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2024: Global spending on data analysis software in medicine reached $25.89 billion for the year
At the end of 2024, the volume of the global data analysis software market in medicine amounted to $25.89 billion. For comparison, a year earlier, expenses in the relevant area were estimated at $22.38 billion. Thus, an increase of 15.7% was recorded. Industry trends are addressed in the Fortune Business Insights survey, which Zdrav.Expert reviewed in mid-May 2025.
The authors of the study note that software for data analysis, it is a critical tool for improving patient outcomes and stimulating innovation in the field. health care This ON allows healthcare providers to tailor treatment plans for individual patients based on their medical history, genetic characteristics, lifestyle, etc. The analysis big data can speed up medical research by allowing patterns to be identified as well as evaluating the effectiveness of different combinations of substances. Creating models of the spread of diseases helps in predicting epidemics and developing strategies to combat them.
One of the main drivers of the market is artificial intelligence. AI-based systems are able to analyze huge amounts of medical data with great accuracy, minimizing human error. Generative AI can predict patient outcomes by assessing historical indicators and identifying risk factors. Integrating AI and machine learning into early diagnosis and identification of potential chronic diseases in the population may contribute to improved treatment effectiveness. In addition, AI can take on routine and resource-intensive tasks, reducing the burden on the staff of medical institutions. However, financial analytics help hospitals and other organizations reduce costs and improve cost management.
The development of personalized medicine has a significant impact on the industry. Based on the analysis of the data, the specialized software gives individual recommendations for treatment, including specific drugs, dosage and regimens of administration in accordance with the genetics of each person. In addition, doctors get the opportunity to use proactive patient care, which is especially important in chronic diseases.
But there are also deterrents. The widespread adoption of analytical tools raises concerns about the security of patient information and the possibility of sensitive data leakage. Healthcare facilities also face high costs associated with deploying and operating analytics software.
Depending on the scope, the market is segmented into financial analytics, clinical analytics, operational and administrative analytics, etc. In 2023, the first of the listed areas dominated. At the same time, the clinical analytics segment demonstrates higher growth rates. From a geographical point of view, North America leads, where expenses amounted to $10.65 billion. Globally, the list of leading players includes:
- Merative;
- Health Catalyst;
- Veradigm LLC;
- Oracle;
- Epic Systems Corporation;
- United Healthgroup;
- Flatiron Health (F. Hoffmann-La Roche Ltd.);
- Mckesson.
Fortune Business Insights analysts believe that in the future, the CAGR in the market under consideration will be 24.1%. As a result, by 2032, costs could increase to $145.81 billion. Machine learning and AI will continue to play an important role in the development of the industry during this period.[1]
2017: $11.3 billion market size - ResearchAndMarkets
On August 15, 2018, research company ResearchAndMarkets released some of the results of its research on the market for analytical tools that are used in healthcare.
Sales of the corresponding software on a global scale in 2017 reached $11.3 billion. According to experts, the market in question in the period from 2017 to 2022 will increase in volume by about 24.8% annually and by the end of this period of time will be measured at $34.1 billion.
Depending on the type of technology used, medical analytical tools are descriptive, prescriptive and predictive. Most (about 56%) of the market in 2016 came from descriptive analysis tools, but the highest average annual growth rates between 2017 and 2022 will be demonstrated by the predictive analytics segment.
Depending on the applications of medical analytical products, the researchers identify four segments:
- analysis of clinical data;
- analysis of administrative and operational data;
- analysis of financial information;
- others (these include, among other things, solutions used in research and the study of disease prevalence).
Most of the sales are occupied by financial data analysis tools, the share of which in the total market volume reached approximately 69% in 2016. The second most popular products were products used to analyze information of an administrative and operational nature.
If we talk about the regions, then North America leads, which in 2016 accounted for about 61.2% of the demand for medical analytical products.[2]
ON The following companies are named the largest manufacturers for data analysis in medical institutions at ResearchAndMarkets:
- Cerner Corporation;
- Oracle;
- McKesson;
- IBM;
- Truven Health Analytics;
- Optum;
- MedeAnalytics.
Notes
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