The new law could choke the sector with costly compliance, unless policymakers grant flexibility.

India’s Data Protection Conundrum

Paytm’s chief data officer, Ananya Sharma, recently paused the rollout of a new AI-driven credit-scoring feature due to the looming Data Protection Bill. The government’s draft legislation aims to police every step of how personal data is collected, stored, and processed inside India. For a fintech that relies on real-time user data, the timing feels like a roadblock.

The bill mirrors the EU’s GDPR but adds a “data-localisation” clause that forces all Indian users’ data to stay on servers physically located in the country. It also creates a Data Protection Authority (DPA) with sweeping enforcement powers. The draft estimates that 80% of Indian internet users will be covered, a figure that translates into billions of data points for startups to manage.

The Regulatory Landscape

The draft has been in the pipeline since 2019, undergoing three major revisions before reaching its current form. Industry bodies like NASSCOM and the Internet and Mobile Association of India (IAMAI) were consulted, but faced push-back over vague definitions of “sensitive personal data.”

The Regulatory Landscape India’s Data-Protection Bill Threatens Startup Growth The draft has been in the pipeline since 2019, undergoing three major revisions before reaching its current form.

According to The Indian Express, the centre may shorten the compliance timeline for big tech firms while keeping a longer grace period for smaller players, creating an uneven playing field. This signals a possible two-track system: giants like Meta and Google could get a six-month window, while a startup such as Swiggy might have two years to meet the same standards.

High Stakes for Startups

Compliance is not cheap. A 2024 NASSCOM survey found that the average cost of building a data-governance framework for a tech-focused SME runs between ₹1.2 crore and ₹2.5 crore annually. For a seed-stage startup with a ₹5 crore burn rate, that expense can be existential.

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The bill also threatens revenue models that depend on data-driven personalization. Byju’s, for instance, uses student interaction data to tailor its learning paths. If the new law restricts the depth of data collection, the company may lose a competitive edge. Non-compliance carries fines up to 2% of global turnover, a penalty that could wipe out a venture-capital-backed firm in a single breach.

Response from the Industry

Startups and tech firms have rallied for clearer, more flexible rules. A joint letter from 23 startups, including fintechs Razorpay and Cred, urged the government to extend the compliance timeline to at least 24 months and to allow phased implementation of localisation requirements. NASSCOM’s president, Debjani Ghosh, said, “A balanced approach is essential; otherwise, we may see a wave of exits or relocations.”

Industry bodies are also pushing for a “sandbox” regime – limited environments where companies can test data-intensive services under regulator supervision. Such a model exists in the UK’s fintech sector and could give Indian innovators a safe space to experiment without full-scale penalties.

The Road Ahead

The government plans to table the final version of the Data Protection Bill before the monsoon session ends in July. If passed, companies will have to file a detailed data-mapping report with the DPA within six months, followed by a full audit within a year.

Response from the Industry India’s Data-Protection Bill Threatens Startup Growth Startups and tech firms have rallied for clearer, more flexible rules.

For startups, the immediate task is to audit existing data pipelines and budget for compliance hires. Data-protection officers, privacy engineers, and compliance analysts are already seeing a surge in demand on job portals. young professionals with a blend of legal knowledge and technical skill could find lucrative roles as firms scramble to meet the deadline.

Whether the bill will become a catalyst for stronger data ethics or a chokehold on innovation depends on the final concessions the centre makes. If the DPA adopts a risk-based approach, offers phased localisation, and provides clear guidance, Indian startups may adapt without losing momentum. If not, the sector could see a slowdown in funding, slower product launches, and a talent exodus to more data-friendly jurisdictions.

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