Big Data Analytics in Telecom - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509241854

Publication Date:

September 27, 2024

Pages:

104

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Big Data Analytics in Telecom was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with 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 楼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 楼1.75 trillion, a year-on-year increase of 21.3%. In the same year, the fixed Internet broadband access business revenue was 楼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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Big Data Analytics in Telecom, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Big Data Analytics in Telecom by region & country, by Type, and by Application.
The Big Data Analytics in Telecom market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Big Data Analytics in Telecom manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Big Data Analytics in Telecom in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Big Data Analytics in Telecom in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Big Data Analytics in Telecom Product Introduction
1.2 Global Big Data Analytics in Telecom Market Size Forecast
1.3 Big Data Analytics in Telecom Market Trends & Drivers
1.3.1 Big Data Analytics in Telecom Industry Trends
1.3.2 Big Data Analytics in Telecom Market Drivers & Opportunity
1.3.3 Big Data Analytics in Telecom Market Challenges
1.3.4 Big Data Analytics in Telecom Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Big Data Analytics in Telecom Players Revenue Ranking (2023)
2.2 Global Big Data Analytics in Telecom Revenue by Company (2019-2024)
2.3 Key Companies Big Data Analytics in Telecom Manufacturing Base Distribution and Headquarters
2.4 Key Companies Big Data Analytics in Telecom Product Offered
2.5 Key Companies Time to Begin Mass Production of Big Data Analytics in Telecom
2.6 Big Data Analytics in Telecom Market Competitive Analysis
2.6.1 Big Data Analytics in Telecom Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Big Data Analytics in Telecom Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Big Data Analytics in Telecom as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-based
3.1.2 On-premise
3.2 Global Big Data Analytics in Telecom Sales Value by Type
3.2.1 Global Big Data Analytics in Telecom Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Big Data Analytics in Telecom Sales Value, by Type (2019-2030)
3.2.3 Global Big Data Analytics in Telecom Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Small and Medium-Sized Enterprises
4.1.2 Large Enterprises
4.2 Global Big Data Analytics in Telecom Sales Value by Application
4.2.1 Global Big Data Analytics in Telecom Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Big Data Analytics in Telecom Sales Value, by Application (2019-2030)
4.2.3 Global Big Data Analytics in Telecom Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Big Data Analytics in Telecom Sales Value by Region
5.1.1 Global Big Data Analytics in Telecom Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Big Data Analytics in Telecom Sales Value by Region (2019-2024)
5.1.3 Global Big Data Analytics in Telecom Sales Value by Region (2025-2030)
5.1.4 Global Big Data Analytics in Telecom Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Big Data Analytics in Telecom Sales Value, 2019-2030
5.2.2 North America Big Data Analytics in Telecom Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Big Data Analytics in Telecom Sales Value, 2019-2030
5.3.2 Europe Big Data Analytics in Telecom Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Big Data Analytics in Telecom Sales Value, 2019-2030
5.4.2 Asia Pacific Big Data Analytics in Telecom Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Big Data Analytics in Telecom Sales Value, 2019-2030
5.5.2 South America Big Data Analytics in Telecom Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Big Data Analytics in Telecom Sales Value, 2019-2030
5.6.2 Middle East & Africa Big Data Analytics in Telecom Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Big Data Analytics in Telecom Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Big Data Analytics in Telecom Sales Value
6.3 United States
6.3.1 United States Big Data Analytics in Telecom Sales Value, 2019-2030
6.3.2 United States Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Big Data Analytics in Telecom Sales Value, 2019-2030
6.4.2 Europe Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Big Data Analytics in Telecom Sales Value, 2019-2030
6.5.2 China Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.5.3 China Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Big Data Analytics in Telecom Sales Value, 2019-2030
6.6.2 Japan Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Big Data Analytics in Telecom Sales Value, 2019-2030
6.7.2 South Korea Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Big Data Analytics in Telecom Sales Value, 2019-2030
6.8.2 Southeast Asia Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Big Data Analytics in Telecom Sales Value, 2019-2030
6.9.2 India Big Data Analytics in Telecom Sales Value by Type (%), 2023 VS 2030
6.9.3 India Big Data Analytics in Telecom Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Microsoft Corporation
7.1.1 Microsoft Corporation Profile
7.1.2 Microsoft Corporation Main Business
7.1.3 Microsoft Corporation Big Data Analytics in Telecom Products, Services and Solutions
7.1.4 Microsoft Corporation Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Corporation Recent Developments
7.2 MongoDB
7.2.1 MongoDB Profile
7.2.2 MongoDB Main Business
7.2.3 MongoDB Big Data Analytics in Telecom Products, Services and Solutions
7.2.4 MongoDB Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.2.5 MongoDB Recent Developments
7.3 United Technologies Corporation
7.3.1 United Technologies Corporation Profile
7.3.2 United Technologies Corporation Main Business
7.3.3 United Technologies Corporation Big Data Analytics in Telecom Products, Services and Solutions
7.3.4 United Technologies Corporation Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.3.5 JDA Software, Inc. Recent Developments
7.4 JDA Software, Inc.
7.4.1 JDA Software, Inc. Profile
7.4.2 JDA Software, Inc. Main Business
7.4.3 JDA Software, Inc. Big Data Analytics in Telecom Products, Services and Solutions
7.4.4 JDA Software, Inc. Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.4.5 JDA Software, Inc. Recent Developments
7.5 Software AG
7.5.1 Software AG Profile
7.5.2 Software AG Main Business
7.5.3 Software AG Big Data Analytics in Telecom Products, Services and Solutions
7.5.4 Software AG Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.5.5 Software AG Recent Developments
7.6 Sensewaves
7.6.1 Sensewaves Profile
7.6.2 Sensewaves Main Business
7.6.3 Sensewaves Big Data Analytics in Telecom Products, Services and Solutions
7.6.4 Sensewaves Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.6.5 Sensewaves Recent Developments
7.7 Avant
7.7.1 Avant Profile
7.7.2 Avant Main Business
7.7.3 Avant Big Data Analytics in Telecom Products, Services and Solutions
7.7.4 Avant Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.7.5 Avant Recent Developments
7.8 SAP
7.8.1 SAP Profile
7.8.2 SAP Main Business
7.8.3 SAP Big Data Analytics in Telecom Products, Services and Solutions
7.8.4 SAP Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.8.5 SAP Recent Developments
7.9 IBM Corp
7.9.1 IBM Corp Profile
7.9.2 IBM Corp Main Business
7.9.3 IBM Corp Big Data Analytics in Telecom Products, Services and Solutions
7.9.4 IBM Corp Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.9.5 IBM Corp Recent Developments
7.10 Splunk
7.10.1 Splunk Profile
7.10.2 Splunk Main Business
7.10.3 Splunk Big Data Analytics in Telecom Products, Services and Solutions
7.10.4 Splunk Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.10.5 Splunk Recent Developments
7.11 Oracle Corp.
7.11.1 Oracle Corp. Profile
7.11.2 Oracle Corp. Main Business
7.11.3 Oracle Corp. Big Data Analytics in Telecom Products, Services and Solutions
7.11.4 Oracle Corp. Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.11.5 Oracle Corp. Recent Developments
7.12 Teradata Corp.
7.12.1 Teradata Corp. Profile
7.12.2 Teradata Corp. Main Business
7.12.3 Teradata Corp. Big Data Analytics in Telecom Products, Services and Solutions
7.12.4 Teradata Corp. Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.12.5 Teradata Corp. Recent Developments
7.13 Amazon Web Services
7.13.1 Amazon Web Services Profile
7.13.2 Amazon Web Services Main Business
7.13.3 Amazon Web Services Big Data Analytics in Telecom Products, Services and Solutions
7.13.4 Amazon Web Services Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.13.5 Amazon Web Services Recent Developments
7.14 Cloudera
7.14.1 Cloudera Profile
7.14.2 Cloudera Main Business
7.14.3 Cloudera Big Data Analytics in Telecom Products, Services and Solutions
7.14.4 Cloudera Big Data Analytics in Telecom Revenue (US$ Million) & (2019-2024)
7.14.5 Cloudera Recent Developments
8 Industry Chain Analysis
8.1 Big Data Analytics in Telecom Industrial Chain
8.2 Big Data Analytics in Telecom Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Big Data Analytics in Telecom Sales Model
8.5.2 Sales Channel
8.5.3 Big Data Analytics in Telecom Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

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

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