A comparison of the most popular search engines in Japan showed that Google held a market share of almost ** percent, which made it the leading service. It was followed by Yahoo! and Bing. Together these three services accounted for a market share of more than ** percent.

We asked Japanese consumers about "Most used search engines by brand" and found that "Google" takes the top spot, while "Yandex" is at the other end of the ranking.These results are based on a representative online survey conducted in 2025 among 2,736 consumers in Japan.

A comparison of the most popular tablet search engines in Japan showed that Google held a market share of more than 76 percent in January 2024, which made it the leading service. It was followed by Yahoo! and Bing. Together these three services accounted for a market share of more than 98 percent.

With a market share of more than ** percent, Google was the most popular mobile search engine in Japan in January 2024. It was followed by Yahoo!, which accounted for almost **** percent of the mobile search engine market.

With a market share of more than ** percent, Google was the most popular desktop search engine in Japan in January 2024. It was followed by Bing, which accounted for more than ** percent of the desktop search engine market.

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.

A survey conducted during the third quarter of 2024 showed that **** percent of internet users in Japan used search engines as a primary source of information when they research brands online. Other common sources included product and brand websites, price comparison sites, and consumer reviews.

A survey conducted during the third quarter of 2024 showed that almost ** percent of internet users in Japan discovered new brands via search engines. Other common sources of brand discovery included TV ads, TV shows and films, and product comparison websites.

With a market share of more than ** percent, Google was the most popular tablet search engine in Japan in January 2024. It was followed by Yahoo!, which accounted for approximately **** percent of the tablet search engine market.

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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

"Amazon" was the leading Google search query for shopping activities in Japan in 2024. As the top query, it received an index score of 100 points. Written in Japanese characters, the term came in **** place with an index score of ** points, meaning that it received ** percent of the search volume of the top query.

According to a survey conducted in February 2020, about ** percent of respondents in Japan stated that they used their current internet search engine because of its good functions and user-friendliness. More than ** percent were using their current search engine because it had previously been set as the default service of the device they were using.

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

According to a survey conducted in February 2020, four out of five respondents in Japan stated that they used their smartphones in order to access internet search engines. While more than ** percent of respondents used PCs when looking up things online, other devices were used to a much lower degree.

According to a survey conducted in Japan in July 2021, ** percent of the respondents stated that they used search engines to find out more about words or people they do not know. A slightly lower share of respondents used search engines to look for things related to their hobbies.

According to a survey conducted in Japan in July 2021, ** percent of the respondents stated that they used a search engine when searching things online via smartphone. Close to ** percent of the respondents used social networking services (SNS) for this purpose.

This statistic presents the results of an online survey conducted in 2016 about the most popular websites and apps used for booking leisure travels online in Japan. The survey revealed, that with almost ** percent the majority of respondents frequented websites and apps of Japanese travel agencies to purchase holiday tours, flight tickets and accommodations online. About ** percent of respondents stated to use hotel search engines to compare a variety of offers.

The statistic presents the most popular weekly online smartphone activities in Japan as of January 2018. During the measured period, it was found that 59 percent of the Japanese population used their device to operate search engines on a weekly basis.

The revenue of LY Corporation amounted to around **** trillion Japanese yen in the 2024 fiscal year. It increased by about *** billion yen over the previous year. LY Corporation and SoftBank LY Corporation, formerly known as Z Holdings Corporation, was rebranded in October 2023 following its merger with LINE Corporation, Yahoo! Japan Corporation, Z Entertainment Corporation, and Z Data Corporation. As a SoftBank Corp. subsidiary, LY operates Yahoo! Japan and LINE, aiming to create synergies across consumer, enterprise, and distribution segments. The name changes in recent years reflect strategic efforts to streamline services, enhance efficiency, and integrate various subsidiaries, culminating in the most recent rebranding to LY Corporation. Business segments LY Corporation primarily focuses on commerce and media. A breakdown of the revenue by segment shows that the commerce business is the largest segment of the company. It includes services such as shopping, auctions, flea markets, as well as membership and payment-related services. One of these is the cashless payment service PayPay, which allows users to conduct payments via smartphones and counts several dozen million users. The media segment centers on online advertising and media services related to Yahoo! Japan and LINE, which is the most popular social media platform in Japan.

The number of social media users in Japan was estimated at approximately ***** million in 2023. This figure was projected to increase to almost ***** million users by 2028. Leading social networking servicesThe most commonly used social media in Japan are the messaging app LINE, YouTube, Instagram, X (formerly known as Twitter), TikTok, and Facebook. LINE was developed by a Japanese subsidiary of the South Korean internet search engine provider Naver as a response to the Great East Japan Earthquake in 2011. While the traditional telecommunication infrastructure was damaged, people were able to connect with loved ones via social media and could stay informed about the most recent news. These possibilities generated a boost for social media in Japan, not only for LINE, but for Twitter and Facebook as well. Usage todaySocial media plays an important role today in how people in Japan communicate with each other. The average time people spend on using social media per weekday has increased significantly in recent years. According to one survey, communication with already existing acquaintances is the most common reason for using social media in Japan. Due to their nearly ubiquitous presence in the daily lives of people, social media services are also an important information tool for government institutions or companies that want to get their messages across to citizens and customers.