세계의 소셜 미디어 인공지능 시장 : 기술, 서비스, 조직 규모, 용도, 최종 사용자 산업별 예측(2025-2030년)

The Artificial Intelligence in Social Media Market was valued at USD 5.35 billion in 2023, expected to reach USD 6.43 billion in 2024, and is projected to grow at a CAGR of 20.84%, to USD 20.15 billion by 2030.

The scope of artificial intelligence (AI) in social media encompasses technologies that enhance user experiences, streamline content creation, automate customer service, and enable precise influencer marketing. The necessity of AI in social media is driven by the need for real-time data analysis, improved user engagement through personalized content, and the automation of labor-intensive tasks. Applications span chatbots for real-time interaction, sentiment analysis to gauge public opinion, and predictive analytics for trend forecasting. The end-use scope is broad, including platforms like Facebook, Instagram, Twitter, and emerging networks tailored for niche communities. Market growth is fueled by the increasing reliance on digital marketing and the unmet demand for more persuasive advertisements and deeper user insights. Latest potential opportunities arise from the integration of generative AI, enhancing content creation processes, while leveraging data privacy technologies offers a competitive edge amid growing consumer privacy concerns. Proactive recommendations include investing in AI algorithms that adapt to ever-changing platform algorithms and prioritizing ethical AI practices to meet regulatory standards. Challenges such as data security, high implementation costs, and algorithmic bias remains significant growth barriers. The booming demand for short-form video content and immersive experiences via augmented reality (AR) presents ripe areas for innovation. AI research should focus on improving emotional AI to better interpret human emotions for more engaging interactions and refining natural language processing for more sophisticated understanding of user queries. The market is inherently dynamic, characterized by rapid technological advancements and evolving user preferences. Companies that remain agile, focus on data-driven strategies, and integrate AI responsibly are better positioned to thrive. Startups may concentrate on specialized solutions for influencer identification or AI-driven content moderation to carve out their niche in this competitive landscape. Emphasizing collaboration between tech companies and social platforms can also drive sustainable growth and innovation.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Social Media Market

The Artificial Intelligence in Social Media Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• 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

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Social Media Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Social Media Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Social Media Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Social Media Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Social Media Market

A detailed market share analysis in the Artificial Intelligence in Social Media Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Social Media Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Social Media Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Social Media Market

A strategic analysis of the Artificial Intelligence in Social Media Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

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:

• Based on Technology, market is studied across Machine Learning & Deep Learning and Natural Language Processing.
• Based on Service, market is studied across Managed Service and Professional Service.
• Based on Organization Size, market is studied across Large Enterprise and Small & Medium Enterprise.
• Based on Application, market is studied across Customer Experience Management, Image Recognition, Predictive Risk Assessment, and Sales & Marketing.
• Based on End-User Industry, market is studied across Banking, Financial Services & Insurance, E-Commerce, Education, Media & Advertising, and Retail.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

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. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

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

Companies Mentioned

• 1. Aarzoo, Inc.
• 2. Acrolinx GmbH
• 3. AI21 Labs
• 4. Amazon Web Services, Inc.
• 5. Baidu, Inc.
• 6. Buffer, Inc
• 7. Cisco Systems, Inc.
• 8. Cision Ltd.
• 9. ContentStudio Inc.
• 10. Flick.Tech Ltd.
• 11. Google LLC by Alphabet Inc.
• 12. Hootsuite Inc.
• 13. International Business Machines Corporation
• 14. Lately, Inc.
• 15. Meta Platforms, Inc.
• 16. Microsoft Corporation
• 17. MURF.AI
• 18. Oracle Corporation
• 19. Salesforce, Inc.
• 20. SAP SE
• 21. SC SocialBee Labs SRL
• 22. Socinator
• 23. Stockimg.ai
• 24. STORYLAB.AI
• 25. Zapier Inc.