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Global Gambling Market Opportunities and Strategies Report 2022-2030: Shift In Interests Towards Online And Physical Sportsbook Betting
The “Gambling Global Market Opportunities And Strategies To 2030, By Type, Channel Type” report has been added to ResearchAndMarkets’ offering.
The global gambling market reached a value of nearly $465,763.9 million in 2020, having increased at a compound annual growth rate (CAGR) of 2.1% since 2015. The market is expected to grow from $465,763.9 million in 2020 to $674,703.9 million in 2025 at a CAGR of 7.7%. The market is expected to grow from $674,703.9 million in 2025 to $895,720.3 million in 2030 at a CAGR of 5.8%.
The gambling market consists of sales of gambling services and related goods by entities (organizations, sole traders and partnerships) that operate gambling facilities, such as casinos, bingo halls, video gaming terminals, lotteries, and off-track sports betting. Gambling is the act of wagering money or something of value on an event with an uncertain outcome that is not under gambler control, with an intent of winning money.
Growth in the historic period resulted from growth of the experience economy, favorable visa policies and new initiatives, emerging markets growth, growth in female gamblers, rapid urbanization, legalization of gambling and rise in mobile gambling.
Going forward, legalization of gambling, changing consumer gambling habits and use of social media are expected to drive the market. Stringent government regulations on gambling, demographic changes and problem gambling are major factors that could hinder the growth of the gambling market in the future.
The gambling market is segmented by type into casino, lotteries, sports betting and others. The lotteries market was the largest segment of the gambling market by type, accounting for 52.5% of the total market in 2020. Going forward, sports betting segment is expected to be the fastest growing segment in the gambling market, at a CAGR of 8.4%.
The gambling market is also segmented by channel type into offline, online and virtual reality (VR). The offline market was the largest segment of the gambling market by channel type, accounting for 88.0% of the total market in 2020. Going forward, the virtual reality (VR) segment is expected to be the fastest growing segment in the gambling market, at a CAGR of 17.7%.
Asia Pacific was the largest region in the global gambling market, accounting for 38.2% of the total in 2020. It was followed by North America, Western Europe and then the other regions. Going forward, the fastest-growing regions in the gambling market will be Middle East and Eastern Europe, where growth will be at CAGRs of 12.0% and 10.8% respectively. These will be followed by Africa and South America, where the markets are expected to register CAGRs of 10.1% and 9.9% respectively.
The gambling market is relatively fragmented, with a large number of players. The top ten competitors in the market made up to 20.10% of the total market in 2020. This can be due to the existence of number of local players in the market serving customers in particular geographies.
China Welfare Lottery was the largest competitor with 10.85% of the market, followed by The Hong Kong Jockey Club with 6.01%, MGM Resorts International with 0.62%, Crown resorts with 0.51%, Caesars Entertainment Corporation with 0.50%, Las Vegas Sands Corporation with 0.49%, Melco International Development Ltd. with 0.31%, Genting Group with 0.30%, Wynn Resorts Ltd. with 0.27%, and Galaxy Entertainment Group Limited with 0.23%.
The top opportunities in the gambling market segmented by type will arise in the lotteries segment, which will gain $113,324.9 million of global annual sales by 2025. The top opportunities in the gambling market segmented by channel type will arise in the offline segment, which will gain $155,521.3 million of global annual sales by 2025. The gambling market size will gain the most in China at $29,826.3 million.
Market-trend-based strategies for the gambling market includes investing in gambling games that use AR and VR technology, adopt advanced technologies to introduce live casinos, introduce hybrid games to drive engagement, adopt advanced security measures to prevent fraud, adopt cryptocurrencies to improve transparency in transactions, provide large-format slot machines, integrate robots with artificial intelligence, invest in providing mobile gambling services, offering offshore betting services, employ big data analytics, invest in branded slot games and gambling services through smart watch applications.
Key Topics Covered:
1. Gambling Market Executive Summary
2. Table of Contents
3. List of Figures
4. List of Tables
5. Report Structure
6. Introduction
6.1. Segmentation By Geography
6.2. Segmentation By Type
6.3. Segmentation By Channel Type
7. Gambling Market Characteristics
7.1. Market Definition
7.2. Segmentation By Type
7.2.1. Casino
7.2.2. Lotteries
7.2.3. Sports Betting
7.2.4. Others
7.3. Segmentation By Channel Type
7.3.1. Offline Gambling
7.3.2. Online Gambling
7.3.3. Virtual Reality (VR) Gambling
8. Gambling Market, Supply Chain Analysis
8.1.1. Resources
8.1.2. Gambling Services Providers
8.1.3. Other Service Providers
8.1.4. End Users
9. Gambling Market, Product/Service Analysis – Product/Service Examples
10. Gambling Market Customer Information
10.1. Shift In Interests Towards Online And Physical Sportsbook Betting
10.2. Gamblers Will Return To Casinos Post COVID-19
10.3. Online Gambling Is the Most Popular Gambling Behavior
10.4. Mobile Devices Have Become the Most Popular Gambling Medium
10.5. Betting Over Legal Sportsbooks Is The Most Popular Gambling Behavior
10.6. Casinos Are Considering Adopting Skill-Based Games To Attract New Gamers
10.7. Most Social Gamblers Have Not Faced Issues From Their Gambling Activity
10.8. Australians Are Concerned About Over Exposure To Gambling Advertisements
10.9. The National Lottery Draws Are The Most Popular Gambling Activity
10.10. Rise In Gambling Activity Among Singapore Residents
10.11. Americans Believe That Sports Gambling Is Moral, But Illegal
10.12. Increased Funding For Problem Gambling Services In The United States
11. Gambling Market Trends And Strategies
11.1. Adoption Of Augmented and Virtual Reality In Casinos
11.2. Increase In Gambling Legislations
11.3. Live Casinos
11.4. Hybrid Games
11.5. Security In Online Gambling
11.6. Cryptocurrency In Gambling
11.7. Large-Format Slot Machines
11.8. Sports Betting Bots
11.9. Mobile Gambling
11.10. Online Casinos
11.11. Offshore Sports Betting
11.12. Big Data Analytics in Sports Betting
11.13. Branded Slots
11.14. Slots On Smart Watches
12. Gambling Market Opportunity Assessment, PESTEL Analysis
12.1. Political
12.1.1. Favorable Tourism Policies
12.1.2. Political Changes
12.1.3. Government Policies
12.1.4. Tax Laws
12.2. Economic
12.2.1. Disposable Incomes
12.2.2. Interest Rates
12.3. Social
12.3.1. Changing Demographics
12.4. Technological
12.4.1. Technological Advances
12.5. Environmental
12.5.1. Extreme Weather Conditions
12.6. Legal
12.6.1. Legality Of Gambling
13. Gambling Market Regulatory Landscape
14. Emergence of Augmented Reality and Virtual Reality in Gambling
14.1. Augmented Reality (AR)
14.2. Virtual Reality (VR)
15. Illegal Gambling Market
16. Gambling Competitions
16.1. World Series Of Poker
16.2. DraftKings Championship Series
16.3. World Casino Championship
17. Impact Of COVID-19 On The Gambling Market
17.1. Introduction
17.2. Closure of Land Casinos
17.3. Shift Towards Online Gambling
17.4. Impact On Companies
17.5. Future Outlook
Companies Mentioned
- China Welfare Lottery
- The Hong Kong Jockey Club
- MGM Resorts International
- Crown Resorts
- Caesars Entertainment Corporation
- Las Vegas Sands Corporation
- Melco International Development Ltd.
- Genting Group
- Wynn Resorts Ltd.
- Galaxy Entertainment Group Limited
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Canada
XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE
Global Video Game Commerce Company To Support Industry Growth Through Panels, Workshops, And Community Engagement Across Atlantic Canada
Xsolla, a leading global video game commerce company, today announced its participation in two major gaming industry events taking place across Atlantic Canada from June 3-5, 2026, reinforcing the company’s commitment to supporting regional game development ecosystems and fostering industry collaboration.
Xsolla will participate in both Game Invest East and XP Game Connect Atlantic, joining developers, publishers, investors, and industry leaders for discussions centered on the future of game development, investment, and innovation in the local area.
At Game Invest East, held in partnership with Scaffold, Xsolla will contribute to conversations around funding, growth opportunities, and the evolving business landscape for game studios.
Featured on the panel titled “If You Can Make It Here,” Xsolla’s Manny Hachey, Senior Director of Developer Success, joins Kate Edwards, CEO and Principal Consultant of Geogrify, and Amir Satvat, Business Development Director at Tencent Games, founder of Always Supporting the Games Community (ASGC), and a 2026 GamesBeat Visionary Award honoree, to explore how new regions and new entrants can survive and thrive in disruptive times.
Hachey, a native of Atlantic Canada, was personally requested by Scaffold to represent Xsolla at the event — a homecoming that adds a personal dimension to the panel’s central thesis. Having built her career and made her mark in Germany’s games industry, she returns with a firsthand perspective on what it takes to leave, build something meaningful abroad, and come back with proof of concept.
Xsolla will continue its Atlantic Canada engagement at XP Game Connect Atlantic in Halifax on June 5. John Nguyen, Regional Vice President, Canada at Xsolla, and Ted DiNola, Developer Evangelist at Xsolla, will host a workshop titled ‘Full Picture to Fast Lane: Xsolla Ecosystem Overview & Live SDK 3 Integration’, providing practical insights and actionable strategies for developers navigating today’s rapidly evolving gaming market.
Nguyen will also host a panel titled, ‘What Does the Future of Game Development Look Like in Atlantic Canada?’ where he will be joined by industry experts, including Ryan Filsinger from Iron Fox; Shawn Woods, CEO at Alpha Dog and VP of Interactive Society of Nova Scotia; George Greer, Founder of Besszong; and Jade Yhap, President of Interactive NB. The panel will explore the region’s growing role in the global games industry and the opportunities ahead for studios, talent, and ecosystem partners.
“Atlantic Canada continues to emerge as an exciting hub for game development talent and innovation,” said John Nguyen, Regional Vice President, Canada, at Xsolla. “Xsolla is proud to support these events and contribute to conversations that help empower developers, build ecosystems, strengthen industry connections, and accelerate growth across the region.”
“Events like Game Invest East and XP Game Connect Atlantic are critical for building stronger connections across the games industry,” said Berkley Egenes, Chief Marketing & Growth Officer at Xsolla. “Atlantic Canada has a growing community of talented developers, creators, and industry leaders, and we’re excited to be part of conversations that help to shape the future of gaming in the region while supporting studios at every stage of growth.”
Through its participation in these events, Xsolla aims to deepen relationships within the Atlantic Canadian game development community while supporting knowledge-sharing, collaboration, and long-term ecosystem growth.
For more information about Xsolla’s participation in these events across Atlantic Canada, visit: xsolla.pro/Atlantic-Canada
The post XSOLLA STRENGTHENS COMMITMENT TO ATLANTIC CANADA’S GROWING GAME INDUSTRY WITH EXPANDED EVENT PRESENCE appeared first on Americas iGaming & Sports Betting News.
ai-tools
SEON adds MCP server and new AI tools for fraud and AML teams Subheadline
Updates include Network Detection, AI Chart Builder and an AI Playbook, with integrations for third-party AI tools via the MCP standard.
SEON has rolled out new AI capabilities for its fraud prevention and AML compliance platform, including a Model Context Protocol (MCP) server designed to connect SEON data to external AI tools. The company said the MCP server, Network Detection, AI Chart Builder and an AI Playbook for Risk and Compliance Teams are available now to SEON customers.
The MCP server is positioned as a way for analysts to use third-party AI tools while pulling investigation context from SEON. SEON said analysts can connect tools including Claude, ChatGPT, Gemini and Microsoft Copilot to “900+ real-time risk signals spanning identity, device, behavioral, AML and IP data,” with signals accessible “in a single call” via the open MCP standard.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
SEON also introduced Network Detection and AI Chart Builder inside its platform. Network Detection builds on SEON’s network analysis features released last year, and “continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses” to surface suspicious clusters. AI Chart Builder generates data visualizations from natural-language questions using live SEON data, targeting reporting and dashboarding needs typically handled through BI teams or spreadsheet exports.
Customer TurboTenant said it is already using the MCP approach in production workflows. “The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
To support adoption, SEON said it is shipping an AI Playbook for Risk and Compliance Teams alongside the releases, including “pre-built agentic skills” such as a fraud analyst daily briefing and a decline spot-check, compatible with the MCP server. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going,” said Mostafa Hassanin, CISO, SMG Marketplace.
The post SEON adds MCP server and new AI tools for fraud and AML teams Subheadline appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Artificial intelligence
SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool
New MCP server, Network Detection, AI Chart Builder and AI Playbook give fraud and AML teams more ways to put AI to work
SEON, the AI Command Center for Fraud Prevention and AML Compliance, has built a platform where flexibility is an accent of its architecture. With SEON, customers can ingest any custom field or data type, build any rule or alert they need, and investigate in system driven workflows that represent the way their team operates. Most importantly, they can choose a rules-based policy, one driven by AI or a hybrid decisioning model that leverages both. SEON has the capabilities to meet teams how and where they actually operate.
Today, the company extends that same flexibility to the use of AI in the fight against fraud and financial crimes. A Model Context Protocol (MCP) server opens SEON’s data layer to whichever AI tool a team prefers. Two additional capabilities, Network Detection and AI Chart Builder, connect SEON’s existing capabilities in automation and business intelligence. To support adoption, an AI Playbook for Risk and Compliance Teams ships alongside them, giving customers a practical starting point for putting their MCP connection to work quickly.
Access to AI Has Outpaced Access to Risk Data
For most fraud and AML teams, AI is accessible but still hard to put to real work. Analysts have ChatGPT, Claude or Gemini at their fingertips. What they don’t have is a clean way to get their investigation data into those environments. Instead, they manually paste in transaction records, customer profiles and risk signals, losing context at every step and creating security risks for their organization. According to the 2026 Fraud and AML Leaders Report, 98% of fraud and AML leaders are already using AI in their workflows. The tools are there. The data pipeline is not.
An Open Foundation for Any AI Tool
SEON’s MCP server addresses that gap. Analysts can link Claude, ChatGPT, Gemini, Microsoft Copilot or any custom agent to SEON’s 900+ real-time risk signals spanning identity, device, behavioral, AML and IP data. All signals are accessible in a single call, so the AI spends its token budget and processing time on analysis rather than pulling data from multiple systems. Because the integration uses the open MCP standard, customers are free to use whatever works best today and switch to a stronger option tomorrow without rebuilding anything.
“The software world is moving toward a headless model, where teams don’t need to live inside a vendor’s dashboard to get full control over data and functionality,” said Tamas Kadar, CEO and Co-Founder, SEON. “Our job is to be the best command center for fraud, risk and compliance intelligence. We’re giving analysts the freedom to use whichever AI tools work best for them.”
“The SEON MCP integration has fundamentally changed how our risk analysts operate,” said Eric Taylor, Manager of Trust and Safety, TurboTenant. “Before, they had to manually pull data across multiple systems to piece together what happened. Now, we pull a user’s entire platform journey and all of SEON’s risk signal context directly into Claude, and AI connects the dots on complex fraud patterns without us doing that assembly. It’s opened up OSINT capabilities that wouldn’t have been possible before.”
Meeting Teams Where They Are
Some customers are ready to run their entire risk operation through an agentic platform. Others want AI working inside the SEON interface they already use. Most are somewhere in between. SEON supports all team preferences, whether they work inside the platform or outside it.
Network Detection builds on the network analysis SEON released last year, including Similarity ranking and the Network graph. It continuously scans the last two months of transactions across devices, emails, phone numbers and IP addresses to identify clusters that are only suspicious when viewed together. Coordinated fraud rings and money laundering networks now surface before an analyst opens an alert.
AI Chart Builder turns natural-language questions about your business into instant data visualizations. Analysts no longer wait on business intelligence teams for dashboard projects or are forced to rebuild reports from spreadsheet exports. They ask a question and the chart appears, built on live SEON data.
These join an AI portfolio SEON has shipped over the past year. Existing capabilities include AI-assisted rule creation, scoring insights, AML screening analysis, automated case summaries and regulatory report generation.
“The next generation of fraud and KYC challenges won’t look like the last one. AI agents will interact with our marketplaces as customers, and AI agents will be used to impersonate and exploit our customers as well. Our team needs an intelligence foundation that’s ready for both,” said Mostafa Hassanin, CISO, SMG Marketplace. “SEON opening its data layer to any AI we want to use is exactly the kind of architectural decision that fits where the market is going.”
A Fast-Start Kit for Teams Ready to Build
To help teams get started quickly, SEON is also releasing an AI Playbook for Risk and Compliance Teams. The playbook is a practical guide to connecting AI tools to SEON and building investigation workflows that match how analyst teams actually operate. It ships with pre-built agentic skills, including a fraud analyst daily briefing and a decline spot-check, both compatible with SEON’s MCP server and ready to deploy on day one.
The MCP server, Network Detection, AI Chart Builder and AI Playbook are available now to SEON customers.
The post SEON Expands AI Capabilities Inside the Platform and Through Any External AI Tool appeared first on Americas iGaming & Sports Betting News.
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