SMS Advertising - Pakistan

Pakistan

Highlights

Ad spending in the SMS Advertising market in Pakistan is forecasted to reach US$288.90k in 2024.
The ad spending is anticipated to demonstrate an annual growth rate (CAGR 2024-2030) of 2.91%, leading to an estimated market volume of US$343.20k by 2030.
When compared globally, the United States is expected to generate the highest ad spending (US$310.40m in 2024).
The average ad spending per capita in the SMS Advertising market is projected to be US$0.00 in 2024.
In Pakistan, SMS Advertising is experiencing a surge in popularity due to its cost-effectiveness and wide reach in the digital marketing landscape.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The SMS Advertising market in Pakistan is experiencing significant growth and development.

Customer preferences: Customers in Pakistan are increasingly relying on mobile phones for communication and accessing information. With a large portion of the population owning mobile devices, SMS advertising has become an effective way for businesses to reach their target audience. SMS messages are easily accessible and can be read at any time, making them an efficient and convenient advertising medium. Furthermore, SMS advertising allows for personalized and targeted messaging, which resonates well with customers in Pakistan who prefer tailored and relevant content.

Trends in the market: One of the key trends in the SMS Advertising market in Pakistan is the increasing adoption of mobile marketing strategies by businesses. As more companies recognize the potential of SMS advertising, they are incorporating it into their overall marketing campaigns. This trend is driven by the high mobile penetration rate in Pakistan and the cost-effectiveness of SMS advertising compared to traditional advertising channels. Additionally, businesses are leveraging advancements in technology to automate and optimize their SMS advertising campaigns, further enhancing their effectiveness. Another trend in the market is the rise of SMS-based customer engagement and loyalty programs. Businesses in Pakistan are using SMS advertising to engage with their customers, provide them with exclusive offers and discounts, and build long-term relationships. By offering personalized incentives through SMS, companies can increase customer loyalty and drive repeat business. This trend is particularly relevant in industries such as retail, e-commerce, and food delivery, where customer retention is crucial for success.

Local special circumstances: Pakistan has a young and tech-savvy population, with a significant portion of the population being active internet and mobile users. This demographic profile creates a favorable environment for the growth of SMS advertising. Additionally, Pakistan has a large number of small and medium-sized enterprises (SMEs) that are increasingly recognizing the value of SMS advertising as a cost-effective way to reach their target audience. The affordability and accessibility of SMS advertising make it an attractive option for these businesses to promote their products and services.

Underlying macroeconomic factors: The growth of the SMS Advertising market in Pakistan is also influenced by macroeconomic factors. Pakistan has been experiencing steady economic growth in recent years, which has led to an increase in consumer spending power. As disposable income rises, consumers are more likely to engage with SMS advertising and make purchasing decisions based on the information received through SMS messages. Additionally, the increasing smartphone penetration in Pakistan is driving the growth of SMS advertising, as more users have access to mobile internet and can easily receive and interact with SMS advertisements. In conclusion, the SMS Advertising market in Pakistan is witnessing significant growth and development due to customer preferences for personalized and targeted messaging, the adoption of mobile marketing strategies by businesses, the rise of SMS-based customer engagement and loyalty programs, the young and tech-savvy population in Pakistan, and the underlying macroeconomic factors such as economic growth and smartphone penetration.

Data coverage:

The data encompasses B2B enterprises. Figures are based on SMS Advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers the advertising budget used for creating and sending SMS 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 coverage.

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.