Quince Market Insights
AI in Telecommunication Market Overview
According to Quince Market Insights (QMI), the global AI in Telecommunication market is expected to grow to USD bn at a CAGR between 2023 and 2032 (forecast period). The study contains a COVID-19 analysis of the AI in Telecommunications market and provides an extensive analysis of market segments, current trends, development trends, and market challenges to assess market opportunities.
AI service in the Telecommunication Market refers to various services that provide learning tools as part of cloud computing services, including data visualization, APIs, facial recognition, natural language processing language, predictive analytics, and deep learning. The main benefit of AI in Telecommunication is that customers can easily get started with AI in Telecommunication without downloading and installing any software at the end. AI in Telecommunication offers services to developers, including data modeling APIs, algorithms, data transformation, and predictive analytics.
AI in Telecommunication Market Growth opportunity:
Many of the next-generation telecommunications networks will soon be powered by embedded AI software that is essential for new growth opportunities. Additionally, the expansion of telecom networks to meet the demand for highly sophisticated, intelligent, and autonomous network-driven solutions using artificial intelligence is increasing the market demand.
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Years considered for this report:
Historical year – 2019-2020
Base year – 2021
Estimated Year -2022
Forecast period – 2023 to 2032
AI in the Telecommunication Market Competitive Landscape
Increasing use of AI technologies is expected in the growth of the Telecommunications market worldwide. The global AI in Telecommunication market is set to witness challenges including technical limitations in some regional markets, however, AI in Telecommunication market companies will support the growth rate. The AI in Telecommunication-market research report also offers company profiles of the major players operating in the AI in Telecommunication market worldwide. Additionally, the global AI in Telecommunication market report provides a detailed analysis of the market based on primary and secondary research data collected from AI in Telecommunication market key decision makers as well as stakeholders. The AI in Telecommunication-market research report covers all such factors that help AI in Telecommunication market companies to improve their plans and portfolios. Players Intel, Microsoft, Cisco Systems, Nuance Communications, Google, AT&T, H2O.ai, Infosys and Sentient Technologies
Key Findings and Industry Insights from the report:
capabilities of organizations using analytics and learning platforms to make decisions, Cognizant, a major AI participant in the Telecommunications industries.
To support digital business transformation by focusing on new business results AI in Telecommunication sharing a relationship with Google Cloud
With the brand new entrant in the market learning platform for AI in Telecommunication, These services range from hosted notebooks to code-free tools.
AI in Telecommunication Market Segmentation
The global AI in Telecommunications market can be classified on the basis of by application, by segment, by end-user, by deployment type, by organization size, and by region. Segmentation By Technology (Machine learning and deep learning, Natural Language Processing (NLP)), By Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, Virtual Assistance, Others), By Component (Solution and Services), By Deployment Mode (On-premises and Cloud)
AI in Telecommunication Market Regional Analysis
The geographical analysis of the global AI in Telecommunications market is analyzed for regions such as Europe, Asia Pacific, North America, and rest of the World.
The study shows that the North American region will dominate the market for AI in Telecommunication during the forecast period, followed by Europe due to the significant development in the field of AI in Telecommunication seen in countries such as the United States United States and Canada. The study also shows that both the US and Canada are the hubs of large and start-up vendors in the North American region. Asia Pacific countries such as China, Japan, South Korea, India, and others are investing heavily in R&D. The Asia Pacific region will show a positive increase in the demand for AI in Telecommunication during the forecast period.
Regions Covered:
North America (United States, Canada and Mexico)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)
South America (Brazil, Argentina)
Europe (Germany, France, United Kingdom, Russia and Italy)
Middle East and Africa (UAE, Egypt, Saudi Arabia, and South Africa)
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Industry Update News
Atrinet, a leading cloud and AI-based provider of open network automation software, announced its partnership with ServiceNow to transform the telecom industry with end-to-end network automation, joining the ServiceNow Partner Program as a Technology Partner. Atrinet’s cloud-native, AI-optimized, open network automation software discovers, monitors, and automates the networks and services of global service providers and enterprises.
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This release has been published on openPR.