Global AI in Telecommunication Market Report from AMA Research highlights deep analysis on market characteristics, sizing, estimates and growth by segmentation, regional breakdowns & country along with competitive landscape, players market shares, and strategies that are key in the market. The exploration provides a 360° view and insights, highlighting major outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions to improved profitability. In addition, the study helps venture or private players in understanding the companies in more detail to make better informed decisions.
Major Players in This Report Include,
IBM (United States), Microsoft (United States), Intel (United States), AT&T (United States), Cisco Systems (United States), Google, Inc., Nuance Communications (United States), H2O.ai (United States), Salesforce (United States), Nvidia (United States), Sentient Technology (United States) and Infosys (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Hewlett Packard Enterprise (HP) (United states), Vodafone Group Plc (United Kingdom) and Baidu Inc. (China).
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Artificial Intelligence with learning abilities is a revolutionary technology, which the communication industry is exploring, with the aim of introducing it into communication networks to provide new services, to improve network efficiency and user experience. Communication is a sector with heavy ICT use, dealing with a variety of consumer demands on individualization requirements, multimedia services, and precision management. AI and Big Data are two of the emerging technologies that are used in the Telecommunications sector extensively, helping CSPs manage, optimize and maintain not only their infrastructure but their customer support operations as well. This paper has highlighted an AI-based network framework for introducing AI in communication networks and services, with SDN/ NFV collaboratively deployment. Technology is already a core part of the telecommunications industry, and as Big Data tools and applications become more available and sophisticated, AI can be expected to continue to grow in this space. The telecommunications industry has been a fertile field of application for AI. Some of the earliest field applications of expert systems were in telecommunications. AI has found a wide application in increasing the efficiency of the telecommunications infrastructure. As operators transition their network architectures with software-defined networking and virtualization technologies that enable automation, AI will leverage these capabilities to self-diagnose, self-heal and self-orchestrate the network. One of the greatest abilities of AI is its ability to gather and process the large volume of data associated with both the network and its devices to better understand, optimize and improve network capabilities through faster decision making.
Market Leaders and their expansionary development strategies
On 17th July 2019, T&T Communications and Microsoft Corp. are embarking on an extensive, multiyear alliance where the two companies will apply technologies, including cloud, AI, and 5G, to improve how people live and work today and in the future. And On 13th May 2019, SK Telecom and Microsoft Corp. signed a memorandum of understanding (MOU) on May 7 for comprehensive cooperation in leading-edge ICT, including 5G, artificial intelligence (AI) and cloud.
On 25th February 2019, Telefónica and Microsoft Corp. announced a strategic partnership to collaborate on projects to accelerate Telefónica innovation and transform the telecommunications industry. The new agreement will combine the power of Telefónica’s state-of-the-art networks, unique customer proposition and global reach with the Microsoft Azure AI platform to design services telcos will offer in the future.
• Introduction of IoT Technology
• Increasing Need for Monitoring the Content Spread on Telecommunication Networks
• Growing Awareness Regarding Benefit Of Artificial Intelligence in Telecommunications
• Emergence Of 5G Smartphones
• Upsurging demand due to Cloud Platform for AI in Telecommunication
• Huge Demand due to Automating Telecommunication Operations in Telecommunication Industry
• Rising Concern Regarding Incompatability
• Lack of Skilled Workforce
• Issues Regarding Privacy
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In this research study, the prime factors that are impelling the growth of the Global AI in Telecommunication market report have been studied thoroughly in a bid to estimate the overall value and the size of this market by the end of the forecast period. The impact of the driving forces, limitations, challenges, and opportunities has been examined extensively. The key trends that manage the interest of the customers have also been interpreted accurately for the benefit of the readers.
The AI in Telecommunication market study is being classified by Type, Applications and major geographies with country level break-up that includes South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
The Global AI in Telecommunication is segmented by Type (Solutions (Software Tools, Platforms), Services (Professional Services, Managed Services)), Application (Customer Analytics, Network Security, Self-Diagnostics, Network Optimization, Virtual Assistance, Others), Deployment Mode (Cloud, On-Premises), Technology (Machine Learning & Deep Learning, Natural Language Processing)
The report concludes with in-depth details on the business operations and financial structure of leading vendors in the Global AI in Telecommunication market report, Overview of Key trends in the past and present are in reports that are reported to be beneficial for companies looking for venture businesses in this market. Information about the various marketing channels and well-known distributors in this market was also provided here. This study serves as a rich guide for established players and new players in this market.
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Current Scenario Analysis for Decision Framework
Key Strategic Developments in AI in Telecommunication Market:
The research includes the key strategic activities such as Research & Development (R&D) initiatives, Merger & Acquisition (M&A) completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale to overcome current slowdown due to COVID-19.
Key Market Features in Global AI in Telecommunication Market
The report highlights AI in Telecommunication market features, including revenue size, weighted average regional price, capacity utilization rate, production rate, gross margins, consumption, import & export, demand & supply, cost bench-marking in AI in Telecommunication, market share and annualized growth rate (Y-o-Y) and Periodic CAGR.
Extracts from Table of Contents
Global AI in Telecommunication Market Research Report
Chapter 1 Global AI in Telecommunication Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Revenue (Value, Volume*) by Region
Chapter 5 Global Supplies (Production), Consumption, Export, Import by Regions
Chapter 6 Global Revenue (Value, Volume*), Price* Trend by Type
Chapter 7 Global Market Analysis by Application
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This report also analyzes the regulatory framework of the Global Markets AI in Telecommunication Market Report to inform stakeholders about the various norms, regulations, this can have an impact. It also collects in-depth information from the detailed primary and secondary research techniques analyzed using the most efficient analysis tools. Based on the statistics gained from this systematic study, market research provides estimates for market participants and readers.
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