Application
Release Orchestration (ARO) is defined as tools, products or scripts, which
automatically install & correctly configure a given version of an
application in a target environment. It is also referred to as “Continuous
Delivery and Release Automation (CDRA)” and “Application Release Automation”
(ARA)”. ARO tools are used by developers and DevOps teams to manage, automate,
and facilitate application release processes. It includes workflow engines
which support automating & tracking of enterprise workforce activities. It
provides a grouping of deployment automation and release orchestration
capabilities to improve to increases the quality & governance of
application releases. The key features are included flexibility, low costs,
security, and scalability.
According
to study, “Global
Application Release Orchestration Software Market Size study, by Type
(On-Premises, Cloud-Based), by Application (Small & Medium Sized
Enterprises, Large Enterprises) and Regional Forecasts 2018-2025” the
key companies operating in the global application release orchestration
software market are Chef Software, Hewlett-Packard Enterprise, XebiaLabs Inc.,
Red Hat Inc., Electric Cloud, IBM Corp., GitLab, OpenMake Software, CA
Technologies, Octopus Deploy, BuildMaster, Puppet Enterprise, Fujitsu, BMC
Software, vRealize Code Stream, DBmaestro DevOps Platform, Microsoft Corp.,
VMware Inc., Micro Focus Release Control, Plutora Release Management, Nolio
Release Automation, DeployHub, Clarive Software, ARCAD Software, Inedo, Flexagon
LLC, CollabNet, Attunity, ReleasePage, DROPS, CloudBees Flow, NIIT
Technologies, Instaclustr Managed Solutions, Micro Focus Deployment Automation,
Nutanix Calm, MidVision Ltd., Datical, Rocket Software, Plutora, Ansible,
ReleaseNotes.io, HCL UrbanCode Deploy, Harness, Azure Pipelines. The key
players are largely investing in organic growth strategies for instance new
product development and existing product augmentations to strengthen their
position in the global market.
Based
on component type, application release orchestration software market is
segmented into services and tool. Services include support & maintenance,
training, consulting & integration and managed services. The training
services include inclusive software training ARA solutions for individuals so
that they can effectively operate, govern, and maintain vendors’ products.
Additionally, consulting & integration services help enterprises to
efficiently manage business transformation and accomplish enterprise’s
strategic objective. Based on deployment type, market is segmented into cloud
and on-premise. Based on organization size, market is segmented into small
enterprises, medium enterprises and large enterprises. In addition, based on
vertical, market is segmented into Information Technology Enabled Services
(ITES) & telecommunications, manufacturing, banking, financial services,
and insurance (BFSI), healthcare, retail & consumer goods, media &
entertainment and others. ITES & telecommunication segment holds major
share owing to better digital customer experience.
The
application release orchestration software market is driven by increase in
disposable income of the enterprises, followed by rise in demand from
enterprises across the developed & developing countries, increase in focus
on improving release processes & deployment speed, rise in complexities in
operating applications, optimized resource utilization, growth in need for
continuous & accelerated Time-to-Market (TTM), and numerous applications
running in dynamic IT environment. However, high cost associated to this
software and lack of knowledge about the application release orchestration
software may impact the market.
Based
on geography, the Asian-Pacific region holds major share in application release
orchestration software market owing to fast growth in regions such as India
& China. The North-American region is expected to witness higher growth
rate due to presence of advanced IT infrastructure, rise in availability of
proficient technical expertise and high concentration of market players over
the forecast period.
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