United States AI in Telecommunication Market is expected to grow at a double digit CAGR during 2023-2027 owing to growing investments in AI and growing demand for reducing costs, increase revenue & enhance asset utilization. United States is expecting to triple the investments in AI over the next five years. Based on deployment type, the cloud-based deployment mode grew at a highest CAGR in 2021, since AI in telecommunication solution providers are concentrating on the growth of cloud-based solutions, as many administrations are in progress of adopting the cloud-based deployment mode. Moreover, the cloud deployment mode is easy to access which drives the United States AI in Telecommunication market further. The major players in United States AI in Telecommunication Market are Intel (US), IBM (US), Microsoft (US), Google (US), AT&T (US) and many others.

Some of the leading players in the United States AI in Telecommunication market are AT&T, IBM, Google, Cisco System, Nvidia, Infosys, Intel, Microsoft, Nuance Communications, Salesforce, etc.

Objective of the Study:

  • To analyse and forecast the market size of AI in Telecommunication, in terms of value.
  • To classify and forecast United States AI in Telecommunication based on component, technology, application, deployment type and regional distribution.
  • To identify drivers and challenges for United States AI in Telecommunication.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in United States AI in Telecommunication.
  • To conduct the pricing analysis for AI in Telecommunication.
  • To identify and analyse the profile of leading players involved in the manufacturing of United States AI in Telecommunication.


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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across United States. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analysed the service offerings, distribution channels and presence of all major collaboration manufacturers across United States.

TechSci Research calculated the market size of United States AI in Telecommunication using a bottom-up approach, where data for various end user industries and its application across various product types were recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analysing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company website, news articles, press releases, company annual reports, investor presentations and financial reports were also used by TechSci Research.

Key Target Audience:

  • AI in Telecommunication solution/service vendors
  • Technology providers
  • Telecommunication Companies
  • Research organizations and consulting companies.
  • Research Institutes
  • Industry associations
  • Market research and consulting firm.

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as collaboration service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Attribute

Details

Base Year

2021

Historical Data

2017 – 2020

Estimated Year

2022

Forecast Period

2023 – 2027

Quantitative Units

Revenue in USD Million and CAGR for 2017-2021 and 2022E-2027F

Report coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments covered

·         Component

·         Technology

·         Application

·         Deployment Type

Regional scope

Northeast Region, South Region, West Region, Mid-west Region

Key companies profiled

AT&T, IBM, Google, Cisco System, Nvidia, Infosys, Intel, Microsoft, Nuance Communications, Salesforce.

Customization scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

Pricing and purchase options

Avail customized purchase options to meet your exact research needs. Explore purchase options

Delivery Format

PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Report Scope:

In this report, United States AI in Telecommunication market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • United States AI In Telecommunication Market, By Component:
    • Solutions
    • Services
  • United States AI In Telecommunication Market, By Technology:
    • Machine Learning & Deep Learning
    • Natural Language Processing
  • United States AI In Telecommunication Market, By Application:
    • Customer Analytics
    • Network Security
    • Self-Diagnostics
    • Network Optimization
    • Virtual Assistance
    • Others
  • United States AI In Telecommunication Market, By Deployment Type:
    • Cloud
    • On-Premises
  • United States AI In Telecommunication Market, by Region:
    • South-Region
    • West-Region
    • Mid-West-Region
    • Northeast-Region

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in AI in Telecommunication.

Available Customizations:

With the given market data, TechSci Research offers customizations according the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Profit Margin Analysis

  • Profit margin analysis in case of direct and indirect sales channel.

It is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]  

In case you don’t find what you are looking for, please get in touch with our custom research team at [email protected]

1.    Product Overview

2.    Research Methodology

3.    Impact of COVID-19 on United States AI in Telecommunication Market

4.    Executive Summary

5.    Voice of Customers

5.1.  Vendor Satisfaction

5.2.  Product Awareness

5.3.  Overall Satisfaction

5.4.  Challenges

6.    United States AI in Telecommunication Market Outlook

6.1.  Market Size & Forecast

6.1.1.     By Value         

6.2.  Market Share & Forecast

6.2.1.     By Component (Solutions and Services)

6.2.2.     By Technology (Machine Learning & Deep Learning and Natural Language Processing)

6.2.3.     By Application (Customer Analytics, Network Security, Self-Diagnostics, Network Optimization, Virtual Assistance and Others)

6.2.4.     By Deployment Type (Cloud and On-Premises)

6.3.  Market Attractiveness Index

7.    United States Machine Learning & Deep Learning AI in Telecommunication Market Outlook

7.1.  Market Size & Forecast

7.1.1.     By Value         

7.2.  Market Share & Forecast

7.2.1.     By Application

7.2.2.     By Deployment Type

7.3.  Market Attractiveness Index

8.    United States Natural Language Processing AI in Telecommunication Market Outlook

8.1.  Market Size & Forecast

8.1.1.     By Value         

8.2.  Market Share & Forecast

8.2.1.     By Application

8.2.2.     By Deployment Type

8.3.  Market Attractiveness Index

9.    Market Dynamics

9.1.  Drivers

9.2.  Challenges

10.  Market Trends & Developments

11.  Price Point Analysis

12.  Policy & Regulatory

13.  United States Economic Profile

14.  Competitive Landscape

14.1.              Company Profile

14.1.1.  AT&T

14.1.2.  IBM

14.1.3.  Google,

14.1.4.  Cisco System

14.1.5.  Nvidia,

14.1.6.  Infosys

14.1.7.  Intel

14.1.8.  Microsoft

14.1.9.  Nuance Communications

14.1.10.                Salesforce

 15. Strategic Recommendations

In case you don’t find what you are looking for, please get in touch with our custom research team at [email protected]