We asked Indian consumers about "Most used search engines by brand" and found that "Google" takes the top spot, while "Lycos" is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 3,547 consumers in India.

Google was by far the most used search engine in India, holding a market share of ***** percent in May 2025. Despite having already reached a market share of more than ***** percent in 2018, Bing ranked second in the same month, with a market share of approximately **** percent, followed by DuckDuckGo and Yahoo!, with shares of **** percent and *** percent each.

India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data was reported at 0.010 % in 28 Apr 2024. This stayed constant from the previous number of 0.010 % for 27 Apr 2024. India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data is updated daily, averaging 0.010 % from Mar 2024 (Median) to 28 Apr 2024, with 38 observations. The data reached an all-time high of 0.100 % in 26 Mar 2024 and a record low of 0.000 % in 18 Apr 2024. India Internet Usage: Search Engine Market Share: Desktop: Mail.ru data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s India – Table IN.SC.IU: Internet Usage: Search Engine Market Share.

Google had a clear monopoly on the mobile search engine market across India, with a share over 99 percent as of February 2024. While the search engine's position as the market leader is evident, it is worth noting that its mobile market share declined marginally over the past year - conceded to India's second-biggest mobile search engine, DuckDuckGo.

India Internet Usage: Search Engine Market Share: Tablet: PrivacyWall data was reported at 0.000 % in 13 Feb 2025. This records a decrease from the previous number of 0.020 % for 12 Feb 2025. India Internet Usage: Search Engine Market Share: Tablet: PrivacyWall data is updated daily, averaging 0.005 % from Oct 2024 (Median) to 13 Feb 2025, with 22 observations. The data reached an all-time high of 0.030 % in 10 Feb 2025 and a record low of 0.000 % in 13 Feb 2025. India Internet Usage: Search Engine Market Share: Tablet: PrivacyWall data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s India – Table IN.SC.IU: Internet Usage: Search Engine Market Share.

Mobile Search Engines Market Outlook

The global mobile search engines market size is projected to grow from USD 45.3 billion in 2023 to USD 98.5 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.9%. This robust growth is propelled by several key factors including the increasing penetration of smartphones, advancements in mobile search technologies, and the growing adoption of mobile internet across emerging markets.

One of the primary growth factors for the mobile search engines market is the widespread adoption of smartphones. The rapid proliferation of affordable smartphones has significantly increased mobile internet usage, thereby driving the demand for mobile search engines. As more consumers rely on their mobile devices to access information, shop online, and engage with social media, the need for efficient and effective mobile search engines continues to escalate. This trend is particularly pronounced in emerging markets where mobile devices often serve as the primary means of accessing the internet.

Technological advancements in mobile search engine algorithms and artificial intelligence (AI) are also playing a crucial role in market growth. Modern mobile search engines leverage AI and machine learning to provide more accurate and personalized search results. Innovations such as voice search, visual search, and augmented reality (AR) search capabilities are enhancing the user experience, making mobile searches more intuitive and interactive. These advancements not only improve the quality of search results but also increase user engagement and satisfaction.

The growing emphasis on local search optimization is another significant driver of the mobile search engines market. With the increasing use of mobile devices for on-the-go searches, local search has become a critical component for businesses aiming to attract nearby customers. Mobile search engines are integrating location-based services to deliver highly relevant local search results, benefiting both users and businesses. This trend is especially beneficial for small and medium-sized enterprises (SMEs) looking to enhance their online visibility and drive foot traffic to their physical stores.

Regionally, the Asia Pacific market is anticipated to witness substantial growth during the forecast period. The region's large and rapidly growing population of smartphone users, coupled with increasing internet penetration rates, creates a fertile ground for mobile search engine adoption. Countries such as China, India, and Indonesia are expected to be major contributors to market growth. Furthermore, North America and Europe remain significant markets due to high smartphone penetration and mature digital ecosystems. However, emerging markets in Latin America and the Middle East & Africa are also showing promising growth potential, driven by increasing mobile connectivity and digitalization efforts.

In this dynamic landscape, new entrants like Bingie are making their mark by offering innovative features tailored to the evolving needs of mobile users. Bingie, with its focus on providing a seamless and engaging search experience, is gaining traction among users who seek alternatives to established giants. By leveraging cutting-edge technologies such as AI and machine learning, Bingie is able to deliver highly personalized search results that resonate with the preferences of individual users. Its emphasis on user privacy and data security further distinguishes Bingie in a market where these concerns are increasingly paramount. As Bingie continues to expand its reach, it is poised to become a significant player in the mobile search engines market, offering users a fresh perspective on mobile search capabilities.

Type Analysis

In the mobile search engines market, the type segment is divided into general search engines and specialized search engines. General search engines dominate the market, accounting for a significant share of the overall revenue. These search engines, such as Google and Bing, offer comprehensive search capabilities covering a wide range of topics and information. The ubiquity and familiarity of these platforms make them the go-to choice for most users. With continuous improvements in search algorithms and user interface, general search engines are expected to maintain their dominance in the coming years.

Specialized search engines, on the other hand, cater to niche markets by focusing on specific types of content o

Created as an alternative to Google, Microsoft Bing is the second most used search engine in India. It controlled almost five percent of the desktop search market in one of the largest internet markets worldwide as of February 2024. Bing's market share reflected a unique rise-and-fall pattern during the middle and end of each year.

India Internet Usage: Search Engine Market Share: Desktop: PrivacyWall data was reported at 0.030 % in 16 May 2025. This stayed constant from the previous number of 0.030 % for 15 May 2025. India Internet Usage: Search Engine Market Share: Desktop: PrivacyWall data is updated daily, averaging 0.010 % from Jul 2024 (Median) to 16 May 2025, with 307 observations. The data reached an all-time high of 0.050 % in 04 May 2025 and a record low of 0.000 % in 12 Mar 2025. India Internet Usage: Search Engine Market Share: Desktop: PrivacyWall data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s India – Table IN.SC.IU: Internet Usage: Search Engine Market Share.

Bing's share in the mobile search engine market across India remained stable at 0.16 percent in February 2024. Due to a spike in DuckDuckGo's market share, the Microsoft-owned search engine was pushed down to third place, while Google remained the leading search engine in India.

Keywords related to studying medicine

Yahoo was the third most popular search engine in India, following Google and Bing. The multinational IT company's share in the South Asian country's desktop search market stood at 1.8 percent as of February 2024. After years of fluctuation, Yahoo's market share steadily increased, comparable with its share in February 2021.

We asked Indian consumers about "Flight search engine online bookings by brand" and found that "MakeMyTrip" takes the top spot, while "Via" is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 1,737 consumers in India.

As of the third quarter of 2024, internet users in India engaged in various online activities to access information. Among them, over 81 percent used search engines, making it the leading method of accessing online information. This was followed by conducting product and brand research on social network sites.

Tech and search engine giant, Google, continued to hold a near-monopoly in the desktop search market across India, with about 93 percent of the market under its control as of February 2024. The search engine's market share fluctuated over the course of 2023 with April and May seeing dramatic spikes before receding again through the rest of the year.

What is a high quality website? Over the years the whole SEO industry is talking about the need of producing high quality content and top experts came up with the clever quote ‘Content is king’, meaning that content is the success factor of any website. While this is true, does it mean that a website with good content is also a high quality website? The answer is NO. Good content is not enough. It is one of the factors (the most important) that separates low from high quality sites but good content alone does not complete the puzzle of what is considered by Google as a high quality website. Now you can get the high quality on high quality sites like Nytimes, Forbes etc. You can also buy Zeenews.india guest Post at a reasonable price from the best guest post service. What is SEO SEO is short for ‘Search Engine Optimization’. It refers to the process of increasing a websites traffic flow by optimizing several aspects of a website; such as your on-page SEO, technical SEO & off-site SEO,. Your SEO strategy should ideally be planned around your content strategy. For this you will require three elements, 1.) keywords, 2.) links and 3.) substance to piece your content strategy together. Guest Post on High quality sites can improve your SEO ranking. To improve ranking and boost ranking, buy Guest Post on Zeenews.india from the high quality guest post service. Characteristics of a high quality website A high quality website has the following characteristics: Unique content Content is unique both within the website itself (i.e. each page has unique content and not similar to other pages), but also compared to other websites. Demonstrate Expertise Content is produced by experts based on research and or experience. If for example the subject is health related, then the advice should be provided by qualified authors who can professionally give advice for the particular subject. Unbiased content Content is detail and describes both sides of a story and is not promoting a single product, idea or service. Accessibility A high quality website has versions for non PC users as well. It is important that mobile and tablet users can access the website without any usability issues. Usability Can the user navigate the website easily; is the website user friendly? Attention to detail Content is easy to read with images (if applicable) and free of spelling and grammar mistakes. Does it seem that the owner cares on what is published on the website or is it for the purpose of having content in order to run ads? SEO Optimized Optimizing a web site for search engines has many benefits but it is important not to overdo it. A good quality web site needs to have non-optimized content as well. This is my opinion and although some people may disagree it is a fact that over-optimization can sometimes generate the opposite results. The reason is that algorithms can sometimes interpret over-optimization as an attempt to game the system and they may take measures to prevent this from happening. Balance between content and ads It is not something bad for a website to have ads or promotions but these should not distract the users from finding the information they need. Speed A high quality website loads fast. A fast website will rank higher and create more conventions, sales and loyal readers. Social Social media changed our lives, the way we communicate but also the way we assess quality. It is expected for a good product to have good reviews, Facebook likes and Tweets. Before you make a decision to buy or not, you may examine these social factors as well. Likewise, It is also expected for a good website to be socially accepted and recognized i.e. have Facebook followers, RSS subscribers etc. User Engagement and Interaction Do users spend enough time on the site and read more than one pages before they leave? Do they interact with the content by adding comments, making suggestions, getting into conversations etc.? Better than the competition When you take a specific keyword, is your website better than your competitors? Does it deserve one of the top positions if judged without bias?

This dataset contains a collection of around 2,000 HTML pages: these web pages contain the search results obtained in return to queries for different products, searched by a set of synthetic users surfing Google Shopping (US version) from different locations, in July, 2016.

Each file in the collection has a name where there is indicated the location from where the search has been done, the userID, and the searched product: no_email_LOCATION_USERID.PRODUCT.shopping_testing.#.html

The locations are Philippines (PHI), United States (US), India (IN). The userIDs: 26 to 30 for users searching from Philippines, 1 to 5 from US, 11 to 15 from India.

Products have been choice following 130 keywords (e.g., MP3 player, MP4 Watch, Personal organizer, Television, etc.).

In the following, we describe how the search results have been collected.

Each user has a fresh profile. The creation of a new profile corresponds to launch a new, isolated, web browser client instance and open the Google Shopping US web page.

To mimic real users, the synthetic users can browse, scroll pages, stay on a page, and click on links.

A fully-fledged web browser is used to get the correct desktop version of the website under investigation. This is because websites could be designed to behave according to user agents, as witnessed by the differences between the mobile and desktop versions of the same website.

The prices are the retail ones displayed by Google Shopping in US dollars (thus, excluding shipping fees).

Several frameworks have been proposed for interacting with web browsers and analysing results from search engines. This research adopts OpenWPM. OpenWPM is automatised with Selenium to efficiently create and manage different users with isolated Firefox and Chrome client instances, each of them with their own associated cookies.

The experiments run, on average, 24 hours. In each of them, the software runs on our local server, but the browser's traffic is redirected to the designated remote servers (i.e., to India), via tunneling in SOCKS proxies. This way, all commands are simultaneously distributed over all proxies. The experiments adopt the Mozilla Firefox browser (version 45.0) for the web browsing tasks and run under Ubuntu 14.04. Also, for each query, we consider the first page of results, counting 40 products. Among them, the focus of the experiments is mostly on the top 10 and top 3 results.

Due to connection errors, one of the Philippine profiles have no associated results. Also, for Philippines, a few keywords did not lead to any results: videocassette recorders, totes, umbrellas. Similarly, for US, no results were for totes and umbrellas.

The search results have been analyzed in order to check if there were evidence of price steering, based on users' location.

One term of usage applies:

In any research product whose findings are based on this dataset, please cite

@inproceedings{DBLP:conf/ircdl/CozzaHPN19, author = {Vittoria Cozza and Van Tien Hoang and Marinella Petrocchi and Rocco {De Nicola}}, title = {Transparency in Keyword Faceted Search: An Investigation on Google Shopping}, booktitle = {Digital Libraries: Supporting Open Science - 15th Italian Research Conference on Digital Libraries, {IRCDL} 2019, Pisa, Italy, January 31 - February 1, 2019, Proceedings}, pages = {29--43}, year = {2019}, crossref = {DBLP:conf/ircdl/2019}, url = {https://doi.org/10.1007/978-3-030-11226-4_3}, doi = {10.1007/978-3-030-11226-4_3}, timestamp = {Fri, 18 Jan 2019 23:22:50 +0100}, biburl = {https://dblp.org/rec/bib/conf/ircdl/CozzaHPN19}, bibsource = {dblp computer science bibliography, https://dblp.org} }

Google is not only popular in its home country but is also the dominant internet search provider in many major online markets, frequently generating between ** and ** percent of desktop search traffic. The search engine giant has a market share of over ** percent in India and accounted for the majority of the global search engine market, ahead of other competitors such as Yahoo, Bing, Yandex, and Baidu. Google’s online dominance All roads lead to Rome, or if you are browsing the internet, all roads lead to Google. It is hard to imagine an online experience without the online behemoth, as the company offers a wide range of online products and services that all seamlessly integrate with each other. Google search and advertising are the core products of the company, accounting for the vast majority of the company revenues. When adding this up with the Chrome browser, Gmail, Google Maps, YouTube, Google’s ownership of the Android mobile operating system, and various other consumer and enterprise services, Google is basically a one-stop shop for online needs. Google anti-trust rulings However, Google’s dominance of the search market is not always welcome and is keenly watched by authorities and industry watchdogs – since 2017, the EU commission has fined Google over ***** billion euros in antitrust fines for abusing its monopoly in online advertising. In March 2019, European Commission found that Google violated antitrust regulations by imposing contractual restrictions on third-party websites in order to make them less competitive and fined the company *** billion euros.

The crawler-based search engine market size is expected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growth of the market is attributed to the increasing adoption of mobile devices and the rising demand for real-time information. Mobile users rely heavily on search engines to find information and access services, driving the demand for crawler-based search engines optimized for mobile devices. Moreover, the advancements in artificial intelligence and natural language processing technologies have enhanced the accuracy and relevance of search results, leading to increased user adoption. The market is segmented into type (mobile, desktop, application), application (business use, personal use), and region. The mobile segment is expected to account for the largest market share due to the growing penetration of smartphones and tablets. The business use segment is expected to witness significant growth due to the increasing use of crawler-based search engines for research and competitive analysis. Furthermore, emerging economies such as China and India are expected to drive the regional growth of the market due to the rapid adoption of mobile devices and the increasing demand for internet access.

Explore real-time online search and web trends with Success.ai’s comprehensive data on search engines and B2B intent. Uncover actionable insights for competitive intelligence and targeted marketing. Guaranteed best price and quality.

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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 ensu