市场调查报告书
商品编码
1466059
社群媒体中的人工智慧市场:按技术、服务、组织规模、应用程式、最终用户产业划分 - 2024-2030 年全球预测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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预计2023年人工智慧社群媒体市场规模将达53.5亿美元,2024年将达64.3亿美元,预计2030年将达201.5亿美元,复合年增长率为20.84%。
社群媒体中的人工智慧(AI)涉及机器学习演算法和旨在模拟人类智慧过程的先进系统的整合和应用。这包括学习和理解使用者偏好、解决问题、决策等等。这些人工智慧技术可以有效地分析大量资料,负责人、广告商和组织可以轻鬆理解和利用这些数据。人们越来越需要监控消费者行为以及对产品、趋势和品牌宣传活动的反应,这正在加速世界各地的企业在社群媒体中使用人工智慧。由于社群媒体影响者数量的增加、社群媒体使用量的增加以及人工智慧和机器学习演算法的快速技术进步,人工智慧 (AI) 在社群媒体中的使用正在扩大。然而,对资料隐私和使用人工智慧的道德影响的担忧可能会造成用户不信任并阻碍最终用户的采用。也就是说,人工智慧在内容自动化中的应用,即人工智慧工具在无需人工参与的情况下生成文字、音频、图像和影片,可能会彻底改变社交媒体行销策略。
主要市场统计 | |
---|---|
基准年[2023] | 53.5亿美元 |
预测年份 [2024] | 64.3亿美元 |
预测年份 [2030] | 201.5亿美元 |
复合年增长率(%) | 20.84% |
机器学习和深度学习技术的大量普及
机器学习和深度学习是旨在模仿人类智慧的人工智慧模型,在塑造社交平臺上的使用者体验方面发挥着重要作用。我们帮助您个人化内容、预测趋势和设计推荐系统。深度学习演算法的结构旨在从社交平台必需的资料中提取高级抽象。自然语言处理 (NLP) 也提供了类似的引人注目的优势。 NLP 使机器能够理解、解释和生成人类语言,从而催生了社交媒体平台上的聊天机器人和情绪分析器等工具。 NLP 可确保更好地理解口语和非正式语言,从而减少误译和沟通不良。这些技术透过实现更个人化、情境化和直觉的互动,不断革新数位体验。
服务:对满足特定业务需求的个人化服务的需求不断增长
社群媒体中人工智慧的託管服务是指第三方供应商对人工智慧系统和基础设施的管理。该服务为企业提供了降低营运成本和提高组织效率的好处。专业服务包括提供与人工智慧相关的系统整合、咨询和支援等服务。这些自订服务对于需要在社群媒体平台上进行资料管理和决策流程的客製化人工智慧解决方案的企业来说至关重要。託管服务提供经济高效且无忧的人工智慧管理。专业服务根据特定业务需求提供高度客自订的人工智慧解决方案。公司根据其特定需求、投资能力和业务目标更喜欢这些服务。
扩大应用预测风险评估的用途
人工智慧在改善社群媒体上的客户体验、帮助收集有价值的客户见解、推动个人化行销策略以及透过聊天机器人提供即时客户支援方面发挥着关键作用。人工智慧的部署应基于必要性,考虑个人消费行为、整体趋势和业务需求。社群媒体中的人工智慧影像识别提供自动脸部辨识和物件辨识等功能。实现影像识别需要考虑个人隐私和资料安全。 AI的预测风险评估能力可以预见潜在的风险和威胁。基于需求的应用程式需要仔细评估内容流程、安全需求和声誉风险。人工智慧驱动的销售和行销应用程式可帮助公司更好地了解受众、预测趋势并推动个人化宣传活动。企业应根据受众定位、客户参与和转换率优化的需求,采用基于人工智慧的销售和行销工具。
终端用户产业:在电子商务领域扩大人工智慧在社群媒体的使用
在银行、金融服务和保险业,人工智慧与社群媒体的整合改善了风险评估、诈骗侦测和客户服务。 BFSI 部门利用基于人工智慧的情绪分析工具来衡量客户满意度和市场趋势。电子商务领域也在发生变化,社群媒体平台上人工智慧驱动的建议引擎可以激励客户购买。在媒体和广告产业,人工智慧透过分析社群媒体上的使用者行为和偏好,帮助个人化有针对性的广告和内容。零售业正在采用人工智慧来推动客户参与并在社群媒体上产生销售。社群媒体中的人工智慧正在透过客製化体验、有针对性的行销和提高业务效率来彻底改变各个行业。
区域洞察
社群媒体中的人工智慧 (AI) 在美洲不断发展,老字型大小企业利用人工智慧来管理用户资讯流和目标广告。欧洲的《一般资料保护规范》鼓励社群媒体平台利用人工智慧来服务和保护用户,并允许欧洲各地的公司使用社群媒体来加速人工智慧的使用。对数位化的日益关注、人工智慧和隐私监管标准的改进、创新技术的广泛采用以及对人工智慧日益增长的兴趣和投资正在为欧洲、中东和非洲地区创造巨大的成长机会。同样,亚太地区正在见证人工智慧驱动的社群媒体互动和经营模式的革命,以及社群媒体平台内容创作趋势的激增——对解决方案的需求不断增加。此外,为社群媒体平台开发新的人工智慧应用程式以为用户提供更好的体验预计将推动世界各地最终用户的采用。
FPNV定位矩阵
FPNV 定位矩阵对于评估社群媒体市场的人工智慧至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对社群媒体市场人工智慧供应商的现状进行深入而详细的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争评估及资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行综合评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1. 社群媒体人工智慧市场的市场规模和预测是多少?
2.在社群媒体市场的人工智慧预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.社群媒体人工智慧市场的技术趋势和法规结构是什么?
4.社群媒体市场人工智慧主要厂商的市场占有率是多少?
5.进入社群媒体人工智慧市场的合适型态和策略手段是什么?
[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?