R&D and Product Advancements and Innovations to Drive AI in the Telecommunication Market

Published: May 2024

Global AI in the telecommunication market is anticipated to grow at a significant CAGR of 41.4% during the forecast period (2024-2031). AI is widely utilized in the telecom industry for various purposes. It helps in detecting and preventing security threats by analyzing network traffic patterns and identifying anomalies. Additionally, AI algorithms optimize network performance by dynamically adjusting parameters, ensuring efficient resource allocation and reduced latency. AI additionally plays an essential role in customer analytics, virtual assistance, self-diagnostics, and the transition to 5G technology. Furthermore, AI reduces operational costs by automating network configuration, maintenance, and customer service, while also managing and optimizing network traffic efficiently to meet the growing demand for bandwidth. Furthermore, the market has seen significant growth primarily owing to increased focus on R&D by both public and private organizations and growing applications. For instance,

Browse the full report description of “AI in Telecommunication Market Size, Share & Trends Analysis Report by Component (Solution, and Service), by Application (Network Security, Network Optimization, Customer Analytics, Virtual Assistance, Self-Diagnostics, and Others)by Vertical (Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Others) Forecast Period (2024-2031)” at https://www.omrglobal.com/industry-reports/ai-in-the-telecommunication-market

In January 2024, Databricks introduced the Data Intelligence Platform for communications, a unified data and AI platform for telcos. The platform provides a comprehensive view of networks, operations, and customer interactions without compromising data privacy or intellectual property. The key features include improved customer experience, unified governance, and open collaboration, leveraging delta sharing.

In January 2024, Transaction Network Services (TNS),  launched  AI Labs, designed to harness the power of AI  for the benefit of carriers and enterprises. The innovative action is to protect customers from the growing threat of AI voice cloning robocalls, improve call traffic monitoring through voice biometrics, and strengthen consumer trust in communications.

In February 2024, Huawei introduced a new version of its AI large language model, Pangu, for commercial use in the telecom sector. The Telecom Foundation Model aims to support service innovation, improve operations efficiency, and revolutionize network productivity.

Market Coverage

The market number available for – 2023-203

Base year- 2023

Forecast period- 2024-2031

Segment Covered- 

o By Component

o By Application

Regions Covered-

o North America

o Europe

o Asia-Pacific

o Rest of the World

Competitive Landscape-  AT&T Inc. Ericsson AB, Huawei Technologies Co. Ltd., IBM Corp.Nokia Corp., among 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 AI in Telecommunication Market Report Segment

By Component

  • Solution
  • Service

By Application

  • Network Security
  • Network Optimization
  • Customer Analytics
  • Virtual Assistance
  • Self-Diagnostics
  • Others(Quality of Service (QoS) Enhancement, and Network Planning and Optimization)

Global 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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