Market Insights Advertising & Media Advertising

Digital Classifieds - United States

United States

Ad spending in the Digital Classifieds market in the United States is forecasted to reach €2.40bn in 2024.
The ad spending is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 0.50%, leading to an estimated market volume of €2.46bn by 2029.
When compared globally, the majority of ad spending will originate from China ( €7,104.00m in 2024).
The average ad spending per internet user in the Real Estate classifieds market is expected to be €2.09 in 2024.
Within the Digital Classifieds market, 73% of the total ad spending will be attributed to mobile in 2029.
Digital classifieds in the United States are experiencing a surge in user engagement and revenue growth, driven by targeted advertising and enhanced user experience.

Key regions: Japan, Australia, Europe, India, Germany

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Analyst Opinion

The Digital Classifieds market in United States is experiencing significant growth and development.

Customer preferences: Customers in the United States are increasingly turning to online platforms for buying and selling goods and services. The convenience and accessibility of digital classifieds platforms have made them a popular choice among consumers. Additionally, the ability to search for specific items and compare prices has made online classifieds a preferred option for many.

Trends in the market: One of the key trends in the Digital Classifieds market in United States is the rise of specialized platforms. While general classifieds websites continue to be popular, there has been a growing demand for niche platforms that cater to specific industries or interests. This trend is driven by the desire for more targeted and relevant listings, as well as the need for specialized features and functionalities. For example, there are now dedicated platforms for real estate, automobiles, jobs, and even pet adoption. Another trend in the market is the increasing use of mobile devices for accessing and using digital classifieds platforms. With the widespread adoption of smartphones and tablets, more and more consumers are using these devices to browse listings, contact sellers, and make purchases. This shift towards mobile usage has prompted classifieds platforms to optimize their websites and develop mobile apps to provide a seamless user experience.

Local special circumstances: The United States has a large and diverse population, which has contributed to the growth of the Digital Classifieds market. The country's size and population density create a favorable environment for online classifieds platforms to thrive. Additionally, the high level of internet penetration and access to technology in the United States has further fueled the growth of the market.

Underlying macroeconomic factors: The strong economy and high consumer spending in the United States have also played a role in the development of the Digital Classifieds market. As consumers have more disposable income, they are more likely to engage in buying and selling activities, leading to increased demand for online classifieds platforms. Furthermore, the competitive nature of the market has driven innovation and the development of new features and services to attract and retain customers.

Methodology

Data coverage:

Data encompasses enterprises (B2B). Figures are based on digital classifieds advertising spending and exclude agency commissions, rebates, production costs, and taxes. The market covers digital classifieds advertising fees paid by advertisers to display online jobs, motor, real estate, and general classifieds.

Modeling approach:

Market size is determined by a combined top-down and bottom-up approach. We use market data from industry association reports, third-party reports, and survey results from our primary research (e.g., Consumer Insights Global Survey) to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as GDP, internet users, and digital consumer spending.

Forecasts:

We use a variety of forecasting techniques, depending on the behavior of the market. For instance, 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.

Additional notes:

Data is modeled using current exchange rates. The impacts of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice per year in case market dynamics change.