The advertising landscape during the Super Bowl in the past years has been fairly steady, with numbers of ads oscillating roughly between ** and 100, and total advertising time around ** minutes. In 2020, ** commercials were shown during the Super Bowl broadcast, amounting to a total ad time of ** minutes. The majority of TV commercials airing during the Super Bowl are ** seconds long, with some stretching out to a minute or longer, but ** seconds remains the norm and few ads are shorter than that. How much is spent on TV advertising during Super Bowl?   In the past three years, Super Bowl ads generated more than *** million U.S dollars in revenue, and in 2020 specifically the figure amounted to *** million. The average cost of a 30-second spot during that year's game was *** million U.S. dollars. The list of those who were willing to pay that price includes some prominent FMCG names, such as Anheuser-Busch, as well as major auto makers like Volksvagen.
Is spending on Super Bowl ads worth it?   It is a popular opinion among adults in the United States that Super Bowl commercials are good entertainment - the majority of surveyed Americans perceive them that way. What is more, some ** percent indicate that Super Bowl advertising makes them aware of advertiser brands, which fortunately means that companies can count on exposure to prospective customers. Therefore, Super Bowl advertising is definitely effective.

As of September 2024, approximately ** percent of adults surveyed in the United States said they had seen or heard a social media advertisement that caused them to buy a product, while ** percent reported watching a TV commercial that led them to make a purchase. However, the shares varied depending on the interviewees' age group. Around ** percent of Gen Zers shopped after seeing a social ad, while ** percent of Gen Xers did so after watching a TV commercial.

According to Cognitive Market Research, the global Mobile Advertising Market was valued at approximately USD XX billion in 2025 and is expected to grow to USD XX billion by 2031, expanding at a CAGR of XX% during the forecast period.

North America held largest share of XX% in the year 2025. Europe held share of XX% in the year 2025. Asia-Pacific held significant share of XX% in the year 2025. South America held significant share of XX% in the year 2025. Middle East and Africa held significant share of XX% in the year 2025. Market Dynamics Key Drivers

Consumer behavior – The mobile first is a key driver in the mobile advertising market

Consumer behavior has increasingly shifted towards a mobile-first approach, driven by the widespread use of smartphones and the availability of mobile internet. This surge in mobile connectivity has transformed consumer behavior with individuals increasingly relying on smartphones for daily activities like shopping, entertainment and financial transactions. The convenience and portability of mobile devices have them a preferred medium for tapping into digital services which has led businesses to adopt mobile-first strategies to engage with consumers.

For instance,

As of 2023, over half (54%) of the global population use smartphones. 
49% of the global population use mobile internet on smartphones.

(Source:https://www.gsma.com/newsroom/press-release/smartphone-owners-are-now-the-global-majority-new-gsma-report-reveals/)

This shift has led to an increase in mobile ad spending. Advertisers are no focusing on campaigns designed for smaller screens and shorter attention spans to reach a wider audience.

The rise of social media is driving the growth of mobile advertising

The growth of mobile advertising is heavily influenced by the rise of social media and its increased usage on mobile devices. Social media platforms such as Facebook, Instagram, Twitter have become major hubs for mobile advertising.

For instance,

 5.24 billion use social media worldwide, as of January, 2025.Facebook remains to be the leading social media platform with over 3 billion monthly active users, followed by YouTube with 2.5 billion and Instagram with 2 billion monthly active users.
90% of consumers rely on social media to keep up with trends and cultural moments and nearly half of them interact with brands more often on social media platforms. 

(Source: https://backlinko.com/social-media-users)

https://sproutsocial.com/insights/social-media-statistics/#social-media-usage-statistics)

The rise of in-app advertising across these platforms with the growing popularity of video and interactive ad formats has further fueled the market growth. Such advertising also leverages data to optimize targeting and engagement, leading to more effective campaigns. Paid ads now dominate social feeds.

For instance, the total spend on social media advertising is expected to reach $276 billion in 2025. It is projected that more than 80% of this spend will be generated though mobile by 2030.

(Source:https://sproutsocial.com/insights/social-media-statistics/#social-media-advertising-statistics-and-roi)

Key Restraints

Data privacy concerns to hinder mobile advertising market

Mobile phones have become a personal hub for information. With the increasing amount of sensitive data stored on these devices, privacy concerns have emerged as one of the most pressing issues. These concerns significantly hinder mobile advertising by leading to consumer distrust, ad avoidance and increased regulations that impact the effectiveness and reach of ad campaigns.

Consumers are becoming more aware of how their data is being collected and used under the context of mobile advertising, making them actively avoid interacting with ads and uninstalling apps they believe violate their privacy. This has also led to widespread adoption of ad-blocking technologies.

For instance, as of 2024, 43% of global internet users use ad-blocking tools with mobile device users accounting for 63% of them. 

(Source: https://seosandwitch.com/new-ad-blocking-stats/)

This trend is largely driven by the growing desire to protect personal data. However, the same has had implications on advertisers. Regulatory development amid these concerns further add to the challenges faced by the mobile industry market. Strict data privacy laws have b...

The graph shows the share of adults who pay attention to commercials in the United States as of April 2019, by age group. During the survey it was found that ** percent of respondents aged between 30 and 44 said they generally paid attention to commercials, compared to ** percent who said they did not.

This data set contains pounds and value for all seafood products that are landed and sold by established seafood dealers and brokers in the SE Region of the US mainland. In the US Caribbean, the landings are reported by permitted fishers. These types of data, referred to as the general canvass landings statistics, have been collected by the NOAA Fisheries Service, National Marine Fisheries Service and its predecessor agency, the Bureau of Commercial Fisheries. These data are available on computer since the mid 1920s. The quantities and values that are reported in this data set include monthly landings that were initiated in 1972. Between 1926 and 1971, data were collected annually and not monthly. Mixed annual and monthly data occur from 1972-1976 according to State and year. The general canvass landings include quantities and value for all commercially caught marine species and are identified by species or species group. These data are collected from or reported by every seafood dealer or broker that is licensed by each state in the Southeast Region (North Carolina through Texas). In addition, information on the gear and area of capture is available for most of the landings statistics in the data set except for Florida 1977-1996 and Louisiana 1992-1999. However, because these data are summaries, they do not contain information on the quantities of fishing effort or identifications of the fishermen or vessels that caught the fish or shellfish. In early years, these data were collected by field agents employed by the Southeast Fisheries Science Center and assigned to local fishing ports. These individuals would canvass the seafood dealers and record the quantity and value for each species or species category from the sales receipts maintained by the seafood dealers. Based on their detailed knowledge of the fishing activity in the area, the agents would estimate the type of fishing gear and area where the fishing was likely to have occurred. It should be noted that landings by gear and water body (fishing area) does not reside in the monthly landings data set for Florida for the years, 1977-1995, Louisiana 1990-1999, and Texas (for gear) from 1993 to present (this is subject to change for years 2008 and more recent). Annual landings by gear, water body and distance from shore are available in the Annual General Canvass data for Florida. More detailed information on the caveats associated with these data is provided in the Issues section. In more recent years, the states in the Southeast Region began to implement trip ticket programs that required the licensed seafood dealer/brokers to report the landings of all seafood products. A trip ticket program was initiated in Florida in 1985, in North Carolina in 1994, in Louisiana in 1999, in Alabama in 2000, and in Texas in 2007. In addition to the quantities of these landings, the states require dealers to report the price, the type of gear and the fishing area for each trip. Through cooperative agreements with each of the states, monthly summaries of the states trip ticket programs are provided to the Southeast Fisheries Science Center (SEFSC) and are included in the general canvass landings data set. In addition, summarized data are extracted from the NOAA-SEFSC Gulf Shrimp System for commercial landings of shrimp species that are landed at port in the coastal area of the Gulf of Mexico.

Introduction

Targeted Advertising Statistics: Targeted advertising is a marketing strategy where ads are tailored to specific groups of people based on their interests, behaviors, demographics, or online activity. Instead of showing the same message to everyone, targeted ads aim to reach the right audience with relevant content. This makes the ads more likely to engage people and lead to sales.

However, there are challenges like privacy issues, changing regulations, and the need to keep up with shifting consumer preferences. To stay effective, companies must keep improving their targeting strategies. This article will guide you accordingly, as it includes several current trends and analyses from different insights of recent years.

Global ad spend were expected to reach over $134 billion in 2022. This means that it has increased by over 17% yearly.

This dataset is about books. It has 226 rows and is filtered where the book subjects is Commercial statistics. It features 9 columns including author, publication date, language, and book publisher.

Commercial valuation data collected and maintained by the Cook County Assessor's Office, from 2021 to present. The office uses this data primarily for valuation and reporting. This dataset consolidates the individual Excel workbooks available on the Assessor's website into a single shared format. Properties are valued using similar valuation methods within each model group, per township, per year (in the year the township is reassessed). This dataset has been cleaned minimally, only enough to fit the source Excel workbooks together - because models are updated for each township in the year it is reassessed, users should expect inconsistencies within columns across time and townships. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. This data is property-level. Each 14-digit key PIN represents one commercial property. Commercial properties can and often do encompass multiple PINs. Additional notes: Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time. Data will be updated yearly, once the Assessor has finished mailing first pass values. If users need more up-to-date information they can access it through the Assessor's website. The Assessor's Office reassesses roughly one third of the county (a triad) each year. For commercial valuations, this means each year of data only contain the triad that was reassessed that year. Which triads and their constituent townships have been reassessed recently as well the year of their reassessment can be found in the Assessor's assessment calendar. One KeyPIN is one Commercial Entity. Each KeyPIN (entity) can be comprised of one single PIN (parcel), or multiple PINs as designated in the pins column. Additionally, each KeyPIN might have multiple rows if it is associated with different class codes or model groups. This can occur because many of Cook County's parcels have multiple class codes associated with them if they have multiple uses (such as residential and commercial). Users should not expect this data to be unique by any combination of available columns. Commercial properties are calculated by first determining a property’s use (office, retail, apartments, industrial, etc.), then the property is grouped with similar or like-kind property types. Next, income generated by the property such as rent or incidental income streams like parking or advertising signage is examined. Next, market-level vacancy based on location and property type is examined. In addition, new construction that has not yet been leased is also considered. Finally, expenses such as property taxes, insurance, repair and maintenance costs, property management fees, and service expenditures for professional services are examined. Once a snapshot of a property’s income statement is captured based on market data, a standard valuation metric called a “capitalization rate” to convert income to value is applied. This data was used to produce initial valuations mailed to property owners. It does not incorporate any subsequent changes to a property’s class, characteristics, valuation, or assessed value from appeals.Township codes can be found in the legend of this map. For more information on the sourcing of attached data and the preparation of this datase

In 2024, approximately ** percent of advertising and promotions managers in the United States identified as white. Little more than **** percent were Black or African American. That same year, over half of ad and promotions managers in the U.S. were female.

This page will be updated weekly from October through December. The weekly pattern of commercial paper maturing after December 31 chart and table will be replaced each week. A new row will be added to the commercial paper maturing after December 31 table each week.

This table contains 138 series, with data for years 1961 - 2001 (not all combinations necessarily have data for all years), and was last released on 2007-03-06. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Employment measures (2 items: Number of employee jobs; Hours worked for employee jobs ...), Non-business sector industries, by aggregation (69 items: Non-commercial sector industries; special aggregate; Non-commercial sector - goods; special aggregate; Non-commercial sector - services; special aggregate; Agricultural and related service industries; S-level aggregation ...).

Names of parking lot owners and inventory Update Frequency: Semi-Annually

Spending on online advertising has surged, and it has become the preferred advertising medium over traditional channels like TV and print. This has been driven by a significant shift in consumer behaviour towards the internet, social media and online shopping, which consumers became more accustomed to during the pandemic. Advertising agencies are navigating increasing privacy concerns and stricter regulations, highlighted by the $60.0 million fine against Google for misleading data practices. Profitability has expanded as companies adopt artificial intelligence, with more than one-quarter of Google's code now being AI-generated and major companies like Facebook reducing labour costs through significant workforce cuts. Industrywide revenue has been climbing at an annualised 8.2% over the past five years and is expected to total $17.1 billion in 2024-25, when revenue will climb by 5.7%. The Online Advertising industry exhibits high market share concentration because of the substantial barriers to entry and the dominance of major players Google and Facebook. Google leads the search engine market, controlling around 95%, largely because it is the default search engine on popular browsers like Chrome and Safari. Access to large user volumes is crucial for online advertisers, as it encourages companies to increase spending on online ads. Extensive user data is also essential for training algorithms to deliver targeted advertising, enabling firms like Google, REA Group and Facebook Australia to charge higher premiums for their services. This data advantage, international firms' larger budgets and fewer regulatory constraints make it challenging for domestic companies to compete. The Online Advertising industry is on track to continue expanding, although at slower rates. Privacy concerns and stricter data usage regulations are set to limit advertisers' access to consumer data, especially with major web browsers' phasing out of third-party cookies. This will compel advertisers to innovate and emphasise first-party data by creating engaging, interactive experiences to encourage users to share information willingly. Adopting artificial intelligence technologies will enable advertisers to optimise ad placements, better understand user behaviour and reduce labour dependence. Industry revenue is forecast to expand at an annualised 6.8% through 2029-30 to total $23.8 billion.

This dataset contains Commercial (Comm) Radio Occultation (RO) raw data from Spire Global Subsidiary, which is an established method for remote sounding of the atmosphere. The technique uses an instrument in low-Earth orbit (LEO) to track radio signals from Global Navigation Satellite System (GNSS) transmitters as they rise or set through the atmosphere. The occulting atmosphere refracts or bends the radio signals, and given the precise positions of both satellites, the bending angle can be deduced from the time delay of the signal. Collecting these measurements for a full occultation through the atmosphere provides a vertical profile of bending angles, from which profiles of physical quantities such as temperature, humidity, and ionospheric electron density can be retrieved. These data primarily feed numerical weather prediction (NWP) models that support weather forecasts, and also support space weather analysis/prediction at NOAA.

During a 2023 survey, ** percent of responding marketers from across the world stated they often or sometimes used Facebook ads in their work. According to the results of this survey, Facebook was the most used ad platform. Instagram ranked second, with ** percent of respondents saying they often or sometimes used ads on this platform.

As per newly released data by Future Market Insights (FMI), the global salеs of the nativе advеrtising industry is еstimatеd to be worth USD 103,229.3 million in 2025 and anticipatеd to reach a value of USD 733,315.8 million by 2035. Salеs arе projеctеd to risе at a CAGR of 21.7% ovеr thе forеcast pеriod bеtwееn 2025 and 2035. Share of native advertising market in its parent market (global advertising market) is 20% to 25%.

Semi-Annual Industry Update

Annual data on Canada's international commercial services are presented by category of commercial services. Geographical details cover United States, European Union countries, and all other countries. Data are also available by category of affiliation.

Data tables in this section present the commercial fisheries landings for the top 40 producing countries in the world. The data covers the period from 1990-2018 and are based on the most recent statistics available from the Food and Agriculture Organization of the United Nations (FAO).

Japan CSPI: Advertising: TV and Ratio Advertising: TV Commercials data was reported at 112.100 1990=100 in Oct 1999. This records an increase from the previous number of 106.200 1990=100 for Sep 1999. Japan CSPI: Advertising: TV and Ratio Advertising: TV Commercials data is updated monthly, averaging 103.800 1990=100 from Jan 1990 (Median) to Oct 1999, with 118 observations. The data reached an all-time high of 115.900 1990=100 in Mar 1999 and a record low of 89.300 1990=100 in Aug 1993. Japan CSPI: Advertising: TV and Ratio Advertising: TV Commercials data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I046: Corporate Service Price Index: 1990=100.