社交媒体中的人工智能市场概览、增长、趋势、分析、研究报告(2025-2031)

  • Report Code : TIPRE00039711
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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预计社交媒体市场中的人工智能在 2025 年至 2031 年期间的复合年增长率将达到 35.7%,市场规模将从 2024 年的 XX 百万美元扩大到 2031 年的 XX 百万美元。

该报告按技术(自然语言处理 (NLP)、计算机视觉、语音识别和生成、机器人流程自动化 (RPA)、其他)、部署(云、本地)、组织规模(大型企业、中小企业)进行细分。全球分析进一步细分为区域和主要国家。报告以美元为单位,提供了上述分析和细分的价值。

报告目的

Insight Partners 发布的《社交媒体市场中的人工智能》报告旨在描述当前的格局和未来的增长、主要驱动因素、挑战和机遇。这将为各业务利益相关者提供见解,例如:

  • 技术提供商/制造商:了解不断变化的市场动态并了解潜在的增长机会,使他们能够做出明智的战略决策。
  • 投资者:对市场增长率、市场财务预测以及整个价值链中存在的机会进行全面的趋势分析。
  • 监管机构:规范市场政策和警察活动,旨在最大限度地减少滥用行为,维护投资者的信任和信心,维护市场的完整性和稳定性。

 

社交媒体市场细分中的人工智能

 

技术

  • 自然语言处理
  • 计算机视觉
  • 语音识别与生成
  • 机器人流程自动化

部署

  • 本地

组织规模

  • 大型企业
  • 中小企业

地理

  • 北美
  • 欧洲
  • 亚太地区
  • 中东和非洲
  • 南美洲和中美洲

 

定制此报告以满足您的要求

您可以免费定制任何报告,包括本报告的部分内容、国家级分析、Excel 数据包,以及为初创企业和大学提供优惠和折扣

社交媒体市场中的人工智能:战略洞察

AI in Social Media Market
  • 获取此报告的顶级关键市场趋势。
    此免费样品将包括数据分析,从市场趋势到估计和预测。

 

社交媒体市场增长动力中的人工智能

  • 监管合规压力:全球监管机构日益严格的审查,迫使企业实施强大的人工智能模型风险管理框架。欧盟《人工智能法案》、中国人工智能法规以及各行业指南等法规均要求企业确保其人工智能模型透明、公平且可追溯。金融机构尤其面临美联储和欧洲央行等监管机构的严格要求,需要验证和监控其人工智能/机器学习模型。这种监管环境促使企业投资全面的模型风险管理解决方案,以帮助他们证明合规性、记录模型开发流程,并维护模型性能和验证工作的审计线索。
  • 模型复杂性和规模不断增长:人工智能模型在业务职能领域的快速普及,加上模型复杂性的不断提升,正在带来前所未有的风险管理挑战。企业正在部署数百甚至数千个模型,涵盖贷款、交易、欺诈检测和客户服务等关键职能,从简单的统计模型到复杂的深度学习系统。这些模型通常相互作用,产生错综复杂的依赖关系,并放大潜在风险。现代人工智能系统的规模和复杂性使得传统的手动风险管理方法难以为继,这推动了对能够大规模处理模型库存管理、风险评估、验证和监控的自动化解决方案的需求。
  • 现实世界中的人工智能故障与声誉风险:备受瞩目的人工智能模型故障和结果偏差事件凸显了模型风险管理不足所带来的声誉和财务风险。歧视性贷款算法、造成重大损失的交易模型以及人工智能系统在医疗保健和招聘领域做出带有偏见的决策等案例,都表明了模型风险的严重后果。这些事件提高了董事会对人工智能治理的关注,并迫切需要实施强有力的风险管理框架。组织越来越认识到,保护自身声誉并维护利益相关者的信任需要主动识别和降低模型风险。

社交媒体市场人工智能的未来趋势

  • 自动化模型验证工具:市场正经历着向自动化模型验证解决方案的强劲转变,这些解决方案能够简化并加速验证流程。这些工具利用高级分析技术自动测试模型性能、识别潜在偏差、评估模型漂移并验证模型文档。它们集成了自动化模型测试、性能监控仪表盘和验证工作流管理等功能。这种自动化趋势源于对更高效地验证模型的需求,同时保持验证流程的一致性和完整性。企业尤其关注能够帮助他们验证复杂 AI/ML 模型的解决方案,而传统的验证方法可能无法满足这些需求。
  • 集成风险管理平台:越来越多的组织寻求能够以集成方式管理模型风险各个方面的综合平台,而非使用各自独立的单点解决方案。这些平台通常将模型库存管理、风险评估、验证、监控和报告功能整合到一个解决方案中。目前趋势是,平台能够提供模型生命周期的端到端可视性,涵盖从开发到部署以及持续监控的各个环节。这种集成能够实现更完善的风险监督、提升团队协作,并提高合规报告的效率。供应商正在积极响应这一趋势,开发更全面的解决方案,作为模型风险管理的单一事实来源。

社交媒体市场机遇中的人工智能

  • 基于云的 MRM 解决方案:向云计算的转变为 AI 模型风险管理解决方案带来了重大机遇。与传统的本地解决方案相比,基于云的平台可以提供可扩展性、灵活性和成本优势。它们可以更轻松地处理验证和监控复杂 AI 模型的计算需求,同时支持跨地域团队的协作。市场对能够与现有云基础设施集成并提供实时监控功能的云原生解决方案的需求日益增长。对于正在经历数字化转型并希望实现风险管理基础设施现代化的组织而言,这一机遇尤为重要。
  • 行业特定解决方案:针对特定行业(例如银行、保险、医疗保健和制造业)量身定制的专业模型风险管理解决方案的商机日益增长。不同行业对 AI 模型有着独特的监管要求、风险状况和用例。融合行业特定验证框架、风险评估方法和合规性要求的解决方案可以带来显著的价值。例如,银行特定解决方案可能侧重于信用风险模型和监管合规性,而医疗保健解决方案则可能强调患者隐私和临床验证要求。

 

社交媒体市场区域洞察中的人工智能

Insight Partners 的分析师详细阐述了预测期内影响社交媒体市场人工智能的区域趋势和因素。本节还讨论了北美、欧洲、亚太地区、中东和非洲以及南美和中美洲社交媒体市场人工智能的各个细分市场和地域。

AI in Social Media Market
  • 获取社交媒体市场人工智能的区域特定数据

社交媒体市场中的人工智能报告范围

报告属性细节
2024年的市场规模XX百万美元
2031年的市场规模XX百万美元
全球复合年增长率(2025-2031)35.7%
史料2021-2023
预测期2025-2031
涵盖的领域按技术
  • 自然语言处理
  • 计算机视觉
  • 语音识别与生成
  • 机器人流程自动化
按部署
  • 本地
按组织规模
  • 大型企业
  • 中小企业
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 微软
  • IBM
  • 思科
  • AWS
  • 谷歌
  • Adobe
  • HubSpot
  • 百度
  • Aspire.io

 

社交媒体市场参与者密度中的人工智能:了解其对商业动态的影响

社交媒体市场中的人工智能 (AI) 市场正在快速增长,这得益于终端用户需求的不断增长,而这些需求的驱动因素包括消费者偏好的演变、技术进步以及对产品优势的认知度不断提升。随着需求的增长,企业正在扩展其产品线,不断创新以满足消费者需求,并抓住新兴趋势,从而进一步推动市场增长。

市场参与者密度是指特定市场或行业内企业或公司的分布情况。它表明特定市场空间内竞争对手(市场参与者)的数量相对于其规模或总市值而言。

在社交媒体市场中运营人工智能的主要公司有:

  1. 微软
  2. IBM
  3. 思科
  4. AWS
  5. 谷歌

免责声明以上列出的公司没有按照任何特定顺序排列。


AI in Social Media Market

 

  • 获取社交媒体市场人工智能顶级关键参与者概览

 

 

主要卖点

 

  • 全面覆盖:该报告全面涵盖了社交媒体市场中人工智能的产品、服务、类型和最终用户的分析,提供了整体概况。
  • 专家分析:本报告基于对行业专家和分析师的深入了解而编写。
  • 最新信息:该报告涵盖了最新信息和数据趋势,确保了业务相关性。
  • 定制选项:此报告可以定制以满足特定客户要求并适合业务策略。

因此,这份关于社交媒体市场人工智能的研究报告,有助于引领我们解读和理解行业现状及增长前景。尽管存在一些合理的担忧,但这份报告的总体优势往往大于劣势。

  • 历史分析(2 年)、基准年、预测(7 年)及复合年增长率
  • PEST 和 SWOT 分析
  • 市场规模价值/数量 - 全球、区域、国家
  • 行业和竞争格局
  • Excel 数据集
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Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

常见问题


What are the options available for the customization of this report?

Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility

What are the deliverable formats of the market report?

The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request

What are the future trends of the AI in social media market?

AI-driven content creation and increased focus on data privacy and ethics are anticipated to play a significant role in the global AI in social media market in the coming years

What are the driving factors impacting the global AI in social media market?

Growing demand for personalization and advancements in AI technology are the major factors driving the AI in social media market.

What is the expected CAGR of the AI in social media market?

The global AI in social media market is expected to grow at a CAGR of 35.7% during the forecast period 2024 - 2031.

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ai-in-social-media-market-cagr

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.