
95% of Indian IT leaders say data streaming simplifies AI adoption: Confluent report
- 96% of Indian IT leaders to boost data streaming investments in 2025
- 90% cite DSPs as key to AI innovation, faster product launches, and better customer experience.
- 5x ROI, real-time decision-making, and AI scalability driving India's data streaming adoption in 2025.
Confluent, Inc
., the data streaming pioneer, today released findings from its fourth annual
Data Streaming Report
, which surveyed 4,175 IT leaders across 12 countries, including 650 respondents from India.The results reiterate that data streaming platforms (DSPs) are no longer a nice-to-have. For Indian businesses looking to scale AI meaningfully, it's become a core enabler. A majority of IT leaders (95%) see DSPs easing AI adoption by tackling data access, quality, and governance challenges head-on. And that explains why 96% plan to increase investments in DSPs in 2025.
'Whether it's product recommendations, service interactions, or support queries, customers today expect responses that are tailored, impactful, and real-time. And they expect the same from AI. For businesses, meeting these expectations requires infrastructure that can keep up. AI is only as good as the data it's built on. Without continuous, trustworthy, real-time data flowing through the organization, AI can't deliver on its promise. That's where data streaming becomes essential, not just for enabling AI, but for staying competitive in a market driven by speed and precision', said Rubal Sahni, Area Vice President, India and Emerging Market at Confluent.
Key Takeaways From the 2025 Data Streaming Report
Driving force behind AI breakthroughs: 91% say DSPs will be used more to feed AI systems with real-time, contextual, and trustworthy data.Non-negotiable for business strategy: 94% rank data streaming as an important strategic priority. High-impact investment: 86% report 2-5x return on investment (ROI) for data streaming, compared to 80% in 2024.'Shift left' gains momentum: 81% of IT leaders reduced costs and risks across development and operations by adopting a shift-left approach to data processing and governance.
'The pace of execution in India is striking. Teams are going beyond experimentation and solving real business problems with streaming data. Enterprises aren't treating data streaming as just another tool, it's now a strategic muscle helping them act faster, build better, and stay responsive in a fast-changing market.' added Rubal.
Unlocking Deeper Value
Indian organizations are experiencing tangible benefits in terms of time-to-market, with 89% of respondents noting that DSPs enable them to deploy innovations faster and more efficiently. This increased speed directly contributes to the quality of their implementations, as 95% are seeing enhanced product and service innovation.
Furthermore, the impact of DSPs extends to customer experiences, with 86% of organizations reporting improved customer satisfaction.
Looking beyond these direct impacts, the adoption of a "shift left" approach to data processing underscores a fundamental prioritization of safety and governance. This early emphasis on governance and data quality leads to reduced processing costs for analytical workloads, where 90% report significant benefits, and for operational workloads, with 93% experiencing similar substantial gains. By embedding quality and governance at the beginning of the data lifecycle, organizations are ensuring the reliability of their systems and, consequently, achieving a reduction in overall business costs and risks, a benefit reported by 85%.
Dive into the Data
Download the
2025 Data Streaming Report here
. The report was based on a survey designed by Freeform Dynamics and conducted by Radma Research. Responses from 4,175 IT leaders were collected across Australia, Canada, France, Germany, India, Indonesia, Japan, Singapore, Spain, the United Arab Emirates, the United Kingdom, and the United States. Qualifying respondents are familiar with data streaming and work at companies with 500 or more employees.

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