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The Artificial Intelligence (AI) in the Social Media market is segmented By Technology (Machine Learning and Deep Learning, NLP), Application (Sales and Marketing, Customer Experience Management, Image Recognition, Predictive Risk Assessment), Service (Managed Service, Professional Service), Organization Size (Small and Medium Enterprise, Large Enterprise) End User and Region
2018 - 2026
Fastest Growing Market:
The AI Market in Social Media valued at USD 815.33 million in 2020 and is expected to reach USD 3,714.89 million by 2026, recording a CAGR of 28.77%, during the forecast period of 2021-2026. Social media has become one of the primary sources of customer intelligence data. With the growth in social media users, the demand for AI solutions to understand customer preferences is projected to increase over the forecast period.
The AI in Social Media market is segmented by Technology (Machine Learning and Deep Learning, NLP), Application (Sales and Marketing, Customer Experience Management, Image Recognition, Predictive Risk Assessment), Service (Managed Service, Professional Service).
|Machine Learning and Deep Learning|
|Natural Language Processing (NLP)|
|Customer Experience Management|
|Sales and Marketing|
|Predictive Risk Assessment|
|Small and Medium Enterprises|
|End User Industry|
|Banking, Financial Services and Insurance (BFSI)|
|Media and Advertising|
|Other End-user Industries|
|Middle East and Africa|
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There has been on an upswing in the region, over the past few years, owing to the increased adoption of artificial intelligence, by both public and private sectors.
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The competitive rivalry in the market is high with the dominance of players like Microsoft Corporation, Google LLC and Amazon Web Services among others. The organizations are exploring new areas of AI applications testing the capabilities of machine learning and deep learning.
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Force Analysis
4.2.1 Threat of New Entrants
4.2.2 Bargaining Power of Buyers/Consumers
4.2.3 Bargaining Power of Suppliers
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Technology Roadmap
4.4 Introduction to Market Drivers and Restraints
4.5 Market Drivers
4.5.1 Integration of Artificial Intelligence Technology with Social Media for Effective Advertising
4.5.2 Increase in User Engagement on Social Media by Using Smartphones
4.5.3 Rise in Use of AI in Understanding Market Trends and Gaining Competitive Edge
4.6 Market Restraints
4.6.1 Limited Number of Artificial Intelligence Technology Experts
4.6.2 Low Adoption of AI in Developing Economies
4.7 Market Opportunities
5. MARKET SEGMENTATION
5.1.1 Machine Learning and Deep Learning
5.1.2 Natural Language Processing (NLP)
5.2.1 Customer Experience Management
5.2.2 Sales and Marketing
5.2.3 Image Recognition
5.2.4 Predictive Risk Assessment
5.2.5 Other Applications
5.3.1 Managed Service
5.3.2 Professional Service
5.4 Organization Size
5.4.1 Small and Medium Enterprises
5.4.2 Large Enterprises
5.5 End User Industry
5.5.3 Banking, Financial Services and Insurance (BFSI)
5.5.4 Media and Advertising
5.5.6 Other End-user Industries
5.6.1 North America
188.8.131.52 Rest of Europe
5.6.3 Asia Pacific
184.108.40.206 South Korea
220.127.116.11 Rest of Asia-Pacific
5.6.4 Latin America
5.6.5 Middle East and Africa
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Google LLC
6.1.2 Microsoft Corporation
6.1.3 Facebook, Inc.
6.1.4 Amazon Web Services, Inc
6.1.5 IBM Corporation
6.1.6 Adobe Systems Incorporated
6.1.7 Salesforce.com Inc.
6.1.8 Baidu Inc.
6.1.9 Snap Inc.
6.1.10 Clarabridge Inc.
6.1.11 HootSuite Media Inc.
6.1.12 Meltwater News US Inc.
6.1.13 Crimson Hexagon Inc.
6.1.14 Sprout Social Inc.
7. MARKET OPPORTUNITIES AND FUTURE TRENDS
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