Market insights:
The healthcare analytics market was valued at INR 19.85 Bn in 2020. It is expected to reach INR 87.26 Bn by 2026, expanding at a compound annual growth rate (CAGR) of ~28.74% during the 2021 – 2026 period. Both indigenous and global companies develop analytical solutions for healthcare. The surge in adoption of these solutions propel market growth. The government, healthcare providers, and pharmaceutical companies are the major end users. Medical data analytics is expected to reduce the patient death rate by using focused tools for diagnosis and planning out proper treatment procedures.

Analytics use cases in healthcare:

Healthcare providers and pharmacies use analytics for various purposes such as training, research, and detection, diagnosis, and treatment of illness. These applications are carried out with the help of three types of analytics – descriptive, predictive, and prescriptive. Descriptive analytics is used to determine contagious levels of COVID-19 by examining the rate of positive test results in a specific population.

COVID-19 impact analysis:
In the wake of the pandemic, healthcare providers, professionals, and researchers employ artificial intelligence (AI), machine learning, and natural language processing to track, contain, and gain a comprehensive understanding of COVID-19. AI is used to predict the severity of the disease and identify at-risk populations. It is also utilized for detecting body temperature, contact tracing, and further investigation through mobile-based applications to determine infection levels. Analytics also help in efficiently monitoring violations of COVID-19 protocols and enforcing social distancing. Data collected with the help of analytics from various sources assist in predicting future trends of disease spread and infection rate, understanding the existing situations, and making several medical decisions to control the pandemic.

Speech Analytics Market: By Component (Solution and Services); By Organization Size (Large Enterprises, and Small and Medium-sized Enterprises (SMEs)); By Deployment (On-premise and Cloud); By Vertical (BFSI, Telecommunications, Healthcare, Retail, Government, Travel and Hospitality and Others); and Region – Analysis of Market Size, Share & Trends for 2014 – 2019 and Forecasts to 2030

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