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TwitterHow prevalent is sports betting across the United States? This dataset provides information on the legal status of sports betting, revenue generated by sports betting, the number of sports betting outlets, and more. Use this dataset to compare the revenue generated by sports betting across different states
This dataset can be used to understand the prevalence of sports betting across the United States and to compare the revenue generated by sports betting across states.
File: New Jersey.csv | Column name | Description | |:------------------|:--------------------------------------------------------------| | date | The date of the data. (Date) | | New Jersey | The amount of money bet on sports in New Jersey. (Numeric) | | Pennsylvania | The amount of money bet on sports in Pennsylvania. (Numeric) | | Delaware | The amount of money bet on sports in Delaware. (Numeric) | | Mississippi | The amount of money bet on sports in Mississippi. (Numeric) | | Nevada | The amount of money bet on sports in Nevada. (Numeric) | | Rhode Island | The amount of money bet on sports in Rhode Island. (Numeric) | | West Virginia | The amount of money bet on sports in West Virginia. (Numeric) | | Arkansas | The amount of money bet on sports in Arkansas. (Numeric) | | New York | The amount of money bet on sports in New York. (Numeric) | | Iowa | The amount of money bet on sports in Iowa. (Numeric) | | Indiana | The amount of money bet on sports in Indiana. (Numeric) | | Oregon | The amount of money bet on sports in Oregon. (Numeric) | | New Hampshire | The amount of money bet on sports in New Hampshire. (Numeric) | | Michigan | The amount of money bet on sports in Michigan. (Numeric) | | Montana | The amount of money bet on sports in Montana. (Numeric) | | Colorado | The amount of money bet on sports in Colorado. (Numeric) | | Washington DC | The amount of money bet on sports in Washington DC. (Numeric) | | Illinois | The amount of money bet on sports in Illinois. (Numeric) | | Tennessee | The amount of money bet on sports in Tennessee. (Numeric) |
File: PopulationStates.csv | Column name | Description | |:--------------|:----------------------------------------------------| | State | The state in which the data was collected. (String) |
File: homeless.csv | Column name | Description | |:----------------|:----------------------------------------------------| | year | The year the data was collected. (Integer) | | unsheltered | The number of people who are unsheltered. (Integer) |
File: income.csv | Column name | Description | |:------------------|:--------------------------------------------------------------| | Pennsylvania | The amount of money bet on sports in Pennsylvania. (Numeric) | | Delaware | The amount of money bet on sports in Delaware. (Numeric) | | Mississippi | The amount of money bet on sports in Mississippi. (Numeric) | | Nevada | The amount of money bet on sports in Nevada. (Numeric) | | Rhode Island | The amount of money bet on sports in Rhode Island. (Numeric) | | West Virginia | The amount of money bet on sports in West Virginia. (Numeric) | | Arkansas | The amount of money bet on sports in Arkansas. (Numeric) | | New York | The amount of money bet on sports in New York. (Numeric) | | Iowa | The amount of money bet on sports in Iowa. (Numeric) | | Indiana | The amount of money bet on sports in Indiana. (Numeric) | | New Hampshire | The amount of money bet on sports in New Hampshire. (Numeric) | | Michigan | The amount of money bet on sports in Michigan. (Numeric) | | Colorado | The amount of money bet on sports in Colorado. (Numeric) | | Washington DC | The amount of money bet on sports in Washington DC. (Numeric) | | Illinois | The amount of money bet on sports in Illinois. (Nume...
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TwitterAccording to a January 2025 survey conducted among adults in the United States, ***percent of male respondents said they had an online sports betting account. Meanwhile, the figure for women stood at ** percent. Sports betting has been allowed in certain states in the U.S. since the federal ban was lifted by the Supreme Court in May 2018.
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TwitterNotes: (1) Monthly payments are due to the State by the 15th of the following month. (2) The operation of the online sports wagering began on October 12, 2021. (3) Monthly resettlements are wagers where the original settled wager result is modified due to an error or change in result of the underlying event. (4) Federal Excise Tax is 0.25% of Net Wagers. (5) This amount shall only include coupons and credits issued for use for gaming in the state and redeemed in the State of Connecticut. (6) Per Public Act 21-23, from October 2021 – September 2022 the promotional deduction is limited to the lesser of 25% of sports wagering Win/Loss, or actual promotional coupons or credits wagered. From October 2022 – September 2023 this limit drops to 20%, and to 15% thereafter.. (7) Payment rate is 13.75% of Gross Gaming Revenue. Monthly payment is the greater of the calculated payment or $0 (if calculated payment is negative). (8) In May 2022, MPI Master Wagering License CT, LLC reclassified $2.6M of certain bets from October 2021 - March 2022 originally reported as resettlements, as winnings. This had no impact on Gross Gaming Revenue or payments to the state because winnings and resettlements are treated the same in the GGR calculation. Corrected amounts are reported above. (9) In May 2022, MPI Master Wagering License CT, LLC revised its October 2021 filing to reflect patron winnings that were cashed after the close of operations during the limited hours of Soft Launch. This adjustment reduced the payment due to the State of Connecticut by $31,669; taken as a credit against the May 2022 payment due. (10) In July 2024, Mohegan Digital, LLC's online gaming operator identified and reported data latency issues that caused errors in the May 2024 payment calculations submitted to the State of Connecticut. Mohegan Digital, LLC amended their May 2024 return, which resulted in an increase of $15,952 in both Wagers and Cancelled Wagers, an Increase of $5,375 in Patron Winnings, and a decrease of $5,375 in Monthly Resettlements. Amended figures are shown above.
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TwitterYearly and monthly growth charts for sports betting in Pennsylvania , including handle, revenue, and growth metrics
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TwitterAccording to a 2025 survey, the age group with the largest share of individuals with an online sports betting acount in the United States was ********-years-old. In total, ** percent of U.S. adults belonging to this demographic had an account with an online sportsbook.
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TwitterThe market size of the global sports betting industry stood at *** billion U.S. dollars as of March 2025. Within this industry, there were over ******* employees in a total of nearly ****** businesses. Many countries participate in legal sports betting, one of the more recent being the United States. Despite being a relative newcomer, the revenue of the sports betting industry in the U.S. stood at over ** billion U.S. dollars in 2023.
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TwitterYearly and monthly growth charts for sports betting in Tennessee , including handle, revenue, and growth metrics
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TwitterYearly and monthly growth charts for sports betting in Rhode Island , including handle, revenue, and growth metrics
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TwitterYearly and monthly growth charts for sports betting in New York , including handle, revenue, and growth metrics
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This dataset contains simulated sports betting data representing 100,000 bets placed by 5,000 users across a variety of sports. It was created trying to reproduce realistic betting behavior, including betting amounts, sports distributions, win/loss outcomes, and user-specific statistics.
Each user could fall into a betting profile based on their behaviour.
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TwitterYearly and monthly growth charts for sports betting in Colorado , including handle, revenue, and growth metrics
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TwitterYearly and monthly growth charts for sports betting in Mississippi , including handle, revenue, and growth metrics
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TwitterIn July 2023, a survey was conducted to determine the share of sports bettors in the United States that place bets online vs. in person. The majority of respondents, almost **********, stated that they preferred to place bets online or via mobile. Comparatively, **** percent of survey participants said that they liked placing bets in-person.
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TwitterIn 2024, ** percent of sports betting handle in Asia came from bets on soccer. This was a higher share than any other continent. On the other end of the scale, soccer bets only made up only *** percent of the sports betting handle in North America.
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TwitterAccording to a survey conducted in January 2025, Latinos were the most likely ethnic group to have engaged in betting on sports events in the United States. Specifically, ** percent of Latinos had participated in sports betting at least once in their lives.
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In 2023, Sports Betting Market reached a value of USD 113.54 billion, and it is projected to surge to USD 223.66 billion by 2030
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TwitterWhen surveyed between July 2024 and October 2024, it was found that **** percent of adults in Great Britain had participated in online sports betting. In comparison, **** percent had bet on sports in person.
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Sports Betting Market Size 2025-2029
The sports betting market size is valued to increase by USD 221.1 billion, at a CAGR of 12.6% from 2024 to 2029. Digital revolution will drive the sports betting market.
Major Market Trends & Insights
APAC dominated the market and accounted for a 33% growth during the forecast period.
By Platform - Online segment was valued at USD 101.20 billion in 2023
By Type - Basketball segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 162.64 billion
Market Future Opportunities: USD 221.10 billion
CAGR from 2024 to 2029 : 12.6%
Market Summary
The market is a dynamic and complex industry, fueled by the intersection of technology and human passion for sports. With an estimated global value of USD155 billion in 2020, this market's growth is driven by the increasing popularity of online betting platforms and the integration of advanced technologies like machine learning. These innovations enable personalized user experiences, real-time data analysis, and more accurate odds calculation. However, the industry faces significant challenges, including stringent government regulations and restrictions. For instance, in some regions, sports betting remains illegal or heavily regulated, limiting market growth potential. Additionally, concerns over problem gambling and match-fixing continue to shape the regulatory landscape.
Despite these hurdles, the future of sports betting looks promising. Technological advancements, such as blockchain and virtual reality, are poised to revolutionize the industry further. As these developments unfold, businesses must adapt and innovate to stay competitive in this rapidly evolving market.
What will be the Size of the Sports Betting Market during the forecast period?
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How is the Sports Betting Market Segmented ?
The sports betting industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Platform
Online
Offline
Type
Basketball
Horse riding
Football
Others
Betting Type
Fixed Odds Wagering
Exchange Betting
Live/In-Play Betting
eSports Betting
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
APAC
Australia
China
India
Japan
Rest of World (ROW)
By Platform Insights
The online segment is estimated to witness significant growth during the forecast period.
The market is in a constant state of evolution, fueled by technological advancements and regulatory changes. The online betting segment, in particular, is thriving, driven by factors such as the expansion of the overall market, the increasing availability of mobile platforms due to Internet and smartphone penetration, and the structural migration of customers from retail to online betting in emerging markets. Technological innovations include advanced responsible gambling tools, payment gateway integration, customer support ticketing, win probability models, AML compliance software, data visualization tools, and bonus claim processes. Regulatory compliance checks, in-play betting data, sports data providers, geofencing technology, KYC compliance protocols, account management features, transaction processing speed, withdrawal processing times, real-time data feeds, betting exchange liquidity, deposit method integrations, user engagement metrics, customer identity verification, live streaming integration, mobile betting platforms, data analytics dashboards, risk management models, CRM system integration, betting platform security, fraud detection systems, user experience design, player segmentation strategies, and more.
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The Online segment was valued at USD 101.20 billion in 2019 and showed a gradual increase during the forecast period.
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Regional Analysis
APAC is estimated to contribute 33% 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.
See How Sports Betting Market Demand is Rising in APAC Request Free Sample
The Asia-Pacific (APAC) region is poised to lead The market due to its rapid expansion and significant population base. Comprising over 60% of the world's population, APAC is a burgeoning market with an increasing number of digital platforms and the adoption of online betting. Key factors contributing to this growth include the presence of gambling hubs like Macau and the rising disposable income of the population.
APAC's dominance in the global sports betting landscape is further reinforced
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This dataset offers a comprehensive and dynamic overview of the evolving landscape of online sports betting within the state.
Notes: (1) Monthly payments are due to the State by the 15th of the following month. (2) The operation of the online sports wagering began on October 12, 2021. (3) Monthly resettlements are wagers where the original settled wager result is modified due to an error or change in result of the underlying event. (4) Federal Excise Tax is 0.25% of Net Wagers. (5) This amount shall only include coupons and credits issued for use for gaming in the state and redeemed in the State of Connecticut. (6) Per Public Act 21-23, from October 2021 – September 2022 the promotional deduction is limited to the lesser of 25% of sports wagering Win/Loss, or actual promotional coupons or credits wagered. From October 2022 – September 2023 this limit drops to 20%, and to 15% thereafter.. (7) Payment rate is 13.75% of Gross Gaming Revenue. Monthly payment is the greater of the calculated payment or $0 (if calculated payment is negative). (8) In May 2022, MPI Master Wagering License CT, LLC reclassified $2.6M of certain bets from October 2021 - March 2022 originally reported as resettlements, as winnings. This had no impact on Gross Gaming Revenue or payments to the state because winnings and resettlements are treated the same in the GGR calculation. Corrected amounts are reported above. (9) In May 2022, MPI Master Wagering License CT, LLC revised its October 2021 filing to reflect patron winnings that were cashed after the close of operations during the limited hours of Soft Launch. This adjustment reduced the payment due to the State of Connecticut by $31,669; taken as a credit against the May 2022 payment due.
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According to our latest research, the global sports betting data feeds market size stood at USD 1.35 billion in 2024, reflecting robust industry momentum and significant technological advancements. The market is poised to expand at a CAGR of 10.7% from 2025 to 2033, reaching a forecasted value of USD 3.13 billion by 2033. This impressive growth trajectory is primarily driven by the increasing legalization of sports betting across various jurisdictions, the proliferation of digital betting platforms, and the rising demand for real-time, accurate, and comprehensive sports data feeds among bookmakers and operators worldwide.
The primary growth driver for the sports betting data feeds market is the rapid expansion of online sports betting, fueled by widespread internet penetration and the proliferation of smartphones. As more countries move towards legalizing and regulating sports betting, the need for reliable, real-time data has become paramount for both operators and bettors. This surge in digital engagement is compelling bookmakers and betting operators to invest heavily in advanced data feed solutions that deliver pre-match, in-play, and historical data, thereby enhancing user engagement and optimizing betting outcomes. Furthermore, the integration of artificial intelligence and machine learning into data feed platforms is enabling more precise odds-making and fraud detection, further bolstering market growth.
Another significant growth factor is the increasing collaboration between sports leagues, federations, and data feed providers. Sports organizations are recognizing the value of monetizing their data assets and partnering with technology firms to distribute official and exclusive data feeds. These alliances not only ensure the authenticity and integrity of data but also open new revenue streams for sports bodies. Additionally, as consumer expectations for immersive and interactive betting experiences rise, data feed providers are innovating with enriched content such as live statistics, player tracking, and video feeds, which are rapidly becoming standard offerings in the competitive landscape.
The globalization of sports betting is also contributing to the upward trajectory of the sports betting data feeds market. Emerging markets in Asia Pacific, Latin America, and Africa are witnessing a surge in sports betting activities, driven by favorable regulatory shifts and the growing popularity of international sports. This global expansion is compelling data feed providers to diversify their offerings, support multiple sports and languages, and ensure scalability and compliance across jurisdictions. As a result, the market is experiencing an influx of new entrants and increased investments, further intensifying competition and accelerating innovation in data delivery and analytics.
From a regional perspective, Europe continues to dominate the sports betting data feeds market, accounting for the largest revenue share in 2024, closely followed by North America. The mature regulatory environment, high consumer adoption, and presence of leading sports data providers have positioned these regions at the forefront of industry innovation. Meanwhile, Asia Pacific is emerging as the fastest-growing region, with a projected CAGR exceeding 12% through 2033, driven by the rapid legalization of sports betting and the increasing popularity of esports and mobile gaming. Latin America and the Middle East & Africa are also witnessing steady growth, supported by evolving regulatory frameworks and increased investments in digital infrastructure.
The sports betting data feeds market is segmented by component into software and services, each playing a pivotal role in shaping the industry’s ecosystem. Software solutions form the backbone of data feeds, providing the infrastructure necessary for the aggregation, processing, and dissemination of sports data. These platforms are designed to handle vast volumes of real-time information, in
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TwitterHow prevalent is sports betting across the United States? This dataset provides information on the legal status of sports betting, revenue generated by sports betting, the number of sports betting outlets, and more. Use this dataset to compare the revenue generated by sports betting across different states
This dataset can be used to understand the prevalence of sports betting across the United States and to compare the revenue generated by sports betting across states.
File: New Jersey.csv | Column name | Description | |:------------------|:--------------------------------------------------------------| | date | The date of the data. (Date) | | New Jersey | The amount of money bet on sports in New Jersey. (Numeric) | | Pennsylvania | The amount of money bet on sports in Pennsylvania. (Numeric) | | Delaware | The amount of money bet on sports in Delaware. (Numeric) | | Mississippi | The amount of money bet on sports in Mississippi. (Numeric) | | Nevada | The amount of money bet on sports in Nevada. (Numeric) | | Rhode Island | The amount of money bet on sports in Rhode Island. (Numeric) | | West Virginia | The amount of money bet on sports in West Virginia. (Numeric) | | Arkansas | The amount of money bet on sports in Arkansas. (Numeric) | | New York | The amount of money bet on sports in New York. (Numeric) | | Iowa | The amount of money bet on sports in Iowa. (Numeric) | | Indiana | The amount of money bet on sports in Indiana. (Numeric) | | Oregon | The amount of money bet on sports in Oregon. (Numeric) | | New Hampshire | The amount of money bet on sports in New Hampshire. (Numeric) | | Michigan | The amount of money bet on sports in Michigan. (Numeric) | | Montana | The amount of money bet on sports in Montana. (Numeric) | | Colorado | The amount of money bet on sports in Colorado. (Numeric) | | Washington DC | The amount of money bet on sports in Washington DC. (Numeric) | | Illinois | The amount of money bet on sports in Illinois. (Numeric) | | Tennessee | The amount of money bet on sports in Tennessee. (Numeric) |
File: PopulationStates.csv | Column name | Description | |:--------------|:----------------------------------------------------| | State | The state in which the data was collected. (String) |
File: homeless.csv | Column name | Description | |:----------------|:----------------------------------------------------| | year | The year the data was collected. (Integer) | | unsheltered | The number of people who are unsheltered. (Integer) |
File: income.csv | Column name | Description | |:------------------|:--------------------------------------------------------------| | Pennsylvania | The amount of money bet on sports in Pennsylvania. (Numeric) | | Delaware | The amount of money bet on sports in Delaware. (Numeric) | | Mississippi | The amount of money bet on sports in Mississippi. (Numeric) | | Nevada | The amount of money bet on sports in Nevada. (Numeric) | | Rhode Island | The amount of money bet on sports in Rhode Island. (Numeric) | | West Virginia | The amount of money bet on sports in West Virginia. (Numeric) | | Arkansas | The amount of money bet on sports in Arkansas. (Numeric) | | New York | The amount of money bet on sports in New York. (Numeric) | | Iowa | The amount of money bet on sports in Iowa. (Numeric) | | Indiana | The amount of money bet on sports in Indiana. (Numeric) | | New Hampshire | The amount of money bet on sports in New Hampshire. (Numeric) | | Michigan | The amount of money bet on sports in Michigan. (Numeric) | | Colorado | The amount of money bet on sports in Colorado. (Numeric) | | Washington DC | The amount of money bet on sports in Washington DC. (Numeric) | | Illinois | The amount of money bet on sports in Illinois. (Nume...