Zero-lag Infrastructure: Streaming Data, Streaming Decisions

As enterprises confront the growing demand for instant responsiveness, data streaming is becoming an essential business agility and intelligence enabler. Traditional batch-based systems are giving way to zero-lag infrastructures that continuously process and act on data as it flows. From fraud detection and hyper-personalization to predictive maintenance and real-time supply chain visibility, streaming is moving from pilot projects to enterprise-wide transformation.

This report examines the rise of streaming as a foundation for real-time intelligence. It provides a clear view of why enterprises are embracing data in motion, where adoption is gaining momentum across industries and functions, and how technology providers are responding with new capabilities and platforms. It also looks at the organizational and technical challenges that continue to limit scale and identifies practical best practices to build resilient, scalable streaming architectures that drive measurable business impact.

By combining a structured overview of the ecosystem with insights into use cases, market dynamics, and scaling practices, this report equips business and technology leaders to reimagine how decisions are made in the moment, and how enterprises can move from being reactive to predictive in the digital era