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.

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 April 2025, Google accounted for over ** percent of the mobile search market in the United States. With approximately ** percent reach among mobile audiences, Google Search is also one of the most popular mobile apps in the United States. DuckDuckGo and Yahoo! followed as the leading mobile search providers in the United States during the last examined month, with shares of around *** percent each.

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.

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.

We asked U.S. consumers about "Most used search engines by brand" and found that ******** takes the top spot, while ******** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 13,689 consumers in the United States.

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United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data.

Purpose

As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data.

An inventory of current agricultural data sharing options will help assess how the Ag Data Commons, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to

• establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals
• compare how much data is in institutional vs. domain-specific vs. federal platforms
• determine which repositories are recommended by top journals that require or recommend the publication of supporting data
• ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data

Approach

The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered.

Search methods

We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects.

We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories.

Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo.

Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories.

Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals.

Evaluation

We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results.

We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind.

Results

A summary of the major findings from our data review:

• Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors.
• There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection.
• Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation.

The Interactive Advertising is projected to be valued at $XX billion in 2024, driven by factors such as increasing consumer awareness and the rising prevalence of industry-specific trends. The market is expected to grow at a CAGR of YY%, reaching approximately $ZZ billion by 2034.

Snapshot img

Recommendation Engine Market Size 2024-2028

The recommendation engine market size is forecast to increase by USD 1.66 billion, at a CAGR of 39.91% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing digitalization of various industries and the rising demand for personalized recommendations. As businesses strive to enhance customer experience and engagement, recommendation engines have become essential tools for delivering tailored product or content suggestions. However, this market is not without challenges. One of the most pressing issues is ensuring accuracy in data prediction. With the vast amounts of data being generated daily, the ability to analyze and make accurate predictions is crucial for the success of recommendation engines. This requires advanced algorithms and machine learning capabilities to effectively understand user behavior and preferences. Companies seeking to capitalize on this market's opportunities must invest in developing sophisticated recommendation engines that can navigate the complexities of data analysis and prediction, while also addressing the challenges related to data accuracy. By doing so, they will be well-positioned to meet the growing demand for personalized recommendations and stay competitive in the digital landscape.

What will be the Size of the Recommendation Engine Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market continues to evolve, driven by advancements in big data, machine learning, and artificial intelligence. These technologies enable the development of more sophisticated recommendation systems, which are finding applications across various sectors. Model evaluation and cloud computing play a crucial role in ensuring the accuracy and efficiency of these systems. Feature engineering and data visualization help in extracting insights from complex data sets, while collaborative filtering and search engines facilitate personalized recommendations. Ethical considerations, privacy concerns, and data security are becoming increasingly important in the development of recommendation engines. User behavior analysis and user interface design are essential for optimizing user experience. Offline recommendations and social media platforms are expanding the reach of recommendation systems, while predictive analytics and performance optimization enhance their effectiveness. Data preprocessing, data mining, and customer segmentation are integral to the data analysis phase of recommendation engine development. Real-time recommendations, natural language processing, and recommendation diversity are key features that differentiate modern recommendation systems from their predecessors. Hybrid recommendations, data enrichment, and deep learning are emerging trends in the market. Recommendation systems are transforming e-commerce platforms by improving product discovery and conversion rate optimization. Model training and algorithm optimization are ongoing processes to ensure recommendation accuracy and relevance. The market dynamics of recommendation engines are constantly unfolding, reflecting the continuous innovation and evolution in this field.

How is this Recommendation Engine Industry segmented?

The recommendation engine industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. End-userMedia and entertainmentRetailTravel and tourismOthersTypeCloudOn-premisesGeographyNorth AmericaUSEuropeGermanyAPACChinaIndiaJapanRest of World (ROW)

By End-user Insights

The media and entertainment segment is estimated to witness significant growth during the forecast period.In the digital age, recommendation engines have become an essential component for various industries, particularly in the media and entertainment segment. These engines utilize big data from content management systems and user behavior analysis to deliver accurate and relevant recommendations for articles, news, games, music, movies, and more. Advanced technologies like machine learning, artificial intelligence, and deep learning are integrated to enhance their capabilities. Recommendation engines segregate data based on categories, languages, and ratings, ensuring a personalized user experience. The surge in online platforms for content consumption has fueled the demand for recommendation engines. Social media platforms and e-commerce sites also leverage these engines for product discovery and conversion rate optimization. Privacy concerns and ethical considerations are addressed through data security measures and user profiling. Predictive analytics and performance optimization ensure recommendation relevanc

Between January 1st and December 31st, 2024, "Weather" was the most popular search query on the Google search engine. "Google" was ranked second, reaching an index point value of 93 relative to the top search query.

As of June 2024, the index score of United States customer satisfaction with internet search engines and information was 80 out of 100 index points. Leading search engine Google ranked with 81 index points, while DuckDuckGo scored 79 index points, as major alternative engines like Bing And Yahoo! ranked at 77 index points each, as well as other non-listed tools scored 77 index points.

Global search advertising revenue was forecast to reach 357 billion U.S. dollars in 2025. Retail media was projected to account for roughly 140 billion dollars and traditional search for 217 billion.

We asked U.S. consumers about "Flight search engine online bookings by brand" and found that ************* takes the top spot, while ************** is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 3,127 consumers in the United States.

A survey conducted in 2024 found that 64 percent of Gen Z respondents in the United States had used TikTok as an online search engine. This is the highest rate across all generations, with the use of the video-based platform decreasing in accordance with the older cohorts. The practice of social search is most popular among younger generations, with the majority of Gen Z respondents opting for social platforms over traditional search engines for performing online searches.

In March 2025, ChatGPT’s mobile app registered over 5.82 million App Store and Google Play downloads in the United States. Released on February 8, 2024, and initially available in the U.S. market only, Google’s Gemini AI Assistant mobile app registered around 1.3 million downloads in the country during the same month. Kicked off by the release of OpenAI’s AI assistant, the AI-powered online search market trend propelled the release of several similar applications mentioning “ChatGPT” or “chatbot”, reaching millions of downloads worldwide. The name for AI-powered search Released in November 2022 and available as an app in April 2023, ChatGPT took only five days to reach more than a million users and become the fastest internet service to reach this milestone. Launched by OpenAI as a mobile app on iOS for the United States market, the chatbot registered nearly four million downloads already during its first month on the Apple App Store and, as the startup made it available in other markets in June 2023, it generated almost 12 million downloads, reaching another 14 million downloads in August 2023, as the app was launched on Android. How the AI-search race started Setting new standards for the global online search market, the release of ChatGPT caught companies like Google and Microsoft by surprise. The first quickly rushed to offer its own alternative AI assistant Bard, now rebranded as Gemini after the company’s large language model (LLM) system, while the second quickly sided with OpenAI’s assistant by integrating it into several of its Bing search engine’s services and applications. Despite roughly two years after its release, the impact of search chatbots is already visible on Google Search search market share on desktop, which registered some of its lowest rates for these devices in over a decade.

In April 2025, Bing had a market search share of 7.5 percent, among other engines in the United States across all devices. It is one of the highest quotas ever registered for the engine in the country, as well as one of the highest shares of search hosts among other countries. However, China generates more than 25 percent of Bing's worldwide traffic, while the United States is responsible for a share of almost 22 percent.

As of May 2025, Amazon was the biggest internet company worldwide with a market cap of over ************ U.S. dollars Second-ranked Alphabet had a market capitalization of **** trillion U.S. dollars. The end of the 1990s in the United States saw the rise of a great number of internet companies, also called online companies or a variety of the name “dot com,” where the “.com” domain is derived from the word commercial. At the time, such startups were merely riding the wave of early internet business, but had little capital and perhaps one good idea. Few companies have survived the burst of the dot com bubble and even fewer have managed to become internationally successful. A few notable exceptions are American companies such as Google (founded in 1998), Amazon (founded in 1994) or eBay Inc. (founded in 1995), and the Chinese online giant Alibaba (founded in 1998), which have come to be some of the largest internet companies in the world. One of the largest internet companies worldwide is currently Alphabet, the parent company of Google, with a market capitalization of **** trillion U.S. dollars as of May 2025. Having started as a PhD project at Stanford University, the Google project slowly gained traction and is now the number one search engine in the world, with a market share of ** percent on the search engine market. Due to a number of high profile acquisitions, Google has expanded its portfolio beyond search, to include the video content sharing site YouTube, the digital app platform Google Play Store, the webmail service Gmail and the web browser Google Chrome, to only name a few. In October 2015, Google reorganized itself into a newly created parent company, the multinational conglomerate Alphabet Inc. The biggest internet companies in terms of their workforce are currently Amazon, Alphabet and Meta.

Alternative search engine DuckDuckGo's worldwide market share has steadily increased from July 2019 to January 2025 – the largest surge being in the United States, which surpassed the search engine’s growth in all other regions. Here, an increased uptake began roughly around the start of the COVID-19 pandemic in April 2020, continuing in the months leading up to the US elections and beyond, but later running a bit lower than three percent in since January 2023. Ecosia - the more popular alternative in Europe While Google is still the market leader by a long shot when it comes to search engines in the United States - where DuckDuckGo is also based, consumer trust in big tech has been waning and more are seeking out privacy-based alternatives. In Europe, Ecosia is the more popular option and has seen steady growth particularly in Germany and France. Despite not having privacy as its main selling point, the German-based company invests its profits into tree-planting and reforestation projects. Americans’ waning trust in the government The onslaught of the COVID-19 pandemic caught most governments off-guard, invoking a host of different responses and approaches across the globe. In the United States, overall trust in the government to deal appropriately with the pandemic fell by approximately 20 percent in the period between February 2020 and January 2021. In fact, among the various institutions of authority, Americans had the least trust in the government – even less than that towards the European Union. Conversely, the United Nations commanded the most public trust. As the COVID vaccination rollout continues across the country, young Americans aged 18 to 24 are also the most skeptical when it comes to the idea of vaccination passports for travel, with approximately 41 percent in support of the measure.

In 2024, marketplaces were the primary source for starting to search for products online worldwide. According to a survey, roughly * out of 10 online shoppers searched for products through this channel. Browsing in-store ranked second, with ** percent of respondents, followed by brand websites. Popularity contest Online shopping has become increasingly popular globally. In various countries, including the United Kingdom, the United States, Germany, and many others, consumers have stated that they prefer to shop online rather than in-store. On a weekly basis, however, in European countries, offline shopping is still more popular among consumers. Germany had the largest share of weekly online shoppers, with ** percent of consumers. The preference for online shopping also depends on the product category and shopping events occurring at the time. Over ** percent of consumers prefer to use the internet over in-store shopping to complete their holiday and entertainment purchases. It is a preference While marketplaces are the primary source for consumers to search for products online, they are also the leading source for online shopping inspiration in 2024. Around ** percent of global consumers expressed their preference for marketplaces over any other online channel as a source of inspiration for their upcoming purchases. Consumers in different regions in the world tend to prefer different marketplaces, with consumers in Europe, the United States, and the United Kingdom preferring to use Amazon. The most visited marketplace in China was Taobao, Alibaba's B2C e-commerce platform. In Latin America, consumers use the local online marketplace Mercado Libre.