No.3979
Medical Information Peripheral Market in Japan: Key Research Findings 2025
The Medical Information Peripheral Market is Expected to Grow to 18.09 Billion Yen in FY2025, and 47.54 Billion yen by FY2030, Which is 2.6 Times Larger
Yano Research Institute (the President, Takashi Mizukoshi) conducted a survey of the medical information peripheral market in Japan. The survey revealed the status and challenges, trends of market players, and outlook. This paper discloses the size of the medical information peripheral market.
Market Overview
The segment of peripheral systems and services for medical information systems that uses receipt or DPC data, which encompasses DPC analytic tools and medical big data businesses, has long experienced market formation. This market has entered a period of late growth and maturity.
Meanwhile, due to the spread of electronic medical records (EMRs), a market is emerging for utilizing EMR data. This segment includes tools for hospital bed management and vital data transfer, personal health records (PHRs), and medical big data businesses that use EMR data. Additionally, due to the development of generative AI, new market entrants have emerged since the end of FY2024, which include voice AI that supports EMR data input, as well as medical document drafting AI that creates various medical documents by using EMR data.
Based on the sales of businesses, the total size of the medical information peripheral market, which comprises six markets of voice AI, vital data transfer tool, medical document drafting AI, hospital business operations analytics tools, PHR, and EMR-based healthcare big data, is forecast to reach 18.09 billion yen in FY2025. Hospital business operations analytics tools account for the majority at 54.3% of the market since this segment has many subsegments that have already entered the mature period, such as DPC analytic tools.
Noteworthy Topics
Generative AI Tools for Hospitals See Ongoing Market Formation, With Increasing Number of Market Entrants
Since the end of FY2024, the development of generative AI has led to various market entries, including voice AI to support the input of EMR data, as well as medical document drafting AI to create various medical documents using EMR data. As of the end of FY2025, the number of medical institutions adopting these AIs is expected to remain below several hundred. However, adoption is expected to expand rapidly to over one thousand facilities within a few years.
Future Outlook
The medical information peripheral market is expected to reach 47.54 billion yen by FY2030, which is 2.6 times larger than its size in FY2025. This growth is driven by the high expected growth rates in many market segments and the progression of the EMR-based healthcare big data market.
Many segments are currently experiencing growth, particularly generative AI for hospitals and EMR-based healthcare big data.
Research Outline
2.Research Object： Vendors of peripheral technologies for medical information
3.Research Methogology： Face-to-face interviews (including online interviews) by specialized researchers, and literature research
What is the Medical Information Peripheral Market?
In this research, peripheral systems and services for medical information systems (i.e., core systems such as electronic medical records and departmental systems) are first categorized into two types: those that support data input and those that support data output (utilization of data). They are further categorized into the following six markets.
Data input section: Tools to support data input into medical information systems, including electronic medical records (EMRs):
1. Voice AI
2. Vital data transfer tools
Data output section: Tools and services that utilize data from medical information systems such as electronic medical record data and receipt data:
3. Medical document drafting AI
4. Hospital business operations analytics tools
5. PHR (personal health records)
6. EMR-based healthcare big data
*) The respective market size for voice AI, vital data transfer tools, medical document drafting AI, hospital business operations analytics tools were calculated based on those intended for hospitals. The market size for PHRs was calculated based on those intended for hospital and medical checkup facilities.
*) In this research, hospital business operations analytics tools essentially indicate diagnosis procedure combination (DPC) analytics tools, medical data warehouse (DWH), and other hospital business operations analytics tools, such as cost accounting tools, hospital bed management tools, surgical schedule optimization (operating room management) tools, and facility standards management tools.
*) The market for EMR-based healthcare big data includes businesses that utilize EMR data. Those businesses that use only receipt data or DPC data are not included.
＜Products and Services in the Market＞
Voice AI, vital data transfer tools, medical document drafting AI, hospital business operations analytics tools, PHR, and EMR-based healthcare big dat
Published Report
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