DevOps Automation Tools Market

Devops Automation Tools (Continuous Integration/Continuous Delivery Segment Is Driving The Adoption)


DevOps automation tools streamline the development process from writing code to deployment through continuous integration and delivery. They automate various activities like building, testing, releasing, and deploying code changes safely and at high velocity. Common functions of these tools include deployment automation, configuration management, test automation, infrastructure management, and continuous integration and delivery workflows.

DevOps automation tools are used to automate the software development lifecycle and deployment process. They help facilitate communication, integration, and coordination between software developers and Information Technology (IT) professionals. Automation tools enable continuous integration of new functionalities and features into existing software programs by automating builds and testing. They also automate software deployment to servers and infrastructure to push software updates. This reduces manual efforts, saves time and cost of development and delivery, and enables faster release of features to customers.

The global DevOps Automation Tools Market size is estimated to be valued at US$ 5.79 Bn in 2023 and is expected to exhibit a CAGR of 23% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market key trends:
One of the key trends in the market is the rising adoption of DevOps automation and continuous delivery tools by organizations to accelerate software release cycles. Automating deployment pipelines helps software teams ship features faster while maintaining quality. Continuous integration/continuous delivery segment is estimated to dominate the market during the forecast period. Growing need to rapidly innovate and integrate feedback from customers is fueling adoption of DevOps practices and use of automation tools across industries. Increased cloud adoption is also driving the market as cloud-based automation tools are gaining popularity. Overall, increased pace of software development is a major factor promoting use of DevOps automation tools.

SWOT Analysis
Strength: DevOps automation tools help reduce human errors, improve security, increase deployment frequency and speed. They help develop, test and deploy applications quickly and reliably.
Weakness: Initial implementation of DevOps automation tools requires time and investment. Lack of skilled resources to implement and maintain these tools.
Opportunity: Growing adoption of cloud, microservices, containers provides huge scope for DevOps automation tools. Demand is growing from businesses looking to accelerate software delivery and improve operational efficiency.
Threats: Open source alternatives threaten vendors profitability. Resistance to change from traditional software development methods poses challenge to widespread adoption.

Key Takeaways

The global DevOps automation tools market is expected to witness high growth, exhibiting CAGR of 23% over the forecast period, due to increasing need for continuous integration and delivery of software.

Regional analysis

North America is expected to dominate the DevOps automation tools market, owing to strong presence of DevOps vendors in the US and rising demand from organizations to optimize software delivery in the region. The Asia Pacific region is expected to grow at the fastest rate due to growing adoption of DevOps practices among SMEs and large enterprises in countries such as India and China.

Key players

Key players operating in the DevOps automation tools market are Ansible, Puppet, Chef, SaltStack, Docker, Jenkins, Bamboo, Microsoft Team Foundation Server, Octopus Deploy, CA Release Automation, XebiaLabs, Electric Cloud, Red Hat, GitLab, AWS CodeDeploy, CircleCI, Codeship, Spinnaker, Harness, Alibaba Cloud. These players are focusing on developing advanced tools to help streamline software development and delivery processes.

1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it