The global Artificial Intelligence (AI) in telecommunication market size was USD 1.70 Billion in 2022 and is expected to register a rapid revenue CAGR of 41.4% during the forecast period. Rising adoption of AI solutions in various telecom applications, increased need for monitoring the content spread on telecommunication networks, and advent of Fifth Generation (5G) technology in smartphones are key factors driving market revenue growth. Artificial Intelligence (AI) in telecom uses software & algorithms to estimate human perception, to analyze big data such as data consumption, call record, and use of the application, to improve the customer experience. Telecom companies use AI primarily for customer service applications, for instance, use of chatbots and virtual assistants to address various support requests for installation, maintenance, and troubleshooting. Field and service operations make up 60% to 70% of the majority of telecommunications operational budgets, which can be resolved by applying Artificial Intelligence (AI) for its immediate and significant benefits.
The Global AI in Telecommunication Market research report added by Emergen Research is an extensive study of the industry and includes a study of several factors that impact the growth of the market. The report is formulated by taking into consideration the government policies, market landscape, technologies, market risks, opportunities, and challenges faced by the market. The report further analyzes historical data, current and future market trends, recent technological developments, key competitors, and regional bifurcation.
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Key Players operating in the industry are:
IBM Corporation, Google LLC, Microsoft, Intel Corporation, AT&T Intellectual Property, Infosys Limited, Salesforce, Inc., Cisco Systems, Inc., Nuance Communications, Inc., NVIDIA Corporation, Sentient.io, H2O.ai, Evolv AI, ZTE Corporation, and Huawei Technologies Co., Ltd
Radical Features of the AI in Telecommunication Market Report:
The report encompasses AI in Telecommunication market overview along with market share, demand and supply ratio, production and consumption patterns, supply chain analysis, and other ley elements
An in-depth analysis of the different approaches and procedures undertaken by the key players to conduct business efficiently
Offers insights into production and manufacturing value, products and services offered in the market, and fruitful information about investment strategies
Supply chain analysis along with technological advancements offered in the report
The report covers extensive analysis of the trends, drivers, restraints, limitations, threats, and growth opportunities in the AI in Telecommunication industry
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Segmentation:
Component Outlook (Revenue, USD Billion; 2019-2032)
Solutions
Software Tools
Platforms
Services
Professional Services
Managed Services
Deployment Mode Outlook (Revenue, USD Billion; 2019-2032)
On-Premise
Cloud
Technology Outlook (Revenue, USD Billion; 2019-2032)
Machine Learning (ML)
Natural Language Processing (NLP)
Others
Regional Analysis Covers:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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