Online Lottery - India

  • India
  • Revenue in the Online Lottery market is projected to reach 0.00 in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-0) of 0, resulting in a projected market volume of 0.00 by 0.
  • In the Online Lottery market, the number of users is expected to amount to 0.00 by 0.
  • User penetration will be 0.00 in 2024 and is expected to hit 0.00 by 0.
  • The average revenue per user (ARPU) is expected to amount to 0.00.
  • In global comparison, most revenue will be generated 0 (0 in 2024).
  • With a projected rate of 0, the user penetration in the Online Lottery market is highest 0.

Key regions: Asia, Japan, South Korea, United States, Europe

Comparación de regiones

Analyst Opinion

The Online Lottery market in India has witnessed significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Online Lottery market in India have been shaped by various factors. Firstly, the convenience offered by online platforms has attracted a large number of customers who prefer the ease of participating in lottery games from the comfort of their homes. Additionally, the increasing use of smartphones and internet penetration has made online lotteries more accessible to a wider audience. Furthermore, the desire for entertainment and the thrill of winning prizes have also contributed to the growing popularity of online lotteries in India. Trends in the market indicate a shift towards digitalization and the adoption of technology. Online lottery platforms are increasingly leveraging advanced technologies such as artificial intelligence and data analytics to enhance user experience and improve the odds of winning. Moreover, the introduction of innovative game formats and attractive prizes has also played a role in driving the growth of the Online Lottery market in India. Local special circumstances in India have also influenced the development of the Online Lottery market. India has a large population with a significant portion of it residing in rural areas. Online lotteries provide an opportunity for people in remote areas to participate in lottery games without the need to travel to physical ticket outlets. Additionally, the Indian government's efforts to promote digital payments and cashless transactions have further facilitated the growth of online lotteries in the country. Underlying macroeconomic factors have also contributed to the development of the Online Lottery market in India. The country's strong economic growth, rising disposable incomes, and increasing middle-class population have created a favorable environment for the expansion of the online lottery industry. Moreover, the growing internet penetration and smartphone adoption rate have provided a solid foundation for the growth of online lotteries in India. In conclusion, the Online Lottery market in India is witnessing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The convenience offered by online platforms, the adoption of advanced technologies, and the desire for entertainment and prizes have all contributed to the increasing popularity of online lotteries in India.


Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Gambling Revenue (GGR) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies, and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. This data helps us estimate the market size for each country individually.


In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing. The main drivers are internet users, the urban population, the usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.

Visión general

  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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