SPATIAL INDIA FOR CONSULTING & FMCG

Market intelligence at the granularity of a district

Size any Indian market by demographics, economic activity, and infrastructure — across all 800+ districts. Census demographics enriched with NFHS-5 (2021) health data and NASA night-time lights (2024) for current economic activity signals. Answers in minutes, not consulting-week Excel models.

Size Markets
Spot White Space
Benchmark Districts
Export Slides
Drill Into States

Market sizing runs on Excel and guesswork

Your analyst is pulling population from Census India, banking density from RBI, economic proxies from wherever they can find them — then manually joining everything in a spreadsheet. The district-level picture takes days to assemble.

The right tools cost ₹7 lakh or need developers

Enterprise GIS starts at ₹7L/year and needs trained GIS staff. Map APIs require a developer to build anything. Retail analytics platforms focus on AI scoring. Nothing lets a strategy consultant explore Indian demographics self-serve.

Tier-2/3 expansion decisions lack spatial context

Which districts have high population density but low banking penetration? Where is economic activity growing fastest? Tables and bar charts don't answer spatial questions — you need to see the map.

Night-time lights showing economic activity across Indian districts

Night-time Lights (Economic Activity Proxy)

Overlay NASA satellite data showing light intensity — a proven proxy for economic activity — across all districts. Ten years of annual data (2015–2024). Identify which Tier-2/3 markets are growing before official GDP data catches up.

District comparison panel for consulting benchmarks

District Comparison Panel

Pin any 10 districts and benchmark them across every metric — population, literacy, banking density, worker participation, night-light intensity. Normalised bar charts ready for your next client slide.

Scatter plot showing market opportunity gaps between districts

Scatter Plot Correlation

Plot population density against banking penetration. Worker participation against night-light intensity. Find the districts where demand indicators are high but supply is thin — your white-space opportunities, visualised.

Bivariate choropleth map for FMCG expansion analysis

Bivariate Analysis

Map two variables simultaneously: high population + low banking, or high literacy + low MSME registration. The 3×3 colour matrix shows exactly which districts sit in the sweet spot for your expansion criteria.

State drill-down view for market entry analysis

State Focus Drill-Down

Click any state to zoom in and see only its districts. Rank them, compare them, and scatter-plot them within that state's context. Perfect for state-level market entry reports.

District profile with radar chart and percentile comparison bars

District Profile

Click any district for a full statistical snapshot: radar chart across all active indicators, percentile rankings against state and national averages, and comparison bars showing where it leads or lags. A ready-made district brief for your next client presentation.

Population DensityHouseholdsWorker ParticipationNight-time Lights (2015–2024)Banking DensityMSME/Udyam RegistrationsLiteracyUrbanisationAgricultural Land UseInfrastructure (Hospitals, Schools, Banks)Wealth Index (NFHS-5)Climate Vulnerability& 75+ more
Coming soonCensus 2027GST Revenue by DistrictPMJDY Financial InclusionEV Registrations

Tier-2/3 market sizing

Rank districts by population, economic activity (night lights), and infrastructure. Filter by state. Export the ranking table as CSV for your model. A district-level TAM estimate that used to take a week — done in an afternoon.

White-space analysis for FMCG expansion

Use bivariate mapping to find districts with high population density but low retail or banking presence. Scatter-plot demand indicators against supply indicators. The map shows the white space — the presentation writes itself.

Data-backed client deliverables

Export choropleth maps and comparison charts with source attribution for your slide deck. Pin the client's target districts and their competitors' districts. Show the evidence, not just the recommendation.

FeatureSpatial IndiaRetail Analytics PlatformsIndian Map APIsEnterprise GIS
Self-serve, no developers neededOpen browser, start exploring(retail-focused only)(requires GIS training)
Night-time lights economic proxyNASA VIIRS 2015–2024, annual(paid add-on)
Cross-indicator analysisScatter plots with R² & filtering(requires expertise)
Side-by-side district benchmarkingPin up to 10 districts, compare instantly
Two-variable mapping (bivariate)3×3 matrix, find sweet-spot districts(manual configuration)
10+ national datasets, unifiedCensus, NFHS-5, MSME, lights & more(proprietary, closed)(paid add-ons, ₹7L+/yr)
District ranking & prioritizationRank 800+ districts by any metric
Presentation-ready map exportsPNG with legend & source attribution(manual cartography)
Census 2027 readyArchitecture ready, day-one support

Spatial India vs Retail Analytics Platforms

Self-serve, no developers neededOpen browser, start exploring✓ (retail-focused only)
Night-time lights economic proxyNASA VIIRS 2015–2024, annual
Cross-indicator analysisScatter plots with R² & filtering
Side-by-side district benchmarkingPin up to 10 districts, compare instantly
Two-variable mapping (bivariate)3×3 matrix, find sweet-spot districts
10+ national datasets, unifiedCensus, NFHS-5, MSME, lights & more✓ (proprietary, closed)
District ranking & prioritizationRank 800+ districts by any metric
Presentation-ready map exportsPNG with legend & source attribution
Census 2027 readyArchitecture ready, day-one support

Spatial India vs Indian Map APIs

Self-serve, no developers neededOpen browser, start exploring
Night-time lights economic proxyNASA VIIRS 2015–2024, annual
Cross-indicator analysisScatter plots with R² & filtering
Side-by-side district benchmarkingPin up to 10 districts, compare instantly
Two-variable mapping (bivariate)3×3 matrix, find sweet-spot districts
10+ national datasets, unifiedCensus, NFHS-5, MSME, lights & more
District ranking & prioritizationRank 800+ districts by any metric
Presentation-ready map exportsPNG with legend & source attribution
Census 2027 readyArchitecture ready, day-one support

Spatial India vs Enterprise GIS

Self-serve, no developers neededOpen browser, start exploring✓ (requires GIS training)
Night-time lights economic proxyNASA VIIRS 2015–2024, annual✓ (paid add-on)
Cross-indicator analysisScatter plots with R² & filtering✓ (requires expertise)
Side-by-side district benchmarkingPin up to 10 districts, compare instantly
Two-variable mapping (bivariate)3×3 matrix, find sweet-spot districts✓ (manual configuration)
10+ national datasets, unifiedCensus, NFHS-5, MSME, lights & more✓ (paid add-ons, ₹7L+/yr)
District ranking & prioritizationRank 800+ districts by any metric
Presentation-ready map exportsPNG with legend & source attribution✓ (manual cartography)
Census 2027 readyArchitecture ready, day-one support

District-level insight, delivered in minutes

Free during beta — currently in early access. No subscription, no API key, no software install. Explore the same districts your clients are asking about — with the data to back up your recommendation.

New district-level economic datasets — get early access.

Ready to explore

Explore the data

Free during beta — currently in early access.