Artificial Intelligence In Social Media Market
Artificial Intelligence in Social Media Market Forecasts to 2030 - Global Analysis By Solutions (Chatbots & Virtual Assistants, Social Media Analytics, Social Media Monitoring and Other Solutions), Content Generation Type (Text Generation, Image Generation, Video Generation and Audio Generation), Technology, Application, End User and By Geography
According to Stratistics MRC, the Global Artificial Intelligence in Social Media Market is accounted for $2.09 billion in 2024 and is expected to reach $10.42 billion by 2030, growing at a CAGR of 30.7% during the forecast period. The application of sophisticated algorithms and machine learning to the analysis of massive volumes of data from social media platforms is known as artificial intelligence (AI) in social media. It makes it possible to recommend tailored content, improve user interaction, and provide automated customer service through chatbots, sentiment analysis, and targeted advertising. Platform security is improved by AI's assistance in identifying spam, phony accounts, and objectionable content. By using insights from user behavior patterns and predictive analytics, it enables businesses to maximize their social media strategies.
According to Gartner, by 2025, 80% of marketers will utilize AI in their marketing strategies, leading to an increase in ad spend across digital platforms.
Market Dynamics:
Driver:
Growing social media usage
The rapid increase in global social media usage is driving the demand for AI in social media platforms. With billions of users on platforms such as Facebook, Instagram, and Twitter, AI technologies are being harnessed to enhance content moderation, personalize advertising, and improve customer engagement. AI’s ability to process vast amounts of user data and deliver targeted experiences is proving essential for businesses to keep up with growing user demands, making it a key growth driver for the market.
Restraint:
Growing concerns about Ai surveillance
AI is becoming more integrated into social media, and concerns around data privacy and AI surveillance are escalating. Users and regulators alike are becoming more cautious about how personal information is collected and used by AI-driven systems. The lack of transparency in AI algorithms and data handling processes has created a demand for stricter regulations, which could slow the adoption of AI technologies. These concerns about privacy and surveillance are emerging as significant barriers to broader market expansion.
Opportunity:
Increased focus on user personalization
AI-driven algorithms analyze user interactions, behaviors, and preferences to curate highly personalized content, advertisements, and recommendations. As social media platforms increasingly invest in AI to enhance user engagement and satisfaction, businesses are finding new ways to deliver relevant and customized experiences. This emphasis on personalization is expected to drive further adoption of AI technologies, unlocking new growth opportunities for the market.
Threat:
Cybersecurity risks
Cybersecurity risks pose a critical threat to the growth of AI in social media. As AI technology becomes more embedded in social media platforms, the risk of cyberattacks increases, with potential threats including phishing, deepfake content, and data breaches. These vulnerabilities can undermine user trust and prompt increased scrutiny from regulatory bodies. As cybersecurity concerns grow, businesses may hesitate to fully embrace AI technologies, which could slow the overall growth of the market.
Covid-19 Impact:
The COVID-19 pandemic significantly accelerated the use of social media, which in turn fueled AI adoption across platforms. With more users spending time online, AI tools like chatbots and virtual assistants became essential for managing increased traffic, automating interactions, and ensuring smooth customer engagement. As businesses adapted to remote working conditions, AI technologies played a pivotal role in sustaining user interactions, helping the market recover from initial disruptions, and setting the stage for long-term growth.
The chatbots & virtual assistants segment is expected to be the largest during the forecast period
The chatbots and virtual assistants segment is forecasted to dominate the market, driven by widespread adoption across various industries. These AI-powered tools are increasingly being used by businesses to enhance customer support, manage real-time interactions, and improve overall user engagement on social media. Their ability to handle large volumes of inquiries cost-effectively makes them highly appealing to businesses seeking to streamline communication. This growing reliance on AI-driven chatbots and virtual assistants solidifies their leading position in the market.
The video generation segment is expected to have the highest CAGR during the forecast period
The video generation segment is set to experience the fastest growth in the market, reflecting the increasing importance of video content on social media platforms. AI-driven tools are enabling brands to create dynamic, personalized video content that resonates with users. As video continues to gain prominence in digital marketing strategies, businesses are leveraging AI to produce engaging content at scale. This rising demand for AI-powered video generation solutions is projected to drive the segment's high growth rate.
Region with largest share:
North America is anticipated to hold the largest share of the AI in the social media market, largely due to the presence of leading technology companies and social media platforms in the region. High levels of investment in AI research and early adoption of AI tools for marketing and user engagement are driving growth in this region. The focus on enhancing user experiences through AI-powered solutions is further supporting North America’s leadership in this market.
Region with highest CAGR:
The Asia Pacific region is poised to grow at the highest rate, driven by the expanding digital ecosystem in countries like China, India, and Japan. The rapid rise in social media users, coupled with increasing digital marketing and e-commerce activities, is fueling demand for AI technologies. As businesses in the region look to integrate AI into their social media strategies, the Asia Pacific is expected to see robust market growth.
Key players in the market
Some of the key players in Artificial Intelligence in Social Media Market include Microsoft Corporation, Meta Platforms, Inc., Alphabet Inc., Amazon Web Services, Inc., International Business Machines Corporation (IBM), Adobe Inc., Salesforce, Inc., Snap Inc., Clarabridge, Inc., Hootsuite Inc., Sprout Social, Inc., Sprinklr, Inc., Converseon, Inc., Unmetric Inc., Cluep Inc., Netbase Solutions, Inc., Meltwater, and Talkwalker Inc.
Key Developments:
In August 2024, Reddit (RDDT) made its first acquisition since its initial public offering earlier this year, the social media company announcing that it had purchased advertising technology company Memorable AI. The company uses AI models to analyze reactions to content to determine what resonates with specific audiences, according to Memorable AI's web site.
In March 2024, Google-Reddit AI Deal Heralds New Era in Social Media Licensing. Alphabet Inc.'s Google inked a licensing deal with Reddit Inc. reportedly worth $60 million annually last month to train its large language models on the platform’s extensive user-generated content. It’s the first major public licensing deal between a US social media giant and an external AI company.
Solutions Covered:
• Chatbots & Virtual Assistants
• Social Media Analytics
• Social Media Monitoring
• Management Platforms
• Other Solutions
Content Generation Types Covered:
• Text Generation
• Image Generation
• Video Generation
• Audio Generation
Technologies Covered:
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Deep Learning (DL)
• Computer Vision
• Other Technologies
Applications Covered:
• Sales & Marketing
• Customer Experience Management
• Risk Assessment
• Competitive Intelligence
• Other Applications
End Users Covered:
• Retail & eCommerce
• Banking, Financial Services, and Insurance (BFSI)
• Media & Entertainment
• IT & Telecommunications
• Healthcare
• Government & Public Sector
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence in Social Media Market, By Solutions
5.1 Introduction
5.2 Chatbots & Virtual Assistants
5.3 Social Media Analytics
5.4 Social Media Monitoring
5.5 Management Platforms
5.6 Other Solutions
6 Global Artificial Intelligence in Social Media Market, By Content Generation Type
6.1 Introduction
6.2 Text Generation
6.3 Image Generation
6.4 Video Generation
6.5 Audio Generation
7 Global Artificial Intelligence in Social Media Market, By Technology
7.1 Introduction
7.2 Machine Learning (ML)
7.3 Natural Language Processing (NLP)
7.4 Deep Learning (DL)
7.5 Computer Vision
7.6 Other Technologies
8 Global Artificial Intelligence in Social Media Market, By Application
8.1 Introduction
8.2 Sales & Marketing
8.2.1 Campaign Management
8.2.2 Ad Targeting & Personalization
8.2.3 Influencer Analytics
8.3 Customer Experience Management
8.3.1 Personalized Recommendations
8.3.2 User Behavior Analysis
8.4 Risk Assessment
8.4.1 Fraud Detection
8.4.2 Brand Safety
8.5 Competitive Intelligence
8.6 Other Applications
9 Global Artificial Intelligence in Social Media Market, By End User
9.1 Introduction
9.2 Retail & eCommerce
9.3 Banking, Financial Services, and Insurance (BFSI)
9.4 Media & Entertainment
9.5 IT & Telecommunications
9.6 Healthcare
9.7 Government & Public Sector
9.8 Other End Users
10 Global Artificial Intelligence in Social Media Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Microsoft Corporation
12.2 Meta Platforms, Inc.
12.3 Alphabet Inc.
12.4 Amazon Web Services, Inc.
12.5 International Business Machines Corporation (IBM)
12.6 Adobe Inc.
12.7 Salesforce, Inc.
12.8 Snap Inc.
12.9 Clarabridge, Inc.
12.10 Hootsuite Inc.
12.11 Sprout Social, Inc.
12.12 Sprinklr, Inc.
12.13 Converseon, Inc.
12.14 Unmetric Inc.
12.15 Cluep Inc.
12.16 Netbase Solutions, Inc.
12.17 Meltwater
12.18 Talkwalker Inc.
List of Tables
1 Global Artificial Intelligence in Social Media Market Outlook, By Region (2022-2030) ($MN)
2 Global Artificial Intelligence in Social Media Market Outlook, By Solutions (2022-2030) ($MN)
3 Global Artificial Intelligence in Social Media Market Outlook, By Chatbots & Virtual Assistants (2022-2030) ($MN)
4 Global Artificial Intelligence in Social Media Market Outlook, By Social Media Analytics (2022-2030) ($MN)
5 Global Artificial Intelligence in Social Media Market Outlook, By Social Media Monitoring (2022-2030) ($MN)
6 Global Artificial Intelligence in Social Media Market Outlook, By Management Platforms (2022-2030) ($MN)
7 Global Artificial Intelligence in Social Media Market Outlook, By Other Solutions (2022-2030) ($MN)
8 Global Artificial Intelligence in Social Media Market Outlook, By Content Generation Type (2022-2030) ($MN)
9 Global Artificial Intelligence in Social Media Market Outlook, By Text Generation (2022-2030) ($MN)
10 Global Artificial Intelligence in Social Media Market Outlook, By Image Generation (2022-2030) ($MN)
11 Global Artificial Intelligence in Social Media Market Outlook, By Video Generation (2022-2030) ($MN)
12 Global Artificial Intelligence in Social Media Market Outlook, By Audio Generation (2022-2030) ($MN)
13 Global Artificial Intelligence in Social Media Market Outlook, By Technology (2022-2030) ($MN)
14 Global Artificial Intelligence in Social Media Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
15 Global Artificial Intelligence in Social Media Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
16 Global Artificial Intelligence in Social Media Market Outlook, By Deep Learning (DL) (2022-2030) ($MN)
17 Global Artificial Intelligence in Social Media Market Outlook, By Computer Vision (2022-2030) ($MN)
18 Global Artificial Intelligence in Social Media Market Outlook, By Other Technologies (2022-2030) ($MN)
19 Global Artificial Intelligence in Social Media Market Outlook, By Application (2022-2030) ($MN)
20 Global Artificial Intelligence in Social Media Market Outlook, By Sales & Marketing (2022-2030) ($MN)
21 Global Artificial Intelligence in Social Media Market Outlook, By Campaign Management (2022-2030) ($MN)
22 Global Artificial Intelligence in Social Media Market Outlook, By Ad Targeting & Personalization (2022-2030) ($MN)
23 Global Artificial Intelligence in Social Media Market Outlook, By Influencer Analytics (2022-2030) ($MN)
24 Global Artificial Intelligence in Social Media Market Outlook, By Customer Experience Management (2022-2030) ($MN)
25 Global Artificial Intelligence in Social Media Market Outlook, By Personalized Recommendations (2022-2030) ($MN)
26 Global Artificial Intelligence in Social Media Market Outlook, By User Behavior Analysis (2022-2030) ($MN)
27 Global Artificial Intelligence in Social Media Market Outlook, By Risk Assessment (2022-2030) ($MN)
28 Global Artificial Intelligence in Social Media Market Outlook, By Fraud Detection (2022-2030) ($MN)
29 Global Artificial Intelligence in Social Media Market Outlook, By Brand Safety (2022-2030) ($MN)
30 Global Artificial Intelligence in Social Media Market Outlook, By Competitive Intelligence (2022-2030) ($MN)
31 Global Artificial Intelligence in Social Media Market Outlook, By Other Applications (2022-2030) ($MN)
32 Global Artificial Intelligence in Social Media Market Outlook, By End User (2022-2030) ($MN)
33 Global Artificial Intelligence in Social Media Market Outlook, By Retail & eCommerce (2022-2030) ($MN)
34 Global Artificial Intelligence in Social Media Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
35 Global Artificial Intelligence in Social Media Market Outlook, By Media & Entertainment (2022-2030) ($MN)
36 Global Artificial Intelligence in Social Media Market Outlook, By IT & Telecommunications (2022-2030) ($MN)
37 Global Artificial Intelligence in Social Media Market Outlook, By Healthcare (2022-2030) ($MN)
38 Global Artificial Intelligence in Social Media Market Outlook, By Government & Public Sector (2022-2030) ($MN)
39 Global Artificial Intelligence in Social Media Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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