The global AI and Big Data Analytics in Telecom market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/101 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for AI and Big Data Analytics in Telecom, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI and Big Data Analytics in Telecom.
Report Scope
The AI and Big Data Analytics in Telecom market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI and Big Data Analytics in Telecom market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI and Big Data Analytics in Telecom companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
AWS
Affirm
Air Europa
Airtel
Alibaba
Amazon
Amdocs
Apple
AT&T
Baidu
China Unicom
Cisco
Clarifai
Cloudera
Dell
Ericsson
Facebook
Fico
Google
Huawei
Iberia
IBM
Segment by Type
Cloud Based
On-Premise
Segment by Application
Private
Commercial
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI and Big Data Analytics in Telecom companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI and Big Data Analytics in Telecom 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 麻豆原创 by Application
1.3.1 Global AI and Big Data Analytics in Telecom 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Private
1.3.3 Commercial
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI and Big Data Analytics in Telecom 麻豆原创 Perspective (2019-2030)
2.2 AI and Big Data Analytics in Telecom Growth Trends by Region
2.2.1 Global AI and Big Data Analytics in Telecom 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI and Big Data Analytics in Telecom Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI and Big Data Analytics in Telecom Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI and Big Data Analytics in Telecom 麻豆原创 Dynamics
2.3.1 AI and Big Data Analytics in Telecom Industry Trends
2.3.2 AI and Big Data Analytics in Telecom 麻豆原创 Drivers
2.3.3 AI and Big Data Analytics in Telecom 麻豆原创 Challenges
2.3.4 AI and Big Data Analytics in Telecom 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI and Big Data Analytics in Telecom Players by Revenue
3.1.1 Global Top AI and Big Data Analytics in Telecom Players by Revenue (2019-2024)
3.1.2 Global AI and Big Data Analytics in Telecom Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI and Big Data Analytics in Telecom 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI and Big Data Analytics in Telecom Revenue
3.4 Global AI and Big Data Analytics in Telecom 麻豆原创 Concentration Ratio
3.4.1 Global AI and Big Data Analytics in Telecom 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI and Big Data Analytics in Telecom Revenue in 2023
3.5 AI and Big Data Analytics in Telecom Key Players Head office and Area Served
3.6 Key Players AI and Big Data Analytics in Telecom Product Solution and Service
3.7 Date of Enter into AI and Big Data Analytics in Telecom 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 AI and Big Data Analytics in Telecom Breakdown Data by Type
4.1 Global AI and Big Data Analytics in Telecom Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI and Big Data Analytics in Telecom Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI and Big Data Analytics in Telecom Breakdown Data by Application
5.1 Global AI and Big Data Analytics in Telecom Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI and Big Data Analytics in Telecom Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI and Big Data Analytics in Telecom 麻豆原创 Size (2019-2030)
6.2 North America AI and Big Data Analytics in Telecom 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2019-2024)
6.4 North America AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI and Big Data Analytics in Telecom 麻豆原创 Size (2019-2030)
7.2 Europe AI and Big Data Analytics in Telecom 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI and Big Data Analytics in Telecom 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI and Big Data Analytics in Telecom 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI and Big Data Analytics in Telecom 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI and Big Data Analytics in Telecom 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI and Big Data Analytics in Telecom 麻豆原创 Size (2019-2030)
9.2 Latin America AI and Big Data Analytics in Telecom 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI and Big Data Analytics in Telecom 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI and Big Data Analytics in Telecom 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI and Big Data Analytics in Telecom 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Detail
11.1.2 AWS Business Overview
11.1.3 AWS AI and Big Data Analytics in Telecom Introduction
11.1.4 AWS Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.1.5 AWS Recent Development
11.2 Affirm
11.2.1 Affirm Company Detail
11.2.2 Affirm Business Overview
11.2.3 Affirm AI and Big Data Analytics in Telecom Introduction
11.2.4 Affirm Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.2.5 Affirm Recent Development
11.3 Air Europa
11.3.1 Air Europa Company Detail
11.3.2 Air Europa Business Overview
11.3.3 Air Europa AI and Big Data Analytics in Telecom Introduction
11.3.4 Air Europa Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.3.5 Air Europa Recent Development
11.4 Airtel
11.4.1 Airtel Company Detail
11.4.2 Airtel Business Overview
11.4.3 Airtel AI and Big Data Analytics in Telecom Introduction
11.4.4 Airtel Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.4.5 Airtel Recent Development
11.5 Alibaba
11.5.1 Alibaba Company Detail
11.5.2 Alibaba Business Overview
11.5.3 Alibaba AI and Big Data Analytics in Telecom Introduction
11.5.4 Alibaba Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.5.5 Alibaba Recent Development
11.6 Amazon
11.6.1 Amazon Company Detail
11.6.2 Amazon Business Overview
11.6.3 Amazon AI and Big Data Analytics in Telecom Introduction
11.6.4 Amazon Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.6.5 Amazon Recent Development
11.7 Amdocs
11.7.1 Amdocs Company Detail
11.7.2 Amdocs Business Overview
11.7.3 Amdocs AI and Big Data Analytics in Telecom Introduction
11.7.4 Amdocs Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.7.5 Amdocs Recent Development
11.8 Apple
11.8.1 Apple Company Detail
11.8.2 Apple Business Overview
11.8.3 Apple AI and Big Data Analytics in Telecom Introduction
11.8.4 Apple Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.8.5 Apple Recent Development
11.9 AT&T
11.9.1 AT&T Company Detail
11.9.2 AT&T Business Overview
11.9.3 AT&T AI and Big Data Analytics in Telecom Introduction
11.9.4 AT&T Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.9.5 AT&T Recent Development
11.10 Baidu
11.10.1 Baidu Company Detail
11.10.2 Baidu Business Overview
11.10.3 Baidu AI and Big Data Analytics in Telecom Introduction
11.10.4 Baidu Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.10.5 Baidu Recent Development
11.11 China Unicom
11.11.1 China Unicom Company Detail
11.11.2 China Unicom Business Overview
11.11.3 China Unicom AI and Big Data Analytics in Telecom Introduction
11.11.4 China Unicom Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.11.5 China Unicom Recent Development
11.12 Cisco
11.12.1 Cisco Company Detail
11.12.2 Cisco Business Overview
11.12.3 Cisco AI and Big Data Analytics in Telecom Introduction
11.12.4 Cisco Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.12.5 Cisco Recent Development
11.13 Clarifai
11.13.1 Clarifai Company Detail
11.13.2 Clarifai Business Overview
11.13.3 Clarifai AI and Big Data Analytics in Telecom Introduction
11.13.4 Clarifai Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.13.5 Clarifai Recent Development
11.14 Cloudera
11.14.1 Cloudera Company Detail
11.14.2 Cloudera Business Overview
11.14.3 Cloudera AI and Big Data Analytics in Telecom Introduction
11.14.4 Cloudera Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.14.5 Cloudera Recent Development
11.15 Dell
11.15.1 Dell Company Detail
11.15.2 Dell Business Overview
11.15.3 Dell AI and Big Data Analytics in Telecom Introduction
11.15.4 Dell Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.15.5 Dell Recent Development
11.16 Ericsson
11.16.1 Ericsson Company Detail
11.16.2 Ericsson Business Overview
11.16.3 Ericsson AI and Big Data Analytics in Telecom Introduction
11.16.4 Ericsson Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.16.5 Ericsson Recent Development
11.17 Facebook
11.17.1 Facebook Company Detail
11.17.2 Facebook Business Overview
11.17.3 Facebook AI and Big Data Analytics in Telecom Introduction
11.17.4 Facebook Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.17.5 Facebook Recent Development
11.18 Fico
11.18.1 Fico Company Detail
11.18.2 Fico Business Overview
11.18.3 Fico AI and Big Data Analytics in Telecom Introduction
11.18.4 Fico Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.18.5 Fico Recent Development
11.19 Google
11.19.1 Google Company Detail
11.19.2 Google Business Overview
11.19.3 Google AI and Big Data Analytics in Telecom Introduction
11.19.4 Google Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.19.5 Google Recent Development
11.20 Huawei
11.20.1 Huawei Company Detail
11.20.2 Huawei Business Overview
11.20.3 Huawei AI and Big Data Analytics in Telecom Introduction
11.20.4 Huawei Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.20.5 Huawei Recent Development
11.21 Iberia
11.21.1 Iberia Company Detail
11.21.2 Iberia Business Overview
11.21.3 Iberia AI and Big Data Analytics in Telecom Introduction
11.21.4 Iberia Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.21.5 Iberia Recent Development
11.22 IBM
11.22.1 IBM Company Detail
11.22.2 IBM Business Overview
11.22.3 IBM AI and Big Data Analytics in Telecom Introduction
11.22.4 IBM Revenue in AI and Big Data Analytics in Telecom Business (2019-2024)
11.22.5 IBM Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
AWS
Affirm
Air Europa
Airtel
Alibaba
Amazon
Amdocs
Apple
AT&T
Baidu
China Unicom
Cisco
Clarifai
Cloudera
Dell
Ericsson
Facebook
Fico
Google
Huawei
Iberia
IBM
听
听
*If Applicable.
