AI in Social Media Market Size, Share & Trends Analysis Report By Technology (Machine Learning and Deep Learning), By Application (Sales & Marketing, Customer Experience Management), By Region, And Segment Forecasts, 2023 To 2030

AI in the social media market analyzes user data and generates personal content recommendations and advertisements. It also means auto-generating social media content across various channels, analyzing posts at scale, and extracting user insights. Artificial Intelligence (AI) plays an important role in different aspects of social media platforms such as content moderation, algorithm recommendation, personalized user experience, and target advertisement to users. Different social media platforms use AI to increase engagement and improve user experience. Integrating AI with social media platforms enables users to discover new content and interact with the platform. AI has enabled businesses to effectively target their advertising and content to specific audiences by analyzing vast data and making predictions. The usage of Chatbots is one of the primary ways AI has helped social media marketing. Customers often communicate with Chatbots, which are computer programs that replicate human communication, on social media platforms.

Machine Learning (ML), a component of AI, is a field of application that allows a system to learn from experience and get better over time without being fully programmed. A computer program that accesses data and uses it to learn from itself is the purpose of machine learning. Though there are many more levels of algorithms, such as Deep Learning, they are created precisely like machine learning. Natural Language Processing (NLP), a component of AI, works to help computers understand spoken and written language such as that of humans.

AI companies get an idea about customer preferences, behaviors, and trends that adapt marketing campaigns and increase sales by thoroughly analyzing data. Customer experience management is a platform of marketing strategies & technologies that focus on customer satisfaction, experience, and engagement. Predictive risk management by AI involves using machine learning algorithms to analyze and predict risks associated with social media activities. For instance, in 2022, Microsoft announced a partnership with Meta to provide consumers with a unique experience for gaming and the future of work.

The spread of the COVID-19 pandemic had a positive impact on AI in the social media market. The use of social media increased due to lockdowns and strict government restrictions. Due to the pandemic, in-person interaction was limited and online engagement through different social media platforms for entertainment, communication, and shopping had increased. According to the article published by Oxford Academics in February 2023, the use of the social media platform Instagram increased by 43% in 2020 as compared to the year before the pandemic. As social media is a popular way of communication and interaction with friends and family, over 65% of Instagram users in the UK reported use of the app more frequently.

AI in Social Media Market Segmentation

• By Technology

  • Machine Learning & Deep Learning

  • NLP

• By Application

  • Sales and Marketing

  • Customer Experience Management

  • Predictive Risk Assessment

• By Region

  • North America

    • U.S.

    • Canada

  • Europe

    • UK

    • Germany

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • Japan

    • China

    • India

    • Australia

    • Thailand

    • South Korea

  • Latin America

    • Brazil

    • Mexico

    • Argentina

  • Middle East & Africa

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait

• Key players

  • Adobe

  • Amazon Web Services

  • Google LLC

  • IBM Corporation

  • Meta

  • Microsoft

  • Salesforce Inc