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Artificial Intelligence (AI) in Social Media Market Revenue Growth, New Launches, Regional Share Analysis & Forecast Till 2027 – The Manomet Current


The Global Artificial intelligence (AI) In Social Media Market size is estimated to reach USD 4.26 Billion from USD 797 Million in 2019, exhibiting a CAGR of 24.7% through 2027.

The rapid evolution of social media platforms with technology such as mobile accounting, cloud computing, OCR technology, and others has immensely changed human communication and interaction. By leveraging Artificial intelligence, vendors are able to find leads through social media. Estimates suggest that fully automated AI systems will soon take over all the areas of marketing. The rise in the number of social media users has grown exponentially over the past few years, and with their active online behavior along with the integration of AI is taking the social media experience to new levels each passing year. AI in social networks is one of the most effective ways to sort through large collections of user’s information. This phenomenon is also known as deep learning, which means a high-level knowledge formed by establishing and analyzing patterns in large data sets.

Increasing investments by major tech companies in tools to integrate AI in marketing strategies due to the high significance of AI-based systems will boost Artificial intelligence (AI) In Social Media Market share. Moreover, the experiments with artificial intelligence by the small & medium scale enterprises and heavy investments by tech giants in AI to enhance their products and services will have a positive impact on market growth through 2027. For instance, In June 2019, Twitter acquired Fabula AI, a London-based start-up, to strengthen its machine learning expertise. Fabula AI boasts of a world-class team of ML researchers who employ graph deep learning to detect network manipulation.

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The global Artificial Intelligence (AI) in Social Media market research report covers study of competitive landscape, product analysis, application analysis, regional analysis, revenue assessment, cost structure analysis, and revenue forecast up to 2028. The report uses advanced analytical tools to research, gather, and analyze data. The in-depth research report has been formulated through extensive primary and secondary research and further corroborated from industry experts, professionals, and research analysts. The report covers a complete analysis of the Artificial Intelligence (AI) in Social Media industry and offers the reader a competitive advantage to stay ahead of the other players.

Key companies operating in the global market and profiled in the report:

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

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The report offers a comprehensive analysis of the key geographical regions to provide insights into key factors influencing market growth in the regions. Production and consumption ratio, import/export analysis, supply and demand, consumer behavior and demands, current and emerging trends, regulatory framework, strategic alliances, technological advancements, economic growth, and robust presence of key players in each region. The report also covers an extensive country-wise analysis to provide better understanding of the market growth in each key region of the world and help investors, stakeholders, and clients to capitalize on lucrative growth opportunities.

Regional analysis covers:

  • North America (U.S., Canada, Mexico)
  • Europe (U.K., Italy, Germany, France, Rest of EU)
  • Asia Pacific(India, Japan, China, South Korea, Australia, Rest of APAC)
  • Latin America(Chile, Brazil, Argentina, Rest of Latin America)
  • Middle East & Africa(Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Artificial Intelligence (AI) in Social Media Market Segmentation:

Technology Outlook (Revenue, USD Million; 2017-2027)

  • Machine Learning and Deep Learning
  • Natural Language Processing

Component Outlook (Revenue, USD Million; 2017-2027)

  • Solutions
  • Services
    • Support and Maintenance
    • System Integration
    • Training

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

  • Small and Medium-Sized Enterprises
  • Large Enterprises

Applications Outlook (Revenue, USD Million; 2017-2027)

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

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

  • Retail and E-Commerce
  • Banking, Financial Services, and Insurance
  • Media and Advertising
  • Education
  • Public Utilities
  • Others

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