Artificial Intelligence In Telecommunication Market Size, Share, Growth Analysis, By Application(Network Security, Network Optimization, Customer Analytics, Virtual Assistance), By Region - Industry Forecast 2024-2031

Artificial Intelligence in Telecommunication Market Driver

• Some of the important areas that service providers want to concentrate on while using artificial intelligence and preparing their networks for the move to 5G technology are lowering operating costs and increasing returns on network investments. The growth of artificial intelligence in the telecommunications market will accelerate during the projection period due to its widespread usage for better network performance management.
• The demand for widespread AI adoption is increasing quickly due to the growth of OTT platforms and the changing nature of audio and video content. The need for greater bandwidth increases as more customers switch to OTT platforms, driving up operational expenses for telecommunications firms. By reducing the need for human intervention in network configuration and maintenance, AI can assist in lowering these operational expenses. Automation can also help businesses reach out to more clients more quickly and offer new services more quickly. As a result, during the projection period, there will be an increase in demand for AI in the telecom industry.

Artificial Intelligence in Telecommunication Market Restraint 

• Artificial intelligence can support rapid and effective fraud detection. As a result, AI is increasingly being used for fraud analytics across numerous industries, including telecom. If AI notices any suspicious activity, it has the ability to completely block that person or service, preventing the action from developing into a fraud. During the projected period, increasing cyberattacks on enterprises and the growing demand for self-optimizing networks will further boost the expansion of artificial intelligence in the telecommunications market.