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AI in Telecommunication Market by Component (Solution and Services), Deployment (Cloud and On Premises), Applications (Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others), and Technology (Machine Learning & Deep Learning and Natural Language Processing (NLP)): Global Opportunity Analysis and Industry Forecast, 2020–2027
| A09352 | Pages: NA | Dec 2020 | 124 Views | | |
| Author(s) : NA | Tables: NA | Charts: NA | Formats*: | |
COVID-19
Pandemic disrupted the entire world and affected many industries.
Get detailed COVID-19 impact analysis on the Ai In Telecommunication Market
Request Now !AI in Telecommunication Market Insight
AI in telecommunication is helping communications service providers (CSPs) to build self-optimizing networks (SONs), which give operators the capability to automatically enhance network excellence based on traffic data by time zone and region. Artificial Intelligence submissions in the telecommunications industry use innovative algorithms to look for patterns inside the data, allowing operators to predict and detect network anomalies, and permitting them to proactively fix difficulties before clients are negatively stuck to enhance their customer experience. Artificial Intelligence applications in the telecommunications industry are increasingly helping CSPs optimize, manage and maintain infrastructure, as well as customer provision processes. AI in telecommunication market has impacted network optimization, predictive maintenance, virtual assistants and robotic process automation (RPA) to deliver enhanced customer experience and efficiency in the organizations.
AI in Telecommunication Market Scope and Structure Analysis:
Report Metric | Details |
 Market size available for years |  2020–2027 |
 Base year considered |  2019 |
 Forecast period |  2021–2027 |
 Forecast units |  Value ($) |
 Segments covered |  Component, Applications, Deployment, Technology and Regions |
 Regions covered | North America (U.S. and Canada), Europe (Germany, UK, France, and the Rest of Europe), Asia-Pacific (China, Japan, India, and the Rest of Asia-Pacific), Latin America (Brazil, Mexico, and the Rest of LATAM) and The Middle East and Africa |
 Companies covered | Major players analysed in the market include AT&T Inc., Cisco Systems Inc., H2O.ai Inc., Google LLC, IBM Corporation, Infosys Ltd., Intel Corporation, Microsoft Corporation, NVIDIA Corporation, and Salesforce.com Inc. |
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Impact of COVID-19 on AI in Telecommunication Market
- Google declared the expansion of the rapid reply virtual manager in the google cloud. The rapid response virtual manager will permit call motivations to quickly execute and manufacture a modified contact community AI virtual specialist to react to questions and issues clients may be encountering due to COVID-19 over voice, social channels and visit.
- Companies that provide business solutions and better network connectivity to end user, essential to modification their attention to provide better applications and home-based solutions to end users.
- Post COVID-19, will bring an increased level of digital access to information and businesses across the globe. Â CSPs will experience an increase in isolated working among their own workers.
- Overall, the present scenario is expected to have a positive impact on telecommunication industry and boost the market growth.
Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis
AI in telecommunication market is expected to rise due to increasing number of AI-enabled smartphones and advent of 5G technology in mobile network. AI in telecom help organization to increase their efficiency because with the support of machine learning and artificial intelligence, the telecommunication network have autonomously act and make a qualified decision to reduce network congestion. This is considered as an important factor to boost the market across the globe. The rising requirement to display contented on telecommunication network and surge to remove human error from the telecommunication networks is another factor boosting the growth of the AI in telecommunication market. However, major restraint for the AI in telecommunication market is incompatibility between telecommunication systems and AI technology that leads to integration complexity in network management solutions. Contrarily, growing demand for effective and efficient cloud-based AI solutions in telecommunication industry and increasing penetration of AI enabled smartphones in the telecommunication industry are creating opportunities for AI solution providers.
Network applications in telecommunication
Al and machine learning are emerging in the telecommunication as they help organizations with virtualization and cloud computing. Increasing complexity in networking applications is driving the need for network automation and agility in telecom. Network automation platforms been integrated in the organizations provide timely and reliable management operations.
Key segments covered:
Segments | Subsegments |
 Component |
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 Application |
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 Deployment |
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 Technology |
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Key benefits of the report:
- This study presents the analytical depiction of the global AI in telecommunication industry along with the current trends and future estimations to determine the imminent investment pockets.
- The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the global AI in telecommunication market share.
- The current market is quantitatively analyzed from 2021 to 2027 to highlight the market growth scenario.
- Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.Â
- The report provides a detailed global AI in telecommunication market analysis based on competitive intensity and how the competition will take shape in coming years.
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