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.
Furthermore, the report is attuned with the latest market changes and economic landscape with regard to the currently unfolding COVID-19 pandemic. The crisis has affected the demand and supply pattern, as well as the trends of the industry. It has also brought an economic slowdown that has affected the business of the key manufacturers of the industry. The report estimates the impact of this crisis on the current scenario and future prospects and provides a post-COVID market scenario.
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Key companies operating in the AI in Telecommunication market include:
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
Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global AI in Telecommunication market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Key Benefits of the Report:
- Comprehensive analysis of the competitive scenario and its changing dynamics
- Analytical data with detailed SWOT analysis and Porter’s Five Forces analysis
- In-depth 8-year analysis of the Global AI in Telecommunication Market
- Critical understanding of the key market segments
- Comprehensive analysis of the drivers, restraints, trends, and opportunities
- Detailed regional analysis and extensive company profiling
- Extensive assessment of current and emerging trends of the market
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AI in Telecommunication Market Segmentation:
-
Component Outlook (Revenue, USD Billion; 2019-2032)
- Solutions
- Software Tools
- Platforms
- Services
- Professional Services
- Managed Services
- Solutions
-
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
AI in Telecommunication Market Segmentation by Regions:
- 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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