The source forecast that digital advertising spending worldwide will reach *** billion U.S. dollars in 2025, up **** percent from *** billion dollars a year earlier. The figure was predicted to continue rising, exceeding *** billion by 2027. The same study projected that the internet's share in global ad spend will exceed ** percent in 2027.

In 2024, the digital advertising market in Turkey grew by **** percent compared to the year prior. Turkey placed first from 2020 to 2024 each year in Europe in terms of digital ad growth.

In 2023, Taiwan's digital advertising expenditure increased by *** percent, surpassing ** billion New Taiwan dollars. Between 2014 and 2023, Taiwan's digital advertising spending increased by almost fourfold.

This chart displays how spending on advertising in Ukraine was distributed among different media from 2014 to 2018. The data by newage. showed that the share of spending on digital advertising in the country increased from 23 percent in 2014 to 39 percent in 2019. The shares of expenditure on TV advertising and printed press saw a decrease over the observed period, measuring 38 percent and seven percent in 2018, respectively.

In 2022, global internet advertising revenue stood at *** billion U.S. dollars. The source projected the revenue would increase to *** billion by 2027. Internet advertising in the U.S. – additional informationInternet or online advertising encompasses a range of formats including email, search engine, social media, display and mobile advertising. Display advertising uses pictures, videos, text and graphics to target consumers and ads are usually matched with potential consumers through the use of cookies.The leading internet display advertisers in the United States in 2014, were ranked regarding their measured advertising spending. The resulting list, which only took into account spending on digital display advertising, saw Comcast ranked first. The American mass media company, founded in Mississippi in 1963, spent ***** million U.S. dollars on online display advertising in 2014. The runner up to Comcast was the Texas based telecommunications company AT&T with a spending of *** million U.S. dollars.The investments made in online advertising have grown substantially in the recent past. The revenue generated by online advertising in the U.S. has been recorded from the first quarter in 2007 to the fourth quarter of 2015. In the first quarter of 2007, online spending revenue amounted to *** billion U.S. dollars. By the fourth quarter of 2013, this figure had risen to ***** billion U.S. dollars, growing further to ***** billion dollars in the fourth quarter of 2015.A breakdown of the online advertising revenue in the U.S. in 2015, by type reveals which forms of internet advertising was most invested in, and perhaps deemed the most useful to a company operating online. It was revealed that search advertising, which increases a website or company’s visibility on search engine result pages, held the largest share of online advertising with ** percent. Banner and mobile advertising rounded off the top three.

In 2024, digital advertising spending in France stood at ***** billion euros, up ** percent on the value of **** billion reported in 2023. Between 2019 and 2024, the spending nearly doubled and France was the third-largest digital ad market in Europe.

The statistic depicts the revenue of leading internet advertising agencies in Japan in 2014. During the measured period, Cyber Agent showed the highest revenue of all Japanese online ad agencies. With an annual revenue of over 105 billion Japanese Yen, D.A. Consortium ranked second.

China is one of the key drivers of global mobile ad spending. In 2023, the market size of the Chinese mobile advertising industry increased by *** percent to approximately *** billion yuan. With an enormous user base turning to “mobile-first” and a vibrant digital advertising landscape, China’s mobile ad market size was expected to exceed *** yuan by 2025. Advertising in China: the digital age As of 2021, digital advertising accounted for about ** percent of China’s total media ad expenditure. The Chinese tech titans - Alibaba, Tencent, Baidu, and ByteDance – are the major driving forces in this rapidly growing market. The e-commerce giant Alibaba would continuously dominate the sector in 2020, whereas the coronavirus (COVID-19) pandemic has created a significant impact on digital ad platforms. The dark side of the fairy tale Mobile advertising made up for the majority of digital ad spending in China. Having established itself as an indispensable instant messaging app in China, Tencent’s WeChat has become one of the largest mobile ad platforms. Taking the current circumstances of coronavirus into consideration, the total amount spent on mobile ads would exceed *** billion U.S. dollars by the year 2024. Despite the huge market opportunity, advertisers need to be aware of online ad fraud in China, given that the prevalence of bots generating invalid ad traffic is higher than the global average.

This competition involves advertisement data provided by BuzzCity Pte. Ltd. BuzzCity is a global mobile advertising network that has millions of consumers around the world on mobile phones and devices. In Q1 2012, over 45 billion ad banners were delivered across the BuzzCity network consisting of more than 10,000 publisher sites which reach an average of over 300 million unique users per month. The number of smartphones active on the network has also grown significantly. Smartphones now account for more than 32% phones that are served advertisements across the BuzzCity network. The "raw" data used in this competition has two types: publisher database and click database, both provided in CSV format. The publisher database records the publisher's (aka partner's) profile and comprises several fields:

publisherid - Unique identifier of a publisher. Bankaccount - Bank account associated with a publisher (may be empty) address - Mailing address of a publisher (obfuscated; may be empty) status - Label of a publisher, which can be the following: "OK" - Publishers whom BuzzCity deems as having healthy traffic (or those who slipped their detection mechanisms) "Observation" - Publishers who may have just started their traffic or their traffic statistics deviates from system wide average. BuzzCity does not have any conclusive stand with these publishers yet "Fraud" - Publishers who are deemed as fraudulent with clear proof. Buzzcity suspends their accounts and their earnings will not be paid

On the other hand, the click database records the click traffics and has several fields:

id - Unique identifier of a particular click numericip - Public IP address of a clicker/visitor deviceua - Phone model used by a clicker/visitor publisherid - Unique identifier of a publisher adscampaignid - Unique identifier of a given advertisement campaign usercountry - Country from which the surfer is clicktime - Timestamp of a given click (in YYYY-MM-DD format) publisherchannel - Publisher's channel type, which can be the following: ad - Adult sites co - Community es - Entertainment and lifestyle gd - Glamour and dating in - Information mc - Mobile content pp - Premium portal se - Search, portal, services referredurl - URL where the ad banners were clicked (obfuscated; may be empty). More details about the HTTP Referer protocol can be found in this article. Related Publication: R. J. Oentaryo, E.-P. Lim, M. Finegold, D. Lo, F.-D. Zhu, C. Phua, E.-Y. Cheu, G.-E. Yap, K. Sim, M. N. Nguyen, K. Perera, B. Neupane, M. Faisal, Z.-Y. Aung, W. L. Woon, W. Chen, D. Patel, and D. Berrar. (2014). Detecting click fraud in online advertising: A data mining approach, Journal of Machine Learning Research, 15, 99-140.

This graph illustrates data on the share of online advertising spending in the media mix in Germany from 2014 to 2017, as well as the first half of 2018, by industry. In the first half of 2018, the media industry had an online advertising spending share of * percent.

In 2023, Baidu, a Chinese multinational internet company, recorded an online marketing services revenue of approximately ***** billion yuan. The total revenue of Baidu was more than133 billion yuan that year.

The graph shows the year-on-year change in programmatic digital display advertising spending in China from 2014 to 2018 as well as a forecast until 2021. The source projected the spending to grow by **** percent in 2020.

In 2020, advertising revenue generated by web TV in Denmark stood at 602 million Danish kronor. This was roughly six time the value registered in 2014.

In 2023, digital advertising spending in Mexico amounted to approximately ***** billion Mexican pesos, up from 74..21 billion pesos a year earlier. That signifies an annual growth rate of almost eight percent – Mexico's lowest online ad spend growth rate since 2020.

This statistic shows the share of time spent with digital media versus the share of digital advertising spend in Canada from 2013 to 2014, and a forecast until 2016. It was estimated that in 2016 Canadians spent ** percent of their media time with digital media. Advertising spend on this medium in 2016 amounted to a **** percent share.

The timeline presents the internet advertising revenue in South Africa from 2014 to 2018, with a forecast until 2023, by device. Mobile internet advertising is expected to increase from **** billion South African rand in 2018 to **** billion South African rand in 2023.

Dataset for content analysis published in "Hornikx, J., Meurs, F. van, Janssen, A., & Heuvel, J. van den (2020). How brands highlight country of origin in magazine advertising: A content analysis. Journal of Global Marketing, 33 (1), 34-45."

*Abstract (taken from publication)
Aichner (2014) proposes a classification of ways in which brands communicate their country of origin (COO). The current, exploratory study is the first to empirically investigate the frequency with which brands employ such COO markers in magazine advertisements. An analysis of about 750 ads from the British, Dutch, and Spanish editions of Cosmopolitan showed that the prototypical ‘made in’ marker was rarely used, and that ‘COO embedded in company name’ and ‘use of COO language’ were most frequently employed. In all, 36% of the total number of ads contained at least one COO marker, underlining the importance of the COO construct.

*Methodology (taken from publication)

Sample
The use of COO markers in advertising was examined in print advertisements from three different countries to increase the robustness of the findings. Given the exploratory nature of this study, two practical selection criteria guided our country choice: the three countries included both smaller and larger countries in Europe, and they represented languages that the team was familiar with in order to reliably code the advertisements on the relevant variables. The three European countries selected were the Netherlands, Spain, and the United Kingdom. The dataset for the UK was discarded for testing H1 about the use of English as a foreign language, as will be explained in more detail in the coding procedure.

The magazine Cosmopolitan was chosen as the source of advertisements. The choice for one specific magazine title reduces the generalizability of the findings (i.e., limited to the corresponding products and target consumers), but this magazine was chosen intentionally because an informal analysis suggested that it carried advertising for a large number of product categories that are considered ethnic products, such as cosmetics, watches, and shoes (Usunier & Cestre, 2007). This suggestion was corroborated in the main analysis: the majority of the ads in the corpus referred to a product that Usunier and Cestre (2007) classify as ethnic products. Table 2 provides a description of the product categories and brands referred to in the advertisements. Ethnic products have a prototypical COO in the minds of consumers (e.g., cosmetics – France), which makes it likely that the COOs are highlighted through the use of COO markers.

Cosmopolitan is an international magazine that has different local editions in the three countries. The magazine, which is targeted at younger women (18–35 years old), reaches more than three million young women per month through its online, social and print platforms in the Netherlands (Hearst Netherlands, 2016), has about 517,000 readers per month in Spain (PrNoticias, 2016) and about 1.18 million readers per month in the UK (Hearst Magazine U.K., 2016).

The sample consisted of all advertisements from all monthly issues that appeared in 2016 in the three countries. This whole-year cluster was selected so as to prevent potential seasonal influences (Neuendorf, 2002). In total, the corpus consisted of 745 advertisements, of which 111 were from the Dutch, 367 from the British and 267 from the Spanish Cosmopolitan. Two categories of ads were excluded in the selection process: (1) advertisements for subscription to Cosmopolitan itself, and (2) advertisements that were identical to ads that had appeared in another issue in one of the three countries. As a result, each advertisement was unique.

Coding procedure
For all advertisements, four variables were coded: product type, presence of types of COO markers, COO referred to, and the use of English as a COO marker. In the first place, product type was assessed by the two coders. Coders classified each product to one of the 32 product types. In order to assess the reliability of the codings, ten per cent of the ads were independently coded by a second coder. The interrater reliability of the variable product category was good (κ = .97, p < .000, 97.33% agreement between both coders). Table 2 lists the most frequent product types; the label ‘other’ covers 17 types of product, including charity, education, and furniture.

In the second place, it was recorded whether one or more of the COO markers occurred in a given ad. In the third place, if a marker was identified, it was assessed to which COO the markers referred. Table 1 lists the nine possible COO markers defined by Aichner (2014) and the COOs referred to, with examples taken from the current content analysis. The interrater reliability for the type of COO marker was very good (κ = .80, p < .000, 96.30% agreement between the coders), and the interrater reliability for COO referred to was...

ICA71 - Paid internet advertising. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Paid internet advertising...

Advertising agencies have benefitted from rising consumer spending, corporate profit and per capita disposable income. Despite the outbreak of COVID-19 and falling advertising expenditure in 2020, as corporate profit returned in the following years, agencies were able to capitalize on an explosion of pent-up demand as businesses targeted a consumer base with growing disposable income. As traditional media advertising expenditures decline, digital ad spending has captured the spotlight. Consumer behavior, increasingly leaning towards online platforms and mobile devices, has reshaped advertising strategies, pushing agencies to focus on digital-first approaches. Industry-wide revenue has been growing at a CAGR of 3.6% over the past five years and is expected to total $78.2 billion in 2025, when revenue will jump by an estimated 1.6% and profit will inch forward to 8.7%. The industry has benefited from the growth of digital media, encouraging investment in online ads. The pivot towards digital, hastened by the pandemic, saw businesses diverting budgets from traditional media to more agile and nuanced digital platforms. The rising demand for digital services motivated more companies to invest in advertising since audiences are more fragmented now than ever. A more fragmented audience requires clients to purchase advertising space on an increasing number and types of platforms to achieve a wide-reaching message. Increased data analytics and programmatic buying proficiency enable agencies to craft more targeted, measurable campaigns. Companies like Omnicom have adopted aggressive acquisition strategies to fortify their digital capabilities. In the future, advertising agencies will continue to enjoy growth, driven by solid increases in advertising expenditure. As companies adapt to benefits from the development of digital platforms, clients will seek integrated marketing solutions that combine multiple media platforms, resulting in a greater need for advertising agencies. New forms of advertising will continue to promote growth. With the dominance of mobile advertising and the prominence of connected TV due to cord-cutting trends, agencies are set to delve deeper into emerging video formats and artificial intelligence. Viral marketing will keep profit stable for advertising agencies since there are minimal costs once the advertisement is online. Privacy concerns and regulatory shifts, such as third-party cookie deprecation, will push agencies towards more privacy-centric ad models, with first-party data becoming crucial. Despite these challenges, the industry is poised for growth, driven by burgeoning corporate ad budgets and per capita disposable income. Industry revenue is forecast to mount at a CAGR of 2.6% through the end of 2029 to total $88.9 billion.

This statistic shows the results of a survey among retail managers and marketing directors concerning the distribution of investments in different digital marketing channels in Germany in 2014, and a forecast for 2017. In 2014, ad spendings for display advertising amounted to about 20.8 percent of the total budget for digital marketing. For 2017, retail managers and marketing directors expect a decrease to about 17.8 percent.