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【調査レポートセット】ビッグデータとクラウドコンピューティングのソリューション:サービス、ソフトウェア、プラットフォーム、インフラストラクチャーの市場概観 2017-2022年

Big Data and Cloud Computing Solutions: Market Outlook for Services, Software, Platforms, and Infrastructure 2017 - 2022

 

出版社 出版年月電子版価格 ページ数
Mind Commerce
マインドコマース
2017年8月US$2,995
シングルユーザライセンス
412

サマリー

米国調査会社マインドコマース(Mind Commerce)の下記の調査レポートのセット販売です。たいへんお得な価格設定です。

Overview:

The management of unstructured data (e.g. Big Data), the leveraging of analytics tools to derive value, and the integration between Cloud, Internet of Things (IoT), and enterprise operational technology are key focus areas for large companies across virtually every industry vertical.  A new data economy is developing in which the data associated with corporate products and services becomes almost as value as the company offerings themselves. New models are emerging to reduce friction across the value chain including enhanced Big Data as a Service (BDaaS) offerings. BDaaS is anticipated to make cross-industry, cross-company, and even cross-competitor data exchange a reality that adds value across the ecosystem with minimized security and privacy concerns.

Cloud Computing technology and the “as a service” business model is transforming Services, Platforms, and Infrastructure for the entire ICT ecosystem.  With the Everything as a Service (XaaS) model, leading apps such as Business Process, Communications, and Commerce/Payments may all be offered in a manner in which risk and CapEx are minimized while OpEx is logically scaled to business outcomes.  Distributed Cloud Computing is becoming increasingly important in both fixed and wireless networks. Mobile Edge Computing (MEC) in particular is anticipated to become a critically important aspect of Communication Service Provider operations.

This research provides an in-depth assessment of the global Big Data market, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry with forecasting from 2017 to 2022.  This research also evaluates the global cloud computing marketplace including centralized and distributed services, platforms, and infrastructure. The research also analyzes the market for cloud computing “as a service” across major industry verticals as well as carrier cloud services and market opportunities for cloud support of IoT networks and associated apps and services. It includes detailed forecasts for the aforementioned from 2017 – 2022

Target Audience:

  • IoT companies
  • Cloud SPI companies
  • Network service providers
  • API management companies
  • SDN and virtualization vendors
  • Systems integration companies
  • Big Data and Analytics companies
  • IT, data center, and CDN companies
  • Fixed and wireless infrastructure providers


目次

The Big Data Market: Business Case, Market Analysis and Forecasts 2017 – 2022

 

1 Background

1.1 Introduction

1.2 Scope of the Report

1.3 Target Audience

1.4 Companies in Report

2 Executive Summary

3 Big Data Technology and Business Case

3.1 Defining Big Data

3.2 Key Characteristics of Big Data

3.2.1 Volume

3.2.2 Variety

3.2.3 Velocity

3.2.4 Variability

3.2.5 Complexity

3.3 Big Data Technology

3.3.1 Hadoop

3.3.1.1 Other Apache Projects

3.3.2 NoSQL

3.3.2.1 Hbase

3.3.2.2 Cassandra

3.3.2.3 Mongo DB

3.3.2.4 Riak

3.3.2.5 CouchDB

3.3.3 MPP Databases

3.3.4 Others and Emerging Technologies

3.3.4.1 Storm

3.3.4.2 Drill

3.3.4.3 Dremel

3.3.4.4 SAP HANA

3.3.4.5 Gremlin & Giraph

3.4 New Paradigms and Techniques

3.4.1 Streaming Analytics

3.4.2 Cloud Technology

3.4.3 Google Search

3.4.4 Customize Analytical Tools

3.4.5 Internet Keywords

3.4.6 Gamification

3.5 Big Data Roadmap

3.6 Market Drivers

3.6.1 Data Volume & Variety

3.6.2 Increasing Adoption of Big Data by Enterprises and Telecom

3.6.3 Maturation of Big Data Software

3.6.4 Continued Investments in Big Data by Web Giants

3.6.5 Business Drivers

3.7 Market Barriers

3.7.1 Privacy and Security: The ‘Big’ Barrier

3.7.2 Workforce Re-skilling and Organizational Resistance

3.7.3 Lack of Clear Big Data Strategies

3.7.4 Technical Challenges: Scalability & Maintenance

3.7.5 Big Data Development Expertise

4 Key Sectors for Big Data

4.1 Industrial Internet and Machine-to-Machine

4.1.1 Big Data in M2M

4.1.2 Vertical Opportunities

4.2 Retail and Hospitality

4.2.1 Improving Accuracy of Forecasts & Stock Management

4.2.2 Determining Buying Patterns

4.2.3 Hospitality Use Cases

4.2.4 Personalized Marketing

4.3 Media

4.3.1 Social Media

4.3.2 Social Gaming Analytics

4.3.3 Usage of Social Media Analytics by Other Verticals

4.3.4 Internet Keyword Search

4.4 Utilities

4.4.1 Analysis of Operational Data

4.4.2 Application Areas for the Future

4.5 Financial Services

4.5.1 Fraud Analysis, Mitigation & Risk Profiling

4.5.2 Merchant-Funded Reward Programs

4.5.3 Customer Segmentation

4.5.4 Customer Retention & Personalized Product Offering

4.5.5 Insurance Companies

4.6 Healthcare and Pharmaceutical

4.6.1 Drug Development

4.6.2 Medical Data Analytics

4.6.3 Case Study: Identifying Heartbeat Patterns

4.7 Telecommunications

4.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization

4.7.2 Big Data Analytic Tools

4.7.3 Speech Analytics

4.7.4 New Products and Services

4.8 Government and Homeland Security

4.8.1 Big Data Research

4.8.2 Statistical Analysis

4.8.3 Language Translation

4.8.4 Developing New Applications for the Public

4.8.5 Tracking Crime

4.8.6 Intelligence Gathering

4.8.7 Fraud Detection & Revenue Generation

4.9 Other Sectors

4.9.1 Aviation

4.9.2 Transportation & Logistics: Optimizing Fleet Usage

4.9.3 Sports: Real-Time Processing of Statistics

4.9.4 Education

4.9.5 Manufacturing

5 The Big Data Value Chain

5.1 Fragmentation in the Big Data Value

5.2 Data Acquisitioning & Provisioning

5.3 Data Warehousing & Business Intelligence

5.4 Analytics & Visualization

5.5 Actioning and Business Process Management

5.6 Data Governance

6 Big Data Analytics

6.1 What is Big Data Analytics?

6.2 The Importance of Big Data Analytics

6.3 Reactive vs. Proactive Analytics

6.4 Technology and Implementation Approaches

6.4.1 Grid Computing

6.4.2 In-Database processing

6.4.3 In-Memory Analytics

6.4.4 Data Mining

6.4.5 Predictive Analytics

6.4.6 Natural Language Processing

6.4.7 Text Analytics

6.4.8 Visual Analytics

6.4.9 Association Rule Learning

6.4.10 Classification Tree Analysis

6.4.11 Machine Learning

6.4.12 Neural Networks

6.4.13 Multilayer Perceptron (MLP)

6.4.14 Radial Basis Functions

6.4.14.1 Support Vector Machines

6.4.14.2 Naïve Bayes

6.4.14.3 K-nearest Neighbors

6.4.15 Geospatial Predictive Modelling

6.4.16 Regression Analysis

6.4.17 Social Network Analysis

7 Standardization and Regulatory Initiatives

7.1 Cloud Standards Customer Council

7.2 National Institute of Standards and Technology

7.3 OASIS

7.4 Open Data Foundation

7.5 Open Data Center Alliance

7.6 Cloud Security Alliance

7.7 International Telecommunications Union

7.8 International Organization for Standardization

8 Global Markets and Forecasts for Big Data

8.1 Global Big Data Markets 2017 – 2022

8.2 Regional Markets for Big Data 2017 – 2022

8.3 Big Data Revenue by Product Segment 2017 – 2022

8.3.1 Database Management Systems

8.3.2 Big Data Integration Tools

8.3.3 Application Infrastructure and Middleware

8.3.4 Business Intelligence Tools and Analytics Platforms

8.3.5 Big Data in Professional Services

9 Key Players in the Big Data Market

9.1 Vendor Assessment Matrix

9.2 1010Data

9.3 Accenture

9.4 Actian Corporation

9.5 Amazon

9.6 Apache Software Foundation

9.7 APTEAN (Formerly CDC Software)

9.8 Booz Allen Hamilton

9.9 Bosch Software Innovations: Bosch IoT Suite

9.10 Capgemini

9.11 Cisco Systems

9.12 Cloudera

9.13 CRAY Inc.

9.14 Computer Science Corporation (CSC)

9.15 DataDirect Network

9.16 Dell

9.17 Deloitte

9.18 EMC

9.19 Facebook

9.20 Fujitsu

9.21 General Electric (GE)

9.22 GoodData Corporation

9.23 Google

9.24 Guavus

9.25 HP

9.26 Hitachi Data Systems

9.27 Hortonworks

9.28 IBM

9.29 Informatica

9.30 Intel

9.31 Jasper (Cisco Jasper)

9.32 Juniper Networks

9.33 Marklogic

9.34 Microsoft

9.35 MongoDB (Formerly 10Gen)

9.36 MU Sigma

9.37 Netapp

9.38 NTT Data

9.39 Open Text (Actuate Corporation)

9.40 Opera Solutions

9.41 Oracle

9.42 Pentaho

9.43 Qlik Tech

9.44 Quantum

9.45 Rackspace

9.46 Revolution Analytics

9.47 Salesforce

9.48 SAP

9.49 SAS Institute

9.50 Sisense

9.51 Software AG/Terracotta

9.52 Splunk

9.53 Sqrrl

9.54 Supermicro

9.55 Tableau Software

9.56 Tata Consultancy Services

9.57 Teradata

9.58 Think Big Analytics

9.59 TIBCO

9.60 Tidemark Systems

9.61 VMware (Part of EMC)

9.62 Wipro

9.63 Workday (Platfora)

9.64 Zettics

10 Appendix: Big Data Support of Streaming IoT Data

10.1 Big Data Technology Market Outlook for Streaming IoT Data

10.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise

10.1.2 IoT Data becomes a Big Data Revenue Opportunity

10.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity

10.2 Global Streaming IoT Data Analytics Revenue

10.2.1 Overall Streaming Data Analytics Revenue for IoT

10.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services

10.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals

10.2.3.1 Streaming IoT Data Analytics Revenue in Retail

10.2.3.1.1 Streaming IoT Data Analytics Revenue by Retail Segment

10.2.3.1.2 Streaming IoT Data Analytics Retail Revenue by App, Software, and Service

10.2.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT

10.2.3.2.1 Streaming IoT Data Analytics Revenue by Telecom and IT Segment

10.2.3.2.2 Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service

10.2.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility

10.2.3.3.1 Streaming IoT Data Analytics Revenue by Energy and Utility Segment

10.2.3.3.2 Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service

10.2.3.4 Streaming IoT Data Analytics Revenue in Government

10.2.3.4.1 Streaming IoT Data Analytics Revenue by Government Segment

10.2.3.4.2 Streaming IoT Data Analytics Government Revenue by App, Software, and Service

10.2.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science

10.2.3.5.1 Streaming IoT Data Analytics Revenue by Healthcare Segment

10.2.3.6 Streaming IoT Data Analytics Revenue in Manufacturing

10.2.3.6.1 Streaming IoT Data Analytics Revenue by Manufacturing Segment

10.2.3.6.2 Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service

10.2.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics

10.2.3.7.1 Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment

10.2.3.7.2 Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service

10.2.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance

10.2.3.8.1 Streaming IoT Data Analytics Revenue by Banking and Finance Segment

10.2.3.8.2 Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service

10.2.3.9 Streaming IoT Data Analytics Revenue in Smart Cities

10.2.3.9.1 Streaming IoT Data Analytics Revenue by Smart City Segment

10.2.3.10 Streaming IoT Data Analytics Revenue in Automotive

10.2.3.10.1 Streaming IoT Data Analytics Revenue by Automobile Industry Segment

10.2.3.10.2 Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service

10.2.3.11 Streaming IoT Data Analytics Revenue in Education

10.2.3.11.1 Streaming IoT Data Analytics Revenue by Education Industry Segment

10.2.3.11.2 Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service

10.2.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services

10.2.3.12.1 Streaming IoT Data Analytics Revenue by Outsourcing Segment

10.2.3.12.2 Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service

10.2.3.13 Streaming IoT Data Analytics Revenue by Leading Vendor Platform

10.3 Regional Streaming IoT Data Analytics Revenue

10.3.1 Revenue in Region

10.3.2 APAC Market Revenue

10.3.3 Europe Market Revenue

10.3.4 North America Market Revenue

10.3.5 Latin America Market Revenue

10.3.6 ME&A Market Revenue

10.4 Streaming IoT Data Analytics Revenue by Country 2016 – 2021

10.4.1 Revenue by APAC Countries

10.4.1.1 Leading Countries

10.4.1.2 Japan Market Revenue

10.4.1.3 China Market Revenue

10.4.1.4 India Market Revenue

10.4.1.5 Australia Market Revenue

10.4.2 Revenue by Europe Countries

10.4.2.1 Leading Countries

10.4.2.2 Germany Market Revenue

10.4.2.3 UK Market Revenue

10.4.2.4 France Market Revenue

10.4.3 Revenue by North America Countries

10.4.3.1 Leading Countries

10.4.3.2 US Market Revenue

10.4.3.3 Canada Market Revenue

10.4.4 Revenue by Latin America Countries

10.4.4.1 Leading Countries

10.4.4.2 Brazil Market Revenue

10.4.4.3 Mexico Market Revenue

10.4.5 Revenue by ME&A Countries

10.4.5.1 Leading Countries

10.4.5.2 South Africa Market Revenue

10.4.5.3 UAE Market Revenue

 

Figures

Figure 1: Key Characteristics of Big Data

Figure 2: NoSQL vs Legacy DB Performance Comparisons

Figure 3: Roadmap Big Data Technologies 2016 - 2030

Figure 4: The Big Data Value Chain

Figure 5: Big Data Value Flow

Figure 6: Big Data Analytics

Figure 7: Global Big Data Markets 2017 – 2022

Figure 8: Regional Big Data Markets 2017 – 2022

Figure 9: Database Management Systems 2017 – 2022

Figure 10: Data Integration and Quality Tools 2017 – 2022

Figure 11: Application Infrastructure and Middleware 2017 – 2022

Figure 12: Business Intelligence Tools and Analytics Platforms 2017 – 2022

Figure 13: Big Data in Professional Services 2017 – 2022

Figure 14: Big Data Vendor Ranking Matrix

Figure 15: Streaming IoT Data Sources Compared

Figure 16: Overall Streaming IoT Data Analytics 2016 - 2021

 

Tables

TABLE 1: Global Big Data Markets 2017 – 2022

TABLE 2: Regional Big Data Markets 2017 – 2022

TABLE 3: Big Data Markets by Product Segments 2017 – 2022

TABLE 4: Database Management Systems 2017 – 2022

TABLE 5: Data Integration Tools 2017 – 2022

TABLE 6: Application Infrastructure and Middleware 2017 – 2022

TABLE 7: Business Intelligence Tools and Analytics Platforms 2017 – 2022

TABLE 8: Big Data in Professional Services 2017 – 2022

TABLE 9: Big Data Analytics Platforms by Company

Table 10: Global Streaming IoT Data Analytics Revenue by App, Software, and Service 2016 - 2021

Table 11: Global Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 12: Retail Streaming IoT Data Analytics Revenue by Retail Segment 2016 - 2021

Table 13: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 14: Telecom & IT Streaming IoT Data Analytics Rev by Segment 2016 – 2021

Table 15: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services 2016 – 2021

Table 16: Energy & Utilities Streaming IoT Data Analytics Rev by Segment 2016 – 2021

Table 17: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services 2016 – 2021

Table 18: Government Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 19: Government Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 20: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 21: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 22: Manufacturing Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 23: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 24: Transportation & Logistics Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 25: Transportation & Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 26: Banking and Finance Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 27: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 28: Smart Cities Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 29: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 30: Automotive Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 31: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services 2016 – 2021

Table 32: Education Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 33: Education Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 34: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment 2016 – 2021

Table 35: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services 2016 – 2021

Table 36: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021

Table 37: Streaming IoT Data Analytics Revenue in Region 2016 – 2021

Table 38: APAC Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021

Table 39: APAC Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021

Table 40: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021

Table 41: Europe Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021

Table 42: Europe Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021

Table 43: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021

Table 44: North America Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021

Table 45: North America Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021

Table 46: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021

Table 47: Latin America Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021

Table 48: Latin America Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021

Table 49: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 – 2021

Table 50: ME&A Streaming IoT Data Analytics Revenue by Solution and Services 2016 - 2021

Table 51: ME&A Streaming IoT Data Analytics Revenue in Industry Vertical 2016 - 2021

Table 52: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms 2016 - 2021

Table 53: Streaming IoT Data Analytics Revenue by APAC Countries 2016 – 2021

Table 54: Japan Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 55: Japan Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 56: China Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 57: China Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 58: India Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 59: India Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 60: Australia Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 61: Australia Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 62: Streaming IoT Data Analytics Revenue by Europe Countries 2016 – 2021

Table 63: Germany Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 64: Germany Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 65: UK Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 66: UK Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 67: France Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 68: France Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 69: Streaming IoT Data Analytics Revenue by North America Countries 2016 – 2021

Table 70: US Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 71: US Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 72: Canada Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 73: Canada Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 74: Streaming IoT Data Analytics Revenue by Latin America Countries 2016 – 2021

Table 75: Brazil Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 76: Brazil Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 77: Mexico Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 78: Mexico Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 79: Streaming IoT Data Analytics Revenue by ME&A Countries 2016 – 2021

Table 80: South Africa Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 81: South Africa Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

Table 82: UAE Streaming IoT Data Analytics Revenue by Solution and Services 2016 – 2021

Table 83: UAE Streaming IoT Data Analytics Revenue in Industry Vertical 2016 – 2021

 

 

Cloud Computing Services, Platforms, Infrastructure and Everything as a Service 2017 – 2022

 

1 Executive Summary

2 Introduction

2.1 Overview

2.2 Study Scope

2.3 Target Audience

2.4 Key Companies Report

2.5 Global Cloud Computing Market Outlook

3 Cloud Computing Technology and Markets

3.1 Business Value Proposition

3.2 Cloud Computing Ecosystem

3.3 Telecom in Cloud Computing

3.4 Cloud Computing Market Segmentation

3.5 Cloud Computing Market Growth Drivers

4 Global Cloud Computing Market Outlook

4.1 Global Cloud Computing Revenue 2017 - 2022

4.2 Revenue by Cloud Computing Deployment Type

4.3 Global Cloud Revenue by Software, Platform, and Infrastructure

4.3.1 Global Cloud Computing IaaS Revenue by Sub-segment 2017 - 2022

4.3.2 Global Cloud Computing SaaS Revenue by Sub-segment 2017 - 2022

4.3.3 Global Cloud Computing PaaS Revenue by Sub-segment 2017 - 2022

4.4 Global Cloud Services Revenue 2017 - 2022

4.4.1 Cloud Based Business Process as a Service

4.4.2 Cloud Data Migration Services

4.4.3 Cloud Based Advertising

4.4.4 Cloud Based Payments

4.4.5 Cloud Based Data as a Service

4.4.6 Cloud Based Communication as a Service

4.5 Regional Cloud Computing Market Outlook

4.5.1 North American Cloud Computing Market

4.5.2 Western European Cloud Computing Market

4.5.3 China Cloud Computing Market

4.6 Global Cloud Computing Revenue by Industry Vertical 2017 – 2022

4.6.1 Global Cloud Computing Revenue in Government Sector 2017 - 2022

4.6.2 Global Cloud Computing Revenue in Financial Sector 2017 - 2022

4.6.3 Global Cloud Computing Revenue in Healthcare 2017 - 2022

4.6.4 Global Cloud Computing Revenue in Retail Sector 2017 - 2022

4.6.5 Global Cloud Computing Revenue in Manufacturing 2017 - 2022

4.6.6 Global Cloud Computing Revenue in Automobile Sector 2017 - 2022

4.6.7 Global Cloud Computing Revenue in Agriculture 2017 - 2022

5 Cloud Services in IoT

5.1 IoT Overview

5.1.1 IoT will Drive Massive Data Storage and Processing Needs

5.1.2 Processing Cloud IoT Data

5.1.3 Dealing with Centralized Storage and Decentralized Processing

5.1.4 Data Security and Personal Information Privacy are the Biggest Hurdles

5.1.5 Enhanced Tools needed for Machine Generated Data in IoT

5.1.6 Cloud Data Management for IoT Devices

5.2 Leading Vendors in IoT Cloud Computing

5.3 Cloud Computing in IoT Market Outlook

6 Carrier Cloud Services

6.1 Overview

6.2 Carrier Clouds

6.3 Mobile Edge Computing

6.3.1 MEC Benefits to Carriers

6.3.2 Commercialization of MEC

6.4 Carrier Cloud Market Outlook

6.4.1 Global Carrier Cloud Revenue 2017 - 2022

6.4.2 Carrier Cloud Revenue by Region 2017 - 2022

6.4.3 Global Carrier Cloud Revenue by Industry Vertical 2017 - 2022

6.4.4 Global Carrier Cloud Revenue by Services and Solutions 2017 - 2022

6.4.5 Carrier Distributed Computing Market

6.4.6 Global MEC Enabled Application Revenue 2017 - 2022

7 Important Cloud Computing Industry Developments

7.1 Recent Cloud Computing Mergers and Acquisitions

7.2 Recent Cloud Computing Investments

8 Appendix: Fundamentals of Cloud Computing

8.1 Cloud Computing Deployment Model Categories

8.2 Cloud Technologies and Architecture

8.3 Cloud Computing and Virtualization

8.4 Moving Beyond Cloud Computing

8.5 Rise of the Cloud-Based Networked Enterprise

8.6 General Cloud Service Enablers

8.6.1 Wireless Broadband Connectivity

8.6.2 Security Solutions

8.6.3 Presence and Location

8.7 Personal Cloud Service Enablers

8.7.1 Identity Management

8.7.2 Preference Management

8.8 Cloud Computing Services

8.8.1 Infrastructure as a Service (IaaS)

8.8.2 Platform as a Service (PaaS)

8.8.3 Software as a Service (SaaS)

8.8.3.1 Differences between IaaS, SaaS, and PaaS

8.9 Emerging Models: XaaS (Everything as a Service)

8.9.1 Business Process as a Service (BPaaS)

8.9.2 Communication as a Service (CaaS)

8.9.3 Monitoring as a Service (MaaS)

8.9.4 Network-as-a-service (NaaS)

8.9.5 Storage as a Service (SaaS)

8.10 APIs and Database

8.11 The Need for Federated Database Model

8.12 Enterprise Resource Planning (ERP) in the Cloud

8.13 Supply Chain Management in the Cloud

8.14 Emerging Cloud Based Applications

8.14.1 B2B Applications

8.14.2 B2C Applications

8.14.3 Entertainment in the Cloud: TV, Video, Gaming and More

8.15 Cloud Myths and Realities

9 Appendix: MEC Technology and Solutions

9.1 MEC Characteristics

9.1.1 Processing at the Edge

9.1.2 Low Latency Network

9.1.3 Context Based Service

9.1.4 Location Service and Analytics

9.2 Benefits of MEC

9.2.1 MEC Business Benefits

9.2.2 Technical Benefits

9.2.3 Communication Service Provider Specific Benefits

9.3 MEC Architecture and Platforms

9.3.1 MEC Platform Architecture and Building Blocks

9.3.1.1 MEC Infrastructure

9.3.1.2 MEC Application Platform

9.3.1.3 MEC Management Framework

9.3.2 MEC Value Chain for Edge Cloud

9.4 MEC Technology and Building Blocks

9.4.1 Radio Network Information Service

9.4.2 Traffic Offload Function

9.4.3 Interface

9.4.4 Configuration Management

9.4.5 Application Lifecycle Management

9.4.6 Hardware Virtualization and Infrastructure Management System

9.4.7 Core Network Elements

 

Figures

Figure 1: Cloud Computing Enterprise Applications

Figure 2: Cloud Computing Market Segmentation

Figure 3: Global Cloud Computing Revenue 2017 - 2022

Figure 4: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2017 - 2022

Figure 5: Global Cloud Services Revenue 2017 - 2022

Figure 6: Cloud Computing Revenue by Region 2017 - 2022

Figure 7: Global Cloud Computing Revenue in Government Sector 2017 - 2022

Figure 8: Global Cloud Computing Revenue in Financial Sector 2017 - 2022

Figure 9: Global Cloud Computing Revenue in Healthcare 2017 - 2022

Figure 10: Global Cloud Computing Revenue in Retail Sector 2017 - 2022

Figure 11: Global Cloud Computing Revenue in Manufacturing 2017 - 2022

Figure 12: Global Cloud Computing Revenue in Automobile Sector 2017 - 2022

Figure 13: Global Cloud Computing Revenue in Agriculture 2017 - 2022

Figure 14: Cloud Based IoT Data Processing

Figure 15: Distributed Cloud IoT Data Architecture

Figure 16: IoT Data will NOT be Simply Stored in the Cloud

Figure 17: Real-time IoT Data Management and Analytics

Figure 18: Security in IoT Data Architecture

Figure 19: Cloud Computing Architecture

Figure 20: Server Virtualization Architecture

Figure 21: Deployment Ratio of by Categories of SaaS Application

Figure 22: Difference between IaaS, PaaS, and SaaS

Figure 23: Cloud Services and APIs

Figure 24: Cloud ERP vs. On-premise ERP

Figure 25: SCM Cloud Structure

 

Tables

Table 1: Global Cloud Computing Revenue 2017 - 2022

Table 2: Revenue by Cloud Computing Deployment Type

Table 3: Global Cloud Computing Revenue by SaaS, PaaS, and IaaS 2017 - 2022

Table 4: Global Cloud Computing IaaS by Sub-segment 2017 - 2022

Table 5: Global Cloud Computing SaaS Revenue by Sub-segment 2017 - 2022

Table 6: Global Cloud Computing PaaS Revenue by Sub-segment 2017 - 2022

Table 7: Global Cloud Services Revenue 2017 - 2022

Table 8: Global Revenues for Cloud Services by sub-segments 2022

Table 9: Cloud Computing Revenue by Region 2017 - 2022

Table 10: Global Cloud Computing Revenue by Industry Vertical 2017 - 2022

Table 11: Global Cloud Computing Revenue in Government Sector 2017 - 2022

Table 12: Global Cloud Computing Revenue in Financial Sector 2017 - 2022

Table 13: Global Cloud Computing Revenue in Healthcare 2017 - 2022

Table 14: Global Cloud Computing Revenue in Retail Sector 2017 - 2022

Table 15: Global Cloud Computing Revenue in Manufacturing 2017 - 2022

Table 16: Global Cloud Computing Revenue in Automobile Sector 2017 - 2022

Table 17: Global Cloud Computing Revenue in Agriculture 2017 - 2022

Table 18: Global Carrier Cloud Revenue 2017 - 2022

Table 19: Carrier Cloud Revenue by Region 2017 - 2022

Table 20: Global Carrier Cloud Revenue by Industry Vertical 2017 - 2022

Table 21: Global Carrier Cloud Revenue by Services and Solutions 2017 - 2022

Table 22: Global Revenues for Centralized Carrier Cloud Services 2017 - 2022

Table 23: Global MEC Revenue by Application 2017 - 2022

 

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