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Web Push Advertising - North America

North America

Ad spending in the Web Push Advertising market in North America is forecasted to reach US$1.30bn in 2024.
The market is expected to experience an annual growth rate (CAGR 2024-2029) of 3.58%, leading to a projected market volume of US$1.55bn by 2029.
When compared globally, the United States will contribute the most to ad spending, reaching US$1,206.00m in 2024.
The average ad spending per internet user in the Web Push Advertising market is projected to be US$2.77 in 2024.
The United States leads in innovative Web Push Advertising strategies, setting trends for personalized, targeted campaigns in the North American market.

Key regions: China, Australia, Germany, United Kingdom, France

Market

Region

Region comparison

Currency

Analyst Opinion

The Web Push Advertising market in North America is experiencing significant growth and development due to the increasing popularity of online advertising and the widespread use of mobile devices.

Customer preferences: Customers in North America are increasingly turning to online platforms for their advertising needs. This shift is driven by several factors, including the convenience and accessibility of online advertising, the ability to target specific audiences, and the cost-effectiveness of digital marketing compared to traditional advertising methods. Additionally, the rise of mobile devices has further fueled the demand for web push advertising, as it allows businesses to reach consumers directly on their smartphones and tablets.

Trends in the market: One of the key trends in the Web Push Advertising market in North America is the growing adoption of personalized and targeted advertising strategies. Businesses are leveraging data analytics and user behavior tracking to deliver tailored advertisements to individual consumers. This approach not only increases the effectiveness of advertising campaigns but also enhances the overall customer experience by delivering relevant content. Another trend in the market is the increasing use of automation and artificial intelligence (AI) in web push advertising. AI-powered algorithms can analyze large amounts of data and make real-time decisions on ad placements, optimizing the effectiveness of advertising campaigns. Automation also allows businesses to scale their advertising efforts and reach a wider audience without requiring significant manual intervention.

Local special circumstances: North America has a highly developed digital infrastructure and a large population of internet users, making it an ideal market for web push advertising. The region is home to tech-savvy consumers who are accustomed to online shopping and digital advertising. Furthermore, North America has a highly competitive business environment, which drives companies to adopt innovative advertising strategies to stay ahead of the competition.

Underlying macroeconomic factors: The strong economic growth in North America has contributed to the expansion of the Web Push Advertising market. As businesses thrive and consumer spending increases, companies are allocating more resources to advertising and marketing to capture a larger share of the market. Additionally, the high level of internet penetration in North America provides a large customer base for web push advertising campaigns. In conclusion, the Web Push Advertising market in North America is experiencing significant growth and development due to customer preferences for online advertising, the adoption of personalized and targeted advertising strategies, the use of automation and AI, the region's digital infrastructure, and the strong macroeconomic factors. This trend is expected to continue as businesses continue to invest in digital advertising to reach their target audience effectively.

Methodology

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.