市場調查報告書
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1604531
廣告人工智慧市場:未來預測(2024-2029)AI In The Advertisement Market - Forecasts from 2024 to 2029 |
廣告人工智慧市場預計複合年成長率為25.60%,市場規模從2024年的484.5億美元增加到2029年的1125.25億美元。
廣告人工智慧採用人工智慧技術和技術來增強廣告宣傳的多個方面,包括定位、內容生成、最佳化和分析。人工智慧領域內廣告技術的一些突出元素和趨勢是基於人工智慧的廣告系統、程式化廣告、廣告細分和廣告個人化。人工智慧廣告系統利用機器學習來收集和分析資料,控制和管理廣告宣傳,並即時調整廣告方向。
它還包括受眾定位、廣告設計增強和結果分析技術。廣告市場的人工智慧受到人工智慧在廣告解決方案、數位化和更好的廣告方法中崛起的影響。也存在隱私問題、不恰當的廣告做法和複雜性等障礙。然而,這個市場為發明提供了可行的空間。
廣告人工智慧市場的促進因素
來自各種來源的資料的增加,包括線上活動、人們的人口統計和購買記錄,使得廣告商更容易精確地定位他們的廣告。人工智慧系統可以利用巨量資料集來了解受眾群體並預測購買行為。
Adobe 的需求端廣告平台引領了市場。如果客戶想要購買行動網站或應用程式的廣告空間,他們必須透過行動 DSP 進行操作。顯示 DSP 用於建立網頁橫幅廣告。影片DSP用於編輯和處理基於網路的影片廣告。我們是唯一應用並整合廣告和行銷技術的全通路 DSP,可在每個平台上提供相同的最佳用戶體驗。資料驅動的廣告透過人工智慧驅動的資料處理為負責人提供了洞察力和自動化潛力。資料的數量和深度只會不斷增加,這表明人工智慧和資料驅動的廣告的交叉將為廣告業務帶來進一步的創新和效率。
廣告人工智慧市場的地理版圖
預計北美市場將佔據最大佔有率。這是因為北美出於多種原因在行銷中採用人工智慧,包括資料智慧和分析、程序化廣告、聊天機器人、建議系統、內容開發和為消費者量身定做的體驗。
此外,在北美,利用人工智慧技術的行銷正在各個領域開展,包括零售/電子商務、銀行/金融服務、IT、藝術/娛樂和健康。
此外,北美的許多公司和小型企業也正在使用人工智慧進行行銷。儘管這些解決方案針對的是大型企業,其中許多企業擁有足夠的資源來部署該技術,但它們也可以透過許多雲端基礎的解決方案提供給中小型企業。因此,預計該地區的市場成長將得到推動。
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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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