The Global Artificial Intelligence in Social Media Market to grow from USD 4.47 billion in 2022 to USD 20.15 billion by 2030, at a CAGR of 20.71%.

PUNE, MAHARASHTRA, INDIA , November 14, 2023 /EINPresswire.com/ — The “Artificial Intelligence in Social Media Market by Technology (Machine Learning & Deep Learning, Natural Language Processing), Service (Managed Service, Professional Service), Organization Size, Application, End-User Industry – Global Forecast 2023-2030” report has been added to 360iResearch.com’s offering.

The Global Artificial Intelligence in Social Media Market to grow from USD 4.47 billion in 2022 to USD 20.15 billion by 2030, at a CAGR of 20.71%.

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Artificial Intelligence (AI) in social media involves the integration and application of machine learning algorithms and sophisticated systems designed to simulate human intelligence processes. These include learning and understanding user preferences, problem-solving, and decision-making. These AI technologies can efficiently analyze enormous amounts of data that can be easily understood and leveraged by marketers, advertisers, and organizations. The growing need to monitor consumer behavior and reaction to products, trends, and brand campaigns is accelerating the use of artificial intelligence in social media by businesses globally. The growth of social media influencers, rising social media usage, and the rapid technological advancements in AI and machine learning algorithms are expanding the use of artificial Intelligence (AI) in social media. However, concerns over data privacy and the ethical implications of AI usage can generate mistrust among users and impede their adoption by end-users. Nonetheless, the application of AI in content automation, where AI tools generate text, speech, images, or videos without human involvement, can potentially revolutionize social media marketing strategies.

End-User Industry: Expanding applications of AI in social media in the eCommerce sector
In the Banking, Financial Services, & Insurance industry, AI integration in social media has improved risk assessment, fraud detection, and customer service. The BFSI sector leverages AI-based sentiment analysis tools to gauge customer satisfaction and market trends. The E-Commerce segment has also been transformed by AI-powered recommendation engines on social media platforms to drive customer purchases. In Media & Advertising, AI analysis of user behavior and preferences on social media has facilitated targeted ads and content personalization. The Retail industry employs AI to drive customer engagement and generate sales on social media. AI in social media has revolutionized various industry sectors through customized experiences, targeted marketing, and improved operational efficiency.

Application: Proliferating use for predictive risk assessment
AI plays a vital role in improving customer experience on social media and aids in gathering valuable customer insights, driving personalized marketing strategies, and providing real-time customer support with chatbots. Implementing AI should be need-based, considering individual consumer behavior, prevailing trends, and business needs. Image recognition powered by AI in social media offers capabilities such as automatic face recognition and object identification. Personal privacy and data security considerations are required to implement image recognition. AI’s predictive risk assessment capabilities can foresee potential risks or threats, a critical application in moderating content on social media platforms. A need-based application would require careful assessment of content processes, security needs, and reputational risks. AI-powered sales and marketing applications help businesses better understand their audience, predict trends, and drive personalized campaigns. Companies should adopt AI-based sales and marketing tools based on their need for audience targeting, customer engagement, and conversion ratio optimization.

Service: Rising demand for personalized services to cater to specific business needs
Managed services in AI in social media refer to the management of AI systems and infrastructure by a third-party provider. This service offers businesses the advantage of reducing operational costs and improving organizational efficiency. Professional services encapsulate service offerings such as system integration, consulting, and support related to AI. These are custom services essential for businesses that require unique, tailored AI solutions for data management and decision-making processes on social media platforms. Managed Service offers cost-effectiveness and hassle-free AI management. Professional service provides highly custom AI solutions based on specific business needs. Businesses prefer these services based on their specific needs, investment capabilities, and business objectives.

Technology: Significant penetration of machine learning & deep learning
Machine Learning and Deep Learning, artificially intelligent models designed to mimic human intelligence, play a primary role in molding the user experience on social platforms. They aid in personalizing content, predicting trends, and designing recommendation systems. Deep learning algorithms have structures designed to extract high-level abstractions from data, which is essential for social platforms. Natural Language Processing (NLP) offers an equally compelling advantage. NLP allows machines to understand, interpret, and generate human language, thus giving rise to tools such as chatbots and sentiment analyzers on social media platforms. NLP ensures a better understanding of colloquial and informal language, leading to less misinterpretation and miscommunication. These technologies continue revolutionizing digital experiences By allowing more personalized, contextual, and intuitive interactions.

Regional Insights:
Artificial Intelligence (AI) in social media is evolving in the Americas owing to well-established companies leveraging AI to curate user feeds and target adverts. Europe’s General Data Protection Regulation has encouraged social media platforms to use AI to serve and protect users, accelerating the use of AI in social media by businesses across Europe. Rising emphasis on digitalization, well-regulated standards on AI and privacy, increasing adoption of innovative technologies, and heightened interest and investment in AI present significant growth opportunities in the EMEA region. Similarly, the Asia-Pacific region is experiencing a revolution in AI-driven social media interactions and business models and an upsurging trend of content creation on social media platforms, raising demand for AI-based social media solutions. Besides, the development of new AI applications for social media platforms to provide users with better experiences is anticipated to propel their use by end-users across the globe.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Artificial Intelligence in Social Media Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in the Artificial Intelligence in Social Media Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

Key Company Profiles:

The report delves into recent significant developments in the Artificial Intelligence in Social Media Market, highlighting leading vendors and their innovative profiles. These include Aarzoo, Inc., Acrolinx GmbH, AI21 Labs, Amazon Web Services, Inc., Baidu, Inc., Buffer, Inc, Cisco Systems, Inc., Cision Ltd., ContentStudio Inc., Flick.Tech Ltd., Google LLC by Alphabet Inc., Hootsuite Inc., International Business Machines Corporation, Lately, Inc., Meta Platforms, Inc., Microsoft Corporation, MURF.AI, Oracle Corporation, Salesforce, Inc., SAP SE, SC SocialBee Labs SRL, Socinator, Stockimg.ai, STORYLAB.AI, and Zapier Inc..

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Market Segmentation & Coverage:

This research report categorizes the Artificial Intelligence in Social Media Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Technology, market is studied across Machine Learning & Deep Learning and Natural Language Processing. The Machine Learning & Deep Learning is projected to witness significant market share during forecast period.

Based on Service, market is studied across Managed Service and Professional Service. The Managed Service is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprise and Small & Medium Enterprise. The Large Enterprise is projected to witness significant market share during forecast period.

Based on Application, market is studied across Customer Experience Management, Image Recognition, Predictive Risk Assessment, and Sales & Marketing. The Customer Experience Management is projected to witness significant market share during forecast period.

Based on End-User Industry, market is studied across Banking, Financial Services & Insurance, E-Commerce, Education, Media & Advertising, and Retail. The Media & Advertising is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 39.86% in 2022, followed by Europe, Middle East & Africa.

Key Topics Covered:

1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Artificial Intelligence in Social Media Market, by Technology
7. Artificial Intelligence in Social Media Market, by Service
8. Artificial Intelligence in Social Media Market, by Organization Size
9. Artificial Intelligence in Social Media Market, by Application
10. Artificial Intelligence in Social Media Market, by End-User Industry
11. Americas Artificial Intelligence in Social Media Market
12. Asia-Pacific Artificial Intelligence in Social Media Market
13. Europe, Middle East & Africa Artificial Intelligence in Social Media Market
14. Competitive Landscape
15. Competitive Portfolio
16. Appendix

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Artificial Intelligence in Social Media Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Artificial Intelligence in Social Media Market?
3. What is the competitive strategic window for opportunities in the Artificial Intelligence in Social Media Market?
4. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Social Media Market?
5. What is the market share of the leading vendors in the Artificial Intelligence in Social Media Market?
6. What modes and strategic moves are considered suitable for entering the Artificial Intelligence in Social Media Market?

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Mr. Ketan Rohom
360iResearch
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