Underwriting Emerging Risks: Drones, EVs, and Lithium-Ion Battery Storage in India

Indian underwriters have historically relied on decades of loss data and well-established tariff structures to price commercial risks. That model breaks down when the risk category itself is only a few years old. Drones, electric vehicles, and battery energy storage systems are three technology domains where India is scaling rapidly but loss experience is thin, regulatory frameworks are still forming, and the failure modes are materially different from legacy technologies. The traditional underwriting toolkit of proposal forms, surveyor reports, and occupancy-class-based rating simply does not capture the hazards these technologies introduce.

The Directorate General of Civil Aviation registered over 30,000 drones under the Digital Sky Platform by mid-2025. India's EV market crossed 1.5 million units in FY2024-25 under the FAME II and PM E-DRIVE incentive programmes. Grid-scale battery storage is expected to reach 42 GWh of installed capacity by 2030 under the National Framework for Energy Storage. Each of these segments represents a growing premium pool, but also a portfolio concentration risk if underwritten without rigorous hazard analysis. The combined addressable premium across these three categories is estimated to exceed INR 2,000 crore within the next five years as adoption accelerates.

Underwriters who wait for decades of actuarial data before entering these lines will lose first-mover advantage to more agile competitors. Those who rush in without adequate risk engineering will face adverse loss ratios that erode portfolio profitability. The professional middle ground requires structured frameworks that combine engineering judgement, international loss benchmarks, and India-specific regulatory inputs to build defensible pricing for risks with limited domestic claims history.

India's Drone Rules, 2021 and the subsequent Drone (Amendment) Rules, 2024 classify unmanned aerial systems into five weight categories from nano (under 250 grams) to large (above 150 kilograms). The regulatory framework mandates third-party liability insurance for all drones above the nano category, remote pilot licensing, and operational permissions through the Digital Sky Platform. Underwriters must verify that the operator holds a valid type certificate from the Quality Council of India and a remote pilot certificate from a DGCA-approved training organisation.

The primary insurable risks include third-party bodily injury and property damage from mid-air collision or crash, hull damage to the drone itself, payload loss (particularly relevant for agricultural spraying and logistics drones carrying high-value cargo), and data or privacy liability from surveillance-class payloads. Beyond Visual Line of Sight operations, which are being permitted in phases for delivery and infrastructure inspection, introduce substantially higher third-party liability exposure.

Pricing approaches should differentiate by operational profile. A drone conducting agricultural spraying in rural Madhya Pradesh carries a fundamentally different risk profile from one performing warehouse inventory scanning in a confined Bhiwandi logistics park. Factors to weigh include flight hours per annum, operating altitude, payload type and weight, proximity to airports and populated areas, and the operator's documented safety management system. International benchmarks from the London and European drone insurance markets provide useful starting points, adjusted for Indian operational conditions.

Electric vehicle fleet insurance in India is currently priced off the standard motor own-damage and third-party liability framework prescribed by IRDAI. This approach fundamentally underestimates several EV-specific exposures. The lithium-ion battery pack typically represents 35-45% of the vehicle's total cost, yet the battery degradation curve, thermal runaway risk, and specialised repair requirements are not reflected in conventional motor rating factors.

Thermal runaway is the most significant peril specific to EVs. A single cell failure can cascade through the entire battery module within minutes, producing temperatures exceeding 600 degrees Celsius and toxic fluoride gas emissions. Indian fire services have limited experience managing EV battery fires, which require sustained water application for up to 24 hours compared to minutes for conventional vehicle fires. This extended response window increases total loss severity for both the vehicle and surrounding property.

For fleet underwriting, key rating factors should include the battery chemistry (lithium iron phosphate cells are significantly more thermally stable than nickel manganese cobalt variants), the charging infrastructure protocol (fast DC charging accelerates cell degradation and increases thermal stress), the fleet's battery management system specifications and firmware update practices, and whether the operator maintains compliance with AIS 156 and AIS 038 safety standards published by the Automotive Research Association of India. Repair cost data from Indian EV OEMs is still limited, but early claims experience shows that even minor collisions affecting battery enclosure integrity result in total loss declarations at a rate significantly higher than ICE vehicles.

Battery energy storage systems are the backbone of India's renewable integration strategy. The Ministry of Power's Viability Gap Funding scheme for 4,000 MWh of BESS capacity, combined with state-level mandates for renewable energy storage, means that large-scale lithium-ion battery installations are being commissioned across Rajasthan, Gujarat, Tamil Nadu, and Karnataka. From a property underwriting perspective, these facilities present a concentrated fire and explosion exposure that conventional fire policy wordings were not designed to address.

The primary hazard is thermal runaway cascading through battery racks in an enclosed facility. Unlike a conventional warehouse fire where suppression systems can contain the blaze, a BESS thermal event produces its own oxygen through chemical decomposition, rendering traditional CO2 and foam suppression ineffective. Water mist and clean agent systems specifically designed for lithium-ion environments are required but not yet widely installed in Indian BESS facilities. The BIS standard IS 16893 covers safety requirements for lithium-ion cells, but facility-level fire protection standards specific to BESS are still under development.

Underwriters evaluating BESS risks should insist on detailed risk engineering surveys covering cell chemistry, rack spacing, ventilation design, thermal management systems, fire detection (off-gas detection is now considered essential), suppression systems, and physical separation between battery modules and the grid interconnection infrastructure. The maximum probable loss calculation for a BESS facility requires scenario modelling for cascading thermal runaway, which differs fundamentally from standard fire MFL methodologies.

A common thread across drones, EVs, and battery storage is the gap between India's technology deployment pace and its regulatory and standards framework. DGCA's drone regulations are evolving rapidly but enforcement infrastructure is nascent. IRDAI has not yet issued specific product guidelines for drone hull or drone liability insurance, leaving underwriters to adapt existing aviation or general liability wordings. For EVs, the Motor Vehicles Act, 1988 and its associated rules were designed for internal combustion vehicles, and the third-party premium table does not adequately differentiate by battery technology risk.

For BESS facilities, neither the National Building Code nor the Tariff Advisory Committee's fire hazard classifications have been updated to address lithium-ion storage at grid scale. The absence of mandated fire protection standards means that facility developers may cut corners on thermal management and suppression, increasing the underwriter's exposure without a corresponding premium adjustment.

Rather than treating regulatory gaps as reasons to avoid these lines, progressive underwriters can use their risk selection criteria to fill the standards vacuum. Requiring operators to meet international benchmarks like NFPA 855 for BESS installations, FAA Part 107 equivalent training standards for drone pilots, or UN ECE R100 for EV battery safety gives the underwriter a defensible risk selection framework even where Indian regulations have not yet caught up. This approach positions the insurer as a market leader while maintaining underwriting discipline.

The fundamental underwriting challenge for emerging technology risks is the absence of credible Indian loss data. Traditional burning cost methods require a minimum of five to seven years of homogeneous claims experience, which simply does not exist for commercial drones, EV fleets, or BESS facilities in India. Underwriters must therefore construct hybrid pricing frameworks that blend available data sources with engineering judgement.

Start with international loss benchmarks. The London market has been writing drone liability since 2015 and BESS property coverage since 2018. Munich Re and Swiss Re publish periodic loss studies on lithium-ion battery fires and EV thermal events that provide severity distributions. Adjust these benchmarks for Indian conditions: lower asset values but higher third-party density in operating environments, less mature fire response infrastructure, and different regulatory enforcement intensity.

Layer in manufacturer-specific data where available. Battery cell failure rates from BIS-certified testing laboratories, drone incident reports filed with DGCA, and EV fire data compiled by the National Crime Records Bureau all contribute partial loss frequency information. Supplement with engineering-based exposure rating for the specific risk being quoted, using scenario-based loss estimates rather than historical averages.

Finally, build in adequate risk margins. A minimum loading of 15-25% above the modelled technical rate is prudent for emerging risks where model uncertainty is high. Combine this with conservative policy wordings that include specific exclusions for non-certified equipment, unlicensed operators, and facilities that do not meet the international standards specified in the risk survey. Review pricing annually as Indian loss data accumulates and calibrate the framework against actual experience.