How Big is the Medical Terminology Software Market?
The Global Medical Terminology Software Market size was valued at around USD 1.3 billion in 2023 & is estimated to grow at a CAGR of around 17.44% during the forecast period, i.e., 2024-30. The market size of Global Medical Terminology Software is expected to reach USD 4.7 billion by 2030. The market growth has been attributed to the various governments’ initiatives encouraging the adoption of healthcare information technology (HCIT) across the globe.
Market Statistics
- Market Size in 2023: USD 1.3 billion
- Market Size By 2030: USD 4.7 billion
- Market Growth Rate (CAGR): 17.44% from 2024-2030
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Medical Terminology Software Market Insight:
Driver-
Increasing Necessity to Reduce Medical Errors to Improve Patient Lives – The market growth is due to the occurrence of medical errors across various hospitals worldwide due to poor handling or mismanagement of patient healthcare data. This directly affects the lives of patients, causing delayed diagnosis, misdiagnosis, patient misidentification, etc. For instance, the World Health Organization stated in 2023 that globally, 1 in every 10 patients is harmed in healthcare, with patient misidentification, diagnostic errors, and others being the sources of patient harm. On average, around 0.8 million Americans are the victims of diagnostic errors every year, and this number is considerably higher in emerging countries. This thereby necessitates the adoption of medical terminology software to organize patient data, minimize medical errors, and store extensive healthcare information, eventually benefiting the patients.
Further, in countries with higher populations like India, China, the United States, etc., the adoption of medical terminology software becomes more important as higher density causes the spread of diseases at a faster rate, ultimately increasing the number of patients in hospitals and other medical facilities. Here, it becomes necessary to give a proper diagnosis without making a mistake in the whole treatment process. With that, the demand for medical terminology software increases, propelling the overall market growth for the same.
Medical Terminology Software Market Segmentation:
The report has segmented the market into the following categories:
By Product and Services
- Services- Market Size & Forecast 2019-2030, USD Million
- Platforms- Market Size & Forecast 2019-2030, USD Million
By Application
- Data Aggregation - Market Size & Forecast 2019-2030, USD Million
- Reimbursement- Market Size & Forecast 2019-2030, USD Million
- Public Health Surveillance- Market Size & Forecast 2019-2030, USD Million
- Data Integration- Market Size & Forecast 2019-2030, USD Million
- Decision Support- Market Size & Forecast 2019-2030, USD Million
- Clinical Trials- Market Size & Forecast 2019-2030, USD Million
- Quality Reporting- Market Size & Forecast 2019-2030, USD Million
- Clinical Guidelines- Market Size & Forecast 2019-2030, USD Million
By End-User
- Healthcare Providers- Market Size & Forecast 2019-2030, USD Million
- Healthcare Payers- Market Size & Forecast 2019-2030, USD Million
- Healthcare IT Vendors- Market Size & Forecast 2019-2030, USD Million
- Others (Pharmaceutical Companies, Medical Students, etc.)- Market Size & Forecast 2019-2030, USD Million
By Region
- North America
- South America
- Europe
- The Middle East & Africa
- Asia-Pacific
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Competitive Landscape:
- 3M
- Clinical Architecture
- Apelon
- B2i Healthcare
- Intelligent Medical Objects, Inc.
- Wolters Kluwer
- Carecom
- Bitac
- Hivework
- BT Clinical Computing
- Medicomp Systems, Inc.
The report offers an in-depth examination of the competitive landscape. It includes a thorough competitive analysis encompassing market structure, key player positioning, leading strategies for success, a competitive dashboard, and a company evaluation quadrant.
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Key Highlights of the Report:
- Market Performance (2024-2030)
- Strategic Recommendations
- Current, Historical and Future Market Trends
- Market Drivers and Leading Competitor
- SWOT Analysis
- Structure of the Market
- Comprehensive Mapping and Recent Advancement
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