Bitte beachten Sie, dass die von Ihnen aufgerufene Seite nicht in Ihrer Standardsprache vorliegt. Sie nutzen unsere Plattform nun in einer anderen Sprache.

Artificial intelligence (AI) use in programmatic advertising - statistics & facts

The usage of artificial intelligence (AI) in programmatic advertising was not brought about by the launch of ChatGPT in November 2022. The advertising industry was much faster to notice the potential of the technology, and AI-based ad tech quickly mushroomed into a flourishing sector. Now the assistance of AI can be applied in every stage of the programmatic advertising process, and the scope of tasks delegated to AI is broad. It may range from simple data collection and analysis to creating consumer segments and ad targeting. AI can also be entrusted with money. It can be tasked with optimizing how the ad budget is spent and with the programmatic bidding process. Among many other applications, AI can help detect programmatic ad fraud or use facial recognition to target ads. This technique is used in digital out-of-home (DOOH) ads, which adjust the ads they present to the age, gender, or even mood of the passing audience.

Benefits of AI in programmatic advertising

Among the most basic motivations to incorporate machines in any process is relieving humans of repetitive and mundane tasks and delegating them to automation management and quality control. However, in programmatic advertising, AI can do much more than that. It can save time by doing away with lengthy negotiations between advertisers and publishers – decisions are taken instantaneously. If paired with analytics tools, AI-driven data collection can deliver deeper insights into audiences and competitors. This provides a more complete understanding of the market and the needs and wants of the consumer. Such knowledge, supplemented with targeting, tends to achieve higher effectiveness and a better return on advertising spending (ROAS). AI-powered ad fraud prevention platforms also contribute to higher ROAS. Additionally, marketers name ad effectiveness measurement possibilities as one of the key benefits of AI use in digital advertising.

Success stories

As the sector develops and matures, AI tools will be asked to solve most of the challenges advertising faces. Some platforms are already firmly established solutions. AdRoll, founded in 2007, applies artificial intelligence to consumer data analysis and retargeting. TubeMogul – a part of the Adobe Advertising Cloud family – is a programmatic video advertising platform that uses AI to personalize ads based on user behavior. Snorkel AI, on the other hand, was founded as recently as 2019 and employs AI to do a mundane, repetitive job that would otherwise have to be done manually: programmatic data labeling. In this process, raw data such as images, videos, or text files receive a label to be used in the next step of the programmatic advertising process (e.g. analysis and segmentation). The company’s automatized approach gained popularity, and as a result, it became one of few AI companies to reach a billion-dollar valuation in less than two years.
This text provides general information. Statista assumes no liability for the information given being complete or correct. Due to varying update cycles, statistics can display more up-to-date data than referenced in the text.
Published by Statista Research Department, Dec 6, 2023

Key insights

AI market size worldwide
142.3bn USD
AI-enabled advertising spending worldwide
370bnUSD
Programmatic ad spend worldwide
595bn USD
Get more insights

Editor’s Picks Current statistics on this topic

Ways in which marketers used artificial intelligence (AI) worldwide in 2021 and 2022

Online marketing

Top ways for using AI in marketing worldwide 2021-2022

Funding raised by selected artificial intelligence (AI) marketing-related startups worldwide as of March 2023 (in million U.S. dollars)

Online marketing

Funding of selected AI marketing start-ups globally 2023

Artificial intelligence (AI) adoption rate in businesses globally from 2017 to 2022

Artificial Intelligence

AI adoption rate in businesses worldwide 2017-2022

Further recommended statistics

Further reports

Get the best reports to understand your industry

Data usage in marketing and advertising in the U.S.
Data usage in marketing and advertising in the U.S.
Marketing technology implementation in the U.S.
Marketing technology implementation in the U.S.
Marketing personalization in the United States
Marketing personalization in the United States
Marketing personalization worldwide
Marketing personalization worldwide
Artificial intelligence (AI) adoption, risks, and challenges
Artificial intelligence (AI) adoption, risks, and challenges

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)
Email
support@statista.com

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)
Email
asia.support@statista.com

Mon - Fri, 9am - 5pm (SGT)

Contact Kisara Mizuno
Kisara Mizuno
Senior Business Development Manager– Contact (Asia)
Email
asia.support@statista.com

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)
Email
eu.support@statista.com

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)
Email
latam@statista.com

Mon - Fri, 9am - 6pm (EST)

Menu