AI in Social Media Market Size, Share and Global Forecast to 2029

AI in Social Media Market by Product Type (Social Media Management (Social Media Listening), Content Generation Type (Text, Video, Image, & Content Idea), Influencer Marketing, Reporting & Analytics, Content Strategy), End User - Global Forecast to 2029

USD 10.33 BN

MARKET SIZE, 2029

CAGR 36.2%

(2025-2029)

357

REPORT PAGES

303

MARKET TABLES

OVERVIEW

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The global AI in social media market size is projected to grow from USD 2.20 billion in 2024 to USD 10.33 billion in 2029, at a CAGR of 36.2%. The growth of the AI in social media market is significantly driven by social media management tools that enhance account management, automate content sharing, and improve user engagement through data analysis and trend identification. These AI-powered solutions optimize scheduling, personalize interactions, and increase marketing efficiency, resulting in accelerated revenue growth and reduced customer conversion and retention costs for businesses. Notably, platforms like Facebook and its subsidiary Instagram leverage advanced machine learning techniques for targeted advertising and content analysis, which streamline operations and elevate customer experiences, ultimately fostering sustainable growth in the digital landscape.

KEY TAKEAWAYS

By region, North America is estimated to hold largest market share of 36.12% in 2024
By product type, the social media management segment is projected to account for the largest share during the forecast period.
Under the product type segment, the social media management segment is projected to account for the largest share, with a CAGR of 32.7% during the forecast period.
By use case, the marketing segment is estimated to hold the largest market share in 2024.
By end-user, the healthcare & pharma segment is estimated to grow at highest CAGR of 42.3% during the forecase period.
Leading players in the AI social media market, such as Google, Meta, IBM, Sprout, and Sprinklr, are strategically utilizing both organic and inorganic methods, including partnerships and investments, to secure a competitive edge.
Companies like Buffer, Upfluence, and Dash Hudson, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.

The AI in social media market is growing steadily with the introduction of AI-powered deepfake detection in social media to identify and flag altered content. The rising demand for highly personalized content and recommendations tailored to individual user preferences and behavior is shaping the social media market.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The impact on consumers' businesses is a result of customer trends or disruptions. It shows how a company's revenue mix is expected to change over the next 4-5 years, shifting from its current offerings to new use cases, technologies, and markets.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers

Impact
Level

Rising demand for personalization at scale
Growth in Gen AI-based content creation tools enables brands to create captivating and unique content.

RESTRAINTS

Impact
Level

High integration complexity

OPPORTUNITIES

Impact
Level

New monetization models
AI-driven social media assistants to optimize account management, content sharing, and user engagement for businesses

CHALLENGES

Impact
Level

Balancing creativity with compliance
Limited creativity and personalization

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising demand for personalization at scale

In today's environment, audiences demand personalized, contextually relevant experiences across all social touchpoints. For media organizations, this necessity translates into the delivery of content that adapts dynamically to individual preferences in real time. For brands and agencies, it manifests as the creation of highly targeted campaigns that yield measurable impacts. Artificial intelligence plays a crucial role in facilitating this transformation by integrating predictive analytics, behavioral insights, and creative automation. Buyers increasingly perceive personalization not merely as an advantage but as an essential strategy for maintaining engagement and fostering loyalty within a competitive marketplace.

Restraint: High integration complexity

While AI holds great potential for transformation, its integration into existing marketing infrastructures, legacy media systems, and a variety of social platforms presents significant challenges. Enterprises must navigate the complexities of aligning new AI functionalities with fragmented workflows, data silos, and compliance mandates. The substantial costs associated with customization and ensuring system interoperability further inhibit rapid adoption. For many organizations, the primary challenge lies not in demonstrating the value of AI, but in achieving a seamless implementation that minimally disrupts ongoing operations.

Opportunity: New monetization models

Artificial Intelligence (AI) is paving the way for new revenue opportunities that extend beyond conventional advertising methods. By enhancing influencer matching, facilitating dynamic ad placements, and promoting creator-led commerce, businesses can access previously untapped monetization channels. For entertainment companies, AI-curated fan experiences can significantly boost subscriptions and enhance premium engagement. Advertising agencies can leverage AI for campaign optimization, demonstrating return on investment (ROI) to clients with greater accuracy. Vendors that position AI as a strategic growth engine, rather than merely an efficiency tool, will align more closely with the evolving priorities of buyers.

Challenging: Balancing creativity with compliance

As artificial intelligence increasingly integrates into social media strategies, it is imperative for buyers to strike a balance between innovation and responsibility. Media organizations and agencies are eager to leverage AI for expedited content generation; however, they must remain compliant with stringent regulations surrounding copyright, deepfakes, and data privacy. Excessive or inappropriate use of AI could jeopardize brand reputation and undermine consumer trust. The critical challenge is to develop AI strategies that prioritize authenticity while simultaneously providing creative teams with the agility and scalability necessary for success.

AI in Social Media Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY	USE CASE DESCRIPTION	BENEFITS
	Dine Brands struggled to manage social media interactions due to a lack of integration, leading to a high manual workload and slow response times via native platforms. This disconnection made it difficult to accurately measure and prioritize social care, creating a clear need for an efficient and accountable system.	Emplifi delivered a unified workflow by integrating social media DMs into the existing CRM, which reduced case-handling time from five minutes to just one. This allowed for quicker responses, accurate tracking and prioritization of social care efforts, and the capture of valuable, restaurant-specific guest data.
	Supporting Strategies faced challenges managing social media across 179 channels and 90 locations, resulting in workflow complexity and inconsistent messaging. It urgently required a centralized system to streamline content, boost productivity, and ensure compliance.	Lately's Parent Dashboard unified content distribution across all 179 channels, drastically streamlining the workflow and saving the Marketing Director time. This system provided full visibility, empowered local teams, and doubled the company's web traffic within one year.
	Costa Cruises encountered difficulties in managing a large volume of incoming social media messages due to their outdated software, which did not integrate with their CRM or WhatsApp. This absence of a unified system made it challenging to deliver efficient and personalized customer service.	Sprinklr enabled Costa Cruises to respond 25% faster with the same lean team managing a higher volume of inquiries. The platform unified channels for a comprehensive customer view, providing real-time insights that enhanced service efficiency and led to higher customer satisfaction and loyalty scores.
	Summer Fridays needed to create authentic, engaging content in a highly competitive beauty market, balancing polished campaign imagery with relatable UGC. The core challenge was maintaining a consistent voice and staying ahead of trends to effectively strengthen its community connection.	Dash Hudson's AI tool significantly increased engagement by helping Summer Fridays focus on user-generated content. The platform provided real-time insights into community sentiment and visual trends, strengthening the brand's connection with its audience and driving data-informed marketing decisions.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The AI in social media ecosystem has four main segments: social media management for content scheduling and campaign optimization; influencer marketing for AI-driven creator matching and impact measurement; reporting and analytics for real-time insights and sentiment tracking; and social listening for monitoring brand reputation and audience sentiment. Together, these segments form an integrated network that enhances personalization, engagement, and enterprise adoption of AI in social media.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

AI in Social Media Market, by Product Type

Social media management is estimated to account for the largest market share in the AI in Social Media market as platforms and businesses increasingly rely on AI for content scheduling, performance tracking, and campaign optimization. AI-powered tools enable real-time monitoring, sentiment analysis, and automated customer engagement at scale. The rising demand for personalized content delivery and efficient audience targeting further drives adoption. These factors position social media management as the leading product type in the market.

AI in Social Media Market, by Content Generation Type

Text creation is projected to account for the largest share in AI-driven content generation, as brands and platforms increasingly use generative AI to produce personalized posts, ad copy, and real-time responses. AI models enable large-scale, cost-efficient content creation while maintaining relevance and consistency across multiple channels. The rising need for rapid campaign execution and audience-specific messaging further fuels adoption, making text creation the dominant segment in AI content generation.

AI in Social Media Market, by Use Case

Marketing is estimated to capture the largest share among AI in social media use cases, as businesses increasingly leverage AI for ad targeting, customer segmentation, and campaign optimization. AI enables hyper-personalized recommendations, predictive analytics, and performance tracking to maximize RoI. With growing adoption of generative AI for creative content and automated ad placements, marketing remains the dominant driver of value in the AI in social media market.

AI in Social Media Market, by End User

Enterprises represent the largest end-user segment in the AI in social media market, with PR agencies leading adoption. PR firms increasingly rely on AI for sentiment analysis, brand monitoring, crisis management, and automated content generation. AI tools help agencies deliver real-time insights, streamline communication strategies, and enhance audience engagement at scale. This strong dependence positions enterprises, especially PR agencies, as the dominant end-user group in the market.

REGION

Asia Pacific to be the fastest-growing region in the global AI in social media market during the forecast period

Asia Pacific is emerging as the fastest-growing region in the AI in social media market, driven by the rapid adoption of generative AI, advanced content moderation tools, and real-time engagement analytics. Governments and enterprises across China, India, Japan, and South Korea are heavily investing in AI ecosystems, enabling large-scale integration of conversational AI, recommendation engines, and influencer marketing automation on social platforms. Strong collaboration between global tech leaders and regional innovators further accelerates innovation, positioning Asia Pacific as the most dynamic growth hub for AI in social media.

AI in Social Media Market: COMPANY EVALUATION MATRIX

In the AI in social media market matrix, Google (Star) leads with Google AI, DeepMind, Bard, and other advanced solutions, offering comprehensive tools for content personalization, ad optimization, and engagement analytics. Its scalable infrastructure and integrated generative AI capabilities reinforce its leadership. LivePerson (Emerging Leader) is advancing with AI-driven social engagement platforms focused on customer interaction, conversational AI, and lifecycle management.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC	DETAILS
Market Size in 2023 (Value)	USD 1.67 BN
Market Forecast in 2029 (Value)	USD 10.33 BN
Growth Rate	36.20%
Years Considered	2019–2029
Base Year	2023
Forecast Period	2024–2029
Units Considered	Value (USD MN/BN)
Report Coverage	Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered	By Product Type: Social Media Management Content Creation & Optimization Reporting & Analytics Audience Targeting & Engagement Content Strategy eCommerce & Conversion Optimization By Content Generation Type: Text Creation Image Creation Video Creation Content Idea Generation Other Content Generation Types By Deployment Mode: Cloud On-premises By Use Case: Marketing IT & Security HR Customer Service Sales By End Users: Enterprises Individual Users
Regions Covered	North America, Asia Pacific, Europe, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: AI in Social Media Market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST	CUSTOMIZATION DELIVERED	VALUE ADDS
Leading AI in Social Media Vendor	Competitive profiling of additional vendors Parameter-based product benchmarking Ecosystem mapping End-user adoption analysis	Identified direct competition Understanding focus areas Highlight opportunities for cost reduction & efficiency Insights into enterprise adoption priorities
Leading AI in Social Media Vendor	Region-specific market size & forecast Market opportunities by use case Pricing analysis & client sentiment Deployment trend study	Insights on growing regional market Research and development spending End user-based growth opportunities Strategic deployment insights

RECENT DEVELOPMENTS

August 2024 : Wix and Google expanded their strategic partnership to integrate Google's AI tool, Gemini, into Wix's website-building platform. This collaboration will allow Wix users to leverage Gemini's advanced AI capabilities to enhance website design and functionality within the Google Workspace environment. The integration aims to streamline the user experience by providing intelligent, AI-driven tools that simplify content creation, design, and management. This partnership enhances Wix's offerings, giving users access to cutting-edge technology and tools to improve their online presence and streamline workflow.
May 2024 : IBM announced expanding its partnership with Salesforce to enhance the capabilities of its Watsonx platform, integrating it with Salesforce's Einstein 1. This aimed to provide businesses greater flexibility in AI and data deployment, enabling data-driven decision-making directly within workflows. Key features include bidirectional data integration, customizable large language models (LLMs), and prebuilt actions for CRM solutions. IBM's strategic focus on responsible AI development is central to this initiative. It aligned with its broader goal of promoting generative AI adoption across various sectors through partnerships with companies like Tech Mahindra and Wipro.
June 2024 : Sprinklr and Reddit expanded their strategic partnership to enhance connections between enterprises and Reddit users. As the first official partner of Reddit's newly launched Ads API, Sprinklr would integrate Reddit's Data API and Advertising API into its platform. This allowed Sprinklr customers to access real-time conversations on Reddit, improving social listening and brand engagement. By leveraging Reddit's unique community-driven insights, Sprinklr aimed to help brands optimize their advertising strategies and enhance customer understanding. This partnership positions Sprinklr as a key player in managing brand presence on Reddit, offering a unified approach to organic and paid content strategies.
June 2024 : HID announced a collaboration with AWS to integrate its U.ARE.UTM Camera Identification System with Amazon Rekognition for superior identity verification results. HID's technology captures faces across varying conditions and offers built-in liveness detection, making it suitable for self-serve and POS environments in industries like hospitality, healthcare, retail, and banking. This leverages Amazon Rekognition's face detection, comparison, indexing, and search capabilities to enable customers to achieve superior results in challenging environments while providing a seamless customer experience without compromising accuracy and security.
March 2024 : LivePerson partnered with Infinity, a call analytics platform, to help brands create better personalized digital experiences through customer data and conversational intelligence. The partnership enabled enhanced personalization efforts and measurable ROI by connecting attribution data across voice calls and digital messaging conversations. It provided bidirectional attribution, including AI and automation-handled conversations, to understand the end-to-end, omnichannel customer journey. The integration strengthened visibility into online-to-offline customer service interactions, optimized marketing spend, and improved sales and service outcomes through a more personalized customer experience.

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TITLE

PAGE NO

INTRODUCTION

RESEARCH METHODOLOGY

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW AND INDUSTRY TRENDS

AI-driven tools revolutionize content creation and personalized marketing, enhancing brand engagement and strategy.

5.1

INTRODUCTION

5.2

MARKET DYNAMICS

5.2.1

DRIVERS

5.2.1.1

STREAMLINING CONTENT CREATION WITH AI AUTOMATION TOOLS

5.2.1.2

GROWTH IN GEN AI-BASED CONTENT CREATION TOOLS TO ENABLE BRANDS TO CREATE CAPTIVATING AND UNIQUE CONTENT

5.2.1.3

RISING DEMAND FOR HIGHLY PERSONALIZED CONTENT AND RECOMMENDATIONS TAILORED TO USER PREFERENCES AND BEHAVIOR

5.2.1.4

IMPROVED COLLABORATION AMONG INFLUENCER BRANDS TO DESIGN MORE EFFECTIVE INFLUENCER MARKETING CAMPAIGNS

5.2.2

RESTRAINTS

5.2.2.1

STRICTER REGULATIONS SURROUNDING USAGE OF AI IN SOCIAL MEDIA AND PRIVACY

5.2.3

OPPORTUNITIES

5.2.3.1

INTRODUCTION OF AI-POWERED DEEPFAKE DETECTION IN SOCIAL MEDIA TO IDENTIFY AND FLAG ALTERED CONTENT

5.2.3.2

AI-DRIVEN SOCIAL MEDIA ASSISTANTS TO OPTIMIZE ACCOUNT MANAGEMENT, CONTENT SHARING, AND USER ENGAGEMENT FOR BUSINESSES

5.2.4

CHALLENGES

5.2.4.1

CONTENT MISINTERPRETATION AND DEVALUATION

5.2.4.2

COMBATTING ECHO CHAMBERS WITH TRANSPARENT AND INCLUSIVE ALGORITHMS

5.3

EVOLUTION OF AI IN SOCIAL MEDIA MARKET

5.4

SUPPLY CHAIN ANALYSIS

5.5

ECOSYSTEM

5.5.1

SOCIAL MEDIA MANAGEMENT PROVIDERS

5.5.2

SOCIAL LISTENING PROVIDERS

5.5.3

INFLUENCER MARKETING PROVIDERS

5.5.4

REPORTING AND ANALYTICS PROVIDERS

5.5.5

AI TOOLS PROVIDERS BY USE CASE

5.5.5.1

CUSTOMER SERVICE PROVIDERS

5.5.5.2

SALES & MARKETING

5.5.5.3

5.5.6

END USERS

5.6

CASE STUDY ANALYSIS

5.6.1

EMPLIFI TRANSFORMED CUSTOMER ENGAGEMENT SYSTEM OF DINE BRANDS BY REVOLUTIONIZING STRATEGY AND AMPLIFYING SOCIAL CARE

5.6.2

LATELY'S AI-DRIVEN STRATEGY AMPLIFIED CONTENT REACH AND ENGAGEMENT, BOOSTING SUPPORTING STRATEGIES AND BRAND VISIBILITY

5.6.3

SPRINKLR'S UNIFIED PLATFORM ENHANCED COSTA CRUISES' SOCIAL MEDIA STRATEGY AND CUSTOMER ENGAGEMENT

5.6.4

AI-POWERED SOCIAL LISTENING FROM DASH HUDSON BOOSTED BRAND INSIGHTS FOR SUMMER FRIDAYS

5.6.5

KETTLER ENGAGED CUSTOMERS ACROSS ITS EXTENSIVE REAL ESTATE PORTFOLIO USING SPROUT SOCIAL

5.7

TECHNOLOGY ANALYSIS

5.7.1

KEY TECHNOLOGIES

5.7.1.1

NLP & DEEP LEARNING

5.7.1.2

COMPUTER VISION

5.7.1.3

CONVERSATIONAL AI

5.7.1.4

RECOMMENDATION SYSTEMS

5.7.1.5

SPEECH & VOICE RECOGNITION

5.7.1.6

SPEECH & TEXT

5.7.1.7

DEEPFAKE DETECTION

5.7.2

ADJACENT TECHNOLOGIES

5.7.2.1

AR & VR

5.7.2.2

BLOCKCHAIN

5.7.2.3

IOT

5.7.2.4

RPA

5.7.2.5

BIG DATA ANALYTICS

5.7.3

COMPLEMENTARY TECHNOLOGIES

5.7.3.1

CLOUD COMPUTING

5.7.3.2

EDGE COMPUTING

5.7.3.3

5G CONNECTIVITY

5.7.3.4

OCR

5.8

KEY CONFERENCES AND EVENTS, 2025-2026

5.9

INVESTMENT LANDSCAPE AND FUNDING SCENARIO

5.10

REGULATORY LANDSCAPE

5.10.1

REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

5.10.2

REGULATORY FRAMEWORK

5.10.2.1

NORTH AMERICA

5.10.2.1.1

5.10.2.1.2

CANADA

5.10.2.2

EUROPE

5.10.2.2.1

5.10.2.2.2

FRANCE

5.10.2.2.3

GERMANY

5.10.2.2.4

SPAIN

5.10.2.3

ASIA PACIFIC

5.10.2.3.1

AUSTRALIA

5.10.2.3.2

CHINA

5.10.2.3.3

INDIA

5.10.2.3.4

JAPAN

5.10.2.3.5

SOUTH KOREA

5.10.2.3.6

SINGAPORE

5.10.2.3.7

TAIWAN

5.10.2.4

MIDDLE EAST & AFRICA

5.10.2.4.1

UAE

5.10.2.4.2

SAUDI ARABIA

5.10.2.4.3

QATAR

5.10.2.4.4

EGYPT

5.10.2.4.5

SOUTH AFRICA

5.10.2.4.6

KENYA

5.10.2.4.7

NIGERIA

5.10.2.5

LATIN AMERICA

5.10.2.5.1

BRAZIL

5.10.2.5.2

MEXICO

5.10.2.5.3

ARGENTINA

5.11

PATENT ANALYSIS

5.11.1

METHODOLOGY

5.11.2

PATENTS FILED, BY DOCUMENT TYPE

5.11.3

INNOVATIONS AND PATENT APPLICATIONS

5.11.3.1

TOP 10 PATENT APPLICANTS

5.12

PRICING ANALYSIS

5.12.1

AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY PRODUCT TYPE

5.12.2

INDICATIVE PRICING ANALYSIS, BY USE CASE

5.13

PORTER’S FIVE FORCES ANALYSIS

5.13.1

THREAT OF NEW ENTRANTS

5.13.2

THREAT OF SUBSTITUTES

5.13.3

BARGAINING POWER OF SUPPLIERS

5.13.4

BARGAINING POWER OF BUYERS

5.13.5

INTENSITY OF COMPETITIVE RIVALRY

5.14

TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS

5.15

KEY STAKEHOLDERS AND BUYING CRITERIA

5.15.1

KEY STAKEHOLDERS IN BUYING PROCESS

5.15.2

BUYING CRITERIA

5.16

IMPACT OF GENERATIVE AI ON AI IN SOCIAL MEDIA MARKET

5.16.1

TOP USE CASES & MARKET POTENTIAL

5.16.1.1

KEY USE CASES

5.16.2

AUTOMATED CONTENT CREATION

5.16.3

PERSONALIZATION AND TARGETING

5.16.4

ENHANCED CUSTOMER INTERACTION

5.16.5

INFLUENCER MARKETING AND SOCIAL LISTENING

5.16.6

CONTENT MODERATION AND COMPLIANCE

5.16.7

CREATIVE INNOVATION AND EXPERIMENTATION

AI IN SOCIAL MEDIA MARKET, BY PRODUCT TYPE

Market Size & Growth Rate Forecast Analysis to 2029 in USD Million | 32 Data Tables

106

6.1

INTRODUCTION

6.1.1

PRODUCT TYPE: AI IN SOCIAL MEDIA MARKET DRIVERS

6.1.2

CONTENT CREATION & OPTIMIZATION

6.1.2.1

CONTENT GENERATION

6.1.3

CONTENT IDEA GENERATION

6.1.3.1

UTILIZING AI TOOLS FOR GENERATING ENGAGING CONTENT IDEAS BASED ON TRENDS, AUDIENCE INSIGHTS, AND COMPETITOR DATA

6.1.4

TEXT CREATION

6.1.4.1

LEVERAGING AI-POWERED TEXT GENERATION TO OPTIMIZE AND STREAMLINE SOCIAL MEDIA CONTENT CREATION

6.1.5

VIDEO CREATION

6.1.5.1

HARNESSING AI FOR EFFICIENT VIDEO CREATION AND ENGAGEMENT IN SOCIAL MEDIA MARKET

6.1.6

IMAGE CREATION

6.1.6.1

EMPOWERING SOCIAL MEDIA ENGAGEMENT THROUGH AI-DRIVEN IMAGE CREATION AND ENHANCEMENT

6.1.7

SOCIAL MEDIA CONTENT ANALYTICS

6.1.7.1

LEVERAGING AI-DRIVEN SOCIAL MEDIA CONTENT ANALYTICS FOR AUDIENCE INSIGHTS

6.1.8

INFLUENCER MARKETING

6.1.8.1

INFLUENCER DISCOVERY

6.1.8.1.1

INFLUENCER DISCOVERY MAXIMIZES MARKETING IMPACT FOR SOCIAL MEDIA CAMPAIGNS

6.1.8.2

CAMPAIGN MANAGEMENT

6.1.8.2.1

AI-POWERED CAMPAIGN MANAGEMENT FOR ENHANCED SOCIAL MEDIA SUCCESS TO DRIVE GROWTH

6.1.8.3

PERFORMANCE TRACKING

6.1.8.3.1

UTILIZING AI FOR REAL-TIME PERFORMANCE TRACKING TO PROVIDE ACTIONABLE INSIGHTS

6.1.9

SOCIAL MEDIA MANAGEMENT

6.1.9.1

SCHEDULING AND PUBLISHING

6.1.9.1.1

OPTIMIZING CONTENT DELIVERY WITH AI-DRIVEN SCHEDULING AND PUBLISHING

6.1.9.2

SOCIAL MEDIA LISTENING

6.1.9.2.1

ENHANCING SOCIAL MEDIA LISTENING WITH AI-POWERED INSIGHTS

6.1.9.3

SOCIAL MEDIA COLLABORATION

6.1.9.3.1

EMPOWERING SOCIAL MEDIA COLLABORATION WITH AI-DRIVEN SOLUTIONS

6.1.10

AUDIENCE TARGETING & ENGAGEMENT

6.1.10.1

SOCIAL MEDIA ENGAGEMENT

6.1.10.1.1

TRANSFORMING SOCIAL MEDIA ENGAGEMENT THROUGH AI-DRIVEN STRATEGIES

6.1.10.2

AUDIENCE AND SEGMENTATION

6.1.10.2.1

HARNESSING AI FOR CONTENT CREATION, INSIGHTS, AND ENGAGEMENT OPTIMIZATION FOR EMPOWERING MARKETING TEAMS

6.1.11

REPORTING & ANALYTICS

6.1.11.1

PERFORMANCE TRACKING

6.1.11.1.1

OPTIMIZING CAMPAIGN SUCCESS: POWER OF AI IN PERFORMANCE TRACKING AND METRICS ANALYSIS

6.1.11.2

SENTIMENT ANALYSIS

6.1.11.2.1

TAILORING STRATEGIES FOR ENHANCED ENGAGEMENT AND BRAND LOYALTY

6.1.11.3

PREDICTIVE ANALYTICS

6.1.11.3.1

LEVERAGING PREDICTIVE ANALYTICS BY DRIVING ENGAGEMENT AND PERSONALIZATION IN SOCIAL MEDIA MARKETING

6.1.12

ECOMMERCE & CONVERSION OPTIMIZATION

6.1.12.1

ECOMMERCE RETENTION OPTIMIZATION PLATFORM

6.1.12.1.1

AI-DRIVEN RETENTION STRATEGIES FOR ECOMMERCE SUCCESS EMPOWERS CUSTOMER LOYALTY

6.1.12.2

CONTENT PERSONALIZATION ENGINES

6.1.12.2.1

HARNESSING PERSONALIZATION ENGINES: ELEVATING ENGAGEMENT AND BRAND LOYALTY IN SOCIAL MEDIA MARKETING

6.1.13

CONTENT STRATEGY

6.1.13.1

CONTENT DISCOVERY

6.1.13.1.1

REVOLUTIONIZING USER EXPERIENCE: AI-DRIVEN CONTENT DISCOVERY FOR PERSONALIZED ENGAGEMENT

6.1.13.2

AI CONTENT WORKFLOW

6.1.13.2.1

AI-DRIVEN CONTENT WORKFLOW STREAMLINES SUCCESS FOR SOCIAL MEDIA EXCELLENCE

6.2

PRODUCT BY DEPLOYMENT MODE

6.2.1

CLOUD

6.2.1.1

CLOUD DEPLOYMENT PROMOTES COLLABORATION THROUGH SHARED ACCESS TO INSIGHTS AND APPLICATIONS

6.2.2

ON-PREMISES

6.2.2.1

ON-PREMISES PROVIDE FAST DATA PROCESSING AND REAL-TIME ANALYTICS

AI IN SOCIAL MEDIA MARKET, BY USE CASE

Market Size & Growth Rate Forecast Analysis to 2029 in USD Million | 12 Data Tables

130

7.1

INTRODUCTION

7.1.1

USE CASE: AI IN SOCIAL MEDIA MARKET DRIVERS

7.2

CUSTOMER SERVICE

7.2.1

AI CHATBOTS & VIRTUAL ASSISTANTS

7.2.1.1

AI TOOLS IMPROVE CUSTOMER SATISFACTION, ULTIMATELY INCREASING EFFICIENCY AND SUPPORT

7.2.2

BEHAVIOR ANALYSIS

7.2.2.1

BEHAVIOR ANALYSIS TRACKS USER INTERACTIONS, PREFERENCES, AND TRENDS THAT FOSTER PERSONALIZED EXPERIENCES

7.3

SALES

7.3.1

LEAD GENERATION

7.3.1.1

LEAD GENERATION ENABLES TARGETED CAMPAIGNS AND PERSONALIZED ENGAGEMENT, ENHANCING CONVERSION RATES AND NURTURING CUSTOMER RELATIONSHIPS

7.3.2

MARKET/INDUSTRY INSIGHTS

7.3.2.1

ADVANCEMENTS IN NLP AND ML ARE ENABLING ANALYTICS, ALLOWING BUSINESSES TO UNDERSTAND CONSUMER BEHAVIOR

7.4

MARKETING

7.4.1

CUSTOMER EXPERIENCE MANAGEMENT

7.4.1.1

ENHANCING CUSTOMER EXPERIENCE WITH AI-DRIVEN SOCIAL MEDIA MANAGEMENT

7.4.2

BRAND AWARENESS

7.4.2.1

OPTIMIZING BRAND AWARENESS AND MANAGEMENT WITH AI-DRIVEN SOCIAL MEDIA STRATEGIES

7.4.3

AD TARGETING & OPTIMIZATION

7.4.3.1

MAXIMIZING AD TARGETING AND OPTIMIZATION WITH AI-DRIVEN SOCIAL MEDIA STRATEGIES

7.4.4

PRODUCT DEVELOPMENT

7.4.4.1

DRIVING CONSUMER-CENTRIC PRODUCT DEVELOPMENT WITH AI-POWERED SOCIAL MEDIA INSIGHTS

7.4.5

COMPETITIVE ANALYSIS

7.4.5.1

LEVERAGING PREDICTIVE ANALYTICS AND AI FOR STRATEGIC COMPETITIVE ADVANTAGE IN SOCIAL MEDIA MARKETING

7.5

7.5.1

REPUTATION MANAGEMENT

7.5.1.1

AI HELPS DETECT NEGATIVE COMMENTS, REVIEWS, OR CONVERSATIONS THAT HARM BRAND’S REPUTATION

7.5.2

RECRUITMENT MARKETING

7.5.2.1

AI IN SOCIAL MEDIA ENHANCES RECRUITMENT BY PROVIDING DEEPER INSIGHTS, STREAMLINING PROCESSES, AND IMPROVING QUALITY OF HIRES

7.6

IT & SECURITY

7.6.1

RISK, PRIVACY, AND COMPLIANCE MANAGEMENT

7.6.1.1

NAVIGATING RISK, PRIVACY, AND COMPLIANCE IN AI SOCIAL MEDIA LANDSCAPE

AI IN SOCIAL MEDIA MARKET, BY END USER

Market Size & Growth Rate Forecast Analysis to 2029 in USD Million | 36 Data Tables

142

8.1

INTRODUCTION

8.1.1

END USER: AI IN SOCIAL MEDIA MARKET DRIVERS

8.2

ENTERPRISE

8.2.1

RETAIL & ECOMMERCE

8.2.1.1

DRIVING ECOMMERCE SUCCESS THROUGH AI-ENHANCED TARGETING AND CONSUMER INSIGHTS

8.2.2

HEALTHCARE & PHARMA

8.2.2.1

AI IN SOCIAL MEDIA TARGETS COMMUNICATION AND INSIGHTS IN HEALTHCARE AND PHARMA TO ENHANCE PATIENT ENGAGEMENT

8.2.3

BANKING & FINANCIAL SERVICES

8.2.3.1

RISE OF PERSONALIZED CUSTOMER INTERACTIONS IN BANKING AND FINANCIAL SERVICES THROUGH AI IN SOCIAL MEDIA

8.2.4

INSURANCE

8.2.4.1

INSURANCE ENABLES TARGETED MARKETING, EFFICIENT CLAIMS PROCESSING, AND IMPROVED SERVICE THROUGH REAL-TIME INTERACTIONS

8.2.5

NEWS & PUBLISHING AGENCIES

8.2.5.1

NEWS AND PUBLISHING AGENCIES ENHANCE AUDIENCE ENGAGEMENT AND IMPROVE RELEVANCE OF NEWS DELIVERY

8.2.6

ADVERTISING & CREATIVE MARKETING AGENCIES

8.2.6.1

DEMAND FOR PERSONALIZED CONTENT TO ENABLE TARGETED CAMPAIGNS THAT ENHANCE AUDIENCE ENGAGEMENT AND BRAND LOYALTY

8.2.7

PR AGENCIES

8.2.7.1

PR AGENCIES ENABLE TARGETED STRATEGIES THAT ENHANCE ENGAGEMENT AND OPTIMIZE BRAND COMMUNICATION EFFECTIVELY

8.2.8

SPORTS & GAMING

8.2.8.1

TRANSFORMING FAN ENGAGEMENT: IMPACT OF AI IN SPORTS AND GAMING ON SOCIAL MEDIA

8.2.9

TECHNOLOGY & SOFTWARE

8.2.9.1

DEMAND FOR PERSONALIZED USER EXPERIENCES, ENHANCING ENGAGEMENT THROUGH TARGETED CONTENT AND DATA-DRIVEN INSIGHTS

8.2.10

TRAVEL & HOSPITALITY

8.2.10.1

TRANSFORMING CUSTOMER ENGAGEMENT FOR ENHANCED PERSONALIZATION AND REAL-TIME SUPPORT IN TRAVEL AND HOSPITALITY

8.2.11

EDUCATION

8.2.11.1

DEMAND FOR AI-DRIVEN INSIGHTS AND PERSONALIZED SUPPORT IN EDUCATION SECTOR'S SOCIAL MEDIA STRATEGIES

8.2.12

TELECOMMUNICATIONS

8.2.12.1

TELECOMMUNICATIONS LEVERAGE AI ANALYTICS AND CHATBOTS TO DELIVER PERSONALIZED FOR EFFICIENT SUPPORT AND ENGAGEMENT

8.2.13

PROFESSIONAL SERVICE FIRMS

8.2.13.1

PROFESSIONAL SERVICE FIRMS ENABLE TARGETED CONTENT STRATEGIES TO ENHANCE CLIENT ENGAGEMENT AND OPTIMIZE MARKETING EFFORTS

8.2.14

OTHER ENTERPRISES

8.3

INDIVIDUAL USERS

8.3.1

INFLUENCERS & CONTENT MANAGERS

8.3.1.1

AI ANALYTICS EMPOWER INFLUENCERS & CONTENT MANAGERS TO CREATE TARGETED CAMPAIGNS THAT ENHANCE ENGAGEMENT AND BRAND LOYALTY

8.3.2

SOCIAL MEDIA MANAGERS

8.3.2.1

SOCIAL MEDIA MANAGERS LEVERAGE AI TOOLS TO ANALYZE VAST AMOUNTS OF DATA, INCLUDING USER BEHAVIOR, PREFERENCES, AND TRENDS

AI IN SOCIAL MEDIA MARKET, BY REGION

Comprehensive coverage of 7 Regions with country-level deep-dive of 18 Countries | 126 Data Tables.

164

9.1

INTRODUCTION

9.2

NORTH AMERICA

9.2.1

NORTH AMERICA: AI IN SOCIAL MEDIA MARKET DRIVERS

9.2.2

NORTH AMERICA: MACROECONOMIC IMPACT

9.2.3

9.2.3.1

ENHANCING PERSONALIZATION USING AI ALGORITHMS FOR INTEGRATION IN SOCIAL MEDIA TO TRANSFORM BRANDS AND FACILITATE DECISION-MAKING

9.2.4

CANADA

9.2.4.1

RISE OF INFLUENCER MARKETING TO PROMPT DEVELOPMENT OF AI TOOLS THAT IDENTIFY AND CONNECT BRANDS WITH SUITABLE INFLUENCERS

9.3

EUROPE

9.3.1

EUROPE: AI IN SOCIAL MEDIA MARKET DRIVERS

9.3.2

EUROPE: MACROECONOMIC IMPACT

9.3.3

9.3.3.1

AI-POWERED SOCIAL MEDIA INNOVATION ENHANCES ENGAGEMENT, COMPLIANCE, AND COMMERCE IN UK

9.3.4

GERMANY

9.3.4.1

RISE OF AI IN SOCIAL MEDIA IN GERMANY’S CORPORATE LANDSCAPE PROVIDING COMPETITIVE EDGE AND CONTENT MODERATION

9.3.5

FRANCE

9.3.5.1

DRIVING SOCIAL COMMERCE AND PERSONALIZATION: ROLE OF AI IN TRANSFORMING SOCIAL MEDIA IN FRANCE

9.3.6

ITALY

9.3.6.1

EMPOWERING ITALIAN SOCIAL MEDIA BY AI-DRIVEN PERSONALIZATION, COMMERCE, AND INFLUENCER MARKETING

9.3.7

SPAIN

9.3.7.1

AI IN SOCIAL MEDIA TO HELP ENHANCE SOCIAL MEDIA ENGAGEMENT AND COMMERCE IN SPAIN

9.3.8

REST OF EUROPE

9.4

ASIA PACIFIC

9.4.1

ASIA PACIFIC: AI IN SOCIAL MEDIA MARKET DRIVERS

9.4.2

ASIA PACIFIC: MACROECONOMIC IMPACT

9.4.3

CHINA

9.4.3.1

INTEGRATION OF AI IN SOCIAL MEDIA FACILITATES BETTER USER EXPERIENCE BY ANALYZING DATA PATTERNS AND PREFERENCES

9.4.4

JAPAN

9.4.4.1

GROWING INFLUENCE OF CONTENT TRENDS TO FUEL DEMAND FOR AI TECHNOLOGIES THAT ANALYZE AND OPTIMIZE ADVERTISING STRATEGIES

9.4.5

INDIA

9.4.5.1

INDIAN GOVERNMENT'S COMMITMENT TO AI AND DIGITAL INITIATIVES TO FUEL MARKET GROWTH

9.4.6

SOUTH KOREA

9.4.6.1

AI TO ENHANCE USER EXPERIENCES AND MARKETING STRATEGIES, STRENGTHENING SOUTH KOREA'S GLOBAL POSITION IN SOCIAL MEDIA

9.4.7

AUSTRALIA & NEW ZEALAND (ANZ)

9.4.7.1

GOVERNMENT INITIATIVES TO FUEL START-UP INNOVATION AND AI DEVELOPMENT IN AUSTRALIA AND NEW ZEALAND'S SOCIAL MEDIA LANDSCAPE

9.4.8

ASEAN COUNTRIES

9.4.8.1

ECOMMERCE BOOM TO DRIVE AI ADOPTION IN SOCIAL MEDIA, ENHANCING CUSTOMER EXPERIENCE AND STREAMLINING BUSINESS OPERATIONS

9.4.9

REST OF ASIA PACIFIC

9.5

MIDDLE EAST & AFRICA

9.5.1

MIDDLE EAST & AFRICA: AI IN SOCIAL MEDIA MARKET DRIVERS

9.5.2

MIDDLE EAST & AFRICA: MACROECONOMIC IMPACT

9.5.3

MIDDLE EAST

9.5.3.1

KSA

9.5.3.1.1

HARNESSING AI FOR SENTIMENT ANALYSIS, PERSONALIZED CONTENT, AND ENHANCED CUSTOMER SERVICE IN SOCIAL COMMERCE LANDSCAPE

9.5.3.2

UAE

9.5.3.2.1

UAE'S COMMITMENT TO REGULATING AI TECHNOLOGIES IN SOCIAL MEDIA MARKETING TO DRIVE MARKET GROWTH

9.5.3.3

QATAR

9.5.3.3.1

CAPITALIZING ON GLOBAL EVENTS: QATAR'S AI-DRIVEN SOCIAL MEDIA STRATEGIES AND COMMITMENT TO DATA PRIVACY

9.5.3.4

BAHRAIN

9.5.3.4.1

DRIVING AI ADOPTION IN SOCIAL MEDIA FOR ENHANCED CUSTOMER ENGAGEMENT AND INNOVATION

9.5.3.5

REST OF MIDDLE EAST

9.5.4

AFRICA

9.6

LATIN AMERICA

9.6.1

LATIN AMERICA: AI IN SOCIAL MEDIA MARKET DRIVERS

9.6.2

LATIN AMERICA: MACROECONOMIC IMPACT

9.6.3

BRAZIL

9.6.3.1

RISE OF DIGITAL MARKETING INITIATIVES HAS PROPELLED ADOPTION OF AI TECHNOLOGIES AS BUSINESSES STRIVE TO ENHANCE THEIR ONLINE PRESENCE AND DRIVE ENGAGEMENT ON SOCIAL MEDIA PLATFORMS

9.6.4

MEXICO

9.6.4.1

LEVERAGING INFLUENCER MARKETING IN MEXICO'S AI-DRIVEN SOCIAL MEDIA LANDSCAPE

9.6.5

ARGENTINA

9.6.5.1

HARNESSING INFLUENCER MARKETING TO ENGAGE WIDER AUDIENCES IN ARGENTINA'S AI IN SOCIAL MEDIA LANDSCAPE

9.6.6

REST OF LATIN AMERICA

COMPETITIVE LANDSCAPE

Analyze market dominance with strategic insights into key players' revenue and market share.

223

10.1

OVERVIEW

10.2

KEY PLAYER STRATEGIES/RIGHT TO WIN

10.3

REVENUE ANALYSIS

10.4

MARKET SHARE ANALYSIS

10.4.1

MARKET RANKING ANALYSIS

10.5

PRODUCT COMPARATIVE ANALYSIS

10.5.1

PRODUCT COMPARATIVE ANALYSIS, BY CONTENT CREATION & OPTIMIZATION

10.5.1.1

AI CONTENT WRITER (HUBSPOT)

10.5.1.2

OWLYWRITER AI (HOOTSUITE)

10.5.1.3

DEEP SOCIAL PLATFORM (LATELY)

10.5.1.4

CONTENT DISCOVERY (BUZZSUMO)

10.5.2

PRODUCT COMPARATIVE ANALYSIS, BY INFLUENCER MARKETING

10.5.2.1

INFLUENCER MARKETING PLATFORM (UPFLUENCE)

10.5.2.2

ASPIRE’S INFLUENCER SEARCH ENGINE (ASPIRE)

10.5.2.3

CREATOR MARKETING SOLUTION (CREATORIQ)

10.5.2.4

INFLUENCE (BRANDWATCH)

10.5.3

PRODUCT COMPARATIVE ANALYSIS, BY SOCIAL MEDIA MANAGEMENT

10.5.3.1

SPRINKLR SOCIAL (SPRINKLR)

10.5.3.2

AI-POWERED SOCIAL LISTENING (HOOTSUITE)

10.5.3.3

SOCIAL MEDIA MANAGEMENT (BRANDWATCH)

10.6

COMPANY VALUATION AND FINANCIAL METRICS

10.7

COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023

10.7.1

STARS

10.7.2

EMERGING LEADERS

10.7.3

PERVASIVE PLAYERS

10.7.4

PARTICIPANTS

10.7.5

COMPANY FOOTPRINT: KEY PLAYERS

10.7.5.1

COMPANY FOOTPRINT

10.7.5.2

REGIONAL FOOTPRINT

10.7.5.3

PRODUCT TYPE FOOTPRINT

10.7.5.4

USE-CASE FOOTPRINT

10.7.5.5

END-USER FOOTPRINT

10.8

COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023

10.8.1

PROGRESSIVE COMPANIES

10.8.2

RESPONSIVE COMPANIES

10.8.3

DYNAMIC COMPANIES

10.8.4

STARTING BLOCKS

10.8.5

COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023

10.8.5.1

DETAILED LIST OF KEY START-UPS/SMES

10.8.5.2

COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES

10.9

COMPETITIVE SCENARIO AND TRENDS

10.9.1

PRODUCT LAUNCHES & ENHANCEMENTS

10.9.2

DEALS

COMPANY PROFILES

In-depth Company Profiles of Leading Market Players with detailed Business Overview, Product and Service Portfolio, Recent Developments, and Unique Analyst Perspective (MnM View)

254

11.1

INTRODUCTION

11.2

KEY PLAYERS

11.2.1

GOOGLE

11.2.1.1

BUSINESS OVERVIEW

11.2.1.2

PRODUCTS/SOLUTIONS/SERVICES OFFERED

11.2.1.3

RECENT DEVELOPMENTS

11.2.1.3.1

PRODUCT LAUNCHES AND ENHANCEMENTS

11.2.1.3.2

DEALS

11.2.1.4

MNM VIEW

11.2.1.4.1

KEY STRENGTHS

11.2.1.4.2

STRATEGIC CHOICES

11.2.1.4.3

WEAKNESSES AND COMPETITIVE THREATS

11.2.2

Methodology

The study involved major activities in estimating the current market size for the AI in social media market. Exhaustive secondary research was done to collect information on the AI in social media market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI in social media market.

Secondary Research

The market for the companies offering AI in social media solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.

In the secondary research process, various secondary sources were referred to for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of AI in social media vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI in social media market. After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI in social media solutions offered by various market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key player strategies. In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

AI in Social Media Market Size, and Share

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the cell culture market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

AI in Social Media Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.

Market Definition

AI in social media is a tool designed to upgrade and streamline social media content and target audiences. These tools utilize advanced ML algorithms to automate key processes such as content generation, audience sentiments & engagement, and social media data analysis at lower time periods and effort required by social media teams. With capabilities such as sentiment analysis, predictive analytics, personalized content recommendations, and automated response systems, these social media AI tools support brands in maintaining a dynamic presence on various social media platforms, ensuring they stay pertinent in a rapidly developing digital landscape.

Stakeholders

Risk Assessment and software developers
AI in social media software vendors
Social Media Managers
AI in Social Media Service Providers
Marketers
Business owners
Distributors and Value-added Resellers (VARs)
Independent Software Vendors (ISV)
Managed service providers
Support & maintenance service providers
System Integrators (SIs)/migration service providers
OEMs
Technology providers

Report Objectives

To define, describe, and predict the AI in social media market by product (by type and deployment mode), use cases, end users, and region
To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
To analyze the micro markets with respect to individual growth trends, prospects, and their contributions to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI in social media market
To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
To forecast the market size of five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
To profile key players and comprehensively analyze their market rankings and core competencies
To analyze competitive developments, such as partnerships, new product launches, and mergers & acquisitions, in the AI in social media market
To analyze the impact of the recession across all regions in the AI in social media market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product analysis

Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic analysis

Further breakup of the North American AI in social media market
Further breakup of the European AI in social media market
Further breakup of the Asia Pacific AI in social media market
Further breakup of the Middle Eastern & African AI in social media market
Further breakup of the Latin America AI in social media market

Key Questions Addressed by the Report

What are the opportunities for the AI in social media market?

There are various opportunities in the AI in social media market, such as introducing AI-powered deep fake detection to identify and flag altered content and AI-driven social media assistants to optimize account management, content sharing, and user engagement for businesses.

Define the AI in social media market.

AI social media tools offer a range of powerful features designed to enhance and streamline social media management and content creation. These tools utilize advanced algorithms to automate processes like content generation, audience engagement, and data analysis, significantly reducing the time and effort required by social media teams. With predictive analytics, targeted content recommendations, and automated response systems, these AI tools help brands maintain a dynamic presence on various platforms, ensuring they stay relevant in a rapidly evolving digital landscape.

Which region is expected to have the largest market share in the AI in social media market?

The North American region will acquire the largest share of the AI in social media market during the forecast period.

What are the major players covered in the report?

Some of the key companies in the AI in social media market are Google (US), Meta (US), IBM (US), Sprout Social (US), Sprinklr (US), AWS (US), LivePerson (US), HubSpot (US), Microsoft (US), Adobe (US), Baidu (China), OpenAI (US), Hootsuite (US), Qualtrics (US), Brandwatch (UK), Converseon (US), Meltwater (US), Quid (US), Digimind (France), CreatorIQ (US), Aspire.io (US), Lately.AI (US), SocialPilot (US), Copy.ai (US), Flick (UK), Dash Hudson (US), Jasper (US), Upfluence (US), Ocoya (Lithuania), Upgrow (US), StoryChief (Belgium), Genius.AI (UAE), ContentStudio (US), Emplifi (US), Lumen5 (US), Buffer (US), Narrato (India), Mentionlytics (UK), Kapwing (US), Predis.AI (India), Pictory (US), Midjourney (US), and Synthesia (UK).

How big is the global AI in social media market today?

The global AI in social media market is projected to grow from USD 2.2 billion in 2024 to USD 10.3 billion in 2029, at a CAGR of 36.2% during the forecast period.

AI in Social Media Market by Product Type (Social Media Management (Social Media Listening), Content Generation Type (Text, Video, Image, & Content Idea), Influencer Marketing, Reporting & Analytics, Content Strategy), End User - Global Forecast to 2029

OVERVIEW

KEY TAKEAWAYS

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

MARKET DYNAMICS

Driver: Rising demand for personalization at scale

Restraint: High integration complexity

Opportunity: New monetization models

Challenging: Balancing creativity with compliance

AI in Social Media Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

MARKET ECOSYSTEM

MARKET SEGMENTS

AI in Social Media Market, by Product Type

AI in Social Media Market, by Content Generation Type

AI in Social Media Market, by Use Case

AI in Social Media Market, by End User

REGION

Asia Pacific to be the fastest-growing region in the global AI in social media market during the forecast period

AI in Social Media Market: COMPANY EVALUATION MATRIX

KEY MARKET PLAYERS

MARKET SCOPE

WHAT IS IN IT FOR YOU: AI in Social Media Market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

RECENT DEVELOPMENTS

Table of Contents

Methodology

Secondary Research

Primary Research

Market Size Estimation

AI in Social Media Market : Top-Down and Bottom-Up Approach

Data Triangulation

Market Definition

Stakeholders

Report Objectives

Available Customizations

Product analysis

Geographic analysis

Company information

Key Questions Addressed by the Report

TABLE OF CONTENTS

METHODOLOGY

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Growth opportunities and latent adjacency in AI in Social Media Market