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市場調査レポート
商品コード
1607711
ソーシャルメディアにおけるAIの市場規模、シェア、成長分析、技術別、用途別、サービス別、組織規模別、エンドユーザー別、地域別 - 産業予測、2024年~2031年AI in Social Media Market Size, Share, Growth Analysis, By Technology, By Application, By Service, By Organization Size, By End User, By Region - Industry Forecast 2024-2031 |
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ソーシャルメディアにおけるAIの市場規模、シェア、成長分析、技術別、用途別、サービス別、組織規模別、エンドユーザー別、地域別 - 産業予測、2024年~2031年 |
出版日: 2024年12月05日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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世界のソーシャルメディアにおけるAIの市場規模は、2022年に13億米ドルとなり、2023年の19億米ドルから、2031年までには181億米ドルに成長し、予測期間(2024年~2031年)のCAGRは32.6%で成長する見通しです。
世界のソーシャルメディアにおけるAI市場は、ソーシャルメディア・プラットフォームによるAI技術の広範な採用が原動力となり、著しい成長と変貌を遂げています。これらの進歩は、コンテンツのパーソナライゼーションやターゲット広告の改善を通じてユーザー体験を向上させます。AIアルゴリズムは、ユーザーデータ、行動、選好を分析し、カスタマイズされたコンテンツを提供します。さらに、センチメント分析、顧客サービスの自動化、ソーシャルメディア・モニタリングなどのAIアプリケーションは、動向を追跡し、ブランドの評判を管理し、最終的に顧客満足度を高めるためにますます活用されるようになっています。プラットフォームがAI機能への投資を続ける中、市場はユーザーと広告主の双方の進化するニーズに応えることを目指し、持続的な拡大が見込まれています。
Global AI in Social Media Market size was valued at USD 1.3 billion in 2022 and is poised to grow from USD 1.9 billion in 2023 to USD 18.1 billion by 2031, growing at a CAGR of 32.6% during the forecast period (2024-2031).
The global AI in social media market is witnessing significant growth and transformation, driven by the widespread adoption of AI technologies by social media platforms. These advancements enhance user experiences through improved content personalization and targeted advertising. AI algorithms analyze user data, behavior, and preferences to deliver customized content, which boosts user engagement and retention while optimizing monetization strategies. Furthermore, AI applications such as sentiment analysis, customer service automation, and social media monitoring are increasingly utilized to track trends and manage brand reputation, ultimately enhancing customer satisfaction. As platforms continue to invest in AI capabilities, the market is poised for sustained expansion, aiming to meet the evolving needs of both users and advertisers.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai In Social Media market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Ai In Social Media Market Segmental Analysis
Global AI in Social Media Market is segmented by Technology, Application, Service, Organization Size, End User and Region. Based on Technology, the market is segmented into Machine Learning and Deep Learning, Natural Language Processing, Generative AI, Others. Based on Application, the market is segmented into Customer Experience Management, Sales and Marketing, Image Recognition, Predictive Risk Assessment, Others. Based on Services, the market is segmented into Managed Services, Professional Services. Based on Organization Size, the market is segmented into Small and Medium Enterprises, Large Enterprises. Based on End User, the market is segmented into Retail, E-Commerce, BFSI, Media and Advertising, Education, Others. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Ai In Social Media Market
A significant catalyst for the expansion of the global AI in social media market is the rising demand for personalized and engaging user experiences. Advanced AI technologies, including natural language processing, sentiment analysis, and machine learning algorithms, allow social media platforms to process vast amounts of user-generated content effectively. By deciphering user preferences and behaviors, these technologies facilitate tailored content suggestions, focused advertising, and improved user interaction. This personalization fosters enhanced user satisfaction and promotes stronger user retention, ultimately driving the growth of the AI in the social media sector as businesses seek to meet these evolving consumer expectations.
Restraints in the Global Ai In Social Media Market
A major constraint facing the global AI in social media market is the heightened concern surrounding data privacy and security. The functionality of AI algorithms often depends on extensive user data to provide tailored experiences, which can trigger privacy apprehensions among users. There have been notable cases of data breaches and the mishandling of personal information, fostering a climate of public distrust. Moreover, the integration of AI into social media platforms necessitates extensive access to user data, leading to ethical dilemmas about data collection, storage, and usage practices. Stricter regulations and an increased awareness of data privacy issues may hinder the advancement of the AI in social media sector.
Market Trends of the Global Ai In Social Media Market
The global AI in Social Media market is witnessing a prominent trend characterized by the accelerating integration of artificial intelligence technologies to optimize platform functionalities. Social media companies are increasingly deploying AI-driven features that enhance personalization, user engagement, and overall experience. Advanced machine learning algorithms analyze intricate user behaviors, preferences, and social interactions, facilitating the delivery of highly targeted advertisements and content recommendations. Additionally, AI chatbots are revolutionizing customer service by providing instantaneous support and efficiently managing inquiries. Furthermore, sentiment analysis tools have emerged as vital assets for businesses, offering profound insights into consumer sentiments, enabling them to adeptly navigate feedback and sentiment trends in real time.