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

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


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.

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.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Social Media Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

Market Drivers
  • Increasing user engagement on social media using smartphones
  • Integration of AI technology with social media for effective advertising and marketing
  • Rising use of AI-based social media platforms in education
Market Restraints
  • High cost of AI-based social media platforms
Market Opportunities
  • Introduction of innovative features in AI-based social media solutions
  • Expanding applications of AI-based social media in BFSI sector
Market Challenges
  • Data privacy and security concerns associated with AI in social media
Market Segmentation Analysis
  • Technology: Significant penetration of machine learning & deep learning
  • Service: Rising demand for personalized services to cater to specific business needs
  • Application: Proliferating use for predictive risk assessment
  • End-User Industry: Expanding applications of AI in social media in the eCommerce sector
Market Disruption Analysis
  • Porter’s Five Forces Analysis
  • Value Chain & Critical Path Analysis
  • Pricing Analysis
  • Technology Analysis
  • Patent Analysis
  • Trade Analysis
  • Regulatory Framework Analysis
FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Social Media Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the Artificial Intelligence in Social Media Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Elon Musk Set to Integrate AI Startup xAI with Social Media Platform X

Elon Musk unveiled his plans to integrate the AI startup XAI with the social media platform X. This integration aims to leverage AI algorithms to provide personalized recommendations and enhance the user experience on the platform. This strategic move showcases Musk's commitment to harnessing the power of artificial intelligence in social media. By joining forces with XAI, the platform is set to revolutionize how users engage and interact with content, fostering a more immersive and tailored experience for each individual.

Google Bets on AI-Powered Video Ads to Disrupt Social Media Advertising

Google introduced a new advertising product called Demand Gen Campaigns. This innovative tool utilizes AI technology to create highly targeted video and image ads on platforms like YouTube and other Google platforms. The primary objective of this product is to assist businesses in expanding their social media strategies beyond conventional platforms such as Facebook and Instagram.

LinkedIn Launches ‘Collaborative Articles’ Powered by AI to Help Boost Member Engagement

LinkedIn introduced a new collaborative article platform, which is powered by artificial intelligence (AI). This platform integrates machine learning capabilities to generate content. Some of the key features of this AI-powered platform include automated grammar and spellcheck, keyword enhancement, and topic recommendations

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Social Media Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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


Please Note: PDF & Excel + Online Access - 1 Year


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

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