APAC Market Statistics
The predictive disease analytics market in APAC is growing rapidly due to increasing healthcare digitization, government support for AI and big data initiatives, and the rising number of chronic disease cases. The region’s large population, combined with a rising focus on preventive healthcare and value-based care, makes it a fertile ground for predictive analytics. The rise of telemedicine and mobile health solutions further accelerates the adoption of these models across the Asia Pacific. For instance, Mobile-health Network Solutions, a telehealth provider in APAC registered a growth of 4.5 times in revenue, from USD 1.5 million to USD 6.7 million, in June 2023.
India predictive disease analytics market is driven majorly by chronic diseases such as hypertension and diabetes. The rapidly growing digital health ecosystem is further accelerating the market growth. Healthcare digitalization initiatives by the local government including the National Digital Health Mission aim to standardize EHRs, providing a foundation for predictive analytics. The increasing use of mHealth applications and wearable devices is also contributing to data generation for productive models in the country.
The predictive disease analytics market in China is driven by its large population, rising healthcare expenditure, and the local government’s Healthy China 2030 initiative. Widespread use of big data and AI, supported by government policies is fostering the China market growth further. Robust infrastructure for genomic research and precision medicine is enabling early detection and prevention of diseases, particularly in cancer care. The push for personalized medicine and smart healthcare solutions continues to be a key trend
North America Market Analysis
The presence of prominent players in the predictive disease analytics market in North America is one of the key driving factors of the region. For instance, in September 2021, Health Choice Network announced a partnership with Epic worth USD 400.0 million, aiming to expand the technology offerings for its providers. It is home to one of the largest advanced healthcare infrastructures globally, with high expenditures, and increasing adoption of technology in healthcare. A significant focus on value-based care and outcomes-driven reimbursement models is pushing healthcare providers and payers to utilize predictive analytics for cost reduction, and better patient management.
The U.S. predictive disease analytics market is robust, fueled by a combination of high demand for personalized medicine, and regulatory support for healthcare innovation. Major healthcare systems and insurers are increasingly using predictive analytics to streamline operations. Furthermore, the push for interoperability among health information systems is enhancing data sharing and collaboration, further driving the adoption across the U.S. healthcare landscape.
Canada predictive disease analytics market is gaining momentum largely due to the government’s commitment to enhancing healthcare quality and efficiency through technology. Initiatives such as Digital Health Strategy aim to leverage data analytics for improved patient care and resource management. Canada’s strong emphasis on research and innovation is facilitating the development of advanced predictive models. Additionally, the integration of predictive analytics into population health initiatives is becoming a significant trend in the country.
Author Credits: Radhika Pawar
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