India’s health insurance trust gap widens amid structural and operational challenges

Despite increased health awareness during the pandemic, India’s health insurance industry struggles with trust deficits, highlighting deep-seated structural and operational issues that threaten sector growth and consumer confidence.

Despite the rise in health awareness during the pandemic, India’s health insurance market has still not won the level of trust many expected. In an interview with Express Healthcare, an industry executive said the problem is no longer simply awareness, but the gap between what policyholders expect and what they discover when they make a claim. Industry figures cited by Financial Express and Economic Times show overall insurance penetration stayed flat at 3.7% of GDP in FY25, roughly half the global average of 7.3%, even as the sector continues to expand in premium terms. Many customers, meanwhile, still encounter exclusions, sub-limits, co-payments and waiting periods only at claim time, when disappointment can quickly turn into distrust.

That trust gap is made worse by the way Indian health insurance is structured. The interviewee argued that the system remains too heavily tilted towards hospitalisation, even though a large share of healthcare spending happens before a patient reaches a ward. In India, outpatient visits, diagnostics and medicines often come directly out of pocket, which can delay treatment and ultimately push costs higher for both families and insurers. Wider OPD cover, linked with teleconsultations, pharmacy access and chronic disease management, would shift the sector from paying for episodes of illness to managing health risks earlier.

The same logic applies to the growing dependence on group health insurance. Employer-sponsored cover has widened access, but it is tied to jobs and can disappear at retirement, after a move or during a period of unemployment. The executive said insurers and employers should do more to explain that individual cover is a separate safety net, especially for younger buyers who may delay purchase until premiums rise and underwriting becomes stricter. Industry data suggests health insurance coverage has improved sharply in recent years, with one recent estimate putting overall coverage at more than 44% in 2025, up from below 20% in FY18, but that does not remove the need for continuity when group protection ends.

Operational frictions also remain a major obstacle. The interviewee said better outcomes depend on the wider ecosystem, including hospitals, third-party administrators and insurers, all of whom influence underwriting, pre-authorisation and claims settlement. Standardised coding, cleaner clinical documentation and structured training could reduce disputes and speed up payments. That point is echoed by consumer guidance from Moneycontrol and other personal finance outlets, which note that policyholders often run into trouble only when claims are filed and terms such as room rent limits or co-pay clauses suddenly matter. In that sense, better product disclosure is only part of the answer; the rest is execution.

Artificial intelligence may help, but only if the underlying data improves first. The interviewee said insurance records are still fragmented across hospitals, insurers and intermediaries, which weakens the quality of automated decisions. In the near term, AI is likely to be most useful in narrow tasks such as fraud detection, claims triage and document processing. Wider use will depend on stronger data governance, common standards and interoperability, including digital infrastructure such as the Ayushman Bharat Digital Mission. The broader regulatory question is similar: the industry does not necessarily need more control, but it does need more alignment, whether through accreditation, shared pricing benchmarks or clearer quality reporting.

Disclaimer: This article is intended to inform and educate, not to recommend or endorse any financial product, investment or strategy. Please consider your own financial circumstances and seek professional advice where appropriate before making financial decisions.