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市場調查報告書
商品編碼
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

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

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

  • AI資料驅動廣告的增加有助於廣告AI市場的成長

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

  • 北美在預測期內將經歷指數級成長

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。

為什麼要購買這份報告?

  • 富有洞察力的分析:獲得涵蓋主要和新興地區的深入市場洞察,重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局:了解世界主要企業採取的策略策略,並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議:利用洞察力做出策略決策,在動態環境中發現新的業務流和收益。
  • 受眾廣泛:對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用?

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測(2022-2029)
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析:按細分市場/地區(按國家)
  • 公司概況(策略、產品、財務資訊、主要趨勢等)

廣告人工智慧市場分為以下幾個部分:

依技術

  • 機器學習
  • 自然語言處理(NLP)
  • 電腦視覺
  • 其他

依部署方式

  • 本地

按用途

  • 社群媒體廣告
  • 廣告預算最佳化
  • 廣告管理
  • 廣告變體
  • 個人化廣告
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 印尼
  • 台灣
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章廣告人工智慧市場:依技術分類

  • 介紹
  • 機器學習
  • 自然語言處理(NLP)
  • 電腦視覺
  • 其他

第6章廣告人工智慧市場:依部署方式

  • 介紹
  • 本地

第7章廣告人工智慧市場:按應用分類

  • 介紹
  • 社群媒體廣告
  • 廣告預算最佳化
  • 廣告管理
  • 廣告變體
  • 個人化廣告
  • 其他

第8章廣告人工智慧市場:按地區

  • 介紹
  • 北美洲
    • 依技術
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 南美洲
    • 依技術
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 歐洲
    • 依技術
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 依技術
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 依技術
    • 依部署方式
    • 按用途
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 企業合併、協議和業務合作
  • 競爭對手儀表板

第10章 公司簡介

  • Adobe
  • Rytr
  • Jasper
  • AdCreative
  • StackAdapt Inc.
  • IBM
  • Amazon Ads
  • Oracle AI
  • Salesforce
  • Nvidia
簡介目錄
Product Code: KSI061616764

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

  • Increasing AI data-driven advertising is contributing to AI in the advertising market growth

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

  • North America is witnessing exponential growth during the forecast period

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.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI in the advertisement market is analyzed into the following segments:

By Technology

  • Machine learning
  • Natural language processing (NLP)
  • Computer Vision
  • Others

By Deployment

  • Cloud
  • On-Premise

By Application

  • Social media advertisement
  • Optimize advertising budget
  • Manage Ads
  • Ad Variations
  • Personalize Ads
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN THE ADVERTISEMENT MARKET BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine learning
  • 5.3. Natural language processing (NLP)
  • 5.4. Computer Vision
  • 5.5. Others

6. AI IN THE ADVERTISEMENT MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premise

7. AI IN THE ADVERTISEMENT MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Social media advertisement
  • 7.3. Optimize advertising budget
  • 7.4. Manage Ads
  • 7.5. Ad Variations
  • 7.6. Personalize Ads
  • 7.7. Others

8. AI IN THE ADVERTISEMENT MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Technology
    • 8.2.2. By Deployment
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Technology
    • 8.3.2. By Deployment
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Technology
    • 8.4.2. By Deployment
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. UK
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Technology
    • 8.5.2. By Deployment
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Technology
    • 8.6.2. By Deployment
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. Japan
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Taiwan
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Adobe
  • 10.2. Rytr
  • 10.3. Jasper
  • 10.4. AdCreative
  • 10.5. StackAdapt Inc.
  • 10.6. IBM
  • 10.7. Amazon Ads
  • 10.8. Oracle AI
  • 10.9. Salesforce
  • 10.10. Nvidia