A fresh research report presented by KD Market Insights provides a detailed analysis of “Global Cloud Backup Market Size, Trends, Opportunity and Forecast to 2024” research report will include all the major trends and technologies that play an important role in market growth in the predicted span of 7 years. It also presents the overview of industry players, advantages, challenges the business is going through. The research provides a complete understanding of the Global Cloud Backup Market in terms of revenue.
Report start from the market overview section which demonstrates the market drivers, restraints and opportunities that influence the current and future status of the market. It also includes key trends, implementation restraints, end-user product issues and many more. These factors are responsible for changing the market scenario. The deep analysis of each segment in the report is provided in order to provide a thorough understanding of the overall scenario in the Cloud Backup Market. The report covers the competitor’s strategies that help them to capture the market.
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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.
Market Leaders
IBM
Amazon
Microsoft
Google
Iron Mountain Incorporated
Veeam Software
Barracuda Networks
Carbonite
Autotask / Datto
Asigra
Acronis International GmbH
Code42 Software
Datto
Druva Software
Efolder
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Table of Content:
Abstract: Cloud Back-up Markets Grow as The Enterprise Moves from Data Center to Cloud 1
Cloud Back-up Executive Summary 15
Cloud Back-up Market Forecasts, SMB and Smart Devices 15
Cloud Back-up Executive Summary 15
Cloud Back-up Market Forecasts, SMB and Smart Devices 15
1. Cloud Back-up: Market Description and Market Dynamics 17
1.1 Cloud Back-up 17
1.2 High-Performance Switches Implement Software Defined Data Center 19
1.1 Cloud Back-up 17
1.2 High-Performance Switches Implement Software Defined Data Center 19
2. Cloud Back-up Market Shares and Forecasts 20
2.1 Cloud Back-up Market Driving Forces 20
2.1.1 Value of Cloud Back-Up Companies Is the Customer Base That Can be Converted to Cloud 22
2.2 Cloud Back-up Market Shares 22
2.3 Cloud Back-up Market Forecasts 27
2.3.1 Cloud Back-up Market Segments Analysis CSP, MSP, and Telco, 2012-2017 31
2.4 Cloud Back-up Pricing 34
2.5 Cloud Back-up and Storage for Private, Public, and Hybrid Market Sectors 36
2.5.1 Private Cloud 40
2.5.2 Public Cloud 41
2.5.3 Hybrid Cloud 41
2.5.4 Social Media Always on Data Centers 41
2.6 Cloud Back-up Regional Market Segments 42
2.1 Cloud Back-up Market Driving Forces 20
2.1.1 Value of Cloud Back-Up Companies Is the Customer Base That Can be Converted to Cloud 22
2.2 Cloud Back-up Market Shares 22
2.3 Cloud Back-up Market Forecasts 27
2.3.1 Cloud Back-up Market Segments Analysis CSP, MSP, and Telco, 2012-2017 31
2.4 Cloud Back-up Pricing 34
2.5 Cloud Back-up and Storage for Private, Public, and Hybrid Market Sectors 36
2.5.1 Private Cloud 40
2.5.2 Public Cloud 41
2.5.3 Hybrid Cloud 41
2.5.4 Social Media Always on Data Centers 41
2.6 Cloud Back-up Regional Market Segments 42
3. Cloud Back-up Product Description 47
3.1 Amazon 47
3.1.1 Amazon Business 47
3.1.2 Amazon Competition 47
3.1.3 Amazon Description 48
3.1.4 Amazon Fault Tolerance and Redundancy Solutions 53
3.2 Goldman Sachs Open Compute Project 53
3.3 Robust, Quality Cloud Computing 55
3.4 Networking Performance 61
3.4.1 Scalable Infrastructure Data Management Component Application Segments 63
3.4.2 Internet Has Grown by a Factor of 100 Over The Past 10 Years 65
3.4.3 Realigning Data Center Cost Structures 66
3.4.4 IT Relies On Replacing Virtual Machine: VM Virtualization 67
3.4.5 Microservices 69
3.4.6 Microservices Features 70
3.4 7 Microservices Modules 72
3.4.8 Difficulties with Virtual Machines 73
3.4.9 Hypervisor a Difficulty 74
3.4.10 Virtual Machines Use Bare Metal, Containers Use Orchestration Software 76
3.4.11 Bare Metal an Inefficient Use of Compute Resource 77
3.4.12 Bare Metal Less Efficient 77
3.4.13 Industry Uses Robots Because Manual Labor Is Slow And Error Prone 78
3.4.14 IT processes Replace Manual Labor 79
3.4.15 Mega Data Center Orchestration Software 80
3.1 Amazon 47
3.1.1 Amazon Business 47
3.1.2 Amazon Competition 47
3.1.3 Amazon Description 48
3.1.4 Amazon Fault Tolerance and Redundancy Solutions 53
3.2 Goldman Sachs Open Compute Project 53
3.3 Robust, Quality Cloud Computing 55
3.4 Networking Performance 61
3.4.1 Scalable Infrastructure Data Management Component Application Segments 63
3.4.2 Internet Has Grown by a Factor of 100 Over The Past 10 Years 65
3.4.3 Realigning Data Center Cost Structures 66
3.4.4 IT Relies On Replacing Virtual Machine: VM Virtualization 67
3.4.5 Microservices 69
3.4.6 Microservices Features 70
3.4 7 Microservices Modules 72
3.4.8 Difficulties with Virtual Machines 73
3.4.9 Hypervisor a Difficulty 74
3.4.10 Virtual Machines Use Bare Metal, Containers Use Orchestration Software 76
3.4.11 Bare Metal an Inefficient Use of Compute Resource 77
3.4.12 Bare Metal Less Efficient 77
3.4.13 Industry Uses Robots Because Manual Labor Is Slow And Error Prone 78
3.4.14 IT processes Replace Manual Labor 79
3.4.15 Mega Data Center Orchestration Software 80
4 Cloud Back-up Research and Technology 81
4.1 Enterprise IT Control Centers 81
4.2 Open Compute Project (OCP) 83
4.2.1 Microsoft Investment in Open Compute 85
4.2.2 Microsoft Leverages Open Compute Project to Bring Benefit to Enterprise Customers 86
4.3 Open Source Foundation 86
4.3.1 OSPF Neighbor Relationship Over Layer 3 MPLS VPN 87
4.4 Dynamic Systems 90
4.4.1 Robust, Enterprise-Quality Fault Tolerance 90
4.5 Cache / Queue 92
4.6 Multicast 94
4.7 Performance Optimization 95
4.8 Fault Tolerance 96
4.8.1 Gateways 97
4.8.2 Promise Of Web Services 97
4.1 Enterprise IT Control Centers 81
4.2 Open Compute Project (OCP) 83
4.2.1 Microsoft Investment in Open Compute 85
4.2.2 Microsoft Leverages Open Compute Project to Bring Benefit to Enterprise Customers 86
4.3 Open Source Foundation 86
4.3.1 OSPF Neighbor Relationship Over Layer 3 MPLS VPN 87
4.4 Dynamic Systems 90
4.4.1 Robust, Enterprise-Quality Fault Tolerance 90
4.5 Cache / Queue 92
4.6 Multicast 94
4.7 Performance Optimization 95
4.8 Fault Tolerance 96
4.8.1 Gateways 97
4.8.2 Promise Of Web Services 97
5 Cloud Back-up Company Profiles 99
5.1 Acronis International GmbH 99
5.2 Alphabet / Google 99
5.2.1 Google Switches Provide Scale-Out: Server And Storage Expansion 100
5.2.2 Google Uses Switches and Routers Deployed in Fabrics 101
5.2.3 Google Mega Data Center Multipathing 102
5.2.4 Google Mega Data Center Multipathing: Routing Destinations 103
5.2.5 Google Clos Topology Network Capacity Scalability 104
5.3 Apple 106
5.3.1 Apple Technology For Self-Driving Cars 106
5.3.2 Apple Artificial Intelligence (AI) Technology 107
5.4 Asigra 107
5.4.1 Asigra Revenue 107
5.5 AWS / Amazon 108
5.5.1 AWS 112
5.1 Acronis International GmbH 99
5.2 Alphabet / Google 99
5.2.1 Google Switches Provide Scale-Out: Server And Storage Expansion 100
5.2.2 Google Uses Switches and Routers Deployed in Fabrics 101
5.2.3 Google Mega Data Center Multipathing 102
5.2.4 Google Mega Data Center Multipathing: Routing Destinations 103
5.2.5 Google Clos Topology Network Capacity Scalability 104
5.3 Apple 106
5.3.1 Apple Technology For Self-Driving Cars 106
5.3.2 Apple Artificial Intelligence (AI) Technology 107
5.4 Asigra 107
5.4.1 Asigra Revenue 107
5.5 AWS / Amazon 108
5.5.1 AWS 112
5.6 Barracuda Networks 112
5.6.1 Barracuda Q3 Total Revenue Grew To $94.7 Million 113
5.6.2 Definitive Agreement To Be Acquired By Leading Private Equity Investment Firm Thoma Bravo, LLC 113
5.6.3 Barracuda Networks Third Quarter 2018 Revenue 113
5.7 Carbonite 114
5.7.1 Carbonite SMB Target Markets 116
5.7.2 Carbonite Offerings 117
5.8 Code42 Software 119
5.9 Datto / Autotask 119
5.9.1 Datto Acquisition by Vista Equity Partners 120
5.9.2 Autotask 121
5.9.3 Datto Hardware-Based On-Site And Offsite Backup, Disaster Recovery And Business Continuity Services 122
5.9.4 Datto / Autotask 123
5.10 Druva Software Leverages AWS 123
5.10.1 Druva 2017 Growth 125
5.10.2 Druva 128
5.11 Efolder 129
5.4 Facebook Pods 131
5.4.1 Facebook Sample Pod: Unit of Network 131
5.5 IBM 133
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