AI in Telecommunication Market, Revenue Share Analysis, Region & Country Forecast, 2021–2032

The global Artificial Intelligence (AI) in telecommunication market size was USD 1.70 Billion in 2022 and is expected to register a rapid revenue CAGR of 41.4% during the forecast period

The global Artificial Intelligence (AI) in telecommunication market size was USD 1.70 Billion in 2022 and is expected to register a rapid revenue CAGR of 41.4% during the forecast period. Rising adoption of AI solutions in various telecom applications, increased need for monitoring the content spread on telecommunication networks, and advent of Fifth Generation (5G) technology in smartphones are key factors driving market revenue growth. Artificial Intelligence (AI) in telecom uses software algorithms to estimate human perception, to analyze big data such as data consumption, call record, and use of the application, to improve the customer experience. Telecom companies use AI primarily for customer service applications, for instance, use of chatbots and virtual assistants to address various support requests for installation, maintenance, and troubleshooting.  Field and service operations make up 60% to 70% of the majority of telecommunications operational budgets, which can be resolved by applying Artificial Intelligence (AI) for its immediate and significant benefits.

The Global AI in Telecommunication Market report assesses the historical and current data along with a thorough analysis of the market dynamics. The report also sheds light on the significant market growth driving and restraining factors that are anticipated to influence the market growth through the forecast period. The Global AI in Telecommunication Market studies the market scenario to offer growth projections for the AI in Telecommunication industry for the forecast period of 2020-2027. The report focuses on potential growth opportunities and limitations the prominent players of the industry might face during the entirety of the forecast timeline. The report pays special heed to the emerging business components, niche sectors, and product launches and brand promotions occurring in the market to help the readers make fruitful investment strategies.

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Competitive Outlook: The leading companies operating in the AI in Telecommunication market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Top Companies Operating in the AI in Telecommunication Market and Profiled in the Report are:

IBM Corporation, Google LLC, Microsoft, Intel Corporation, ATT Intellectual Property, Infosys Limited, Salesforce, Inc., Cisco Systems, Inc., Nuance Communications, Inc., NVIDIA Corporation, Sentient.io, H2O.ai, Evolv AI, ZTE Corporation, and Huawei Technologies Co., Ltd

Objectives of the Report:

Study of the global AI in Telecommunication market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)

Industrial structure analysis of the AI in Telecommunication market by identification of various sub-segments

Extensive analysis of key market players along with their SWOT analysis

Competitive landscape benchmarking

Analysis of AI in Telecommunication market based on growth trends, futuristic outlook, and contribution to the total growth of the market

Analysis of drivers, constraints, opportunities, challenges, and risks in the global AI in Telecommunication market

Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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Segments Covered in this report are:

 

  • Component Outlook (Revenue, USD Billion; 2019-2032)

    • Solutions
      1. Software Tools
      2. Platforms
    • Services
      1. Professional Services
      2. Managed Services
  • Deployment Mode Outlook (Revenue, USD Billion; 2019-2032)

    • On-Premise
    • Cloud
  • Technology Outlook (Revenue, USD Billion; 2019-2032)

    • Machine Learning (ML)
    • Natural Language Processing (NLP)
    • Others

Regional Analysis:

North America (U.S., Canada)

Europe (U.K., Italy, Germany, France, Rest of EU)

Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)

Latin America (Chile, Brazil, Argentina, Rest of Latin America)

Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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