India’s data growth can be celebrated for its strong momentum in AI, cloud, and advanced analytics, but the opportunity extends far beyond these areas. A rapidly expanding wave of data is now being generated continuously through smart video, smart infrastructure, and connected environments. These always-on data streams are steadily growing, contributing to massive volumes that must be reliably captured, stored, and retained for long-term value, compliance, and forensic analysis.
Sales Director-India, the Middle East, and Africa
WD
As this shift accelerates, storage continues to grow as a critical foundation of India’s digital ecosystem, not just an enabler of compute. Workloads like video surveillance demand reliable, scalable, and cost-efficient storage built for huge volumes of dense video data and continuous operation. Unlike burst-heavy AI workloads, surveillance environments generate sustained 24×7 write-intensive streams, and most times multiple concurrent streams, making purpose-built storage essential. In smart video, storage is not a secondary infrastructure; it is mission critical.
Moving beyond cameras to intelligent, networked smart video
Indian urban surveillance is advancing. Currently, more than 100 cities are running integrated command and control centres that provide real-time traffic updates, public safety, emergency response and civic management under government initiatives like Smart Cities Mission.
These advanced deployments include:
- AI-enabled analytics such as crowd counting, anomaly detection (fire, trespassing, abandoned objects), and behavioural pattern tracking
- Event-scale monitoring systems, as seen during Maha Kumbh 2025 in Prayagraj (2,700+ CCTV cameras, including hundreds of AI-enabled units, plus drone/anti-drone)
- Predictive policing models analysing crime hotspots and repeat offender risk scoring (for instance, projects such as SHIELD in Odisha)
While regulatory frameworks continue to change andtechnologies evolve, one constant remains: these smart video systems are always recording, across thousands of endpoints, without downtime, while producing massive amounts of information.
Movingfrom temporary to permanent data
India’s data growth story goes beyond AI training sets and cloud analytics. A continuous stream of video and sensor data now flows from city command centres, smart mobility, and safety networks, turning smart video content into a long-term asset rather than short lived telemetry.
Unlike AI workloads that cycle through training, validation, and archiving, smart video surveillance pipelines are “always-on”: they write continuously, across many concurrent streams, and expand the archive every day
Why smart video demands purpose-built storage
Smart video workloadswith continuous writes, parallel streams and long retention ideally need purpose-built smart video HDDs, which deliver multi-terabyte (TB) capacity at a low cost/TB and are specifically designed for 24×7 recording.
HDDsare reliable, scalable, and are the economical backbone for citywide and enterprise smart videoanalytics and archives.
Storage math behind modern smart video surveillance
High-resolution cameras recording continuously produce terabytes of data. Now scale this to a real system like the Indian Railways, with a video surveillance system covering 983 stations. Each HD camera at the station consumes approximately 1TB of data, and each 4K camera consumes 4 TB of data per month. This results in the network generating several petabytes (PB) monthly once you factor in redundancy, mandated retention periods, regulatory compliance, and AI analytics. Hence, such deployments quickly surge into petabytes (PB).
To help organisations accurately size these environments, the Surveillance Storage Capacity Estimator Toolenables calculation of storage requirements based on key parameters such as number of cameras, resolution, recording hours, retention period, and video format.
Smart video surveillance environments require storage systems that can sustain:
- Continuous 24×7 write operations
- Multiple concurrent streams
- High workload ratings
- Long operational lifecycles
- Minimal frame drops or latency fluctuations
A dropped frame can compromise investigations, compliance, and public confidence, making it more than just a technical problem.
Storage is the foundation for surveillance systems
Smart video surveillance data is becomingone of India’s fast-expanding digital asset classes, and in the coming years,may surpass AI training sets of data workloads in volume as cities scale their smart infrastructure.
Purpose-built storage solutions, engineered for high video stream concurrency and long data retention, are no longer optional. Storage is more than just mere infrastructure; it is the backbone of operational continuity, transparency, and trust.
–Authored by Owais Mohammad, Sales Director-India, the Middle East, and Africa at WD
