"*******" was the most frequently searched keyword on Google worldwide, with over ***** million monthly online searches during the analyzed period of January to March in 2025. Furthermore, the search resulted in more than ***** million website visits, or more than **** percent of all traffic. With *** million monthly searches, "***" was the second most popular keyword, and "***********" came in third place with about ****** million searches per month.

'*******' was the most searched keyword on Google in the United Kingdom between January and March 2025, with an average monthly volume of ***** million searches over the researched period. Over **** million website visits were generated by this keyword, which accounted for **** percent of the country's searches. '**************' ranked second, with ** million searches and **** million website visits per month during the same time period, followed by numerous queries related to football and the championship. Additionally, "*******" was the tenth most frequently searched keyword on Google in the United Kingdom.**********************************************************************************************************************************************************************

'*******' was the most searched keyword on Google in the United States between January and March 2025, with an average monthly volume of ****** million searches over the researched period. "***" ranked second with a search volume of ***** million searches. The keyword for "nfl" came in third, making up to ***** million searches.

In 2024, the most common terms that Hong Kong internet users entered into Google search were "Google", "translate", and "YouTube". The word "weather" in Chinese received 54 percent of the search volume of the top query during 2024.

According to data from Pi Datametrics, the most searched term on Google from January to April 2020 in the United Kingdom (UK) was "airpods".

As of February 2025, several search terms were googled especially actively by German internet users. Among these, the leading three were ‘handball wm’ (handball championship), ‘australian open 2025’ and ‘handball wm 2025’. The terms reflect events, certain dates and ensuing media coverage taking place at the time, in this case about the handball championship and the Australian Open tennis tournament. Always searching Daily life seems unthinkable without using an online search engine, whether for longer research or quickly checking something, or even just to avoid setting bookmarks, typing in URLs. Google has by far the highest share among online search engines used on desktop and mobile devices at almost 90 percent of searches done on Google, followed by Bing and Ecosia. While DuckDuckGo was further down on the list, its market share has been rising in Germany. Google may still have a substantial head start compared to its competitors, but users are increasingly apprehensive about data privacy and protection in connection with how the online search giant uses and stores personal information, as well as tracks search queries. Searching for Trees Ecosia is an environmentally friendly search engine with a unique business model that sets it apart from other search engines. It uses the revenue from search ads to plant trees worldwide and support reforestation projects. Every time a user performs a search on Ecosia, they indirectly contribute to reforestation, as one tree is planted for every 45 searches.The search engine market share held by Ecosia has been growing in recent years, especially in Germany where the company is based, and in other countries in Europe. Ecosia, similarly to other alternative search engines (e.g. DuckDuckGo), uses Bing to power its results.

In 2024, the Korean word Naver (written in Korean) was the most searched-for term on Google in South Korea, followed by the search queries for weather and the Korean writing of YouTube. Naver is the largest South Korean web portal, which also offers search engine function. The search query for YouTube's English spelling "youtube" placed 19th.

In 2022, Wordle was the most popular Google search in the United States, the United Kingdom, Canada, and Spain. By contrast, in Germany and Italy, Ukraine was the most popular search on Google. In Brazil, Google users were interested the most in the 2022 elections.

Wordle!

Launched in October 2021 and purchased by the New York Times in January 2022, Wordle is an online game where players can play only once a day and have to guess a five-letter word in six tries. The game became an instant hit, with a surge of daily users at the beginning of the year. For instance, it was one of the most popular iPhone apps in the United States, being played mostly by millennials. Also in the United Kingdom, the game gained in popularity, with most players using the app every day.

Google search

As the leading search engine in many countries, Google is the most visited multi-platform web property. Indeed, most of Google's revenues come from Google properties, which include the search platform, the traffic generated by search distribution partners using Google.com as their default search in browsers, and the advertising on its own sites.

You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.

Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.

Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.

Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.

This database is available in JSON format only.

You don’t have to download fresh data dumps in JSON – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

Google Search Trends: Online Shopping: Costco data was reported at 0.000 Score in 12 Nov 2022. This stayed constant from the previous number of 0.000 Score for 11 Nov 2022. Google Search Trends: Online Shopping: Costco data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 12 Nov 2022, with 347 observations. The data reached an all-time high of 15.000 Score in 27 Feb 2022 and a record low of 0.000 Score in 12 Nov 2022. Google Search Trends: Online Shopping: Costco data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Sri Lanka – Table LK.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Travel & Accommodations: Lufthansa data was reported at 0.000 Score in 14 May 2025. This records a decrease from the previous number of 1.000 Score for 13 May 2025. Google Search Trends: Travel & Accommodations: Lufthansa data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 22.000 Score in 16 Oct 2022 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Travel & Accommodations: Lufthansa data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Sri Lanka – Table LK.Google.GT: Google Search Trends: by Categories.

In 2024, "Google" was the most popular search query on Google. "You" ranked second, scoring an index value of 79 points. "YouTube" ranked third with an index value of 76 points relative to the top query, while "Facebook" ranked fifth, with an index value of 62.

Context

The data was extracted to be used for my submission to the 2020 kaggle online survey. You can find the related submission here. I used it to analyze the searches related to Automated Machine learning.

Content

The data consists of google trends for AutoML /Automated machine learning. This data is Aggregated, **Anonymised **, Indexed and Normalized. The dataset consists of four files:

• Timeline Data(2015-2020) Timeline data shows interest over time. The Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means that there was not enough data for this term. I have used the search data from the year 2015 to 2020.

• GeoMap data for the year 2020 GeoMap data shows Interest by sub-region. It essentially highlights locations where the search term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location that is half as popular. A value of 0 indicates a location where there was not enough data for this term.

• Related Entities data for the year 2020 Related entities mean users searching for your term also searched for these topics. Scoring is on a relative scale where a value of 100 is the most commonly searched topic and a value of 50 is a topic searched half as often as the most popular term, and so on

• Related Queries data Related Queries mean users searching for your term also searched for these queries. Scoring is on a relative scale where a value of 100 is the most commonly searched query, 50 is a query searched half as often as the most popular query, and so on.

The explanations have been taken from the Google trend official site.

Acknowledgements

• Banner Image: People vector created by pch.vector - www.freepik.com
• Google Trends

Useful links: - Google Trends - Google News Lab - @GoogleTrends

In 2024, the term "Meteo" was the most searched term in Italy on Google, reaching an index value of 100. Search engine "Google" ranked second with an index value of 39, while "Traduttore" tanked third with an index value of 37 relative to the most searched entry.

Between January and December 2024, the most common shopping search term used on Google in Israel was 'Table' in Hebrew. It was followed by the search terms 'Fragrance' and 'Closet', both in Hebrew. The term 'Ikea' in Hebrew, which topped the search volume index in 2022, came in only sixth in 2024.

In 2023, 'Weather' in traditional Chinese was the most searched query on Google in Taiwan. The term 'PTT', a bulletin board system (BBS), and 'translate' in traditional Chinese were other popular keywords, receiving 91 percent and 73 percent of the search volume of 'Weather' during 2023 respectively.

When you’re at work or at home, there’s a high chance that you’re going to use Google. You may be using Google to find a plumber for your leaky bathroom sink or see where the best sushi is in town. When you’re on Google, you’re looking for the top results which means you’re not scrolling past page one, unless, you’re desperate. So, getting your company on the first page of Google is extremely important and impactful for success. But, how do you get your business there? Well, here’s how.

Know the Basics

Before you do anything, you need to know the basics of how online marketing and Google search functions. By knowing the basics, you won’t waste time performing outdated tasks or being overcharged by an SEO Agency http://www.whitehatagency.com.au/seo-agency or marketing companies that recognize your lack of knowledge. Education is the key to success.

Use SEO

Search Engine Optimization is the method of attracting online attention and visibility through organic means. In essence, the unpaid search results - the paid search results typically have “sponsored” or “paid advertisement” written below them. But you can naturally drive traffic towards your site just by using the right keywords. Certain keywords will push your content, allowing it to be shown in the top results.

Meet the Google Standards

Google has standards which your website must fulfil prior to appearing as a #1 website in the search results. Google will flag any errors they deem needed fixed and you’re going to want to fix them, for example, broken links. If you don’t meet the standards, they’ll penalize all your pages until you fix them. So, take some time out of your day and make sure your website is fully functioning.

Content is everything

You may invest some top dollars in the look and appeal of your site but at the end of the day, it doesn’t really matter what your site looks like. What truly matters is the content as that will drive viewers to your site. The Google search results are designed to provide users with the most relevant material on the web. If your content isn’t providing value to the viewers, your material won’t make it to #1.

Focus on links

Links play an important role when it comes to Google’s ranking system. The way Google works is that it pays attention to the hyperlinks in content to figure out what keywords are tied to the link being used. Though this doesn’t mean your entire article should be made of links, if you use too many they’ll deem it as suspicious activity and your website can be taken from Google.

Google loves mobile-friendly

If you want to come up with a #1 site then you need to show Google that you’re updated and relevant to the current technology. In other words, you need to make your site mobile-friendly. Many users read material while on their way to work, on the bus or on their couch. So, if you’re not catering to smartphones, well, Google isn’t going to favor you.

Lebrau, C. (2020). 6 Ways to Get on the First Page of Google, HydroShare, http://www.hydroshare.org/resource/5b487a7dc6104628b10c2b6921b595e1

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Dataset Details





  Dataset Description

Dataset Name: Google Search Trends Top Rising Search Terms Description: The Google Search Trends Top Rising Search Terms dataset provides valuable insights into the most rapidly growing search queries on the Google search engine. It offers a comprehensive collection of trending search… See the full description on the dataset page: https://huggingface.co/datasets/hoshangc/google_search_terms_training_data.

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} }

The Google Trends dataset will provide critical signals that individual users and businesses alike can leverage to make better data-driven decisions. This dataset simplifies the manual interaction with the existing Google Trends UI by automating and exposing anonymized, aggregated, and indexed search data in BigQuery. This dataset includes the Top 25 stories and Top 25 Rising queries from Google Trends. It will be made available as two separate BigQuery tables, with a set of new top terms appended daily. Each set of Top 25 and Top 25 rising expires after 30 days, and will be accompanied by a rolling five-year window of historical data in 210 distinct locations in the United States. This Google dataset is hosted in Google BigQuery as part of Google Cloud's Datasets solution and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery