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市場調查報告書
商品編碼
1953553
社群媒體人工智慧市場-全球產業規模、佔有率、趨勢、機會及預測(按應用、服務、最終用戶、地區和競爭格局分類,2021-2031年)AI in Social Media Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Application, By Service, By End User, By Region & Competition, 2021-2031F |
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全球社群媒體人工智慧市場預計將從 2025 年的 33.4 億美元大幅成長至 2031 年的 145.6 億美元,複合年成長率將達到 27.81%。
這個市場涵蓋了機器學習、自然語言處理和電腦視覺的策略應用,旨在實現內容自動生成、解讀消費行為並最佳化社交平臺上的廣告策略。關鍵成長要素包括對高度個人化定向的需求、對即時自動化客戶服務的需求以及管理海量非結構化用戶資料的需求——所有這些並非曇花一現的趨勢,而是實現長期營運效率和用戶參與度的基礎。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 33.4億美元 |
| 市場規模:2031年 | 145.6億美元 |
| 複合年成長率:2026-2031年 | 27.81% |
| 成長最快的細分市場 | 託管服務 |
| 最大的市場 | 北美洲 |
然而,對資料隱私日益嚴格的審查以及與演算法偏見相關的倫理風險,都阻礙了市場的發展。嚴格的法規結構和合規成本可能會減緩技術的普及,並限制消費者分析的深度,尤其是在資料主權法律嚴格的司法管轄區。儘管存在這些障礙,但隨著企業尋求透過智慧自動化獲得競爭優勢,投資仍然強勁。例如,世界廣告商聯合會 (WFA) 的一份報告預測,到 2024 年,約 63% 的品牌所有者將採用生成式人工智慧來改善內容創作和媒體策劃。
生成式人工智慧在內容創作領域的廣泛應用是市場成長的主要驅動力,它正在改變品牌在競爭激烈的數位環境中保持曝光的方式。為了應對社交平臺對頻繁且多樣化媒體內容的重視,各組織正在利用生成模型自動批量生成文本、圖像和影片,從而在克服資源限制的同時保持用戶參與度。 HubSpot 於 2024 年 3 月發布的《2024 年行銷狀況報告》也印證了這項效率提升,該報告發現,85% 的行銷人員表示,生成式人工智慧顯著提高了內容創作的品質和速度。
同時,對高度個人化內容和建議的需求正在加速市場擴張,迫使企業從廣泛的細分轉向個人化定位。人工智慧演算法現在能夠分析大量的用戶互動數據,並即時最佳化訊息和產品提案,以滿足消費者對跨通路相關性的期望。根據銷售團隊於 2024 年 7 月發布的第九份年度行銷狀況報告,業績卓越的行銷團隊平均透過六個管道與客戶互動,而業績不佳的團隊則使用不到三個管道。受此策略需求的驅動,Sprout Social 在 2025 年 1 月的一項調查顯示,48% 的行銷領導者計劃增加對人工智慧的投資。
對資料隱私的日益嚴格審查以及圍繞演算法偏見的倫理擔憂,對人工智慧在社群媒體領域的廣泛應用構成了重大障礙。企業在尋求利用深度消費者洞察的同時,必須應對錯綜複雜的國際法規,這些法規要求嚴格維護資料主權並獲得使用者同意。這些監管要求迫使企業將大量財務和營運資源投入合規而非創新,減緩了先進人工智慧工具融入行銷流程的速度。同時,嚴格且耗時的檢驗流程對於避免聲譽受損至關重要。
這些道德和法律義務帶來的營運負擔造成了資源瓶頸,阻礙了市場擴張。 2024年,國際隱私專業人員協會(IAPP)報告稱,只有26%的隱私專業人員確信其預算足以應對不斷擴展的職責,例如人工智慧管治。合規資金的匱乏直接抑制了成長,因為企業被迫優先考慮風險緩解和法律合規,而非積極採用新型高速自動化互動技術。
隨著合成媒體詐騙威脅日益加劇,深度造假偽造偵測與內容真實性通訊協定的整合正成為關鍵防禦措施。與生成式創作不同,此趨勢著重於檢驗數位資產的來源,並保護品牌價值免受高明的冒名頂替行為的侵害。隨著人工智慧產生的詐騙行為在社交平臺上的興起,安全解決方案正成為不可或缺的基礎設施。根據McAfee於2025年1月發布的《詐騙世界現狀》報告,到2024年,深度造假詐騙將成長十倍,因此迫切需要能夠即時辨識竄改媒體的偵測技術。
同時,人工智慧驅動的社交電商推薦正在透過將交易功能直接嵌入用戶資訊流來改變零售業。這一趨勢超越了傳統廣告,它利用預測演算法創建個人化店鋪,並實現無縫的應用程式內購買,從而消除購買流程中的摩擦。品牌正積極利用這些引擎將用戶互動轉化為銷售。福布斯2025年7月發表的一篇報導《人工智慧驅動千億美元社交電商崛起》重點強調了這一轉變,該文章報道稱,截至2025年6月的一年中,美國TikTok店舖的銷售額成長了120%。
The Global AI in Social Media Market is projected to expand significantly, rising from USD 3.34 Billion in 2025 to USD 14.56 Billion by 2031, achieving a CAGR of 27.81%. This market encompasses the strategic application of machine learning, natural language processing, and computer vision to automate content generation, interpret consumer behavior, and refine advertising strategies across social platforms. Key growth drivers include the essential need for hyper-personalized targeting, the demand for immediate automated customer service, and the necessity to manage vast amounts of unstructured user data, all of which underpin long-term operational efficiency and engagement rather than fleeting trends.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 3.34 Billion |
| Market Size 2031 | USD 14.56 Billion |
| CAGR 2026-2031 | 27.81% |
| Fastest Growing Segment | Managed Service |
| Largest Market | North America |
However, market progression faces hurdles due to increasing scrutiny over data privacy and the ethical risks associated with algorithmic bias. Strict regulatory frameworks and compliance costs can retard implementation and restrict the depth of consumer analysis, especially in jurisdictions with rigorous data sovereignty laws. Despite these obstacles, investment remains robust as businesses seek competitive edges through intelligent automation; for instance, the World Federation of Advertisers reported that in 2024, nearly 63 percent of brand owners had adopted generative AI to improve content production and media planning.
Market Driver
The widespread adoption of generative AI for content creation has become a major catalyst for market growth, transforming how brands maintain visibility in a crowded digital environment. To keep pace with social platforms that favor frequent and diverse media, organizations are utilizing generative models to automate the production of text, images, and videos at scale, thereby overcoming resource limitations while sustaining engagement. This efficiency is underscored by HubSpot's 'State of Marketing Report 2024' from March 2024, in which 85 percent of marketers reported that generative AI significantly enhanced both the quality of their content and the speed of production.
Simultaneously, the demand for hyper-personalized content and recommendations is accelerating market expansion, pushing companies to shift from broad segmentation to individual-level targeting. AI algorithms now analyze extensive user interaction data to tailor messages and product suggestions in real-time, satisfying consumer expectations for relevance across various channels. According to Salesforce's '9th State of Marketing Report' from July 2024, high-performing marketing teams engage customers across an average of six channels compared to fewer than three for lower performers, a strategic imperative that prompted 48 percent of marketing leaders to plan increased AI investments, as noted by Sprout Social in January 2025.
Market Challenge
Heightened scrutiny regarding data privacy and the ethical concerns surrounding algorithmic bias presents a substantial obstacle to the scalable implementation of AI in social media. As corporations strive to utilize deep consumer insights, they must navigate a complex array of global regulations requiring strict data sovereignty and user consent. These regulatory demands compel companies to divert significant financial and operational resources toward compliance rather than innovation, effectively slowing the integration of advanced AI tools into marketing workflows while the risk of reputational harm necessitates rigorous, time-consuming validation processes.
The operational weight of these ethical and legal obligations creates a resource bottleneck that impedes market expansion. In 2024, the International Association of Privacy Professionals (IAPP) reported that only 26 percent of privacy professionals felt confident their budgets were sufficient to manage expanding responsibilities, such as AI governance. This funding deficit for compliance directly hinders growth, as organizations are forced to prioritize risk mitigation and legal adherence over the aggressive deployment of new, high-velocity automated engagement technologies.
Market Trends
The integration of deepfake detection and content authenticity protocols is emerging as a vital defense against the rising threat of synthetic media fraud. Distinct from the use of generative tools for creation, this trend focuses on verifying the provenance of digital assets to protect brand integrity from sophisticated impersonation. As AI-generated scams multiply on social platforms, security solutions are becoming essential infrastructure; according to McAfee's 'State of the Scamiverse' report from January 2025, deepfake scams increased tenfold in 2024, driving urgent demand for detection technologies capable of identifying manipulated media in real-time.
Concurrently, the rise of AI-driven social commerce recommendations is reshaping retail by embedding transactional features directly into user feeds. This trend surpasses traditional advertising by using predictive algorithms to curate personalized storefronts and enable seamless in-app purchasing, thereby eliminating friction in the buying process. Brands are increasingly leveraging these engines to convert engagement into sales, a shift highlighted by Forbes in July 2025 in the article 'AI Is Fueling A $100 Billion Boom In Social Commerce,' which noted that TikTok Shop sales in the US rose by 120 percent in the year leading up to June 2025.
Report Scope
In this report, the Global AI in Social Media Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global AI in Social Media Market.
Global AI in Social Media Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: