PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1604531
PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1604531
The AI in the advertisement market is expected to grow at a CAGR of 25.60%, reaching a market size of US$112.525 billion in 2029 from US$48.450 billion in 2024.
AI in advertising employs artificial intelligence technologies and methods to enhance several aspects of an advertising campaign, including targeting, content generation, optimization, and analysis. Some prominent elements and tendencies of advertising technology in the scope of AI are AI-based advertising systems, programmatic advertising, advertising segmentation, and advertising personalization. AI advertising systems utilize machine learning to collect and analyze the data, control and manage advertising campaigns, and adjust the advertisement orientation in real time.
Additionally, it includes audience targeting, advertising design enhancement, and results analysis technologies. The AI in the advertising market is influenced by the upsurge of AI in advertising solutions, digitalization, and better advertising approaches. There are also some barriers, such as privacy concerns, inappropriate advertisement practices, and complications. The market, however, presents a viable space for inventions.
AI in the advertisement market drivers
The growing data from various sources, including online activity, attributes of people, and buying records, makes it easy for advertisers to pinpoint their adverts. AI systems can use big data sets to capture audience segments and predict purchase behavior.
Platforms for demand-side advertising from Adobe have led the market. Whenever a client wants to buy advertisement space on mobile sites and applications, they do that through a mobile DSP. Display DSPs are employed for producing web banner advertisements. Video DSPs are used for editing and processing web-based video advertisements. It is the only omnichannel DSP that applies and combines both advertising and marketing technologies, equally producing the best user experience across the platforms. Data-driven advertising gives marketers insights and possibilities for automation with AI-enhancing data processing. The volume and depth of data are on the increase, implying that the intersection of AI and data-driven advertising will drive more innovations and efficiency in the Advertisement business.
AI in the advertisement market geographical outlook
The North American market is expected to hold the largest share. This is because AI in marketing has been adopted in North America for various reasons, such as data intelligence and analytics, programmatic advertising, chatbots, recommendation systems, content development, and consumer tailoring experiences, among many others.
In addition, marketing with the help of AI technologies is practiced in various sectors in North America, including retail and e-commerce, banking and financial services, IT, arts and entertainment, and health, among many others.
Furthermore, many corporations and SMEs in North America are also using AI in marketing. Even though these are solutions geared towards bigger companies, as many of them have enough resources to implement the technology, it is becoming available to SMEs through numerous cloud-based solutions. Therefore, this is expected to enhance the regional market growth.
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