《云计算与虚拟化技术 Cloud and virtualization technology》参考资料：Worldwide Cloud System and Service Management Software Market Shares, 2019：SaaS and ITOM Drive Growth.pdf_大学文库

EXECUTIVE SUMMARY IDC estimates the worldwide cloud system and service management software market totaled $7.4 billion in 2019. IT operations management(ITOM)software and SaaS services, including infrastructure application performance management, capacity optimization, and log and event the largest segment of the market with 49. 5% share of the overall market VMware led the market with an estimated $1.5 billion in revenue, representing 19.8% of the worldwide cloud system and service management software market. Microsoft was in second place with 13.9% of the market, representing an estimated $1 billion in revenue. IBM-Red Hat, Cisco(including AppDynamics), and New Relic rounded out the top 5 vendors Refer back to Figure 1 for a summary snapshot of the total market and leading market share vendors in 2019. Refer to Table 1 for a detailed list of vendors active in this market This iDC study discusses 2019 vendor market shares and market activity across the worldwide cloud system and service management software market and provides a competitive view of selected products and vendors IDC estimates that vendor revenue in the worldwide cloud system and service management software market, including SaaS and on-premises software, grew 33. 5% in 2019, exceeding $7 billion for the first time, "stated Mary Johnston Turner, IDCs research vice president, Cloud Management Software Enterprise demand for cloud system and service management software continued to increase rapidly in 2019. Customers continued to shift toward SaaS-delivered solutions for managing public, private hybrid, and multicloud environments. Monitoring, observability, and analytics for performance, cost, and configuration control were top enterprise priorities. ADVICE FOR TECHNOLOGY SUPPLIERS The cloud systems and service management software and SaaS market continues to evolve as enterprise cloud environments become more heterogeneous and support a larger share of mission- critical enterprise workloads. IDC's research shows that most enterprises continue to rely on a mix of traditional, private cloud, and public cloud infrastructure even as they increase use of containers and microservices and edge computing platforms. This situation is expected to be the case for a number of Technology suppliers in this market need to support customer priorities for hybrid and multicloud architectures in ways that promote productivity, cost savings, compliance, and security IDC's research on the impact of CoVID-19 indicates that the infrastructure software and cloud software segments will buyers will continue to prioritize SaaS delivery models and ITOM solutions that allow proactive and o be somewhat more resilient in an overall downward trending global economy. IDC expects enterprise predictive optimization of infrastructure resources, application performance, and overall cost Enterprises will continue to explore the value of multicloud management control planes that reach across public and private clouds and unify management for virtualized and container-based applications. The ability for enterprises to evaluate, purchase, and deploy these newer control plane options will be impacted by limits on head count, training, and related IT budgets during much of 2020 and into 2021. Suppliers of all types of cloud system and service management solutions will need to 2020|DC #US45083420

©2020 IDC #US45083420 2 EXECUTIVE SUMMARY IDC estimates the worldwide cloud system and service management software market totaled $7.4 billion in 2019. IT operations management (ITOM) software and SaaS services, including infrastructure application performance management, capacity optimization, and log and event analytics, represented the largest segment of the market with 49.5% share of the overall market. VMware led the market with an estimated $1.5 billion in revenue, representing 19.8% of the worldwide cloud system and service management software market. Microsoft was in second place with 13.9% of the market, representing an estimated $1 billion in revenue. IBM–Red Hat, Cisco (including AppDynamics), and New Relic rounded out the top 5 vendors. Refer back to Figure 1 for a summary snapshot of the total market and leading market share vendors in 2019. Refer to Table 1 for a detailed list of vendors active in this market. This IDC study discusses 2019 vendor market shares and market activity across the worldwide cloud system and service management software market and provides a competitive view of selected products and vendors. "IDC estimates that vendor revenue in the worldwide cloud system and service management software market, including SaaS and on-premises software, grew 33.5% in 2019, exceeding $7 billion for the first time," stated Mary Johnston Turner, IDC's research vice president, Cloud Management Software. "Enterprise demand for cloud system and service management software continued to increase rapidly in 2019. Customers continued to shift toward SaaS-delivered solutions for managing public, private, hybrid, and multicloud environments. Monitoring, observability, and analytics for performance, cost, and configuration control were top enterprise priorities." ADVICE FOR TECHNOLOGY SUPPLIERS The cloud systems and service management software and SaaS market continues to evolve as enterprise cloud environments become more heterogeneous and support a larger share of missioncritical enterprise workloads. IDC's research shows that most enterprises continue to rely on a mix of traditional, private cloud, and public cloud infrastructure even as they increase use of containers and microservices and edge computing platforms. This situation is expected to be the case for a number of years. Technology suppliers in this market need to support customer priorities for hybrid and multicloud architectures in ways that promote productivity, cost savings, compliance, and security. IDC's research on the impact of COVID-19 indicates that the infrastructure software and cloud software segments will be somewhat more resilient in an overall downward trending global economy. IDC expects enterprise buyers will continue to prioritize SaaS delivery models and ITOM solutions that allow proactive and predictive optimization of infrastructure resources, application performance, and overall cost management. Enterprises will continue to explore the value of multicloud management control planes that reach across public and private clouds and unify management for virtualized and container-based applications. The ability for enterprises to evaluate, purchase, and deploy these newer control plane options will be impacted by limits on head count, training, and related IT budgets during much of 2020 and into 2021. Suppliers of all types of cloud system and service management solutions will need to demonstrate:

relies on the Google Kubernetes Engine,s(GKEs)open Kubernetes-native API and Google proprietary programmatic infrastructure automation as code technologies to create a unified multicloud control plane. Throughout the year, Google added new capabilities such as Cloud Run for Anthos to enable serverless deployment and predefined integrations with autoscaling CI/CD, Stackdriver Logging, monitoring, source control, and other Kubernetes-supported capabilities. The company claimed hundreds of customers and continued to promote Anthos as the linchpin to its hybrid and multicloud management strategy Microsoft Azure introduced Azure Arc to extend the azure Resource Manager control plane across on-premises and public cloud platforms. Azure Arc provides connections to the Azure Resource Manager and Azure Policy engine to allow consistent use of existing validated and curated Azure service configurations, policies, RBAC controls, and remediation plans beyond the Azure public cloud. Platforms supported by Azure Arc include on-premises Azure Stack Hub, HCl and Edge systems, generic bare metal and virtual on-premises servers and container clusters, and third-party public cloud infrastructure. VMware doubled down on its SaaS-based cloud management portfolio, bringing vRealize cloud management services options to full parity with on-premises vRealize offerings At the same time, the company introduced the SaaS-delivered VMware Tanzu Mission Control to provide a single place for customers to manage all their Kubernetes clusters regardless of where those clusters are deployed. VMware Tanzu Mission Control supports application-level control for applying policies, quotas, and role- based access while providing developers with self-service access to resources using Kubernetes APls, regardless of whether they are deployed across vSphere, public clouds, management clouds, and so forth Automation and onitoring of the core vSphere infrastructure will continue to be supported by vRealize and its parallel SaaS services including Tanzu Observability(formerly Wavefront). SaaS-delivered VMware CloudHealth also experienced strong growth In addition, several observability and analytics specialists made important announcements Specifically, Dynatrace launched Autonomous Cloud to branch out beyond its APM roots toward becoming a provider of all-in-one full-stack monitoring, analytics, and automation software and SaaS services. Splunk completed the acquisitions of Omnition, SignalFx, and Streamlio and repositioned itself as the" data to everything"platform. Splunk is rebuilding its portfolio with containers to improve the scalability and flexibility needed for Saas delivery as well as supporting emerging enterprise architectures. New Relic completed the acquisition of SignifAl and expanded the New Relic One observability platform to support AlOps across logs, metrics, and traces. Hybrid and multicloud management are top use cases for all these vendors as is shown by their strong showings in the top 0 of vendor rankings MARKET CONTEXT Worldwide Cloud System and Service Management Software Revenue by Region Snapshot, 2019 In 2019, the worldwide cloud system and service management software market saw continued strong growth. As shown in Figure 2, the Americas continued to be the largest region with 64.1% share because of the relative majority and larger scale of many enterprise and public clouds in the region 2020|DC #US45083420

©2020 IDC #US45083420 5 relies on the Google Kubernetes Engine's (GKE's) open Kubernetes-native API and Google proprietary programmatic infrastructure automation as code technologies to create a unified multicloud control plane. Throughout the year, Google added new capabilities such as Cloud Run for Anthos to enable serverless deployment and predefined integrations with autoscaling, CI/CD, Stackdriver Logging, monitoring, source control, and other Kubernetes-supported capabilities. The company claimed hundreds of customers and continued to promote Anthos as the linchpin to its hybrid and multicloud management strategy.  Microsoft Azure introduced Azure Arc to extend the Azure Resource Manager control plane across on-premises and public cloud platforms. Azure Arc provides connections to the Azure Resource Manager and Azure Policy engine to allow consistent use of existing validated and curated Azure service configurations, policies, RBAC controls, and remediation plans beyond the Azure public cloud. Platforms supported by Azure Arc include on-premises Azure Stack Hub, HCI and Edge systems, generic bare metal and virtual on-premises servers and container clusters, and third-party public cloud infrastructure.  VMware doubled down on its SaaS-based cloud management portfolio, bringing vRealize cloud management services options to full parity with on-premises vRealize offerings. At the same time, the company introduced the SaaS-delivered VMware Tanzu Mission Control to provide a single place for customers to manage all their Kubernetes clusters, regardless of where those clusters are deployed. VMware Tanzu Mission Control supports application-level control for applying policies, quotas, and role-based access while providing developers with self-service access to resources using Kubernetes APIs, regardless of whether they are deployed across vSphere, public clouds, management clouds, and so forth. Automation and monitoring of the core vSphere infrastructure will continue to be supported by vRealize and its parallel SaaS services including Tanzu Observability (formerly Wavefront). SaaS-delivered VMware CloudHealth also experienced strong growth. In addition, several observability and analytics specialists made important announcements. Specifically, Dynatrace launched Autonomous Cloud to branch out beyond its APM roots toward becoming a provider of all-in-one full-stack monitoring, analytics, and automation software and SaaS services. Splunk completed the acquisitions of Omnition, SignalFx, and Streamlio and repositioned itself as the "data to everything" platform. Splunk is rebuilding its portfolio with containers to improve the scalability and flexibility needed for SaaS delivery as well as supporting emerging enterprise architectures. New Relic completed the acquisition of SignifAI and expanded the New Relic One observability platform to support AIOps across logs, metrics, and traces. Hybrid and multicloud management are top use cases for all these vendors as is shown by their strong showings in the top 10 of vendor rankings. MARKET CONTEXT Worldwide Cloud System and Service Management Software Revenue by Region Snapshot, 2019 In 2019, the worldwide cloud system and service management software market saw continued strong growth. As shown in Figure 2, the Americas continued to be the largest region with 64.1% share because of the relative majority and larger scale of many enterprise and public clouds in the region

contract, access to product support and/or other services that are inseparable from the right-to-use license fee structure, or this support may be priced separately. Upgrades may be included in the continuing right of use or may be priced separately. These are counted by IDC as commercial software revenue Commercial software revenue excludes service revenue derived from training consulting, and systems integration that is separate(or unbundled) from the right-to-use license but does include the implicit value of software included in a service that offers software functionality by a different pricing scheme. It is the total commercial software revenue that is further allocated to markets, geographic areas, and sometimes operating environments. For further details, see /DCs Worldwide Software Taxonomy, 2020(IDC #US45718419, January 2020) Bottom-up/company-level data collection for calendar year 2019 began in January 2020, with in-depth vendor surveys and analysis to develop detailed 2019 company models by market, geographic region and deployment model The data presented in this document is IDC estimates only te: Allnumbers in this document may not be exact due to rounding. MARKET DEFINITION The complete worldwide cloud system and service management software taxonomy was updated July 2019. It included reallocation of cloud cost management monitoring and analytics into the cloud ITOM market Cost reporting solutions that do not include active analytics or automation remain in the IT SM segment. See IDCs Worldwide Cloud System and Service Management Software Taxonomy, 2019:Uate(DC#S44895019,Juy2019) Cloud system and service management software(including SaaS)can be used to manage any mix of private cloud, public cloud, hybrid cloud, or multicloud environments. IDC defines cloud infrastructure formally through a checklist of key attributes that apply to all types of clouds as defined in /DCs Worldwide /T Cloud Services Taxonomy, 2019 (IDC #US45714519, December 2019). Specifically hese include. Standard shared offering built for scale and automated deployment Self-service provisioning and administration Elastic resource scaling and pooling Elastic consumption/usage metering Published service interface/APIs These attributes can be made available to customers via various types of clouds including Public cloud: Public clouds are shared among unrelated enterprises and/or consumers, oper enterprise. Public cloud services are typically priced using consumption-or usage-aseoo to a largely unrestricted universe of potential users, and designed for a market, not a sing models. Public clouds are available at several levels of abstraction including Software as a service 2020|DC #US45083420

©2020 IDC #US45083420 9 contract, access to product support and/or other services that are inseparable from the right-to-use license fee structure, or this support may be priced separately. Upgrades may be included in the continuing right of use or may be priced separately. These are counted by IDC as commercial software revenue. Commercial software revenue excludes service revenue derived from training, consulting, and systems integration that is separate (or unbundled) from the right-to-use license but does include the implicit value of software included in a service that offers software functionality by a different pricing scheme. It is the total commercial software revenue that is further allocated to markets, geographic areas, and sometimes operating environments. For further details, see IDC's Worldwide Software Taxonomy, 2020 (IDC #US45718419, January 2020). Bottom-up/company-level data collection for calendar year 2019 began in January 2020, with in-depth vendor surveys and analysis to develop detailed 2019 company models by market, geographic region, and deployment model. The data presented in this document is IDC estimates only. Note: All numbers in this document may not be exact due to rounding. MARKET DEFINITION The complete worldwide cloud system and service management software taxonomy was updated in July 2019. It included reallocation of cloud cost management monitoring and analytics into the cloud ITOM market. Cost reporting solutions that do not include active analytics or automation remain in the ITSM segment. See IDC's Worldwide Cloud System and Service Management Software Taxonomy, 2019: Update (IDC #US44895019, July 2019). Cloud system and service management software (including SaaS) can be used to manage any mix of private cloud, public cloud, hybrid cloud, or multicloud environments. IDC defines cloud infrastructure formally through a checklist of key attributes that apply to all types of clouds as defined in IDC's Worldwide IT Cloud Services Taxonomy, 2019 (IDC #US45714519, December 2019). Specifically, these include:  Standard shared offering built for scale and automated deployment  Pre-integrated/automated updates  Self-service provisioning and administration  Elastic resource scaling and pooling  Elastic consumption/usage metering  Published service interface/APIs These attributes can be made available to customers via various types of clouds including:  Public cloud: Public clouds are shared among unrelated enterprises and/or consumers, open to a largely unrestricted universe of potential users, and designed for a market, not a single enterprise. Public cloud services are typically priced using consumption- or usage-based models. Public clouds are available at several levels of abstraction including:  Software as a service

Platform as a service Infrastructure as a service Private cloud: Private clouds are shared within a single enterprise or extended enterprise with restrictions on access and level of resource dedication, are defined/controlled by the enterprise, and are beyond the control available in public cloud offerings. These can be deployed into dedicated customer datacenters or colocation/outsourced or managed hosting environments Hybrid cloud: Hybrid cloud is a cloud computing environment that uses a mix of private cloud and public cloud services with orchestration between the platforms, allowing data and Multicloud: Multicloud is a deployment approach that relies on two or more clouds(public or private). An enterprise may concurrently use separate cloud providers for infrastructure(laas platform(PaaS), and software( SaaS)services or use multiple infrastructure(laaS)providers Integrations between various clouds are not required IT environments that are highly virtualized but do not include the ability to dynamically scale and share resources and provision resources on a self-serve, consumption-aware basis do not qualify for this study, since end-user self-service and consumption-based metering are critical elements of any cloud nvironment The unique characteristic of cloud system and service management is the set of cloud-specific management use cases to which these functions are applied. Examples of cloud system and service management software capabilities are described in the sections that follow IT Automation and Configuration Management Cloud Management Automation Cloud system and service management automation offerings automate a range of cloud infrastructure configuration, provisioning governance, and policy management activities. These capabilities can be applied to single or multiple clouds and to private or public cloud environments. Offerings in this category can be deployed as on-premises software or SaaS. In some cases, public cloud service providers such as AWs include selected functionality for free as part of core compute service offerings This revised segment combines formerly separate cloud automation and orchestration and cloud governance automation segments Examples include: AWS Config and AWS Systems Manager Chef, for cloud operations use cases Puppet, for cloud Red Hat Ansible Automation, for cloud operations use cases VMware rEalize Automation Management Cloud IT operations management solutions and services monitor, analyze, and optimize the performance and cost of cloud resources and services including private clouds, public cloud SaaS and 2020|DC #US45083420

©2020 IDC #US45083420 10  Platform as a service  Infrastructure as a service  Private cloud: Private clouds are shared within a single enterprise or extended enterprise with restrictions on access and level of resource dedication, are defined/controlled by the enterprise, and are beyond the control available in public cloud offerings. These can be deployed into dedicated customer datacenters or colocation/outsourced or managed hosting environments.  Hybrid cloud: Hybrid cloud is a cloud computing environment that uses a mix of private cloud and public cloud services with orchestration between the platforms, allowing data and applications/solutions to be shared between them.  Multicloud: Multicloud is a deployment approach that relies on two or more clouds (public or private). An enterprise may concurrently use separate cloud providers for infrastructure (IaaS), platform (PaaS), and software (SaaS) services or use multiple infrastructure (IaaS) providers. Integrations between various clouds are not required. IT environments that are highly virtualized but do not include the ability to dynamically scale and share resources and provision resources on a self-serve, consumption-aware basis do not qualify for this study, since end-user self-service and consumption-based metering are critical elements of any cloud environment. The unique characteristic of cloud system and service management is the set of cloud-specific management use cases to which these functions are applied. Examples of cloud system and service management software capabilities are described in the sections that follow. IT Automation and Configuration Management Cloud Management Automation Cloud system and service management automation offerings automate a range of cloud infrastructure configuration, provisioning, governance, and policy management activities. These capabilities can be applied to single or multiple clouds and to private or public cloud environments. Offerings in this category can be deployed as on-premises software or SaaS. In some cases, public cloud service providers such as AWS include selected functionality for free as part of core compute service offerings. This revised segment combines formerly separate cloud automation and orchestration and cloud governance automation segments. Examples include:  AWS Config and AWS Systems Manager  Chef, for cloud operations use cases  Cisco CloudCenter  Microsoft Azure Automation  Puppet, for cloud operations use cases  Red Hat Ansible Automation, for cloud operations use cases  VMware vRealize Automation IT Operations Management Cloud IT operations management solutions and services monitor, analyze, and optimize the performance and cost of cloud resources and services including private clouds, public cloud SaaS and