Cloud Backup Markets: Market Shares, Strategies, and Forecasts, Worldwide, 2018 to 2024
LEXINGTON, Massachusetts (March 8, 2018) – WinterGreen Research announces that it has published a new study Cloud Backup Markets: Market Shares, Strategy, and Forecasts, worldwide, 2018 to 2024.
The 2018 study has 185 pages, 90 tables and figures.
Worldwide markets are poised to achieve continuing growth as Cloud Backup markets respond to the advantages brought by mega data centers for cloud computing. The quality and the customization of mega data centers are significant market growth drivers. Automation of process is a key efficiency tool. Worldwide Cloud Backup has many applications: IoT, the Internet of things is the largest. Self-driving cars, drones, robots, artificial intelligence, and data center core storage.
Cloud-backup markets get really, really big by 2024, $190.5 billion. The reason is that all computing moves to the cloud and all smart devices and IoT store data in the cloud. Augmented reality, self-driving cars, robots, drones all generate significant amounts of data from small smart devices and processors inside things. That data gets stored in the cloud. This data is manipulated with analytics and accessed as information from many different sources.
With 2 trillion IoT processors and devices anticipated to be in place by 2024, there is a lot of data generated on a daily basis. While not all of it is stored or backed up, a lot of the data needs to be used again in analytics, hence the growth of cloud storage markets. Once the data is stored, it can be accessed again and used, which is a back-up function.
Worldwide, the Cloud Backup market at $21.7 billion market in 2017, is expected to reach $190.5 billion by 2024. Growth is a result of the implementation of the digital economy. Geographically, this report is split into the US, Europe, Asia, the Middle East and Africa.
WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca, Research and Markets, and Report Linker.
WinterGreen Research is positioned to help customers facing challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust wintergreen research to work alongside them to ensure the success of the participation in a particular market segment.
WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments. It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally. These are all vital market research support solutions requiring trust and integrity.
The 2018 study has 185 pages, 90 tables and figures.
Worldwide markets are poised to achieve continuing growth as Cloud Backup markets respond to the advantages brought by mega data centers for cloud computing. The quality and the customization of mega data centers are significant market growth drivers. Automation of process is a key efficiency tool. Worldwide Cloud Backup has many applications: IoT, the Internet of things is the largest. Self-driving cars, drones, robots, artificial intelligence, and data center core storage.
Cloud-backup markets get really, really big by 2024, $190.5 billion. The reason is that all computing moves to the cloud and all smart devices and IoT store data in the cloud. Augmented reality, self-driving cars, robots, drones all generate significant amounts of data from small smart devices and processors inside things. That data gets stored in the cloud. This data is manipulated with analytics and accessed as information from many different sources.
With 2 trillion IoT processors and devices anticipated to be in place by 2024, there is a lot of data generated on a daily basis. While not all of it is stored or backed up, a lot of the data needs to be used again in analytics, hence the growth of cloud storage markets. Once the data is stored, it can be accessed again and used, which is a back-up function.
Worldwide, the Cloud Backup market at $21.7 billion market in 2017, is expected to reach $190.5 billion by 2024. Growth is a result of the implementation of the digital economy. Geographically, this report is split into the US, Europe, Asia, the Middle East and Africa.
WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca, Research and Markets, and Report Linker.
WinterGreen Research is positioned to help customers facing challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust wintergreen research to work alongside them to ensure the success of the participation in a particular market segment.
WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments. It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally. These are all vital market research support solutions requiring trust and integrity.
Abstract: Cloud Back-up Markets Grow as The Enterprise Moves from Data Center to Cloud
CLOUD BACK-UP EXECUTIVE SUMMARY
Cloud Back-up Market Forecasts, SMB and Smart Devices
1. CLOUD BACK-UP: MARKET DESCRIPTION AND MARKET DYNAMICS
1.1 Cloud Back-up
1.2 High-Performance Switches Implement Software Defined Data Center
2. CLOUD BACK-UP MARKET SHARES AND FORECASTS
2.1 Cloud Back-up Market Driving Forces
2.1.1 Value of Cloud Back-Up Companies Is the Customer Base That Can be Converted to Cloud
2.2 Cloud Back-up Market Shares
2.3 Cloud Back-up Market Forecasts
2.3.1 Cloud Back-up Market Segments Analysis CSP, MSP, and Telco, 2012- 2017
2.4 Cloud Back-up Pricing
2.5 Cloud Back-up and Storage for Private, Public, and Hybrid Market Sectors
2.5.1 Private Cloud
2.5.2 Public Cloud
2.5.3 Hybrid Cloud
2.5.4 Social Media Always on Data Centers
2.6 Cloud Back-up Regional Market Segments
3. CLOUD BACK-UP PRODUCT DESCRIPTION
3.1 Amazon
3.1.1 Amazon Business
3.1.2 Amazon Competition
3.1.3 Amazon Description
3.1.4 Amazon Fault Tolerance and Redundancy Solutions
3.2 Goldman Sachs Open Compute Project
3.3 Robust, Quality Cloud Computing
3.4 Networking Performance
3.4.1 Scalable Infrastructure Data Management Component Application Segments
3.4.2 Internet Has Grown by a Factor of 100 Over The Past 10 Years
3.4.3 Realigning Data Center Cost Structures
3.4.4 IT Relies On Replacing Virtual Machine: VM Virtualization
3.4.5 Microservices
3.4.6 Microservices Features
3.4 7 Microservices Modules
3.4.8 Difficulties with Virtual Machines
3.4.9 Hypervisor a Difficulty
3.4.10 Virtual Machines Use Bare Metal, Containers Use Orchestration Software
3.4.11 Bare Metal an Inefficient Use of Compute Resource
3.4.12 Bare Metal Less Efficient
3.4.13 Industry Uses Robots Because Manual Labor Is Slow And Error Prone
3.4.14 IT processes Replace Manual Labor
3.4.15 Mega Data Center Orchestration Software
4 CLOUD BACK-UP RESEARCH AND TECHNOLOGY
4.1 Enterprise IT Control Centers
4.2 Open Compute Project (OCP)
4.2.1 Microsoft Investment in Open Compute
4.2.2 Microsoft Leverages Open Compute Project to Bring Benefit to Enterprise Customers
4.3 Open Source Foundation
4.3.1 OSPF Neighbor Relationship Over Layer 3 MPLS VPN
4.4 Dynamic Systems
4.4.1 Robust, Enterprise-Quality Fault Tolerance
4.5 Cache/Queue
4.6 Multicast
4.7 Performance Optimization
4.8 Fault Tolerance
4.8.1 Gateways
4.8.2 Promise Of Web Services
5 CLOUD BACK-UP COMPANY PROFILES
5.1 Acronis International GmbH
5.2 Alphabet/Google
5.2.1 Google Switches Provide Scale-Out: Server And Storage Expansion
5.2.2 Google Uses Switches and Routers Deployed in Fabrics
5.2.3 Google Mega Data Center Multipathing
5.2.4 Google Mega Data Center Multipathing: Routing Destinations
5.2.5 Google Clos Topology Network Capacity Scalability
5.3 Apple
5.3.1 Apple Technology For Self-Driving Cars
5.3.2 Apple Artificial Intelligence (AI) Technology
5.4 Asigra
5.4.1 Asigra Revenue
5.5 AWS/Amazon
5.5.1 AWS
5.6 Barracuda Networks
5.6.1 Barracuda Q3 Total Revenue Grew To $94.7 Million
5.6.2 Definitive Agreement To Be Acquired By Leading Private Equity Investment Firm Thoma Bravo, LLC
5.6.3 Barracuda Networks Third Quarter 2018 Revenue
5.7 Carbonite
5.7.1 Carbonite SMB Target Markets
5.7.2 Carbonite Offerings
5.8 Code42 Software
5.9 Datto/Autotask
5.9.1 Datto Acquisition by Vista Equity Partners
5.9.2 Autotask
5.9.3 Datto Hardware-Based On-Site And Offsite Backup, Disaster Recovery And Business Continuity Services
5.9.4 Datto/Autotask
5.10 Druva Software Leverages AWS
5.10.1 Druva 2017 Growth
5.10.2 Druva
5.11 Efolder
5.4 Facebook Pods
5.4.1 Facebook Sample Pod: Unit of Network
5.5 IBM
5.6 Intel
5.6.1 Intel Premier Computer Chip Maker
5.6.2 Intel Buys Mobileye
5.12 Iron Mountain
5.13 Microsoft
5.13.1 Microsoft .Net Dynamically Defines Reusable Modules
5.13.2 Microsoft Combines Managed Modules into Assemblies
5.15.3 Microsoft Architecture Dynamic Modular Processing
5.15.4 Microsoft Builds Azure Cloud Data Centers in Canada
5.15.5 Microsoft Dublin Cloud 2.0 mega data center
5.15.6 Microsoft Data Center Largest in U.S.
5.15.7 Microsoft Crafts Homegrown Linux For Azure Switches
5.15.8 Microsoft Azure Cloud Switch
5.15.9 Microsoft Azure CTO Cloud Building
5.15.10 Microsoft Cloud 2.0 Mega Data Center Multi-Tenant Containers
5.15.11 Microsoft Managed Clustering and Container Management: Docker and Mesos
5.15.12 Kubernetes From Google or Mesos
5.15.13 Microsoft Second Generation Open Cloud Servers
5.15.14 Azure Active Directory
5.15.15 Microsoft Azure Stack Platform Brings The Suite Of Azure Services To The Corporate Datacenter
5.15.16 Hardware Foundation For Microsoft Azure Stack
5.16 Veeam Software
6 SUMMARY AND CONCLUSIONS
6.15 State-Of-The-Art Global Infrastructure
WINTERGREEN RESEARCH,
WinterGreen Research Methodology
WinterGreen Research Process
Market Research Study
WinterGreen Research Global Market Intelligence Company
CLOUD BACK-UP EXECUTIVE SUMMARY
Cloud Back-up Market Forecasts, SMB and Smart Devices
1. CLOUD BACK-UP: MARKET DESCRIPTION AND MARKET DYNAMICS
1.1 Cloud Back-up
1.2 High-Performance Switches Implement Software Defined Data Center
2. CLOUD BACK-UP MARKET SHARES AND FORECASTS
2.1 Cloud Back-up Market Driving Forces
2.1.1 Value of Cloud Back-Up Companies Is the Customer Base That Can be Converted to Cloud
2.2 Cloud Back-up Market Shares
2.3 Cloud Back-up Market Forecasts
2.3.1 Cloud Back-up Market Segments Analysis CSP, MSP, and Telco, 2012- 2017
2.4 Cloud Back-up Pricing
2.5 Cloud Back-up and Storage for Private, Public, and Hybrid Market Sectors
2.5.1 Private Cloud
2.5.2 Public Cloud
2.5.3 Hybrid Cloud
2.5.4 Social Media Always on Data Centers
2.6 Cloud Back-up Regional Market Segments
3. CLOUD BACK-UP PRODUCT DESCRIPTION
3.1 Amazon
3.1.1 Amazon Business
3.1.2 Amazon Competition
3.1.3 Amazon Description
3.1.4 Amazon Fault Tolerance and Redundancy Solutions
3.2 Goldman Sachs Open Compute Project
3.3 Robust, Quality Cloud Computing
3.4 Networking Performance
3.4.1 Scalable Infrastructure Data Management Component Application Segments
3.4.2 Internet Has Grown by a Factor of 100 Over The Past 10 Years
3.4.3 Realigning Data Center Cost Structures
3.4.4 IT Relies On Replacing Virtual Machine: VM Virtualization
3.4.5 Microservices
3.4.6 Microservices Features
3.4 7 Microservices Modules
3.4.8 Difficulties with Virtual Machines
3.4.9 Hypervisor a Difficulty
3.4.10 Virtual Machines Use Bare Metal, Containers Use Orchestration Software
3.4.11 Bare Metal an Inefficient Use of Compute Resource
3.4.12 Bare Metal Less Efficient
3.4.13 Industry Uses Robots Because Manual Labor Is Slow And Error Prone
3.4.14 IT processes Replace Manual Labor
3.4.15 Mega Data Center Orchestration Software
4 CLOUD BACK-UP RESEARCH AND TECHNOLOGY
4.1 Enterprise IT Control Centers
4.2 Open Compute Project (OCP)
4.2.1 Microsoft Investment in Open Compute
4.2.2 Microsoft Leverages Open Compute Project to Bring Benefit to Enterprise Customers
4.3 Open Source Foundation
4.3.1 OSPF Neighbor Relationship Over Layer 3 MPLS VPN
4.4 Dynamic Systems
4.4.1 Robust, Enterprise-Quality Fault Tolerance
4.5 Cache/Queue
4.6 Multicast
4.7 Performance Optimization
4.8 Fault Tolerance
4.8.1 Gateways
4.8.2 Promise Of Web Services
5 CLOUD BACK-UP COMPANY PROFILES
5.1 Acronis International GmbH
5.2 Alphabet/Google
5.2.1 Google Switches Provide Scale-Out: Server And Storage Expansion
5.2.2 Google Uses Switches and Routers Deployed in Fabrics
5.2.3 Google Mega Data Center Multipathing
5.2.4 Google Mega Data Center Multipathing: Routing Destinations
5.2.5 Google Clos Topology Network Capacity Scalability
5.3 Apple
5.3.1 Apple Technology For Self-Driving Cars
5.3.2 Apple Artificial Intelligence (AI) Technology
5.4 Asigra
5.4.1 Asigra Revenue
5.5 AWS/Amazon
5.5.1 AWS
5.6 Barracuda Networks
5.6.1 Barracuda Q3 Total Revenue Grew To $94.7 Million
5.6.2 Definitive Agreement To Be Acquired By Leading Private Equity Investment Firm Thoma Bravo, LLC
5.6.3 Barracuda Networks Third Quarter 2018 Revenue
5.7 Carbonite
5.7.1 Carbonite SMB Target Markets
5.7.2 Carbonite Offerings
5.8 Code42 Software
5.9 Datto/Autotask
5.9.1 Datto Acquisition by Vista Equity Partners
5.9.2 Autotask
5.9.3 Datto Hardware-Based On-Site And Offsite Backup, Disaster Recovery And Business Continuity Services
5.9.4 Datto/Autotask
5.10 Druva Software Leverages AWS
5.10.1 Druva 2017 Growth
5.10.2 Druva
5.11 Efolder
5.4 Facebook Pods
5.4.1 Facebook Sample Pod: Unit of Network
5.5 IBM
5.6 Intel
5.6.1 Intel Premier Computer Chip Maker
5.6.2 Intel Buys Mobileye
5.12 Iron Mountain
5.13 Microsoft
5.13.1 Microsoft .Net Dynamically Defines Reusable Modules
5.13.2 Microsoft Combines Managed Modules into Assemblies
5.15.3 Microsoft Architecture Dynamic Modular Processing
5.15.4 Microsoft Builds Azure Cloud Data Centers in Canada
5.15.5 Microsoft Dublin Cloud 2.0 mega data center
5.15.6 Microsoft Data Center Largest in U.S.
5.15.7 Microsoft Crafts Homegrown Linux For Azure Switches
5.15.8 Microsoft Azure Cloud Switch
5.15.9 Microsoft Azure CTO Cloud Building
5.15.10 Microsoft Cloud 2.0 Mega Data Center Multi-Tenant Containers
5.15.11 Microsoft Managed Clustering and Container Management: Docker and Mesos
5.15.12 Kubernetes From Google or Mesos
5.15.13 Microsoft Second Generation Open Cloud Servers
5.15.14 Azure Active Directory
5.15.15 Microsoft Azure Stack Platform Brings The Suite Of Azure Services To The Corporate Datacenter
5.15.16 Hardware Foundation For Microsoft Azure Stack
5.16 Veeam Software
6 SUMMARY AND CONCLUSIONS
6.15 State-Of-The-Art Global Infrastructure
WINTERGREEN RESEARCH,
WinterGreen Research Methodology
WinterGreen Research Process
Market Research Study
WinterGreen Research Global Market Intelligence Company
LIST OF FIGURES
Abstract: Cloud Back-up Markets Grow as The Enterprise Moves from Data Center to Cloud
Figure 1. Cloud Back-up Market Forecasts, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 2. Business-Driven Security Technologies And Trends
Figure 3. Cloud Computing Provides Business Continuity
Figure 4. Cloud Storage and Back-Up Market Shares, Dollars, Worldwide, 2016 and 2017
Figure 5. Cloud Storage and Back-Up Market Shares, Small and Medium Business, SMB Dollars, Worldwide, 2016 and 2017
Figure 6. Cloud Storage and Back-Up Market Shares, Cloud Service Provider (CSP), Managed Service Providers (MSP), Telcom Services Provider (TELC) , SMB, Dollars, Worldwide, 2016 and 2017
Figure 7. Cloud Storage and Back-Up Market Shares, Private, Public, Hybrid, SMB, Dollars, Worldwide, 2016 and 2017
Figure 8. Cloud Datacenter, Co-Location, and Social Media Storage Revenue Market Shares, Dollars, Worldwide, 2016
Figure 9. Cloud Back-up Market Forecasts, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 10. Cloud Back-up Markets, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 11. Cloud Back-up Markets, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 12. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 13. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Percent, Worldwide, 2012-2017
Figure 14. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 15. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Percent, Worldwide, 2017-2024
Figure 16. Microsoft Azure Backup
Figure 17. Google Cloud Back-up Pricing
Figure 18. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 19. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Percent, Worldwide, 2012-2017
Figure 20. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 21. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Percent, Worldwide, 2017-2024
Figure 22. Cloud Back-up Regional Market Segments, SMB, Dollars, Worldwide, 2012-2017
Figure 23. Cloud Back-up Regional Market Segments, SMB Dollars, Worldwide, 2017-2024
Figure 24. Cloud Back-up Regional Market Segments, SMB, Percent, Worldwide, 2012 - 2017
Figure 25. Cloud Back-up Regional Market Segments, SMB, Percent, Worldwide, 2017 - 2024
Figure 26. Cloud 2.0 Mega Data Center Regional Market Segments, Dollars, 2016, Image
Figure 27. Amazon Principal Competitive Factors In The AWS Business
Figure 28. Amazon Improving Customer Experience Functions
Figure 29. Amazon Ways To Achieve Efficiency In Technology For Operations
Figure 30. CERNE Cloud Architecture
Figure 31. Cern Cloud and Dev
Figure 32. CERN Use Cases
Figure 33. Cern Hardware Spectrum
Figure 34. Cern Operations Containers
Figure 35. Open Stack at Cern
Figure 36. Cern Open Space Containers on Clouds
Figure 37. HPC and Machine Learning Share Same Interconnect Needs Mellanox Positioned to Capture Significant Share
Figure 38. Mellanox End Markets
Figure 39. Switch Wired Scalable Infrastructure Market Trends
Figure 40. Mega Data Center Fabric Implementation
Figure 41. Orchestration Software Decreases Data Center Cost Structure
Figure 42. Files Bundled into a Container
Figure 43. Microservices: Suite Of Independently Deployable Service Modules with a Unique Process And Well-Defined, Lightweight Communication Portal: Mechanism To Serve A Business Goal
Figure 44. Microservices Distinct Features: Taxi Hailing Example
Figure 45. Microservices Market Segments
Figure 46. Microservices Modules
Figure 47. Hypervisor Virtualization Operating System Interface
Figure 48. Hypervisor Virtualization Operating System Interface
Figure 49. Virtual Machines Less Efficient Than Containers
Figure 50. Difference Between Virtual Machines and Containers
Figure 51. Bare Metal Management Replaced by Container Controllers
Figure 52. Containers vs. VMs
Figure 53. Industrial Robots Eliminate Manual Labor
Figure 54. Industry Uses Robots To Replace Manual Labor
Figure 55. Data Centers Need The Precision and Automation Similar to that Provided by Multi-Step Sequential Task Industrial Robots
Figure 56. Mega Data Center Orchestration Software
Figure 57. Multiple Pathways Open To Processing Nodes In The Cloud 2.0 Mega Data Center Functions
Figure 58. Layer 3 MPLS VPN Backbone
Figure 59. OSPF Network Types
Figure 60. Automatic Detection And Recovery From Network And System Failure
Figure 61. High Performance And Real-Time Message Throughput
Figure 62. Fault Tolerance Features
Figure 63. Google Traffic Generated by Data Center Servers
Figure 64. Google Mega Data Center Multipathing: Implementing Lots And Lots Of Paths Between Each Source And Destination
Figure 65. Google Mega Data Center Multipathing: Routing Destinations
Figure 66. Google Builds Own Network Switches And Software
Figure 67. Google Clos Topology Network Capacity Scalability
Figure 68. Amazon Sales and Regional Revenue
Figure 69. Amazon Sales by Country
Figure 70. Carbonite Revenue
Figure 71. Carbonite Key Infrastructure Competitive Strengths
Figure 72. Carbonite Key Architecture Competitive Strengths
Figure 73. Carbonite Suite Of Solutions:
Figure 74. Druva Software Functions
Figure 75. Facebook Automation of Cloud 2.0 Mega Data Center Process
Figure 76. Chinese Tech Giant Tencent Teams with Mellanox and IBM to Smash Big Data Analytics Record
Figure 77. Mobileye Provides Intel Access to the Automotive Market
Figure 78. Mobileye Intel Automotive Market Access Features
Figure 79. Images for Microsoft Dublin Cloud 2.0 Mega Data Center
Figure 80. Microsoft Azure Data Center
Figure 81. Microsoft Dublin Cloud 2.0 mega data center
Figure 82. Microsoft .Net Dynamic Definition of Reusable Modules
Figure 83. Microsoft .NET Compiling Source Code into Managed Assemblies
Figure 84. Microsoft Architecture Dynamic Modular Processing
Figure 85. Microsoft-Azure-Stack-Block-Diagram
Figure 86. Microsoft-Azure-Platform Stack-Services
Figure 87. Figure 175. Microsoft-Cloud Virtual Machine -Platform Stack-Services
Figure 88. Microsoft-Azure-Core Management-Services
Figure 89. Microsoft Data Centers
Figure 90. Veeam backup for Microsoft Office 365 Functions
Abstract: Cloud Back-up Markets Grow as The Enterprise Moves from Data Center to Cloud
Figure 1. Cloud Back-up Market Forecasts, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 2. Business-Driven Security Technologies And Trends
Figure 3. Cloud Computing Provides Business Continuity
Figure 4. Cloud Storage and Back-Up Market Shares, Dollars, Worldwide, 2016 and 2017
Figure 5. Cloud Storage and Back-Up Market Shares, Small and Medium Business, SMB Dollars, Worldwide, 2016 and 2017
Figure 6. Cloud Storage and Back-Up Market Shares, Cloud Service Provider (CSP), Managed Service Providers (MSP), Telcom Services Provider (TELC) , SMB, Dollars, Worldwide, 2016 and 2017
Figure 7. Cloud Storage and Back-Up Market Shares, Private, Public, Hybrid, SMB, Dollars, Worldwide, 2016 and 2017
Figure 8. Cloud Datacenter, Co-Location, and Social Media Storage Revenue Market Shares, Dollars, Worldwide, 2016
Figure 9. Cloud Back-up Market Forecasts, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 10. Cloud Back-up Markets, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 11. Cloud Back-up Markets, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 12. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 13. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Percent, Worldwide, 2012-2017
Figure 14. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 15. Cloud Back-up CSP, MSP, and Telco Market Segments, SMB and Smart Devices, Percent, Worldwide, 2017-2024
Figure 16. Microsoft Azure Backup
Figure 17. Google Cloud Back-up Pricing
Figure 18. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2012-2017
Figure 19. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Percent, Worldwide, 2012-2017
Figure 20. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Dollars, Worldwide, 2017-2024
Figure 21. Cloud Back-up Private, Public, Hybrid Market Segments, SMB and Smart Devices, Percent, Worldwide, 2017-2024
Figure 22. Cloud Back-up Regional Market Segments, SMB, Dollars, Worldwide, 2012-2017
Figure 23. Cloud Back-up Regional Market Segments, SMB Dollars, Worldwide, 2017-2024
Figure 24. Cloud Back-up Regional Market Segments, SMB, Percent, Worldwide, 2012 - 2017
Figure 25. Cloud Back-up Regional Market Segments, SMB, Percent, Worldwide, 2017 - 2024
Figure 26. Cloud 2.0 Mega Data Center Regional Market Segments, Dollars, 2016, Image
Figure 27. Amazon Principal Competitive Factors In The AWS Business
Figure 28. Amazon Improving Customer Experience Functions
Figure 29. Amazon Ways To Achieve Efficiency In Technology For Operations
Figure 30. CERNE Cloud Architecture
Figure 31. Cern Cloud and Dev
Figure 32. CERN Use Cases
Figure 33. Cern Hardware Spectrum
Figure 34. Cern Operations Containers
Figure 35. Open Stack at Cern
Figure 36. Cern Open Space Containers on Clouds
Figure 37. HPC and Machine Learning Share Same Interconnect Needs Mellanox Positioned to Capture Significant Share
Figure 38. Mellanox End Markets
Figure 39. Switch Wired Scalable Infrastructure Market Trends
Figure 40. Mega Data Center Fabric Implementation
Figure 41. Orchestration Software Decreases Data Center Cost Structure
Figure 42. Files Bundled into a Container
Figure 43. Microservices: Suite Of Independently Deployable Service Modules with a Unique Process And Well-Defined, Lightweight Communication Portal: Mechanism To Serve A Business Goal
Figure 44. Microservices Distinct Features: Taxi Hailing Example
Figure 45. Microservices Market Segments
Figure 46. Microservices Modules
Figure 47. Hypervisor Virtualization Operating System Interface
Figure 48. Hypervisor Virtualization Operating System Interface
Figure 49. Virtual Machines Less Efficient Than Containers
Figure 50. Difference Between Virtual Machines and Containers
Figure 51. Bare Metal Management Replaced by Container Controllers
Figure 52. Containers vs. VMs
Figure 53. Industrial Robots Eliminate Manual Labor
Figure 54. Industry Uses Robots To Replace Manual Labor
Figure 55. Data Centers Need The Precision and Automation Similar to that Provided by Multi-Step Sequential Task Industrial Robots
Figure 56. Mega Data Center Orchestration Software
Figure 57. Multiple Pathways Open To Processing Nodes In The Cloud 2.0 Mega Data Center Functions
Figure 58. Layer 3 MPLS VPN Backbone
Figure 59. OSPF Network Types
Figure 60. Automatic Detection And Recovery From Network And System Failure
Figure 61. High Performance And Real-Time Message Throughput
Figure 62. Fault Tolerance Features
Figure 63. Google Traffic Generated by Data Center Servers
Figure 64. Google Mega Data Center Multipathing: Implementing Lots And Lots Of Paths Between Each Source And Destination
Figure 65. Google Mega Data Center Multipathing: Routing Destinations
Figure 66. Google Builds Own Network Switches And Software
Figure 67. Google Clos Topology Network Capacity Scalability
Figure 68. Amazon Sales and Regional Revenue
Figure 69. Amazon Sales by Country
Figure 70. Carbonite Revenue
Figure 71. Carbonite Key Infrastructure Competitive Strengths
Figure 72. Carbonite Key Architecture Competitive Strengths
Figure 73. Carbonite Suite Of Solutions:
Figure 74. Druva Software Functions
Figure 75. Facebook Automation of Cloud 2.0 Mega Data Center Process
Figure 76. Chinese Tech Giant Tencent Teams with Mellanox and IBM to Smash Big Data Analytics Record
Figure 77. Mobileye Provides Intel Access to the Automotive Market
Figure 78. Mobileye Intel Automotive Market Access Features
Figure 79. Images for Microsoft Dublin Cloud 2.0 Mega Data Center
Figure 80. Microsoft Azure Data Center
Figure 81. Microsoft Dublin Cloud 2.0 mega data center
Figure 82. Microsoft .Net Dynamic Definition of Reusable Modules
Figure 83. Microsoft .NET Compiling Source Code into Managed Assemblies
Figure 84. Microsoft Architecture Dynamic Modular Processing
Figure 85. Microsoft-Azure-Stack-Block-Diagram
Figure 86. Microsoft-Azure-Platform Stack-Services
Figure 87. Figure 175. Microsoft-Cloud Virtual Machine -Platform Stack-Services
Figure 88. Microsoft-Azure-Core Management-Services
Figure 89. Microsoft Data Centers
Figure 90. Veeam backup for Microsoft Office 365 Functions
