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New Research: AI in Telecommunication Market Growing at a CAGR of +49% – Major Companies Like Cisco, IBM, Microsoft, Nuance Communications, Intel Labs, AT&T, H2O.ai, Salesforce, NVIDIA

This market research report on AI in Telecommunication Market studied by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, Organization Size, Vertical and Region.

 

Tokyo, Japan -- (SBWIRE) -- 03/02/2019 -- Artificial intelligence is being widely used in various industries such as healthcare, finance, automotive, telecommunication among others. AI technology has the power to revolutionize the industrial processes by increasing productivity and operational efficiencies, saves money and time by automating industrial processes, helps businesses in faster decision making. In telecommunication industry, wireless communication has deep impact on the industry and its users, yet it is a complex invention. To solve the complex nature of wireless systems incorporate the use of AI in telecommunication industry.

The global AI in Telecommunication market is valued at 343.32 million USD in 2017 and is expected to reach 3883.68 million USD by the end of 2023, growing at a CAGR of 49.83% between 2017 and 2023.

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New research report takes a close and analytical look at the various companies that strive for a higher share of the global AI in Telecommunication market. Data on the leading and fastest-growing segments along with what drives them has been given. This report implements a balanced mix of primary and secondary research methodologies for its analysis. The market is segmented on the basis of key criteria. For this purpose, a section dedicated to company profiles has been included in the report.

Top Companies Profiled in this Report includes, Cisco Systems, IBM, Microsoft, Nuance Communications, Intel, AT&T, H2O.ai, Salesforce, NVIDIA

AI in the telecommunication market is segmented into a component, technology, deployment mode, application, and geography. Based on the deployment mode, AI in telecommunication market is classified into on-premise and cloud. Cloud deployment model is estimated to hold the largest share of a market in forecast period due to as organizations are focusing on planning cost-effective services.

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AI in Telecommunication market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis. The report provides detailed industry analysis of the global AI in Telecommunication market with the help of proven research methodologies such as Porter's five forces. The major geographical regions which include, North America, Asia Pacific, Europe, the Middle East & Africa and Latin America are studied.

Key questions answered in the report include
- What will the market size and the growth rate be in 2025?
- What are the key factors driving the global AI in Telecommunication market?
- What are the key market trends impacting the growth of the global AI in Telecommunication market?
- What are the challenges to market growth?
- Who are the key vendors in the global AI in Telecommunication market?
- What are the market opportunities and threats faced by the vendors in the global AI in Telecommunication market?
- Trending factors influencing the market shares of the APAC, Europe, North America, and ROW.
- What are the key outcomes of the five forces analysis of the global AI in Telecommunication market?

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Table of Contents
Global AI in Telecommunication Market Research Report
Chapter 1 AI in Telecommunication Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global AI in Telecommunication Market Forecast