The global market of healthcare big data analytics is expected to surge fivefold by 2032 due to the integration of AI, cloud use, and advanced predictive tools.

The global big data analytics in the healthcare market means that it is estimated to grow at a CAGR of 19.2% to reach USD 194.7 billion by 2032 as compared to 39.7 in 2022. This has been compounded by the explosion of healthcare data, a need to work with the data to make it create efficiencies, and AI and machine learning.

Patient care is evolving as big data analytics handle large data on electronic health records, research in biomedicine, and genomics. Deployments in the cloud, which depict a share of 65 percent in 2022, will be preferred due to their scalability and affordability. According to estimates, predictive analytics alone is to reach the USD 13 billion mark by 2032, being used in domains as diverse as fraud detection and operation optimization.

North America is the market leader with a market share of more than 50 percent, but Europe and Asia-Pacific are also displaying high growth due to the upgrading of digital infrastructure and the implementation of AI.

The other big players who are interested in the advantages of cloud-native platforms, such as AI integrations and cybersecurity services, to keep pace with the higher demand, are also IBM, Microsoft, Oracle, and SAS Institute. Among the highlights, Vedanta Aluminium allied with Crave Infotech in hyper-automation, and Aisera raised USD 90 million via its AI and RPA technology.

Nevertheless, healthcare operations will soon be transformed by big data analytics with the help of which hyper-personalized care delivery and opportunities to make real-time decisions are opened. By 2032, its significance in improving patient outcomes and efficiencies will become undeniable.