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AI in Telecom Market Witness to Grow Remarkable CAGR of 30.5% by 2026 | Know the Which Companies Could Potentially Benefit or Loose out From the Impact of COVID-19

06-05-2020 01:12 PM CET | IT, New Media & Software

Press release from: AllTheResearch

The Global AI in Telecom Market Ecosystem was valued at US$ 4,619.5 Mn in 2018 and is expected to reach US$ XX Mn by 2023, growing with a CAGR of 30.5% by 2027.
The ripple effect of Coronavirus-COVID19 on the AI in Telecom Market Ecosystem needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the AI in Telecom Market. Key datasets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.

Download Sample PDF of COVID-19 ToC to understand the impact and be smart in redefining business strategies.
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Increasing use of artificial intelligence by telecom companies to improve customer satisfaction has been driving the growth of AI in telecom ecosystem in recent years. Virtual assistants are used to scale and automate the responses to the queries of clients, which helps cut the expenses and enhance the experience of customers.

Market Segmentation:
Following Top Key players are profiled in this Market Study:
Microsoft, Google LLC, IBM, Amazon, Apple and more…

End-Use Industry: Fraud Reduction, Cybersecurity, Network Security, Network Optimization, Customer Analytics, Virtual Assistance, Network Operations & Monitoring Management, Security & Surveillance, Recommendation Engines, Inventory Management, Others

Based on the end-use industry, the water & wastewater segment was dominating the market in 2019 and is expected to witness similar trends during the forecast period in the AI in Telecom market ecosystem. The water and wastewater market is expected to grow at a CAGR of 5.6% in terms of revenue as well as volume over the forecast period. Although water reuse isn't new for some end clients, rising endeavors can change water foundation and conveyance. It can make water and wastewater treatment savvier just as progressively reasonable. Normal water sources are not accessible in numerous semi-parched and bone-dry zones.

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REGIONAL ANALYSIS OF AI in Telecom MARKET ECOSYSTEM
Based on regions, North America dominated the market in 2018 and is expected to witness similar trends in the coming years. Increasing proliferation of 5G across the region is expected to drive the demand for AI in telecom in North America in the coming years. The U.S. is expected to dominate the North America market, owing to an increase in service revenue of telecom companies. T-mobile in the US is expected to increase its servicer revenue by 5%-7%, while Verizon and AT&T are expected to experience growth by 0-2% by 2020. Further, the Asia Pacific region is expected to grow at the fastest pace during the forecast period. The presence of major players such as AT&T, Vodafone, Orange, and others is expected to drive market growth in the region

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Table of Content:
Ecosystem Report – Table of Content
1.Introduction
1.Global AI in Telecom Market Ecosystem Definition
2.Scope of study 
2.Executive Summary
1.Global Market Segmentation
AI in Telecom Market Ecosystem Positioning
1.Global AI in Telecom Market Ecosystem Snapshot

2.Global AI in Telecom Market Ecosystem Segmentation
1.By Component
AI in Telecom Market Ecosystem Sizing, Volume, and ASP Analysis & Forecast
1.Global AI in Telecom Market Ecosystem Sizing & Volume
1.Cross-segmentation
And More…

View Complete Report with Different Company Profiles
https://www.alltheresearch.com/report/372/ai-in-telecom-ecosystem-market

AllTheResearch
Contact Person: Rohit B.
Tel: 1-888-691-6870
Email: contactus@alltheresearch.com

About Us:
AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference.

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