China's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.55 Bn in 2022 to $11.91 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022-30. The market will be driven by rising demand for healthcare services & a robust startup and innovation ecosystem. The market is segmented by healthcare components & by healthcare applications. Some of the major players include Google Health, Tencent Trusted Doctors & NERVTEX.
China's Artificial Intelligence (AI) in the healthcare market is projected to grow from $0.55 Bn in 2022 to $11.91 Bn by 2030, registering a CAGR of 46.72% during the forecast period of 2022-2030. In 2021, China had 36,570 hospitals, with nearly two-thirds of them privatized. As part of the country's social insurance system, China does provide free public healthcare. The healthcare system serves the majority of the indigenous population as well as foreigners in most cases. According to the global burden of illness report conducted by the US Institute for Health Metrics and Evaluation, strokes are the leading cause of death in China, followed by heart disease, chronic pulmonary disease, and lung cancer. One of the priority areas in China is healthcare. China is also putting a strategic emphasis on AI in healthcare.
To enhance patient outcomes and minimize healthcare costs, hospitals and healthcare organizations in China are implementing AI-powered medical imaging systems, disease detection tools, drug discovery, chatbots, virtual assistants, remote patient monitoring systems, hospital management, and healthcare insurance. XU HUA, Huazhong Univ. of Sci. and Tech Union Shenzhen Hospital in China has been efficiently utilizing AI to improve patient outcomes. The AI in Healthcare market in China is quickly expanding, driven by rising healthcare service demand and the opportunity for AI-powered solutions to alter the healthcare industry.
Market Growth Drivers
Many reasons are driving Artificial Intelligence (AI) in the healthcare market in China, including rising demand for healthcare services, the desire to enhance healthcare outcomes, and the potential of AI-powered solutions to alter the healthcare industry. The Chinese government has also designated AI as a strategic priority and has committed large resources to its research, resulting in a robust startup and innovation ecosystem. Furthermore, Chinese healthcare providers are implementing AI-powered solutions to improve patient outcomes and lower healthcare costs.
Market Restraints
There are few barriers to the growth of the AI in Healthcare industry in China. The lack of regulation and standardization surrounding the development and deployment of AI-powered healthcare solutions is one of the major challenges. There have also been concerns about data privacy and security, especially in light of recent data breaches in the healthcare business. Furthermore, China's rapid development of AI has resulted in a scarcity of experienced people capable of developing and deploying AI-powered solutions. This expertise deficit may impede the development and implementation of AI-powered solutions in the healthcare business. Another impediment to the growth of China's AI in the healthcare industry is the high cost of adopting these technologies. While AI has the potential to lower healthcare expenses in the long term, the initial costs of integrating these technologies can be prohibitive for many healthcare institutions.
Key Players
February 2023, NERVTEX, a Chinese firm focused on developing digital treatments for brain illnesses, has received certification from the China National Medical Products Administration for its AI-powered movement disorder analysis software.
October 2022, Siemens Healthineers heightened its focus on China, separating activities from the greater Asia-Pacific market.
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 is segmented as mentioned below:
By Healthcare Component (Revenue, USD Billion):
By Healthcare Applications (Revenue, USD Billion):
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:
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:
2. Primary Research
To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:
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:
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.
We value your inquiry and offer free customization with every report to fulfil your exact research needs.