From October to November 2024, approximately 49.6 percent of search queries on Google were navigational, when users seek specific websites. Alternatively, more than 52 percent of the intent on ChatGPT was informational, when users look for answers or data. On the other hand, the percentage of transactional and commercial queries stayed practically the same on both platforms.

As of the third quarter of 2024, using search engines was the most common activity to access online information for 89.8 percent of the internet users in the United States. Over 35.8 percent of respondents used their mobile phone to scan a QR code and around 32.3 percent of respondents visited social networks to look for information about brands and products.

In 2025, consumer spending on artificial intelligence (AI) assistants worldwide was projected to be around 12.1 billion U.S. dollars. General AI assistants have gathered around 81 percent of this value, representing around 9.8 billion U.S. dollars. Specialized AI tools gathered around 2.3 billion U.S. dollars, thus representing around 19 percent of the total user spending on such tools.

According to a June 2025 study, Perplexity's citations were most consistent with Google's top 10 rankings. The tool displayed a 91 percent domain overlap and an 82 percent URL overlap, suggesting it relied on Google's top 10 to decide what content to mention. This rate surpassed Google's AI overviews, which depicted an 86 percent domain and 67 percent URL overlap, suggesting a significant dependence on Google's conventional search index. Out of all the models examined, ChatGPT had the lowest rates when compared to Google's results.

In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

Success.ai’s Online Search Trends Data API empowers businesses, marketers, and product teams to stay ahead by monitoring real-time online search behaviors of over 700 million users worldwide. By tapping into continuously updated, AI-validated data, you can track evolving consumer interests, pinpoint emerging keywords, and better understand buyer intent.

This intelligence allows you to refine product positioning, anticipate market shifts, and deliver hyper-relevant campaigns. Backed by our Best Price Guarantee, Success.ai’s solution provides the valuable insight needed to outpace competitors, adapt to changing market dynamics, and consistently meet consumer expectations.

Why Choose Success.ai’s Online Search Trends Data API?

1. Real-Time Global Insights

   • Leverage up-to-the-minute search data from users spanning all major industries, regions, and demographics.
   • Confidently tailor campaigns, content, and product roadmaps to match dynamic consumer interests and seasonality.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy through AI-driven validation, reducing guesswork and improving conversion rates.
   • Make data-driven decisions supported by credible, continuously refreshed intelligence.

3. Continuous Data Updates

   • Stay aligned with changing market conditions, competitor moves, and evolving consumer behaviors as they happen.
   • Adapt swiftly to shifting trends, product demands, and industry developments, maintaining long-term relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and brand protection.

Data Highlights:

• 700M+ Global User Insights: Access search trends, queries, and user behaviors for unparalleled audience understanding.
• Real-Time Updates: Maintain agility in content creation, product development, and marketing strategies.
• AI-Validated Accuracy: Trust in high-fidelity data to inform critical decisions, reducing wasted investments.
• Best Price Guarantee: Maximize ROI by accessing premium-quality data at unbeatable value.

Key Features of the Online Search Trends Data API:

1. On-Demand Trend Analysis

   • Query the API to identify emerging keywords, popular topics, and changing consumer priorities.
   • React rapidly to new opportunities, delivering content and offers that resonate with current market interests.

2. Advanced Filtering and Segmentation

   • Filter by region, industry vertical, time frames, or user attributes.
   • Focus on audiences and themes most relevant to your strategic goals, improving campaign performance and message relevance.

3. Real-Time Validation and Reliability

   • Benefit from AI-driven validation to ensure data integrity and accuracy.
   • Reduce risk, optimize resource allocation, and confidently direct initiatives supported by up-to-date, trustworthy data.

4. Scalable and Flexible Integration

   • Easily integrate the API into existing marketing automation platforms, analytics tools, or product management software.
   • Adjust parameters as goals evolve, ensuring long-term flexibility and alignment with strategic objectives.

Strategic Use Cases:

1. Product Development and Innovation

   • Identify rising user interests, unmet needs, or competitive gaps by analyzing search trends.
   • Shape product features, enhancements, or entirely new offerings based on verified consumer demand.

2. Content Marketing and SEO

   • Uncover trending topics, popular keywords, and seasonal interests to produce relevant content.
   • Improve organic reach, engagement, and lead generation by meeting users at the intersection of their search intent.

3. Market Entry and Expansion

   • Validate market readiness and user curiosity in new regions or niches.
   • Enter unfamiliar territories or launch product lines confidently, backed by real-time search insights.

4. Advertising and Campaign Optimization

   • Align ad creatives, messaging, and promotions with the most popular search terms.
   • Increase CTRs, conversions, and overall campaign efficiency by resonating more deeply with consumer interests.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality search trends data at the most competitive prices, ensuring exceptional ROI on data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into your workflow with ease, enhancing productivity and eliminating data silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide strategies, refine targeting, and achieve stronger engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, filters, and time frames to your evolving market conditions, strategic ambitions, and audience needs.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API
   • Combine search trends data with o...

Datasys Categorized Search Behavior organizes millions of daily searches into industry-based categories like retail, finance, travel, and technology. By grouping raw search queries into verticals, this dataset makes it easy to monitor demand shifts, compare interest across sectors, and build targeted audience profiles for digital campaigns.

As of April 2024, search engines powered by artificial intelligence (AI) results were the preferred search tools among the majority of teens in the United States, with 20 percent of them using them every day. Around 27 percent of U.S. teens reported using chatbots for online search daily, while around 20 percent of survey respondents stated that they use AI tools for image generation each day. Overall, seven percent reported using image generators multiple times in a week, while five percent used video generators as often.

This dataset includes the detailed values and scripts used to study behavioral aspects of users searching online for Art and Culture by analyzing quantitative data collected by the Art Boulevard search engine using machine learning techniques. This dataset is part of the core methodology, results and discussion sections of the research paper entitled "Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques"

As search engines have become the main information resources of our daily life, studies about search behavior on the internet have gained great popularity with the growing knowledge of how the search behavior itself can affect our daily decisions, e.g. what to purchase, where to travel and even how to define beauty. However, there is no consensus conclusion whether the search behavior itself or the linguistic meaning behind it that can affect their decision. After analyzing the linguistic meanings of 13,915 English words obtained from Google Trends and its profit gained from the US house market by automatic transactions. It is found that linguistic meanings can affect financial decision results as word clusters with supervised machine learning methods.

Effects of the pandemic on search intensity, excluding Hubei Province.

Unlock the Power of Behavioural Data with GDPR-Compliant Clickstream Insights.

Swash clickstream data offers a comprehensive and GDPR-compliant dataset sourced from users worldwide, encompassing both desktop and mobile browsing behaviour. Here's an in-depth look at what sets us apart and how our data can benefit your organisation.

User-Centric Approach: Unlike traditional data collection methods, we take a user-centric approach by rewarding users for the data they willingly provide. This unique methodology ensures transparent data collection practices, encourages user participation, and establishes trust between data providers and consumers.

Wide Coverage and Varied Categories: Our clickstream data covers diverse categories, including search, shopping, and URL visits. Whether you are interested in understanding user preferences in e-commerce, analysing search behaviour across different industries, or tracking website visits, our data provides a rich and multi-dimensional view of user activities.

GDPR Compliance and Privacy: We prioritise data privacy and strictly adhere to GDPR guidelines. Our data collection methods are fully compliant, ensuring the protection of user identities and personal information. You can confidently leverage our clickstream data without compromising privacy or facing regulatory challenges.

Market Intelligence and Consumer Behaviour: Gain deep insights into market intelligence and consumer behaviour using our clickstream data. Understand trends, preferences, and user behaviour patterns by analysing the comprehensive user-level, time-stamped raw or processed data feed. Uncover valuable information about user journeys, search funnels, and paths to purchase to enhance your marketing strategies and drive business growth.

High-Frequency Updates and Consistency: We provide high-frequency updates and consistent user participation, offering both historical data and ongoing daily delivery. This ensures you have access to up-to-date insights and a continuous data feed for comprehensive analysis. Our reliable and consistent data empowers you to make accurate and timely decisions.

Custom Reporting and Analysis: We understand that every organisation has unique requirements. That's why we offer customisable reporting options, allowing you to tailor the analysis and reporting of clickstream data to your specific needs. Whether you need detailed metrics, visualisations, or in-depth analytics, we provide the flexibility to meet your reporting requirements.

Data Quality and Credibility: We take data quality seriously. Our data sourcing practices are designed to ensure responsible and reliable data collection. We implement rigorous data cleaning, validation, and verification processes, guaranteeing the accuracy and reliability of our clickstream data. You can confidently rely on our data to drive your decision-making processes.

Online Gaming Insights Dataset Analysis

📊 Dataset Overview

This dataset contains 1,831 records of player gaming behavior with 13 features covering demographic information, gameplay patterns, and engagement metrics. The data appears to be synthetically generated for gaming analytics research.

🎯 Dataset Purpose

This dataset is designed for player behavior analysis, engagement prediction, and gaming industry insights. It can be used to understand player preferences, predict churn, optimize game design, and target marketing strategies.

📋 Data Structure

Core Features:

🔍 Key Insights from Initial Analysis

Demographic Distribution:

• Age Range: Broad distribution from teenagers (15) to adults (49)
• Gender: Balanced male/female representation
• Geographic Spread: USA, Europe, Asia, Other regions covered

Gameplay Patterns:

• Play Time: Wide variance (some players <1 hour, others >20 hours)
• Session Behavior: Frequent short sessions vs. infrequent long sessions
• Progression: Player levels show diverse progression rates
• Monetization: Mixed in-game purchase behavior

Game Preferences:

• All major genres represented: Strategy, Sports, Action, RPG, Simulation
• Difficulty levels evenly distributed across games

🤖 Machine Learning Prediction Opportunities

1. Player Engagement Prediction

# Target: EngagementLevel (Low, Medium, High)
# Features: All other columns
# Model Type: Multi-class Classification
# Algorithms: Random Forest, XGBoost, Neural Networks

Internet of Behaviors Market size is expected to be worth around USD 811 Bn by 2032 from USD 417 Billion in 2023, growing at a CAGR of 23%

Yearly citation counts for the publication titled "A state transition analysis of online information‐seeking behavior".

Global Internet of Behaviors Market size and share are expected to exceed USD 2,635.01 billion by 2032, with a compound annual growth rate (CAGR) of 21.8% during the forecast period.

This anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.

We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.

The data set is analyzed in the following paper:

• Kulshrestha, J., Oliveira, M., Karacalik, O., Bonnay, D., Wagner, C. "Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data." Proceedings of the International AAAI Conference on Web and Social Media. 2021. https://arxiv.org/abs/2012.15112.

The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.

If you use data or code from this repository, please cite the paper above and the Zenodo link.

Users are advised that some domains in this data set may link to potentially questionable or inappropriate content. The domains have not been individually reviewed, as content verification was not the primary objective of this data set. Therefore, user discretion is strongly recommended when accessing or scraping any content from these domains.

Effects of the pandemic on search intensity by fixed broadband Internet access per capita.

Effects of the pandemic on search intensity, excluding regions with late reopening.

Internet Search Portals Market Outlook

The global Internet Search Portals market size was valued at approximately USD 150 billion in 2023 and is anticipated to grow with a robust CAGR of 7.5% from 2024 to 2032, reaching an estimated value of USD 291 billion by 2032. This growth trajectory is primarily driven by the increasing penetration of the internet and the proliferation of mobile devices, which enhance accessibility and usage of search portals globally. With the rapid advancement of technology, the demand for personalized and efficient search experiences is propelling the market upwards.

The escalating volume of digital content and the need for its efficient retrieval are key growth factors for the Internet Search Portals market. As the digital realm expands, users are inundated with information, necessitating advanced search functionalities to sift through data effectively. This has led to heightened investments in artificial intelligence and machine learning within search algorithms, making search portals smarter and more intuitive. Furthermore, the integration of voice recognition and natural language processing technologies is enhancing user experience, driving further market expansion. The quest for an optimized and seamless user interface continues to fuel the innovation within this domain.

Another significant growth factor is the increasing reliance on data analytics by businesses to gain insights and drive decision-making processes. Internet search portals are evolving beyond mere information retrieval systems to become integral tools for market analysis, trend spotting, and consumer behavior understanding. Enterprises are leveraging search data to optimize their marketing strategies, refine product offerings, and enhance customer engagement. This is particularly evident in sectors like e-commerce and digital marketing, where search portals serve as the backbone for operations and strategy formulation. As businesses continue to recognize the value of search data, the demand for sophisticated search portals is set to rise.

The surge in mobile internet usage is also a critical factor propelling the growth of the Internet Search Portals market. With smartphones becoming ubiquitous, users are increasingly accessing search portals via mobile devices. This mobile-first approach has prompted search providers to optimize their platforms for mobile compatibility, enhancing speed, usability, and user experience on smaller screens. The proliferation of mobile search is expected to continue, supported by advancements in 5G technology, which promises faster data speeds and improved connectivity. This trend is anticipated to further bolster the market, as it aligns with the growing consumer preference for on-the-go information access.

Regionally, North America holds a significant share of the Internet Search Portals market, driven by technological advancements and a high internet penetration rate. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period. Factors such as increasing smartphone adoption, rising internet accessibility, and the burgeoning middle-class population contribute to this growth. Furthermore, governments in this region are investing heavily in digital infrastructure, creating a conducive environment for the proliferation of search portals. Meanwhile, Europe continues to show steady growth, emphasizing data privacy and regulatory compliance, which are shaping the market dynamics in this region.

Type Analysis

The Internet Search Portals market can be segmented into General Search Portals and Vertical Search Portals. General Search Portals dominate the market, catering to a vast array of user queries across numerous topics and categories. These portals are typically characterized by their broad scope and ability to retrieve a wide range of information, making them indispensable tools for everyday internet users. The widespread adoption of these portals is driven by their user-friendly interfaces and comprehensive search capabilities, which allow users to find relevant information with ease. General search portals are continuously evolving, incorporating advanced technologies such as artificial intelligence and machine learning to enhance search accuracy and user satisfaction.

Vertical Search Portals, on the other hand, are designed to provide more focused and domain-specific search experiences. They serve niche markets by offering specialized content and resources, catering to users with specific interests or requirements. Examples include travel search engines, job search portals, and shopping search p