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市场调查报告书

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1782083

社群媒体人工智慧市场机会、成长动力、产业趋势分析及 2025 - 2034 年预测

AI In Social Media Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2025年07月11日 | 出版商:

Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2024年，全球社群媒体人工智慧市场规模达27亿美元，预计到2034年将以28.1%的复合年增长率成长，达到242亿美元。随着品牌和内容创作者寻求更深入的互动、更快速的洞察和更智慧的自动化，人工智慧与社交平台的日益融合推动了这一快速扩张。人工智慧赋能的行销正在演变成品牌策略的重要组成部分，超越基础自动化，迈向支援成长的智慧系统。行为分析、演算法内容交付和即时受众定位的融合，使得行销人员的转型升级至关重要。随着人工智慧能力的不断扩展，企业正在利用能够即时调整并跨平台提供更智慧个人化服务的工具，不断优化其数位化营运。

人工智慧虚拟助理和聊天机器人正在重塑用户与品牌的互动方式，提升回应速度和满意度。领先的平台正在将人工智慧深度嵌入用户介面，利用智慧演算法策划个人化资讯流并精准定位受众。随着企业实施专有模型以提升获利能力和参与度，贴文排期、内容标记和影片优化等自动化解决方案正日益普及。基于人工智慧的情绪分析和聆听工具也日益流行，帮助企业以情感上的细微差别和多语言精准度追踪品牌健康状况和公众认知。

市场范围
起始年份	2024
预测年份	2025-2034
起始值	27亿美元
预测值	242亿美元
复合年增长率	28.1%

2024年，机器学习和深度学习技术以45%的市占率领先社群媒体人工智慧市场，预计2034年将以31%的复合年增长率成长。这些模型对于资讯流排名、广告优化、垃圾邮件侦测和客製化内容投放等功能至关重要。透过分析数十亿个资料点，这些演算法能够持续调整，以提升用户体验和后端效能。其可扩展性使平台能够大规模个人化，同时保持系统效率和预测准确性。

软体解决方案细分市场在2024年占据了68%的市场份额，预计将保持强劲成长势头，在预测期内以接近28%的复合年增长率成长。综合工具包正在取代碎片化系统，使品牌能够透过集中式仪表板管理分析、日程安排、内容审核和协作。凭藉内建的工作流程、存取控制和区域合规性工具，这些平台增强了一致性，简化了审批流程，并加快了全球团队的品牌回应速度。这些解决方案帮助品牌在日益复杂的数位环境中保持策略的一致性。

美国社群媒体市场人工智慧占77%的份额，2024年创造了10.2亿美元的市场规模。由于高消费者参与度、成熟的数位基础设施以及强劲的智慧型手机和宽频普及率，美国持续引领社交媒体和人工智慧融合领域的全球创新。美国消费者在平台上互动的时间非常长，这使得美国市场对广告主和平台提供者来说都至关重要。美国开发的基于人工智慧的广告工具、推荐系统和互动引擎正在塑造企业如何在各个市场中实现价值和规模化。

市场上的知名企业包括 Clarabridge、Salesforce、Crimson Hexagon、Sprinklr、Meta Platforms、Adobe Systems、IBM、Brandwatch、Talkwalker 和 Hootsuite。为了巩固其在社群媒体人工智慧市场的立足点，主要企业正在采取多种策略。他们正在开发先进的人工智慧模型，以增强个人化、自动化内容工作流程并提供即时情绪分析。

企业也正在投资多语言自然语言处理 (NLP) 和情绪智商，以提升不同受众的用户理解力和参与度。合作和收购正被用于整合互补技术并扩展服务范围。供应商专注于为各种规模的品牌和代理商量身定制可扩展的 SaaS 解决方案。此外，企业正在建立基于生态系统的平台，以支援端到端的行销活动管理、分析和合规性，确保讯息传递的灵活性和一致性。

产业生态系统分析
- 供应商概况
- 利润率
- 成本结构
- 每个阶段的增值
- 影响价值链的因素
- 中断
投资和资金分析
- 全球人工智慧投资格局
- 人工智慧社群媒体的创投趋势
- 主要融资轮次和估值
- 科技巨头的策略投资
- 併购活动与市场整合
- 区域投资模式
- 未来投资前景及机会
产业衝击力
- 成长动力
  - 增加人工智慧广告的使用
  - 聊天机器人和虚拟助理的普及率不断提高
  - NLP 与电脑视觉的进步
  - 需要即时分析和洞察
  - 5G和边缘运算的扩展
- 产业陷阱与挑战
  - 资料隐私和安全问题
  - 实施和营运成本高
- 市场机会
  - 高阶个人化技术
  - 与新兴科技的融合
  - 改进内容审核
  - 新兴市场的扩张
成长潜力分析
监管格局
波特的分析
PESTEL分析
技术和创新格局
- 生成式人工智慧与内容创作
  - 文本生成和文案撰写
  - 图片和影片创作工具
  - 人工智慧驱动的内容策划
- 自然语言处理的进步
  - 情绪分析与社交聆听
  - 多语言内容处理
  - 对话式人工智慧与聊天机器人
- 电脑视觉应用
  - 影像辨识和标记
  - 影片内容分析
  - 视觉搜寻和发现
- 机器学习和预测分析
  - 使用者行为预测
  - 内容推荐演算法
  - 趋势预测与分析
- 新兴技术
  - 多模态人工智慧系统
  - 人工智慧代理与自主社交媒体管理
专利分析
永续性和环境方面
- 永续实践
- 减少废弃物的策略
- 生产中的能源效率
- 环保倡议
- 碳足迹考量

第四章：竞争格局

介绍
公司市占率分析
- 北美洲
- 欧洲
- 亚太地区
- 拉丁美洲
- MEA
主要市场参与者的竞争分析
竞争定位矩阵
战略展望矩阵
关键进展
- 併购
- 伙伴关係与合作
- 新产品发布
- 扩张计划和资金

第五章：市场估计与预测：依技术分类，2021 - 2034 年

主要趋势
机器学习和深度学习
- 监督学习应用
- 无监督学习解决方案
- 强化学习系统
自然语言处理（NLP）
- 文字分析与处理
- 情绪分析工具
- 语言翻译服务
电脑视觉
- 影像辨识和分类
- 视讯分析与处理
- 视觉搜寻技术
生成式人工智慧
- 文字生成平台
- 图片和影片创作工具
- 合成内容生成

第六章：市场估计与预测：按组件，2021 - 2034 年

主要趋势
软体解决方案
- 基于平台的解决方案
- API和SDK服务
- 客製化软体开发
服务
- 咨询及实施服务
- 託管服务
- 支援和维护
- 培训和教育服务

第七章：市场估计与预测：按应用，2021 - 2034 年

主要趋势
内容审核和安全
- 自动内容过滤
- 仇恨言论侦测
- 错误讯息识别
内容推荐与个人化
- 进给最佳化演算法
- 个性化内容传递
- 使用者偏好学习
社群媒体分析与洞察
- 性能指标分析
- 受众行为分析
- 竞争情报
行销和广告自动化
- 目标广告解决方案
- 广告活动优化工具
- 有影响力的行销平台
客户服务和参与
- 人工智慧聊天机器人和虚拟助手
- 自动响应系统
- 客户支援分析

第八章：市场估计与预测：依组织规模，2021 - 2034 年

主要趋势
大型企业
中小企业

第九章：市场估计与预测：依最终用途，2021 - 2034 年

主要趋势
零售与电子商务
媒体和娱乐
医疗保健和製药
金融服务
教育和培训
政府和公共部门
其他的

第十章：市场估计与预测：按地区，2021 - 2034 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 菲律宾
- 越南
- 印尼
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿联酋
- 沙乌地阿拉伯

第 11 章：公司简介

Isentium
Crimson Hexagon
Hootsuite
Meta Platforms
Clarabridge
Amazon
Adobe
Cluep
Brandwatch
IBM
Microsoft
Oracle
Replai
Replai
Salesforce
Sprinklr
Sprout
Synthesio
Talkwalker
Vidora

简介目录

Product Code: 14372

The Global AI In Social Media Market was valued at USD 2.7 billion in 2024 and is estimated to grow at a CAGR of 28.1% to reach USD 24.2 billion by 2034. This rapid expansion is driven by the increasing integration of AI in social platforms, as brands and content creators seek deeper engagement, faster insights, and smarter automation. AI-enabled marketing is evolving into a vital component of brand strategy, moving beyond basic automation to intelligent systems that support growth. The convergence of behavioral analytics, algorithmic content delivery, and real-time audience targeting has made it essential for marketers to evolve. As AI capabilities expand, businesses are refining their digital efforts by leveraging tools that adapt in real-time and offer smarter personalization across platforms.

AI-powered virtual assistants and chatbots are reshaping how users interact with brands, improving both responsiveness and satisfaction. Leading platforms are embedding AI deeply into user interfaces, using intelligent algorithms to curate personalized feeds and refine audience targeting. As companies implement proprietary models to boost monetization and engagement, automated solutions like post scheduling, content tagging, and video optimization are becoming widespread. AI-based sentiment analysis and listening tools are also gaining momentum, helping businesses track brand health and public perception with emotional nuance and multilingual precision.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$2.7 Billion
Forecast Value	$24.2 Billion
CAGR	28.1%

In 2024, machine learning and deep learning technologies led the AI in social media market with a 45% share and is forecast to grow at a CAGR of 31% through 2034. These models are fundamental in powering features like feed ranking, ad optimization, spam detection, and tailored content delivery. By analyzing billions of data points, these algorithms adapt continuously to improve user experience and backend performance. Their scalability enables platforms to personalize at scale while maintaining system efficiency and predictive accuracy.

The software solutions segment captured a 68% share in 2024 and is expected to maintain strong momentum, growing at a CAGR near 28% through the forecast period. Comprehensive toolkits are replacing fragmented systems, enabling brands to manage analytics, scheduling, content moderation, and collaboration through a centralized dashboard. With built-in workflows, access control, and regional compliance tools, these platforms enhance consistency, streamline approvals, and accelerate brand responsiveness across global teams. These solutions help brands maintain cohesive strategies in increasingly complex digital environments.

U.S. AI in Social Media Market held a 77% share and generated USD 1.02 billion in 2024. The country continues to lead global innovation in social media and AI integration, supported by high consumer engagement, mature digital infrastructure, and strong smartphone and broadband adoption. Consumers in the US spend significant time interacting on platforms, making it a critical market for both advertisers and platform providers. AI-based ad tools, recommendation systems, and engagement engines developed in the US are shaping how companies deliver value and scale across markets.

Prominent players in the market include Clarabridge, Salesforce, Crimson Hexagon, Sprinklr, Meta Platforms, Adobe Systems, IBM, Brandwatch, Talkwalker, and Hootsuite. To strengthen their foothold in the AI in social media market, key players are leveraging multiple strategies. They are developing advanced AI models to enhance personalization, automate content workflows, and deliver real-time sentiment analysis.

Companies are also investing in multilingual NLP and emotional intelligence to improve user understanding and engagement across diverse audiences. Partnerships and acquisitions are being used to integrate complementary technologies and expand service offerings. Vendors are focusing on scalable SaaS solutions tailored for brands and agencies of all sizes. In addition, firms are building ecosystem-based platforms that support end-to-end campaign management, analytics, and compliance, ensuring agility and consistency in messaging.

Chapter 1 Methodology

1.1 Market scope and definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Data mining sources
- 1.3.1 Global
- 1.3.2 Regional/Country
1.4 Base estimates and calculations
- 1.4.1 Base year calculation
- 1.4.2 Key trends for market estimation
1.5 Primary research and validation
- 1.5.1 Primary sources
1.6 Forecast model
1.7 Research assumptions and limitations

Chapter 2 Executive Summary

2.1 Industry 360° synopsis
2.2 Key market trends
- 2.2.1 Regional
- 2.2.2 Technology
- 2.2.3 Component
- 2.2.4 Application
- 2.2.5 Organization Size
- 2.2.6 End Use
2.3 TAM Analysis, 2025-2034
2.4 CXO perspectives: Strategic imperatives
- 2.4.1 Key decision points for industry executives
- 2.4.2 Critical success factors for market players
2.5 Future Outlook and Strategic Recommendations

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
- 3.1.1 Supplier Landscape
- 3.1.2 Profit Margin
- 3.1.3 Cost structure
- 3.1.4 Value addition at each stage
- 3.1.5 Factor affecting the value chain
- 3.1.6 Disruptions
3.2 Investment and funding analysis
- 3.2.1 Global AI investment landscape
- 3.2.2 Venture capital trends in AI social media
- 3.2.3 Major funding rounds and valuations
- 3.2.4 Strategic investments by tech giants
- 3.2.5 M&A activity and market consolidation
- 3.2.6 Regional investment patterns
- 3.2.7 Future investment outlook and opportunities
3.3 Industry impact forces
- 3.3.1 Growth drivers
  - 3.3.1.1 Increased use of AI-powered advertising
  - 3.3.1.2 Growing adoption of chatbots and virtual assistants
  - 3.3.1.3 Advancements in NLP and computer vision
  - 3.3.1.4 Need for real-time analytics and insights
  - 3.3.1.5 Expansion of 5G and edge computing
- 3.3.2 Industry pitfalls & challenges
  - 3.3.2.1 Data privacy and security concerns
  - 3.3.2.2 High implementation and operational costs
- 3.3.3 Market opportunities
  - 3.3.3.1 Advanced personalization techniques
  - 3.3.3.2 Integration with emerging technologies
  - 3.3.3.3 Improved content moderation
  - 3.3.3.4 Expansion in emerging markets
3.4 Growth potential analysis
3.5 Regulatory landscape
3.6 Porter’s analysis
3.7 PESTEL analysis
3.8 Technology and innovation landscape
- 3.8.1 Generative AI and content creation
  - 3.8.1.1 Text generation and copywriting
  - 3.8.1.2 Image and video creation tools
  - 3.8.1.3 AI-powered content curation
- 3.8.2 Natural language processing advancements
  - 3.8.2.1 Sentiment analysis and social listening
  - 3.8.2.2 Multilingual content processing
  - 3.8.2.3 Conversational AI and chatbots
- 3.8.3 Computer vision applications
  - 3.8.3.1 Image recognition and tagging
  - 3.8.3.2 Video content analysis
  - 3.8.3.3 Visual search and discovery
- 3.8.4 Machine learning and predictive analytics
  - 3.8.4.1 User behavior prediction
  - 3.8.4.2 Content recommendation algorithms
  - 3.8.4.3 Trend forecasting and analysis
- 3.8.5 Emerging technologies
  - 3.8.5.1 Multimodal AI systems
  - 3.8.5.2 AI agents and autonomous social media management
3.9 Patent analysis
3.10 Sustainability and environmental aspects
- 3.10.1 Sustainable practices
- 3.10.2 Waste reduction strategies
- 3.10.3 Energy efficiency in production
- 3.10.4 Eco-friendly initiatives
- 3.10.5 Carbon footprint considerations

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
- 4.2.1 North America
- 4.2.2 Europe
- 4.2.3 Asia Pacific
- 4.2.4 LATAM
- 4.2.5 MEA
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
4.6 Key developments
- 4.6.1 Mergers & acquisitions
- 4.6.2 Partnerships & collaborations
- 4.6.3 New Product Launches
- 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Mn)

5.1 Key trends
5.2 Machine learning and deep learning
- 5.2.1 Supervised learning applications
- 5.2.2 Unsupervised learning solutions
- 5.2.3 Reinforcement learning systems
5.3 Natural language processing (NLP)
- 5.3.1 Text analytics and processing
- 5.3.2 Sentiment analysis tools
- 5.3.3 Language translation services
5.4 Computer vision
- 5.4.1 Image recognition and classification
- 5.4.2 Video analysis and processing
- 5.4.3 Visual search technologies
5.5 Generative AI
- 5.5.1 Text generation platforms
- 5.5.2 Image and video creation tools
- 5.5.3 Synthetic content generation

Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn)

6.1 Key trends
6.2 Software solutions
- 6.2.1 Platform-based solutions
- 6.2.2 API and SDK services
- 6.2.3 Custom software development
6.3 Services
- 6.3.1 Consulting and implementation services
- 6.3.2 Managed services
- 6.3.3 Support and maintenance
- 6.3.4 Training and education services

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn)

7.1 Key trends
7.2 Content moderation and safety
- 7.2.1 Automated content filtering
- 7.2.2 Hate speech detection
- 7.2.3 Misinformation identification
7.3 Content recommendation and personalization
- 7.3.1 Feed optimization algorithms
- 7.3.2 Personalized content delivery
- 7.3.3 User preference learning
7.4 Social media analytics and insights
- 7.4.1 Performance metrics analysis
- 7.4.2 Audience behavior analytics
- 7.4.3 Competitive intelligence
7.5 Marketing and advertising automation
- 7.5.1 Targeted advertising solutions
- 7.5.2 Campaign optimization tools
- 7.5.3 Influencer marketing platforms
7.6 Customer service and engagement
- 7.6.1 AI chatbots and virtual assistants
- 7.6.2 Automated response systems
- 7.6.3 Customer support analytics

Chapter 8 Market Estimates & Forecast, By Organization Size, 2021 - 2034 ($Mn)

8.1 Key trends
8.2 Large enterprises
8.3 Small and medium enterprises (SMEs)

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Mn)

9.1 Key trends
9.2 Retail and E-commerce
9.3 Media and entertainment
9.4 Healthcare and pharmaceuticals
9.5 Financial services
9.6 Education and training
9.7 Government and public sector
9.8 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn)

10.1 Key trends
10.2 North America
- 10.2.1 US
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Philippines
- 10.4.8 Vietnam
- 10.4.9 Indonesia
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
10.6 MEA
- 10.6.1 UAE
- 10.6.2 Saudi Arabia