You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.
Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.
Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.
Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.
This database is available in JSON format only.
You don’t have to download fresh data dumps in JSON – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.
You can check the fields description in the documentation: current Keyword database: https://docs.dataforseo.com/v3/databases/google/keywords/?bash; Historical Keyword database: https://docs.dataforseo.com/v3/databases/google/history/keywords/?bash. You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.
Based on a survey conducted in 2019 among internet users in the United States, the majority of adults (36 percent) admitted they would switch search engines if it meant getting better quality results. Furthermore, 33.7 percent stated that knowing their data was not being collected by a platform would also encourage them to make the switch. Other factors listed included 'having fewer ads' and a well designed interface. Overall, there was a noticeable lean toward search result quality and data privacy when it came to search engine selection.
Google leads despite user preference for increased privacy
Despite a strong consumer call for data protection, Google topped the list when it came to search engines with 93 percent of Americans surveyed reporting to having used the popular search giant at some point during the past 4 weeks. In comparison, the second most popular platform Yahoo! had only been used by 31 percent of those surveyed. Meanwhile DuckDuckGo, the search engine most known for protecting user data and search history had only been used by 8 percent. Mobile search figures lean even more in Google's favor. Here, a similar share (93 percent) of the market as of January 2021 belonged to Google, while approximately 3 percent was held by DuckDuckGo.
Growth expected for search advertising
With search engines playing a significant role in internet use be it on desktop or mobile, companies and search platforms alike are seeing an increased opportunity in the field of search engine advertising. Nationwide spend in the industry reached an impressive 58.2 billion U.S. dollars in 2020, and was forecast to further rise to 66.2 billion within the following year.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
The Search Engine industry is highly concentrated, with three companies controlling almost the entire industry; the largest company, Alphabet Inc., has a market share greater than 96%. Search engines provide web portals that generate and maintain extensive databases of internet addresses. Industry companies generate most, if not all, of their revenue from advertising. Technological growth has resulted in more households being connected to the Internet, and a boom in e-commerce has made the industry increasingly innovative. Over the past decade, a climb in the percentage of households with internet access has supported revenue growth, while increasing technological integration with daily life has increased demand for industry services. A greater proportion of transactions being carried out online has driven innovation in targeted digital advertising, with declines in rival advertising formats like print media and television increasing the focus on digital marketing as a core strategy. Industry revenue is expected to increase at a compound annual rate of 4.7%, to reach £5.1 billion over the five years through 2024-25. Revenue is forecast to climb by 4.7% in 2024-25. Industry profit has remained high, expanding to 34.2% in 2024-25. The rise of the mobile advertising market and the proliferation of mobile devices mean there are plenty of opportunities for search engines, which are expected to capitalise on these trends further moving forward. Smartphones could disrupt the industry's status quo, as the rising popularity of devices that do not use Google as the default engine benefits other search providers. Technological advancements that incorporate user data are anticipated to make it easier to tailor advertisements and develop new ways of using consumer data. Industry revenue is forecast to jump at a compound annual rate of 6% over the five years through 2029-30, to reach £6.8 billion.
In January 2025, Google remained by far the most popular search engine in the UK, holding a market share of ***** percent across all devices. That month, Bing had a market share of approximately **** percent in second place, followed by Yahoo! with approximately **** percent. The EU vs Google Despite Google’s dominance of the search engine market, maintaining its position at the top has not been a smooth ride. Google’s market share saw a decline in the summer of 2018, plummeting to an all-time-low in July. The search engine experienced a similar dip in June and July 2017. These two low points coincided with the European Commission’s antitrust charges against the company, both of which were unprecedented in the now decade-long duel between both parties. As skepticism towards search engine platforms grows in line with public concern regarding censorship and data privacy, alternative services like Duckduckgo offer users both information protection and unfiltered results. Despite this, it still held less than *** percent of the industry’s market share as of June 2021. Perception of fake news in the UK According to a questionnaire conducted in the United Kingdom in 2018, **** percent of respondents had come across inaccurate news on social media at least once before. Rising concerns over fake news, or information which has been manipulated to influence the public has been a hot topic in recent years. The younger generation however, remains skeptical with nearly **** of Generation Z claiming to be either unconcerned about fake news, or believed that it did not exist altogether.
Business Listings Database is the source of point-of-interest data and can provide you with all the information you need to analyze how specific places are used, what kinds of audiences they attract, and how their visitor profile changes over time.
The full fields description may be found on this page: https://docs.dataforseo.com/v3/databases/business_listings/?bash
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Search engines, which collect, organize and display knowledge of the internet, are the backbone of the information age and have helped popularize the ad-supported attention economy that prevails throughout the internet. From 2019 to 2024, spending on internet advertising has maintained strong momentum as consumer demand for internet access continued to surge, driven by the adoption of LTE, 5G and unlimited mobile data plans. Despite COVID-19 depressing total advertising expenditure, digital advertising continued to grow as consumers practically lived online while stay-at-home orders were in place. As a result, search engine revenue from advertising is slated to mount at a CAGR of 10.4% to $287.5 billion, including an anticipated hike of 8.4% in 2024, with profit at 18.7%. The search engine industry is fundamentally differentiated from the rest of the economy by its advertising sales framework, market aggregation and high interconnection with other industries. While search is a consumer product, search revenue comes from a platform's desirability to advertisers, not users. Search platforms must balance providing the best search experience while integrating as many advertisements as possible. This difficult balance is challenging to achieve because advertising dollars tend to scale best on the leading search platform, increasing aggregation forces for search providers. The market leaders in search, Google and Microsoft, have met this balance by using advertising revenue to grow a suite of services designed to collect extensive behavior information on and off the search website. This data then targets ads to hyper-specific markets, funding the search business model. As the number of hours spent on the internet continues to mount, search engine revenue is poised to climb at a CAGR of 7.1% to $404.9 billion through the end of 2029. Advertisers will rely increasingly on search engine marketing due to its cost-effectiveness and efficiency advantages over traditional media. With proper analytics software installed, marketers can track which terms, advertisements and websites are the most effective, enabling incremental real-time tweaks and improvements in advertising campaigns. Artificial intelligence has promised to change the purpose of search from navigation to finding answers, which will change the structure of the internet, just as search engine providers have done many times before.
In April 2025, Google accounted for ***** percent of the search market in the United States across all devices. Bing followed as the second leading search provider in the United States during the last examined month, with a share of around *** percent, among the engine's highest quotas registered in the country to date.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Singapore Internet Usage: Search Engine Market Share: Tablet: StartPagina (Google) data was reported at 0.000 % in 11 Dec 2024. This stayed constant from the previous number of 0.000 % for 10 Dec 2024. Singapore Internet Usage: Search Engine Market Share: Tablet: StartPagina (Google) data is updated daily, averaging 0.000 % from Dec 2024 (Median) to 11 Dec 2024, with 9 observations. The data reached an all-time high of 0.060 % in 07 Dec 2024 and a record low of 0.000 % in 11 Dec 2024. Singapore Internet Usage: Search Engine Market Share: Tablet: StartPagina (Google) data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Singapore – Table SG.SC.IU: Internet Usage: Search Engine Market Share.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Belarus Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data was reported at 0.000 % in 09 Mar 2025. This records a decrease from the previous number of 0.030 % for 08 Mar 2025. Belarus Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data is updated daily, averaging 0.000 % from Mar 2025 (Median) to 09 Mar 2025, with 9 observations. The data reached an all-time high of 0.070 % in 05 Mar 2025 and a record low of 0.000 % in 09 Mar 2025. Belarus Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Belarus – Table BY.SC.IU: Internet Usage: Search Engine Market Share.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The goal of this research is to examine direct answers in Google web search engine. Dataset was collected using Senuto (https://www.senuto.com/). Senuto is as an online tool, that extracts data on websites visibility from Google search engine.
Dataset contains the following elements:
keyword,
number of monthly searches,
featured domain,
featured main domain,
featured position,
featured type,
featured url,
content,
content length.
Dataset with visibility structure has 743 798 keywords that were resulting in SERPs with direct answer.
https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy
According to Cognitive Market Research, the global Enterprise Search Engine market size will be USD 4358.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 9.70% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 1743.28 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1307.46 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 1002.39 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.7% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 217.91 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.1% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 87.16 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.4% from 2024 to 2031.
The Solution category is the fastest growing segment of the Enterprise Search Engine industry
Market Dynamics of Enterprise Search Engine Market
Key Drivers for Enterprise Search Engine Market
Increasing Data Volume to Boost Market Growth
The increasing volume of data generated by organizations is a primary driver of the Enterprise Search Engine Market. As businesses accumulate vast amounts of structured and unstructured data from various sources—such as emails, documents, social media, and databases—the need for efficient retrieval and management becomes critical. Enterprise search engines enable organizations to sift through this data quickly, providing employees with timely access to information that can enhance decision-making and productivity. Additionally, the proliferation of big data technologies and cloud storage solutions contributes to data growth, necessitating robust search capabilities to ensure that valuable insights are not lost. This demand for streamlined access to comprehensive information continues to fuel the expansion of the enterprise search engine market. For instance, Google launched local search functionalities that were previewed earlier this year. These features enable users to explore their environment using their smartphone camera. Additionally, Google has added an option to search for restaurants by specific dishes and introduced new search capabilities within the Live View feature of Google Maps.
Increasing Demand for Data-Driven Decision-Making to Drive Market Growth
The rising demand for data-driven decision-making is significantly driving the Enterprise Search Engine Market. Organizations increasingly recognize the value of leveraging data analytics to inform strategic decisions, enhance operational efficiency, and improve customer experiences. As businesses strive to become more agile and responsive to market changes, they require quick access to relevant data across various departments and sources. Enterprise search engines facilitate this by enabling employees to efficiently retrieve and analyze critical information, thus supporting informed decision-making processes. Moreover, the integration of advanced analytics and artificial intelligence into enterprise search solutions further empowers organizations to derive actionable insights from their data. This trend towards a data-centric approach in business operations continues to propel the growth of the enterprise search engine market.
Restraint Factor for the Enterprise Search Engine Market
High Implementation Costs will Limit Market Growth
High implementation costs are a significant restraint on the growth of the Enterprise Search Engine Market. Deploying enterprise search solutions often involves substantial initial investments in software, hardware, and integration services. Organizations must consider expenses related to customizing the search engine to fit their unique data architectures and user needs. Additionally, ongoing maintenance, updates, and training for staff can contribute to overall costs, making it challenging for smaller businesses or those with limited budgets to adopt these systems. This financial barrier can hinder organizations from fully realizing the benefits of enterprise search engines, leading to under...
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Our research data compares the effects of generative AI, such as ChatGPT, with traditional search engines across various search tasks and examines their combined use.
You can check the fields description in the documentation: regular SERP: https://docs.dataforseo.com/v3/databases/google/serp_regular/?bash; Advanced SERP: https://docs.dataforseo.com/v3/databases/google/serp_advanced/?bash; Historical SERP: https://docs.dataforseo.com/v3/databases/google/history/serp_advanced/?bash You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Ultimate Arabic News Dataset is a collection of single-label modern Arabic texts that are used in news websites and press articles.
Arabic news data was collected by web scraping techniques from many famous news sites such as Al-Arabiya, Al-Youm Al-Sabea (Youm7), the news published on the Google search engine and other various sources.
UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words, numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural language processing tasks such as text classification.
UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text classification.
1- Sample: This folder contains samples of the results of web-scraping techniques for two popular Arab websites in two different news categories, Sports and Politics. this folder contain two datasets:
Sample_Youm7_Politic: An example of news in the "Politic" category collected from the Youm7 website. Sample_alarabiya_Sport: An example of news in the "Sport" category collected from the Al-Arabiya website.
2- Dataset Versions: This volume contains four different versions of the original data set, from which the appropriate version can be selected for use in text classification techniques. The first data set (Original) contains the raw data without pre-processing the data in any way, so the number of tokens in the first data set is very high. In the second data set (Original_without_Stop) the data was cleaned, such as removing symbols, numbers, and non-Arabic words, as well as stop words, so the number of symbols is greatly reduced. In the third dataset (Original_with_Stem) the data was cleaned, and text stemming technique was used to remove all additions and suffixes that might affect the accuracy of the results and to obtain the words roots. In the 4th edition of the dataset (Original_Without_Stop_Stem) all preprocessing techniques such as data cleaning, stop word removal and text stemming technique were applied, so we note that the number of tokens in the 4th edition is the lowest among all releases.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Abstract (our paper)
The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. We found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends.
Data
personal-name.txt.gz:
The first column is the Wikipedia article id, the second column is the search keyword, the third column is the Wikipedia article title, and the fourth column is the total of page views from 2008 to 2014.
personal-name_data_google-trends.txt.gz, personal-name_data_wikipedia.txt.gz:
The first column is the period to be collected, the second column is the source (Google or Wikipedia), the third column is the Wikipedia article id, the fourth column is the search keyword, the fifth column is the date, and the sixth column is the value of search trend or page view.
Publication
This data set was created for our study. If you make use of this data set, please cite:
Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto. Wikipedia Page View Reflects Web Search Trend. Proceedings of the 2015 ACM Web Science Conference (WebSci '15). no.65, pp.1-2, 2015.
http://dx.doi.org/10.1145/2786451.2786495
http://arxiv.org/abs/1509.02218 (author-created version)
Note
The raw data of Wikipedia page views is available in the following page.
http://dumps.wikimedia.org/other/pagecounts-raw/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Montenegro Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data was reported at 0.000 % in 05 Oct 2024. This stayed constant from the previous number of 0.000 % for 04 Oct 2024. Montenegro Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data is updated daily, averaging 0.000 % from Sep 2024 (Median) to 05 Oct 2024, with 9 observations. The data reached an all-time high of 0.050 % in 01 Oct 2024 and a record low of 0.000 % in 05 Oct 2024. Montenegro Internet Usage: Search Engine Market Share: Desktop: StartPagina (Google) data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Montenegro – Table ME.SC.IU: Internet Usage: Search Engine Market Share.
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The local search engine market, encompassing platforms like Google, Yelp, and others, is a dynamic and rapidly evolving sector. While precise figures for market size and CAGR are unavailable, we can infer significant growth based on the consistently increasing reliance on digital platforms for local business discovery. The market's value is likely in the billions, driven by the expanding use of smartphones, increased e-commerce activity, and a growing need for businesses to connect with hyperlocal customers. Key drivers include the rising adoption of location-based services, improved mobile search capabilities, and the ongoing evolution of search engine algorithms to provide increasingly relevant and personalized results. Trends like voice search optimization, augmented reality (AR) integration in local search, and the continued importance of local SEO are shaping the market landscape. However, restraints exist, primarily in the form of competition among numerous established players and the ongoing challenge of maintaining data accuracy and managing user reviews effectively. Segmentation within the market includes various platform types (e.g., general search engines, dedicated review sites, hyperlocal directories), business sizes (SMBs vs. large enterprises), and service categories (restaurants, healthcare, home services). The competitive landscape is highly concentrated, with established giants like Google, Yelp, and Facebook holding significant market share. Smaller, niche players continue to compete by offering specialized features or focusing on specific geographic areas or industries. Future growth will depend on technological innovation, the ability to adapt to evolving user behavior, and the successful integration of new data sources and technologies such as AI and machine learning for better search and recommendation capabilities. While challenges remain in addressing issues like data biases and ensuring the accuracy of business information, the overall outlook for the local search engine market remains positive, driven by sustained digital adoption and a growing need for efficient, hyperlocal business discovery.
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Search Engine Market size was valued at USD 167 Billion in 2024 and is projected to reach USD 531.2 Billion by 2031, growing at a CAGR of 11.1% during the forecast period 2024-2031.
Global Search Engine Market Drivers
The market drivers for the Search Engine Market can be influenced by various factors. These may include:
Growth in Internet Penetration: Increase in internet accessibility worldwide, with more individuals and businesses going online.
Rising Mobile Device Usage: Surge in smartphone and tablet usage, leading to more searches conducted via mobile devices.
E-commerce Expansion: Growth in online shopping boosts search engine usage as consumers look for products and services online.
Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and natural language processing enhance search engine functionalities.
Marketing and Advertising Needs: Increased demand for digital marketing and search engine optimization (SEO) as companies seek to improve online visibility.
Big Data Analytics: Use of big data to refine search algorithms and provide more personalized search results.
Voice Search and Virtual Assistants: Rising popularity of voice-activated searches through devices like Amazon Echo and Google Home.
Local Search Optimization: Growth in localized searches as businesses focus on targeting specific geographic areas.
Content Digitalization: Increasing volumes of digital content available on the internet, making search engines critical tools for information retrieval.
Improvement in User Experience: Enhanced user interfaces and faster search results improve user satisfaction and drive more frequent usage.
You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.
Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.
Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.
Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.
This database is available in JSON format only.
You don’t have to download fresh data dumps in JSON – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.