Online Sports Betting

A State-by-State Comparison

About this dataset

How 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

How to use the dataset

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.

Research Ideas

• Understand the prevalence of sports betting across the United States and to compare the revenue generated by sports betting across states
• Understand how the legal status of sports betting affects revenue generated
• Understand how the number of sports betting outlets affects revenue generated

Columns

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...

According 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.

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.

Yearly and monthly growth charts for sports betting in Pennsylvania , including handle, revenue, and growth metrics

According 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.

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. (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.

Yearly and monthly growth charts for sports betting in Tennessee , including handle, revenue, and growth metrics

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

Yearly and monthly growth charts for sports betting in Rhode Island , including handle, revenue, and growth metrics

According 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.

Yearly and monthly growth charts for sports betting in Colorado , including handle, revenue, and growth metrics

Yearly and monthly growth charts for sports betting in New York , including handle, revenue, and growth metrics

Yearly and monthly growth charts for sports betting in Ohio , including handle, revenue, and growth metrics

Yearly and monthly growth charts for sports betting in Mississippi , including handle, revenue, and growth metrics

In 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.

Snapshot img

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

The global sports betting data service market size was valued at USD 1.3 billion in 2025 and is projected to grow from USD 1.5 billion in 2026 to USD 3.1 billion by 2033, exhibiting a CAGR of 10.4% during the forecast period. The increasing popularity of sports betting and the growing demand for data-driven insights to make informed betting decisions are driving the growth of the market. Furthermore, the advancements in technology, such as artificial intelligence (AI) and machine learning (ML), are enabling the provision of more accurate and personalized data, which is further fueling the market growth. The market is segmented into various applications including sports media, sports teams, sponsor brands, and others. The sports media segment held the largest market share in 2025 and is expected to continue its dominance throughout the forecast period. This is attributed to the increasing demand for sports betting data by media companies to enhance their coverage and provide value-added services to their viewers. Other key segments include sports teams, which use data to analyze player performance and make strategic decisions, and sponsor brands, which use data to measure the effectiveness of their campaigns and optimize their marketing strategies. Geographically, North America accounted for the largest market share in 2025 and is projected to maintain its dominance during the forecast period. The region's high adoption of sports betting and the presence of major sports leagues are driving the growth of the market. Europe and Asia Pacific are other key regions with significant market potential due to the growing popularity of sports betting and the increasing investment in data analytics. Introduction The global sports betting data service market has witnessed a surge in demand as the legalization of sports betting expands across jurisdictions. These services provide valuable data and insights to sportsbooks, media companies, and other stakeholders to enhance their operations and engage audiences.

Yearly and monthly growth charts for sports betting in Massachusetts , including handle, revenue, and growth metrics

Yearly and monthly growth charts for sports betting in South Dakota , including handle, revenue, and growth metrics

Sports Betting Predictive Analysis Dataset

This comprehensive synthetic dataset contains 1,369 rows and 10 columns specifically designed for predictive modeling in sports betting analytics. The dataset provides a rich foundation for machine learning applications in the sports betting domain, featuring realistic match data across multiple sports with comprehensive betting odds, team information, and outcome predictions.

Dataset Overview Table

Key Applications

Machine Learning Use Cases

• Outcome Prediction Models: Train classification algorithms to predict match winners
• Odds Analysis: Analyze betting market efficiency and identify value bets
• Feature Engineering: Create derived features for advanced predictive models
• Model Validation: Compare predicted vs actual outcomes for performance metrics
• Risk Assessment: Evaluate betting strategy performance and risk management

Data Science Applications

• Exploratory Data Analysis: Understand patterns in sports betting markets
• Statistical Modeling: Build probabilistic models for outcome prediction
• Time Series Analysis: Analyze temporal trends in betting odds and outcomes
• Comparative Analysis: Study performance differences across sports and teams
• Visualization Projects: Create interactive dashboards for betting analytics

Research Applications

• Academic Research: Study sports betting market dynamics
• Algorithm Development: Test new machine learning approaches
• Benchmarking: Compare different predictive modeling techniques
• Educational Projects: Learn data science concepts with realistic data
• Portfolio Development: Demonstrate skills in sports analytics domain

Data Characteristics

Realistic Market Simulation

• Betting odds within industry-standard ranges (1.2 - 5.0)
• Sport-specific logic (draws only applicable for Football and Hockey)
• Strategic null value placement to simulate real-world data gaps
• Temporal consistency across 2-year historical period
• Unique match identifiers for easy reference and tracking

Comprehensive Coverage

• Multi-Sport Analysis: Five major sports for diverse modeling scenarios
• Balanced Distribution: Even representation across all sports categories
• Team Diversity: Unique city-based team names preventing data leakage
• Outcome Variety: Includes wins, losses, and draws where applicable
• Prediction Comparison: Both model predictions and actual results included