As of June 2024, global Google searches for the word "ChatGPT" increased again after a slight decline by the end of 2024. Interest in the chatbot, developed by the U.S.-based OpenAI and launched in November 2022, started rising in the week ending December 3, 2022. Recently, growing demand for information on ChatGPT made the keyword hit a peak of 100 index points during the week ending on June 2, 2024. ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a chatbot and AI-powered auto-generative text system able to give human-sounding replies and reproduce human-like interactions when prompted.

In 2020, many brand new trends were searched online for the first time. The most popular new search term worldwide typed to the Google search bar for the first time ever in 2020 was "my2020census gov". During the measured period, the search query generated a maximum monthly search volume of 13.6 million searches.

'*******' 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.

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: Travel & Accommodations: Lufthansa data was reported at 0.000 Score in 15 May 2025. This stayed constant from the previous number of 0.000 Score for 14 May 2025. Google Search Trends: Travel & Accommodations: Lufthansa data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 29.000 Score in 11 Dec 2021 and a record low of 0.000 Score in 15 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 Jamaica – Table JM.Google.GT: Google Search Trends: by Categories.

From March 2024 to March 2025, global interest in the search term “solo travel” on Google increased overall. Over the period considered, the keyword reached its highest level of popularity in the week ending December 29, 2024. Meanwhile, Google searches for the term “digital nomads” peaked in the week ending September 8, 2024.

Google Search Trends: Online Training: Udemy data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Google Search Trends: Online Training: Udemy 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 100.000 Score in 11 Feb 2023 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Online Training: Udemy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Saint Lucia – Table LC.Google.GT: Google Search Trends: by Categories.

As of June 2024, global searches for the keyword "generative AI" had experienced an increase in the previous year. The search terms for generative artificial intelligence surged in popularity from mid-February to early March 2024, hitting a score of 100 index points in the week ending March 3. Interest in "generative AI" frequently coincides with searches for ChatGPT, an AI chatbot model developed by the United States-based research company OpenAI.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

Keywords: Border Embassy Disconnected Cyber security Data protection Malware Hack Cyber attack VPN

Time period covered: January 1 2022 to March 31st 2022

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.

Google Search Trends: Online Classroom: Google Classroom data was reported at 1.000 Score in 14 May 2025. This records a decrease from the previous number of 2.000 Score for 13 May 2025. Google Search Trends: Online Classroom: Google Classroom 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 84.000 Score in 29 Sep 2022 and a record low of 0.000 Score in 11 May 2025. Google Search Trends: Online Classroom: Google Classroom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Laos – Table LA.Google.GT: Google Search Trends: by Categories.

This is the Google Search interest data that powers the Visualisation Searching For Health. Google Trends data allows us to see what people are searching for at a very local level. This visualization tracks the top searches for common health issues in the United States, from Cancer to Diabetes, and compares them with the actual location of occurrences for those same health conditions to understand how search data reflects life for millions of Americans.

How does search interest for top health issues change over time? From 2004–2017, the data shows that search interest gradually increased over the past few years. Certain regions show a more significant increase in search interest than others. The increase in search activity is greatest in the Midwest and Northeast, while the changes are noticeably less dramatic in California, Texas, and Idaho. Are people generally becoming more aware of health conditions and health risks?

The search interest data was collected using the Google Trends API. The visualisation also brings in incidences of each condition so they can be compared. The health conditions were hand-selected from the Community Health Status Indicators (CHSI) which provides key indicators for local communities in the United States. The CHSI dataset includes more than 200 measures for each of the 3,141 United States counties. More information about the CHSI can be found on healthdata.gov.

Many striking similarities exist between searches and actual conditions—but the relationship between the Obesity and Diabetes maps stands out the most. “There are many risk factors for type 2 diabetes such as age, race, pregnancy, stress, certain medications, genetics or family history, high cholesterol and obesity. However, the single best predictor of type 2 diabetes is overweight or obesity. Almost 90% of people living with type 2 diabetes are overweight or have obesity. People who are overweight or have obesity have added pressure on their body's ability to use insulin to properly control blood sugar levels, and are therefore more likely to develop diabetes.” —Obesity Society via obesity.org

Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data was reported at 2.000 Score in 24 Feb 2025. This stayed constant from the previous number of 2.000 Score for 23 Feb 2025. Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 24 Feb 2025, with 1182 observations. The data reached an all-time high of 23.000 Score in 22 Jul 2023 and a record low of 0.000 Score in 14 Feb 2025. Uzbekistan Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Uzbekistan – Table UZ.Google.GT: Google Search Trends: by Categories.

"Meteo", "Google", and "Traduction" were the most entered queries in the Google search engine in France in 2024, with index ratings of ***, **, and **, respectively. These were followed by "Météo" and "YouTube", scoring ** and ** index points relative to the most searched query.

Reliability of individual and averaged time series for selected Google Trends search terms.

Google Search Trends: Online Shopping: Tmall data was reported at 0.000 Score in 14 May 2025. This stayed constant from the previous number of 0.000 Score for 13 May 2025. Google Search Trends: Online Shopping: Tmall 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 40.000 Score in 05 Jun 2023 and a record low of 0.000 Score in 14 May 2025. Google Search Trends: Online Shopping: Tmall data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Saint Lucia – Table LC.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Online Classroom: Google Classroom data was reported at 30.000 Score in 01 May 2025. This records an increase from the previous number of 27.000 Score for 30 Apr 2025. Google Search Trends: Online Classroom: Google Classroom data is updated daily, averaging 32.000 Score from Dec 2021 (Median) to 01 May 2025, with 1248 observations. The data reached an all-time high of 100.000 Score in 06 Mar 2023 and a record low of 0.000 Score in 19 Apr 2025. Google Search Trends: Online Classroom: Google Classroom data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.Google.GT: Google Search Trends: by Categories.

Google Search Trends: Online Shopping: Walmart data was reported at 5.000 Score in 15 May 2025. This records a decrease from the previous number of 6.000 Score for 14 May 2025. Google Search Trends: Online Shopping: Walmart data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 15 May 2025, with 1262 observations. The data reached an all-time high of 82.000 Score in 10 Feb 2022 and a record low of 0.000 Score in 03 May 2025. Google Search Trends: Online Shopping: Walmart data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Saint Lucia – Table LC.Google.GT: Google Search Trends: by Categories.

Data collection of search data retrieved from Google Trends for brands of car manufacturers and their car brands as well as data for the brands of listed companies active in Europe. Data were retrieved using R code for a list of keywords of interest.

The aim of this project was to investigate whether data from Google Trends could be used to value brands. Currently brand valuation methods are highly complex and results are generally not available for many brands and are not comparable across brands. We downloaded Google Trends data for brands in the automotive sector and for the brands of listed companies. The data were then joined to other data about the firms and brands we collected from public sources. Analysis of this data showed that Google Trends data provides a good measure of changes to brand value for well established brands with national or global reach in the automotive sector. The data capture changes in brand value that are the result of exogeous shocks, e.g. as a result of product recalls. Google Trends data also contain information about variation in stock market value of listed companies that is not contained in data released through firms' quarterly and annual reports or in other publicly available data on intellectual property rights and citations of these rights.

The Google Trends data was complemented by data on car registrations and characteristics from various sources and data on various shocks affecting the car industry. These are not included in this dataset.

Brands are names, phrases, symbols or designs that identify particular products, which are often protected by trade marks. Trade marks help owners protect their reputation by forbidding use of their brand name by others.

Trade marks are usually registered, but not all registered marks are used. Much litigation arises over the extent of use and reputation of marks, which often results in costly surveys being run with data from trade mark registers and data from Google's search products. Data from Google's search products can be used to measure value and use of marks. In using these data, two important challenges must be overcome: heterogeneity of the data and attempts to manipulate the measures obtained. Both challenges will be addressed in the project.

The aim of this project was to improve the measurement of brand value and the measurement of trade mark use by combining data obtained from trade mark registers and data from Google's search products (Google Search, Google Trends and Google Insights for Search).

Data on search are heterogeneous because the reasons for searches are heterogeneous, they may reflect positive or negative brand interest. Additionally, attempts to manipulate Google's rankings of websites though the PageRank link analysis algorithm are legion. To overcome both problems we will consider ways of limiting search terms to obtain consistent measures of value from Google's search products.