MEDIA & ENTERTAINMENT
Global Sports Betting Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Sports Betting Market, By Platform (Offline, and Online), Betting Type (Fixed Odds Wagering, Exchange Betting, In-Play Betting, eSports Betting, and Others), Sports Type (Racing and Non-Racing), Operator (Casinos, Bingo Halls, Card Rooms, Bookmakers, Coin Operated Gambling Device, Concession Operators, Video Gaming Terminals, Lotteries Operator, Off-Track Sports Betting, and Others), Age Group (Gen Z, Millennials, Gen X, and Baby Boomers), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global sports betting market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
The global sports betting market refers to the industry where individuals place wagers on the outcomes of sporting events. It encompasses a wide range of activities, from traditional betting at physical sportsbooks to online platforms offering a variety of betting options.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Growing popularity of worldwide sports
- Legalization of sports betting
RESTRAINTS
- Financial vulnerability arising from betting outcomes constrains sports betting business
- Increasing match-fixing concerns hampers the expansion of sports betting sector
OPPORTUNITIES
- Integration of sports betting with media enhances viewer experience
- Blockchain and cryptocurrency integration
CHALLENGES
- Operational compliance and fraud prevention
- Maintaining integrity and sports ethics
SEGMENTATION
- Platform
- Offline
- Online
- Betting Type
- Fixed Odds Wagering
- Exchange Betting
- In-Play Betting
- eSports Betting
- Others
- Sports Type
- Racing
- Non-Racing
- Operator
- Casinos
- Bingo Halls
- Card Rooms
- Bookmakers
- Coin Operated Gambling Device
- Concession Operators
- Video Gaming Terminals
- Lotteries Operator
- Off-Track Sports Betting
- Others
- Age Group
- Gen Z
- Millenials
- Gen x
- Baby Boomers
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- 888 Holdings Plc
- Betsson AB
- Las Vegas Sands Corporation
- Entain Plc
- Flutter Entertainment Plc
- Sportech Plc
- William Hill Plc
- FORTUNA ENTERTAINMENT GROUP
- Kindred Group Plc
- Galaxy Entertainment Group Limited
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Sports Betting Market, by Platform
- 3.2 Global Sports Betting Market, by Betting Type
- 3.3 Global Sports Betting Market, by Sports Type
- 3.4 Global Sports Betting Market, by Operator
- 3.5 Global Sports Betting Market, by Age Group
- 3.6 Global Sports Betting Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Rise in disposable income expands customer base for sports betting
- 5.1.2 Social and virtual sports betting
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Growing popularity of worldwide sports
- 5.2.2 Legalization of sports betting
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Financial vulnerability arising from betting outcomes constrains sports betting business
- 5.3.2 Increasing match-fixing concerns hampers the expansion of sports betting sector
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Integration of sports betting with media enhances viewer experience
- 5.4.2 Blockchain and cryptocurrency integration
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Operational compliance and fraud prevention
- 5.5.2 Maintaining integrity and sports ethics
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL SPORTS BETTING MARKET, BY PLATFORM
- 6.1 Platform Summary
- 6.2 Market Attractive Index
- 6.3 Global Sports Betting Market, by Platform (2019-2032)
- SECTION 7 - GLOBAL SPORTS BETTING MARKET, BY BETTING TYPE
- 7.1 Betting Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Sports Betting Market, by Betting Type (2019-2032)
- SECTION 8 - GLOBAL SPORTS BETTING MARKET, BY SPORTS TYPE
- 8.1 Sports Type Summary
- 8.2 Market Attractive Index
- 8.3 Global Sports Betting Market, by Sports Type (2019-2032)
- SECTION 9 - GLOBAL SPORTS BETTING MARKET, BY OPERATOR
- 9.1 Operator Summary
- 9.2 Market Attractive Index
- 9.3 Global Sports Betting Market, by Operator (2019-2032)
- SECTION 10 - GLOBAL SPORTS BETTING MARKET, BY AGE GROUP
- 10.1 Age Group Summary
- 10.2 Market Attractive Index
- 10.3 Global Sports Betting Market, by Age Group (2019-2032)
- SECTION 11 - GLOBAL SPORTS BETTING MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Sports Betting Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA SPORTS BETTING MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Sports Betting Market, by Platform (2019-2032)
- 12.4 North America Sports Betting Market, by Betting Type (2019-2032)
- 12.5 North America Sports Betting Market, by Sports Type (2019-2032)
- 12.6 North America Sports Betting Market, by Operator (2019-2032)
- 12.7 North America Sports Betting Market, by Age Group (2019-2032)
- 12.8 North America Sports Betting Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE SPORTS BETTING MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Sports Betting Market, by Platform (2019-2032)
- 13.4 Europe Sports Betting Market, by Betting Type (2019-2032)
- 13.5 Europe Sports Betting Market, by Sports Type (2019-2032)
- 13.6 Europe Sports Betting Market, by Operator (2019-2032)
- 13.7 Europe Sports Betting Market, by Age Group (2019-2032)
- 13.8 Europe Sports Betting Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC SPORTS BETTING MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Sports Betting Market, by Platform (2019-2032)
- 14.4 Asia-Pacific Sports Betting Market, by Betting Type (2019-2032)
- 14.5 Asia-Pacific Sports Betting Market, by Sports Type (2019-2032)
- 14.6 Asia-Pacific Sports Betting Market, by Operator (2019-2032)
- 14.7 Asia-Pacific Sports Betting Market, by Age Group (2019-2032)
- 14.8 Asia-Pacific Sports Betting Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA SPORTS BETTING MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Sports Betting Market, by Platform (2019-2032)
- 15.4 South America Sports Betting Market, by Betting Type (2019-2032)
- 15.5 South America Sports Betting Market, by Sports Type (2019-2032)
- 15.6 South America Sports Betting Market, by Operator (2019-2032)
- 15.7 South America Sports Betting Market, by Age Group (2019-2032)
- 15.8 South America Sports Betting Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA SPORTS BETTING MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Sports Betting Market, by Platform (2019-2032)
- 16.4 Middle East and Africa Sports Betting Market, by Betting Type (2019-2032)
- 16.5 Middle East and Africa Sports Betting Market, by Sports Type (2019-2032)
- 16.6 Middle East and Africa Sports Betting Market, by Operator (2019-2032)
- 16.7 Middle East and Africa Sports Betting Market, by Age Group (2019-2032)
- 16.8 Middle East and Africa Sports Betting Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Sports Betting Market, Company Share Analysis
- 17.2 North America Sports Betting Market, Company Share Analysis
- 17.3 Europe Sports Betting Market, Company Share Analysis
- 17.4 Asia-Pacific Sports Betting Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 888 Group
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 Betsson AB
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 Las Vegas Sands Corporation
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Entain
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 Flutter Entertainment plc
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Sportech PLC
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 William Hill Plc
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Fortuna Entertainment Group
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Kindred Group plc
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 Galaxy Entertainment Group Limited
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.