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市场调查报告书
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1604531

广告人工智慧市场：未来预测（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个工作天内

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简介目录

广告人工智慧市场预计复合年增长率为25.60%，市场规模从2024年的484.5亿美元增加到2029年的1125.25亿美元。

广告人工智慧采用人工智慧技术和技术来增强广告宣传的多个方面，包括定位、内容生成、优化和分析。人工智慧领域内广告技术的一些突出元素和趋势是基于人工智慧的广告系统、程式化广告、广告细分和广告个人化。人工智慧广告系统利用机器学习来收集和分析资料，控制和管理广告宣传，并即时调整广告方向。

它还包括受众定位、广告设计增强和结果分析技术。广告市场的人工智慧受到人工智慧在广告解决方案、数位化和更好的广告方法中崛起的影响。也存在隐私问题、不恰当的广告做法和复杂性等障碍。然而，这个市场为发明提供了可行的空间。

广告人工智慧市场的驱动因素

  • AI资料驱动广告的增加有助于广告AI市场的成长

来自各种来源的资料的增加，包括线上活动、人们的人口统计和购买记录，使得广告商更容易精确地定位他们的广告。人工智慧系统可以利用巨量资料集来了解受众群体并预测购买行为。

Adobe 的需求端广告平台引领了市场。如果客户想要购买行动网站或应用程式的广告空间，他们必须透过行动 DSP 进行操作。显示 DSP 用于建立网页横幅广告。影片DSP用于编辑和处理基于网路的影片广告。我们是唯一应用并整合广告和行销技术的全通路 DSP，可在每个平台上提供相同的最佳用户体验。资料驱动的广告透过人工智慧驱动的资料处理为负责人提供了洞察力和自动化潜力。资料的数量和深度只会不断增加，这表明人工智慧和资料驱动的广告的交叉将为广告业务带来进一步的创新和效率。

广告人工智慧市场的地理版图

  • 北美在预测期内将经历指数级增长

预计北美市场将占据最大份额。这是因为北美出于多种原因在行销中采用人工智慧，包括资料智慧和分析、程序化广告、聊天机器人、建议系统、内容开发和为消费者量身定制的体验。

此外，在北美，利用人工智慧技术的行销正在各个领域开展，包括零售/电子商务、银行/金融服务、IT、艺术/娱乐和健康。

此外，北美的许多公司和小型企业也正在使用人工智慧进行行销。儘管这些解决方案针对的是大型企业，其中许多企业拥有足够的资源来部署该技术，但它们也可以透过许多云端基础的解决方案提供给中小型企业。因此，预计该地区的市场成长将得到推动。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业明智以及其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2029）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 收益成长率与预测分析：按细分市场/地区（按国家）
  • 公司概况（策略、产品、财务资讯、主要趋势等）

广告人工智慧市场分为以下几个部分：

依技术

  • 机器学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 其他的

依部署方式

  • 云
  • 本地

按用途

  • 社群媒体广告
  • 广告预算优化
  • 广告管理
  • 广告变体
  • 个人化广告
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章 分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章广告人工智慧市场：依技术分类

  • 介绍
  • 机器学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 其他的

第六章广告人工智慧市场：依部署方式

  • 介绍
  • 云
  • 本地

第七章广告人工智慧市场：按应用分类

  • 介绍
  • 社群媒体广告
  • 广告预算优化
  • 广告管理
  • 广告变体
  • 个人化广告
  • 其他的

第八章广告人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 依技术
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 南美洲
    • 依技术
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 欧洲
    • 依技术
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 依技术
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 依技术
    • 依部署方式
    • 按用途
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 企业合併、协议和业务合作
  • 竞争对手仪表板

第十章 公司简介

  • Adobe
  • Rytr
  • Jasper
  • AdCreative
  • StackAdapt Inc.
  • IBM
  • Amazon Ads
  • Oracle AI
  • Salesforce
  • Nvidia
简介目录
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