Artificial Intelligence for Telecommunications Applications Market Analysis and Growth During Lockdown by Top Players in 2021- IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US)

The Artificial Intelligence for Telecommunications Applications Market report provides the overall structure and business outlook of the global and regional industries. The study also involves the important Achievements of the market, Research & Development, new product launch, product responses, and regional growth of the leading competitors operating in the market on a global and local scale. This study provides information about the growth and revenue during the historic and forecasted period of 2016 to 2027. The structured analysis contains graphical as well as a diagrammatic representation of the global Artificial Intelligence for Telecommunications Applications Market with its specific geographical regions.

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“Artificial Intelligence for Telecommunications Applications Market Expected to reach at a CAGR 46.50% during Forecast period 2021-2027”

Top leading Companies Profiled in Artificial Intelligence for Telecommunications Applications Market Report are IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), NVIDIA (US)

Industry Recent Developments and Updates

Jun 28, 2021IBM Brings AI-Powered Automation Software to Networking to Help Simplify Broad Adoption of 5G- ARMONK, N.Y., June 28, 2021  At Mobile World Congress 2021, IBM (NYSE:IBM) announced new hybrid cloud AI-powered automation software for communications service providers (CSPs) to help deliver on the promise of 5G, including zero-touch operations, reduced costs and the rapid delivery of innovative services to customers.  Using IBM Cloud Pak for Network Automation, CSPs can use AI-powered automation to stand up and manage networks quickly, in a wide range of environments, and is engineered to scale new services in days, rather than months.

25th of May 2021 Nokia launches world’s first AI use case library on public cloud for telecoms providers- Espoo, Finland – Nokia today announced the world’s first deployment of multiple AI use cases delivered over public cloud, through collaboration with Microsoft. By integrating Nokia’s security framework with Microsoft Azure’s digital architecture, communications service providers (CSPs) can securely inject AI into their networks nine times faster than using private cloud and scale fast across their network. AI use cases are essential for CSPs to manage the business complexity that 5G and cloud networks bring, and will help accelerate digital transformation.

Market Research Study Focus on these Types:

On-Premise

Cloud ServicesMarket Research Study Focus on these Applications:

Customer Analytics

Network Security

Network Optimization

Self-Diagnostics

Virtual Assistance

Others

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Regional Analysis:

Asia-Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia, and Others), North America (United States, Canada, and Mexico), Central & South America (Brazil, and Rest of South America), Europe (Germany, France, UK, Italy, Russia, and Rest of Europe), Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa and Other)

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Key Takeaways from Artificial Intelligence for Telecommunications Applications Report

─Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level – for product types, end use applications and by different industry verticals

─Understand the different dynamics influencing the Artificial Intelligence for Telecommunications Applications market – key driving factors, challenges and hidden opportunities.

─Get in-depth insights on your competitor performance – Artificial Intelligence for Telecommunications Applications market shares, strategies, financial benchmarking, product benchmarking, SWOT and more

─Analyze the sales and distribution channels across key geographies to improve top-line revenues.

─Understand the industry supply chain with a deep dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes.

─Get a quick outlook on the market entropy – M&A’s, deals, partnerships, product launches of all key players for the past 4 years.

─Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the Artificial Intelligence for Telecommunications Applications

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In conclusion, the Artificial Intelligence for Telecommunications Applications market report presents the descriptive analysis of the parent market supported elite players, present, past and artistic movement information which is able to function as a profitable guide for all the Artificial Intelligence for Telecommunications Applications Industry business competitors. Our expert research analyst’s team has been trained to provide in-depth market research reports from every individual sector which will be helpful to understand the industry data in the most precise way.

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