In February 2025, Verizon Media processed **** million online search queries in the United States, and market leader Google processed over **** million search queries. In total, Google accounted for ** percent of the U.S. desktop search queries. Google was also the leading mobile search provider in the United States, accounting for around ** percent of the market as of March 2024.

Search platform DuckDuckGo has seen a month-on-month increase in its number of daily search queries over the past 12 months. The search engine, which promises the absence of targeted searches based on user history and and total search privacy had received an average of **** million queries daily in August 2020. By August 2021, this stood at ***** million.

As of March 2025, Google represented 79.1 percent of the global online search engine market on desktop devices. Despite being much ahead of its competitors, this represents the lowest share ever recorded by the search engine in these devices for over two decades. Meanwhile, its long-time competitor Bing accounted for 12.21 percent, as tools like Yahoo and Yandex held shares of over 2.9 percent each. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of 2.02 trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly 348.16 billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than 63 percent of internet users in Russia used Yandex, whereas Google users represented little over 33 percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over 21 percent of users in Mexico said they used Yahoo.

In 2022, Wordle was the most popular Google search in the United States, the United Kingdom, Canada, and Spain. By contrast, in Germany and Italy, Ukraine was the most popular search on Google. In Brazil, Google users were interested the most in the 2022 elections.

Wordle!

Launched in October 2021 and purchased by the New York Times in January 2022, Wordle is an online game where players can play only once a day and have to guess a five-letter word in six tries. The game became an instant hit, with a surge of daily users at the beginning of the year. For instance, it was one of the most popular iPhone apps in the United States, being played mostly by millennials. Also in the United Kingdom, the game gained in popularity, with most players using the app every day.

Google search

As the leading search engine in many countries, Google is the most visited multi-platform web property. Indeed, most of Google's revenues come from Google properties, which include the search platform, the traffic generated by search distribution partners using Google.com as their default search in browsers, and the advertising on its own sites.

As of the third quarter of 2024, internet users in South Africa spent more than **** hours and ** minutes online per day, ranking first among the regions worldwide. Brazil followed, with roughly **** hours of daily online usage. As of the examined period, Japan registered the lowest number of daily hours spent online, with users in the country spending an average of over **** hours per day using the internet. The data includes the daily time spent online on any device. Social media usage In recent years, social media has become integral to internet users' daily lives, with users spending an average of *** minutes daily on social media activities. In April 2024, global social network penetration reached **** percent, highlighting its widespread adoption. Among the various platforms, YouTube stands out, with over *** billion monthly active users, making it one of the most popular social media platforms. YouTube’s global popularity In 2023, the keyword "YouTube" ranked among the most popular search queries on Google, highlighting the platform's immense popularity. YouTube generated most of its traffic through mobile devices, with about 98 billion visits. This popularity was particularly evident in the United Arab Emirates, where YouTube penetration reached approximately **** percent, the highest in the world.

In February 2025, Microsoft Sites handled **** percent of all search queries in the United States. During the same period, Verizon Media (formerly known as Yahoo and Oath) had a search market share of little less than ** percent. Market leader Google generated **** percent of all core search queries in the United States.

We live in a computerized and networked society where many of our actions leave a digital trace and affect other people’s actions. This has lead to the emergence of a new data-driven research field: mathematical methods of computer science, statistical physics and sociometry provide insights on a wide range of disciplines ranging from social science to human mobility. A recent important discovery is that search engine traffic (i.e., the number of requests submitted by users to search engines on the www) can be used to track and, in some cases, to anticipate the dynamics of social phenomena. Successful examples include unemployment levels, car and home sales, and epidemics spreading. Few recent works applied this approach to stock prices and market sentiment. However, it remains unclear if trends in financial markets can be anticipated by the collective wisdom of on-line users on the web. Here we show that daily trading volumes of stocks traded in NASDAQ-100 are correlated with daily volumes of queries related to the same stocks. In particular, query volumes anticipate in many cases peaks of trading by one day or more. Our analysis is carried out on a unique dataset of queries, submitted to an important web search engine, which enable us to investigate also the user behavior. We show that the query volume dynamics emerges from the collective but seemingly uncoordinated activity of many users. These findings contribute to the debate on the identification of early warnings of financial systemic risk, based on the activity of users of the www.

We provide detailed web activity data from users browsing popular websites worldwide. This comprehensive data allows for in-depth analysis of web behavior, enabling the creation of precise audience segments based on web activity. These segments can be used to target ads effectively, focusing on users' interests and their search or browsing intent.

Web Data Reach

Our web data reach includes extensive counts across various categories, covering attributes such as country, anonymous ID, IP addresses, search queries, and more.

• Record Count: 200 Million
• Capturing Frequency: Once per Event
• Delivering Frequency: Once per Day
• Updated: Monthly
• Historic Data: Past 6 Months

Data Export Methodology

We dynamically collect and update data, providing the latest insights through the most appropriate method at intervals that best suit your needs, whether daily, weekly, or monthly.

Use Cases

Our web activity data is instrumental for personalized targeting, data enrichment, market intelligence, and enhancing fraud and cybersecurity measures, helping businesses optimize their strategies and security efforts.

OutreachGenius's Intent data offers a comprehensive solution for businesses aiming to enhance their marketing strategies through precise, real-time intent data. By delivering over 3 billion new data points daily across more than 21,000 unique B2B and B2C topic categories. OutreachGenius provides unparalleled insights into online search trends and user behaviors.

Key Features:

Real-Time Data Acquisition: OutreachGenius captures and processes billions of user interactions every 24 hours, ensuring access to the most current and relevant intent data.

Extensive Topic Coverage: With tracking across 21,000+ unique topic categories, businesses can delve into specific interests and niches, facilitating highly targeted marketing efforts.

30-Day Data Repository: OutreachGenius maintains a rolling 30-day archive of intent data, enabling trend analysis and behavioral predictions to inform strategic decision-making.

Person-Level Insights: OutreachGenius goes beyond aggregate data, offering granular insights into individual user preferences and behaviors for precise audience targeting.

AI-Driven Outreach Automation: Leveraging artificial intelligence, OutreachGenius automates personalized outreach, streamlining communication processes and enhancing engagement and lead generation.

Data Sourcing and Uniqueness:

OutreachGenius's data is sourced from a vast array of online user interactions, including search queries, website visits, and content engagement. This extensive data collection is processed in real-time, ensuring that businesses receive the most up-to-date insights.

OutreachGenius's ability to deliver person-level intent data across a wide spectrum of topics sets it apart, providing a depth of insight that is both unique and actionable.

Primary Use Cases:

Targeted Marketing/Lead Generation Campaigns: Utilize detailed intent data to craft marketing messages that resonate with specific audience segments, improving conversion rates.

Sales Prospecting: Identify potential leads exhibiting interest in relevant topics, enabling sales teams to prioritize outreach efforts effectively.

Product Development: Gain insights into emerging trends and consumer interests to guide product innovation and development strategies.

Competitive Analysis: Monitor shifts in market interest and competitor activities to maintain a competitive edge.

Integration and Accessibility:

OutreachGenius's intent data is designed for seamless integration into existing systems, offering API and webhook access for efficient data utilization.

This flexibility ensures that businesses can incorporate intent data into their workflows without disruption, enhancing the effectiveness of their marketing and sales operations.

In summary, OutreachGenius's intent data provides a robust platform for businesses seeking to leverage real-time intent data to drive marketing success. Its unique combination of extensive data coverage, real-time processing, and person-level insights makes it an invaluable tool for informed decision-making and strategic planning.

Main dataset (main.csv)

The main file contains an entry (N=28530) per search result in all collected pages. It comprises the following columns:

1. id: Unique identifier of the file (corresponds to the last part of the filename)
2. filename: Name of the file associated with the row (the file is in serp_html.zip)
3. engine: The search engine used (Google Scholar or Semantic Scholar).
4. browser: The web browser used for the search (Firefox or Chrome)
5. region: The geographical region where the search was made.
6. year: The year when the search was made
7. month: The month when the search was made
8. day: The day when the search was made
9. query: The full search query that was used
10. query_type: The type of the search query (health or technology)
11. topic: The topic associated with the search query ('covid vaccines', 'cryptocurrencies', 'internet', 'social media', 'vaccines', 'coffee')
12. trt: Treatment variable associated with the search (benefits or risks).
13. url: The URL of the (article) search result
14. title: The title of the (article) search result.
15. authorship: The author(s) of the (article) search result.
16. abstract_id: Unique identifier for the abstract of the (article) search result which connects with annotated-abstracts_v0.6.xlsx
17. abstract_hash: Hash value of the abstract for data integrity
18. link_n: The total number of results in the search page
19. rank: The rank of the search result on the search engine results page.
20. annotation: Any annotations associated with the (article's abstract) search result. One of: '3. Confirms both benefits and risks', '4. Confirms neither benefits nor risks', '1. Confirms benefits', '2. Confirms risks', '5. Abstract not related to {topic}')
21. valence: -1 for abstracts containing risks, 0 for neutral abstracts, 1 for abstracts only containing benefits

Annotated abstracts (annotated-abstracts_v0.6.xlsx)

Manually annotated abstracts resulting from the searches.

Raw search engine result pages (serp_html.zip)

The zip contains an HTML per search engine result page collected (N=2853). See column filename from the main dataset.

This statistic shows a projection of the local search query volume in the United States from 2014 to 2019, sorted by platform. In 2016, mobile local search query volume is estimated to reach 94.7 billion searches.

The dataset contains the query suggestions for 5 major German parties (terms: "afd", "csu", "dielinke", "fdp", "grüne", "spd") and ten popular politicians and party leaders (terms: "Alexander Gauland", "Alice Weidel", "Angela Merkel", "Cem Özdemir", "Christian Lindner", "Dietmar Bartsch", "Katrin Göring-Eckardt", "Martin Schulz", "Sahra Wagenknecht").

The data was crawled on (mostly) two times per day from Tue Aug 04, 2017 to Tue Oct 31, 2017. The dataset contains 20001 suggestions from Bing search (http://api.bing.net/osjson.aspx), 11935 suggestions from Duck-Duck-Go (https://duckduckgo.com/ac/) and 33521 suggestions from Google search (http://clients1.google.de/complete/search). Note, that for some terms and dates no suggestions were returned by some of the APIs.

German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany.

The UTF-8 encoded comma separated text file contains the following columns:

: google, bing or ddg

All computer code necessary to reproduce our analysis can be found compressed as a .zip file. This code contains components of Wikipedia data [26] and NASA humidity data [41]. Re-use only permitted according to their policies.

Number of searches for long-COVID using the Yahoo! JAPAN search engine, by gender and age in the years 2020, 2021, and 2022.

The top search queries represent the most popular search terms relevant to oral health that has been used in the specified time period. 40 search terms (strategies) were obtained from Google Trends. (XLSX)

Long-COVID online search volume and top 10 symptoms (2020–2022).

As of February 2025, several search terms were googled especially actively by German internet users. Among these, the leading three were ‘handball wm’ (handball championship), ‘australian open 2025’ and ‘handball wm 2025’. The terms reflect events, certain dates and ensuing media coverage taking place at the time, in this case about the handball championship and the Australian Open tennis tournament. Always searching Daily life seems unthinkable without using an online search engine, whether for longer research or quickly checking something, or even just to avoid setting bookmarks, typing in URLs. Google has by far the highest share among online search engines used on desktop and mobile devices at almost 90 percent of searches done on Google, followed by Bing and Ecosia. While DuckDuckGo was further down on the list, its market share has been rising in Germany. Google may still have a substantial head start compared to its competitors, but users are increasingly apprehensive about data privacy and protection in connection with how the online search giant uses and stores personal information, as well as tracks search queries. Searching for Trees Ecosia is an environmentally friendly search engine with a unique business model that sets it apart from other search engines. It uses the revenue from search ads to plant trees worldwide and support reforestation projects. Every time a user performs a search on Ecosia, they indirectly contribute to reforestation, as one tree is planted for every 45 searches.The search engine market share held by Ecosia has been growing in recent years, especially in Germany where the company is based, and in other countries in Europe. Ecosia, similarly to other alternative search engines (e.g. DuckDuckGo), uses Bing to power its results.

This statistic presents the most popular first choice for performing searches as stated by adults in the United States as of April 2018. According to the findings, 44 percent of respondents stated their first choice in terms of performing searches was their mobile browser, while in comparison 16 percent stated their first choice being their search engine app or voice search.

According to a study on Valentine's Day in the United States, the online search queries "what is Galentine’s Day" and its variant "what is Galentines Day" was of around 11.8 thousand in January 2023, their highest value to date for this month. So far, the highest volume of online searches registered for the unofficial holiday was during February 2019, with 124.8 thousand searches for both queries. Overall, the online searches related to the festivity, idealized in the television series Parks and Recreation by Amy Poehler's character Leslie Knope in season 2, episode 16, have remained stable but had a whopping growth in 2022, also gaining momentum in January in 2023, with 322 thousand searches.

The ad spending is forecast to experience significant growth in all segments in 2028. The trend observed from 2019 to 2028 remains consistent throughout the entire forecast period. There is a continuous increase in the indicator across all segments. Notably, the Search Advertising Mobile segment achieves the highest value of 123.59 billion U.S. dollars at 2028. Find other insights concerning similar markets and segments, such as a comparison of revenue growth in the United Kingdom and a comparison of share of revenue generated via desktop purchases in Russia. The Statista Market Insights cover a broad range of additional markets.