AI in Telecommunication Market Scope:
Artificial intelligence has found wide scale of applications in various end-user industries such as healthcare, telecommunication, automotive, and many others. AI technology has been observed to have the power to revolutionize industrial processes through increased productivity and operational efficiencies, cost and time effectiveness through the automation of industrial processes, and aids businesses in faster decision making. Within the telecommunication industry, wireless communication is known to have a deep impact on the industry and its users, even though it is a complex invention. For solving complex natured problems of wireless systems incorporate the use of artificial intelligence in telecommunication industry. AI in telecommunication has led to intelligent decision making to manage dynamic network traffic and resources and brings automation in the industry for the reduction of cost and increasing efficiency.

Some of the key drivers of the AI in Telecommunication Industry include the increasing demand for autonomously driven network solution. The networks in telecommunication are becoming complex in nature and are observed to expand in size, which is cashing on the limitations of humans to manage such large size and complex networks. Hence, there is a necessity to develop highly sophisticated, autonomous and intelligent network driven solutions that can be provided by using artificial intelligence in telecommunication.

Through the use of intelligent and autonomous network solutions, telecommunication companies are augmenting their speed of service, quality of network, and enhancing customer experience with the reduction in operating cost. As per the experts at Market Research Future (MRFR), the global AI in telecommunication market is estimated to mount at a whopping 32% CAGR over the forecast period, recording a market revenue valuation of USD 1 billion by the end of 2023.

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AI in Telecommunication Market Major Key Players:
Some distinguished players present in the global AI in telecommunications market include Huawei Technologies Co. Ltd (China), IBM Corporation (US), Microsoft Corporation (US), Intel Corporation (US), Cisco Systems (US), Nuance Communication (US), ZTE Corporation (China), H2O.ai (US), Salesforce (US), Infosys Limited (India), Google LLC (US).

AI in Telecommunication Market Segmentation:
The global AI in telecommunication market is studied for various segments to gain a deeper understanding of the market. Such segmentation is carried out based on components, deployment mode, application, technology, and region.
• By component, the global AI in telecommunication market is segmented into solution and services. The solution segment is further segmented into network optimization, software-defined network & network function virtualization, and network security. The services segment is further segmented into managed services and professional services.
• By deployment mode, the global AI in telecommunication market is segmented into on-premise and on-cloud.
• By technology, the global AI in telecommunication market is segmented into machine learning and deep learning, and natural language processing.
• Based on application the global market for AI in telecommunications is segmented into resource utilization and network optimization, anomaly detection, traffic classification, network orchestration, and predictive maintenance.

AI in Telecommunication Market Detailed Regional Analysis:
The global AI in telecommunication market is segmented into the regions of North America, Asia Pacific, Europe, and Rest of the World. North America is expected to be at the fore of the AI in telecommunications market, globally. Such market dictation can be owed to the presence of a large number of market giants such as Microsoft Corporation, IBM Corporation, and Cisco Systems.

These vendors are leading providers of AI enabled solutions for the telecommunications industry. On the other hand, Asia Pacific is estimated to exhibit the fastest CAGR during the forecast period. Attributable factors include the digital transformation in various countries in this region which has enabled the use of AI driven solutions in the telecommunications industry.

About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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