[Research Report] The ad fraud detection tools market is expected to grow from US$ 252.92 million in 2021 to US$ 762.89 million by 2028; it is estimated to grow at a CAGR of 17.1% during 2021 to 2028.
With the growing number of internet users, the demand for digital advertising is increasing due to several digital platforms for advertisement. Digital advertising is now more sophisticated, personalized, and relevant. Consumers spend more time online than ever before, and digital advertising offers an ideal way to reach multi-device and multi-channel consumers. Marketers are also able to target consumers with laser-focused precision as never before. Brands are no longer limited to just demographics and firmographics but can target the exact audience most likely to purchase based on thousands of lifestyle, personality, behaviors, and purchase intent segmentation variables. Mobile is the main driver of growth in digital advertisement nowadays, accounting for over 70% of digital and more than one-quarter of total media outlays, according to the V12 website data. Furthermore, Americans spend over 10 hours a day on screens, and about five of those hours are spent on their smartphones.
The advent of digital advertisement leads to an increase in digital advertising fraud and has also caused many revenue losses for the companies. For instance, digital ad fraud is estimated to cost brands around US$ 44 billion to fraudulent activities by 2022 and reach up to 45% of the total spent, according to mFilterIt data of November 2021. Furthermore, fraudsters are continuously developing technologies to cheat the ecosystem, whereas tech companies are constantly evolving to find ways to stop these fraudsters. Therefore, to prevent such ad frauds from happening with brands and advertisers, companies such as mFilterIt provide comprehensive solutions for digital ad frauds. The solution uses complex algorithms to monitor surface as well as dark web spaces actively and then, using artificial intelligence and machine learning to convert them into meaningful and actionable reports helping brand custodians and community owners to proactively safeguard from any potential harm to the identity and privacy of their community members. Thus, with the growing digital advertisements, the digital ad fraudulent activities are increasing, which drives the need for ad fraud detection tools globally.
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Ad Fraud Detection Tools Market: Strategic Insights

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Ad Fraud Detection Tools Market: Strategic Insights

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Impact of COVID-19 Pandemic on Global Ad Fraud Detection Tools Market
In 2020, with the COVID-19 outbreak scenario, the national lockdown of each and every country has increased the market span of digital technologies. More number of people are now using one or many digital platforms for several reasons, such as work from home (WFH), online transactions via their banks’ digital apps, or via mobile/digital money wallets. And with this, advertising frauds are also increasing through just a single click. It had led to various revenue losses for the company. For instance, data from matchseries.com shows that global losses from ad fraud in 2020 reached a total of US$ 35 billion, while a Campaign Asia report published in December 2020, found that ad fraud is stealing 20% of the world’s online ad spending. These figures help illustrate the extent of the problem that ad fraud creates for businesses, and the vast array of different ad platforms and options that are available to firms means the level of wastage can vary considerably. It is not only SMEs that fall victim to such significant amounts of fraudulent traffic, many of the world’s biggest companies are also being affected. Therefore, ad fraud detection tools were also been adopted by more businesses. Thus, the global ad fraud detection tools market had positive growth in 2020.
Ad Fraud Detection Tools Market Insights
Increase in Use of AI and ML to Boost Ad Fraud Detection Tools Market During Forecast Period
The usage of artificial intelligence (AI) and machine learning (ML) helps tackle the latest kinds of ad frauds due to self-learning capabilities. AI-powered fraud detection system follows a ML algorithm that helps the system learn from suspicious activities (clicks, ad placements) and builds layers of protection. This type of system not only improves and adapts itself to tackle the latest kinds of ad frauds, but it can also recognize patterns in a much more extensive set of data points than traditional systems. On average, an AI (ML)-based fraud detection system can analyze more than 80 dimensions at a time and can detect even the most sophisticated ad frauds, such as the Methbot ad fraud.
Ad Fraud Detection Tools Market – Type Based Market Insights
Based on type, the ad fraud detection tools market is bifurcated into website and mobile. In 2021, the mobile segment led the ad fraud detection tools market and accounted for a larger market share.
Ad Fraud Detection Tools Market – End User Based Market Insights
Based on end user, the ad fraud detection tools market is segmented into e commerce, travel, finance, gaming, and others. In 2021, the finance segment led the ad fraud detection tools market and accounted for the largest market share.
Players operating in the ad fraud detection tools market adopt strategies such as mergers, acquisitions, and market initiatives to maintain their positions in the market. A few developments by key players are listed below:
- In February 2021, Adjust GmbH was acquired by Applovin Corporation. This acquisition will offer best-in-class solutions in one single package, putting measurement, analytics, growth, and monetization solutions within easy reach of every app developer around the globe.
- In February 2020, App Samurai Inc. (mobile growth platform) achieved an investment of US$ 2.4 million in a funding round led by 212 ventures, with collective spark, 500 startups, and Degerhan Usluel, taking total investment to US$ 4.6 million. App Samurai will use the funding to develop its product portfolio and work toward global expansion.
Ad Fraud Detection Tools Market Regional Insights
The regional trends and factors influencing the Ad Fraud Detection Tools Market throughout the forecast period have been thoroughly explained by the analysts at The Insight Partners. This section also discusses Ad Fraud Detection Tools Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
Ad Fraud Detection Tools Market Report Scope
Report Attribute | Details |
---|---|
Market size in 2021 | US$ 252.92 Million |
Market Size by 2028 | US$ 762.89 Million |
Global CAGR (2021 - 2028) | 17.1% |
Historical Data | 2019-2020 |
Forecast period | 2022-2028 |
Segments Covered |
By Type
|
Regions and Countries Covered | North America
|
Market leaders and key company profiles |
Ad Fraud Detection Tools Market Players Density: Understanding Its Impact on Business Dynamics
The Ad Fraud Detection Tools Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

- Get the Ad Fraud Detection Tools Market top key players overview
Company Profiles
- AppsFlyer Ltd.
- Adjust GmbH
- Branch Metrics, Inc.
- FraudScore
- Interceptd (App Samurai Inc.)
- Machine Advertising Limited
- Perform[cb], LLC
- Scalarr Inc.
- Singular Labs, Inc.
- TrafficGuard Pty Ltd
- ADEX (Samoukale Enterprises Limited)
Frequently Asked Questions
What are the driving factors responsible for the growth of ad fraud detection tools market?
Surge in Digital Advertisement
What are the market opportunities for ad fraud detection tools market?
Which type-based segment has the largest market share in 2020?
Who are the major vendors in the ad fraud detection tools market?
What is the future trend for ad fraud detection tools market?
Which region has the largest market share in the ad fraud detection tools market?
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