Global Big Data Analytics in Telecom Market Growth (Status and Outlook) 2024-2030

Publication ID:

LPI09240834

Publication Date:

September 19, 2024

Pages:

118

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Big Data Analytics in Telecom market size was valued at US$ million in 2023. With growing demand in downstream market, the Big Data Analytics in Telecom is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Big Data Analytics in Telecom market. Big Data Analytics in Telecom are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Big Data Analytics in Telecom. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Big Data Analytics in Telecom market.
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.
Key Features:
The report on Big Data Analytics in Telecom market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Big Data Analytics in Telecom market. It may include historical data, market segmentation by Type (e.g., Cloud-based, On-premise), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Big Data Analytics in Telecom market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Big Data Analytics in Telecom market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Big Data Analytics in Telecom industry. This include advancements in Big Data Analytics in Telecom technology, Big Data Analytics in Telecom new entrants, Big Data Analytics in Telecom new investment, and other innovations that are shaping the future of Big Data Analytics in Telecom.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Big Data Analytics in Telecom market. It includes factors influencing customer ' purchasing decisions, preferences for Big Data Analytics in Telecom product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Big Data Analytics in Telecom market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Big Data Analytics in Telecom market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Big Data Analytics in Telecom market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Big Data Analytics in Telecom industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Big Data Analytics in Telecom market.
Market Segmentation:
Big Data Analytics in Telecom market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Cloud-based
On-premise
Segmentation by application
Small and Medium-Sized Enterprises
Large Enterprises
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

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

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Big Data Analytics in Telecom Market Size 2019-2030
2.1.2 Big Data Analytics in Telecom Market Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Big Data Analytics in Telecom Segment by Type
2.2.1 Cloud-based
2.2.2 On-premise
2.3 Big Data Analytics in Telecom Market Size by Type
2.3.1 Big Data Analytics in Telecom Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Big Data Analytics in Telecom Market Size Market Share by Type (2019-2024)
2.4 Big Data Analytics in Telecom Segment by Application
2.4.1 Small and Medium-Sized Enterprises
2.4.2 Large Enterprises
2.5 Big Data Analytics in Telecom Market Size by Application
2.5.1 Big Data Analytics in Telecom Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Big Data Analytics in Telecom Market Size Market Share by Application (2019-2024)
3 Big Data Analytics in Telecom Market Size by Player
3.1 Big Data Analytics in Telecom Market Size Market Share by Players
3.1.1 Global Big Data Analytics in Telecom Revenue by Players (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 Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Big Data Analytics in Telecom by Regions
4.1 Big Data Analytics in Telecom Market Size by Regions (2019-2024)
4.2 Americas Big Data Analytics in Telecom Market Size Growth (2019-2024)
4.3 APAC Big Data Analytics in Telecom Market Size Growth (2019-2024)
4.4 Europe Big Data Analytics in Telecom Market Size Growth (2019-2024)
4.5 Middle East & Africa Big Data Analytics in Telecom Market Size Growth (2019-2024)
5 Americas
5.1 Americas Big Data Analytics in Telecom Market Size by Country (2019-2024)
5.2 Americas Big Data Analytics in Telecom Market Size by Type (2019-2024)
5.3 Americas Big Data Analytics in Telecom Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Big Data Analytics in Telecom Market Size by Region (2019-2024)
6.2 APAC Big Data Analytics in Telecom Market Size by Type (2019-2024)
6.3 APAC Big Data Analytics in Telecom Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Big Data Analytics in Telecom by Country (2019-2024)
7.2 Europe Big Data Analytics in Telecom Market Size by Type (2019-2024)
7.3 Europe Big Data Analytics in Telecom Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Big Data Analytics in Telecom by Region (2019-2024)
8.2 Middle East & Africa Big Data Analytics in Telecom Market Size by Type (2019-2024)
8.3 Middle East & Africa Big Data Analytics in Telecom Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Big Data Analytics in Telecom Market Forecast
10.1 Global Big Data Analytics in Telecom Forecast by Regions (2025-2030)
10.1.1 Global Big Data Analytics in Telecom Forecast by Regions (2025-2030)
10.1.2 Americas Big Data Analytics in Telecom Forecast
10.1.3 APAC Big Data Analytics in Telecom Forecast
10.1.4 Europe Big Data Analytics in Telecom Forecast
10.1.5 Middle East & Africa Big Data Analytics in Telecom Forecast
10.2 Americas Big Data Analytics in Telecom Forecast by Country (2025-2030)
10.2.1 United States Big Data Analytics in Telecom Market Forecast
10.2.2 Canada Big Data Analytics in Telecom Market Forecast
10.2.3 Mexico Big Data Analytics in Telecom Market Forecast
10.2.4 Brazil Big Data Analytics in Telecom Market Forecast
10.3 APAC Big Data Analytics in Telecom Forecast by Region (2025-2030)
10.3.1 China Big Data Analytics in Telecom Market Forecast
10.3.2 Japan Big Data Analytics in Telecom Market Forecast
10.3.3 Korea Big Data Analytics in Telecom Market Forecast
10.3.4 Southeast Asia Big Data Analytics in Telecom Market Forecast
10.3.5 India Big Data Analytics in Telecom Market Forecast
10.3.6 Australia Big Data Analytics in Telecom Market Forecast
10.4 Europe Big Data Analytics in Telecom Forecast by Country (2025-2030)
10.4.1 Germany Big Data Analytics in Telecom Market Forecast
10.4.2 France Big Data Analytics in Telecom Market Forecast
10.4.3 UK Big Data Analytics in Telecom Market Forecast
10.4.4 Italy Big Data Analytics in Telecom Market Forecast
10.4.5 Russia Big Data Analytics in Telecom Market Forecast
10.5 Middle East & Africa Big Data Analytics in Telecom Forecast by Region (2025-2030)
10.5.1 Egypt Big Data Analytics in Telecom Market Forecast
10.5.2 South Africa Big Data Analytics in Telecom Market Forecast
10.5.3 Israel Big Data Analytics in Telecom Market Forecast
10.5.4 Turkey Big Data Analytics in Telecom Market Forecast
10.5.5 GCC Countries Big Data Analytics in Telecom Market Forecast
10.6 Global Big Data Analytics in Telecom Forecast by Type (2025-2030)
10.7 Global Big Data Analytics in Telecom Forecast by Application (2025-2030)

11 Key Players Analysis
11.1 Microsoft Corporation
11.1.1 Microsoft Corporation Company Information
11.1.2 Microsoft Corporation Big Data Analytics in Telecom Product Offered
11.1.3 Microsoft Corporation Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Microsoft Corporation Main Business Overview
11.1.5 Microsoft Corporation Latest Developments
11.2 MongoDB
11.2.1 MongoDB Company Information
11.2.2 MongoDB Big Data Analytics in Telecom Product Offered
11.2.3 MongoDB Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 MongoDB Main Business Overview
11.2.5 MongoDB Latest Developments
11.3 United Technologies Corporation
11.3.1 United Technologies Corporation Company Information
11.3.2 United Technologies Corporation Big Data Analytics in Telecom Product Offered
11.3.3 United Technologies Corporation Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 United Technologies Corporation Main Business Overview
11.3.5 United Technologies Corporation Latest Developments
11.4 JDA Software, Inc.
11.4.1 JDA Software, Inc. Company Information
11.4.2 JDA Software, Inc. Big Data Analytics in Telecom Product Offered
11.4.3 JDA Software, Inc. Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 JDA Software, Inc. Main Business Overview
11.4.5 JDA Software, Inc. Latest Developments
11.5 Software AG
11.5.1 Software AG Company Information
11.5.2 Software AG Big Data Analytics in Telecom Product Offered
11.5.3 Software AG Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Software AG Main Business Overview
11.5.5 Software AG Latest Developments
11.6 Sensewaves
11.6.1 Sensewaves Company Information
11.6.2 Sensewaves Big Data Analytics in Telecom Product Offered
11.6.3 Sensewaves Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Sensewaves Main Business Overview
11.6.5 Sensewaves Latest Developments
11.7 Avant
11.7.1 Avant Company Information
11.7.2 Avant Big Data Analytics in Telecom Product Offered
11.7.3 Avant Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 Avant Main Business Overview
11.7.5 Avant Latest Developments
11.8 SAP
11.8.1 SAP Company Information
11.8.2 SAP Big Data Analytics in Telecom Product Offered
11.8.3 SAP Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 SAP Main Business Overview
11.8.5 SAP Latest Developments
11.9 IBM Corp
11.9.1 IBM Corp Company Information
11.9.2 IBM Corp Big Data Analytics in Telecom Product Offered
11.9.3 IBM Corp Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 IBM Corp Main Business Overview
11.9.5 IBM Corp Latest Developments
11.10 Splunk
11.10.1 Splunk Company Information
11.10.2 Splunk Big Data Analytics in Telecom Product Offered
11.10.3 Splunk Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 Splunk Main Business Overview
11.10.5 Splunk Latest Developments
11.11 Oracle Corp.
11.11.1 Oracle Corp. Company Information
11.11.2 Oracle Corp. Big Data Analytics in Telecom Product Offered
11.11.3 Oracle Corp. Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Oracle Corp. Main Business Overview
11.11.5 Oracle Corp. Latest Developments
11.12 Teradata Corp.
11.12.1 Teradata Corp. Company Information
11.12.2 Teradata Corp. Big Data Analytics in Telecom Product Offered
11.12.3 Teradata Corp. Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 Teradata Corp. Main Business Overview
11.12.5 Teradata Corp. Latest Developments
11.13 Amazon Web Services
11.13.1 Amazon Web Services Company Information
11.13.2 Amazon Web Services Big Data Analytics in Telecom Product Offered
11.13.3 Amazon Web Services Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.13.4 Amazon Web Services Main Business Overview
11.13.5 Amazon Web Services Latest Developments
11.14 Cloudera
11.14.1 Cloudera Company Information
11.14.2 Cloudera Big Data Analytics in Telecom Product Offered
11.14.3 Cloudera Big Data Analytics in Telecom Revenue, Gross Margin and Market Share (2019-2024)
11.14.4 Cloudera Main Business Overview
11.14.5 Cloudera Latest Developments
12 Research Findings and Conclusion

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