Global Artificial Intelligence Market Research Report 2024
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global Artificial Intelligence Market Research Report 2024
There are a number of different Artificial Intelligence 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.
According to MRA Research’s new survey, global Artificial Intelligence market is projected to reach US$ 13510 million in 2033, increasing from US$ 1106 million in 2023, with the CAGR of 41.0% during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Artificial Intelligence market research.
Global Artificial Intelligence key players include IBM, Intel, Nuance Communications, IFLYTEK, Microsoft, etc. Global top five manufacturers hold a share over 55%.
North America is the largest market, with a share over 40%, followed by Europe and China, both have a share over 35 percent.
In terms of product, Customer Analytics is the largest segment, with a share about 90%. And in terms of application, the largest application is Customer Analytics, followed by Network Security.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
IBM
Intel
Nuance Communications
IFLYTEK
Microsoft
Salesforce
ZTE Corporation
Infosys Limited
H2O.ai
Segment by Type
Customer Analytics
Network Security
Network Optimization
Others
Network Optimization
Network Security
Customer Analytics
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Artificial Intelligence report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source
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.
According to MRA Research’s new survey, global Artificial Intelligence market is projected to reach US$ 13510 million in 2033, increasing from US$ 1106 million in 2023, with the CAGR of 41.0% during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Artificial Intelligence market research.
Global Artificial Intelligence key players include IBM, Intel, Nuance Communications, IFLYTEK, Microsoft, etc. Global top five manufacturers hold a share over 55%.
North America is the largest market, with a share over 40%, followed by Europe and China, both have a share over 35 percent.
In terms of product, Customer Analytics is the largest segment, with a share about 90%. And in terms of application, the largest application is Customer Analytics, followed by Network Security.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Artificial Intelligence market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
IBM
Intel
Nuance Communications
IFLYTEK
Microsoft
Salesforce
ZTE Corporation
Infosys Limited
H2O.ai
Segment by Type
Customer Analytics
Network Security
Network Optimization
Others
Segment by Application
Network Optimization
Network Security
Customer Analytics
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Artificial Intelligence report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices