Artificial Intelligence (AI) in Telecommunication Market
The global artificial intelligence (AI) in telecommunication market is anticipated to grow at a CAGR of 40.6% during the forecast period (2024-2031). 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.
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.
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Market Coverage
• The market number available for – 2023-2031
• Base year- 2023
• Forecast period- 2024-2031
Segment Covered-
· By Component
· By Deployment Model
· By Technology
· By Application
Regions Covered-
· North America
· Europe
· Asia-Pacific
· Rest of the World
Competitive Landscape- includes Google, H2O.ai, Inc., IBM Corp., Infosys Ltd., Intel, and others.
Artificial Intelligence (AI) in Telecommunication Market Report Segment
By Component
• Solution
• Service
By Deployment Model
• On-Premise
• Cloud
By Technology
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Data Analytics
• Others (AI-Enhanced Virtual Assistants, Reinforcement Learning, and Network Function Virtualization (NFV))
By Application
• Customer Analytics
• Network Security
• Network Optimization
• Self-Diagnostics
• Virtual Assistance
• Others (Data Traffic Forecasting, and Fraud Detection)
A full Report of Artificial Intelligence (AI) in Telecommunication Market is Available @ https://www.omrglobal.com/industry-reports/ai-in-telecommunication-market
Artificial Intelligence (AI) in Telecommunication Market Report Segment by Region
North America
· United States
· Canada
Europe
· UK
· Germany
· Spain
· France
· Italy
· Rest of Europe
Asia-Pacific
· India
· China
· Japan
· South Korea
· Rest of APAC
Rest of the World
• Latin America
• Middle East and Africa
Company Profiles
• H2O.ai, Inc.
• IBM Corp.
• Infosys Ltd.
• Intel
• Microsoft
• NetCracker Technology Corp.
• Nokia
• Nuance Communications, Inc.,
• NVIDIA Corp.
• Salesforce, Inc.
Reasons to buy from us –
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3. Over 100+ paid data sources mined for investigation.
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