Artificial Intelligence In Telecommunication Market Size, Share, Growth Report 2030

Market Overview

The global Artificial Intelligence In Telecommunication market, which was estimated at about 660 (USD Million) in 2019 and is predicted to accrue earnings worth 1,516(USD Million) by 2026, is set to record a CAGR of nearly over 39% during 2020-2026. The report offers a valuation and analysis of the Artificial Intelligence In the Telecommunication market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Million).

Report Scope:

Artificial Intelligence in Telecommunication Market: Overview

AI in telecom business makes use of new algorithms for searching patterns in data, helping telecommunication services in detecting & predicting anomalies in network along with providing the network system with the facility of fixing the end-user network issues. Moreover, telecom firms make use of AI for enhancing customer services through use of Chatbots or virtual assistants. Citing an instance, firms such as Comcast, AT&T, and Verizon makes use of Chatbots for analyzing customer requests, and identifying sales opportunities along with enrooting as well as escalating customer queries. Apart from this, Chatbots helps in effectively handling bulk of products & services without any human interference, thereby enhancing the utilization of AI in telecom industry.

Artificial Intelligence in Telecommunication Market: Growth Factors

Massive need for preventing outages in the telecom sector will create massive demand for artificial intelligence in telecommunication market. In addition to this, artificial intelligence uses predictive maintenance technique monitoring performance of the telecom equipment for minimizing failures caused during telecom operations. Apparently, AI helps in network optimization based on the requirements of the telecom sector. Furthermore, artificial intelligence aids telecom sector in robotic process automation, helps in fraud detection, and data-based business decisions.

Furthermore, escalating acceptance of AI in telecom industry as well as its large-scale use in smartphones & iPhones will drive the market trends. Need for reducing operating costs and labor charges will make the use of AI more popular in telecom sector, thereby steering the growth of artificial intelligence in telecommunication market over the anticipated timeframe. With introduction of 5G and 6G networks, the application of artificial intelligence in telecom market is anticipated to expedite & surge exponentially within the span of next couple of years.

North America To Make Huge Contributions Towards Overall Industry Share By 2026

The regional market growth over the forecast timespan is due to large-scale acceptance of AI technologies in telecom industry. Apart from this,  increase in the number of telecom firms making utility of AI for improving  customer services in the countries like Canada and the U.S. will prompt the application of artificial intelligence in telecom market in the sub-continent. Need to garner huge returns will prompt the telecom firms in the sub-continent to make use of AI, thereby scaling up the regional market size. In addition to this, presence of tech giants such as Google Incorporation, Cisco Systems, AT&T, IBM Corporation, Microsoft Corporation, NVIDIA Corporation, Intel Corporation, and Nuance Communications in the U.S. will proliferate the regional market growth over the assessment timeline.

Request Free Sample

Key players profiled in the report include

Infosys Limited, Google Incorporation, IBM Corporation, Intel Corporation, AT&T, Microsoft Corporation, Cisco Systems, Nuance Communications, Sentient Technologies, H2O.ai, Salesforce, and NVIDIA Corporation.

The global Artificial Intelligence in Telecommunication Market is segmented as follows:

By Application:

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

By Deployment:

• Cloud
• On-Premise

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of the Middle East & Africa