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ARTIFICIAL INTELLIGENCE IN CHATBOT SECURITY MARKET ANALYSIS

Artificial Intelligence in Chatbot Security Market, By Offering (Hardware, Software, and Services), By Deployment Model (Cloud-based Deployment and On-premises Deployment), By Security Type (Network Security, Endpoint Security, Application Security, and Cloud Security), By Solutions (Identity and Access Management, Risk and Compliance Management, Encryption, Data Loss Prevention, Unified Threat Management, Anti-virus/Anti-malware, Intrusion Detection/Prevention System, and Others), By Technology (Machine Learning, Context Awareness Computing, and Natural Language Processing,), and By Vertical – Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2022-2028

  • To Be Published : Dec 2024
  • Code : CMI1521
  • Formats :
      Excel and PDF
  • Industry : Smart Technologies

Artificial Intelligence In Chatbot Security MarketSize and Trends

Market Trends

Rising adoption of smart devices, including smart phones, is expected to drive growth of the global artificial intelligence market in chatbot security market during the forecast period. Growing adoption of smart phones is increasing the scope for mobile advertising, including SMS & MMS advertising, mobile web, mobile video & television, and several online advertising channels; dependency on social networking sites is increasing; and the requirement for on-demand services such as videos, online messaging applications, video chat, and voice calls, at anytime and anywhere is also rising. These are powerful tools for effective real-time communication. For instance, according to Coherent Market Insights’ analysis, as of 2017, 19% of organizations including retail and financial had deployed AI Chatbot. For instance, NanoRep is an AI based Chabot application that is used for understanding customer issues by monitoring voices of the customer and after applying the analytics it provides valuable solution to the customers.

Increasing utilization and dependency on the internet is expected to increase the risk of cyber-attacks. Artificial intelligence can be used to prevent security issues by providing user authentication in smart phones. Artificial intelligence-based security solutions is a combination of machine learning technology and biometrics, with the capability to identify user behaviour to improve usability and self-service ability. A smart phone integrated with artificial intelligence can capture the pattern of walk, application of pressure to the screen, scroll, and type, without the need for passwords.

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