The global programmatic advertising market size is expected to grow at a CAGR of 22.8% from 2024 to 2030. Programmatic advertising encompasses a wide range of digital channels, from walled gardens like Google and Facebook to connected television (CTV) and OTT. This variety of channels’ capacity increased the reach of advertisements to even broader groups of audiences. 
However, this wider scope of innovation has also opened the door to significant fraud, with <a target="_blank" href="https://www.mfilterit.com/blog/impact-of-fraud-in-programmatic-advertising/">programmatic ad fraud</a> becoming a growing concern for marketers worldwide. With the programmatically run advertisements at $546billion in 2023 according to a Statista report, the volume of ad fraud and low-quality impressions stand at 15-20% according to mFilterIt reports. 
To make their digital campaigns a success advertisers need AI-ML driven ad fraud analytics to improve ROAS (return on ad spends) and reduce budget wastages. 
To read more: <a target="_blank" href="https://www.mfilterit.com/blog/programmatic-ad-fraud-bane-of-branding-campaigns/">Programmatic Ad fraud: The bane of the Branding Campaigns</a>

The global programmatic advertising market size is expected to grow at a CAGR of 22.8% from 2024 to 2030. Programmatic advertising encompasses a wide range of digital channels, from walled gardens like Google and Facebook to connected television (CTV) and OTT. This variety of channels’ capacity increased the reach of advertisements to even broader groups of audiences.   

However, this wider scope of innovation has also opened the door to significant fraud, with [programmatic ad fraud](https://www.mfilterit.com/blog/impact-of-fraud-in-programmatic-advertising/) becoming a growing concern for marketers worldwide. With the programmatically run advertisements at $546billion in 2023 according to a Statista report, the volume of ad fraud and low-quality impressions stand at 15-20% according to mFilterIt reports.  

To make their digital campaigns a success advertisers need AI-ML driven ad fraud analytics to improve ROAS (return on ad spends) and reduce budget wastages. 

To read more: [Programmatic Ad fraud: The bane of the Branding Campaigns](https://www.mfilterit.com/blog/programmatic-ad-fraud-bane-of-branding-campaigns/)