The ai-enabled x-ray imaging solutions global market report 2024from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
AI-Enabled X-Ray Imaging Solutions Market, 2024report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size – The AI-enabled X-ray imaging solutions market size has grown rapidly in recent years. It will grow from $1.92 billion in 2023 to $2.17 billion in 2024 at a compound annual growth rate (CAGR) of 12.8%. The growth in the historic period can be attributed to regulatory approvals, a rise in healthcare costs, increased demand for diagnostic accuracy, an increased shortage of radiologists, and an aging population.
The AI-enabled X-ray imaging solutions market size is expected to see rapid growth in the next few years. It will grow to $3.54 billion in 2028 at a compound annual growth rate (CAGR) of 13.0%. The growth in the forecast period can be attributed to integration with electronic health records, adoption of value-based care models, expanding applications in telemedicine, the emergence of AI-enabled triage systems, and demand for personalized medicine. Major trends in the forecast period include continued growth in AI-enabled diagnostic accuracy and efficiency, integration of AI with other imaging modalities beyond X-ray, development of AI-driven predictive analytics, and focus on regulatory standards and ethical considerations in AI implementation.
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Scope Of AI-Enabled X-Ray Imaging Solutions Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
AI-Enabled X-Ray Imaging Solutions Market Overview
Market Drivers -The growing demand for personalized medicine is expected to propel the growth of the AI-enabled X-ray imaging solutions market. Personalized medicines, also known as precision medicine, are a category of medical treatments and therapies that are tailored to the specific characteristics of individual patients. The demand for personalized medicine increases because of advancements in genomic research, increased understanding of disease heterogeneity, and technological innovations. Personalized medicine enhances the role of AI-enabled X-ray imaging solutions by customizing healthcare interventions, treatment strategies, and imaging protocols to the individual characteristics and needs of each patient. For instance, in October 2022, according to the Personalized Medicine Coalition (PMC), a US-based organization that promotes the understanding and adoption of personalized medicine, there were more than 75,000 genetic testing products and 300 personalized medicines. Further, in 2023, the FDA (the United States Food and Drug Administration), a US-based federal agency, approved new drugs, of which 38% were personalized medicines. Therefore, the growing demand for personalized medicine is driving the growth of the AI-enabled X-ray imaging solutions market.
Market Trends – Major companies operating in the AI-enabled X-ray imaging solutions market are developing advanced solutions, such as fixed AI-enabled X-ray systems, to improve efficiency with in-room workflows, reduce strain with patient positioning, and ensure robust image quality. This X-ray imaging solution refers to the integration of artificial intelligence (AI) technology into X-ray imaging systems to enhance the analysis, interpretation, and utilization of X-ray images for medical diagnosis and treatment planning. For instance, in August 2022, GE HealthCare Technologies Inc., a US-based medical technology company, launched the Definium 656 HD, a new fixed AI-enabled X-ray system featuring enhanced, artificial intelligence (AI)-driven image processing to facilitate radiology workflows and reduce patient positioning time. The Definium 656 HD system has several features that help to ensure effective image acquisition and lessen the physical difficulties associated with patient posture. The following features, according to GE Healthcare, are included in this list: 3-dimensional camera technology via the Intelligent Workflow Suite of the system, which allows for more consistent image quality and reduces the need for needless repeat X-rays, and a 12-inch touchscreen on the tube head console that makes automated adjustments to in-room workflows.
The AI-enabled X-ray imaging solutions market covered in this report is segmented –
1) By Product: Software, Hardware
2) By Mode Of Deployment: Cloud-Based And Web-Based, On-Premises
3) By Workflow: Detection, Image Acquisition, Image Analysis, Diagnosis And Treatment Decision Support, Triage, Predictive Analysis and Risk Assessment, Reporting And Communication
4) By Application: General Radiology, Specialty Radiology
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Regional Insights – North America was the largest region in the AI-enabled X-ray imaging solutions market in 2023. It is expected to be the fastest-growing region in the forecast period. The regions covered in the aAI-enabled X-ray imaging solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies – Major companies operating in the AI-enabled X-ray imaging solutions market are Samsung Electronics Co. Ltd., General Electric Company, International Business Machines Corporation, Siemens Healthineers AG, Koninklijke Philips N.V., Agfa-Gevaert NV, Carestream Health Inc., Fujifilm Healthcare Americas Corporation, Canon Medical Systems Corporation, Lunit Inc., Infervision Medical Technology Co. Ltd., Behold AI Technologies Limited, DeepTek.ai Inc., Quibim S.L., Enlitic Inc., Thirona BV, Arterys Inc., AI Technologies Limited, Konica Minolta Inc., Vuno Co. Ltd., Zebra Medical Vision Inc., Radiobotics APS, Digitec Innovation Srl, Imagen Technologies Inc.
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