Web Push Advertising - India

India

Highlights

Ad spending in the Web Push Advertising market in India is forecasted to reach US$51.58m in 2024.
The ad spending is anticipated to demonstrate an annual growth rate (CAGR 2024-2030) of 2.44%, leading to a projected market volume of US$59.59m by 2030.
When compared globally, the United States is expected to generate the highest ad spending (US$1.21bn in 2024).
The average ad spending per internet user in the Web Push Advertising market is projected to be US$0.05 in 2024.
India's growing digital landscape fuels the surge in Web Push Advertising, offering a high potential market for advertisers to engage with tech-savvy consumers.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Web Push Advertising market in India is experiencing significant growth and development due to several key factors.

Customer preferences: Customers in India are increasingly relying on digital platforms for their daily activities, including shopping, entertainment, and communication. With the rapid growth of internet penetration and smartphone usage in the country, there is a growing demand for personalized and targeted advertising. Web push advertising offers a unique opportunity for businesses to reach their target audience directly on their devices, without the need for email or app notifications. This convenience and immediacy are highly appealing to customers, who value timely and relevant information.

Trends in the market: One of the key trends in the Web Push Advertising market in India is the adoption of advanced targeting and segmentation techniques. Businesses are leveraging data analytics and machine learning algorithms to identify and understand customer preferences and behavior. This allows them to deliver highly personalized and targeted push notifications, increasing the effectiveness of their advertising campaigns. Additionally, there is a growing trend of integrating web push notifications with other marketing channels, such as email and social media, to create a seamless and cohesive customer experience. Another trend in the market is the increasing use of automation and artificial intelligence in web push advertising. Businesses are utilizing AI-powered chatbots and virtual assistants to engage with customers in real-time and provide personalized recommendations. This not only improves customer satisfaction but also helps businesses optimize their advertising strategies based on real-time data and insights.

Local special circumstances: India has a diverse population with varying levels of digital literacy and language preferences. To cater to this diversity, businesses in the Web Push Advertising market are focusing on localization and multilingual support. They are developing platforms and tools that can deliver push notifications in regional languages, ensuring that the message reaches a wider audience. Additionally, businesses are also investing in user-friendly interfaces and intuitive designs to make the web push advertising experience seamless and accessible for all users.

Underlying macroeconomic factors: The growth of the Web Push Advertising market in India is also influenced by underlying macroeconomic factors. The country's robust economic growth, increasing disposable incomes, and expanding middle class are driving consumer spending and fueling demand for products and services. As businesses compete for the attention of consumers, web push advertising provides an effective and cost-efficient way to reach a large audience. Furthermore, the government's Digital India initiative, aimed at increasing internet connectivity and digital literacy across the country, is creating a favorable environment for the growth of the Web Push Advertising market. As more people gain access to the internet and become comfortable with digital technologies, the demand for web push advertising is expected to continue to rise. In conclusion, the Web Push Advertising market in India is experiencing significant growth and development due to customer preferences for personalized and targeted advertising, the adoption of advanced targeting and segmentation techniques, the use of automation and AI, localization efforts, and underlying macroeconomic factors such as economic growth and government initiatives.

Data coverage:

The data encompasses B2B enterprises. Figures are based on Web Push Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers the advertising budget used for distributing web push advertisements.

Modeling approach:

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

Forecasts:

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 is well suited to forecast digital products due to the non-linear growth of technology adoption, whereas exponential trend smoothing (ETS) is more suited for projecting steady growth in traditional advertising markets. The main drivers are GDP per capita, consumer spending per capita, and internet users.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.