As of August 2023, around half of NFL fans aged 18-29 were white. Meanwhile, ** percent of NFL fans aged 30 or older were Black, while this figure stood at ** percent among those aged 18 to 29.

The National Football League comprises 32 teams from across the United States competing in two conferences split roughly by region. The NFL is one of the most popular professional sports leagues in the United States, with televised games attracting millions of viewers each week. A January 2025 survey found that 32 percent of Americans aged 34 to 54 considered the NFL to be their top interest.

With over eight million fans, the Dallas Cowboys were the most followed National Football League team on Facebook as of November 2024. Second on the list were the New England Patriots, six-time winners of the Super Bowl. NFL on social mediaWhile the Cowboys lead the way on Facebook, the New England Patriots have the largest following on X (Twitter). The New England team had around 4.65 million fans as of November 2024. Meanwhile, the team with the lowest social media following, on Facebook and Twitter, were the Jacksonville Jaguars.The cost of being an NFL fanFollowing your favorite team on social media is one thing, but it does not compare to the atmosphere of being at a live game. However, while football is loved across America, being a fan of the sport does not come cheap. The average cost for a family of four to enjoy a home game in the NFL, including refreshments and merchandise, came to a staggering 631 U.S. dollars in 2023. This marks an increase of nearly 300 U.S. dollars on the figure from 2006.

The National Football League comprises 32 teams from across the United States competing in two conferences split roughly by region. The NFL is one of the most popular professional sports leagues in the United States, with televised games attracting millions of viewers each week. This survey depicts the level of interest in the NFL in the United States, and it showed that 42 percent of Black respondents were avid fans of the NFL as of April 2023.

Analysis of ‘How Every NFL Team’s Fans Lean Politically?’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/nfl-fandome on 28 January 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

Data behind the story How Every NFL Team’s Fans Lean Politically.

Google Trends Data

Google Trends data was derived from comparing 5-year search traffic for the 7 sports leagues we analyzed:

https://g.co/trends/5P8aa

Results are listed by designated market area (DMA).

The percentages are the approximate percentage of major-sports searches that were conducted for each league.

Trump's percentage is his share of the vote within the DMA in the 2016 presidential election.

SurveyMonkey Data

SurveyMonkey data was derived from a poll of American adults ages 18 and older, conducted between Sept. 1-7, 2017.

Listed numbers are the raw totals for respondents who ranked a given NFL team among their three favorites, and how many identified with a given party (further broken down by race). We also list the percentages of the entire sample that identified with each party, and were of each race.

The data is available under the Creative Commons Attribution 4.0 International License and the code is available under the MIT License. If you do find it useful, please let us know.

Source: https://github.com/fivethirtyeight/data

This dataset was created by FiveThirtyEight and contains around 0 samples along with Unnamed: 10, Unnamed: 4, technical information and other features such as: - Unnamed: 3 - Unnamed: 1 - and more.

How to use this dataset

• Analyze Unnamed: 13 in relation to Unnamed: 21
• Study the influence of Unnamed: 7 on Unnamed: 12
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Acknowledgements

If you use this dataset in your research, please credit FiveThirtyEight

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--- Original source retains full ownership of the source dataset ---

Fantasy Football Market Outlook

In 2023, the global fantasy football market size was valued at approximately USD 24.4 billion, and it is projected to reach USD 48.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.9%. This robust growth is driven by the increasing popularity of sports betting, the expansion of internet penetration, and the evolving digital landscape that has made fantasy sports more accessible to a global audience.

The burgeoning interest in fantasy football is significantly fueled by the thrill associated with virtual sports management and the competitive spirit it invokes among participants. The advent of high-speed internet and the proliferation of smartphones have considerably lowered entry barriers, enabling users from diverse demographics to engage with fantasy football platforms. Enhanced user interfaces and the strategic inclusion of real-time data and analytics have further enriched the user experience, making the game more immersive and engaging. Additionally, the growing partnerships between fantasy sports platforms and major sports leagues have enhanced the credibility and reach of the market.

Another crucial growth factor is the increasing monetization avenues within the fantasy football ecosystem. Platforms are leveraging ad revenues, subscription models, and in-app purchases to enhance their profitability. The introduction of innovative revenue streams like virtual goods, personalized content, and premium features provides substantial growth opportunities. Furthermore, the gamification of fantasy sports, including interactive features like social sharing and leaderboards, has significantly contributed to user retention and engagement.

Public perception and societal trends have also played a pivotal role in the market's growth. The cultural acceptance of fantasy sports as a mainstream activity has expanded its demographic reach beyond traditional sports enthusiasts. The integration of fantasy sports into mainstream media, including dedicated shows and podcasts, has increased visibility and user adoption. This cultural shift has also led to the formation of fantasy football communities, fostering a sense of camaraderie and collective enthusiasm.

American Football has played a pivotal role in the evolution of fantasy sports, particularly in North America, where the National Football League (NFL) stands as the most popular league for fantasy football. The deep-rooted passion for American Football among fans has translated into a robust fantasy football culture, with millions of participants engaging in both daily and season-long leagues. The NFL's extensive media coverage and the availability of detailed player statistics have made it an ideal sport for fantasy leagues, offering fans an opportunity to test their managerial skills and engage with the sport on a deeper level. This engagement is further amplified by the NFL's active promotion of fantasy football, which has helped to sustain and grow its fan base over the years.

From a regional perspective, North America continues to dominate the fantasy football market, driven by the high penetration of internet services and the strong sports culture in the region. The United States alone accounts for a significant portion of the market owing to the popularity of the National Football League (NFL). Meanwhile, Europe and the Asia Pacific are emerging as significant growth regions. The increasing popularity of soccer and the rising number of internet users in countries like India and China are expected to contribute to the market's expansion in these regions.

Platform Analysis

The fantasy football market is segmented into mobile applications and websites based on the platform. Mobile applications have revolutionized the fantasy sports experience by offering users the convenience of managing their teams on the go. The advent of sophisticated mobile apps with user-friendly interfaces, real-time updates, and interactive features has significantly enhanced user engagement. The integration of advanced analytics and personalized recommendations in mobile applications has made it easier for users to make informed decisions, thereby increasing user satisfaction and retention.

On the other hand, websites continue to be a popular platform among a segment of users who prefer a more detailed and expansive interface. Websites offer a broader range of features and functionalities compared to mobile applicatio

The National Football League (NFL) is a professional football league in the United States comprising 32 teams spread out over two conferences. As one of the biggest professional sports leagues in the country, it is no surprise that the NFL attracts fans from all walks of life. In a 2020 survey, it was found that ** percent of Los Angeles fans were Hispanic, while ** percent were Black.

Content

NFL Favorite Team

This folder contains data behind the story The Rams Are Dead To Me, So I Answered 3,352 Questions To Find A New NFL Team.

team-picking-categories.csv contains grades for each NFL franchise in 16 categories, to be used to pick a new favorite team.

Should be used in conjunction with weights derived from a survey structured like this: http://www.allourideas.org/nflteampickingsample.

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

This research examines brand loyalty and team identification among fans of National Football League (NFL) teams and how loyalty to football, NFL teams and athletes is impacted by the changing dynamics of the fanbase. Brand loyalty in sports is complex and fan attachment to their teams often provoke intense emotional responses. The research employed a Likert-type survey questionnaire pre- and post-test and an emotional response pictorial assessment using Self-Assessment Manakin (SAM) to measure emotional dimensions. Descriptive and parametric statistics were used to measure the relationships between NFL team loyalty (team commitment and team identification), emotional response (pleasure-arousal-dominance) and team and player social activist behaviors. The research also assesses the relationships between demographic and background and team and player activist behaviors to determine changes in fan dynamics. The findings show moderate positive relationships between team loyalty, team and player activist behaviors, younger age and middle income. This document is for survey and mathematical modeling process analysis and data collection

The Fan Cost Index strives to calculate the cost of taking a family to an NFL game, including the cost of tickets, parking, and refreshments. According to the ranking, an average family of four would need to spend in excess of 800 U.S. dollars to enjoy a game at the Las Vegas Raiders.

IntroductionIn the modern competitive landscape of football, clubs are increasingly leveraging data-driven decision-making to strengthen their commercial positions, particularly against rival clubs. The strategic allocation of resources to attract and retain profitable fans who exhibit long-term loyalty is crucial for advancing a club's marketing efforts. While the Recency, Frequency, and Monetary (RFM) customer segmentation technique has seen widespread application in various industries for predicting customer behavior, its adoption within the football industry remains underexplored. This study aims to address this gap by introducing an adjusted RFM approach, enhanced with the Analytic Hierarchy Process (AHP) and unsupervised machine learning, to effectively segment football fans based on Customer Lifetime Value (CLV).MethodsThis research employs a novel weighted RFM method where the significance of each RFM component is quantified using the AHP method. The study utilizes a dataset comprising 500,591 anonymized merchandising transactions from Amsterdamsche Football Club Ajax (AFC Ajax). The derived weights for the RFM variables are 0.409 for Monetary, 0.343 for Frequency, and 0.248 for Recency. These weights are then integrated into a clustering framework using unsupervised machine learning algorithms to segment fans based on their weighted RFM values. The simple weighted sum approach is subsequently applied to estimate the CLV ranking for each fan, enabling the identification of distinct fan segments.ResultsThe analysis reveals eight distinct fan clusters, each characterized by unique behaviors and value contributions: The Golden Fans (clusters 1 and 2) exhibit the most favourable scores across the recency, frequency, and monetary metrics, making them relatively the most valuable. They are critical to the club's profitability and should be rewarded through loyalty programs and exclusive services. The Promising segment (cluster 3) shows potential to ascend to Golden Fan status with increased spending. Targeted marketing campaigns and incentives can stimulate this transition. The Needs Attention segment (cluster 4) are formerly loyal fans whose engagement has diminished. Re-engagement strategies are vital to prevent further churn. The New Fans segment (clusters 5 and 6) are fans who have recently transacted and show potential for growth with proper engagement and personalized offerings. Lastly, the Churned/Low Value segment (clusters 7 and 8) are fans who relatively contribute the least and may require price incentives to potentially re-engage, though they hold relatively lower priority compared to other segments.DiscussionThe findings validate the proposed method's utility through its application to AFC Ajax's Customer Relationship Management (CRM) data and provides a robust framework for fan segmentation in the football industry. The approach offers actionable insights that can significantly enhance marketing strategies by identifying and prioritizing high-value segments based on the club's preferences and requirements. By maintaining the loyalty of Golden Fans and nurturing the Promising segment, football clubs can achieve substantial gains in profitability and fan engagement. Additionally, the study underscores the necessity of re-engaging formerly loyal fans and fostering new fans' growth to enable long-term commercial success. This methodology not only aims to bridge a research gap, but also equips marketing practitioners with data-driven tools for effective and efficient customer segmentation in the football industry.

The fan controlled football market size was valued at USD 621 million in 2024 and is projected to reach USD 3.5 billion by the end of 2037, rising at a CAGR of 15% during the forecast period, i.e., 2025-2037. North America industry is expected to garner a robust 41% share during the forecast period, owing to the region’s expanding sports culture and technological innovations.

American Football is one of the most popular sports in the United States, enjoyed by thousands of people live in the stadiums and millions more back home. The highest league in the land is the NFL, which consists of 32 teams divided equally into two conferences. At the end of the season, the two best-performing teams compete for the ultimate prize at the Super Bowl. During a 2020 survey in the United States, 38 percent of NFL fans stated that they were Democrats.

The dataset has been used for the titled "Unveiling the Sentiments and Opinions of Football Fans towards Video Assistant Referee (VAR) Technology: A Natural Language Processing Analysis" provides valuable insights into the attitudes and opinions of football fans towards VAR technology. The dataset is the result of a natural language processing analysis of social media posts and online discussions related to VAR technology. It includes a comprehensive collection of sentiments, opinions, and attitudes expressed by football fans towards VAR technology, and provides researchers and analysts with a wealth of data to help them understand the public perception of this emerging technology in football. It can be used for further analysis in text analytics.

Artificial Intelligence (AI) in Sports Analytics Market Outlook

According to our latest research, the global Artificial Intelligence (AI) in Sports Analytics market size reached USD 2.8 billion in 2024. The market is expected to grow at a robust CAGR of 28.6% during the forecast period, reaching approximately USD 25.3 billion by 2033. This remarkable growth is being fueled by the increasing adoption of AI-driven solutions for data-driven decision-making, enhanced player performance analysis, and the rising demand for personalized fan experiences across sports organizations worldwide.

One of the primary growth factors for the AI in Sports Analytics market is the exponential increase in data generated from various sporting activities, including player statistics, match footage, and biometric data. The ability of AI algorithms to process and analyze large volumes of diverse data in real time is revolutionizing how teams and coaches approach training, strategy formulation, and in-game decisions. Advanced machine learning models are enabling sports organizations to extract actionable insights that were previously unattainable, leading to improved player performance, reduced injury risks, and optimized team management. As sports become increasingly competitive, the reliance on AI-powered analytics tools is expected to intensify, further driving market expansion.

Another significant driver is the growing emphasis on fan engagement and media innovation. Sports organizations are leveraging AI to deliver personalized content, interactive experiences, and real-time statistics to fans through digital platforms and broadcast media. AI-powered systems can analyze viewer preferences, social media interactions, and historical data to tailor content and advertisements, enhancing fan loyalty and opening new revenue streams. The integration of AI in broadcasting also enables automated highlight generation, advanced commentary, and immersive viewing experiences, which are reshaping the sports entertainment landscape and contributing to the rapid adoption of AI-based analytics solutions.

The increasing collaboration between technology providers and sports entities is further accelerating the market’s growth trajectory. Partnerships between AI software developers, sports analytics firms, and professional sports teams are resulting in the development of customized solutions tailored to specific sports and organizational needs. Investments in research and development, coupled with the proliferation of cloud computing and IoT devices, are making AI-powered analytics more accessible and cost-effective. As a result, even mid-tier and amateur sports organizations are beginning to adopt these technologies, broadening the market’s addressable base and fueling sustained growth.

From a regional perspective, North America currently dominates the AI in Sports Analytics market, accounting for the largest share in 2024, thanks to the presence of leading sports franchises, advanced technological infrastructure, and high investment in sports technology. However, Europe and the Asia Pacific regions are rapidly emerging as key growth markets, driven by increasing sports commercialization, digital transformation initiatives, and the rising popularity of sports such as football, cricket, and basketball. The Middle East & Africa and Latin America are also witnessing growing adoption, albeit at a relatively slower pace, due to increasing investments in sports infrastructure and the proliferation of digital platforms.

Component Analysis

The Component segment of the AI in Sports Analytics market is bifurcated into Software and Services. Software solutions constitute the backbone of AI-driven analytics, encompassing platforms for data collection, processing, visualization, and predictive modeling. These platforms are being widely adopted by sports teams and associations for tasks such as performance tracking, tactical analysis, and injury prevention. The demand for ad

Fan aggression is a societal problem that affects many sports clubs worldwide. It should be handled in all dimensions to prevent individual and social aggression in sports environments. The study aims to examine the factors affecting the aggression levels of football fans. The study sample consisted of 909 people, 474 males, and 435 females. In addition to the personal information form, the "Buss-Perry Aggression Questionnaire" and "Football Fanaticism Scale" were used as data collection tools. Pearson Product Moment Correlation Analysis was used to determine the relationships between variables, and Multiple Linear Regression Analysis was used to examine the predictive power of independent variables on aggression. The results show that aggression predicts fanaticism positively, team identity, age, and education level negatively. As a result, it can be said that fanaticism, team identity, age, education level, and gender are the main predictors of aggression (40%).

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Artificial Intelligence (AI) In Sports Market Size 2024-2028

The artificial intelligence (ai) in sports market size is forecast to increase by USD 6.42 billion at a CAGR of 33.13% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing demand for data integration and visual analytics in the sports industry. The integration of AI technologies enables sports teams and organizations to gain valuable insights from vast amounts of data, leading to improved performance and fan engagement. Moreover, the adoption of cloud-based AI solutions is on the rise, offering cost-effective and scalable alternatives to traditional on-premises systems. However, the market faces a notable challenge: the lack of a skilled workforce capable of developing and implementing AI algorithms. This shortage of expertise poses a significant obstacle for teams and organizations seeking to capitalize on the potential of AI in sports.
To overcome this challenge, companies are exploring partnerships with AI companies and academic institutions, as well as investing in training and upskilling their existing workforce. Effective collaboration and strategic workforce development initiatives will be crucial for organizations looking to stay competitive in the rapidly evolving AI in Sports market.

What will be the Size of the Artificial Intelligence (AI) In Sports Market during the forecast period?

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How is this Artificial Intelligence (AI) In Sports Industry segmented?

The artificial intelligence in sport market 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.

Type

  Football
  Cricket
  Tennis
  Basketball
  Other


Offering

  Solution
  Services
  Fan engagement & Experience enhancement
  Solution
  Services
  Fan engagement & Experience enhancement


Sport Type

  Team Sports
  Individual Sports
  E-Sport
  Team Sports
  Individual Sports
  E-Sport


Technology

  Machine Learning
  Computer Vision
  Natural Language Processing


Application

  Athlete Performance
  Fan Engagement
  Injury Prevention
  Game Strategy


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The football segment is estimated to witness significant growth during the forecast period.

In the dynamic world of sports, Artificial Intelligence (AI) is revolutionizing various aspects, from recruitment and scouting to fan engagement. The football segment dominates the global AI market due to the integration of technologies like IoT devices, GPS trackers, and computer vision algorithms for player and ball movement tracking. Machine learning platforms, text analytics, robotic process automation, image and video analysis, deep learning, and speech recognition are driving growth. AI-powered coaching, predictive modeling, and performance measurement offer personalized training plans, while natural language processing facilitates social media integration and fan experience enhancement. Sports betting, fantasy sports, and sponsorship management also benefit from AI's predictive capabilities.

Smart stadiums, skill development, and sports governance are further areas of application. Computer vision, deep learning, and data-driven decision making optimize game strategy, performance, and fan engagement. Wearable technology, player health monitoring, and injury prediction are essential for athlete performance analysis and sports medicine. AI's role extends to referee assistance, fraud detection, ticket sales, and even game development with virtual athletes. The rise of AI in sports is a testament to the industry's embrace of technology, fostering a more immersive, harmonious, and data-driven sports ecosystem.

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The Football segment was valued at USD 514.10 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 31% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In the dynamic world of sports, Artificial Intelligence (AI) is increasingly becoming a game-changer. Across North America, the use of AI is gaining momentum, driven by advanced economies such as the US and Canada. AI applications in sports span various sectors, from recruitment and scouting to player health and fan engagement. Management software in major sports events is a significant growth

Sporting Events Market Outlook

The global sporting events market is experiencing significant growth, with a market size that was valued at approximately $600 billion in 2023 and is projected to reach around $900 billion by 2032, reflecting a CAGR of 4.5%. This robust growth is driven by an array of factors including the increasing popularity of sports among a global audience, advancements in digital technology that enhance fan engagement, and the rising investment in sports infrastructure across various regions. The expanding reach of sports through digital platforms and live streaming services has made sporting events more accessible than ever before, fostering a larger fan base and, consequently, greater revenue opportunities.

The growing globalization of sports, where international events are becoming more frequent and accessible, significantly propels market growth. Major sporting events like the Olympics, FIFA World Cup, and regional tournaments attract massive global audiences, translating into substantial revenue through diverse streams such as broadcasting rights and sponsorships. Technological advancements are also revolutionizing the way audiences engage with sports, with innovations like virtual and augmented reality enhancing the viewing experience. Additionally, the integration of data analytics in sports helps in improving team performances and in tailoring strategies to enhance fan engagement, further driving the market expansion.

Another substantial growth factor is the rising investment in sports infrastructure. Governments and private entities are increasingly investing in the development of new stadiums and renovation of existing facilities to attract major events. This trend is particularly evident in developing countries, where hosting international sports events is seen as a means to boost tourism and enhance the country's global image. Moreover, the proliferation of sports leagues and tournaments in these regions is generating numerous opportunities for market participants. Such investments not only improve the quality of sporting events but also contribute to the economic development of the host locations, thereby driving the overall market growth.

The commercialization of sports is an essential factor influencing the market's growth trajectory. Sports have become a lucrative industry, attracting investments from corporations looking to tap into the extensive visibility that sports offer. Sponsorship and advertising opportunities remain abundant, with brands keen to associate their image with popular sports events to reach a broad audience. This commercial interest has led to increased monetization opportunities within the sports industry, which is further propelled by the emergence of eSports as a competitive and financially rewarding segment. The inclusion of eSports in mainstream sporting events is expanding the traditional sports market, engaging younger demographics and tech-savvy audiences.

Regionally, North America continues to dominate the sporting events market owing to its established sporting culture and infrastructure. The region boasts several major sports leagues like the NFL, NBA, and MLB, which attract large audiences and generate substantial revenue from broadcasting and sponsorship deals. The Asia Pacific region, however, is emerging as a significant market player, driven by a growing middle class and increasing disposable income. The enthusiasm for sports such as cricket, football, and basketball is on the rise, along with the popularity of eSports, positioning the region as a key growth area. Europe continues to hold a strong position thanks to its rich sporting history and hosting of major events like the UEFA Champions League, while Latin America and the Middle East & Africa are showing promising growth due to rising sports participation and infrastructure development.

Type Analysis

The sporting events market is broadly categorized into team sports, individual sports, and eSports. Team sports, which include popular games like football, basketball, and cricket, dominate the market owing to their massive global fan base and extensive media coverage. These sports have a long-standing tradition and enjoy immense popularity across various continents, contributing significantly to the revenue generated from ticket sales, broadcasting, and sponsorships. The collaborative nature of team sports fosters community spirit and regional loyalty, which translates into sustained audience engagement and financial support from local businesses and global corporations alike.

Individual sports, such as tennis, golf, and ath

Fantasy Sports Market Outlook

According to our latest research, the global fantasy sports market size reached USD 29.4 billion in 2024, reflecting robust growth driven by increasing digital adoption and the rising popularity of sports-based entertainment worldwide. The market is projected to grow at a CAGR of 13.7% from 2025 to 2033, reaching a forecasted value of USD 92.3 billion by 2033. This impressive expansion is fueled by technological advancements, growing smartphone penetration, and evolving consumer preferences for interactive and immersive experiences in sports engagement.

One of the primary growth factors for the fantasy sports market is the surge in internet connectivity and mobile device usage globally. With the proliferation of affordable smartphones and high-speed internet, users can now access fantasy sports platforms seamlessly, regardless of their location. This accessibility has democratized participation, enabling fans from diverse demographics to actively engage in fantasy leagues. Furthermore, the integration of real-time data analytics and AI-driven insights has enhanced user experience, making team selection, performance tracking, and in-game strategies more interactive and data-driven. This technological integration not only attracts seasoned sports enthusiasts but also draws in new users seeking an engaging and competitive environment.

Another significant driver is the increasing popularity of major sporting events and leagues, which has a direct positive impact on the fantasy sports ecosystem. Global events such as the FIFA World Cup, the Indian Premier League (IPL), the National Football League (NFL), and the NBA have witnessed exponential viewership, translating into higher user engagement on fantasy platforms. Brands and sponsors are leveraging this trend by partnering with fantasy sports companies to enhance fan engagement and brand visibility. Additionally, the gamification of sports through fantasy leagues allows users to test their knowledge, compete with peers, and win rewards, further incentivizing participation and boosting market growth.

The evolving regulatory landscape is also shaping the future of the fantasy sports market. Several countries are recognizing fantasy sports as a game of skill rather than chance, leading to favorable regulatory frameworks that encourage innovation and investment. This legal clarity has attracted significant venture capital and strategic partnerships, fostering the development of advanced platforms with enhanced security, transparency, and user trust. However, regulatory challenges persist in certain regions, necessitating ongoing dialogue between industry stakeholders and policymakers to ensure responsible growth and user protection.

From a regional perspective, North America continues to dominate the fantasy sports market, accounting for the largest share in 2024, followed by Asia Pacific and Europe. The North American market benefits from a mature sports culture, high digital literacy, and established leagues, while Asia Pacific is witnessing rapid growth due to its large, young population and increasing adoption of digital entertainment platforms. Europe is also emerging as a key market, driven by the popularity of football and cricket-based fantasy leagues. The Middle East & Africa and Latin America are gradually gaining traction, supported by improving internet infrastructure and rising interest in sports-based gaming.

Platform Analysis

The platform segment of the fantasy sports market is bifurcated into web-based and mobile-based platforms, each playing a pivotal role in shaping user engagement and market dynamics. Web-based platforms were the initial drivers of the fantasy sports industry, offering comprehensive interfaces and robust functionalities catering to desktop users. These platforms continue to attract a significant user base, particularly among older demographics and traditional fantasy sports enthusiasts who prefer detailed analytics, in-depth research tools, and multi-league management features. The web-based segment

There are millions of sports fans across the United States, from those religiously following an NFL team to avid tennis fans or those who watch every Formula One Grand Prix. During an April 2023 survey in the United States, 44 percent of male respondents stated that they were avid sports fans. Meanwhile, this figure was just 15 percent among female respondents.

National Football League fans in the U.S.

Football is a widely enjoyed sport in the United States, as is evident from the millions of fans who tune in to watch their favorite teams compete every Monday night. The sport enjoys a diverse viewer demographic, with more than two thirds of white, Hispanic, and Black participants in an online survey identifying as either an avid or casual fan of football in January 2023. The survey also investigated the level of interest in the NFL in the U.S. broken down by gender, with a significantly larger share of men identifying as avid fans of the sport than women.

Women’s professional sports fans in the U.S.

Women’s professional sports viewership in the U.S. has grown significantly in recent years, helped at least partially by tournament victories across a wide range of sporting categories. When asked about the reason behind their interest in women’s sport in the U.S., nearly a third of respondents highlighted international events such as the Olympics and the FIFA World Cup as primary motivators for their interest. Meanwhile, when asked about the role of advertisers in promoting the growth of women’s sport in the U.S., more than half of survey participants believed that media agencies had a responsibility to do so.