Global AI In Telecommunication Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global AI In Telecommunication market size was valued at US$ 3499 million in 2024 and is forecast to a readjusted size of USD 28870 million by 2031 with a CAGR of 34.3% during review period.
This report studies the AI in Telecommunication market, There are a number of different AI technologies that may be useful in telecoms. These include: Self-optimising networks (SON), where the network’s goals and limits are set by designers, and the network’s control software works within those boundaries to make the network as efficient as possible; Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement; Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.
The role of artificial intelligence in the telecommunications industry is growing, especially with the emergence of generative AI. The industry is embracing AI to improve customer experiences, automate processes, increase productivity, and refine network operations. In addition, compared to 2024, there’s better clarity on the role of AI in the industry, the number of AI use cases is increasing, and the return on investment (ROI) from AI is better understood. Finally, while investment into AI is growing, the industry is still in the early phase of the AI investment cycle. Top Key Insights on AI in Telecommunications Opportunities and Challenges: Expectations of success from AI continue to trend upwards; The telecom industry has embraced the generative AI wave; Enhancing customer experiences is the biggest opportunity; AI is improving both revenues and cost savings; Skill shortage is a major challenge to adopting and implementing AI; AI investment is growing but remains low; Customer experiences are attracting the highest AI investment; Scaling from pilot to implementation is the top driver for AI investments.
This report is a detailed and comprehensive analysis for global AI In Telecommunication market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI In Telecommunication market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI In Telecommunication
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI In Telecommunication market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, Intel, AT&T, Cisco Systems, Nuance Communications, H2O.ai, Salesforce, Nvidia, Infosys Limited, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI In Telecommunication market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Solutions
Services
Market segment by Application
Network Optimization
Network Security
Customer analytics
Others
Market segment by players, this report covers
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia
Infosys Limited
Alphabet Inc
Nokia Corporation
Ericsson
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI In Telecommunication product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI In Telecommunication, with revenue, gross margin, and global market share of AI In Telecommunication from 2020 to 2025.
Chapter 3, the AI In Telecommunication competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI In Telecommunication market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI In Telecommunication.
Chapter 13, to describe AI In Telecommunication research findings and conclusion.
This report studies the AI in Telecommunication market, There are a number of different AI technologies that may be useful in telecoms. These include: Self-optimising networks (SON), where the network’s goals and limits are set by designers, and the network’s control software works within those boundaries to make the network as efficient as possible; Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement; Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.
The role of artificial intelligence in the telecommunications industry is growing, especially with the emergence of generative AI. The industry is embracing AI to improve customer experiences, automate processes, increase productivity, and refine network operations. In addition, compared to 2024, there’s better clarity on the role of AI in the industry, the number of AI use cases is increasing, and the return on investment (ROI) from AI is better understood. Finally, while investment into AI is growing, the industry is still in the early phase of the AI investment cycle. Top Key Insights on AI in Telecommunications Opportunities and Challenges: Expectations of success from AI continue to trend upwards; The telecom industry has embraced the generative AI wave; Enhancing customer experiences is the biggest opportunity; AI is improving both revenues and cost savings; Skill shortage is a major challenge to adopting and implementing AI; AI investment is growing but remains low; Customer experiences are attracting the highest AI investment; Scaling from pilot to implementation is the top driver for AI investments.
This report is a detailed and comprehensive analysis for global AI In Telecommunication market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI In Telecommunication market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI In Telecommunication market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI In Telecommunication
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI In Telecommunication market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, Intel, AT&T, Cisco Systems, Nuance Communications, H2O.ai, Salesforce, Nvidia, Infosys Limited, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI In Telecommunication market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Solutions
Services
Market segment by Application
Network Optimization
Network Security
Customer analytics
Others
Market segment by players, this report covers
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia
Infosys Limited
Alphabet Inc
Nokia Corporation
Ericsson
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI In Telecommunication product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI In Telecommunication, with revenue, gross margin, and global market share of AI In Telecommunication from 2020 to 2025.
Chapter 3, the AI In Telecommunication competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI In Telecommunication market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI In Telecommunication.
Chapter 13, to describe AI In Telecommunication research findings and conclusion.
Table of Contents
120 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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