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Global Big Data Analytics in Telecom Market Research Report 2024
Synopsis
The global 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.
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 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 Big Data Analytics in Telecom.
Report Scope
The 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 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 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.
Market Segmentation
By Company
Microsoft Corporation
MongoDB
United Technologies Corporation
JDA Software, Inc.
Software AG
Sensewaves
Avant
SAP
IBM Corp
Splunk
Oracle Corp.
Teradata Corp.
Amazon Web Services
Cloudera
Segment by Type
Cloud-based
On-premise
Segment by Application
Small and Medium-Sized Enterprises
Large Enterprises
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 Analytics 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 global 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.
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 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 Big Data Analytics in Telecom.
Report Scope
The 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 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 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.
Market Segmentation
By Company
Microsoft Corporation
MongoDB
United Technologies Corporation
JDA Software, Inc.
Software AG
Sensewaves
Avant
SAP
IBM Corp
Splunk
Oracle Corp.
Teradata Corp.
Amazon Web Services
Cloudera
Segment by Type
Cloud-based
On-premise
Segment by Application
Small and Medium-Sized Enterprises
Large Enterprises
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 Analytics 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 Analytics in Telecom Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global Big Data Analytics in Telecom Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Small and Medium-Sized Enterprises
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data Analytics in Telecom Market Perspective (2019-2030)
2.2 Big Data Analytics in Telecom Growth Trends by Region
2.2.1 Global Big Data Analytics in Telecom Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data Analytics in Telecom Historic Market Size by Region (2019-2024)
2.2.3 Big Data Analytics in Telecom Forecasted Market Size by Region (2025-2030)
2.3 Big Data Analytics in Telecom Market Dynamics
2.3.1 Big Data Analytics in Telecom Industry Trends
2.3.2 Big Data Analytics in Telecom Market Drivers
2.3.3 Big Data Analytics in Telecom Market Challenges
2.3.4 Big Data Analytics in Telecom Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data Analytics in Telecom Players by Revenue
3.1.1 Global Top Big Data Analytics in Telecom Players by Revenue (2019-2024)
3.1.2 Global Big Data Analytics in Telecom Revenue Market Share by Players (2019-2024)
3.2 Global Big Data Analytics in Telecom Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data Analytics in Telecom Revenue
3.4 Global Big Data Analytics in Telecom Market Concentration Ratio
3.4.1 Global Big Data Analytics in Telecom Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Telecom Revenue in 2023
3.5 Big Data Analytics in Telecom Key Players Head office and Area Served
3.6 Key Players Big Data Analytics in Telecom Product Solution and Service
3.7 Date of Enter into Big Data Analytics in Telecom Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data Analytics in Telecom Breakdown Data by Type
4.1 Global Big Data Analytics in Telecom Historic Market Size by Type (2019-2024)
4.2 Global Big Data Analytics in Telecom Forecasted Market Size by Type (2025-2030)
5 Big Data Analytics in Telecom Breakdown Data by Application
5.1 Global Big Data Analytics in Telecom Historic Market Size by Application (2019-2024)
5.2 Global Big Data Analytics in Telecom Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data Analytics in Telecom Market Size (2019-2030)
6.2 North America Big Data Analytics in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data Analytics in Telecom Market Size by Country (2019-2024)
6.4 North America Big Data Analytics in Telecom Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data Analytics in Telecom Market Size (2019-2030)
7.2 Europe Big Data Analytics in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data Analytics in Telecom Market Size by Country (2019-2024)
7.4 Europe Big Data Analytics 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 Analytics in Telecom Market Size (2019-2030)
8.2 Asia-Pacific Big Data Analytics in Telecom Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data Analytics in Telecom Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data Analytics 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 Analytics in Telecom Market Size (2019-2030)
9.2 Latin America Big Data Analytics in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data Analytics in Telecom Market Size by Country (2019-2024)
9.4 Latin America Big Data Analytics 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 Analytics in Telecom Market Size (2019-2030)
10.2 Middle East & Africa Big Data Analytics in Telecom Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data Analytics in Telecom Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data Analytics in Telecom Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft Corporation
11.1.1 Microsoft Corporation Company Detail
11.1.2 Microsoft Corporation Business Overview
11.1.3 Microsoft Corporation Big Data Analytics in Telecom Introduction
11.1.4 Microsoft Corporation Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.1.5 Microsoft Corporation Recent Development
11.2 MongoDB
11.2.1 MongoDB Company Detail
11.2.2 MongoDB Business Overview
11.2.3 MongoDB Big Data Analytics in Telecom Introduction
11.2.4 MongoDB Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.2.5 MongoDB Recent Development
11.3 United Technologies Corporation
11.3.1 United Technologies Corporation Company Detail
11.3.2 United Technologies Corporation Business Overview
11.3.3 United Technologies Corporation Big Data Analytics in Telecom Introduction
11.3.4 United Technologies Corporation Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.3.5 United Technologies Corporation Recent Development
11.4 JDA Software, Inc.
11.4.1 JDA Software, Inc. Company Detail
11.4.2 JDA Software, Inc. Business Overview
11.4.3 JDA Software, Inc. Big Data Analytics in Telecom Introduction
11.4.4 JDA Software, Inc. Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.4.5 JDA Software, Inc. Recent Development
11.5 Software AG
11.5.1 Software AG Company Detail
11.5.2 Software AG Business Overview
11.5.3 Software AG Big Data Analytics in Telecom Introduction
11.5.4 Software AG Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.5.5 Software AG Recent Development
11.6 Sensewaves
11.6.1 Sensewaves Company Detail
11.6.2 Sensewaves Business Overview
11.6.3 Sensewaves Big Data Analytics in Telecom Introduction
11.6.4 Sensewaves Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.6.5 Sensewaves Recent Development
11.7 Avant
11.7.1 Avant Company Detail
11.7.2 Avant Business Overview
11.7.3 Avant Big Data Analytics in Telecom Introduction
11.7.4 Avant Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.7.5 Avant Recent Development
11.8 SAP
11.8.1 SAP Company Detail
11.8.2 SAP Business Overview
11.8.3 SAP Big Data Analytics in Telecom Introduction
11.8.4 SAP Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.8.5 SAP Recent Development
11.9 IBM Corp
11.9.1 IBM Corp Company Detail
11.9.2 IBM Corp Business Overview
11.9.3 IBM Corp Big Data Analytics in Telecom Introduction
11.9.4 IBM Corp Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.9.5 IBM Corp Recent Development
11.10 Splunk
11.10.1 Splunk Company Detail
11.10.2 Splunk Business Overview
11.10.3 Splunk Big Data Analytics in Telecom Introduction
11.10.4 Splunk Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.10.5 Splunk Recent Development
11.11 Oracle Corp.
11.11.1 Oracle Corp. Company Detail
11.11.2 Oracle Corp. Business Overview
11.11.3 Oracle Corp. Big Data Analytics in Telecom Introduction
11.11.4 Oracle Corp. Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.11.5 Oracle Corp. Recent Development
11.12 Teradata Corp.
11.12.1 Teradata Corp. Company Detail
11.12.2 Teradata Corp. Business Overview
11.12.3 Teradata Corp. Big Data Analytics in Telecom Introduction
11.12.4 Teradata Corp. Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.12.5 Teradata Corp. Recent Development
11.13 Amazon Web Services
11.13.1 Amazon Web Services Company Detail
11.13.2 Amazon Web Services Business Overview
11.13.3 Amazon Web Services Big Data Analytics in Telecom Introduction
11.13.4 Amazon Web Services Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.13.5 Amazon Web Services Recent Development
11.14 Cloudera
11.14.1 Cloudera Company Detail
11.14.2 Cloudera Business Overview
11.14.3 Cloudera Big Data Analytics in Telecom Introduction
11.14.4 Cloudera Revenue in Big Data Analytics in Telecom Business (2019-2024)
11.14.5 Cloudera 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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