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Global Big Data in Telecom Market Research Report 2025
Synopsis
The telecom companies are collecting a large amount of data because of which they could easily generate a 360-degrees view of their customers by using their own data, namely — call data, geo data, and internet usage data and public data from social networks.
The global Big Data 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.
The Global Mobile Economy Development Report 2023 released by GSMA Intelligence pointed out that by the end of 2022, the number of global mobile users would exceed 5.4 billion. The mobile ecosystem supports 16 million jobs directly and 12 million jobs indirectly.
According to our Communications Research Centre, in 2022, the global communication equipment was valued at US$ 100 billion. The U.S. and China are powerhouses in the manufacture of communications equipment. According to data from the Ministry of Industry and Information Technology of China, the cumulative revenue of telecommunications services in 2022 was ¥1.58 trillion, an increase of 8% over the previous year. The total amount of telecommunications business calculated at the price of the previous year reached ¥1.75 trillion, a year-on-year increase of 21.3%. In the same year, the fixed Internet broadband access business revenue was ¥240.2 billion, an increase of 7.1% over the previous year, and its proportion in the telecommunications business revenue decreased from 15.3% in the previous year to 15.2%, driving the telecommunications business revenue to increase by 1.1 percentage points.
This report aims to provide a comprehensive presentation of the global market for Big Data 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 Big Data in Telecom.
Report Scope
The Big Data 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 Big Data 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 Big Data 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.
Market Segmentation
By Company
Accenture
Amazon
Cisco Systems
Dell EMC
IBM
Intel
Microsoft
Oracle
Rackspace Technology
SAP
China Unicom
Hitachi
SKT
Segment by Type
Hadoop
NoSQL
MPP Databases
Others
Segment by Application
IoT
Retail
Media
Financial Services
Pharmaceutical
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
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 Big Data in Telecom companies’ 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.
The telecom companies are collecting a large amount of data because of which they could easily generate a 360-degrees view of their customers by using their own data, namely — call data, geo data, and internet usage data and public data from social networks.
The global Big Data 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.
The Global Mobile Economy Development Report 2023 released by GSMA Intelligence pointed out that by the end of 2022, the number of global mobile users would exceed 5.4 billion. The mobile ecosystem supports 16 million jobs directly and 12 million jobs indirectly.
According to our Communications Research Centre, in 2022, the global communication equipment was valued at US$ 100 billion. The U.S. and China are powerhouses in the manufacture of communications equipment. According to data from the Ministry of Industry and Information Technology of China, the cumulative revenue of telecommunications services in 2022 was ¥1.58 trillion, an increase of 8% over the previous year. The total amount of telecommunications business calculated at the price of the previous year reached ¥1.75 trillion, a year-on-year increase of 21.3%. In the same year, the fixed Internet broadband access business revenue was ¥240.2 billion, an increase of 7.1% over the previous year, and its proportion in the telecommunications business revenue decreased from 15.3% in the previous year to 15.2%, driving the telecommunications business revenue to increase by 1.1 percentage points.
This report aims to provide a comprehensive presentation of the global market for Big Data 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 Big Data in Telecom.
Report Scope
The Big Data 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 Big Data 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 Big Data 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.
Market Segmentation
By Company
Accenture
Amazon
Cisco Systems
Dell EMC
IBM
Intel
Microsoft
Oracle
Rackspace Technology
SAP
China Unicom
Hitachi
SKT
Segment by Type
Hadoop
NoSQL
MPP Databases
Others
Segment by Application
IoT
Retail
Media
Financial Services
Pharmaceutical
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
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 Big Data in Telecom companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data in Telecom Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hadoop
1.2.3 NoSQL
1.2.4 MPP Databases
1.2.5 Others
1.3 Market by Application
1.3.1 Global Big Data in Telecom Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 IoT
1.3.3 Retail
1.3.4 Media
1.3.5 Financial Services
1.3.6 Pharmaceutical
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data in Telecom Market Perspective (2019-2030)
2.2 Big Data in Telecom Growth Trends by Region
2.2.1 Global Big Data in Telecom Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data in Telecom Historic Market Size by Region (2019-2024)
2.2.3 Big Data in Telecom Forecasted Market Size by Region (2025-2030)
2.3 Big Data in Telecom Market Dynamics
2.3.1 Big Data in Telecom Industry Trends
2.3.2 Big Data in Telecom Market Drivers
2.3.3 Big Data in Telecom Market Challenges
2.3.4 Big Data in Telecom Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data in Telecom Players by Revenue
3.1.1 Global Top Big Data in Telecom Players by Revenue (2019-2024)
3.1.2 Global Big Data in Telecom Revenue Market Share by Players (2019-2024)
3.2 Global Big Data in Telecom Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data in Telecom Revenue
3.4 Global Big Data in Telecom Market Concentration Ratio
3.4.1 Global Big Data in Telecom Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data in Telecom Revenue in 2023
3.5 Big Data in Telecom Key Players Head office and Area Served
3.6 Key Players Big Data in Telecom Product Solution and Service
3.7 Date of Enter into Big Data in Telecom Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data in Telecom Breakdown Data by Type
4.1 Global Big Data in Telecom Historic Market Size by Type (2019-2024)
4.2 Global Big Data in Telecom Forecasted Market Size by Type (2025-2030)
5 Big Data in Telecom Breakdown Data by Application
5.1 Global Big Data in Telecom Historic Market Size by Application (2019-2024)
5.2 Global Big Data in Telecom Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data in Telecom Market Size (2019-2030)
6.2 North America Big Data in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data in Telecom Market Size by Country (2019-2024)
6.4 North America Big Data in Telecom Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data in Telecom Market Size (2019-2030)
7.2 Europe Big Data in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data in Telecom Market Size by Country (2019-2024)
7.4 Europe Big Data in Telecom Market 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 Big Data in Telecom Market Size (2019-2030)
8.2 Asia-Pacific Big Data in Telecom Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data in Telecom Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data in Telecom Market 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 Big Data in Telecom Market Size (2019-2030)
9.2 Latin America Big Data in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data in Telecom Market Size by Country (2019-2024)
9.4 Latin America Big Data in Telecom Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data in Telecom Market Size (2019-2030)
10.2 Middle East & Africa Big Data in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data in Telecom Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data in Telecom Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Accenture
11.1.1 Accenture Company Detail
11.1.2 Accenture Business Overview
11.1.3 Accenture Big Data in Telecom Introduction
11.1.4 Accenture Revenue in Big Data in Telecom Business (2019-2024)
11.1.5 Accenture Recent Development
11.2 Amazon
11.2.1 Amazon Company Detail
11.2.2 Amazon Business Overview
11.2.3 Amazon Big Data in Telecom Introduction
11.2.4 Amazon Revenue in Big Data in Telecom Business (2019-2024)
11.2.5 Amazon Recent Development
11.3 Cisco Systems
11.3.1 Cisco Systems Company Detail
11.3.2 Cisco Systems Business Overview
11.3.3 Cisco Systems Big Data in Telecom Introduction
11.3.4 Cisco Systems Revenue in Big Data in Telecom Business (2019-2024)
11.3.5 Cisco Systems Recent Development
11.4 Dell EMC
11.4.1 Dell EMC Company Detail
11.4.2 Dell EMC Business Overview
11.4.3 Dell EMC Big Data in Telecom Introduction
11.4.4 Dell EMC Revenue in Big Data in Telecom Business (2019-2024)
11.4.5 Dell EMC Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Big Data in Telecom Introduction
11.5.4 IBM Revenue in Big Data in Telecom Business (2019-2024)
11.5.5 IBM Recent Development
11.6 Intel
11.6.1 Intel Company Detail
11.6.2 Intel Business Overview
11.6.3 Intel Big Data in Telecom Introduction
11.6.4 Intel Revenue in Big Data in Telecom Business (2019-2024)
11.6.5 Intel Recent Development
11.7 Microsoft
11.7.1 Microsoft Company Detail
11.7.2 Microsoft Business Overview
11.7.3 Microsoft Big Data in Telecom Introduction
11.7.4 Microsoft Revenue in Big Data in Telecom Business (2019-2024)
11.7.5 Microsoft Recent Development
11.8 Oracle
11.8.1 Oracle Company Detail
11.8.2 Oracle Business Overview
11.8.3 Oracle Big Data in Telecom Introduction
11.8.4 Oracle Revenue in Big Data in Telecom Business (2019-2024)
11.8.5 Oracle Recent Development
11.9 Rackspace Technology
11.9.1 Rackspace Technology Company Detail
11.9.2 Rackspace Technology Business Overview
11.9.3 Rackspace Technology Big Data in Telecom Introduction
11.9.4 Rackspace Technology Revenue in Big Data in Telecom Business (2019-2024)
11.9.5 Rackspace Technology Recent Development
11.10 SAP
11.10.1 SAP Company Detail
11.10.2 SAP Business Overview
11.10.3 SAP Big Data in Telecom Introduction
11.10.4 SAP Revenue in Big Data in Telecom Business (2019-2024)
11.10.5 SAP 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 Big Data in Telecom Introduction
11.11.4 China Unicom Revenue in Big Data in Telecom Business (2019-2024)
11.11.5 China Unicom Recent Development
11.12 Hitachi
11.12.1 Hitachi Company Detail
11.12.2 Hitachi Business Overview
11.12.3 Hitachi Big Data in Telecom Introduction
11.12.4 Hitachi Revenue in Big Data in Telecom Business (2019-2024)
11.12.5 Hitachi Recent Development
11.13 SKT
11.13.1 SKT Company Detail
11.13.2 SKT Business Overview
11.13.3 SKT Big Data in Telecom Introduction
11.13.4 SKT Revenue in Big Data in Telecom Business (2019-2024)
11.13.5 SKT 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
Published By : QY Research
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