Reports and Data

Artificial Intelligence (AI) in Social Media Market Global Trends, Size, Segments, Emerging Technologies and Industry Growth by Forecast to 2027

The rise in demand for social media marketing and the emergence of big data analytics and other AI technologies bolster market growth.

 

New York, NY -- (SBWIRE) -- 01/15/2021 -- Market Size – USD 797.0 Million in 2019, Market Growth - CAGR of 24.7%, Market Trends – Huge data generation via social media platforms

Today, social media has become significantly important, as people rely on public reviews and peer opinions more than magazine advertisements. Organizations are extensively capitalizing on social media to analyze the dynamic market trends, keep track of competitors' performances, and easily monitor their marketing campaigns. Artificial Intelligence (AI) has left an indelible mark on social media since its incorporation and has entirely transformed how big data works to create social media insights. Social media giants like Facebook and LinkedIn are increasingly leveraging state-of-the-art AI technologies to enhance their product & service portfolios, as well as to reach out to masses. People can now directly interact with brands through social media platforms like Instagram, WhatsApp, and Pinterest that offer them a highly personalized experience. AI automates various labor-intensive tasks on social media and helps improve its efficacy to develop and strategize content. Moreover, it helps determine the target audience and create posts and channels that are most relevant.

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The key industry participants include

Facebook, IBM, Google, Amazon, Adobe Systems, Twitter, Baidu, Salesforce, Clarabridge, Snap, Sprinklr, Hootsuite, Converseon, Unmetric, ISentium, Netbase, Synthesio, Sprout Social, Cluep, Vidora, Spredfast, Crimson Heaxagon, Talkwalker, and Meltwater.

The global artificial intelligence (AI) in social media market, which was valued at USD 797.0 Billion in 2019, is expected to accumulate around USD 4.26 Billion by 2027, growing at a striking 24.7% CAGR. The market is poised to witness considerable growth in the coming years, owing to a slew of growth-inducing parameters. The growing utilization of AI in social media to interpret the latest market trends, increasing demand for personalized customer experience, massive data generation via social media platforms, the emergence of machine learning and data analytics, the surging popularity of e-commerce, rising need for marketing automation, and the intensifying competition among social media players are key factors leading to the growth of this market.

Market growth is further reinforced by the surging penetration of smartphones and tablets, the increasing number of social media users, improved internet access, the introduction of advanced communication technologies like Advanced LTE, AI integration for effective advertising, the growing acceptance of AI-enabled chatbots for client interactions (mainly in the BFSI sector), tech giants' significant investments in AI technology integration, and the burgeoning adoption of AI solutions across the retail, media & advertising, education, healthcare, and government sectors. However, the lack of skilled personnel or AI experts, increasing incidences of data privacy invasions, soaring cases of cyberattacks, and the lack of standards to manage unstructured social media data are some major challenges for market growth in the years to come.

Key Highlights:

As per the technology landscape, the machine learning and deep learning technology sub-segment is leading the market in terms of revenue share. These technologies play a vital role in the social media space as they help ascertain data patterns from unstructured data using AI and big data analytics. Hence, these technologies have helped automate social media applications.

In terms of organization size, the large enterprises sub-segment held the largest market share in 2019, owing to hefty investments in AI integration into social media marketing.

Based on application, the sales & marketing segment dominated the global artificial intelligence (AI) in social media market in 2019. The increasing populace of social media users and the augmented adoption of online retail services have boosted this segment's growth. The predictive risk assessment segment is likely to emerge as the fastest-growing segment over the forecast period. Increasing AI-enabled predictive risk assessment applications, such as fraud detection & prevention, competitive intelligence, and public safety compliance and law enforcement, bolster this segment's growth.

Among the industry verticals, the media & advertising industry accounted for the highest market growth rate in 2019 due to the mounting demand for effective social media marketing in this sector. Furthermore, the retail & e-commerce industry is anticipated to witness fast-paced growth in the upcoming years, owing to the increasing prevalence of online shopping, the growing demand for data-driven in-store experiences, and AI's significance in personalizing product recommendations. Retail giants like Walmart and Target significantly utilize AI technology to ramp up social media presence and boost sales.

North America is the leading regional segment of the global artificial intelligence (AI) in social media market. Augmented investments in marketing automation, surging adoption of AI-based solutions on social media platforms, and high government focus on developing advanced AI technologies have triggered the regional market expansion.

In July 2020, IBM launched its latest solution dubbed 'IBM Watson Advertising Social Targeting with Influential' in collaboration with Influential, a leading social media company. The solution is intended to help renowned brands identify efficient influencers and strengthen their brand values and voice.

In November 2020, Facebook prioritized the reported content using AI. The social media giant's move was an attempt to take stringent action against harmful and offensive content.

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For this report, the global artificial intelligence (AI) in social media market has been segmented based on the technology landscape, component type, organization size, application range, industry vertical, and region:

Technology Landscape Outlook (Revenue, USD Billion; 2017-2027)

Machine Learning and Deep Learning
Natural Language Processing

Component Type Outlook (Revenue, USD Billion; 2017-2027)

Solutions
Hardware
Software
Services
Support & Maintenance
System Integration
Training

Organization Size Outlook (Revenue, USD Billion; 2017-2027)

Large Enterprises
Small and Medium-sized Enterprises

Application Range Outlook (Revenue, USD Billion; 2017-2027)

Sales & Marketing
Customer Experience Management
Predictive Risk Assessment
Competitive Intelligence
Fraud Detection & Prevention
Compliance
Public Safety & Law Enforcement
Image Recognition

Industry Vertical Outlook (Revenue, USD Billion; 2017-2027)

Media & Advertising
Retail & ecommerce
Education
BFSI
Healthcare
Public Utilities
Others

Regional Outlook (Revenue, USD Billion; 2017-2027)

North America
U.S.
Canada
Europe
U.K.
Germany
France
BENELUX
Rest of Europe
Asia Pacific
Japan
China
India
South Korea
Rest of Asia Pacific
Latin America
Brazil
Rest of Latin America
Middle East & Africa
Saudi Arabia
UAE
Rest of Middle East & Africa

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Table of contents

Chapter 1. Market Synopsis

    1.1. Market Definition

    1.2. Research Scope & Premise

    1.3. Methodology

    1.4. Market Estimation Technique

Chapter 2. Executive Summary

    2.1. Summary Snapshot, 2018-2026

Chapter 3. Indicative Metrics

Chapter 4. Artificial Intelligence (AI) in Social Media Market Segmentation & Impact Analysis

     4.1. Artificial Intelligence (AI) in Social Media Market Material Segmentation Analysis

     4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers analysis

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