The Continuous Delivery Market is expected to grow from USD 1.65 billion in 2018 to USD 3.85 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 18.5% during the forecast period. The major drivers that are expected to fuel the growth of the continuous delivery market are some of the business values, such as faster time-to-market, the better quality of product, competitive advantage, higher customer satisfaction, and the reduced cost of development, coupled with the adoption of continuous delivery practices. However, open source continuous delivery tools and projects would dominate commercial continuous delivery tools. This is expected to create barriers for the market growth.
DevOps and Agile technologies offer a huge potential in terms of increased control and flexibility to adapt to any environment. DevOps and Agile development methodologies are linear and sequential development methodologies that provide the flexibility for the changing project requirements as per business needs. The agile development of continuous delivery tools offers effective project management with better business agility. The Agile approach demands more interactions with customers and continuous feedback from them. Hence, the Agile methodology offers the better visibility for every phase of continuous delivery.
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Open source tools are being embraced by many organizations for their testing and Quality Assurance (QA) activities. Moreover, open source tools offer access to the open source community that enables the exchange of new information and helps enterprises with updates on new tools and techniques. Open source testing tools have revolutionized QA and testing. These tools are built on open standards, and are customizable and platform-independent. A few widely used open source testing tools are Selenium, Appium, JUnit, Sahi, Robotium, WebLOAD, Capybara, Selendroid, and JMeter. Moreover, these tools can perform various tests, ranging from functional, performance, security, automation, and Application Programming Interface (API) to compatibility testing.
The scope of this report covers the continuous delivery market analysis by deployment mode, organization size, vertical, and region. Continuous delivery tools can be deployed both on-premises and in the cloud, depending on businesses’ needs and users’ requirements. The on-premises deployment mode gives organizations a complete control over all their systems and data. However, users have to invest huge amounts to deploy continuous delivery tools and maintain their IT infrastructures. On the other hand, the cloud deployment mode benefits organizations with increased scalability, speed, 24/7 service, and enhanced IT security. The demand for Software-as-a-Service (SaaS)-based continuous delivery tools would be rapidly increasing, as these tools serve as a dominant delivery model in meeting IT security needs. Further, the study of the continuous delivery market in terms of organization size is important, as the segment has a direct impact on the adoption of continuous delivery and DevOps tools and services worldwide. Continuous delivery tools enhance the capabilities of Small and Medium-sized Enterprises (SMEs) and large enterprises by identifying gaps in their applications throughout the Systems Development Life Cycle (SDLC). The adoption rate of continuous delivery tools suite among large enterprises would be relatively high as compared to that of SMEs. Continuous delivery practices are adopted across multiple verticals, such as Banking, Financial Services, and Insurance (BFSI), media and entertainment, retail and eCommerce, healthcare, manufacturing, telecommunication, and others (government, energy and utilities, and logistics and transportation).
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As per the geographic analysis, the Asia Pacific (APAC) region is expected to witness the fastest growth rate in the continuous delivery market, due to the region’s nature of rapidly adopting new technologies, making higher investments in digital transformation, and its aim at increasing the Gross Domestic Product (GDP). The region is rapidly investing in technological transformations.
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