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全球人工智慧 (AI) 社群媒体市场 - 2023-2030
市场调查报告书
商品编码
1360033

全球人工智慧 (AI) 社群媒体市场 - 2023-2030

Global Artificial Intelligence (AI) in Social Media Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 198 Pages | 商品交期: 约2个工作天内

价格

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简介目录

概述 ：

2022年，社群媒体市场中的全球人工智慧(AI)市场规模达到11亿美元，预计2030年将达到118亿美元，2023-2030年预测期间复合年增长率为28.4%。

社群媒体平台每天每秒都会产生大量文字、图像和影片形式的资料。人工智慧可以处理和分析各种规模的资料，为使用者和企业提供有价值的见解。人工智慧也透过个人搜寻内容分析客户的行为，然后提供建议和广告，以提高用户参与度和满意度。

例如，2023 年 3 月 6 日，Snapchat 推出了一项名为「My AI」的新功能，这是一个由 OpenAI 的 ChatGPT 提供支援的聊天机器人。 My AI 让 Snapchat 用户与聊天机器人互动，并与 Meta、Spotify 和 YouTube 等其他社交网路平台一起整合人工智慧，以增强用户参与度。 Snapchat+ 提供对 My AI 的首次存取以及其他功能，月费为 3.99 美元，这使其成为比独立的 ChatGPT Pro 订阅更具成本效益的选择。

亚太地区是全球人工智慧(AI) 在社群媒体市场中不断成长的地区之一，涵盖了超过1/3 的市场，该地区拥有庞大且多样化的人口，其中很大一部分人积极使用社群媒体平台，而这个庞大的地区用户群产生大量资料，人工智慧系统可以利用这些数据进行各种应用，并且互联网正在快速普及，特别是在农村地区，这种扩大的连接性为个人访问和参与社交媒体提供了更多机会，从而创建了更大的资料池。

动态：

政府措施提振市场

人工智慧技术的进步，包括自然语言处理、电脑视觉和机器学习，政府探索在社群媒体中利用人工智慧实现不同目的的创新方法。政府越来越认识到在社群媒体平台上与年轻人和公民互动的重要性，其中人工智慧驱动的聊天机器人也可以处理公众查询。

例如，2023 年 5 月 30 日，奥里萨邦首席部长发起了「奥里萨邦人工智慧」和「青年人工智慧」倡议，这些倡议旨在促进该州年轻人的人工智慧教育和意识。州政府已与国际科技公司英特尔合作实施此一措施。 「奥里萨邦人工智慧」计画包括英特尔在其应用程式和网站上提供的 4 小时免费人工智慧课程，该计画预计将使奥里萨邦处于印度各邦人工智慧教育和采用的前沿。

社群媒体用户数量不断增加

由于技术的发展，世界各地的人们可以更轻鬆地访问社交媒体平台，并且可以轻鬆存取互联网和增强的连接基础设施。随着越来越多的用户有机会参与社交网络，互联网的使用量也在增加。智慧型手机使用的增加使得社交媒体可以在便携式设备上广泛使用。用户可以轻鬆下载社交网路程序，这些因素推动了市场的发展。

例如，2023年6月，根据smart Insights的数据，约有60%的人口使用社群媒体，使用者平均每天使用时间为2小时24分钟。 Facebook 几乎是一种常规资源，女性向男性发送的新闻数量增加了一倍，年龄主要集中在18 至29 岁之间。Facebook 的数据显示，2023 年1 月，该公司每月有29.3 亿用户，增至3900 万。约 53 亿用户至少使用一款元应用程式。

公司间的合作推动市场发展

协作使企业能够将他们在社交媒体和人工智慧方面的知识和专业知识结合起来，从而创建更复杂和原创的解决方案。透过协作可以获得新资源，例如资料、专业知识和技术。这些资源通常对于人工智慧专案的成功至关重要。透过结合不同公司的优势和人才，可以产生协同效应，从而产生更强大、更全面的人工智慧解决方案。

例如，2022 年 9 月 29 日，亚马逊网路服务和 SK Telecom 合作开发了一套新的电脑视觉服务，旨在让客户更轻鬆、更具成本效益地建立、使用和扩展电脑视觉应用程式。此次合作将结合 SK Telecom 的人工智慧模型（经过 10 多年的匿名视讯资料训练）与AWS 的边缘服务、物联网、资料库和储存功能，为组织提供安全且灵活的框架，用于建立自订电脑视觉应用程序，这些应用程式可以处理和在边缘、云端或本地分析资料。

有偏见的建议和传播错误讯息

人工智慧演算法可以继承训练资料中存在的偏见，导致有偏见的推荐和内容审核决策，这可能会延续社会不平等和歧视。人工智慧系统通常需要存取用户资料，引发了对资料隐私和安​​全的担忧。用户可能担心他们的个人资讯被用于分析或定位。人工智慧驱动的推荐演算法可以透过向用户展示与他们已经相信的内容相似的内容来创建迴声室，从而限制他们接触不同的观点。

人工智慧可能会被不道德地用于传播错误讯息、深度伪造和操纵，从而引发道德困境。为大型社群媒体平台建立和训练人工智慧模型可能需要大量运算且成本高昂。人工智慧演算法的内部运作通常是专有的，这使得用户很难理解内容是如何被过滤和推荐的。过度依赖人工智慧来提供客户支援和互动可能会导致用户疏远，因为一些用户更喜欢人际互动。

目录

第 1 章：方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章：定义与概述

第 3 章：执行摘要

  • 技术片段
  • 按组件分類的片段
  • 按企业规模分類的片段
  • 按应用程式片段
  • 最终使用者的片段
  • 按地区分類的片段

第 4 章：动力学

  • 影响因素
    • 司机
      • 政府措施提振市场
      • 社群媒体用户数量不断增加
      • 公司间的合作推动市场发展
    • 限制
      • 有依据的建议和传播错误讯息
    • 影响分析

第 5 章：产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • 俄乌战争影响分析
  • DMI 意见

第 6 章：COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆发前的情景
    • 新冠疫情期间的情景
    • 新冠疫情后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章：按技术

  • 机器学习和深度学习
  • 自然语言处理
  • 电脑视觉
  • 其他的

第 8 章：按组件

  • 解决方案
  • 服务

第 9 章：按企业规模

  • 中小企业
  • 大型企业

第 10 章：按应用

  • 销售和行销
  • 客户体验管理
  • 预测风险评估
  • 其他的

第 11 章：最终用户

  • 零售与电子商务
  • 银行、金融服务和保险
  • 媒体与广告
  • 教育
  • 其他的

第 12 章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第13章：竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 14 章：公司简介

  • Adobe Systems Incorporated
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Baidu, Inc.
  • Salesforce,Inc.
  • Snapchat Inc.
  • Google Inc.
  • International Business Machines Corp.
  • Hootsuite Media, Inc.
  • Meta Platforms, Inc.
  • Twitter, Inc.
  • Vidora Inc.

第 15 章：附录

简介目录
Product Code: ICT7005

Overview:

Global Artificial Intelligence (AI) in Social Media Market reached US$ 1.1 billion in 2022 and is expected to reach US$ 11.8 billion by 2030, growing with a CAGR of 28.4% during the forecast period 2023-2030.

Social media platforms generate large amounts of data daily in each and every second which is in the form of text, images and videos. AI can process and analyze data at every scale which provides valuable insights for users and businesses. AI also analyzes customers' behavior through their personal search content and then provides recommendations and advertisements that enhance user engagement and satisfaction.

For instance, on 6 March 2023, Snapchat introduced a new feature called "My AI," which is a chatbot powered by OpenAI's ChatGPT. My AI allows Snapchat users to engage with the chatbot and join other social networking platforms like Meta, Spotify and YouTube in integrating artificial intelligence to enhance user engagement. Snapchat+ offers first access to My AI along with other features for a monthly fee of $3.99, making it a more cost-effective option than the standalone ChatGPT Pro subscription.

Asia-Pacific is among the growing regions in the global artificial intelligence (AI) in social media market covering more than 1/3rd of the market and region has a massive and diverse population, with a significant portion actively using social media platforms and this vast user base generates a wealth of data that can be leveraged by AI systems for various applications and are experiencing rapid internet penetration, particularly in rural areas, this expanded connectivity provides more opportunities for individuals to access and engage with social media, creating a larger data pool.

Dynamics:

Government Initiatives Boost the Market

Advancement in AI technologies that includes natural language processing, computer vision and machine learning in which the government explores innovative ways to leverage AI in social media for different purposes. The government increasingly recognizes the importance of engaging with youths and citizens on social media platforms, in which AI-powered chatbots are also there to handle public queries.

For instance, on 30 May 2023, Odisha's Chief Minister launched the 'Odisha for Artificial Intelligence' and 'Artificial Intelligence for Youth' initiatives and these initiatives aim to promote AI education and awareness among the youth in the state. The State Government has partnered with international technology company Intel for this initiative. The 'Odisha for AI' initiative includes a free 4-hour course on AI offered by Intel on its app and website, this initiative is expected to put Odisha at the forefront of AI education and adoption among Indian states.

Rising Number of Social Media Users

People around the globe have easier access to social media platforms because of the development in the technologies and easily accessible to the internet and enhanced connectivity infrastructure. As more users have an opportunity that get involved in social networks there is a rise in internet usage. The increased use of smartphones has made social media widely accessible on portable devices. Users can easily download social networking programs and these factors boost the market.

For instance, in June 2023, According to smart insights, around 60% of the population uses social media and the average user daily usage is 2 hours and 24 minutes. Facebook is a nearly regular resource that doubles the amount of news from women to men and is aged mainly between 18 and 29. In January 2023, According to Facebook, it had 2.93 billion monthly users which increased up to 39 Million. Around 5.3 Billion users use at least one meta app.

Collaboration Between Companies Boosts the Market

Collaboration allows businesses to combine their knowledge and expertise in social media and AI which results in the creation of more sophisticated and original solutions. Access to new resources, like as data, expertise and technology, may be made possible through collaboration. Such resources are often essential to the success of AI projects. Synergies that result in more robust and all-encompassing AI solutions can be created by combining the strengths and talents of various companies.

For instance, on 29 September 2022, Amazon Web Services and SK Telecom collaborated for developing a new set of computer vision services aimed at making it easier and more cost-effective for customers to build, use and scale computer vision applications. The collaboration will combine SK Telecom's artificial intelligence models, trained on over 10 years of anonymized video data, with AWS's edge services, IoT, database and storage capabilities to provide organizations with a secure and flexible framework for building custom computer vision applications that can process and analyze data at the edge, in the cloud or on-premises.

Biased Recommendations and Spreading Misinformation

AI algorithms can inherit biases present in training data, leading to biased recommendations and content moderation decisions and this can perpetuate social inequalities and discrimination. AI systems often require access to user data, raising concerns about data privacy and security. Users may worry about their personal information being used for profiling or targeting. AI-driven recommendation algorithms can create echo chambers by showing users content similar to what they already believe, limiting exposure to diverse perspectives.

AI can be used unethically for spreading misinformation, deepfakes and manipulation, raising ethical dilemmas. Building and training AI models for large social media platforms can be computationally intensive and expensive. The inner workings of AI algorithms are often proprietary, making it challenging for users to understand how content is filtered and recommended. Overreliance on AI for customer support and interactions can lead to user alienation, as some users prefer human interaction.

Segment Analysis:

The global artificial intelligence (AI) in social media market is segmented based on technology, component, enterprise size, application, end-user and region.

Growth in Social Media Solutions Boosts the Market

The huge volume of data generated on social media platforms is enormous. AI can process and analyze this data at a scale and speed that would be impossible for humans, extracting valuable insights and trends. Users expect personalized content and recommendations. AI algorithms can analyze user behavior and preferences to provide personalized content, advertisements and recommendations, leading to higher user engagement.

For instance, on 18 September 2023, Lumina Datamatics introduced its Artificial Intelligence (AI) Services for Publishers, aiming to provide various benefits to publishersLumina Datamatics' AI algorithms can automatically interpret, summarize, categorize and enrich content, making it more user-friendly and discoverable and this can significantly improve the overall user experience on publishing platforms. For educational publishers, AI can enhance the quality of assessment development. Automated processes can help create more robust and accurate assessment materials.

Geographical Penetration:

Growing Concern for Data Privacy and Security Boosts the Market

North America is dominating the global artificial intelligence (AI) in social media market and the region has also seen a growing concern for data privacy and security, leading to the development of AI systems that can detect and mitigate threats, such as identifying fake accounts and preventing cyberbullying. Advertisers are increasingly using AI to optimize their social media ad campaigns. AI-driven algorithms can target the right audience, optimize ad spending and measure campaign performance more effectively.

For instance, on 4 September 2023, X, the social media platform formerly known as Twitter, updated its privacy policy to state that it may use user posts to train its AI models. However, the company has clarified that private data, such as text in direct messages, will not be used for this purpose. The change in policy aligns with owner Elon Musk's plans to use Twitter data to support researchers and engineers at his startup, xAI, in developing new products.

Competitive Landscape

The major global players in the market include: Adobe Systems Incorporated, Baidu, Inc., Salesforce,Inc., Snapchat Inc., Google Inc., International Business Machines Corp., Hootsuite Media, Inc., Meta Platforms, Inc., Twitter, Inc. and Vidora Inc.

COVID-19 Impact Analysis

During lockdowns and social distancing measures, people turned to social media for connection, information and entertainment and this surge in user activity provided more data for AI algorithms to analyze and learn from. physical stores restricted, e-commerce and online shopping witnessed significant growth. AI-driven recommendation engines on social media platforms played a crucial role in suggesting products to users, contributing to the growth of online retail.

Businesses and individuals increasingly rely on social media platforms for remote work, collaboration and communication. AI-powered chatbots and virtual assistants became essential tools for handling inquiries and tasks. The pandemic led to a rise in misinformation and harmful content related to COVID-19. Social media companies had to enhance their content moderation efforts, prompting investments in AI systems to identify and remove such content.

Advertisers adapted their strategies to the changing landscape. AI-powered ad targeting became more critical as consumer behavior shifted and AI helped optimize ad spend. AI chatbots and tools were used to provide health information, symptom checking and updates related to the pandemic. Social media platforms have become a source of both reliable and unreliable health information. AI was used to analyze social media conversations and sentiments related to the pandemic and this data helped businesses and health organizations understand public perceptions and concerns.

AI Impact

In order to provide social media users with individualized content recommendations, AI algorithms analyze user behavior and preferences. This improves user engagement and keeps users on the platform longer. To keep social media platforms secure and enjoyable, hazardous or improper information, such as racist remarks or destructive images, is identified and removed using AI-powered content moderation techniques.

AI chatbots and virtual assistance provide real-time customer support to users on social media platforms and answer common queries and provides valuable information. As AI algorithm analyses user data easily and categorizes images and videos more effectively which benefits by reaching more relevant audiences and increasing social media revenue. AI also provides social media managers with insights and analytics about user behavior.

For instance, on 12 May 2023, Goldman Sachs spun out its first startup, called Louisa, from its internal incubator. Louisa is a networking platform for employees and it was previously funded and owned by Goldman Sachs. However, it recently became an independent company and its founder, is now working to expand its client base beyond Goldman Sachs, where it has been used for the past two and a half years.

Russia- Ukraine War Impact

The conflict has created geopolitical instability in the region, potentially affecting the operations of tech companies and startups in Ukraine and neighboring countries and this instability could disrupt AI development and research efforts. In times of conflict, there is a risk of a "brain drain" as talented AI researchers and professionals may seek opportunities abroad, impacting the local AI ecosystem which could slow down innovation and growth.

The war has disrupted global supply chains, including those related to AI hardware production. Shortages or delays in critical components can affect the development and deployment of AI systems. The conflict has generated a surge in information warfare and disinformation campaigns on social media. AI tools for detecting and combating misinformation have become more critical, leading to potential growth in this area.

By Technology

  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Others

By Component

  • Solutions
  • Services

By Enterprise Size

  • Small and Medium-Sized Enterprise
  • Large Enterprises

By Application

  • Sales and Marketing
  • Customer Experience Management
  • Predictive Risk Assessment
  • Others

By End-User

  • Retail and Ecommerce
  • Banking, Financial Services and Insurance
  • Media and Advertising
  • Education
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In January 2023, Microsoft announced a multiyear, multibillion-dollar investment in OpenAI to accelerate AI breakthroughs and ensure the benefits of AI are broadly shared and this marks the third phase of their partnership, with previous investments made in 2019 and 2021 and this collaboration builds on Microsoft's commitment to AI and supercomputing technology, with a focus on responsible AI development and safety.
  • In July 2023, KPMG and Microsoft are expanding their global partnership to transform professional services in critical areas, including workforce modernization and the use of AI solutions and this collaboration involves KPMG's multibillion-dollar commitment to Microsoft's cloud and AI services over the next five years, potentially unlocking over $12 billion in growth opportunities for KPMG.
  • In August 2023, Tech Mahindra has partnered with Google to launch the Generative AI-Powered Email AmplifAIer as part of Tech Mahindra's TechM amplifAI0 suite of AI offerings and this solution aims to improve customer service in contact centers by using Generative AI to manage email communication more effectively and this collaboration between Tech Mahindra and Google is expected to enhance customer experience and agent efficiency in contact centers.

Why Purchase the Report?

  • To visualize the global artificial intelligence (AI) in social media market segmentation based on technology, component, enterprise size, application, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of artificial intelligence (AI) in social media market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global artificial intelligence (AI) in social media market report would provide approximately 77 tables, 78 figures and 198 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Technology
  • 3.2. Snippet by Component
  • 3.3. Snippet by Enterprise Size
  • 3.4. Snippet by Application
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Government Initiatives Boost the Market
      • 4.1.1.2. Rising Number of Social Media Users
      • 4.1.1.3. Collaboration Between Companies Boosts the Market
    • 4.1.2. Restraints
      • 4.1.2.1. Baised Recommendations and Spreading Misinformation
    • 4.1.3. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Technology

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 7.1.2. Market Attractiveness Index, By Technology
  • 7.2. Machine Learning and Deep Learning*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Natural Language Processing
  • 7.4. Computer Vision
  • 7.5. Others

8. By Component

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 8.1.2. Market Attractiveness Index, By Component
  • 8.2. Solutions*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Services

9. By Enterprise Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 9.1.2. Market Attractiveness Index, By Enterprise Size
  • 9.2. Small and Medium-Sized Enterprise*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Large Enterprises

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Sales and Marketing*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Customer Experience Management
  • 10.4. Predictive Risk Assessment
  • 10.5. Others

11. By End-User

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.1.2. Market Attractiveness Index, By End-User
  • 11.2. Retail and Ecommerce*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Banking, Financial Services and Insurance
  • 11.4. Media and Advertising
  • 11.5. Education
  • 11.6. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.8.1. U.S.
      • 12.2.8.2. Canada
      • 12.2.8.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1. Germany
      • 12.3.8.2. UK
      • 12.3.8.3. France
      • 12.3.8.4. Italy
      • 12.3.8.5. Russia
      • 12.3.8.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. Brazil
      • 12.4.8.2. Argentina
      • 12.4.8.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1. China
      • 12.5.8.2. India
      • 12.5.8.3. Japan
      • 12.5.8.4. Australia
      • 12.5.8.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. Adobe Systems Incorporated*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. Baidu, Inc.
  • 14.3. Salesforce,Inc.
  • 14.4. Snapchat Inc.
  • 14.5. Google Inc.
  • 14.6. International Business Machines Corp.
  • 14.7. Hootsuite Media, Inc.
  • 14.8. Meta Platforms, Inc.
  • 14.9. Twitter, Inc.
  • 14.10. Vidora Inc.

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us