The global artificial intelligence (AI) in telecommunication market is anticipated to grow at a CAGR of 40.6% during the forecast period (2023-2030). AI is widely used in customer service and support, predictive maintenance, fraud detection and prevention, quality of service (QoS) management, IoT device management, and data analytics. In customer service and support, AI-driven chatbots and virtual assistants can handle routine customer inquiries, troubleshoot problems, and provide information. Predictive maintenance uses AI algorithms to predict when network equipment might fail or need maintenance. Fraud detection and prevention uses AI to identify fraudulent activities by analyzing call and usage patterns. QoS management uses AI to monitor and maintain QoS levels. IoT device management uses AI to manage and monitor the vast number of connected devices.
Browse the full report description of “Artificial Intelligence (AI) in Telecommunication Market Size, Share & Trends Analysis Report by Component (Solution and Service), by Deployment Model (On-Premise and Cloud), by Technology (Machine Learning (ML), Natural Language Processing (NLP), Data Analytics, and Others), and by Application (Customer Analytics, Network Security, Network Optimization, Self-, Diagnostics, Virtual Assistance, and Others) Forecast Period (2023-2030)” at https://www.omrglobal.com/industry-reports/ai-in-telecommunication-market
Finally, data analytics uses AI to analyze vast amounts of data generated by networks and customers to provide insights for marketing, customer segmentation, and service improvement. Furthermore, the market’s growth is attributed to network optimization across the globe. AI is employed to enhance network efficiency, lower downtime, and ensure higher levels of service quality. In order to provide the optimal user experience, it can dynamically change resources and predict network problems. For instance, in May 2023, Infosys Ltd launched Infosys Topaz an artificial intelligence-first set of services, solutions and platforms using generative AI technologies.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Component
o By Deployment Model
o By Technology
o By Application
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape- includes Google, H2O.ai, Inc., IBM Corp., Infosys Ltd., Intel, and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Artificial Intelligence (AI) in Telecommunication Market Report Segment
By Component
By Deployment Model
By Technology
By Application
Global Artificial Intelligence (AI) in Telecommunication Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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