Big Data Challenges and Opportunities in Telecom 2017-2022

  • ID: 4409818
  • Report
  • 240 Pages
  • Maxvey
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FEATURED COMPANIES

  • Altiscale
  • CenturyLink
  • Cloudera
  • DueDil
  • MapR
  • OpenSignal
  • MORE

The Prime Focus of the Report:

  • Big Data and Analytics Market Challenges, Growth and Strategies, Big data Analytics and Business Intelligence Trends & Developments 2017-2022
  • Big Data Analytics Market Size in Telecom by Region, Big Data Analytics for Cloud, IoT 2017-2022
  • Big Data Analytics and Cloud Computing and Techniques of Big Data Privacy using MapReduce Architecture.
  • Global Big Data and Hadoop Market Size, Revenue, and Services Forecast from 2017-2026
  • Big Data Analytics Evolution and Acquisition, Future Trends of Big Data and Data Science
  • Next Generation AI, Big Data, and Cloud Change the Things and Big Data Top Players Overview with Market Evolution 2017-2022
  • Big Data Fraud, Privacy and Security Issues and Challenges, Future Trends in Big Data and Security
Note: Product cover images may vary from those shown
2 of 4

FEATURED COMPANIES

  • Altiscale
  • CenturyLink
  • Cloudera
  • DueDil
  • MapR
  • OpenSignal
  • MORE

1 Introduction
1.1 Executive Summary
 
2 Big Data in Telecom Industry forecast from 2017-2023
2.1 What is Big Data and Promise of big data for Telecom?
2.2 Big Data Use Case domains for MNOs
2.3 Big Data Telecom Analytics
2.3.1 Why Big Data and Analytics in Telecom
2.4 Big Data Challenges and Opportunities
2.5 Big Data and Telecom industry Strategies
2.6 Why Big Data Means Big Opportunities for Telecom Operators
2.7 Big Data Trends Driving Telecom Sector
2.8 Big Data will Improve Network and Application Intelligence in 5G
2.9 Benefits of Big Data for MNOs Value Chain
2.9.1 Challenges Faced by MNOs Operators
2.10 Key Technologies in Big Data 
2.10.1 Hadoop
2.10.2 MapReduce
2.10.3 HIVE
2.10.4 NoSQL Databases
2.10.5 Hortonworks
2.11 Scope of Big Data Implementation
2.11.1 Call Drop Analysis2
2.11.2 Network Analytics
2.11.3 Churn Prediction
2.11.4 Customer Segmentation
2.11.5 Predictive Campaign
2.11.6 Location-Based Services
2.12 A Successful Big Data strategy
2.13 Problem or Challenges associated with Big Data Processing
2.14 Different Challenging Big Data experiences to move forward
 
3 Big data Analytics and Business Intelligence Trends & Developments 2017-2022
3.1 Rise of Big Data and Data Analytics
3.2 Challenges for big data and Data Analytics
3.3 Step to get started with Big Data and Analytics
3.4 Value of Analytics and Big Data in digital transformation
3.5 Big Data and Analytics can Drive Profitability for MNOs
3.6 Big data Analytics Challenges and Implementation
3.6.1 Advantages of Big Data Analytics
3.6.2 Type of Big Data Analytics
3.6.3 Big Data Implementation
3.6.4 Big Data Implementation Challenges
3.6 Big data Analytics: Predictive vs. Prescriptive vs. Descriptive
3.7 Emergence and Growth of Big Data Analytics
3.7.1 Technologies and Tools
3.7.2 Uses and Challenges
3.8 The Advanced Analytics Market
3.8.1 Big Data and Advanced Analytics Tools
3.9 Big data Statistical Analysis Methods
3.10 Next Generation Big Thing: Big Data Analytics as a Service
3.10.1 What is Big Data Analytics as a Service (BDaaS)?
3.10.2 Types of BDaaS are Available
3.11 Data Socialization: Next Generation Big roadmap in Data Analytics
3.12 The Future of Big Data analytics in the Telecoms industry
3.13 New Trends in Business Intelligence and Big Data Analytics
3.14 Big Data Trends, Growth Drivers and Developments
 
4 Big Data Analytics for Cloud, IoT 2017-2022
4.1 Big Data Transformation in The Cloud
4.2 Big Data Cloud Challenges
4.3 Big Data Analytics in The Cloud
4.4 Big Data Analytic Frameworks in Cloud
4.5 Cloud Models for Big Data Processing and Storage
4.6 Cloud Ecosystem is Changing Toward Big Data Applications
4.6.1 Big Data Cloud Platform Architecture
4.6.2 A Big Data Processing Engine
4.7 Cloud-based Big Data and Analytics Solutions Business Drivers
4.8 Big data and Analytics Cloud Architecture
4.9 Why Hybrid Cloud for Big Data and Analytics
4.10 Primary Drivers For Big Data and Analytics in The hybrid cloud
4.11 Big Data and Analytics Deployment for Hybrid Cloud Strategy
4.12 Big Data Locations and Placement in Cloud Infrastructure
4.13 Factors to be considered implementing BDaaS on The cloud
4.14 Data Analytics for Social-Media Applications
4.14.1 Requirements in Social-Media Applications
4.14.2 Social Networks and Graph Analytics
4.14.3 Predictive Analytics Software Tools
4.14.4 Detection in Social Networks

5 Big Data Analytics and Cloud Computing for IoT 2017-2022
5.1 Hadoop and Big Data
5.1.1 Big Data Hadoop Distributions
5.1.2 Big Data Architecture and Distribution Architectures
5.1.3 Comparison Between distributions
5.2 Components and System of Hadoop
5.3 Hadoop Eco System Testing
5.3.1 Challenges and Best Practices
5.3.2 Testing Types
5.3.3 Hadoop Component Level Test Approach
5.3.4 Testing Hadoop in Cloud Environment
5.4 How MNOs using Big Data Hadoop to Handle Frauds
5.5 Techniques of Big Data Privacy using MapReduce Architecture
5.6 Big Data and the IoT
5.7 Big Data Analytics and Cloud Computing for IoT
5.8 Big Data Analytics for IoT
5.9 Cloud Computing, Big Data Analytics and IoT Convergence
5.10 IoT and Big Data Change the Platform for Buyer and Seller
5.11 Different Ways to Address the IoT Big Data Ecosystem
5.12 Challenges for IoT Big Data
5.13 Delivery of Big Data Services on Top of IoT
5.14 Architecture for IoT Big Data
5.15 Monetisation of the Various IoT/ Big Data Services
5.16 Scope of IoT Big Data Platform
 
6 Global Big Data and Hadoop Market Size, Revenue, and Services Forecast from 2017-2026
6.1 Global Big Data Market Revenue Forecast 2017-2026 (in Billion U.S. Dollars)
6.2 Global Big Data and Business Analytics Revenues in 2017, by Industry
6.3 Global Big Data and Business Analytics Revenues Forecast 2017-2022
6.4 Global Big Data Market Share in 2017, by Vendor
6.5 Big Data and Size of Hadoop Market Forecast 2017-2022 (in Billion U.S. Dollars)
6.6 Global Share of Big Data Revenue forecast 2017-2026 (in Billion U.S. Dollars)
6.7 Global Big Data Market Forecast From 2017-2026, by Segment (in Billion U.S. Dollars)
6.8 Big Data as a Service (BDaaS) global market forecast from 2017-2022 (in Billion U.S.Dollars)
6.9 Global Big Data Market Forecast from 2017-2022 (in Billion U.S. Dollars)
6.10 Global Big Data Software, Hardware & Corporate Services Forecast 2017-2026 (in Billion U.S.Dollars)
6.11 Big Data Analytics Market Size by Business Category 2017-2022 (in Billion U.S.Dollars)
6.12 Big Data & Analytic Telecom Market Forecast From 2017-2022 (in Billion U.S.Dollars)
6.13 Big Data Analytics Market Size in Telecom by Region (in Billion U.S.Dollars)
6.14 Big Data Market Forecast For Apps and Analytics 2017-2022 (in Billion U.S.Dollars)
6.15 Big Data and Business Analytics Revenue in Australia in 2017 to 2022 (In Million U.S.Dollars)
6.16 Big Data Services Market Size in Canada From 2017 to 2022 (in Million Canadian dollars)
 
7 Big Data innovative Data scientist and Application Overview
7.1 Big Data Analytics Evolution and Acquisition
7.2 Big Data Value Chain
7.3 Database Models and Data Quality Control
7.4 Big Data Preprocessing
7.5 Data Analytics Over the Cloud
7.6 Big Data Applications Overview
7.7 Machine Learning and Data Mining
7.8 Big Data Plays a important Role in Future Telecom Content Marketing
7.9 Big Data for M2M Networks
7.10 Future Trends of Big Data and Data Science
7.11 Innovative Data Scientist: Overcoming the Big Data

8 Big Data Top Players Overview with Market Evolution 2017-2022
8.1 Big Data Companies: The Leaders
8.1.1 CenturyLink
8.1.2 MapD Technologies
8.1.3 ShareThis
8.1.4 Conductrics
8.1.5 SQream
8.1.6 DueDil
8.1.7 Maroon.ai
8.1.8 Anodot
8.1.9 OpenSignal
8.1.10 Chain of Things
8.2 Top Hadoop Vendors Providing Big Data Solutions
8.2.1 Amazon Web Services
8.2.2 Cloudera
8.2.3 Hortonworks
8.2.4 Microsoft (google)
8.2.5 Altiscale
8.2.6 MapR
8.3 Most Powerful Big Data companies 2017-2022
8.4 Big Data Teles market Evolution in Latin American
8.5 World's Top 10 Telecommunications Companies in Big Data
8.5.1 China Mobile Ltd.
8.5.2 Verizon Communications Inc.
8.5.3 Vodafone Group plc
8.5.4 Deutsche Telekom AG
8.5.5 Telefonica S.A.
8.6 Case Studies of Big Data Analytics in Mobile Cellular Networks
8.6.1 Signaling Data
8.6.2 Traffic Data
8.6.3 Location Area
8.6.4 Radio Waveforms Data
8.6.5 Heterogenous Data
8.7 Strategies for Monetizing Big Data and How Operators Monetize Big Data?
8.8 Key Challenges For Monetizing Big Data
8.9 The Future Of Data Monetization
8.10 How will Big Data Companies Monetize Data?
8.11 Big Data for Mobile Apps
8.12 Big Data big for the app market?
8.13 Mobile application developers are betting on big data
 
9 Next Generation AI, Big Data, and Cloud Change The Things
9.1 Advantage of analytics, robotics, AI (artificial intelligence), Big Data, and machine learning
9.2 Convergence of Big Data and AI and The Future of This Convergence
9.3 Impact of Artificial Intelligence
9.4 Artificial Intelligence finds big value in big data
9.5 How Big Data Drives Artificial Intelligence
9.6 Privacy Challenges of Big Data and Artificial Intelligence
9.7 The key to success for big data and AI?
9.8 The Future of AI, Big Data, and Cloud
9.9 Why AI is More Important than Big Data for IoT Development
9.10 Attention are Changing by AI and Big Data
9.11 Top Steps of Big Data Analytics and AI in the Future
9.12 Big Data and Artificial Intelligence (AI) change the shape of Next Generation.

10 Big Data Fraud, Privacy and Security Issues and Challenges
10.1 Recent Advance Security Theories for Big Data
10.2 Big data for Security and Privacy
10.3 Comparative of Recent Trends in Big Data Security and Privacy
10.4 Reason for Security and Privacy Issues and Challenges in Big Data
10.5 Top Most Privacy risks of Big data and how to solve them
10.6 The Future: Trends in Big Data and Security
10.7 Big Data Telco Fraud Detection
10.8 Big Data For Fraud Detection
10.9 Big Data Security Method to Solve Fraud Activity
10.10 Big Data Future Scope and Development
10.11 Conclusion
 
List Of Tables

Table 1 Big Data: Variety and Volume
Table 2 Big Data Provide Benefits to Telecom Value Chain
Table 3 Big Data Analytic Frameworks in Cloud
Table 4 Cloud Services and representative Providers
Table 5 Shifting Traditional Big Data to BDaaS
Table 6 Commercial Predictive Analytics Software Systems
Table 7 Comparison distributions Big Data
Table 8 The Ecosystem of Hadoop
Table 9 Hadoop Components
Table 10 IoT Big Data Management Subsystem
Table 11 IoT Big data Layering Architecture
Table 12 Global Big Data Market Revenue Forecast 2017-2026 (in Billion U.S. Dollars)
Table 13 Global Big Data and Business Analytics Revenues in 2017, by Industry
Table 14 Global Big Data and Business Analytics Revenues Forecast 2017-2022
Table 15 Global Big Data Market Share in 2017, by Vendor
Table 16 Big Data and Size of Hadoop Market Forecast 2017-2022 (in Billion U.S. Dollars)
Table 17 Global Share of Big Data Revenue forecast 2017-2026 (in Billion U.S. Dollars)
Table 18 Big Data Market Forecast From 2017-2026, by Segment (in Billion U.S. Dollars)
Table 19 Big Data as a Service (BDaaS) global market forecast from 2017-2022 (in Billion U.S.Dollars)
Table 20 Global Big Data Market Forecast from 2017-2022 (in Billion U.S. Dollars)
Table 21 Global Big Data Software, Hardware & Corporate Services 2017-2026 (in Billion U.S.Dollars)
Table 22 Big Data Analytics Market Size by Business Category 2017-2022 (in Billion U.S.Dollars)
Table 23 Big Data & Analytic Telecom Market Forecast From 2017-2022 (in Billion U.S.Dollars)
Table 24 Big Data Analytics Market Size in Telecom by Region (in Billion U.S.Dollars)
Table 25 Big Data Market Forecast For Apps and Analytics 2017-2022 (in Billion U.S.Dollars)
Table 26 Big Data and Business Analytics Revenue in Australia in 2017 to 2022 (In Million U.S.Dollars)
Table 27 Big Data Services Market Size in Canada From 2017 to 2022 (in million Canadian dollars)
Table 28 Big Data Sources Growth in Data Size
Table 29 Quality of Data Control, representation and Database Operations
Table 30 Big Data Acquisition and Preprocessing Operations
Table 31 Application Categories of Big Data
Table 32 Latest Works in Big Data Security and Privacy
 
List Of Figures

Figure 1 Big data Analytics Framework
Figure 2 Challenges Faced By MNOs
Figure 3 Hadoop Importance in Data Architecture
Figure 7 Different Challenging Big Data
Figure 8 Big data Statistical Analysis Methods
Figure 9 key Features of Data Socialization
Figure 10 Architecture of a modern cloud system for big data
Figure 11 Cloud Architecture for a Big Data and Analytics Environment
Figure 12 IT Domain Systems important role in the Hybrid Cloud
Figure 13 Factors implementing BDaaS on the Cloud
Figure 14 Cloudera Distributions for Hadoop Platform
Figure 15 Hadoop Test Approach
Figure 16 Architecture for IoT Big Data
Figure 17 Evolve from Small Data to Big Data
Figure 18 Layered Development of Cloud Platform
Figure 19 Relation between Data mining and Machine learning
Figure 20 Big Signaling Data in Cellular Networks
Figure 21 Big Traffic Data in Mobile Cellular Network
Figure 22 Big location Data in Mobile Cellular Networks

List Of Charts

Chart 1 Global Big Data Market Revenue Forecast 2017-2026 (in Billion U.S. Dollars)
Chart 2 Global Big Data and Business Analytics Revenues in 2017, by Industry
Chart 3 Global Big Data and Business Analytics Revenues Forecast 2017-2022
Chart 4 Global Big Data Market Share in 2017, by Vendor
Chart 5 Big Data and Size of Hadoop Market Forecast 2017-2022 (in Billion U.S. Dollars)
Chart 6 Global Share of Big Data Revenue forecast 2017-2026 (in Billion U.S. Dollars)
Chart 7 Big Data Market Forecast From 2017-2026, by Segment (in Billion U.S. Dollars)
Chart 8 Big Data as a Service (BDaaS) global market forecast from 2017-2022 (in Billion U.S.Dollars)
Chart 9 Global Big Data Market Forecast from 2017-2022 (in Billion U.S. Dollars)
Figure 4 MapReduce Processing
Figure 5 NFV/SDN Environment
Figure 6 Big Data Successful Strategy
Chart 10 Global Big Data Software, Hardware & Corporate Services 2017-2026 (in Billion U.S.Dollars)
Chart 11 Big Data & Analytic Telecom Market Forecast From 2017-2022 (in Billion U.S.Dollars)
Chart 12 Big Data & Analytic Telecom Market Forecast From 2017-2022 (in Billion U.S.Dollars)
Chart 13 Big Data Analytics Market Size in Telecom by Region (in Billion U.S.Dollars)
Chart 14 Big Data Market Forecast For Apps and Analytics 2017-2022 (in Billion U.S.Dollars)
Chart 15 Big Data and Business Analytics Revenue in Australia in 2017 to 2022 (In Million U.S.Dollars)
Chart 16 Big Data Services Market Size in Canada From 2017 to 2022 (in million Canadian dollars)

Note: Product cover images may vary from those shown
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4 of 4
  • Altiscale
  • Amazon
  • Anodot
  • CenturyLink
  • Chain of Things
  • China Mobile Ltd.
  • Cloudera
  • Conductrics
  • Deutsche Telekom AG
  • DueDil
  • Hortonworks
  • MapD Technologies
  • MapR
  • Maroon.ai
  • Microsoft
  • OpenSignal
  • SQream
  • ShareThis
  • Telefonica S.A.
  • Verizon Communications Inc.
  • Vodafone Group plc
Note: Product cover images may vary from those shown
5 of 4
Note: Product cover images may vary from those shown
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