Artificial Intelligence in Social Media Market by Technology, Service, Organization Size, Application, End-User Industry

Description

List of Tables

[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
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

This research report categorizes the Artificial Intelligence in Social Media Market to forecast the revenues and analyze trends in each of the following sub-markets:

Technology
- Machine Learning & Deep Learning
- Natural Language Processing

Service
- Managed Service
- Professional Service

Organization Size
- Large Enterprise
- Small & Medium Enterprise

Application
- Customer Experience Management
- Image Recognition
- Predictive Risk Assessment
- Sales & Marketing

End-User Industry
- Banking, Financial Services & Insurance
- E-Commerce
- Education
- Media & Advertising
- Retail

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

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.

The report addresses key questions such as:

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?

Product Code: MRR-B1685377848F

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing user engagement on social media using smartphones
  - 5.1.1.2. Integration of AI technology with social media for effective advertising and marketing
  - 5.1.1.3. Rising use of AI-based social media platforms in education
- 5.1.2. Restraints
  - 5.1.2.1. High cost of AI-based social media platforms
- 5.1.3. Opportunities
  - 5.1.3.1. Introduction of innovative features in AI-based social media solutions
  - 5.1.3.2. Expanding applications of AI-based social media in BFSI sector
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy and security concerns associated with AI in social media
5.2. Market Segmentation Analysis
- 5.2.1. Technology: Significant penetration of machine learning & deep learning
- 5.2.2. Service: Rising demand for personalized services to cater to specific business needs
- 5.2.3. Application: Proliferating use for predictive risk assessment
- 5.2.4. End-User Industry: Expanding applications of AI in social media in the eCommerce sector
5.3. Market Disruption Analysis
5.4. Porter's Five Forces Analysis
- 5.4.1. Threat of New Entrants
- 5.4.2. Threat of Substitutes
- 5.4.3. Bargaining Power of Customers
- 5.4.4. Bargaining Power of Suppliers
- 5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis

6. Artificial Intelligence in Social Media Market, by Technology

6.1. Introduction
6.2. Machine Learning & Deep Learning
6.3. Natural Language Processing

7. Artificial Intelligence in Social Media Market, by Service

7.1. Introduction
7.2. Managed Service
7.3. Professional Service

8. Artificial Intelligence in Social Media Market, by Organization Size

8.1. Introduction
8.2. Large Enterprise
8.3. Small & Medium Enterprise

9. Artificial Intelligence in Social Media Market, by Application

9.1. Introduction
9.2. Customer Experience Management
9.3. Image Recognition
9.4. Predictive Risk Assessment
9.5. Sales & Marketing

10. Artificial Intelligence in Social Media Market, by End-User Industry

10.1. Introduction
10.2. Banking, Financial Services & Insurance
10.3. E-Commerce
10.4. Education
10.5. Media & Advertising
10.6. Retail

11. Americas Artificial Intelligence in Social Media Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Artificial Intelligence in Social Media Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Social Media Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. Elon Musk Set to Integrate AI Startup xAI with Social Media Platform X
- 14.3.2. Google Bets on AI-Powered Video Ads to Disrupt Social Media Advertising
- 14.3.3. LinkedIn Launches 'Collaborative Articles' Powered by AI to Help Boost Member Engagement
14.4. Strategy Analysis & Recommendation

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio