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 2025, “Google” was the most searched term on Google worldwide. “YouTube” ranked second, recording an index value of 79 points. That same year, “ChatGPT” and “GPT” entered the ranking for the first time, with index values of 27 and 18 points, respectively.

Between January 1st and December 31st, 2024, "Wetter" (Weather) was the most popular search query on the Google search engine in Germany. "Google" was ranked second, reaching an index point value of only 50 relative to the top search query ("Wetter").

Google held the majority of the market share of leading search engines in Sweden in June 2025, with 89.35 percent. Bing and DuckDuckGo followed with around 5.98 percent and 2.06 percent of the market share, respectively. There was a slight difference, regarding mobile search engines and desktop search engines. While Google was still the leader in both categories, its share was over 98 percent for mobile engines and roughly 87 percent for desktop engines . Google Google search has been widely used over the past years. According to the source, it was used most frequently among people between the ages of 16 and 25. Furthermore, 74 percent of them reported to have used it daily in 2018. Worldwide Regarding Google’s market share worldwide, it has slightly decreased over the years. It was reported to be highest in April 2012, when Google search reached 91.7 percent global market share. It amounted to roughly 79.1 percent as of March 2025. Despite that, Google search has been the worldwide leader over the evaluated period, followed by bing, Yahoo! and YANDEX.

Google Search Statistics 2023

• Google is the most searched website in the World.
• Google receives more visitors than any other site. Google is accessed 89.3 trillion times per month.
• Google is used by billions of people every day to conduct their searches. Google is much more than a simple search engine.
• Google provides many other services. Google Shopping and Google News also feature. Google Mail, Google's popular email service, is included.
• Google organic search traffic is 16.3% of the total US searches.

In January 2025, the South Korean search engine Naver had a global market share of 0.33 percent. This is not a lot compared to the dominant market leader Google. However, Naver has the largest share of the search engine market in its home market South Korea.

Search Engine Market was valued at USD 203.1 Billion in 2023 and is projected to reach USD 478.9 Billion by 2031, growing at a CAGR of 10% during the forecast period 2026-2032.Global Search Engine Market DriversThe 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.

Feature comparison matrix of Google alternative search engines

In January 2025, online search engine Bing accounted for almost six percent of the global tablet search market, while market leader Google had a share of over 89 percent. Meanwhile, Yandex's tablet search market share was of 2.73 percent, while Yahoo! represented little less than one percent on these devices.

Search engines, which collect, organize and display knowledge of the internet, remain central to the digital economy but are entering a period of rapid transformation driven by AI and shifting user behavior. Over the past five years, internet advertising spending maintained strong momentum, propelled by growing mobile internet access and consumer screen time. Consequently, industry revenue is expected to climb at a CAGR of 9.4% to $316.8 billion, including an anticipated rise of 7.7% in 2025, with profit at 18.6%. The industry stands apart from most in the tech sector, because of its platform-based revenue model, aggregation dynamics and deep integration with the broader digital ecosystem. While user engagement fuels relevance, it is advertiser demand that sustains revenue, requiring a careful balance between utility and monetization. This landscape has been reshaped by the rise of generative AI. Conversational tools and AI-generated summaries are reducing user interaction with traditional search results, challenging established SEO practices and disrupting referral-based traffic flows. Meanwhile, search engines are reconfiguring their ad models to prioritize quality and contextual relevance, moving away from legacy monetization strategies. These trends signal a broader shift in how search platforms operate, less as navigational tools and more as integrated, AI-driven environments. As digital behavior fragments and users seek information across apps like Amazon, TikTok and ChatGPT, industry revenue is still projected to climb at a CAGR of 7.3% to $449.9 billion through 2030. Advertisers are expected to continue investing in search, drawn by the format’s performance insights and optimization capabilities. However, AI is redefining search from a navigational tool into a task-oriented solution engine, where users expect conversational, multimodal and predictive answers instead of traditional results pages. To stay relevant, incumbent platforms must evolve into embedded AI utilities that power experiences across devices and enterprise workflows.

In 2025, leading marketplaces were the primary source for starting to search for products online worldwide, along with search engines. According to a survey, roughly 17 percent of online shoppers searched for products through these channels. Online supermarkets and grocers followed, with 13 percent of respondents. 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 45 percent of consumers. The preference for online shopping also depends on the product category and shopping events occurring at the time. Over 70 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 35 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.

Introduction

In 2024, the Global AI Search Engine Market was valued at USD 17.3 billion and is projected to reach nearly USD 73.7 billion by 2034, expanding at a CAGR of 15.6% during 2025–2034. The growth is driven by the increasing integration of generative AI, natural language processing, and voice-enabled search technologies across industries. Organizations are investing heavily in AI-based platforms to enhance search relevance, improve personalization, and support multilingual accessibility, which is accelerating adoption worldwide.

One of the top driving factors behind this market’s growth is the explosion of digital data and the need for intelligent processing to sort through vast volumes efficiently. Users now want search results that are tailored to their unique preferences and context, which AI technologies like deep learning enable. Another important driver is the increased adoption of cloud computing, providing the infrastructure needed to support scalable AI search solutions. The rise of voice assistants and visual search methods also expands how users interact with these search engines, contributing further to demand.

Demand for AI search engines shows significant growth not only among consumers but also enterprises. Consumers rely on AI search for everyday needs such as finding local services or translating languages, while enterprises use AI-powered search tools to quickly access complex data across departments, improving operational efficiency and decision-making. Large enterprises lead adoption due to their need for handling immense data, but smaller companies are catching up through affordable, cloud-based options that streamline customer support and research.

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In 2024, about 45% of U.S. adults used AI-powered search engines at least once a month, showing that mainstream adoption has already begun. Perplexity.ai emerged as a strong example, growing from 10 million monthly active users in mid-2023 to over 30 million by Q1 2025, reflecting the pace of adoption. Globally, around 27% of enterprises integrated AI search tools into their internal systems, while 51% of Gen Z turned to AI platforms for academic queries. In India, more than 60% of AI search traffic came from mobile, and 38% of users trusted AI search results over traditional engines.

The marketing landscape has also been reshaped by AI-driven search adoption. According to Gitnux, 61% of marketers saw increases in organic traffic due to AI, while 72% considered it central to future strategies. Nearly 95% of customer interactions are expected to be managed without humans by 2025, and by 2024 about 80% of search queries were projected to be handled by AI-powered agents. This signals a structural shift in how companies approach engagement, customer support, and visibility online.

Among smaller businesses, adoption momentum is accelerating, with 55% planning to expand AI investment in search marketing. AI-powered personalization is playing a key role in this trend, helping improve customer targeting and increasing conversion rates by up to 20%. Together, these figures illustrate how AI-driven search is not only transforming consumer behavior but also redefining enterprise strategies, marking a rapid global shift toward automated and intelligent engagement.

"Clima" weather was the most probed query in the Google search engine in Brazil in 2024, indexing at 100 in terms of search volume. Compared to the top ranking search result, the weather forecast-related terms "Tempo" and "Previsão do tempo" were also some of the most searched terms on the engine, scoring index values of 77 and 28. Additionally, the messenger solution "WhatsApp" and "WhatsApp Web" scored relative index values of 78 and 59 each.

Search Engine Market Outlook

The search engine market size was valued at approximately USD 124 billion in 2023 and is projected to reach USD 258 billion by 2032, witnessing a robust CAGR of 8.5% during the forecast period. This growth is largely attributed to the increasing reliance on digital platforms and the internet across various sectors, which has necessitated the use of search engines for data retrieval and information dissemination. With the proliferation of smartphones and the expansion of internet access globally, search engines have become indispensable tools for both businesses and consumers, driving the market's upward trajectory. The integration of artificial intelligence and machine learning technologies into search engines is transforming the way search engines operate, offering more personalized and efficient search results, thereby further propelling market growth.

One of the primary growth factors in the search engine market is the ever-increasing digitalization across industries. As businesses continue to transition from traditional modes of operation to digital platforms, the need for search engines to navigate and manage data becomes paramount. This shift is particularly evident in industries such as retail, BFSI, and healthcare, where vast amounts of data are generated and require efficient management and retrieval systems. The integration of AI and machine learning into search engine algorithms has enhanced their ability to process and interpret large datasets, thereby improving the accuracy and relevance of search results. This technological advancement not only improves user experience but also enhances the competitive edge of businesses, further fueling market growth.

Another significant growth factor is the expanding e-commerce sector, which relies heavily on search engines to connect consumers with products and services. With the rise of e-commerce giants and online marketplaces, consumers are increasingly using search engines to find the best prices, reviews, and availability of products, leading to a surge in search engine usage. Additionally, the implementation of voice search technology and the growing popularity of smart home devices have introduced new dynamics to search engine functionality. Consumers are now able to conduct searches verbally, which has necessitated the adaptation of search engines to incorporate natural language processing capabilities, further driving market growth.

The advertising and marketing sectors are also contributing significantly to the growth of the search engine market. Businesses are leveraging search engines as a primary tool for online advertising, given their wide reach and ability to target specific audiences. Pay-per-click advertising and search engine optimization strategies have become integral components of digital marketing campaigns, enabling businesses to enhance their visibility and engagement with potential customers. The measurable nature of these advertising techniques allows businesses to assess the effectiveness of their campaigns and make data-driven decisions, thereby increasing their reliance on search engines and contributing to overall market growth.

The evolution of search engines is closely tied to the development of Ai Enterprise Search, which is revolutionizing how businesses access and utilize information. Ai Enterprise Search leverages artificial intelligence to provide more accurate and contextually relevant search results, making it an invaluable tool for organizations that manage large volumes of data. By understanding user intent and learning from past interactions, Ai Enterprise Search systems can deliver personalized experiences that enhance productivity and decision-making. This capability is particularly beneficial in sectors such as finance and healthcare, where quick access to precise information is crucial. As businesses continue to digitize and data volumes grow, the demand for Ai Enterprise Search solutions is expected to increase, further driving the growth of the search engine market.

Regionally, North America holds a significant share of the search engine market, driven by the presence of major technology companies and a well-established digital infrastructure. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This growth can be attributed to the rapid digital transformation in emerging economies such as China and India, where increasing internet penetration and smartphone adoption are driving demand for search engines. Additionally, government initiatives to

Enterprise Search Engine Market Outlook

The global enterprise search engine market size was valued at USD 4.5 billion in 2023, and it is expected to reach USD 12.4 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.1% during the forecast period. The rapid growth of this market can be attributed to various factors, including the increasing need for data management and the rising importance of enhancing the efficiency and productivity of organizations through efficient data retrieval systems.

One of the primary growth factors driving the enterprise search engine market is the exponential growth of data across various sectors. With organizations generating vast amounts of data daily, the need for effective data management and retrieval systems has become paramount. Enterprise search engines enable organizations to locate and retrieve information quickly and accurately, which is crucial for informed decision-making and maintaining competitive advantage. Furthermore, these systems can integrate with other enterprise applications, providing a seamless user experience.

Another significant growth driver is the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in enterprise search engines. AI and ML algorithms enhance the search capabilities of these systems by providing more accurate and relevant search results. They also offer predictive search functionalities, which can drastically reduce the time spent on searching for information. The advancements in natural language processing (NLP) are also enhancing the ability of search engines to understand and process human language, further boosting their efficiency.

The growing trend of cloud-based deployment is also playing a crucial role in the expansion of the enterprise search engine market. Cloud-based solutions offer several benefits, such as scalability, reduced operational costs, and ease of integration with other cloud services. This has led to an increasing preference for cloud-based enterprise search engines, especially among small and medium-sized enterprises (SMEs) that may lack the resources to invest in on-premises infrastructure. The increasing adoption of cloud services across various industries is thus providing a significant boost to the market.

Regionally, North America is anticipated to hold the largest market share throughout the forecast period. This is due to the presence of a large number of established players and the early adoption of advanced technologies in the region. The Asia Pacific region is expected to witness the highest growth rate, driven by the rapid digital transformation and increasing investments in IT infrastructure in countries like China and India. Europe is also expected to show significant growth due to stringent data governance regulations and the increasing need for data management solutions across various sectors.

Component Analysis

The enterprise search engine market is segmented into two primary components: software and services. The software segment encompasses the actual search engine platforms and technologies that organizations deploy to manage and retrieve data. Within this segment, advancements in AI and machine learning are significantly enhancing the capabilities of search engines. Modern enterprise search software incorporates AI algorithms to provide more accurate, relevant, and context-aware search results. These advancements are crucial for organizations that deal with vast and complex datasets, enabling them to streamline their operations and make data-driven decisions more effectively.

The services segment includes various professional services such as consulting, system integration, and support and maintenance. These services are essential for the successful deployment and operation of enterprise search engines. Consulting services help organizations identify their specific search requirements and design customized solutions. System integration services ensure that the search engine seamlessly integrates with the existing IT infrastructure and enterprise applications. Support and maintenance services are crucial for the ongoing performance and reliability of the search engine, ensuring that it continues to meet the organization's needs over time.

The software segment currently holds the largest market share, driven by the increasing demand for advanced search capabilities and the continuous development of new software solutions. The integration of AI and machine learning technologies into enterprise search software is a key trend, enhancing the ability to

The global search engine market is projected to reach a valuation of approximately USD 200 billion by 2033, growing at a compound annual growth rate (CAGR) of 8.5% from 2025 to 2033.

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.

In December 2024, the average monthly cost-per-click (CPC) in Google Ads search advertising for the marketing and advertising industry in the United States reached 7.66 U.S. dollars and was the highest among the presented countries. In France, the value stood at 68 U.S. cents.

We asked French 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 2,754 consumers in France.

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. See included README file for descriptions of each individual data file in this dataset. Resources in this dataset:Resource Title: Journals. File Name: Journals.csvResource Title: Journals - Recommended repositories. File Name: Repos_from_journals.csvResource Title: TDWG presentation. File Name: TDWG_Presentation.pptxResource Title: Domain Specific ag data sources. File Name: domain_specific_ag_databases.csvResource Title: Data Dictionary for Ag Data Repository Inventory. File Name: Ag_Data_Repo_DD.csvResource Title: General repositories containing ag data. File Name: general_repos_1.csvResource Title: README and file inventory. File Name: README_InventoryPublicDBandREepAgData.txt