India sold 1.97 million electric vehicles in FY25 – up 17% year-on-year, with CY2025 crossing a record 2.27 million units. That headline gets passed around a lot. But for early-stage investors focused on deep technology, the more interesting question is: what’s powering those vehicles, and who is building the underlying science?
The numbers across segments tell that story clearly:
The dominant architecture in Indian EVs is the Permanent Magnet Synchronous Motor (PMSM), which relies on rare earth elements (neodymium, dysprosium) sourced almost entirely from China – which controls ~85% of global rare earth processing. China’s recent tightening of export controls has made this a live geopolitical risk.
Alongside motor architecture, the shift to SiC (Silicon Carbide) and GaN (Gallium Nitride) power electronics is reshaping inverter design – offering 3–5% efficiency gains over silicon IGBTs and enabling 800V fast-charging architectures. India has no meaningful domestic SiC manufacturing capability today; that is both a gap and an investment opportunity.
LFP (Lithium Iron Phosphate) dominates Indian EVs today – 3,000–4,000 cycle life, thermal stability, no cobalt. But three transitions are worth watching:
The Indian opportunity here is not at the chemistry frontier (CATL, LG Energy, and Samsung SDI have $20–45B market caps and enormous R&D budgets for that). It is in localised cell manufacturing, cathode/anode material inputs, and the process engineering required to produce consistent cells at Indian cost structures. Log9 Materials raised ~$90.5M total (Series B $40M led by Amara Raja and Petronas Ventures; earlier rounds backed by Exfinity and Sequoia) to build India’s first commercial Li-ion cell line in Bengaluru – and its subsequent struggles are an instructive case study in the gap between lab performance and manufacturing economics.
The BMS manages cell balancing, state-of-charge estimation, thermal control, fault detection, and charging – in real time, across hundreds of cells simultaneously. Poor BMS is the leading cause of EV fires in India. Excellent BMS can extend pack life by 20–30%. The India BMS market is projected to grow from $8.6B in 2025 to $21.4B by 2032.
The next frontier is AI-native BMS – systems that model each cell’s individual degradation curve, predict failures, and dynamically adapt charging profiles. For fleet operators, where battery replacement is a significant OpEx, this creates measurable ROI. Ion Energy (founded 2016) has been building battery analytics and BMS software with deployments across OEMs and fleet operators, building a proprietary data moat in the process.
India’s public charging network grew from 5,151 stations in December 2022 to 29,277 by mid-2025 – a 6x increase in under three years. The India EV Charging Market is projected to grow from $348M in 2024 to $1.65B by 2030 (27.7% CAGR). PM E-Drive has mandated OCPP/OCPI compliance for all new chargers, creating an open infrastructure layer.
The deeptech opportunity is not in deploying hardware – it is in grid-aware charging orchestration, depot management for fleets, and the software that integrates charging networks with renewable energy. Public charger utilisation today sits at just 5–12%; intelligent load matching and cross-network reservation are solvable software problems with real economic value. Exponent Energy has built a proprietary 15-minute full-charge system for commercial EVs – a genuine technical achievement, requiring co-designed cell chemistry, BMS, and charger hardware. ChargeZone is scaling managed charging infrastructure and has emerged as a major network operator.
India’s EV supply chain is dangerously import-dependent – motors, inverters, and battery cells overwhelmingly sourced from China and Taiwan. That is both a strategic risk and an investable opportunity. We back founders building indigenous alternatives at the component level where the engineering is hard and the IP compounds:
The second theme spans the software and compute layer that makes mobility intelligent – from autonomous systems to fleet operations software. We think about this as three interlocking sub-bets: