Comprehensive Data Sources for India’s Service Sector

India’s economy runs on services. From the bank that processes your UPI payment to the airline that flies you home for Diwali, the service sector now contributes more than half of the country’s Gross Value Added. But behind every policy decision, every Budget allocation, and every business forecast lies a less glamorous question: where does the data come from? Unlike factories that produce countable widgets, services are often intangible, fragmented, and hard to measure. This is where a network of ministries, regulators, and statistical agencies steps in to track everything from telecom subscriptions to foreign tourist arrivals.

Why service sector data matters 🔗

Services are the backbone of the modern Indian economy. According to the Economic Survey 2024-25, the share of services in total Gross Value Added rose from 50.6% in FY14 to about 55% in FY25. India also ranks seventh globally in services exports, with a 4.3% share of the world market. Numbers like these don’t just appear in textbooks; they shape decisions about taxation, employment schemes, infrastructure spending, and trade negotiations.

Reliable service sector data helps researchers and policymakers answer three core questions. First, how much is the sector contributing to GDP and how is that changing? Second, how many people are employed across its many sub-sectors, from banking to street-side hospitality? Third, where are the gaps that need policy intervention, such as financial inclusion or regional air connectivity? Without good data, none of these questions can be answered with confidence.

The unique measurement challenge 🔗

Services pose a measurement problem that manufacturing does not. A shirt produced in a factory has a tangible output. A consultation with a chartered accountant, a yoga session, or a Zomato delivery is harder to count, classify, and value. Add to this the fact that a huge share of Indian services is delivered through the informal sector, and the picture becomes even more complex. This is why no single agency can capture the entire sector. Instead, multiple ministries and regulators collect specialised data within their own domains.

Key data sources for the service sector 🔗

Service sector data in India flows from a constellation of government departments, each responsible for a slice of the economy. Together, their publications, surveys, and administrative records form the empirical foundation on which the service sector is measured.

Department of Financial Services 🔗

The Department of Financial Services (DFS) under the Ministry of Finance is the principal source for banking, insurance, and pension-related data. Its Data Analysis Section compiles banking statistics on deposits, advances, interest rates, and credit policy, in coordination with the Reserve Bank of India and the Indian Banks’ Association. The Department also publishes information on Public Sector Banks, the National Pension System, Pradhan Mantri Jan Dhan Yojana coverage, and direct premium underwritten in the insurance segment.

Closely linked is the Department of Economic Affairs, which publishes Indian Public Finance Statistics annually. This dataset captures budgetary transactions of the Central and State Governments, including patterns of domestic saving and investment that are essential for understanding the financial services landscape.

Ministry of Civil Aviation and DGCA 🔗

Air transport is a high-growth service sub-sector, and its statistics are tracked by the Ministry of Civil Aviation along with the Directorate General of Civil Aviation (DGCA). The DGCA publishes a Civil Aviation Statistics Handbook, along with monthly, quarterly, and yearly bulletins covering domestic air traffic, international air transport, passenger load factors, on-time performance, and cargo movement. These reports are widely used by airlines, airport operators, investors, and tourism researchers.

The Ministry also tracks data on accident and incident investigations, fleet sizes, airport approvals, and regional connectivity schemes such as UDAN. Together, this body of work allows analysts to study how aviation contributes to GDP, generates employment, and connects underserved regions.

Department of Telecommunications and TRAI 🔗

India is one of the world’s largest telecom markets, and the data flows from two main sources: the Department of Telecommunications (DoT) and the Telecom Regulatory Authority of India (TRAI). TRAI publishes Performance Indicators Reports quarterly, along with monthly Telecom Subscription Reports and Wireless Data Reports. These cover subscriber bases for wireless and wireline services, broadband penetration, internet usage, tariff trends, and Quality of Service indicators.

The DoT, meanwhile, releases data on spectrum allocation, licensing, public sector telecom undertakings such as BSNL and MTNL, and rural connectivity initiatives. For anyone studying the digital economy or the spread of digital public infrastructure like UPI, this regulator-cum-ministry pair is indispensable.

Ministry of Tourism 🔗

Tourism is one of the most fragmented service industries, spanning luxury hotels, budget homestays, transport operators, and tour guides. The Research and Analytics Division of the Ministry of Tourism brings out an annual publication called India Tourism Statistics, along with a shorter Tourism Statistics at a Glance brochure. The Ministry also publishes a Tourism Data Compendium, quarterly tourism snapshots, and monthly bulletins on Foreign Tourist Arrivals (FTAs), Indian Nationals’ Departures (INDs), and Foreign Exchange Earnings (FEEs) from tourism.

Some of this data is sourced from partner agencies. For instance, FTA figures come from the Bureau of Immigration, while foreign exchange earnings are derived from RBI Balance of Payments data, adjusted for inflation and exchange rate variations. This kind of inter-agency collaboration is typical of how service sector statistics are produced.

Other important contributors 🔗

Beyond these four pillars, several other agencies fill in the picture. The Ministry of Statistics and Programme Implementation (MoSPI) compiles the national accounts and conducts surveys like the Periodic Labour Force Survey, which captures employment in services. The Reserve Bank of India publishes data on credit to the services sector, balance of payments, and financial stability. The Insurance Regulatory and Development Authority (IRDAI) tracks insurance premiums, while the Securities and Exchange Board of India (SEBI) monitors capital markets. The Ministry of Road Transport and Highways and the Ministry of Railways publish their own transport service statistics.

For a single-window experience, the Open Government Data (OGD) Platform aggregates datasets from across these agencies in machine-readable formats, making it easier for students, researchers, and journalists to access them.

Challenges in service sector data collection 🔗

Despite this extensive ecosystem, service sector data collection in India faces real and persistent challenges. The sheer diversity of activities classified as “services” makes uniform measurement nearly impossible.

Diversity and informality 🔗

A single sub-sector like trade, hotels, and transport contains everything from five-star hotel chains to roadside dhabas, from organised logistics firms to autorickshaw drivers. Non-financial segments of services in India employed nearly 140 million people in fiscal year 2023, much of it in fragmented and unorganised markets. Surveys often capture the organised, formal portion well but miss the informal segment, leading to systematic underestimation.

Data gaps and timeliness 🔗

Many service sector datasets are released with significant lags. Aviation statistics, for example, are sometimes published on irregular schedules, and gaps in monthly data are common. The Ministry of Statistics has itself flagged that there is a need for more detailed data on trade in services, which has emerged as an important component of the balance of payments. For fast-moving sub-sectors like fintech or e-commerce, even a six-month lag can make data feel outdated.

Evolving definitions 🔗

What counts as a “service” keeps changing. Twenty years ago, no one was measuring app-based ride-hailing, food delivery, or content streaming. Today, these are billion-rupee industries. The growing phenomenon of servicification, where manufacturing firms increasingly bundle services with their products, further blurs the line between industry and services. Classification systems like the National Industrial Classification (NIC) need constant updates to keep pace, and until they are revised, new activities may sit awkwardly in old buckets.

Coordination across agencies 🔗

Because no single body owns service sector data, coordination is a recurring challenge. Different agencies may use different reference periods, sample frames, or definitions for the same indicator. The Ministry of Statistics has noted persistent discrepancies between merchandise trade data from the Directorate General of Commercial Intelligence and Statistics and the RBI’s balance of payments figures. Similar inconsistencies can creep into services data, requiring careful reconciliation before use.

Measuring quality, not just quantity 🔗

Finally, even when quantity data exists, quality is harder to capture. We can count the number of hospital beds, but measuring the quality of care is more elusive. We can count telecom subscribers, but average download speeds and call drop rates require separate technical audits. Bridging this quantity-quality gap is one of the frontiers of service sector statistics.

Putting the data to use 🔗

For a student of population and family health studies, service sector data is not just an economic curiosity. Access to financial services shapes household savings and women’s empowerment. Telecom data helps measure the digital divide that affects health information access. Tourism data feeds into discussions of seasonal migration and local livelihoods. Aviation and transport data tells us about regional connectivity that determines how easily people can reach tertiary healthcare. Treating service sector data as a tool for understanding human wellbeing, and not just GDP, is what gives this material its real value.

What do you think? Which service sub-sector do you think is most poorly measured in India today, and what would better data in that area help us understand about people’s everyday lives?

References

1. https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2098048
2. https://financialservices.gov.in/banking-divisions/Work-Allocation-Among-Sections/Data-Analysis
3. https://openbudgetsindia.org/organization/indian-public-finance-statistics
4. https://www.dgca.gov.in/digigov-portal/?page=yearly/4267/5192/html
5. http://www.trai.gov.in/release-publication/reports/performance-indicators-reports
6. https://tourism.gov.in/market-research-and-statistics
7. https://tourism.gov.in/sites/default/files/2026-02/Annual%20Tourism%20Snapshot%202025.pdf
8. https://www.data.gov.in/ministrydepartment/Ministry%20of%20Tourism
9. https://www.statista.com/topics/10982/service-sector-in-india/
10. https://mospi.gov.in/28-financial-and-external-sector-statistics