Swiggy chooses Snowflake to power data-driven decisions

In September 2026, Swiggy started using Snowflake as a unified data foundation to support analytics and decision-making across its food delivery, Instamart, and Dineout businesses, with the platform helping accelerate some data workloads by up to 96%, Snowflake said. As Swiggy expanded across multiple businesses, the company faced challenges in extracting insights from fragmented data and supporting peak workloads. It also wanted to provide employees with self-service access to data while reducing reliance on central data teams.

Swiggy established a central analytical layer on Snowflake using Apache Iceberg. According to Snowflake, the move has improved the company’s slowest data workflows by 90% to 96%. Its heaviest queries have been reduced from about two hours to 15 minutes, while data processing that previously took six hours can now support near real-time decision-making.

The changes are also being applied across several functions. Marketing teams can build and launch targeted campaigns within their own tools, while product engineering teams use standardized metric definitions to assess experimental features before release through an in-house platform running on Snowflake.
Operational teams are also able to monitor service quality metrics in real time to identify areas for improvement in delivery logistics. Finance teams, meanwhile, have access to workload-level visibility into technology expenditure. The data environment also incorporates role-based access controls, column masking and row-level security, allowing internal teams and external partners to work with data while maintaining access restrictions.

Snowflake said its governance framework also extends these controls to AI-powered agents and applications. AI agents can operate within the same permission boundaries, use short-lived credentials, and maintain audit trails similar to those required for human users.

Impact on the ICT Market

Marketing teams now build and launch targeted campaigns directly within their own tools. Product engineering teams rely on standardized metric definitions to evaluate experimental features before release, using an in-house platform running directly on Snowflake. Operational teams monitor service quality metrics in real time, helping proactively improve delivery logistics. At the same time, finance teams gain workload-level visibility into technology expenses.
Throughout the business, security features like role-based access, column masking, and row-level security enable both internal teams and external partners to interact with data safely using masked data. Snowflake’s governance framework further helps ensure that AI-powered agents and applications inherit the same permission boundaries, short-lived credentials, and audit trails required of human employees.

Impact on the Online Food Delivery Services Market

The global online food delivery services market size was valued at USD 83.41 billion in 2024, is projected to reach USD 98.5 billion in 2025, and is expected to reach around USD 405.81 billion by 2034, expanding at a CAGR of 17.14% from 2025 to 2034.

According to Precedence Research, the market's growth trajectory has been further catalyzed by the COVID-19 pandemic, as many individuals have embraced online food delivery as a safer and more convenient dining alternative. To tackle food waste, delivery companies are leveraging AI to forecast demand and optimize kitchen operations. Cloud kitchen operators and partner restaurants are using data analytics to reduce overproduction. Some platforms are also collaborating with food redistribution networks or apps like Too Good To Go, which resell unsold meals at discounted prices, thus cutting food waste and improving accessibility.

Moreover, leveraging data analytics and artificial intelligence for personalized recommendations and efficient logistics can enhance competitiveness. As consumers seek sustainability, integrating eco-friendly practices and packaging can tap into a growing market segment. Overall, the industry's future growth hinges on adaptability, innovation, and effectively addressing evolving consumer demands.