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 2030

Big Data and Analytics in Telecom Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 14.3%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Big Data and Analytics in Telecom
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.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
CAGR14.3%


Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Big Data and Analytics in Telecom market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

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) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are 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) and Fintellix (India).

Segmentation Overview
AMA Research has segmented the market of Global Big Data and Analytics in Telecom market by Type (Predictive analytics, Data mining, Text analytics and Statistical analysis) and Region.



On the basis of geography, the market of Big Data and Analytics in Telecom has been segmented into 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). If we see Market by Component, the sub-segment i.e. Software will boost the Big Data and Analytics in Telecom market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Solution, the sub-segment i.e. Fraud Detection will boost the Big Data and Analytics in Telecom market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Rising Demand for Agile Data Analytics and Constant Access to Ad-Hoc Queries

Market Growth 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 and Emergence of IOT (Internet of Things)

Challenges:
Lack of Effective Strategy Regarding Big Data Application Among Enterprises and Integration of All Necessary Data Sources

Restraints:
Stringent Regulations Regarding Security and Privacy of Data and 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

Market Leaders and their expansionary development strategies
In May 2020 ,Accenture has acquired Byte Prophecy, an automated insights and big data analytics company based in Ahmedabad, India, to meet the growing demand for enterprise-scale AI and digital analytics solutions across the region.
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.
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.”

Key Target Audience
Big Data Software Vendors, Big Data Service Vendors, System Integraters, Network And Systems Integrators, Value-Added Resellers (Vars) And Distributors, Research Organizations, Independent Software Vendors, Telecom Companies, Potential Technology Investors, Government Agencies and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

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) (2018-2023)
    • 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
  • 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 (2023)
    • 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) (2025-2030)
    • 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
  • 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 (2018-2023)
  • Table 3. Big Data and Analytics in Telecom Data mining , by Region USD Million (2018-2023)
  • Table 4. Big Data and Analytics in Telecom Text analytics , by Region USD Million (2018-2023)
  • Table 5. Big Data and Analytics in Telecom Statistical analysis , by Region USD Million (2018-2023)
  • 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 (2018-2023)
  • Table 8. Big Data and Analytics in Telecom Hardware , by Region USD Million (2018-2023)
  • 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 (2018-2023)
  • Table 11. Big Data and Analytics in Telecom Risk Management , by Region USD Million (2018-2023)
  • Table 12. Big Data and Analytics in Telecom Customer Analytics & Content Analytics , by Region USD Million (2018-2023)
  • Table 13. South America Big Data and Analytics in Telecom, by Country USD Million (2018-2023)
  • Table 14. South America Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 15. South America Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 16. South America Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 17. Brazil Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 18. Brazil Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 19. Brazil Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 20. Argentina Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 21. Argentina Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 22. Argentina Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 23. Rest of South America Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 24. Rest of South America Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 25. Rest of South America Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 26. Asia Pacific Big Data and Analytics in Telecom, by Country USD Million (2018-2023)
  • Table 27. Asia Pacific Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 28. Asia Pacific Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 29. Asia Pacific Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 30. China Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 31. China Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 32. China Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 33. Japan Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 34. Japan Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 35. Japan Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 36. India Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 37. India Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 38. India Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 39. South Korea Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 40. South Korea Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 41. South Korea Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 42. Taiwan Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 43. Taiwan Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 44. Taiwan Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 45. Australia Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 46. Australia Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 47. Australia Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 48. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 49. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 50. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 51. Europe Big Data and Analytics in Telecom, by Country USD Million (2018-2023)
  • Table 52. Europe Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 53. Europe Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 54. Europe Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 55. Germany Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 56. Germany Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 57. Germany Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 58. France Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 59. France Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 60. France Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 61. Italy Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 62. Italy Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 63. Italy Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 64. United Kingdom Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 65. United Kingdom Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 66. United Kingdom Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 67. Netherlands Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 68. Netherlands Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 69. Netherlands Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 70. Rest of Europe Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 71. Rest of Europe Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 72. Rest of Europe Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 73. MEA Big Data and Analytics in Telecom, by Country USD Million (2018-2023)
  • Table 74. MEA Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 75. MEA Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 76. MEA Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 77. Middle East Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 78. Middle East Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 79. Middle East Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 80. Africa Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 81. Africa Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 82. Africa Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 83. North America Big Data and Analytics in Telecom, by Country USD Million (2018-2023)
  • Table 84. North America Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 85. North America Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 86. North America Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 87. United States Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 88. United States Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 89. United States Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 90. Canada Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 91. Canada Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 92. Canada Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 93. Mexico Big Data and Analytics in Telecom, by Type USD Million (2018-2023)
  • Table 94. Mexico Big Data and Analytics in Telecom, by Component USD Million (2018-2023)
  • Table 95. Mexico Big Data and Analytics in Telecom, by Solution USD Million (2018-2023)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • 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. Big Data and Analytics in Telecom: by Type(USD Million)
  • Table 116. Big Data and Analytics in Telecom Predictive analytics , by Region USD Million (2025-2030)
  • Table 117. Big Data and Analytics in Telecom Data mining , by Region USD Million (2025-2030)
  • Table 118. Big Data and Analytics in Telecom Text analytics , by Region USD Million (2025-2030)
  • Table 119. Big Data and Analytics in Telecom Statistical analysis , by Region USD Million (2025-2030)
  • Table 120. Big Data and Analytics in Telecom: by Component(USD Million)
  • Table 121. Big Data and Analytics in Telecom Software , by Region USD Million (2025-2030)
  • Table 122. Big Data and Analytics in Telecom Hardware , by Region USD Million (2025-2030)
  • Table 123. Big Data and Analytics in Telecom: by Solution(USD Million)
  • Table 124. Big Data and Analytics in Telecom Fraud Detection , by Region USD Million (2025-2030)
  • Table 125. Big Data and Analytics in Telecom Risk Management , by Region USD Million (2025-2030)
  • Table 126. Big Data and Analytics in Telecom Customer Analytics & Content Analytics , by Region USD Million (2025-2030)
  • Table 127. South America Big Data and Analytics in Telecom, by Country USD Million (2025-2030)
  • Table 128. South America Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 129. South America Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 130. South America Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 131. Brazil Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 132. Brazil Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 133. Brazil Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 134. Argentina Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 135. Argentina Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 136. Argentina Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 137. Rest of South America Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 138. Rest of South America Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 139. Rest of South America Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 140. Asia Pacific Big Data and Analytics in Telecom, by Country USD Million (2025-2030)
  • Table 141. Asia Pacific Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 142. Asia Pacific Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 143. Asia Pacific Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 144. China Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 145. China Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 146. China Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 147. Japan Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 148. Japan Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 149. Japan Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 150. India Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 151. India Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 152. India Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 153. South Korea Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 154. South Korea Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 155. South Korea Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 156. Taiwan Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 157. Taiwan Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 158. Taiwan Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 159. Australia Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 160. Australia Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 161. Australia Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 162. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 163. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 164. Rest of Asia-Pacific Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 165. Europe Big Data and Analytics in Telecom, by Country USD Million (2025-2030)
  • Table 166. Europe Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 167. Europe Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 168. Europe Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 169. Germany Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 170. Germany Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 171. Germany Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 172. France Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 173. France Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 174. France Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 175. Italy Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 176. Italy Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 177. Italy Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 178. United Kingdom Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 179. United Kingdom Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 180. United Kingdom Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 181. Netherlands Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 182. Netherlands Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 183. Netherlands Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 184. Rest of Europe Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 185. Rest of Europe Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 186. Rest of Europe Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 187. MEA Big Data and Analytics in Telecom, by Country USD Million (2025-2030)
  • Table 188. MEA Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 189. MEA Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 190. MEA Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 191. Middle East Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 192. Middle East Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 193. Middle East Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 194. Africa Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 195. Africa Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 196. Africa Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 197. North America Big Data and Analytics in Telecom, by Country USD Million (2025-2030)
  • Table 198. North America Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 199. North America Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 200. North America Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 201. United States Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 202. United States Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 203. United States Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 204. Canada Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 205. Canada Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 206. Canada Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 207. Mexico Big Data and Analytics in Telecom, by Type USD Million (2025-2030)
  • Table 208. Mexico Big Data and Analytics in Telecom, by Component USD Million (2025-2030)
  • Table 209. Mexico Big Data and Analytics in Telecom, by Solution USD Million (2025-2030)
  • Table 210. Research Programs/Design for This Report
  • Table 211. Key Data Information from Secondary Sources
  • Table 212. 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 (2018-2023)
  • Figure 5. Global Big Data and Analytics in Telecom: by Component USD Million (2018-2023)
  • Figure 6. Global Big Data and Analytics in Telecom: by Solution USD Million (2018-2023)
  • 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 share by Players 2023 (%)
  • Figure 13. Global Big Data and Analytics in Telecom share by Players (Top 3) 2023(%)
  • Figure 14. Global Big Data and Analytics in Telecom share by Players (Top 5) 2023(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Accenture (Ireland) Revenue, Net Income and Gross profit
  • Figure 17. Accenture (Ireland) Revenue: by Geography 2023
  • Figure 18. Cisco Systems (United States) Revenue, Net Income and Gross profit
  • Figure 19. Cisco Systems (United States) Revenue: by Geography 2023
  • Figure 20. Informatica (United States) Revenue, Net Income and Gross profit
  • Figure 21. Informatica (United States) Revenue: by Geography 2023
  • Figure 22. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 23. SAS Institute (United States) Revenue: by Geography 2023
  • Figure 24. Microsoft Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 25. Microsoft Corp. (United States) Revenue: by Geography 2023
  • Figure 26. Google Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. Google Inc. (United States) Revenue: by Geography 2023
  • Figure 28. Hewlett-Packard Co. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Hewlett-Packard Co. (United States) Revenue: by Geography 2023
  • Figure 30. EMC Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 31. EMC Corp. (United States) Revenue: by Geography 2023
  • Figure 32. IBM Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 33. IBM Corp. (United States) Revenue: by Geography 2023
  • Figure 34. Oracle Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 35. Oracle Corp. (United States) Revenue: by Geography 2023
  • Figure 36. Teradata Corp. (United States) Revenue, Net Income and Gross profit
  • Figure 37. Teradata Corp. (United States) Revenue: by Geography 2023
  • Figure 38. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 39. Amazon Web Services, Inc. (United States) Revenue: by Geography 2023
  • Figure 40. Latentview (United States) Revenue, Net Income and Gross profit
  • Figure 41. Latentview (United States) Revenue: by Geography 2023
  • Figure 42. Indix (United States) Revenue, Net Income and Gross profit
  • Figure 43. Indix (United States) Revenue: by Geography 2023
  • Figure 44. Analytic-Edge (United States) Revenue, Net Income and Gross profit
  • Figure 45. Analytic-Edge (United States) Revenue: by Geography 2023
  • Figure 46. Tookitaki (Sinagpore) Revenue, Net Income and Gross profit
  • Figure 47. Tookitaki (Sinagpore) Revenue: by Geography 2023
  • Figure 48. Splunk Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 49. Splunk Inc. (United States) Revenue: by Geography 2023
  • Figure 50. Couchbase Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 51. Couchbase Inc. (United States) Revenue: by Geography 2023
  • Figure 52. Cloudera, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 53. Cloudera, Inc. (United States) Revenue: by Geography 2023
  • Figure 54. Global Big Data and Analytics in Telecom: by Type USD Million (2025-2030)
  • Figure 55. Global Big Data and Analytics in Telecom: by Component USD Million (2025-2030)
  • Figure 56. Global Big Data and Analytics in Telecom: by Solution USD Million (2025-2030)
  • Figure 57. South America Big Data and Analytics in Telecom Share (%), by Country
  • Figure 58. Asia Pacific Big Data and Analytics in Telecom Share (%), by Country
  • Figure 59. Europe Big Data and Analytics in Telecom Share (%), by Country
  • Figure 60. MEA Big Data and Analytics in Telecom Share (%), by Country
  • Figure 61. North America Big Data and Analytics in Telecom Share (%), by Country
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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Apr 2024 245 Pages 56 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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

The standard version of the report profiles 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.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Rising Demand for Agile Data Analytics " is seen as one of major influencing trends for Big Data and Analytics in Telecom Market during projected period 2023-2030.
The Big Data and Analytics in Telecom market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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