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AI in Social Media Market

AI in Social Media Market Size, Share & Trends Analysis Report, By Technology (Machine Learning and Deep Learning, NLP), By Application (Sales and Marketing, Customer Experience Management, Image Recognition, Predictive Risk Assessment), By Service (Managed Service, Professional Service), By Organization Size By End User, By Region, Forecasts, 2024-2031

Report ID : 2762 | Published : 2024-09-25 | Pages: 172 | Format: PDF/EXCEL

The AI in Social Media Market Size was valued at USD 1.82 Bn in 2023 and is predicted to reach USD 10.42 Bn by 2031 at a 25.1% CAGR during the forecast period for 2024-2031.

ai in smart cities

Social media platforms widely use AI to improve user experience, produce content, target advertisements, and offer better services. Additionally, trend analysis, fraud detection, image and video identification, and personalized content recommendations are common uses of AI in social media usage. These are but a few instances of AI being used in social media. AI is being used in social media in ever-changing ways, and new apps are being created to give users even better experiences. The market is expanding due to the increasing use of AI in social media applications for efficient advertising and the expanding acceptance of AI in social media as a real-time source of audience targeting data.

Furthermore, the market for artificial intelligence in social media is expanding due to the explosion of data produced by these platforms. However, worries over privacy and data security are impeding this market's expansion. On the other hand, throughout the projection period, it is projected that the growing accessibility of machine-learning applications for social media will present several prospects for market growth.

Competitive Landscape

Some of the Major Key Players in the AI in Social Media Market are

  • Google LLC
  • Microsoft Corporation
  • Meta
  • Amazon Web Services, Inc
  • IBM Corporation
  • Adobe Systems Incorporated
  • Salesforce.com Inc.
  • Baidu Inc.
  • Snap Inc.
  • Clarabridge Inc.
  • HootSuite Media Inc.
  • Meltwater News US Inc.
  • Crimson Hexagon Inc.
  • Sprout Social Inc.

Market Segmentation:

The AI in social media market is segmented based on technology, application, service, organization size and end-use industry. The market is segmented based on technology as machine learning, deep learning, and natural language processing (NLP). The market is segmented by application into customer experience management, sales and marketing, image recognition, predictive risk assessment, and other applications. Based on service, the industry is bifurcated into managed service and professional service. Based on the organization size, the global AI in social media market is divided into small & medium enterprises and large enterprises. Based on the end-use industry, the market is segmented into retail, e-commerce, banking, financial services and insurance (BFSI), media and advertising, education and other end-user industries.

Based on Type, the Machine Learning and Deep Learning Segment is Accounted as a Major Contributor to the AI in Social Media Market

The machine learning and deep learning segment is expected to hold a major share of the global AI in social media market. Market expansion is driven by social media platforms' and companies' increasing embrace of ML and DL technology. Businesses invest capital into these technologies to improve their products and remain competitive. Additionally, more user retention and platform utilization result from ML and DL's capacity to customize and engage, which can boost income from both advertising and subscription models. Additionally, social media platforms can handle massive data volumes, scale their operations effectively, and provide continuous performance using ML and DL solutions, all promoting long-term revenue development.

The Retail Segment Witnessed Growth at a Rapid Rate

Retail segment is projected to grow at a rapid rate in the global AI in social media market. Retail industry development is anticipated to be driven by the increasing use of social media for online buying and other e-commerce activities. As a means of enhancing their interactions with customers, social media platforms are growing in popularity among retail enterprises. Retail firms may make their promotions more effective, rank higher than their rivals, and anticipate marketing trends with the use of artificial intelligence in social media. Data-driven in-store experiences, personalized product recommendations, and picture recognition searches through social media posts to uncover hidden patterns are all made feasible by artificial intelligence (AI). Given that businesses rely on consumers spending more money and that they face fierce competition from e-commerce platforms, retailers such as Target, Walmart, and others must leverage artificial intelligence (AI) to increase sales and customer loyalty.

In the Region, North America AI in Social Media Market Holds a Significant Revenue Share.

The North America AI in social media market is expected to register the highest market share in terms of revenue in the near future. The market growth in the region is attributed to the rising investment by the tech companies. For instance, the Canadian start-up Cohere Inc. is in talks to receive a $200 million investment from Alphabet Inc. subsidiary Google. A long-term agreement was reached between the artificial intelligence startup and Google to supply processing power for the software models' training. In addition, Asia Pacific is projected to grow at a rapid rate in the global AI in social media market due to rapid digital transformation and increasing government initiatives and investments.

Recent Developments:

  • In October 2022, New AI features from Adobe boost creativity and accuracy across Creative Cloud products, and the industry's best all-in-one tool, Adobe Express, makes it easy for anybody to create original, high-quality content. Additionally, Adobe declared that it would use its Content Authenticity Initiative (CAI) to support creators to ensure transparency when generative AI is used. With Adobe Express's new AI features, customers can now perform Quick Actions like automatically compressing photos and videos for social media sharing, finding the best color palettes for maximizing visual aspects, and instantly searching through over 22,000 Adobe Fonts to find the perfect typeface.

AI in Social Media Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 1.82 Bn

Revenue Forecast In 2031

USD 10.42 Bn

Growth Rate CAGR

CAGR of 25.1% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Technology, By Application, By Service, By Organization Size, By End-User Industry and By Region

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Google LLC, Microsoft Corporation, Meta, Amazon Web Services, Inc., IBM Corporation, Adobe Systems Incorporated, Salesforce.com Inc., Baidu Inc., Snap Inc., Clarabridge Inc., HootSuite Media Inc., Meltwater News US Inc., Crimson Hexagon Inc., and Sprout Social Inc.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

 

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Social Media Market Snapshot

Chapter 4. Global AI in Social Media Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Technology Estimates & Trend Analysis
5.1. by Technology & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Technology:

5.2.1. Machine Learning and Deep Learning
5.2.2. Natural Language Processing (NLP)

Chapter 6. Market Segmentation 2: By Service Estimates & Trend Analysis
6.1. By Service & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Service:

6.2.1. Managed Service
6.2.2. Professional Service

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

7.2.1. Customer Experience Management
7.2.2. Sales and Marketing
7.2.3. Image Recognition
7.2.4. Predictive Risk Assessment
7.2.5. Other Applications

Chapter 8. Market Segmentation 4: Organization Size Estimates & Trend Analysis
8.1. Organization Size & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following Organization Size:

8.2.1. Small and Medium Enterprises
8.2.2. Large Enterprises

Chapter 9. Market Segmentation 5: End-User Industry Estimates & Trend Analysis
9.1. End-User Industry & Market Share, 2019 & 2031
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following End-User Industry:

9.2.1. Retail
9.2.2. E-commerce
9.2.3. Banking, Financial Services and Insurance (BFSI)
9.2.4. Media and Advertising
9.2.5. Education
9.2.6. Other End-user Industries

Chapter 10. AI in Social Media Market Segmentation 6: Regional Estimates & Trend Analysis

10.1. North America
10.1.1. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
10.1.2. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts By Service, 2024-2031
10.1.3. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.1.4. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts Organization Size, 2024-2031
10.1.5. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts End-User Industry, 2024-2031
10.1.6. North America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

10.2. Europe
10.2.1. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
10.2.2. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts By Service, 2024-2031
10.2.3. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.2.4. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts Organization Size, 2024-2031
10.2.5. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts End-User Industry, 2024-2031
10.2.6. Europe AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

10.3. Asia Pacific
10.3.1. Asia Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
10.3.2. Asia Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts By Service, 2024-2031
10.3.3. Asia Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.3.4. Asia-Pacific Thermal Cyclers Asia-Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts Organization Size, 2024-2031
10.3.5. Asia-Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts End-User Industry, 2024-2031
10.3.6. Asia Pacific AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

10.4. Latin America
10.4.1. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
10.4.2. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts By Service, 2024-2031
10.4.3. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.4.4. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts Organization Size, 2024-2031
10.4.5. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts End-User Industry, 2024-2031
10.4.6. Latin America AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

10.5. Middle East & Africa
10.5.1. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031
10.5.2. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts By Service, 2024-2031
10.5.3. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
10.5.4. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts Organization Size, 2024-2031
10.5.5. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts End-User Industry, 2024-2031
10.5.6. Middle East & Africa AI in Social Media Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles

11.2.1. Google LLC
11.2.2. Microsoft Corporation
11.2.3. Meta
11.2.4. Amazon Web Services, Inc
11.2.5. IBM Corporation
11.2.6. Adobe Systems Incorporated
11.2.7. Salesforce.com Inc.
11.2.8. Baidu Inc.
11.2.9. Snap Inc.
11.2.10. Clarabridge Inc.
11.2.11. HootSuite Media Inc.
11.2.12. Meltwater News US Inc.
11.2.13. Crimson Hexagon Inc.
11.2.14. Sprout Social Inc.
11.2.15. Other Market Players

Segmentation of AI in Social Media Market

AI in Social Media Market- By Technology

  • Machine Learning and Deep Learning
  • Natural Language Processing (NLP)

ai in smart cities

AI in Social Media Market- By Application

  • Customer Experience Management
  • Sales and Marketing
  • Image Recognition
  • Predictive Risk Assessment
  • Other Applications

AI in Social Media Market- By Service

  • Managed Service
  • Professional Service

AI in Social Media Market- By Organization Size

  • Small and Medium Enterprises
  • Large Enterprises

AI in Social Media Market- By End-Use Industry

  • Retail
  • E-commerce
  • Banking, Financial Services and Insurance (BFSI)
  • Media and Advertising
  • Education
  • Other End-user Industries

AI in Social Media Market- By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the AI in Social Media Market Size?

The AI in Social Media Market is expected to grow at a 25.1% CAGR during the forecast period for 2024-2031.

Google LLC, Microsoft Corporation, Meta, Amazon Web Services, Inc., IBM Corporation, Adobe Systems Incorporated, Salesforce.com Inc., Baidu Inc., Snap

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