Global Big Data and Analytics in Telecom Market

Big Data and Analytics in Telecom Comprehensive Study by Type (Predictive analytics, Data mining, Text analytics, Statistical analysis), Component (Software, Hardware), Solution (Fraud Detection, Risk Management, Customer Analytics & Content Analytics) Players and Region - Global Market Outlook to 2026

Big Data and Analytics in Telecom Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Big Data and Analytics in telecom used to study the large volume of data in order to process them in a way to take better decision. Telecom companies generate a huge amount of data which can be processed to know user behaviours. Though big data possess huge monetizing potential stringent regulations regarding data security limits its use. The Big Data analytics in Telecommunication is expected to grow in the market owing to growing fraudulent activities in telecom Sectors and rise in demand for Quality of Services.This growth is primarily driven by Big Data Helps Improve Quality of Services by Enabling Enterprises Take Better Decision, Massive Growth of Data, Growing Use of Big Data in Identifying Fraudulent Activities in Telecom Sector and Emergence of IOT (Internet of Things).

Globally, a noticeable market trend is evident Rising Demand for Agile Data Analytics . Major Players, such as Accenture (Ireland), Cisco Systems (United States), Informatica (United States), SAS Institute (United States), Microsoft Corp. (United States), Google Inc. (United States), Hewlett-Packard Co. (United States), EMC Corp. (United States), IBM Corp. (United States), Oracle Corp. (United States), Teradata Corp. (United States), Amazon Web Services, Inc. (United States), Latentview (United States), Indix (United States), Analytic-Edge (United States), Tookitaki (Sinagpore), Splunk Inc. (United States), Couchbase Inc. (United States) and Cloudera, Inc. (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

In February 2019, Intracom S.A. Telecom Solutions announced today the introduction of its new Point-to-MultiPoint (PtMP) MW radio, WiBAS micro-BS for corporate and residential connectivity. The Intracom S.A. Telecom Solutions is a global telecommunication system and solutions which has set the benchmark in fixed wireless access and it innovates in the backhaul, 5G/4G wireless fronthaul and small-cell SON backhaul international arena. Intracom Telecom offers solutions as revenue-generating software solutions and ICT services which focus on IoT, SDN/NFV, Big Data analytics & data-driven intelligence and Smart City solutions.

Regulatory Insights:
According to U.S. Federal Regulation “Big data is done through a variety of statutes. To fully appreciate privacy in the United States it is important to note there is no one unified federal privacy law. Rather, privacy regulations come in the form of separate statutes and agency regulations. Some of the most well-known privacy laws are Health Insurance Portability and Accountability Act of 1996, commonly referred to as HIPPA. This statute protects patient information and controls the type of patient data that can be released. HIPPA pre-dates the big data movement (although it has been updated as late as 2013 in the Omnibus bill), and because of that the data in big data is restricted to conform to HIPPA regulations.”

Market Drivers
  • Big Data Helps Improve Quality of Services by Enabling Enterprises Take Better Decision
  • Massive Growth of Data
  • Growing Use of Big Data in Identifying Fraudulent Activities in Telecom Sector
  • Emergence of IOT (Internet of Things)

Market Trend
  • Rising Demand for Agile Data Analytics
  • Constant Access to Ad-Hoc Queries

Restraints
  • Stringent Regulations Regarding Security and Privacy of Data
  • Lack of Awareness of the Benefits of Big Data Solutions and Services

Opportunities
Emergence of 5G Technology and Big Data Solutions Enhancing Organizational Return on Investment
Challenges
Lack of Effective Strategy Regarding Big Data Application Among Enterprises and Integration of All Necessary Data Sources

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Big Data and Analytics in Telecom Study Sheds Light on
— The Big Data and Analytics in Telecom Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Big Data and Analytics in Telecom industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Big Data and Analytics in Telecom industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

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Report Objectives / Segmentation Covered

By Type
  • Predictive analytics
  • Data mining
  • Text analytics
  • Statistical analysis
By Component
  • Software
  • Hardware

By Solution
  • Fraud Detection
  • Risk Management
  • Customer Analytics & Content Analytics

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Big Data Helps Improve Quality of Services by Enabling Enterprises Take Better Decision
      • 3.2.2. Massive Growth of Data
      • 3.2.3. Growing Use of Big Data in Identifying Fraudulent Activities in Telecom Sector
      • 3.2.4. Emergence of IOT (Internet of Things)
    • 3.3. Market Challenges
      • 3.3.1. Lack of Effective Strategy Regarding Big Data Application Among Enterprises
      • 3.3.2. Integration of All Necessary Data Sources
    • 3.4. Market Trends
      • 3.4.1. Rising Demand for Agile Data Analytics
      • 3.4.2. Constant Access to Ad-Hoc Queries
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Big Data and Analytics in Telecom, by Type, Component, Solution and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Big Data and Analytics in Telecom (Value)
      • 5.2.1. Global Big Data and Analytics in Telecom by: Type (Value)
        • 5.2.1.1. Predictive analytics
        • 5.2.1.2. Data mining
        • 5.2.1.3. Text analytics
        • 5.2.1.4. Statistical analysis
      • 5.2.2. Global Big Data and Analytics in Telecom by: Component (Value)
        • 5.2.2.1. Software
        • 5.2.2.2. Hardware
      • 5.2.3. Global Big Data and Analytics in Telecom by: Solution (Value)
        • 5.2.3.1. Fraud Detection
        • 5.2.3.2. Risk Management
        • 5.2.3.3. Customer Analytics & Content Analytics
      • 5.2.4. Global Big Data and Analytics in Telecom Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
    • 5.3. Global Big Data and Analytics in Telecom (Price)
      • 5.3.1. Global Big Data and Analytics in Telecom by: Type (Price)
  • 6. Big Data and Analytics in Telecom: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Accenture (Ireland)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Cisco Systems (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Informatica (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. SAS Institute (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Microsoft Corp. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Hewlett-Packard Co. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. EMC Corp. (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. IBM Corp. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Oracle Corp. (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Teradata Corp. (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Amazon Web Services, Inc. (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Latentview (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. Indix (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Analytic-Edge (United States)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Tookitaki (Sinagpore)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Splunk Inc. (United States)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. Couchbase Inc. (United States)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
      • 6.4.19. Cloudera, Inc. (United States)
        • 6.4.19.1. Business Overview
        • 6.4.19.2. Products/Services Offerings
        • 6.4.19.3. Financial Analysis
        • 6.4.19.4. SWOT Analysis
  • 7. Global Big Data and Analytics in Telecom Sale, by Type, Component, Solution and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Big Data and Analytics in Telecom (Value)
      • 7.2.1. Global Big Data and Analytics in Telecom by: Type (Value)
        • 7.2.1.1. Predictive analytics
        • 7.2.1.2. Data mining
        • 7.2.1.3. Text analytics
        • 7.2.1.4. Statistical analysis
      • 7.2.2. Global Big Data and Analytics in Telecom by: Component (Value)
        • 7.2.2.1. Software
        • 7.2.2.2. Hardware
      • 7.2.3. Global Big Data and Analytics in Telecom by: Solution (Value)
        • 7.2.3.1. Fraud Detection
        • 7.2.3.2. Risk Management
        • 7.2.3.3. Customer Analytics & Content Analytics
      • 7.2.4. Global Big Data and Analytics in Telecom Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
    • 7.3. Global Big Data and Analytics in Telecom (Price)
      • 7.3.1. Global Big Data and Analytics in Telecom by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Big Data and Analytics in Telecom: by Type(USD Million)
  • Table 2. Big Data and Analytics in Telecom Predictive analytics , by Region USD Million (2015-2020)
  • Table 3. Big Data and Analytics in Telecom Data mining , by Region USD Million (2015-2020)
  • Table 4. Big Data and Analytics in Telecom Text analytics , by Region USD Million (2015-2020)
  • Table 5. Big Data and Analytics in Telecom Statistical analysis , by Region USD Million (2015-2020)
  • Table 6. Big Data and Analytics in Telecom: by Component(USD Million)
  • Table 7. Big Data and Analytics in Telecom Software , by Region USD Million (2015-2020)
  • Table 8. Big Data and Analytics in Telecom Hardware , by Region USD Million (2015-2020)
  • Table 9. Big Data and Analytics in Telecom: by Solution(USD Million)
  • Table 10. Big Data and Analytics in Telecom Fraud Detection , by Region USD Million (2015-2020)
  • Table 11. Big Data and Analytics in Telecom Risk Management , by Region USD Million (2015-2020)
  • Table 12. Big Data and Analytics in Telecom Customer Analytics & Content Analytics , by Region USD Million (2015-2020)
  • Table 13. South America Big Data and Analytics in Telecom, by Country USD Million (2015-2020)
  • Table 14. South America Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 15. South America Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 16. South America Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 17. Brazil Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 18. Brazil Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 19. Brazil Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 20. Argentina Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 21. Argentina Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 22. Argentina Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 23. Rest of South America Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 24. Rest of South America Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 25. Rest of South America Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 26. Asia Pacific Big Data and Analytics in Telecom, by Country USD Million (2015-2020)
  • Table 27. Asia Pacific Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 28. Asia Pacific Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 29. Asia Pacific Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 30. China Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 31. China Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 32. China Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 33. Japan Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 34. Japan Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 35. Japan Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 36. India Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 37. India Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 38. India Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 39. South Korea Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 40. South Korea Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 41. South Korea Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 42. Taiwan Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 43. Taiwan Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 44. Taiwan Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 45. Australia Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 46. Australia Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 47. Australia Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 48. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 49. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 50. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 51. Europe Big Data and Analytics in Telecom, by Country USD Million (2015-2020)
  • Table 52. Europe Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 53. Europe Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 54. Europe Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 55. Germany Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 56. Germany Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 57. Germany Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 58. France Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 59. France Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 60. France Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 61. Italy Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 62. Italy Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 63. Italy Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 64. United Kingdom Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 65. United Kingdom Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 66. United Kingdom Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 67. Netherlands Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 68. Netherlands Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 69. Netherlands Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 70. Rest of Europe Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 71. Rest of Europe Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 72. Rest of Europe Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 73. MEA Big Data and Analytics in Telecom, by Country USD Million (2015-2020)
  • Table 74. MEA Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 75. MEA Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 76. MEA Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 77. Middle East Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 78. Middle East Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 79. Middle East Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 80. Africa Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 81. Africa Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 82. Africa Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 83. North America Big Data and Analytics in Telecom, by Country USD Million (2015-2020)
  • Table 84. North America Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 85. North America Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 86. North America Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 87. United States Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 88. United States Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 89. United States Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 90. Canada Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 91. Canada Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 92. Canada Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 93. Mexico Big Data and Analytics in Telecom, by Type USD Million (2015-2020)
  • Table 94. Mexico Big Data and Analytics in Telecom, by Component USD Million (2015-2020)
  • Table 95. Mexico Big Data and Analytics in Telecom, by Solution USD Million (2015-2020)
  • Table 96. Big Data and Analytics in Telecom: by Type(USD/Units)
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. Company Basic Information, Sales Area and Its Competitors
  • Table 113. Company Basic Information, Sales Area and Its Competitors
  • Table 114. Company Basic Information, Sales Area and Its Competitors
  • Table 115. Company Basic Information, Sales Area and Its Competitors
  • Table 116. Big Data and Analytics in Telecom: by Type(USD Million)
  • Table 117. Big Data and Analytics in Telecom Predictive analytics , by Region USD Million (2021-2026)
  • Table 118. Big Data and Analytics in Telecom Data mining , by Region USD Million (2021-2026)
  • Table 119. Big Data and Analytics in Telecom Text analytics , by Region USD Million (2021-2026)
  • Table 120. Big Data and Analytics in Telecom Statistical analysis , by Region USD Million (2021-2026)
  • Table 121. Big Data and Analytics in Telecom: by Component(USD Million)
  • Table 122. Big Data and Analytics in Telecom Software , by Region USD Million (2021-2026)
  • Table 123. Big Data and Analytics in Telecom Hardware , by Region USD Million (2021-2026)
  • Table 124. Big Data and Analytics in Telecom: by Solution(USD Million)
  • Table 125. Big Data and Analytics in Telecom Fraud Detection , by Region USD Million (2021-2026)
  • Table 126. Big Data and Analytics in Telecom Risk Management , by Region USD Million (2021-2026)
  • Table 127. Big Data and Analytics in Telecom Customer Analytics & Content Analytics , by Region USD Million (2021-2026)
  • Table 128. South America Big Data and Analytics in Telecom, by Country USD Million (2021-2026)
  • Table 129. South America Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 130. South America Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 131. South America Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 132. Brazil Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 133. Brazil Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 134. Brazil Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 135. Argentina Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 136. Argentina Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 137. Argentina Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 138. Rest of South America Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 139. Rest of South America Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 140. Rest of South America Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 141. Asia Pacific Big Data and Analytics in Telecom, by Country USD Million (2021-2026)
  • Table 142. Asia Pacific Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 143. Asia Pacific Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 144. Asia Pacific Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 145. China Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 146. China Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 147. China Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 148. Japan Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 149. Japan Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 150. Japan Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 151. India Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 152. India Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 153. India Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 154. South Korea Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 155. South Korea Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 156. South Korea Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 157. Taiwan Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 158. Taiwan Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 159. Taiwan Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 160. Australia Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 161. Australia Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 162. Australia Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 163. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 164. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 165. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 166. Europe Big Data and Analytics in Telecom, by Country USD Million (2021-2026)
  • Table 167. Europe Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 168. Europe Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 169. Europe Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 170. Germany Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 171. Germany Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 172. Germany Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 173. France Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 174. France Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 175. France Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 176. Italy Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 177. Italy Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 178. Italy Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 179. United Kingdom Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 180. United Kingdom Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 181. United Kingdom Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 182. Netherlands Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 183. Netherlands Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 184. Netherlands Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 185. Rest of Europe Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 186. Rest of Europe Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 187. Rest of Europe Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 188. MEA Big Data and Analytics in Telecom, by Country USD Million (2021-2026)
  • Table 189. MEA Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 190. MEA Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 191. MEA Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 192. Middle East Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 193. Middle East Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 194. Middle East Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 195. Africa Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 196. Africa Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 197. Africa Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 198. North America Big Data and Analytics in Telecom, by Country USD Million (2021-2026)
  • Table 199. North America Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 200. North America Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 201. North America Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 202. United States Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 203. United States Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 204. United States Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 205. Canada Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 206. Canada Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 207. Canada Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 208. Mexico Big Data and Analytics in Telecom, by Type USD Million (2021-2026)
  • Table 209. Mexico Big Data and Analytics in Telecom, by Component USD Million (2021-2026)
  • Table 210. Mexico Big Data and Analytics in Telecom, by Solution USD Million (2021-2026)
  • Table 211. Big Data and Analytics in Telecom: by Type(USD/Units)
  • Table 212. Research Programs/Design for This Report
  • Table 213. Key Data Information from Secondary Sources
  • Table 214. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Big Data and Analytics in Telecom: by Type USD Million (2015-2020)
  • Figure 5. Global Big Data and Analytics in Telecom: by Component USD Million (2015-2020)
  • Figure 6. Global Big Data and Analytics in Telecom: by Solution USD Million (2015-2020)
  • Figure 7. South America Big Data and Analytics in Telecom Share (%), by Country
  • Figure 8. Asia Pacific Big Data and Analytics in Telecom Share (%), by Country
  • Figure 9. Europe Big Data and Analytics in Telecom Share (%), by Country
  • Figure 10. MEA Big Data and Analytics in Telecom Share (%), by Country
  • Figure 11. North America Big Data and Analytics in Telecom Share (%), by Country
  • Figure 12. Global Big Data and Analytics in Telecom: by Type USD/Units (2015-2020)
  • Figure 13. Global Big Data and Analytics in Telecom share by Players 2020 (%)
  • Figure 14. Global Big Data and Analytics in Telecom share by Players (Top 3) 2020(%)
  • Figure 15. Global Big Data and Analytics in Telecom share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Accenture (Ireland) Revenue, Net Income and Gross profit
  • Figure 18. Accenture (Ireland) Revenue: by Geography 2020
  • Figure 19. Cisco Systems (United States) Revenue, Net Income and Gross profit
  • Figure 20. Cisco Systems (United States) Revenue: by Geography 2020
  • Figure 21. Informatica (United States) Revenue, Net Income and Gross profit
  • Figure 22. Informatica (United States) Revenue: by Geography 2020
  • Figure 23. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 24. SAS Institute (United States) Revenue: by Geography 2020
  • Figure 25. Microsoft Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 26. Microsoft Corp. (United States) Revenue: by Geography 2020
  • Figure 27. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Google Inc. (United States) Revenue: by Geography 2020
  • Figure 29. Hewlett-Packard Co. (United States) Revenue, Net Income and Gross profit
  • Figure 30. Hewlett-Packard Co. (United States) Revenue: by Geography 2020
  • Figure 31. EMC Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 32. EMC Corp. (United States) Revenue: by Geography 2020
  • Figure 33. IBM Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 34. IBM Corp. (United States) Revenue: by Geography 2020
  • Figure 35. Oracle Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 36. Oracle Corp. (United States) Revenue: by Geography 2020
  • Figure 37. Teradata Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 38. Teradata Corp. (United States) Revenue: by Geography 2020
  • Figure 39. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. Amazon Web Services, Inc. (United States) Revenue: by Geography 2020
  • Figure 41. Latentview (United States) Revenue, Net Income and Gross profit
  • Figure 42. Latentview (United States) Revenue: by Geography 2020
  • Figure 43. Indix (United States) Revenue, Net Income and Gross profit
  • Figure 44. Indix (United States) Revenue: by Geography 2020
  • Figure 45. Analytic-Edge (United States) Revenue, Net Income and Gross profit
  • Figure 46. Analytic-Edge (United States) Revenue: by Geography 2020
  • Figure 47. Tookitaki (Sinagpore) Revenue, Net Income and Gross profit
  • Figure 48. Tookitaki (Sinagpore) Revenue: by Geography 2020
  • Figure 49. Splunk Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 50. Splunk Inc. (United States) Revenue: by Geography 2020
  • Figure 51. Couchbase Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 52. Couchbase Inc. (United States) Revenue: by Geography 2020
  • Figure 53. Cloudera, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 54. Cloudera, Inc. (United States) Revenue: by Geography 2020
  • Figure 55. Global Big Data and Analytics in Telecom: by Type USD Million (2021-2026)
  • Figure 56. Global Big Data and Analytics in Telecom: by Component USD Million (2021-2026)
  • Figure 57. Global Big Data and Analytics in Telecom: by Solution USD Million (2021-2026)
  • Figure 58. South America Big Data and Analytics in Telecom Share (%), by Country
  • Figure 59. Asia Pacific Big Data and Analytics in Telecom Share (%), by Country
  • Figure 60. Europe Big Data and Analytics in Telecom Share (%), by Country
  • Figure 61. MEA Big Data and Analytics in Telecom Share (%), by Country
  • Figure 62. North America Big Data and Analytics in Telecom Share (%), by Country
  • Figure 63. Global Big Data and Analytics in Telecom: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • Accenture (Ireland)
  • Cisco Systems (United States)
  • Informatica (United States)
  • SAS Institute (United States)
  • Microsoft Corp. (United States)
  • Google Inc. (United States)
  • Hewlett-Packard Co. (United States)
  • EMC Corp. (United States)
  • IBM Corp. (United States)
  • Oracle Corp. (United States)
  • Teradata Corp. (United States)
  • Amazon Web Services, Inc. (United States)
  • Latentview (United States)
  • Indix (United States)
  • Analytic-Edge (United States)
  • Tookitaki (Sinagpore)
  • Splunk Inc. (United States)
  • Couchbase Inc. (United States)
  • Cloudera, Inc. (United States)
Additional players considered in the study are as follows:
TEG Analytics (United States) , Heckyl Technologies (United Kingdom) , KloudData Inc. (United States) , Gramener (United States) , Germin8 (India) , VIS Networks Pvt. Ltd. (India) , Abzooba (United States) , Fintellix (India)
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Oct 2021 245 Pages 56 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Big Data and Analytics in Telecom Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global Big Data and Analytics in Telecom Market are Accenture (Ireland), Cisco Systems (United States), Informatica (United States), SAS Institute (United States), Microsoft Corp. (United States), Google Inc. (United States), Hewlett-Packard Co. (United States), EMC Corp. (United States), IBM Corp. (United States), Oracle Corp. (United States), Teradata Corp. (United States), Amazon Web Services, Inc. (United States), Latentview (United States), Indix (United States), Analytic-Edge (United States), Tookitaki (Sinagpore), Splunk Inc. (United States), Couchbase Inc. (United States) and Cloudera, Inc. (United States) etc.
Big Data and Analytics in telecom used to study the large volume of data in order to process them in a way to take better decision. Telecom companies generate a huge amount of data which can be processed to know user behaviours. Though big data possess huge monetizing potential stringent regulations regarding data security limits its use. The Big Data analytics in Telecommunication is expected to grow in the market owing to growing fraudulent activities in telecom Sectors and rise in demand for Quality of Services.

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