Artificial Intelligence in Telecommunication Market is Projected to Have a Significant CAGR of 27.5% from 2022 to 2032

With a 27.5 percent CAGR from 2022 to 2032, the global artificial intelligence in telecommunications market is expected to be worth US$ 918.6 million in 2022 and US$ 10,399.9 million by 2032.

As telecom companies utilise AI to improve customer loyalty and organisational strength, among other areas of their operations, the acceptability of AI in telecommunications is expanding. Since telecom businesses predominantly utilise AI in client service applications, the use of AI in telecoms is predicted to increase.

The employment of chatbots and manual assistants to handle a huge amount of installation, maintenance, and troubleshooting assistance demands is another important development in artificial intelligence in the telecommunications industry.

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Moreover, remote helpers automate and scale responses to support requests, improving customer satisfaction and reducing business expenses. The market share for artificial intelligence in telecommunications is then anticipated to increase through 2032.

The most recent trend in artificial intelligence in the telecommunications industry may be the development of conscious AI frameworks that are clever and can quickly determine their condition. These frameworks use the notice-arrange-act method to handle decision-making. As a result, interest in artificial intelligence in communications is anticipated to increase during the projection time frame.

Free time might be minimized using AI, which is another component driving the development of artificial intelligence in telecommunication market size. Moreover, maintenance work can be achieved rapidly by employing setting mindful innovation and IoT strategies.

Numerous businesses utilize robots to perform network fixes. Comarch is one such startup that utilizes AI-empowered robots to give telecom network maintenance arrangements.

Key Takeaways from Market Study

  • Due to the rising need for real-time behavioral insights, the consumer analytics category is expected to have the greatest market share by 2032, with a valuation of US$ 2,294.4 Mn.
  • As customer service automation saves costs for telecom companies, the virtual assistance market is expected to grow the fastest during the projection period, at a CAGR of 24.5 percent.
  • Europe is expected to dominate the artificial intelligence market in telecommunication by 2032, with a CAGR of 25.7 percent between 2022 and 2032. European telecommunication companies have been observed prioritizing investments in order to make better data-informed decisions.
  • By 2032, North America is expected to account for the second highest portion, with a value of US$ 1,802.7 Mn.
  • The Middle East and Africa artificial intelligence in telecommunication market is expected to be valued at US$ 419.6 Mn by 2022-2032, growing at the fastest CAGR of 31.1 percent.

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Competitive Landscape

The presence of multiple players in artificial intelligence in telecommunication market makes it competitive. Market participants are attempting to increase their client base through a variety of strategic activities such as partnerships, mergers and acquisitions, and collaborations.

Furthermore, with the right forecasts from AI systems, users can obtain insight into their decisions before implementing them in real life. Telecom companies can get a competitive advantage by exploiting AI’s predictive capabilities.

The following companies are among the major players in the global artificial intelligence in telecommunication market: IBM Corp., Microsoft Corp., Intel Corp., Google LLC, AT&T Intellectual Property, Cisco Systems, Inc., Nuance Communications, Inc., Evolv Technology Solutions, Inc., H2O.ai, Infosys Ltd., Salesforce.com, Inc., and NVIDIA Corp.

Recent Developments in Artificial Intelligence in Telecommunication Market:

  • In March 2020, Google partnered with AT&T Intellectual Property to let enterprises use Google Cloud’s technology by leveraging 5G network connectivity. AT&T Intellectual Property’s 5G network capabilities and Google Cloud’s strengths in analytics, AI/machine learning, and networking are being combined to create 5G solutions.
  • In May 2021, Nokia launched AVA Telco AI as a Service, which provides cloud-based artificial intelligence solutions to communication service providers (CSPs) to automate capacity planning, network management, and service assurance.
  • Vodafone Group launched ‘TOBi,’ a machine learning chatbot that helps human customer support professionals to focus on more complex scenarios, in June 2019.

How is the Start-up Ecosystem in the Artificial Intelligence in Telecommunication Market?

Startups in the artificial intelligence in telecommunication market are conducting their own AI research in order to strengthen their business models. It is easier for telecom firms to make accurate decisions when using AI. Furthermore, with the appropriate forecasts from AI systems, users can gain insight into their decisions before putting them into action in real life. Telecom firms can get an advantage over their competitors by utilizing AI’s predictive skills.

For example, Cujo.ai has a one-of-a-kind product called Sentry, which can handle massive datasets in seconds. This AI system has advanced to the point where it can determine whether or not there is a security issue. Furthermore, these systems are highly trained with real-world data, allowing them to detect and respond to unauthorized network behaviors.

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Key Segments

By Application:

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

By Region:

  • North America
  • Latin America
  • Europe
  • Asia Pacific
  • MEA

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Future Market Insights (ESOMAR certified market research organization and a member of Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments on the basis of Source, Application, Sales Channel and End Use over the next 10-years.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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