Artificial Intelligence (AI) in Telecommunication Market Size, Share, Growth, trends, Opportunity and Forecast To 2027

February 11 20:03 2021
Artificial Intelligence (AI) in Telecommunication Market Size, Share, Growth, trends, Opportunity and Forecast To 2027
The “Artificial Intelligence (AI) in Telecommunication Market Size, Share, Growth, trends, Opportunity and Forecast To 2027” report has been added to offering.

Robotic process automation (RPA), Virtual Assistants, Preventive maintenance and Network optimization are some of the key areas where communications service providers (CSPs) have focused their AI investments.

With increasing digital connectivity and CSPs are facing rising demand for better customer experience (CX) and higher quality services.  Telecom companies are capitalizing on these lucrative opportunities by leveraging the huge amount of data collected from over the past years. This data is collected through various end sources such as detailed customer profiles, geolocation, service usage, detailed customer profiles, mobile applications, networks, and billing data.

AT&T, Cisco Systems, Google,, IBM, Infosys, Intel, Microsoft, Nuance Communications, Nvidia, Salesforce, Sentient Technologies are some major companies holding strategical position in the global AI in Telecommunication market.

The AI in telecommunication market is anticipated to grow at a substantial growth rate of more than 50% during the forecast period 2020-2025. The market growth is majorly supported by rising utilization of AI-enabled smartphones and increasing adoption of AI for various applications in the telecommunication industry. Whereas the key challenges faced by AI in telecommunication industry are incompatibility concerns between telecommunication systems and AI technology, which can be responsible for generating integration complexities in AI in telecommunication solutions and act as a key restraint for the overall market growth.


Tracking the trend of AI in Telecommunication Market

Artificial intelligence improves the performance of telecommunications network with the help of machine learning and artificial intelligence. The telecommunications network can operate independently and make a decision to minimize the network. In addition, the increasing need to track content on the telecommunications network and to urge the removal of human error from telecommunications networks is the primary factor that is boosting the demand of AI in the telecommunication market.

Increasing demand of over-the-top (OTT) services majorly in the form of video streaming have the changes the consumption and delivery pattern and size audio and video content. As increasing number of customers are turning towards OTT services, the market is witnessing an increased demand for high bandwidth data considerably. To maintain such constantly increasing traffic from OTT services, the telecommunications industry is facing high operating Expenditure (OpEx). With increasing penetration of AI in the telecommunication industry, it helps to minimize the overall operating costs by reducing human interference which is required for network setup and maintenance. Increased automation also helps the telecommunications companies to bring consumers at fast pace while offering novel technologies in the shorter period. Moreover, it also supports network operations to identify and monitor issues such as Service-Level Agreement (SLA) breaches with required solutions. Hence, these traits in turn are expected to boost the growth of telecommunication market size.

Telecommunication is still lagging to leverage benefits of Artificial Intelligence

Telecommunication companies are already using AI majorly for customer service applications in the form of virtual assistants and chatbots to answer customer queries related to technical supports such as troubleshooting support requests, installations, repair and many more. Although, some of crucial areas still require integration of AI such as in reading network content that can help in deciding route traffic.

North America Hold Dominant Position in the Market

Based on regional study, the North America AI in Telecommunication market is anticipated to hold dominant position in the global marketplace with significant shareholding during the forecast period. The dominant position of the NA market is attributed to increased investment in the global market along with presence of major companies in the market.

The Asia Pacific AI in Telecommunication market is anticipated to grow at the highest growth rate in the forecast period, owing to rapid technological developments in emerging economies, like India and China.

Segmentation Overview of the Global AI in Telecommunication Market

By Product Type

  • Machine Learning and Deep Learning
  • Natural Language Processing

By Industry Segmentation

  • Customer Analytics
  • Network Security
  • Network Optimization
  • Self-Diagnostics
  • Virtual Assistance

Based on Region

  • North America
    • The U.S.
    • Canada
    • Mexico
  • Europe
    • The U.K.
    • Germany
    • France
    • Spain
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia & NZ
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • U.A.E.
    • Saudi Arabia
    • South Africa
    • Egypt
    • Rest of Middle East & Africa


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