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Artificial Intelligence (AI) Radiology Tool Global Market Report 2025
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An artificial intelligence (AI) radiology tool is an advanced software application that leverages machine learning algorithms and sophisticated data analysis techniques to aid radiologists in interpreting and diagnosing medical imaging studies. These tools analyze a variety of medical images, such as X-rays, CT scans, MRIs, and ultrasounds, to detect anomalies, identify patterns, and provide quantitative assessments that might be difficult for human radiologists to quickly discern. The primary goal of AI radiology tools is to enhance the precision, efficiency, and speed of medical image interpretation, resulting in improved patient outcomes and reduced healthcare costs.

The main types of AI radiology tools are diagnostic radiology and interventional radiology. Diagnostic radiology is a medical specialty that uses various imaging techniques to diagnose and monitor diseases and injuries within the body. The different applications of these tools include eye care, oncology, radiology, cardiovascular care, pathology, and others, used by clinics, hospitals, diagnostic centers, and other end-users.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the healthcare sector, especially in the supply of essential medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are grappling with higher costs for imported surgical tools, imaging systems, and consumables like syringes and catheters, many of which have limited domestic substitutes. These escalating expenses are putting pressure on healthcare budgets, prompting some providers to delay equipment upgrades or pass increased costs on to patients. Furthermore, tariffs on raw materials and components are disrupting the manufacturing of vital drugs and devices, leading to supply chain delays. In response, the industry is adopting diversified sourcing strategies, expanding local production where feasible, and pushing for tariff exemptions on critical medical products.

The artificial intelligence (AI) radiology tool market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) radiology tool market statistics, including the artificial intelligence (AI) radiology tool industry global market size, regional shares, competitors with artificial intelligence (AI) radiology tool market share, detailed artificial intelligence (AI) radiology tool market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) radiology tool industry. These artificial intelligence (AI) radiology tool market research reports deliver a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) radiology tool market size has grown rapidly in recent years. It will grow from $1.48 billion in 2024 to $1.74 billion in 2025 at a compound annual growth rate (CAGR) of 17.4%. The growth in the historic period can be attributed to governmental support, AI is integrated into radiology tools to increase accuracy and reduce error percentage, increasing shift toward personalized and precision medicine, application of artificial intelligence (AI) to medical imaging, and improvement in diagnostic accuracy and efficiency.

The artificial intelligence (AI) radiology tool market size is expected to see rapid growth in the next few years. It will grow to $3.24 billion in 2029 at a compound annual growth rate (CAGR) of 16.8%. The growth in the forecast period can be attributed to increasing demand for efficient diagnostic solutions, growing demand for accurate and precise diagnostics results, growth of the technological infrastructure, increasing imaging volumes, and increasing adoption of artificial intelligence (AI) technology. Major trends in the forecast period include technological advancements in artificial intelligence, expansion of ai integration in healthcare systems, rising adoption of telemedicine and remote imaging, proactive medical approach, and increasing demand for efficient diagnostic solutions.

The forecast of 16.8% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff escalations are likely to burden U.S. diagnostic imaging by driving up the cost of Artificial intelligence(AI)-assisted lesion detection software and radiology workflow automation systems sourced from the Netherlands and France, exacerbating radiologist workloads and increasing imaging department costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing emphasis on personalized medicine is expected to drive the growth of the artificial intelligence (AI) radiology tool market in the future. Personalized medicine, also known as precision medicine, is an innovative approach that customizes treatment and healthcare strategies based on the individual characteristics of each patient. This shift toward personalized medicine is fueled by significant advancements in genomics and molecular biology. AI radiology tools enhance personalized medicine by offering precise diagnostics, predictive analytics, real-time treatment response monitoring, integration with genomic data, and improved patient stratification. These tools enable individualized and effective healthcare interventions. For example, in February 2024, the Personalized Medicine Coalition, a US-based non-profit organization, reported that the FDA approved 16 novel personalized therapies for patients with rare diseases in 2023, compared to six in 2022. Therefore, the increasing shift toward personalized medicine is driving the AI radiology tool market.

Major companies in the AI radiology tool market are focusing on developing advanced solutions, such as AI platforms, to enhance radiologists' diagnostic capabilities. These advanced AI platforms integrate algorithms to analyze medical imaging data, providing radiologists with enhanced insights and aiding in the accurate detection and diagnosis of various medical conditions. For instance, in November 2023, Radiology Partners (RP), a US-based radiology practice company, launched RPX AI, a cloud-based advanced AI platform for rapidly deploying AI medical imaging tools at scale using Amazon Web Services (AWS) HealthImaging. This platform aims to simplify the integration and implementation process for medical imaging AI models, making them more accessible and efficient for hospitals and health systems.

In April 2024, GE HealthCare, a US-based medical technology company, acquired MIM Software for an undisclosed amount. This acquisition strengthens GE HealthCare's position in the medical imaging market by providing advanced AI-powered imaging analysis and workflow solutions, enhancing its ability to deliver precision care and improve patient outcomes. MIM Software Inc. is a US-based software company that provides AI-driven medical imaging solutions for radiology and radiation oncology.

Major companies operating in the artificial intelligence (AI) radiology tool market are Google LLC, Samsung Electronics Co. Ltd, Microsoft Corporation, Intel Corporation, International Business Machines Corp., NVIDIA Corporation, Siemens Healthcare Private Limited, Koninklijke Philips N.V., GE HealthCare, Nuance Communications Inc., Aidoc Medical, OXOS Medical, Subtle Medical Inc., Enlitic Inc., Arterys Inc., Aidence.com, Oxipit.ai, Zebra Medical Vision, CellmatiQ GmbH, Azmed

North America was the largest region in the artificial intelligence (AI) radiology tool market in 2024. The regions covered in the artificial intelligence (AI) radiology tool market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) radiology tool market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) radiology tool market consists of revenues earned by entities by providing services such as, diagnostic imaging services, cloud-based solutions and data management, and workflow optimization and automation. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) radiology tool market also includes sales of high-resolution imaging equipment, graphics processing units (GPUs), and medical image acquisition devices. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Radiology Tool Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) radiology tool market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) radiology tool ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) radiology tool market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Radiology Tool Market Characteristics

3. Artificial Intelligence (AI) Radiology Tool Market Trends And Strategies

4. Artificial Intelligence (AI) Radiology Tool Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) Radiology Tool Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) Radiology Tool Market Segmentation

7. Artificial Intelligence (AI) Radiology Tool Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) Radiology Tool Market

9. China Artificial Intelligence (AI) Radiology Tool Market

10. India Artificial Intelligence (AI) Radiology Tool Market

11. Japan Artificial Intelligence (AI) Radiology Tool Market

12. Australia Artificial Intelligence (AI) Radiology Tool Market

13. Indonesia Artificial Intelligence (AI) Radiology Tool Market

14. South Korea Artificial Intelligence (AI) Radiology Tool Market

15. Western Europe Artificial Intelligence (AI) Radiology Tool Market

16. UK Artificial Intelligence (AI) Radiology Tool Market

17. Germany Artificial Intelligence (AI) Radiology Tool Market

18. France Artificial Intelligence (AI) Radiology Tool Market

19. Italy Artificial Intelligence (AI) Radiology Tool Market

20. Spain Artificial Intelligence (AI) Radiology Tool Market

21. Eastern Europe Artificial Intelligence (AI) Radiology Tool Market

22. Russia Artificial Intelligence (AI) Radiology Tool Market

23. North America Artificial Intelligence (AI) Radiology Tool Market

24. USA Artificial Intelligence (AI) Radiology Tool Market

25. Canada Artificial Intelligence (AI) Radiology Tool Market

26. South America Artificial Intelligence (AI) Radiology Tool Market

27. Brazil Artificial Intelligence (AI) Radiology Tool Market

28. Middle East Artificial Intelligence (AI) Radiology Tool Market

29. Africa Artificial Intelligence (AI) Radiology Tool Market

30. Artificial Intelligence (AI) Radiology Tool Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) Radiology Tool Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) Radiology Tool Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Radiology Tool Market

34. Recent Developments In The Artificial Intelligence (AI) Radiology Tool Market

35. Artificial Intelligence (AI) Radiology Tool Market High Potential Countries, Segments and Strategies

36. Appendix

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