Europe AI in Telecommunication Market Size, Share & Industry Trends Analysis Report By Technology, By Deployment (On-premise, and Cloud), By Component (Solution, and Service), By Application, By Country and Growth Forecast, 2022 - 2028

The Europe AI in Telecommunication Market would witness market growth of 37.1% CAGR during the forecast period (2022-2028).

AI in telecommunications offers a simpler and easier interface to accommodate complex operations or telecom services. Moreover, expanding Over-The-Top (OTT) services like video streaming have changed how music and video content are distributed and consumed. As a result, the demand for bandwidth has increased significantly as more customers use OTT services. Handling this much traffic from OTT services results in high operational expenses (OpEx) for the telecom sector. Hence, AI assists the telecom sector in lowering operational costs by reducing the human interaction required for network configuration and maintenance.

Automation and AI can be used by telecom firms to lower operational costs while enhancing customer satisfaction. With computers performing human duties, such as choosing the traffic route by reading network material, artificial intelligence has already benefited the core of the telecommunications industry. Furthermore, it also assists in developing the self-optimizing network, which can shape the system based on current conditions within the bounds defined by the appropriate designer. It assists network operations in identifying problems, such as Service-Level Agreement (SLA) violations, and determining their underlying causes.

The British market for telecommunications is one of the world's largest. The availability of telecommunications infrastructure is deemed crucial since it facilitates substantial economic and social activities in the UK. Mobile and internet networks in the United Kingdom have accommodated the increase in distant employment. To ensure that data demand and consumption can be met, providers continue to extend their networks and increase their capacity. In the United Kingdom, 5G is being deployed in a non-standalone (NSA) mode, which is dependent on the 4G LTE core network.

With 5G core networks and 5G RAN, it is expected that all operators will eventually upgrade to 5G standalone (SA), especially as more 5G capabilities, including ultra-low latency communication (URLC) and virtual network functions, such as network slicing, increase and introduce new use cases for the technology. This continual rise of the region's telecommunications industry would result in the expansion of regional AI in telecommunication market.

The Germany market dominated the Europe AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $657.3 million by 2028. The UK market would generate a CAGR of 36% during (2022 - 2028). Additionally, The France market is poised to grow at a CAGR of 38.2% during (2022 - 2028).

Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Data Analytics, and Others. Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Service. Based on Application, the market is segmented into Network Optimization, Virtual Assistance, Customer Analytics, Self-Diagnostics, Network Security, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

Free Valuable Insights: The Global AI in Telecommunication Market will Hit $10 Billion by 2028, at a CAGR of 37.4%

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, AT&T, Inc., IBM Corporation, Infosys Limited, Intel Corporation, Microsoft Corporation, Salesforce.com, Inc., ZTE Corporation, Google LLC (Alphabet, Inc.), and Cisco Systems, Inc.

Scope of the Study

Market Segments Covered in the Report:

By Technology

• Machine Learning
• Natural Language Processing (NLP)
• Data Analytics
• Others

By Deployment

• On-premise
• Cloud

By Component

• Solution
• Service

By Application

• Network Optimization
• Virtual Assistance
• Customer Analytics
• Self-Diagnostics
• Network Security
• Others

By Country

• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe

Key Market Players

List of Companies Profiled in the Report:

• NVIDIA Corporation
• AT&T, Inc.
• IBM Corporation
• Infosys Limited
• Intel Corporation
• Microsoft Corporation
• Salesforce.com, Inc.
• ZTE Corporation
• Google LLC (Alphabet, Inc.)
• Cisco Systems, Inc.

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