North America AI in Telecommunication Market

North America AI in Telecommunication Market Size, Share & Trends Analysis Report By Component, By Deployment, By Technology (Machine Learning, Natural Language Processing (NLP), Data Analytics and Others), By Application, By Country and Growth Forecast, 2023 - 2030

Report Id: KBV-20154 Publication Date: February-2024 Number of Pages: 140
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Market Report Description

The North America AI in Telecommunication Market would witness market growth of 39.4% CAGR during the forecast period (2023-2030).

Integrating artificial intelligence (AI) into the telecommunications sector represents a paradigm shift, ushering in a new era of innovation, efficiency, and enhanced customer experiences. Considering the expanding global interconnectivity, telecommunications firms are capitalizing on artificial intelligence (AI) technologies to optimize their processes and fundamentally transform communication services. Furthermore, open Radio Access Network (Open RAN) architectures and AI-powered orchestration are gaining traction in the telecommunications industry. Open RAN allows for a disaggregated and interoperable approach to network infrastructure, while AI orchestration ensures efficient management and optimization of these diverse components, fostering flexibility and innovation.

In addition, the merger of quantum computing and AI promises to unlock unprecedented computing power for telecommunications applications. Quantum AI algorithms have the potential to revolutionize tasks such as complex network optimization, cryptography, and data processing, setting the stage for a new era of computational capabilities. Likewise, neuromorphic computing, inspired by the human brain's architecture, is emerging as a transformative technology for telecommunications. AI algorithms designed using neuromorphic principles promise cognitive networks that can adapt, learn, and evolve in real time, leading to more resilient and intelligent telecommunication infrastructures.

The increasing demand for high-speed, reliable connectivity has led Canadian telecom operators to invest in advanced technologies to optimize network performance. AI is employed for dynamic traffic routing, predictive maintenance, and efficient resource allocation, ensuring the telecom infrastructure operates at peak efficiency. As per the Government of Canada data, in 2021, the telecommunications industry generated $55.3 billion in total revenues, reflecting a 3.4% growth in the sector's overall earnings compared to the previous year, 2020. Hence, the rising telecom sector in North America will boost the demand in the region.

The US market dominated the North America AI in Telecommunication Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $5,031.7 million by 2030. The Canada market is experiencing a CAGR of 42.5% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 41.3% during (2023 - 2030).

Free Valuable Insights: The AI in Telecommunication Market is Predict to reach USD 21.2 Billion by 2030, at a CAGR of 40.4%

Based on Component, the market is segmented into Solution and Service. Based on Deployment, the market is segmented into On-premises and Cloud. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Data Analytics and Others. Based on Application, the market is segmented into Network Optimization, Virtual Assistance, Customer Analytics, Self-Diagnostics, Network Security and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

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List of Key Companies Profiled

  • NVIDIA Corporation
  • IBM Corporation
  • Infosys Limited
  • Intel Corporation
  • Microsoft Corporation
  • Salesforce, Inc.
  • Google LLC (Alphabet Inc.)
  • Cisco Systems, Inc
  • ZTE Corporation
  • AT&T, Inc

North America AI in Telecommunication Market Report Segmentation

By Component

  • Solution
  • Service

By Deployment

  • On-premises
  • Cloud

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Data Analytics
  • Others

By Application

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

By Country

  • US
  • Canada
  • Mexico
  • Rest of North America


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