Continuous Delivery Market Insights, Growth, Key Players And Outlook By 2033

The new report published by The Business Research Company, titled "Continuous Delivery Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

As per the report, the continuous delivery market size has grown exponentially in recent years. It will grow from $3.76 billion in 2023 to $4.52 billion in 2024 at a compound annual growth rate (CAGR) of 20.2%. The continuous delivery market size is expected to see exponential growth in the next few years. It will grow to $9.85 billion in 2028 at a compound annual growth rate (CAGR) of 21.5%.

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Automation Role In Driving Continuous Delivery Market Growth
The growing adoption of automation is expected to propel the growth of the continuous delivery market going forward. Automation refers to technological applications that require little or no human intervention. Continuous delivery automates the software process by automatically deploying all code changes to the testing and production environment, therefore making the process of software testing more efficient. For instance, in May 2023, according to Formstack, a US-based software company, 76% of organizations use automation to automate their daily workflows, automating data and reporting for planning purposes is used by 58%, and compliance with regulations is used by 36% of firms. Therefore, the growing adoption of automation will drive the continuous delivery market growth.

Technology Advancements Reshaping The Continuous Delivery Market
Technology advancement is the key trend gaining popularity in the continuous delivery market. Major companies in the market are introducing new technologies such as Cloud Deploy which contains self-managed continuous delivery solutions to sustain their position in the market. For instance, in September 2021, Google, a US-based software and technology developer, introduced Google Cloud Deploy which helps an opinionated continuous delivery service that simplifies, accelerates, and improves the reliability of continuous delivery to Google Kubernetes Engine. With the help of self-managed continuous delivery, solutions help to get reclaim the time spent maintaining your continuous delivery tooling and time spent on delivering value to your customers. It also provides discrete resource access control, execution-level security, and flow management tools such as release promotion, rollback, and approvals for protection against unwanted approvals.

The continuous delivery market covered in this report is segmented -

1) By Pipeline Stages: Source Stage, Build Stage, Test Stage, Deploy Stage
2) By Deployment Mode: On-Premises, Cloud
3) By Organization Size: Small And Medium Sized Enterprises (SMES), Large Enterprises
4) By End User Industry: Banking, Financial Services, And Insurance, Telecom And IT, Retail And Consumer Goods, Healthcare And Life Sciences, Manufacturing, Government And Defense, Other End User Industries

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Major companies operating in the continuous delivery market report are International Business Machines Corporation, Microsoft Corporation, XebiaLabs Inc., Atlassian Corporation Plc, Jenkins, Travis CI GmbH, CircleCI Inc., GitLab Inc., JFrog Ltd., CloudBees Inc., Broadcom Inc., Thoughtworks Inc., SemaphoreCI Inc., AppVeyor Systems Inc., Buddy Platform Limited, Wercker B. V., Beekeeper Studio Inc., Shippable Inc., Bitergia LLC, Verizon Media, Electric Cloud Inc., Chef Software, appLariat, Clarive, Spirent Communications plc, VMware Inc.

Contents of the report:
1. Executive Summary
2. Continuous Delivery Market Report Structure
3. Continuous Delivery Market Trends And Strategies
4. Continuous Delivery Market - Macro Economic Scenario
5. Continuous Delivery Market Size And Growth
…..
27. Continuous Delivery Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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