The AI In Telecommunication Global Market Report 2023, provides comprehensive information on the ai in telecommunication market across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.
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https://www.thebusinessresearchcompany.com/report/ai-in-telecommunication-global-market-report
The global AI in telecommunication market size is expected to grow from $1.27 billion in 2022 to $1.78 billion in 2023 at a compound annual growth rate (CAGR) of 39.6%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global AI in telecommunication market size is expected to reach $9.55 billion in 2027 at a CAGR of 40.1%.
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Technological advancements are a key trend gaining popularity in the AI in telecommunications market. Companies operating in the AI in telecommunications market are adopting new technologies to sustain their position in the market. For instance, in October 2021, Ericsson, a Sweden-based, multinational networking and telecommunications company, launched the Network Data Analytics Function (NWDAF) solution, a cloud-native offering that enables service providers to analyze and optimize network performance, as well as detect and resolve issues faster. By leveraging machine learning and AI, NWDAF can provide insights into network data in real time, allowing service providers to make informed decisions to improve service quality and customer experience. This solution is a critical component in the 5G network infrastructure, as it enables service providers to monitor and optimize the network in real time, ensuring a seamless user experience.
The ai in telecommunication market is segmented:
1) By Component: Solution, Service
2) By Deployment Model: On-Premise, Cloud
3) By Technology: Machine Learning, Natural Language Processing (NLP), Data Analytics, Other Technologies
4) By Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications
North America was the largest region in the ai in telecommunication market in 2022.
The table of contents in TBRC’s ai in telecommunication market report includes:
- Executive Summary
- Market Characteristics
- Market Trends And Strategies
- Impact Of COVID-19
- Market Size And Growth
- Segmentation
- Regional And Country Analysis
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- Competitive Landscape And Company Profiles
- Key Mergers And Acquisitions
- Future Outlook and Potential Analysis
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