India's 2026 Airport Privatisation: Can Bundling and Bid Caps Solve the Concentration Problem?
India is preparing the third round of its airport privatisation programme, and the design is unusually deliberate. Rather than auction airports one by one, the government plans to bundle profitable and unprofitable airports together and to cap how many bundles any single operator can win. These are not abstract policy preferences. They are a direct response to what happened the last time India sold airports without restrictions.
What India Is Actually Proposing
According to reporting on the Ministry of Civil Aviation's proposal to the Public-Private Partnership Appraisal Committee (PPPAC), the third round covers 11 Airports Authority of India (AAI) airports — drawn from facilities handling between roughly 0.1 and 1 million passengers a year — grouped into five bundled packages:
| Bundle | Airports |
|---|---|
| 1 | Amritsar – Kangra |
| 2 | Varanasi – Kushinagar – Gaya |
| 3 | Bhubaneswar – Hubli |
| 4 | Raipur – Aurangabad |
| 5 | Tiruchirappalli – Tirupati |
Source: Ministry of Civil Aviation proposal to the PPPAC, as reported January–April 2026; final pairings subject to Cabinet approval.
Two design features distinguish this round from anything India has done before. The first is bundling for cross-subsidisation — each package pairs a relatively busy airport with smaller ones, so that a single operator must invest in the regional facilities as the price of access to the better traffic. The second is a set of anti-concentration safeguards: officials are reportedly weighing a cap that limits any bidder to a maximum of two bundles, plus a fallback under which, if one bidder wins a third bundle, the second-highest bidder may match the winning price.
Both remain proposals under active discussion, shaped jointly by the civil aviation ministry, the finance ministry, and NITI Aayog, with final sign-off resting with the PPPAC and the Union Cabinet. The broader exercise sits inside the National Monetisation Pipeline, which targets significant proceeds from civil aviation through FY30.
Why the Rules Changed: The 2019 Sweep
The safeguards exist because of a specific outcome. In the 2019 round, which carried no limit on how many airports a single bidder could win, the Adani Group secured all six on offer — Ahmedabad, Jaipur, Lucknow, Guwahati, Mangaluru, and Thiruvananthapuram — in several cases outbidding rivals by wide margins. Combined with its operation of Mumbai and the new Navi Mumbai airport, that left one corporate group controlling roughly eight major Indian airports.
For policymakers, the concern is twofold: weakened bargaining power for airlines facing a dominant operator, and systemic concentration risk — the worry that disruption at one large operator could ripple across an essential-infrastructure network. Officials have explicitly framed airports as regional natural monopolies, and have pointed to recent operational stress events in Indian aviation as a reminder of how interconnected the system has become. The 2026 round is, in effect, an attempt to keep the efficiency benefits of privatisation while preventing a second clean sweep.
The Bundling Logic: Cross-Subsidising Regional Connectivity
The rationale for bundling is straightforward auction economics. Sell airports individually, and every bidder chases the same handful of profitable ones while nobody queues for a sleepy regional field. India has already seen this fail in practice — early attempts to lease Ahmedabad and Jaipur drew too few bidders and had to be re-run on gentler terms. Bundling forces investment into the unviable airports by attaching them to the attractive ones.
The global precedents are real — the comparison is structural
Several countries have used variations of this approach, and India's planners are drawing on them.
| Precedent | Structure | Relevance to India |
|---|---|---|
| Brazil (ANAC) | Successive rounds grouped airports into blocks, each anchored by a profitable hub | Most systematic government-mandated bundling model in the world |
| Mexico (GAP) | Grupo Aeroportuario del Pacífico operates ~12 airports anchored by Guadalajara | Demonstrates private group sustainability across a mixed traffic network |
| Spain (AENA) | ~46 airports under one operator; 49% float in 2015 preserved cross-subsidy structure | Privatisation of a network rather than individual assets |
| Japan (Kansai–Itami) | ORIX / VINCI Airports bundled profitable Kansai International with loss-making Itami and Kobe (from 2016) | Closest direct analogue: "anchor plus regional" structure |
| France (ADP) / airport-group model | ADP, AENA, Fraport, VINCI, Flughafen Zürich spread fixed costs and standardise across networks | Poole (2025): most performance gains come from airport-group operations, not individual privatisations |
The catch bundling doesn't remove
Bundling reallocates risk; it does not eliminate it. The more pressing danger this round may not be concentration at all, but the winner's curse — bundles won on aggressive valuations and hopeful traffic forecasts. India has its own cautionary example: the former Mumbai operator GVK was forced to sell out under the weight of its loans under the old revenue-share model. The structure of the asset underneath does not change, whatever the auction design on top of it.
The Concentration Cap and Right-to-Match: Borrowed From Other Sectors
India's anti-concentration tools are not native to aviation; they are adapted from other auctioned-infrastructure markets. Concentration caps echo the spectrum-aggregation limits long used in telecommunications auctions, where regulators cap how much any one operator can hold in a market to preserve competition. Runner-up right-to-match mechanisms appear in various infrastructure and concession contexts, including some of India's own highway tendering.
The core tension is one auction theory predicts clearly, and it is the same one India's own finance ministry has reportedly raised: caps protect competition but can depress revenue. A dominant bidder constrained from sweeping the field may bid less aggressively, and a government that restricts bidding too tightly risks raising less money — the very thing a monetisation programme is meant to maximise.
Why Airports Are Hard to Privatise Well
Underlying all of this is the fact that airports are an unusually difficult asset class, for reasons that are structural rather than statistical.
Natural monopoly. Most airports serve a catchment with no realistic competing airport nearby, and demand for their core aeronautical services is relatively price-inelastic — which is precisely why a private operator's pricing power has to be regulated.
Capital intensity and "lumpy" investment. Runways, terminals, and security systems require large, irregular outlays, creating cash-flow volatility that a single airport struggles to absorb. Bundling partly addresses this by smoothing investment across a portfolio — one of its genuine merits.
Heavy regulation. Tariffs at major airports are typically capped by an economic regulator (in India, the Airport Economic Regulatory Authority, AERA), and security and environmental obligations impose substantial fixed costs.
The single-till vs. dual-till question. Whether non-aeronautical revenue (retail, parking, real estate) is used to subsidise aeronautical charges materially affects both passenger fees and operator returns — and it is one of the design questions India has not yet settled for this round.
What the Global Evidence Actually Says
With more than 400 airports worldwide now sold or leased to investors, the most cited study — a 2023 NBER working paper by Howell and co-authors — found that airports improved on volume, efficiency, and quality under private-equity ownership, with more airlines, more destinations, lower average fares, and higher passenger satisfaction; notably, the gains were concentrated where investors ran airports as genuine businesses rather than passive holdings. Poole's 2025 paper adds the comparative context: ACI data show roughly 75% of European, 66% of Latin American, and 47% of Asia-Pacific passengers already use privatised airports, while the United States — constrained by a tax-exempt-bond rule — has managed only one successful privatisation: San Juan, Puerto Rico.
The lesson for India is not that privatisation automatically delivers — it is that the governance wrapped around it determines the outcome. The benefits show up where operators invest and compete; the risks show up where a dominant operator faces weak regulation. India has already seen the latter: at Thiruvananthapuram, the user development fee for domestic passengers rose sharply in the first year after privatisation, illustrating how quickly charges can climb when a regulated monopoly changes hands.
The Real Test for India
The bundling-and-cap design is a thoughtful answer to the 2019 concentration problem, and its instincts are well supported by global practice. But the harder variables sit elsewhere: whether AERA can tie tariff increases to actual service-quality improvements; whether the round uses a per-passenger fee (as in 2019) or revenue-sharing (as at Navi Mumbai), and how that choice interacts with bundles of very different traffic profiles; and whether bidders price the regional airports realistically rather than chasing bundles into a winner's curse.
The auction mechanics decide who wins. The regulatory framework decides whether passengers and regional connectivity win with them.
References
Poole, R. (2025). Incentivizing US Airport Privatization. AEI–Brookings joint project, August 2025. (ACI passenger-share data; San Juan; tax-exempt-bond barrier; airport-group performance.) brookings.edu / aei.org
Howell, S. T., et al. (2023). All Clear for Takeoff: Evidence from Airports on the Effects of Infrastructure Privatization. NBER Working Paper No. 30544.
Airports Council International (ACI) — passenger-share statistics for privatised airports, cited in Poole (2025).
Ministry of Civil Aviation / PPPAC (India) — third-round airport privatisation proposal (11 airports, five bundles), as reported January–April 2026.
channeliam / Dailyhunt (April 2026) — "India May Cap Bids in Airport Privatisation" (two-bundle cap and right-to-match proposals; 2019 Adani sweep).
The Daily Brief, Zerodha (June 2026) — analysis of bundling, fee models, and winner's-curse risk; GVK/Mumbai precedent; Navi Mumbai vs. Noida fee structures.
Airport Economic Regulatory Authority (AERA), India — tariff and user-development-fee regulation (Thiruvananthapuram UDF revisions).
Figures reflect information available to mid-2026. The Indian framework remains a set of proposals under government review; cap and right-to-match details may change before tenders are issued.