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Global $192 Billion Online Gambling Markets, Opportunities and Strategies, 2015-2020, 2025F, 2030F

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The “Online Gambling Global Market Opportunities And Strategies To 2030, By Game Type, Device” report has been added to ResearchAndMarkets’ offering.

The online gambling market reached a value of nearly $76,792.7 million in 2020, having increased at a compound annual growth rate (CAGR) of 13.7% since 2015. The market is expected to grow from $76,792.7 million in 2020 to $127,451.4 million in 2025 at a rate of 10.7%. The market is then expected to grow at a CAGR of 8.6% from 2025 and reach $192,264.4 million in 2030.

Growth in the historic period resulted from strong economic growth in emerging markets, growing adoption of smartphones with improved internet accessibility, increasing popularity of digital payments and rise in disposable income.

Going forward, increasing gamer involvement during the covid-19 pandemic, increasing consumer acceptance for fintech, technically advanced platforms, legalization of gambling and changing consumer gambling habits will drive the growth. Factors that could hinder the growth of the online gambling market in the future include global recession, regulatory restrictions to curb gambling addiction, demographic changes and security challenges

The online gambling market is segmented by game type into betting, casino, lottery, poker, online bingo, and others. The betting market was the largest segment of the online gambling market segmented by game type, accounting for 46.7% of the total in 2020. Going forward, the lottery segment is expected to be the fastest growing segment in the online gambling market segmented by game type, at a CAGR of 16.8% during 2020-2025.

The online gambling market is also segmented by device into desktop, mobile and other devices. The desktop market was the largest segment of the online gambling market segmented by device, accounting for 57.9% of the total in 2020. Going forward, the mobile segment is expected to be the fastest growing segment in the online gambling market segmented by device, at a CAGR of 17.4% during 2020-2025.

Asia Pacific was the largest region in the online gambling market, accounting for 31.9% of the total in 2020. It was followed by Western Europe, and then the other regions. Going forward, the fastest-growing regions in the online gambling market will be Western Europe, and, Asia Pacific where growth will be at CAGRs of 10.83% and 10.81% respectively. These will be followed by South America, and Middle East, where the markets are expected to grow at CAGRs of 10.7% and 10.5% respectively.

The online gambling market is fairly fragmented, with a large number of players. The top ten competitors in the market made up to 23.15% of the total market in 2020. The key players in the market are focusing on continuous product innovations, mergers & acquisition to expand its market presence and to gain competitive edge in the market.

Flutter Entertainment plc was the largest competitor with 6.06% of the market, followed by bet365 Group Ltd. with 4.80%, Entain plc with 4.66%, Kindred Group plc with 1.96%, William Hill PLC with 1.55%, 888 Holdings PLC with 1.06%, International Game Technology PLC with 1.03%, Betsson Ab with 0.96%, DraftKings Inc. with 0.61% and Betfred with 0.46%.

The top opportunities in the online gambling market segmented by game type will arise in the betting segment, which will gain $21,415.9 million of global annual sales by 2025. The top opportunities in segment by device will arise in the mobile segment, which will gain $35,462.1 million of global annual sales by 2025. The online gambling market size will gain the most in the USA at $8,453.8 million.

Market-trend-based strategies for the online gambling market include investing in AI technology to enhance user experience, integrating cryptocurrency as a payment mode, building mobile apps, investing in AR and VR technology, sponsoring sports events with large viewership, tie-up with celebrities and influencers, offer free access to games with certain main features and offer cross platform support for games.

Key Topics Covered:

1. Online 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 Game Type
6.3. Segmentation By Device

7. Online Gambling Market Characteristics
7.1. Market Definition
7.2. Segmentation By Game Type
7.2.1. Betting
7.2.2. Casino
7.2.3. Lottery
7.2.4. Poker
7.2.5. Online Bingo
7.2.6. Others
7.3. Segmentation By Device
7.3.1. Desktop
7.3.2. Mobile
7.3.3. Other Devices

8. Online Gambling Market Trends And Strategies
8.1. Use Of Artificial Intelligence In Online Gambling
8.2. Blockchain In Online Gambling
8.3. Mobile Gambling
8.4. Virtual Reality/Augmented Reality To Enhance User Experience
8.5. Online Gambling Companies Sponsoring Sports Teams
8.6. Celebrity Endorsements
8.7. Freemium Models In Online Gambling
8.8. Cross Platform Gambling Games

9. Impact Of COVID-19 On The Online Gambling Market
9.1. Introduction
9.2. Impact On Major Regions
9.2.1. North America
9.2.2. Asia-Pacific
9.2.3. Europe
9.3. Impact On Sports Betting
9.4. Conclusion

10. Global Online Gambling Market Size And Growth
10.1. Market Size
10.2. Historic Market Growth, 2015 – 2020, Value ($ Million)
10.2.1. Drivers Of The Market 2015 – 2020
10.2.2. Restraints On The Market 2015 – 2020
10.3. Forecast Market Growth, 2020 – 2025, 2030F Value ($ Million)
10.3.1. Drivers Of The Market 2020 – 2025
10.3.2. Restraints On The Market 2020 – 2025

11. Global Online Gambling Market Segmentation
11.1. Global Online Gambling Market, Segmentation By Game Type, Historic And Forecast, 2015 – 2020, 2025F, 2030F, Value ($ Million)
11.2. Global Online Gambling Market, Segmentation By Device, Historic And Forecast, 2015 – 2020, 2025F, 2030F, Value ($ Million)

12. Online Gambling Market, Regional And Country Analysis
12.1. Global Online Gambling Market, By Region, Historic and Forecast, 2015 – 2020, 2025F, 2030F, Value ($ Million)
12.2. Global Online Gambling Market, By Country, Historic and Forecast, 2015 – 2020, 2025F, 2030F, Value ($ Million)

Companies Mentioned

  • Flutter Entertainment plc
  • bet365 Group Ltd.
  • Entain plc
  • Kindred Group plc
  • William Hill PLC
  • 888 Holdings PLC
  • International Game Technology PLC
  • Betsson Ab
  • DraftKings Inc.
  • Betfred

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iGaming

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

The post Scaling In-App Traffic in iGaming: A Performance-Driven Approach appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

Continue Reading

iGaming

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

The post Scaling In-App Traffic in iGaming: A Performance-Driven Approach appeared first on Americas iGaming & Sports Betting News.

Continue Reading

Latest News

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

Continue Reading

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