
North America AI in Telecommunication Market Size, Share & Industry Trends Analysis Report By Technology, By Deployment (On-premise, and Cloud), By Component (Solution, and Service), By Application, By Country and Growth Forecast, 2022 - 2028
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Market Report Description
The North America AI in Telecommunication Market would witness market growth of 36.6% CAGR during the forecast period (2022-2028).
The use of AI-enabled smartphones, which have more features than traditional phones, such as voice recognition, image identification, and solid security, is accelerating the development of AI in telecommunication market. Moreover, AI in telecommunications offers a simpler and easier interface to accommodate complex operations or telecom services. In addition to all of this, AI also helps to increase the effectiveness of telecommunication networks by enabling them to behave autonomously and make decisions to decrease network congestion, which is not achievable with traditional telecommunication.
In addition, developments like mobile 5G technology and the growing need to monitor material on the communication network are propelling the development of AI in the telecommunications sector. Market expansion is fueled by the expanding use of AI solutions in various telecom applications. The proliferation of AI-enabled smartphones, which have more features than traditional phones, including voice recognition, image identification, and strong security, is accelerating the development of AI in the telecommunication market.
One of the world's biggest OTT markets is in the United States. Increasing demand for VOD content, a high rate of per-user payment, and the increasing penetration of smart devices like smart TVs and smartphones are key drivers propelling the nation's OTT business. A further advantage for the local market is that most of the leading international OTT vendors, such as Netflix and Amazon, are in the US. In addition, the regional AI in telecommunication market's expansion is predicted to be supported by the rapidly growing telecommunications sector.
The US market dominated the North America AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $2,660 million by 2028. The Canada market is showcasing a CAGR of 39.7% during (2022 - 2028). Additionally, The Mexico market would register a CAGR of 38.4% during (2022 - 2028).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Data Analytics, and Others. Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Service. 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.
Free Valuable Insights: The Global AI in Telecommunication Market is Predict to reach $10 Billion by 2028, at a CAGR of 37.4%
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, AT&T, Inc., IBM Corporation, Infosys Limited, Intel Corporation, Microsoft Corporation, Salesforce.com, Inc., ZTE Corporation, Google LLC (Alphabet, Inc.), and Cisco Systems, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Data Analytics
- Others
By Deployment
- On-premise
- Cloud
By Component
- Solution
- Service
By Application
- Network Optimization
- Virtual Assistance
- Customer Analytics
- Self-Diagnostics
- Network Security
- Others
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- NVIDIA Corporation
- AT&T, Inc.
- IBM Corporation
- Infosys Limited
- Intel Corporation
- Microsoft Corporation
- Salesforce.com, Inc.
- ZTE Corporation
- Google LLC (Alphabet, Inc.)
- Cisco Systems, Inc.
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