As India’s healthcare sector is widening with the rise of patients, the need for effective and quick diagnostics is also increasing. As per the IMARC Group, the healthcare cloud computing market of India was valued at USD 1.66 billion in 2024 and is expected to reach USD 4.17 billion by 2033, growing at a CAGR of 10.8 per cent. The rapid transformational growth showcases the shift in the healthcare industry towards the usage of healthcare cloud solutions. Cloud-powered AI tools, powered by GPU cloud for AI training, are enabling advanced diagnostics, electronic health records, and remote patient monitoring access to every part of India.
Why cloud matters for the healthcare industry in India?
Artificial intelligence tools used to monitor and interpret radiology scans, predict disease risk, and inform medical research rely heavily on computing systems and large datasets. Cloud platforms such as hybrid cloud providers offer scalability, flexibility, and regional access that hospitals and research centres require. Cloud services like enterprise-grade cloud services help advance specialised infrastructure. Cloud-enabled AI tools bring accurate diagnostic health records and results.
The health industry specifically tailored public, private, and hybrid cloud solutions presented by BharathCloud provide value in data sovereignty and regional infrastructure. BharathCloud provides its customers with secure, reliable, and cost-effective cloud security services to manage critical data and patient records. It focuses on all factors that impact the diagnostic process or slow down the AI solutions.
“The use of AI and cloud infrastructure is not just about digitalisation; it is about building a system with speed, accuracy, and an overall better experience”. Rahul Takkallapally, Co-founder of BharathCloud, said, “BharathCloud has been actively enhancing the digital healthcare ecosystem for years by building resilient AI-ready infrastructure, meeting compliance, and data sovereignty. We are also committed to building a sustainable digital healthcare system, as healthcare needs to adapt to AI technology responsibly and effectively.
Healthcare use cases enabled by the integration
The way AI combined with cloud technology enhance the healthcare system are several:
Radiology and imaging diagnostics: Hospitals generate many X-rays, CT scans, and MRIs every day, and doctors have to review them manually. It was a time-consuming process, which sometimes led to a delay in diagnosis. Now, with the help of AI models combined with GPU cloud for AI training and BharthAI platforms, health reports can be processed faster with accuracy.
Genomics and drug research: To analyse and compute the crucial processing of the analysis datasets, often containing genetic information, demands computing power. Cloud computing healthcare solutions and GPU cloud make the analysis of genetic sequences faster than traditional methods.
Telemedicine and remote diagnosis: The cloud services back the artificial intelligence that is required to operate the teleconsultation and remote diagnosis. The issues of low-latency, Edge compute and data security are managed by BharathCloud services to perform tasks efficiently.
Data management: For Hospitals, holding patient records in paper is difficult and requires effort to maintain them. Cloud-integrated EHRs backed by community cloud for healthcare give a centralised system to record every patient’s data history with security and precision. It is easy to access and reduces the time and chance of error.
Predictive healthcare with AI models: With AI-driven enterprise cloud services, hospitals can predict disease risk before the symptoms appear. The insights shared by AI models allow doctors to recommend preventive measures early and reduce the serious effects of disease in the future.
These use cases highlight the digital transformation ongoing in the health industry, where technology and healthcare work hand in hand. The blend of cloud computing and AI is moving the healthcare industry towards a safer and more inclusive future
Redefining healthcare infrastructure
India’s digital healthcare revolution does not depend only on AI algorithms, but it also depends on the scalable cloud healthcare applications and supportive infrastructure that fuel the algorithms to perform better. The ability to store, process, and improve performance has made enterprise cloud services effective for healthcare cloud solutions. To manage the demand, many hospitals are stretching their IT system, but the traditional systems reach a breaking point and struggle to handle the large amount of data, backup, and analytics that modern healthcare requires. BharathCloud is solving the issue by combining cloud computing with artificial intelligence to update the ongoing system and research process of the healthcare industry.