1. What is Dominance in Data-Driven Banking?

In traditional banking, dominance = branch network + capital. In data-driven banking, dominance = control over non-replicable data + network effects + ability to leverage that data across markets.

A bank / fintech / Big Tech payment app is dominant not because it has high market share in deposits, but because:

a) Data as an Entry Barrier: Transaction history, UPI data, spending patterns, location data, device data. A new entrant cannot replicate 5 years of PhonePe's 8.9 billion monthly transactions data.

b) Network Effects: More users -> more data -> better risk scoring / fraud detection / offers -> more merchants -> more users.

c) Leveraging: Using dominance in one market to enter another. e.g., Dominance in UPI apps -> leveraging into lending, insurance distribution, credit scoring.

Under Indian law, mere dominance is not illegal. Abuse is illegal. Supreme Court in Competition Commission of India vs. Schott Glass India Pvt Ltd. (2023) finally settled this: You must prove actual or likely anti-competitive effects - an effects-based analysis is mandatory under Section 4.

Section 4(2) prohibits:

• 4(2)(a)(i): unfair or discriminatory condition / price in purchase/sale - includes unfair data collection terms
• 4(2)(a)(ii): predatory pricing - zero-fee UPI to kill competition
• 4(2)(c): denial of market access
• 4(2)(e): leveraging dominance in one market to other market

2. Two Types of Abuse Specific to Data-Driven Banking

A. Exploitative Abuse - Data Extraction

Imposing unfair data-sharing consent. If a dominant bank says "share your entire contact book, location, SMS to get a loan", that is an exploitative condition.

B. Exclusionary Abuse - Data Denial / Tying

1. Refusal to share data / API access: Denying account aggregator access, refusing to open NFC chip to rival banks.
2. Tying and Bundling: "You can use our App Store only if you use our UPI billing"
3. Self-preferencing with data: Using merchant transaction data to launch competing lending product.

3. Detailed Case Laws

INDIA

1. CCI vs. WhatsApp / Meta - The Data Sharing Case (2021-2024) - Landmark for banking data
Informant: Updated privacy policy mandating sharing of WhatsApp business transaction data with Facebook group companies.

CCI Holding: Prima facie abuse under Sec 4. CCI held data-sharing among group entities of a dominant platform can amount to leveraging dominance and imposing unfair conditions under Sec 4(2)(a) and 4(2)(e). The case is now before Supreme Court where SME Forum argued that blocking data sharing will hurt small merchants who rely on WhatsApp Payments + Facebook ads integration. Penalty: CCI imposed Rs 213.14 cr on Meta in 2024 and directed not to share WhatsApp data for advertising for 5 years. This is directly applicable to banks sharing CASA data with insurance subsidiaries.

2. XYZ vs. Google / Google Pay - CCI Case No. 07 of 2020 - UPI Market
Allegation: Google is dominant in (a) Android App Store market and (b) Market for Apps facilitating payment through UPI and forces app developers to use Google Pay Billing, and pre-installs Google Pay.

CCI Finding: Defined separate relevant market as "market for apps facilitating UPI payments" - not the whole payments infrastructure. Noted concentration: PhonePe ∼47%, Google Pay ∼37%, Paytm ∼11% - highly concentrated market indicating dominance.

PhonePe and Google Pay together control ∼77.8% as of Sept 2026, both above NPCI's proposed 30% volume cap.

CCI ordered DG investigation for abuse under Sec 4(2). This case created the principle that UPI transaction data is a competitive asset. Google using its Play Store data to promote Google Pay was seen as leveraging.

NCLAT in 2025 partially set aside CCI order, holding that UPI share under 1% for GPB? but upheld core principle that gatekeeper-style directions cannot be imposed under current ex-post law - pushing for new Digital Competition Law.

3. Harshita Chawla vs. WhatsApp (2020) & CUTS vs. Google Pay - Similar issues on data localisation and access denial to rivals.

4. Satyen Narendra Bajaj vs. PayU Payments (2023)
CCI observed that Competition Act moved from "monopoly per se bad" to "abuse of dominance is bad". Crucial for fintech: having large Payment Gateway market share is not illegal, but imposing pre-payment charges or denying API access to competing banks could be.

EUROPE & GERMANY - The Banking Template

5. European Commission vs. Apple Pay NFC - AT.40452 (2020-2024)
Commission's Statement of Objections: Apple abused its dominant position in mobile wallets on iOS by restricting third-party access to NFC technology, reserving it only for Apple Pay.

Finding: This is essential facility doctrine applied to data infrastructure. Banks could not offer tap-to-pay without access to iPhone NFC chip. Apple charged issuing banks 0.15% per transaction while Google Pay/ Samsung Pay charged zero.

Outcome: In July 2024, Apple gave legally binding commitments to open NFC to third-party wallets / banks under FRAND terms for 10 years across EEA. This is now the global precedent for Open Banking Wallets.

6. German Federal Cartel Office (Bundeskartellamt) - Apple Pay NFC Parallel Case + Section 19a GWB
German FCO applied its new Section 19a for large digital companies, holding ATTF and NFC restriction as abuse. Same logic is being used by German FCO against banks refusing to share PSD2 data.

7. Bundeskartellamt vs. Facebook (2019) - The Mother of All Data Dominance Cases
FCO held Facebook abused dominance by combining data from Facebook, Instagram, WhatsApp, and third-party websites (via pixel) without consent. Court said privacy violation can be an indicator of exploitative abuse when data collection has no economic justification. This reasoning was adopted by CCI in Meta/ WhatsApp case.

8. EU vs. Amazon Marketplace Data (2022)
EU found Amazon used non-public seller transaction data to self-preference its own retail offers. Amazon committed to not use seller data. Directly relevant: If HDFC Bank uses payment data of merchants acquired via SmartGateway to cross-sell HDFC loans and deny same data to rival lenders, it's same abuse.

4. How to Prove Dominance in Data-Driven Banking - 4 Step Test Used by CCI

1. Relevant Market: Is it "market for UPI apps" or "market for digital lending based on UPI data"? CCI now defines narrow data-based markets.
2. Dominance: Market share >40% + control over data that cannot be duplicated + network effects. In UPI: PhonePe 46.46% in June 2025 is prima facie dominant.
3. Abuse: Show unfair condition (forced data sharing), denial of market access (refusing AA framework access), or leveraging.
4. Effects: Show AAEC - Appreciable Adverse Effect on Competition as mandated by Supreme Court in 2023.

5. What's Coming

Digital Personal Data Protection Act, 2023 + Competition Amendment Act, 2023 + Draft Digital Competition Bill, 2024

New concepts: Systemically Significant Digital Enterprise (SSDE) with > Rs 4000 cr turnover + >10 million users. They will have ex-ante duties: No self-preferencing using data, mandatory data portability, no tying of payment service to app store.

For banks, this means Account Aggregator framework + RBI's data sharing norms will be tested under competition lens. Refusing to share financial information via AA to fintech without objective justification will be treated as refusal to deal under Sec 4(2)(c).