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India's startup ecosystem has shifted from a small set of technology clusters shaped by post-liberalisation software capabilities and transnational networks into a large, policy-recognised entrepreneurial system spanning finance, digital platforms, incubation, public procurement and emerging deep-technology sectors. This critical narrative review examines how policy, innovation and socio-economic change have interacted in that evolution, while distinguishing ecosystem scale from demonstrated economic additionality. Literature published from 1 January 1991 to 15 June 2026 was identified through multidisciplinary and economics-oriented scholarly sources, supplemented by Indian institutional materials and citation searching. Evidence was appraised for design quality, representativeness, causal identification, measurement validity and consistency across settings. The synthesis identifies five linked transitions: the formation of metropolitan technology clusters; the institutionalisation of venture capital and startup support; the consolidation of Startup India as a national policy architecture; the rise of digital public infrastructure, FinTech and science-based ventures; and the growing emphasis on inclusion, regional diffusion and deep-technology commercialisation. The strongest evidence supports the conclusion that India's ecosystem has become denser, more connected and more institutionally supported, with wider access to formal recognition, incubators, public capital instruments and innovation networks. Evidence is weaker on whether these changes have caused durable productivity growth, high-quality net employment, equitable capital allocation or sustained venture survival. Administrative counts of recognised startups, reported jobs, patents and supported firms are useful indicators of programme reach but cannot by themselves establish causal socio-economic transformation. Persistent tensions include metropolitan concentration despite national diffusion, patenting without assured commercialisation, financing growth without clear additionality, and greater formal female participation without evidence of equal ownership or investment outcomes. Future research should prioritise longitudinal linked administrative data, quasi-experimental policy evaluation, spatial and gender-sensitive capital analysis, and cohort studies of deep-technology commercialisation. India's next ecosystem phase is therefore likely to depend less on maximising startup counts than on improving survival, innovation quality, productive scaling and inclusive value creation.