insights, and competitor analysis that includes stature of key manufacturers operational in this industry.

According to the analysis conducted by FutureWise research analysts, AI-enabled x-ray imaging solutions market is estimated to register a considerable growth rate over the forecast period. This report lists the market segments and potential prospects available across this industry, in addition providing crucial information on the total valuation currently held by the industry. Moreover, this report will assist key management individuals in an organisation to enhance their decisions pertaining to business expansion as well as strategic changes for increasing customer base.

  • 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.

(Note: The list of the major players will be updated with the latest market scenario and trends)

Recent Developments in AI-Enabled X-Ray Imaging Solutions Market:

  • In November 2022, Aidoc received approval from the U.S. FDA for its solution based on CT scans designed for diagnosing aortic dissection and all types of vessel occlusions (VOs).
  • In September 2022, Aidoc collaborated with Sana Klinikum Lichtenberg, which is the largest private hospital network in Germany, encompassing 55 facilities. Through this collaboration, the integration of Aidoc's AI solution for detecting pulmonary embolism (PE) across all Sana Klinikum Lichtenberg facilities.

The increasing prevalence of chronic diseases demanding constant monitoring through imaging techniques, including cardiovascular diseases, cancer, and others, is anticipated to propel the need for imaging solutions that are more efficient and characterized by boosted accuracy. This growing demand for these technologies is crucial in early detection, precise diagnosis, and ongoing examination of chronic conditions, eventually contributing to more effective treatment strategies and improved outcomes. Moreover, integrating AI in biomedical image analysis for disease detection may increase the demand for AI-enabled X-ray imaging solutions. Using the knowledge obtained from various imaging techniques such as CT, X-ray, PET, and ultrasound, AI empowers clinicians with a comprehensive and multi-dimensional view of a patient's condition. This integration enhances diagnostic accuracy and allows early and personalized patient diagnosis and treatment options. This transformative ability serves as a potential driver, promising improved treatment outcomes, streamlined workflows, and more effective healthcare provision. However, the growing occurrence of inaccurate or missed diagnoses due to human fallibility or subjective interpretations is expected to restrain the market growth. Nevertheless, the implementation of such advanced technologies has its own challenges. Challenges arise in ensuring seamless integration with existing healthcare systems and addressing concerns regarding data privacy and regulatory adherence. Moreover, there may be resistance from some healthcare experts who require time to adapt to and trust AI-driven recommendations, potentially slowing down widespread adoption. These limitations necessitate a considerate and measured approach to implementing AI-clinical decision support, stressing the significance of comprehensive training and robust regulatory frameworks. Furthermore, the high cost for healthcare facilities, including the purchase of cutting-edge equipment, software, and training for medical staff, may restrain the market growth during the forecast period. This financial adherence may pose a barrier, particularly for smaller and resource-constrained healthcare facilities, potentially hindering widespread adoption and accessibility of this advanced imaging technology.

By Product Type

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

By Workflow

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

By Mode of Deployment

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

By Application

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

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

This market research report also emphasis on factors affecting the growth rate in various regions listed above. A deep-down analysis of region will also be provided in the final version of this market which is based on conclusion of primary interviews and secondary data point gathered during the process.

By region, the market is segmented into North America, Latin America, Europe, Asia-Pacific, and Middle East & Africa. North America registered highest share in the market in 2022. This is attributed to factors such as the rising adoption of AI-enabled X-ray imaging solutions, advancements in machine learning and AI, the presence of leading providers of AI solutions, the volume and complexity of medical imaging data due to high consumer spending on electronics and a strong demand for home entertainment systems in the United States, is expected to drive the demand for AI-enabled X-ray imaging solutions market. Moreover, the increasing number of strategic collaborations and the expanding scope of application of AI in medical imaging are other major factors contributing to the market growth in North America. For instance, NVIDIA Corporation and the American College of Radiology entered into a partnership to increase the adoption of AI in diagnostic radiology across thousands of hospitals in the region, further propelling the market growth.

  • Tier 1 players-established companies in the market with a major market share
  • Tier 2 players
  • Emerging players which are growing rapidly
  • New Entrants

  • Growth prospects
  • SWOT analysis
  • Key trends
  • Key data-points affecting market growth

  • To provide with an exhaustive analysis on the AI-Enabled X-Ray Imaging Solutions Market By Type, By Technology, By Acquisition Technology, By End User and By Region.
  • To cater comprehensive insights on factors such as drivers, restraints, trends, opportunity, and additionally segmental and regional factors impacting market growth.
  • To evaluate current market trends and forecast micro-markets and the overall market projections which are represented in the format of data-sets and ppt.
  • To predict the market size, in key regions— North America, Europe, Asia Pacific, Latin America and Middle East and Africa. 
  • To provide information on competitors which includes landscape mapping, technological advancements, R&D spending, news concerning strategic alliances, and new product launches

  • We have a flexible delivery model and you can suggest changes in the scope/table of content as per your requirement
  • The customization Mobility Care offered are free of charge with purchase of any license of the report
  • You can directly share your requirements/changes to the current table of content to: sales@futurewiseresearch.com

Table of Contents


  • 1.   Market Introduction
    •   1. Objectives of the Study
        2. Market Definition
        3. Market Scope
         3.1. Years Considered for the Study
         3.2. Market Covered
        4. Currency
        5. Limitations
        6. Stakeholders
  • 2.   Research Methodology
    •   1. Research Data
         1.1. Secondary Data
          1.1.1. Key Data from Secondary Sources
         1.2. Primary Data
          1.2.1. Key Data from Primary Sources
        2. Market Size Estimation
        3. Market Breakdown and Data Triangulation
        4. Assumptions for the Study
  • 3.   Executive Summary
    •   1. Market Outlook
        2. Segment Outlook
        3. Competitive Insights
  • 4.   AI-Enabled X-Ray Imaging Solutions Market Variables, Trends and Scope
    •   1. Market Lineage Outlook
        2. Penetration and Growth Prospect Mapping
        3. Industry Value Chain Analysis
        4. Cost Analysis Breakdown
        5. Technology Overview
        6. Regulatory Framework
         6.1. Reimbursement Framework
         6.2. Standards and Compliances

  • 5.   Market Overview
    •   1. Market Dynamics
         1.1. Market Driver Analysis
          1.1.1. Increasing focus of AI-Enabled X-Ray Imaging Solutions Market Companies on Brand Protection
          1.1.2. Untapped Opportunities in Emerging Regions
         1.2. Market Restraint Analysis
          1.2.1. High Cost Associated with Implementation of Predictive Analysis
         1.3. Industry Challenges
          1.3.1. Presence of Ambiguous Regulatory Framework
  • 6.   AI-Enabled X-Ray Imaging Solutions Market Analysis Tools
    •   1. Industry Analysis - Porter’s
         1.1. Supplier Power
         1.2. Buyer Power
         1.3. Substitution Threat
         1.4. Threat from New Entrants
         1.5. Competitive Rivalry
        2. Pestel Analysis
         2.1. Political Landscape
         2.2. Environmental Landscape
         2.3. Social Landscape
         2.4. Technology Landscape
         2.5. Legal Landscape
        3. Major Deals And Strategic Alliances Analysis
         3.1. Joint Ventures
         3.2. Mergers and Acquisitions
         3.3. Licensing and Partnership
         3.4. Technology Collaborations
         3.5. Strategic Divestments
        4. Market Entry Strategies
        5. Case Studies
  • 7.   AI-Enabled X-Ray Imaging Solutions Market, By Product Type Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Software
         1.1. Perpetual Software License
         1.2. Subscription Software License
         1.3. Fee-Per-Case Software License
        2. Hardware

  • 8.   AI-Enabled X-Ray Imaging Solutions Market, By Workflow Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Detection
        2. Image Acquisition
        3. Image Analysis
        4. Diagnosis and Treatment Decision Support
        5. Triage
        6. Predictive Analysis and Risk Assessment
        7. Reporting and Communication

  • 9.   AI-Enabled X-Ray Imaging Solutions Market, By Mode of Deployment Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Cloud-Based and Web-Based Solutions
        2. On-Premises Solutions

  • 10.   AI-Enabled X-Ray Imaging Solutions Market, By Application Historical Analysis and Forecast 2023-2031 (USD Million)
    •   1. Specialty Radiology
         1.1. Chest
         1.2. Musculoskeletal
         1.3. Fluoroscopy
         1.4. Others
        2. General Radiology

  • 11.   North America AI-Enabled X-Ray Imaging Solutions Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. U.S.A
         2.2. Canada
         2.3. Mexico
        3. Market Size (USD Million) Forecast for North America 2023-2031

  • 12.   Latin America AI-Enabled X-Ray Imaging Solutions Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Brazil
         2.2. Venezuela
         2.3. Argentina
         2.4. Rest of Latin America
        3. Market Size (USD Million) Forecast for Latin America 2023-2031

  • 13.   Europe AI-Enabled X-Ray Imaging Solutions Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Germany
         2.2. U.K
         2.3. France
         2.4. Italy
         2.5. Spain
         2.6. Russia
         2.7. Poland
         2.8. Rest of Europe
        3. Market Size (USD Million) Forecast for Europe 2023-2031

  • 14.   Asia Pacific AI-Enabled X-Ray Imaging Solutions Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. Japan
         2.2. China
         2.3. India
         2.4. Australia and New Zealand
         2.5. ASEAN
         2.6. Rest of Asia Pacific
        3. Market Size (USD Million) Forecast for Asia Pacific 2023-2031

  • 15.   Middle East and Africa AI-Enabled X-Ray Imaging Solutions Market Analysis 2017-2022 and Forecast 2023-2031 (USD Million)
    •   1. Introduction
        2. Historical Market Size (USD Million) Analysis By Country, 2017-2022
         2.1. GCC
         2.2. Israel
         2.3. South Africa
         2.4. Rest of MEA
        3. Market Size (USD Million) Forecast for MEA 2023-2031

  • 16.   Market Share Analysis and Competitive Landscape
    •   1. Global Landscape - Key Players, Revenue and Presence
        2. Global Share Analysis - Key Players (Tier 1, Tier 2, Tier 3)
        3. Global Emerging Companies
        4. North America - Market Share Analysis and Key Regional Players
        5. Europe - Market Share Analysis and Key Regional Players
        6. Asia Pacific - Market Share Analysis and Key Regional Players
        7. Global Key Player - Growth Matrix
  • 17.   Company Profiles (Competition Dashboard, Competitors Deep Dive, Products Offered and Financial Layouts)
    •   1. Agfa-Gevaert NV
         1.1. Company Overview
         1.2. Product Portfolio
         1.3. SWOT Analysis
         1.4. Financial Overview
         1.5. Strategic Overview
        2. Arterys, Inc.
         2.1. Company Overview
         2.2. Product Portfolio
         2.3. SWOT Analysis
         2.4. Financial Overview
         2.5. Strategic Overview
        3. Behold.AI Technologies Limited
         3.1. Company Overview
         3.2. Product Portfolio
         3.3. SWOT Analysis
         3.4. Financial Overview
         3.5. Strategic Overview
        4. Carestream Health, Inc.
         4.1. Company Overview
         4.2. Product Portfolio
         4.3. SWOT Analysis
         4.4. Financial Overview
         4.5. Strategic Overview
        5. Enlitic, Inc.
         5.1. Company Overview
         5.2. Product Portfolio
         5.3. SWOT Analysis
         5.4. Financial Overview
         5.5. Strategic Overview
        6. General Electric Company
         6.1. Company Overview
         6.2. Product Portfolio
         6.3. SWOT Analysis
         6.4. Financial Overview
         6.5. Strategic Overview
        7. Imagen Technologies, Inc.
         7.1. Company Overview
         7.2. Product Portfolio
         7.3. SWOT Analysis
         7.4. Financial Overview
         7.5. Strategic Overview
        8. Infervision Medical Technology Co. Ltd.
         8.1. Company Overview
         8.2. Product Portfolio
         8.3. SWOT Analysis
         8.4. Financial Overview
         8.5. Strategic Overview
        9. Konica Minolta, Inc.
         9.1. Company Overview
         9.2. Product Portfolio
         9.3. SWOT Analysis
         9.4. Financial Overview
         9.5. Strategic Overview
          10. Lunit, Inc.
         10.1. Company Overview
         10.2. Product Portfolio
         10.3. SWOT Analysis
         10.4. Financial Overview
         10.5. Strategic Overview
          11. Quibim, S.L.
         11.1. Company Overview
         11.2. Product Portfolio
         11.3. SWOT Analysis
         11.4. Financial Overview
         11.5. Strategic Overview
          12. Qure.ai Technologies Pvt. Ltd.
         12.1. Company Overview
         12.2. Product Portfolio
         12.3. SWOT Analysis
         12.4. Financial Overview
         12.5. Strategic Overview
        13. Siemens Healthineers AG
         13.1. Company Overview
         13.2. Product Portfolio
         13.3. SWOT Analysis
         13.4. Financial Overview
         13.5. Strategic Overview
             14. Vuno Co., Ltd.
         14.1. Company Overview
         14.2. Product Portfolio
         14.3. SWOT Analysis
         14.4. Financial Overview
         14.5. Strategic Overview
             15. Zebra Medical Vision, Inc.
         15.1. Company Overview
         15.2. Product Portfolio
         15.3. SWOT Analysis
         15.4. Financial Overview
         15.5. Strategic Overview

  • 18.   Pre and Post COVID-19 Impact
    •   1. Positive influence on the healthcare industry
        2. The financial disruption of the manufacturing sector
        3. Impact of COVID-19 on emerging companies
        4. Significant mandates in the healthcare regulations initiated by
                 administrations
        5. The overall economic slowdown of the developing and developed nations

  • 19.   FutureWise SME Key Takeaway Points for Client

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