AI in Social Media Market Research Report – Forecast to 2027

AI in Social Media Market Research Report, by Technology (Deep Learning, NLP), Application (Sales & Marketing, Customer Experience Management), Component (Solution, Service), Enterprise Size (Large Enterprise, SME), End-User— Global Forecast till 2027

ID: MRFR/ICT/4631-HCR | February 2021 | Region: Global | 100 Pages         

TABLE OF CONTENTS

1 Executive Summary

2 Scope of the Report

2.1 Market Definition

2.2 Scope of the Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

4.1 Porter’s Five Forces Analysis

4.1.1 Threat of New Entrants

4.1.2 Bargaining power of buyers

4.1.3 Threat of substitutes

4.1.4 Segment rivalry

4.2 Value Chain/Supply Chain of Global AI in Social Media Market

5 Industry Overview of Global AI in Social Media Market

5.1 Introduction

5.2 Growth Drivers

5.3 Impact analysis

5.4 Market Challenges

6 Market Trends

6.1 Introduction

6.2 Growth Trends

6.3 Impact analysis

7 Global AI in Social Media Market by Technology

7.1 Introduction

7.2 Machine Learning

7.2.1 Market Estimates & Forecast, 2020–2027

7.2.2 Market Estimates & Forecast by Region, 2020–2027

7.3 Deep Learning

7.3.1 Market Estimates & Forecast, 2020–2027

7.3.2 Market Estimates & Forecast by Region, 2020–2027

7.4 Natural Learning Process (NLP)

7.4.1 Market Estimates & Forecast, 2020–2027

7.4.2 Market Estimates & Forecast by Region, 2020–2027

8 Global AI in Social Media Market by Application

8.1 Introduction

8.2 Sales & Marketing

8.2.1 Market Estimates & Forecast, 2020–2027

8.2.2 Market Estimates & Forecast, by Region, 2020–2027

8.3 Customer Experience Management

8.3.1 Market Estimates & Forecast, 2020–2027

8.3.2 Market Estimates & Forecast, by Region, 2020–2027

8.4 Predictive Risk Assessment

8.4.1 Market Estimates & Forecast, 2020–2027

8.4.2 Market Estimates & Forecast, by Region, 2020–2027

8.5 Others

8.5.1 Market Estimates & Forecast, 2020–2027

8.5.2 Market Estimates & Forecast, by Region, 2020–2027

9 Global AI in Social Media Market by Component

9.1 Introduction

9.2 Solutions

9.2.1 Market Estimates & Forecast, 2020–2027

9.2.2 Market Estimates & Forecast, by Region, 2020–2027

9.3 Services

9.3.1 Market Estimates & Forecast, 2020–2027

9.3.2 Market Estimates & Forecast, by Region, 2020–2027

10 Global AI in Social Media Market by Enterprise Size

10.1 Introduction

10.2 SME’s

10.2.1 Market Estimates & Forecast, 2020–2027

10.2.2 Market Estimates & Forecast, by Region, 2020–2027

10.3 Large Enterprises

10.3.1 Market Estimates & Forecast, 2020–2027

10.3.2 Market Estimates & Forecast, by Region, 2020–2027

11 Global AI in Social Media Market by End-User

11.1 Introduction

11.2 Retail and eCommerce

11.2.1 Market Estimates & Forecast, 2020–2027

11.2.2 Market Estimates & Forecast, by Region, 2020–2027

11.3 BFSI

11.3.1 Market Estimates & Forecast, 2020–2027

11.3.2 Market Estimates & Forecast, by Region, 2020–2027

11.4 Media & Advertising

11.4.1 Market Estimates & Forecast, 2020–2027

11.4.2 Market Estimates & Forecast, by Region, 2020–2027

11.5 Education

11.5.1 Market Estimates & Forecast, 2020–2027

11.5.2 Market Estimates & Forecast, by Region, 2020–2027

11.6 Public Utilities

11.6.1 Market Estimates & Forecast, 2020–2027

11.6.2 Market Estimates & Forecast, by Region, 2020–2027

11.7 Others

11.7.1 Market Estimates & Forecast, 2020–2027

11.7.2 Market Estimates & Forecast, by Region, 2020–2027

12. Global AI in Social Media Market by Region

12.1 Introduction

12.2 North America

12.2.1 Market Estimates & Forecast, by Country, 2020–2027

12.2.2 Market Estimates & Forecast, by Technology, 2020–2027

12.2.3 Market Estimates & Forecast, by Application, 2020–2027

12.2.4 Market Estimates & Forecast, by Application, 2020–2027

12.2.5 Market Estimates & Forecast, by Application, 2020–2027

12.2.6 US

12.2.6.1 Market Estimates & Forecast, by Technology, 2020–2027

12.2.6.2 Market Estimates & Forecast, by Application, 2020–2027

12.2.6.3 Market Estimates & Forecast, by Application, 2020–2027

12.2.6.4 Market Estimates & Forecast, by Application, 2020–2027

12.2.7 Canada

12.2.7.1 Market Estimates & Forecast, by Technology, 2020–2027

12.2.7.2 Market Estimates & Forecast, by Application, 2020–2027

12.2.7.3 Market Estimates & Forecast, by Application, 2020–2027

12.2.7.4 Market Estimates & Forecast, by Application, 2020–2027

12.2.8 Mexico

12.2.8.1 Market Estimates & Forecast, by Technology, 2020–2027

12.2.8.2 Market Estimates & Forecast, by Application, 2020–2027

12.2.8.3 Market Estimates & Forecast, by Application, 2020–2027

12.2.8.4 Market Estimates & Forecast, by Application, 2020–2027

12.3 Europe

12.3.1 Market Estimates & Forecast, Country, 2020–2027

12.3.2 Market Estimates & Forecast, by Technology, 2020–2027

12.3.3 Market Estimates & Forecast, by Application, 2020–2027

12.3.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.5 Market Estimates & Forecast, by Application, 2020–2027

12.3.6 Germany

12.3.6.1 Market Estimates & Forecast, by Technology, 2020–2027

12.3.6.2 Market Estimates & Forecast, by Application, 2020–2027

12.3.6.3 Market Estimates & Forecast, by Application, 2020–2027

12.3.6.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.7 France

12.3.7.1 Market Estimates & Forecast, 2020–2027

12.3.7.2 Market Estimates & Forecast, by Technology, 2020–2027

12.3.7.3 Market Estimates & Forecast, by Application, 2020–2027

12.3.7.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.7.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.8 Italy

12.3.8.1 Market Estimates & Forecast, by Technology, 2020–2027

12.3.8.2 Market Estimates & Forecast, by Application, 2020–2027

12.3.8.3 Market Estimates & Forecast, by Application, 2020–2027

12.3.8.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.9 Spain

12.3.9.1 Market Estimates & Forecast, by Technology, 2020–2027

12.3.9.2 Market Estimates & Forecast, by Application 2020–2027

12.3.9.3 Market Estimates & Forecast, by Application, 2020–2027

12.3.9.4 Market Estimates & Forecast, by Application, 2020–2027

12.3.10 UK

12.3.10.1 Market Estimates & Forecast, by Technology, 2020–2027

12.3.10.2 Market Estimates & Forecast, by Application, 2020–2027

12.3.10.3 Market Estimates & Forecast by Application, 2020–2027

12.3.10.4 Market Estimates & Forecast, by Application, 2020–2027

12.4 Asia-Pacific

12.4.1 Market Estimates & Forecast, Country, 2020–2027

12.4.2 Market Estimates & Forecast, by Technology, 2020–2027

12.4.3 Market Estimates & Forecast, by Application, 2020–2027

12.4.4 Market Estimates & Forecast, by Application, 2020–2027

12.4.5 Market Estimates & Forecast, by Application, 2020–2027

12.4.6 China

12.4.6.1 Market Estimates & Forecast, by Technology, 2020–2027

12.4.6.2 Market Estimates & Forecast, by Application, 2020–2027

12.4.6.3 Market Estimates & Forecast, by Application, 2020–2027

12.4.6.4 Market Estimates & Forecast, by Application, 2020–2027

12.4.7 India

12.4.7.1 Market Estimates & Forecast, by Technology, 2020–2027

12.4.7.2 Market Estimates & Forecast, by Application, 2020–2027

12.4.7.3 Market Estimates & Forecast, by Application, 2020–2027

12.4.7.4 Market Estimates & Forecast, by Application, 2020–2027

12.4.8 Japan

12.4.8.1 Market Estimates & Forecast, by Technology, 2020–2027

12.4.8.2 Market Estimates & Forecast, by Application, 2020–2027

12.4.8.3 Market Estimates & Forecast, by Application, 2020–2027

12.4.8.4 Market Estimates & Forecast, by Application, 2020–2027

12.4.9 Rest of Asia-Pacific

12.4.9.1 Market Estimates & Forecast, by Technology, 2020–2027

12.4.9.2 Market Estimates & Forecast, by Application, 2020–2027

12.4.9.3 Market Estimates & Forecast, by Application, 2020–2027

12.4.9.4 Market Estimates & Forecast, by Application, 2020–2027

12.5 The Rest of the World

12.5.1 Market Estimates & Forecast, Country, 2020–2027

12.5.2 Market Estimates & Forecast, by Technology, 2020–2027

12.5.3 Market Estimates & Forecast, by Application, 2020–2027

12.5.4 Market Estimates & Forecast, by Application, 2020–2027

12.5.5 Market Estimates & Forecast, by Application, 2020–2027

12.5.6 Middle East & Africa

12.5.6.1 Market Estimates & Forecast, by Technology, 2020–2027

12.5.6.2 Market Estimates & Forecast, by Application, 2020–2027

12.5.6.3 Market Estimates & Forecast, by Application, 2020–2027

12.5.6.4 Market Estimates & Forecast, by Application, 2020–2027

12.5.7 Latin America

12.5.7.1 Market Estimates & Forecast, by Technology, 2020–2027

12.5.7.2 Market Estimates & Forecast, by Application, 2020–2027

12.5.7.3 Market Estimates & Forecast, by Application, 2020–2027

12.5.7.4 Market Estimates & Forecast, by Application, 2020–2027

13 Company Landscape

14 Company Profiles

14.1 Google

14.1.1 Company Overview

14.1.2 Product/Business Segment Overview

14.1.3 Financial Updates

14.1.4 Key Developments

14.2 Facebook

14.2.1 Company Overview

14.2.2 Product/Business Segment Overview

14.2.3 Financial Updates

14.2.4 Key Developments

14.3 AWS

14.3.1 Company Overview

14.3.2 Product/Business Segment Overview

14.3.3 Financial Updates

14.3.4 Key Developments

14.4 IBM

14.4.1 Company Overview

14.4.2 Product/Business Segment Overview

14.4.3 Financial Updates

14.4.4 Key Developments

14.5 Adobe Systems

14.5.1 Company Overview

14.5.2 Product/Business Segment Overview

14.5.3 Financial Updates

14.5.4 Key Developments

14.6 Baidu

14.6.1 Company Overview

14.6.2 Product/Business Segment Overview

14.6.3 Financial Updates

14.6.4 Key Developments

14.7 Salesforce

14.7.1 Company Overview

14.7.2 Product/Business Segment Overview

14.7.3 Financial Updates

14.7.4 Key Developments

14.8 Twitter

14.8.1 Company Overview

14.8.2 Product/Business Segment Overview

14.8.3 Financial Updates

14.8.4 Key Developments

14.9 Snap

14.9.1 Company Overview

14.9.2 Product/Business Segment Overview

14.9.3 Financial Updates

14.9.4 Key Developments

14.10 Clarabridge

14.10.1 Company Overview

14.10.2 Product/Business Segment Overview

14.10.3 Financial Updates

14.10.4 Key Developments

15 Conclusion

LIST OF TABLES

Table 1 Global AI in Social Media Market, by Region, 2020–2027

Table 2 North America: AI in Social Media Market, by Country, 2020–2027

Table 3 Europe: AI in Social Media Market, by Country, 2020–2027

Table 4 Asia-Pacific: AI in Social Media Market, by Country, 2020–2027

Table 5 Middle East & Africa: AI in Social Media Market, by Country, 2020–2027

Table 6 Latin America: AI in Social Media Market, by Country, 2020–2027

Table 7 Global AI in Social Media Technology Market, by Region, 2020–2027

Table 8 North America: AI in Social Media Technology Market, by Country, 2020–2027

Table 9 Europe: AI in Social Media Technology Market, by Country, 2020–2027

Table10 Asia-Pacific: AI in Social Media Technology Market, by Country, 2020–2027

Table11 Middle East & Africa: AI in Social Media Technology Market, by Country, 2020–2027

Table12 Latin America: AI in Social Media Technology Market, by Country, 2020–2027

Table13 Global AI in Social Media Application Market, by Region, 2020–2027

Table14 North America: AI in Social Media Application Market, by Country, 2020–2027

Table15 Europe: AI in Social Media Application Market, by Country, 2020–2027

Table16 Asia-Pacific: AI in Social Media Application Market, by Country, 2020–2027

Table17 Middle East & Africa: AI in Social Media Application Market, by Country, 2020–2027

Table18 Latin America: AI in Social Media Application Market, by Country, 2020–2027

Table19 Global AI in Social Media Component Market, by Region, 2020–2027

Table20 North America: AI in Social Media Component Market, by Country, 2020–2027

Table21 Europe: AI in Social Media Component Market, by Country, 2020–2027

Table22 Asia-Pacific: AI in Social Media Component Market, by Country, 2020–2027

Table23 Middle East & Africa: AI in Social Media Component Market, by Country, 2020–2027

Table24 Latin America: AI in Social Media Component Market, by Country, 2020–2027

Table25 Global AI in Social Media Enterprise Market, by Region, 2020–2027

Table26 North America: AI in Social Media Enterprise Market, by Country, 2020–2027

Table27 Europe: AI in Social Media Enterprise Market, by Country, 2020–2027

Table28 Asia-Pacific: AI in Social Media Enterprise Market, by Country, 2020–2027

Table29 Middle East & Africa: AI in Social Media Enterprise Market, by Country, 2020–2027

Table30 Latin America: AI in Social Media Enterprise Market, by Country, 2020–2027

Table31 Global AI in Social Media End-User Market, by Region, 2020–2027

Table32 North America: AI in Social Media End-User Market, by Country, 2020–2027

Table33 Europe: AI in Social Media End-User Market, by Country, 2020–2027

Table34 Asia-Pacific: AI in Social Media End-User Market, by Country, 2020–2027

Table35 Middle East & Africa: AI in Social Media End-User Market, by Country, 2020–2027

Table36 Latin America: AI in Social Media End-User Market, by Country, 2020–2027

Table37 Asia-Pacific: AI in Social Media Market, by Country

Table38 Asia-Pacific: AI in Social Media Market, by Technology

Table39 Asia-Pacific: AI in Social Media Market, by Application

Table40 Asia-Pacific: AI in Social Media Market, by Component

Table41 Asia-Pacific: AI in Social Media Market, by Enterprise-size

Table42 Asia-Pacific: AI in Social Media Market, by End-User

Table43 Middle East & Africa: AI in Social Media Market, by Country

Table44 Middle East & Africa: AI in Social Media Market, by Technology

Table45 Middle East & Africa: AI in Social Media Market, by Application

Table46 Middle East & Africa: AI in Social Media Market, by Component

Table47 Middle East & Africa: AI in Social Media Market, by Enterprise-size

Table48 Middle East & Africa: AI in Social Media Market, by End-User

Table49 Latin America: AI in Social Media Market, by Country

Table50 Latin America: AI in Social Media Market, by Technology

Table51 Latin America: AI in Social Media Market, by Application

Table52 Latin America: AI in Social Media Market, by Component

Table53 Latin America: AI in Social Media Market, by Enterprise-size

Table54 Latin America: AI in Social Media Market, End-User

LIST OF FIGURES

FIGURE 1 Global AI in Social Media Market Segmentation

FIGURE 2 Forecast Methodology

FIGURE 3 Porter’s Five Forces Analysis of Global AI in Social Media Market

FIGURE 4 Value Chain of Global AI in Social Media Market

FIGURE 5 Share of Global AI in Social Media Market in 2020, by Country (in %)

FIGURE 6 Global AI in Social Media Market, 2020–2027

FIGURE 7 Global AI in Social Media Market Size, by Technology, 2020

FIGURE 8 Share of Global AI in Social Media Market, by Technology, 2020 to 2027

FIGURE 9 Global AI in Social Media Market Size, by Application, 2020

FIGURE 10 Share of Global AI in Social Media Market, by Application, 2020 to 2027

FIGURE 11Global AI in Social Media Market Size, by Component, 2020

FIGURE 12 Share of Global AI in Social Media Market, by Component, 2020 to 2027

FIGURE 13Global AI in Social Media Market Size, by Enterprise-Size, 2020

FIGURE 14 Share of Global AI in Social Media Market, by Enterprise-Size, 2020 to 2027

FIGURE 15Global AI in Social Media Market Size, by End-User, 2020

FIGURE 16 Share of Global AI in Social Media Market, by End-User, 2020 to 2027

AI in Social Media Market

AI in Social Media Market size exceeded USD 2.6 Billion in 2027 and is projected to expand at over 26.80% CAGR from 2020 to 2027.

Segmentation

By Technology Deep Learning Nlp
By Application Sales & Marketing Customer Experience Management
By Component Solution Service

Key Players

  • Google (US)
  • Facebook (US)
  • AWS (US)
  • IBM (US)
  • Adobe Systems (US)
  • Baidu (China)
  • Salesforce (US)
  • Twitter (US)
  • Snap (US)
  • Clarabridge (US)
  • Conversion (US)
  • Sprinklr (US)
  • Unmetric (US)
  • Pentium (US)

Drivers

  • A potential platform for advertising
  • To engage the customers and provide the best user experience
  • AI-based technologies like virtual assistants are utilized
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AI in Social Media Market overview:


 


The AI in Social media market is expected to witness a growth of over USD 2.6 billion by the year 2023 with a CAGR of 26.80% during the forecast period. Social media platforms are growing tremendously in recent times and gathering an unlimited amount of data every day. To properly align and manage the data piles, artificial intelligence is utilized in such frameworks. Chatbots which are the most prominently utilized artificial intelligence software has resolved over 65% of the customer’s queries and over 1.4 billion people are utilizing them daily. The advent of such software has enabled the assuring interaction with the customers and computer systems. Several other application of AI which includes predictive analysis has aided the growth of the social selling and other businesses based on social media.


 


The increased adaptation of AI technologies in the social media sector and AI-based smartphones has increased the overall growth of AI in the social media industry. The unstructured data that is generated from social media utilizes machine learning and AI technology to derive the data patterns and thereby augmenting the business growth. Self-learning applications and automated social media applications have impacted the growth of the AI in Social media industry in recent years.


 


COVID 19 Analysis:


 


The COVID 19 pandemic has forced the governments to impose stringent laws on movement in several countries. Hence the residents of several countries are increasingly utilizing e-commerce to stock up their utilities. The advent of mobile wallets has replaced email notifications in the e-commerce industry. Such changing trends in e-commerce have hugely impacted the growth of AI in the social media industry in recent times. Additionally, the social media news reporting regarding the coronavirus has been providing deeper insights on the situation in several countries. The delay in the traditional way of passing the news has been replaced by the social media platforms like Twitter. The public health care information and tracking down the outbreaks have helped people utilizing social media platforms.


 


Market dynamics:


 


Market drivers:


 


The growing usage of social media users across the world has been projected as a potential platform for advertising. To engage the customers and provide the best user experience, AI-based technologies like virtual assistants are utilized. Additionally, the customer-centric marketing strategies, security and privacy measures combined with good appeal and increased functionality have augmented the number of social media users and improve the quality of the content. Such factors have augmented the growth of the AI in Social media industry.


 


The main focus of AI is to provide a solution to complex problems similar to the handling of humans with enhanced reasoning and logic. Experts claim that fully automated AI is much likely to take over the various areas of marketing in the coming few years. The increasing applications of AI-based technologies like auto-traffic analysis, virtual assistant, image recognition, intelligent search, and automated writing bots are immensely utilized by social media marketers. 


 


Market opportunities:


 


A recent study by the leading market player, IBM states that over 91% of the retailers are familiar with the usage of AI-based technologies and their applications. Especially, the technologies like image recognition and intelligence search enable the organizations to analyze the preferences of customers and also uncovers the hidden patterns of the datasets. Such reports have propelled organizations to implement AI-based solutions.


 


The increasing investments in the e-commerce industry in recent years have presented favorable conditions that would increase the utilization of AI-based technologies in social media. The deep learning, deep text, and face recognition features of Facebook have enhanced the user experience; the face recognition features suggest the users tag people while sharing pictures. The advent of the Deep Face AI system has acquired an accuracy of over 97% in recognizing people in pictures. The other AI-based technologies utilized in Facebook have provided the power of eliminating unwanted messages on Facebook. Such factors have increased the revenue generation from Facebook.


 


Market restraints:


 


The lack of AI experts in the field and slow digitization rate across the globe are impacting the AI in social media market value. Additionally, with the increasing data generation in social media, the unstructured data formats are burdening the platforms. Such factors are hindering the overall growth of AI in the social media industry. Since ingesting, sorting, linking the data sets have become difficult, the inadvertent usage of data, exposing sensitive information are the major concerns of utilizing the AI systems.


 


Lack of expertise in AI in social media platforms is also imposing higher challenges on the growth of AI in social media market.


 


Market challenges:


 


The Technology issues and the process issues across the operating landscape are also considered as the major challenges for AI in social media market growth. Additionally, the financial burden after the failure of the software and other trading issues are the key market challenges of AI in social media market.


 


The advent of new AI models to social media platforms might present security breaches to the system. Currently, the Social media platforms are working in Software-as-a-system, whenever any new intelligent features are added to the system, the new model is being introduced which impacts the system adversely.


 


Cumulative growth analysis:


 


Over 75% of the customer expects consistency in interactions during their presence on e-commerce websites. And over 58% of the customers claim that they are conversing with various departments and not a single source. Such factors have affected the overall growth of AI systems in several other sectors. Over 166 million users of twitters have utilized the Delphi methodology for identifying the potential keyword. Such strategies and AI-based solutions have augmented the growth of social media platforms in recent years.


 


The AI in Social media market is expected to witness a growth of over USD 2.6 billion by the year 2023 with a CAGR of 28.6% during the forecast period. The advent of AI-based solutions has helped several social media companies to analyze the data generated from the social media platforms and convert them to structured and tangible data.


 


Value chain analysis:


 


The Sole purpose of AI is to provide solutions that are logical enough to solve the problems of the customers just like a human. However, primarily, AI-based solutions are deployed to increase the sales of the industry. Since the number of social media users has increased in recent years, AI-based solutions have propelled sales and generated revenue from social media platforms. The major restraining factor of social media is the changing trends and customers’ preferences, AI-based solutions have aided the retailers and digital marketers to gather information about the customers and their preferences which have helped them to develop their businesses.


 


The marketing campaigns, broader audience, easy access to the target audience are some of the key benefits that social media offers to digital marketers. The targeting filters that are based on age, gender, demographics have projected relevant ads and products to the social media user. The AI system analyses the ads and gets them to the right set of audiences, then propel them to click on them. Additionally, the advanced features of the chatbots that are capable of conversing with the customers based on recent purchases are the major factors of the AI in Social media market.


 


Segment overview:


 


Based on Technology:



  • Machine Learning and Deep Learning

  • Natural Language Processing (NLP) 


Based on Application:



  • Sales and Marketing

  • Customer Experience Management

  • Predictive Risk Assessment


Based on Component:



  • Solutions




    • Software tools

    • Platforms


  • Services


    • Support and maintenance

    • System Integration

    • Training 



Based on Enterprise Size:



  • Small and Medium-sized Enterprises (SMEs)

  • Large Enterprises 


Based on End-user:



  • Retail and eCommerce

  • Banking, Financial Services, and Insurance (BFSI)

  • Media and Advertising

  • Education

  • Public Utilities

  • Others 


Regional analysis:


 


The proliferation of the internet and smartphones to a wider range of people has increased the number of social media users in several countries. Especially, North America is witnessing a huge growth in Artificial Intelligence (AI) in Social Media Market. Moreover, Asia-pacific is also considered the fastest-growing region in the AI in the Social media industry. The region is currently witnessing huge growth owing to the changing trends and higher disposable income in the region.


 


However, the dominant market player, North America holds its leading position because of the factors including, effective usage of technology, increasing investments in the market, and proper risk management systems.


 


Competitive landscape:


 



  • Google (US)

  • Facebook (US)

  • AWS (US)

  • IBM (US)

  • Adobe Systems (US)

  • Baidu (China)

  • Salesforce (US)

  • Twitter (US)

  • Snap (US)

  • Clarabridge (US)

  • Conversion (US)

  • Sprinklr (US)

  • Unmetric (US)

  • Pentium (US)


 


Recent developments:



  • In January 2020, the leading market player IBM has announced its new launch of Advertising Accelerator which enables the organization to predict the optimal combination of the elements that drive the customers towards the organization and retain the customers.

  • In the year 2018, a leading company has introduced the codeless platform that is capable of building custom machine learning models.


 


Report overview:


This report has covered:



  • Market overview

  • COVID 19 Analysis

  • Market dynamics

  • Cumulative growth analysis

  • Value chain analysis

  • Segment overview

  • Regional analysis

  • Competitive landscape

  • Recent developments



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Frequently Asked Questions (FAQ) :

Social media platforms are being widely used for advertising campaigns which have been projected to boost the use of AI in the industry in the near future.

The AI in social media market is poised to register 26.80% CAGR.

The AI in social media market is poised to earn revenue worth USD 2.6 Bn by 2023.

By technology, the segments of the AI in social media market are deep learning, machine learning, and natural learning process (NLP).

Google (US), Twitter (US), AWS (US), Facebook (US), IBM (US), Baidu (China), Adobe Systems (US), Salesforce (US), and Snap (US) are the leading players of the AI in social media market.