Japan Artificial Intelligence in Healthcare Market Report 2022 to 2030

Japan Artificial Intelligence (AI) in Healthcare Market Analysis

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Japan's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.43 Bn in 2022 to $8.72 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022-30. The market will be driven by the country's aging population and it's technologically advanced infrastructure. The market is segmented by healthcare components & by healthcare applications. Some of the major players include GE Healthcare, Hitachi, Ltd & A-Traction.

ID: IN10JPDH003 CATEGORY: Digital Health GEOGRAPHY: Japan AUTHOR: Vidhi Upadhyay

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Japan Artificial Intelligence (AI) in Healthcare Market Executive Summary

Japan's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.43 Bn in 2022 to $8.72 Bn by 2030, registering a CAGR of 45.72% during the forecast period of 2022-30. Japan's healthcare system is distinguished by universal health insurance, which provides excellent health outcomes at a relatively low cost while maintaining equity. All residents of Japan (including foreign nationals with a residence card) are required by law to enrol in a health insurance programme. Japanese people live longer lives than anyone else, possibly due to the country's excellent healthcare system. The system prioritises preventative care over-reactive care, as seen in other healthcare systems. Cancer, heart disease, and cerebrovascular disease (CVD) are the three leading causes of death in Japan.

Japan has advanced in the adoption and utilisation of artificial intelligence (AI) in healthcare. The Japanese government has been actively promoting the development of AI in healthcare, and several public and private initiatives to support the industry's growth have been launched. In Japan, artificial intelligence is being used in a variety of healthcare settings. AI is being used to analyse medical images and aid in the diagnosis of diseases such as cancer. In addition, AI is being used to predict patient outcomes and develop personalised treatment plans, which is critical in a country with an ageing population. As AI evolves and more health professionals engage in the technology, it is likely that the use of AI in healthcare in Japan will expand and improve patient outcomes.

In April 2022, Fujitsu and the Southern Tohoku General Hospital disclosed the beginning of a joint research project with Fujitsu Japan Limited and FCOM CORPORATION on artificial intelligence (AI) technology for the early detection of pancreatic cancer from computed tomography (CT) scans without contrast agent (non-contrast CT scans). The new AI technology was trained using data from 300 anonymized CT images of pancreatic cancer patients provided by the Southern Tohoku General Hospital, and it offers an optimal image analysis method based on the shape of organs and cancer tumours.

japan-artificial-intelligence-in-healthcare-market

Market Dynamics

Market Growth Drivers

The deployment and implementation of Artificial Intelligence (AI) in healthcare in Japan are advanced and well-supported. One of the major drivers of AI adoption is the country's ageing population, which puts increasing demand on the health care system. Japan's technologically advanced infrastructure and highly qualified workforce also help the country develop and implement AI technologies. Furthermore, the Japanese government has actively promoted the development of AI in healthcare, supporting the industry's growth through public and private initiatives.

Market Restraints

There are some constraints to AI adoption in healthcare in Japan. Healthcare providers may face difficulties due to the high cost of creating and deploying AI systems, as well as the complexity of the healthcare system. Japan's regulatory environment is also stringent, making it difficult to implement AI technologies in healthcare settings. Furthermore, concerns about data privacy and security may deter the use of AI in healthcare.

Competitive Landscape

Key Players

IBM Watson Health
GE Healthcare
Philips Healthcare
Siemens Healthineers
NVIDIA Corporation
Fujitsu Limited (JPN)
Hitachi, Ltd. (JPN)
Atonarp (JPN)
Ubie (JPN)
ThinkCyte (JPN)
Hacarus (JPN)
Molcure (JPN)
LPixel (JPN)
A-Traction (JPN)

Notable Insights

February 2023, SenterCare and Nozomi MedAlliance K.K. ("Nozomi") announced an alliance today to bring SenterCare's advanced ageing-at-home-safely technology to the Japanese market. SenterCare, an Israeli company, has developed a system that allows people to age safely at home. To accurately monitor in a personalised manner, the company's comprehensive, adaptive AI-based behavioural monitoring system employs cutting-edge sensor technology and AI-based software analysis.

In October 2022, In Japan, a group led by Hitachi and Microsoft will use AI-assisted cloud services to aid medical diagnosis.

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Artificial Intelligence (AI) in Healthcare Market Segmentation

Artificial Intelligence (AI) in Healthcare Market is segmented as mentioned below:

By Healthcare Component (Revenue, USD Billion):

Software Solutions
Hardware
Services

By Healthcare Applications (Revenue, USD Billion):

Robot-Assisted Suregery
Virtual Assistants
Administrative Workflow Assistants
Connected Machines
Diagnosis
Clinical Trials
Fraud Detection
Cybersecurity
Dosage Error Reduction

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

Analyzing historical proprietary data collected from multiple projects.
Regularly updating our existing data sets with new findings and trends.
Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

Searching through academic conferences, published research, citations, and social media platforms
Collecting and compiling diverse data to build a comprehensive and detailed database
Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
Continuously refreshing our database to ensure that the information remains current and reliable.
Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

Merging historical data from secondary research with real-time data from primary research.
Conducting thorough data validation and cleansing to remove inconsistencies and errors.
Organizing data into a structured format that is easily accessible and usable for various applications.
Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.