Artificial Intelligence (AI) In Social Media Market Size, Share, Opportunities, And Trends By Technology (Machine Learning And Deep Learning, Natural Language Processing (NLP)), By Application (Sales And Marketing, Customer Experience Management, Predictive Risk Assessment, Image Recognition), By End User (Retail, BFSI, E-commerce, Media and Advertising, Others), And By Geography - Forecasts From 2024 To 2029

The AI in the social media market is expected to grow at a CAGR of 28.53%, reaching a market size of US$6,748.861 million in 2029 from US$1,924.194 million in 2024.

AI (artificial intelligence) is quickly altering the social media landscape. Social networking sites, companies, and individuals are leveraging AI systems to boost their events. With AI, social media platforms can recommend pertinent content more accurately, detect and remove toxic postings, and personalize their environment for users. Specifically, AI powers personalized recommendation tools and newsfeed features, among other things.

Moreover, it deletes spam messages and harmful comments like those that incite hate speech. In addition to that, businesses utilize AI to enhance their online marketing efforts through customer relationship management. Some of the tasks performed include post creation and scheduling, replying to comments or messages, and analyzing social data, among others. These systems also design personalized Ads in different forms to cater to client needs. Individuals, too, have adopted an approach involving this technology to improve how they use their accounts within such platforms. Content-producing tools powered by AI help in filtering undesired messages and multitasking across various web spaces, whereby a single user can utilize multiple profiles simultaneously. Users are further safeguarded from cyber scams and stalking with this technology used in social media.

What are the artificial intelligence (AI) in social media market growth drivers?

• Content personalization is anticipated to increase the market demand

Social media platforms use AI algorithms to examine users' preferences, behaviors, and data. With this, tailor-made news feeds, targeted ads, and suggested posts are presented to users. These personalized experiences enhance user engagement and translate into longer tasks on such platforms, resulting in increased ad revenues. In general, social media platforms seeking user experience, optimization, and financial success, consider AI technology an invaluable resource.

• Efficient customer service and enhanced user experience are anticipated to drive the market growth

Chatbots using AI technology simplify managing numerous customer interactions. Since they provide instant and accurate answers, customer satisfaction is boosted while human customer service representatives have a reduced workload. Thus, businesses can greatly improve their ability to serve customers and make their operations more efficient if they take advantage of AI-based chatbots.

Further, the incredibly useful image, video, and audio recognition and tagging AI-powered algorithms help users easily search and find relevant content (in content writing) quickly and efficiently. AI-driven content moderation for social media platforms is also essential in creating a safe online atmosphere by filtering out harmful posts or remarks, allowing netizens to connect respectfully. This technology has completely changed how we engage in media and interact with ourselves on the internet.

• Growing use of data analytics with increased automation

Through sophisticated machine learning techniques and algorithms, businesses are now able to analyze their social media data using AI. Consequently, organizations benefit from AI tools that help them understand their customers better, such as tracking trends, enabling them to adjust their marketing strategies. This approach also allows business organizations to make more ideal decisions, hence staying ahead of other market players and maintaining relevance in contemporary dynamic markets.

By introducing artificial intelligence into social media management, the sector has significantly transformed. Tasks such as scheduling posts, optimizing content, and tracking performance can now be automated with this technology. By doing so, social media administrators have been able to save time and energy for other important issues. An AI-based assistant can take over these minor repetitive jobs and leave managers with more strategic ones that enhance their productivity and online presence.

What are the major challenges restraining artificial intelligence (AI) in social media market?

• Privacy concerns and data security issues are anticipated to impede market growth

Concerns about data safety and privacy hinder AI in the social media market. AI technologies' massive collection and analysis of user data raise issues of data protection and privacy violations. Consequently, it’s expected that as customers’ awareness of their digital footprints heightens, higher standards will be required for data security and privacy.

Hence, people may develop reservations against brands employing AI to analyze social media activities, negatively impacting consumer uptake and trust. In addition, strict regulatory frameworks guiding data confidentiality, such as the GDPR in Europe, put extra compliance obligations on businesses, thereby limiting the scope of using AI on social media platforms.

What are the key geographical trends shaping the artificial intelligence (AI) in social media market?

• Asia Pacific is witnessing exponential growth during the forecast period

In the foreseeable future, significant growth is anticipated for AI in the social media market in the Asia Pacific region. Various fields, including artificial intelligence, robotics, and automation, have historically been characterized by high levels of innovation in this particular region, contributing to a conducive environment for AI’s expansion in this sector. Companies and individuals are increasingly adopting online platforms as digital trade progresses. As such, the adoption of AI-powered features on social media networks can subsequently be expected in this region.

Moreover, advances in digital infrastructure, such as improved internet connectivity, data centers, and cloud computing, enable more efficient processing of AI in the Asia Pacific region. To enhance financial cooperation among trade partners involved and integrate markets, regional governments have also urged togetherness and interconnectivity.

Recent developments in the artificial intelligence (AI) in social media market

• In October 2023, Google Cloud and Snap Inc. (Snap) collaborated to support Snapchat's growth. Under the terms of the agreement, Snap will leverage Google's data, AI/ML, and analytics technologies. Having worked together for over a decade, the two companies will collaborate more in the future to deliver more personalized services and enhance user experience.
• In August 2023, Veritone, Inc., the creator of the hyper-extensive corporate artificial intelligence (AI) platform aiWARE, announced an expansion of its partnership with Amazon Web Services (AWS). Veritone became a part of the AWS for Media & Entertainment program in 2022. This program helped industry professionals swiftly identify AWS capabilities tailored to their needs and accelerate transformation across five major industry innovation hubs.

Artificial Intelligence (AI) In Social Media Market Scope:

 

Report Metric	Details
AI in Social Media Market Size in 2024	US$1,924.194 million
AI in Social Media Market Size in 2029	US$6,748.861 million
Growth Rate	CAGR of 28.53%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Million
Segmentation	Technology Application End User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI in Social Media Market	Adobe AWS Google LLC IBM Corp. Meta
Customization Scope	Free report customization with purchase

The artificial intelligence (AI) in social media market is analyzed into the following segments:

• By Technology
  • Machine Learning and Deep Learning
  • Natural Language Processing (NLP)
• By Application
  • Sales and Marketing
  • Customer Experience Management
  • Predictive Risk Assessment
  • Image recognition
• By End User
  • Retail
  • BFSI
  • E-commerce
  • Media and Advertising
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN SOCIAL MEDIA MARKET BY TECHNOLOGY

5.1. Introduction

5.2. Machine Learning and Deep Learning

5.3. Natural Language Processing (NLP)

6. AI IN SOCIAL MEDIA MARKET BY APPLICATION

6.1. Introduction

6.2. Sales and Marketing

6.3. Customer Experience Management

6.4. Predictive Risk Assessment

6.5. Image recognition

7. AI IN SOCIAL MEDIA MARKET BY END-USER

7.1. Introduction

7.2. Retail

7.3. BFSI

7.4. E-commerce

7.5. Media and Advertising

7.6. Others

8. AI IN SOCIAL MEDIA MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Technology

8.2.2. By Application

8.2.3. By End-User

8.2.4. By Country

8.2.4.1. United States

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Technology

8.3.2. By Application

8.3.3. By End-User

8.3.4. By Country 

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Technology

8.4.2. By Application

8.4.3. By End-User

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Italy

8.4.4.5. Spain   

8.4.4.6. Others

8.5. Middle East and Africa

8.5.1. By Technology

8.5.2. By Application

8.5.3. By End-User

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Technology

8.6.2. By Application

8.6.3. By End-User

8.6.4. By Country

8.6.4.1. Japan

8.6.4.2. China

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Taiwan

8.6.4.6. Thailand

8.6.4.7. Indonesia

8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Adobe

10.2. AWS

10.3. Google LLC

10.4. IBM Corp.

10.5. Meta

10.6. Microsoft

10.7. Salesforce Inc.

Adobe

AWS

Google LLC

IBM Corp.

Meta

Microsoft

Salesforce Inc.