市場調查報告書
商品編碼
1466059
社群媒體中的人工智慧市場:按技術、服務、組織規模、應用程式、最終用戶產業分類 - 2024-2030 年全球預測Artificial Intelligence in Social Media Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Service (Managed Service, Professional Service), Organization Size, Application, End-User Industry - Global Forecast 2024-2030 |
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預計2023年人工智慧社群媒體市場規模將達53.5億美元,2024年將達64.3億美元,預計2030年將達201.5億美元,複合年成長率為20.84%。
社群媒體中的人工智慧(AI)涉及機器學習演算法和旨在模擬人類智慧過程的先進系統的整合和應用。這包括學習和理解使用者偏好、解決問題、決策等等。這些人工智慧技術可以有效地分析大量資料,負責人、廣告商和組織可以輕鬆理解和利用這些數據。人們越來越需要監控消費者行為以及對產品、趨勢和品牌宣傳活動的反應,這正在加速世界各地的企業在社群媒體中使用人工智慧。由於社群媒體影響者數量的增加、社群媒體使用量的增加以及人工智慧和機器學習演算法的快速技術進步,人工智慧 (AI) 在社群媒體中的使用正在擴大。然而,對資料隱私和使用人工智慧的道德影響的擔憂可能會造成用戶不信任並阻礙最終用戶的採用。也就是說,人工智慧在內容自動化中的應用,即人工智慧工具在無需人工參與的情況下生成文字、音頻、圖像和影片,可能會徹底改變社交媒體行銷策略。
主要市場統計 | |
---|---|
基準年[2023] | 53.5億美元 |
預測年份 [2024] | 64.3億美元 |
預測年份 [2030] | 201.5億美元 |
複合年成長率(%) | 20.84% |
機器學習和深度學習技術的大量普及
機器學習和深度學習是旨在模仿人類智慧的人工智慧模型,在塑造社交平臺上的使用者體驗方面發揮著重要作用。我們幫助您個人化內容、預測趨勢和設計推薦系統。深度學習演算法的結構旨在從社交平台必需的資料中提取高級抽象。自然語言處理 (NLP) 也提供了類似的引人注目的優勢。 NLP 使機器能夠理解、解釋和生成人類語言,從而催生了社交媒體平台上的聊天機器人和情緒分析器等工具。 NLP 可確保更好地理解口語和非正式語言,從而減少誤譯和溝通不良。這些技術透過實現更個人化、情境化和直覺的互動,不斷革新數位體驗。
服務:對滿足特定業務需求的個人化服務的需求不斷成長
社群媒體中人工智慧的託管服務是指第三方供應商對人工智慧系統和基礎設施的管理。該服務為企業提供了降低營運成本和提高組織效率的好處。專業服務包括提供與人工智慧相關的系統整合、諮詢和支援等服務。這些自訂服務對於需要在社群媒體平台上進行資料管理和決策流程的客製化人工智慧解決方案的企業來說至關重要。託管服務提供經濟高效且無憂的人工智慧管理。專業服務根據特定業務需求提供高度客自訂的人工智慧解決方案。公司根據其特定需求、投資能力和業務目標更喜歡這些服務。
擴大應用預測風險評估的用途
人工智慧在改善社群媒體上的客戶體驗、幫助收集有價值的客戶見解、推動個人化行銷策略以及透過聊天機器人提供即時客戶支援方面發揮著關鍵作用。人工智慧的部署應基於必要性,考慮個人消費行為、整體趨勢和業務需求。社群媒體中的人工智慧影像識別提供自動臉部辨識和物件辨識等功能。實現影像識別需要考慮個人隱私和資料安全。 AI的預測風險評估能力可以預見潛在的風險和威脅。基於需求的應用程式需要仔細評估內容流程、安全需求和聲譽風險。人工智慧驅動的銷售和行銷應用程式可幫助公司更好地了解受眾、預測趨勢並推動個人化宣傳活動。企業應根據受眾定位、客戶參與和轉換率最佳化的需求,採用基於人工智慧的銷售和行銷工具。
終端用戶產業:在電子商務領域擴大人工智慧在社群媒體的使用
在銀行、金融服務和保險業,人工智慧與社群媒體的整合改善了風險評估、詐騙偵測和客戶服務。 BFSI 部門利用基於人工智慧的情緒分析工具來衡量客戶滿意度和市場趨勢。電子商務領域也在發生變化,社群媒體平台上人工智慧驅動的建議引擎可以激勵客戶購買。在媒體和廣告產業,人工智慧透過分析社群媒體上的使用者行為和偏好,幫助個人化有針對性的廣告和內容。零售業正在採用人工智慧來推動客戶參與並在社群媒體上產生銷售。社群媒體中的人工智慧正在透過客製化體驗、有針對性的行銷和提高業務效率來徹底改變各個行業。
區域洞察
社群媒體中的人工智慧 (AI) 在美洲不斷發展,老字型大小企業利用人工智慧來管理用戶資訊流和目標廣告。歐洲的《一般資料保護規範》鼓勵社群媒體平台利用人工智慧來服務和保護用戶,並允許歐洲各地的公司使用社群媒體來加速人工智慧的使用。對數位化的日益關注、人工智慧和隱私監管標準的改進、創新技術的廣泛採用以及對人工智慧日益成長的興趣和投資正在為歐洲、中東和非洲地區創造巨大的成長機會。同樣,亞太地區正在見證人工智慧驅動的社群媒體互動和經營模式的革命,以及社群媒體平台內容創作趨勢的激增——對解決方案的需求不斷增加。此外,為社群媒體平台開發新的人工智慧應用程式以為用戶提供更好的體驗預計將推動世界各地最終用戶的採用。
FPNV定位矩陣
FPNV 定位矩陣對於評估社群媒體市場的人工智慧至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對社群媒體市場人工智慧供應商的現狀進行深入而詳細的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4.競爭評估及資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行綜合評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1. 社群媒體人工智慧市場的市場規模和預測是多少?
2.在社群媒體市場的人工智慧預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3.社群媒體人工智慧市場的技術趨勢和法規結構是什麼?
4.社群媒體市場人工智慧主要廠商的市場佔有率是多少?
5.進入社群媒體人工智慧市場的合適型態和策略手段是什麼?
[198 Pages Report] The Artificial Intelligence in Social Media Market size was estimated at USD 5.35 billion in 2023 and expected to reach USD 6.43 billion in 2024, at a CAGR 20.84% to reach USD 20.15 billion by 2030.
Artificial Intelligence (AI) in social media involves the integration and application of machine learning algorithms and sophisticated systems designed to simulate human intelligence processes. These include learning and understanding user preferences, problem-solving, and decision-making. These AI technologies can efficiently analyze enormous amounts of data that can be easily understood and leveraged by marketers, advertisers, and organizations. The growing need to monitor consumer behavior and reaction to products, trends, and brand campaigns is accelerating the use of artificial intelligence in social media by businesses globally. The growth of social media influencers, rising social media usage, and the rapid technological advancements in AI and machine learning algorithms are expanding the use of artificial Intelligence (AI) in social media. However, concerns over data privacy and the ethical implications of AI usage can generate mistrust among users and impede their adoption by end-users. Nonetheless, the application of AI in content automation, where AI tools generate text, speech, images, or videos without human involvement, can potentially revolutionize social media marketing strategies.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 5.35 billion |
Estimated Year [2024] | USD 6.43 billion |
Forecast Year [2030] | USD 20.15 billion |
CAGR (%) | 20.84% |
Technology: Significant penetration of machine learning & deep learning
Machine Learning and Deep Learning, artificially intelligent models designed to mimic human intelligence, play a primary role in molding the user experience on social platforms. They aid in personalizing content, predicting trends, and designing recommendation systems. Deep learning algorithms have structures designed to extract high-level abstractions from data, which is essential for social platforms. Natural Language Processing (NLP) offers an equally compelling advantage. NLP allows machines to understand, interpret, and generate human language, thus giving rise to tools such as chatbots and sentiment analyzers on social media platforms. NLP ensures a better understanding of colloquial and informal language, leading to less misinterpretation and miscommunication. These technologies continue revolutionizing digital experiences By allowing more personalized, contextual, and intuitive interactions.
Service: Rising demand for personalized services to cater to specific business needs
Managed services in AI in social media refer to the management of AI systems and infrastructure by a third-party provider. This service offers businesses the advantage of reducing operational costs and improving organizational efficiency. Professional services encapsulate service offerings such as system integration, consulting, and support related to AI. These are custom services essential for businesses that require unique, tailored AI solutions for data management and decision-making processes on social media platforms. Managed Service offers cost-effectiveness and hassle-free AI management. Professional service provides highly custom AI solutions based on specific business needs. Businesses prefer these services based on their specific needs, investment capabilities, and business objectives.
Application: Proliferating use for predictive risk assessment
AI plays a vital role in improving customer experience on social media and aids in gathering valuable customer insights, driving personalized marketing strategies, and providing real-time customer support with chatbots. Implementing AI should be need-based, considering individual consumer behavior, prevailing trends, and business needs. Image recognition powered by AI in social media offers capabilities such as automatic face recognition and object identification. Personal privacy and data security considerations are required to implement image recognition. AI's predictive risk assessment capabilities can foresee potential risks or threats, a critical application in moderating content on social media platforms. A need-based application would require careful assessment of content processes, security needs, and reputational risks. AI-powered sales and marketing applications help businesses better understand their audience, predict trends, and drive personalized campaigns. Companies should adopt AI-based sales and marketing tools based on their need for audience targeting, customer engagement, and conversion ratio optimization.
End-User Industry: Expanding applications of AI in social media in the eCommerce sector
In the Banking, Financial Services, & Insurance industry, AI integration in social media has improved risk assessment, fraud detection, and customer service. The BFSI sector leverages AI-based sentiment analysis tools to gauge customer satisfaction and market trends. The E-Commerce segment has also been transformed by AI-powered recommendation engines on social media platforms to drive customer purchases. In Media & Advertising, AI analysis of user behavior and preferences on social media has facilitated targeted ads and content personalization. The Retail industry employs AI to drive customer engagement and generate sales on social media. AI in social media has revolutionized various industry sectors through customized experiences, targeted marketing, and improved operational efficiency.
Regional Insights
Artificial Intelligence (AI) in social media is evolving in the Americas owing to well-established companies leveraging AI to curate user feeds and target adverts. Europe's General Data Protection Regulation has encouraged social media platforms to use AI to serve and protect users, accelerating the use of AI in social media by businesses across Europe. Rising emphasis on digitalization, well-regulated standards on AI and privacy, increasing adoption of innovative technologies, and heightened interest and investment in AI present significant growth opportunities in the EMEA region. Similarly, the Asia-Pacific region is experiencing a revolution in AI-driven social media interactions and business models and an upsurging trend of content creation on social media platforms, raising demand for AI-based social media solutions. Besides, the development of new AI applications for social media platforms to provide users with better experiences is anticipated to propel their use by end-users across the globe.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Social Media Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Social Media Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Social Media Market, highlighting leading vendors and their innovative profiles. These include Aarzoo, Inc., Acrolinx GmbH, AI21 Labs, Amazon Web Services, Inc., Baidu, Inc., Buffer, Inc, Cisco Systems, Inc., Cision Ltd., ContentStudio Inc., Flick.Tech Ltd., Google LLC by Alphabet Inc., Hootsuite Inc., International Business Machines Corporation, Lately, Inc., Meta Platforms, Inc., Microsoft Corporation, MURF.AI, Oracle Corporation, Salesforce, Inc., SAP SE, SC SocialBee Labs SRL, Socinator, Stockimg.ai, STORYLAB.AI, and Zapier Inc..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Artificial Intelligence in Social Media Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Social Media Market?
3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Social Media Market?
4. What is the market share of the leading vendors in the Artificial Intelligence in Social Media Market?
5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Social Media Market?