The global big data analytics in telecom market is expected to grow from USD 1.5 billion in 2017 to USD 3.2 billion by 2030, at a CAGR of 12.6% during the forecast period. The major factors driving the growth of this market are the increasing demand for real-time insights and predictive analytics, and the need for better customer experience management. The increasing adoption of cloud-based solutions is also expected to fuel the growth of this market during the forecast period.
Cloubased: The cloubased segment is expected to account for a significant share in terms of revenue over the next few years due to its high scalability and flexibility, which makes it suitable for small and medium enterprises (SMEs). However, large enterprises are also adopting cloubased solutions owing to their cost effectiveness as well as ease of deployment on any device or platform with an internet connection.
Opremise: The opremise segment is expected to account for a significant share in terms of revenue over the next few years due to its high scalability and flexibility, which makes it suitable for large enterprises (LEs). However, SMEs are also adopting opremise solutions owing to their cost effectiveness as well as ease of deployment on any device or platform with an internet connection.
Some Of The Growth Factors Of This Market:
- The telecom industry is one of the most data-driven industries in the world, and it is expected to generate more than $200 billion in revenue by 2020.
- Telecom companies are using Big Data analytics to improve customer experience, increase operational efficiency, and reduce costs.
Industry Growth Insights published a new data on “Big Data Analytics in Telecom Market”. The research report is titled “Big Data Analytics in Telecom Market research by Types (Cloud-based, On-premise), By Applications (Small and Medium-Sized Enterprises, Large Enterprises), By Players/Companies 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”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Big Data Analytics in Telecom Market Research Report
By Type
Cloud-based, On-premise
By Application
Small and Medium-Sized Enterprises, Large Enterprises
By Companies
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
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global Big Data Analytics in Telecom Market Report Segments:
The global Big Data Analytics in Telecom market is segmented on the basis of:
Types
Cloud-based, On-premise
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Small and Medium-Sized Enterprises, Large Enterprises
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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
Highlights of The Big Data Analytics in Telecom Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- On-premise
- By Application:
- Small and Medium-Sized Enterprises
- Large Enterprises
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Big Data Analytics in Telecom Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Big data analytics is the process of using advanced data analysis techniques to extract valuable insights from large amounts of data. This can be used to improve customer experience, identify and prevent fraud, and optimize business operations.
Some of the key players operating in the big data analytics in telecom market are 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.
The big data analytics in telecom market is expected to register a CAGR of 12.6%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Big Data Analytics in Telecom Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Big Data Analytics in Telecom Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Big Data Analytics in Telecom Market - Supply Chain
4.5. Global Big Data Analytics in Telecom Market Forecast
4.5.1. Big Data Analytics in Telecom Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Big Data Analytics in Telecom Market Size (000 Units) and Y-o-Y Growth
4.5.3. Big Data Analytics in Telecom Market Absolute $ Opportunity
5. Global Big Data Analytics in Telecom Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Big Data Analytics in Telecom Market Size and Volume Forecast by Type
5.3.1. Cloud-based
5.3.2. On-premise
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Big Data Analytics in Telecom Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Big Data Analytics in Telecom Market Size and Volume Forecast by Application
6.3.1. Small and Medium-Sized Enterprises
6.3.2. Large Enterprises
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Big Data Analytics in Telecom Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Big Data Analytics in Telecom Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Big Data Analytics in Telecom Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Big Data Analytics in Telecom Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Big Data Analytics in Telecom Demand Share Forecast, 2019-2026
9. North America Big Data Analytics in Telecom Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Big Data Analytics in Telecom Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Big Data Analytics in Telecom Market Size and Volume Forecast by Application
9.4.1. Small and Medium-Sized Enterprises
9.4.2. Large Enterprises
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Big Data Analytics in Telecom Market Size and Volume Forecast by Type
9.7.1. Cloud-based
9.7.2. On-premise
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Big Data Analytics in Telecom Demand Share Forecast, 2019-2026
10. Latin America Big Data Analytics in Telecom Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Big Data Analytics in Telecom Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Big Data Analytics in Telecom Market Size and Volume Forecast by Application
10.4.1. Small and Medium-Sized Enterprises
10.4.2. Large Enterprises
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Big Data Analytics in Telecom Market Size and Volume Forecast by Type
10.7.1. Cloud-based
10.7.2. On-premise
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Big Data Analytics in Telecom Demand Share Forecast, 2019-2026
11. Europe Big Data Analytics in Telecom Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Big Data Analytics in Telecom Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Big Data Analytics in Telecom Market Size and Volume Forecast by Application
11.4.1. Small and Medium-Sized Enterprises
11.4.2. Large Enterprises
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Big Data Analytics in Telecom Market Size and Volume Forecast by Type
11.7.1. Cloud-based
11.7.2. On-premise
11.8. Basis Point Share (BPS) Analysis y Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Big Data Analytics in Telecom Demand Share, 2019-2026
12. Asia Pacific Big Data Analytics in Telecom Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Big Data Analytics in Telecom Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Big Data Analytics in Telecom Market Size and Volume Forecast by Application
12.4.1. Small and Medium-Sized Enterprises
12.4.2. Large Enterprises
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Big Data Analytics in Telecom Market Size and Volume Forecast by Type
12.7.1. Cloud-based
12.7.2. On-premise
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Big Data Analytics in Telecom Demand Share, 2019-2026
13. Middle East & Africa Big Data Analytics in Telecom Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Big Data Analytics in Telecom Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Big Data Analytics in Telecom Market Size and Volume Forecast by Application
13.4.1. Small and Medium-Sized Enterprises
13.4.2. Large Enterprises
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Big Data Analytics in Telecom Market Size and Volume Forecast by Type
13.7.1. Cloud-based
13.7.2. On-premise
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Big Data Analytics in Telecom Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Big Data Analytics in Telecom Market: Market Share Analysis
14.2. Big Data Analytics in Telecom Distributors and Customers
14.3. Big Data Analytics in Telecom Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Microsoft Corporation
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. MongoDB
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. United Technologies Corporation
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. JDA Software, Inc.
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Software AG
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Sensewaves
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Avant
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. SAP
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. IBM Corp
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Splunk
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Oracle Corp.
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Teradata Corp.
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Amazon Web Services
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. Cloudera
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. COMPANY 15
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
