The application release automation market is anticipated to flourish at a strong CAGR of 15.3% between 2023 and 2033. The market is expected to hold a market share of US$ 12.14 billion by 2033, while the market is likely to reach a value of US$ 2.91 billion in 2023.
| Attributes | Details |
|---|---|
| Market CAGR (2023 to 2033) | 15.3% |
| Market Size (2023) | US$ 2.91 billion |
| Market Size (2033) | US$ 12.14 billion |
Application release automation encompasses the product release lifecycle, which ideally comprises the development stage, exposure to various payloads, and, finally, production of the said product. The software tool coordinates the successful project execution with negligible downtime and releases software while helping the firms consistently deploy software.
The extension of integrated support available across the application release automation Cycle characterizes good application release automation. The application release automation's key components include version control for software coding teams, release scheduling and versioning, and sandbox-based code testing.
Application release automation is the structured release automation technique which is nothing but a judicious combination of workload automation and release management tools under the ambit of software development delivery process guidelines. Application release orchestration (ARO) is the successful execution by introducing an application to the external world under given operating conditions, finally leading to production.
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Growing Dependence on IT Services to Strengthen the Market
Dependency on IT services has magnified the demand for data centers across the globe. In February 2020, Microsoft announced to open a data center region in Spain to assist in the acceleration of the digital transformation of public and private entities of all sizes. It may help them to scale, innovate, and migrate their businesses to the cloud in a secure way and it may also drive the market in the forecasted period.
Furthermore, agility and speed to market are increasing growth factors for the application release automation market. Version control or source control helps facilitate the entire software team in envisioning product code changes. Application release automation ensures full uptime by scheduling upgrades in real time and on the go.
All leading public cloud hosts (AWS, Microsoft Azure, Google, IBM, Oracle, HP, etc.) have proprietary application release automation platforms available for enterprise software development and lifecycle management.
The application release automation market has its share of limitations, including failed execution of software or applications and the enormity of configurations that put a barrier to the growth of the application release automation market. Other factors hampering the market growth include poor traceability between incident records and release records and poor traceability between incident records release records.
However, increasing expenditure on digital transformation is expected to counter the hampering factors and act as a significant opportunity for the market.
For instance, in February 2020, Microsoft announced the continuation of its plan, 'Innovate for Mexico,' to contribute to the country's development. The most vital pillar of the initiative is focused on boosting Mexico's digital transformation through democratizing access to technology.
The company announced plans to establish a new cloud data center region in Mexico to deliver its intelligent and trusted cloud services to serve Mexico’s public entities, organizations, and Mexican society, including Microsoft Azure, Office 365, Dynamics 365, and the Power Platform.
Principal Consultant
IT and Telecommunications to Offer Immense Growth Opportunities to the Application Release Automation Market
According to Ericson's 2019 report on the mobile industry, by 2024, 1.9 billion 5G cellular subscriptions may boost the demand for IoT devices. The reduced prices of smartphones and laptops and the development of IoT owing to technological evolution have transformed the globe into a cluster of billions of connected devices that have generated the need to be updated quickly to be secure, productive, and efficient.
An increase in the rapid expansion of 5G availability is boosting the growth of IoT in several sectors and thus strengthening the market. IT and Telecommunications sector is projected to have remunerative growth opportunities for the application release automation market during the forecast period.
| Countries | Revenue Share % (2022) |
|---|---|
| United States | 13.2% |
| Germany | 10.1% |
| Japan | 4.3% |
| Australia | 2.4% |
| North America | 30.2% |
| Europe | 18.2% |
| Countries | CAGR % (2023 to 2033) |
|---|---|
| China | 13.2% |
| India | 18.2% |
| United Kingdom | 9.2% |
Presence of Giant Players in the Region to Benefit the Regional Market
North America is slated to hold the leading share of the application release automation market during the forecast period. The market share of North America in 2022 is listed at 30.2%.
According to World Economic Forum 2018 Global Competitive Index, the United States dominates the global market in technological innovation. The country leads the market owing to its business dynamism, financing mechanisms, and vibrant innovation ecosystem.
Companies in the region are making significant investments to add new specifications and better user interfaces, thus, controlling the market. In 2019, Airbnb, Inc. made a significant foundational investment to augment and support its community for the forthcoming years.
It included investing in building out and marketing new initiatives and offerings such as Airbnb Experiences, Airbnb Luxe, Airbnb Plus, Airbnb China, and hotel improvements to the technology platform. Attributed to such factors, North America is expected to maintain its dominant position in the market throughout the forecast period.
Increasing Expenditure on Digital Transformation to Augment the Regional Market Size
Europe is projected to be the second-leading market for the application release automation market. In 2022, the region is likely to procure about 18.2% of the global revenue. This can be attributed to the growing investment in digital transformation.
The presence of renowned companies in the region is projected to offer various growth opportunities to the regional market during the forecast period. Players such as Accenture, SAP, Capgemini, Micro Focus, and others are likely to make a significant contribution in augmenting the market size in the forecast period.
In September 2020, Accenture announced the formation of Accenture Cloud First with an investment of US$ 3 billion over three years to help clients across all industries rapidly become ‘cloud first’ enterprises and boost their digital transformation to realize greater value at speed and scale.
Favorable Initiatives Taken by Players of Developing Countries to Boost the Regional Market.
The market for application release automation is expected to witness significant opportunities for expansion in the APAC region. This can be attributed to the presence of developing nations like India, China, Japan, and others, making significant investments to expedite digital transformation and favorable initiatives by regional players.
In 2022, Malaysia’s Alibaba Cloud Intelligence’s general manager Kun Huang announced a new program called Alibaba Cloud Digital Empowerment Program.
The initiative aims to grow resources into programs, including cloud credit empowerment, training workshops, and dedicated tech service to boost the company's cloud journey and augment the digitalization potential amid the post-pandemic era. Such initiatives in the region are expected to benefit the regional market during the forecast period.
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Chef (United States), Authorize (Israel), RobCorp (United States), Leapwork (Denmark), Red Points (Spain), PatSnap (Singapore), Questel (France), SnapDragon Monitoring (United Kingdom), and Flowhaven (2016), are some emerging names in the global application release automation market.
New players in the market are taking various initiatives to strengthen their position in the market. Flowhaven, a Finnish company established in 2016, offers real-time cloud-based license management solutions. It enables users to manage team workflows, helps to reduce time spent on reviews, and enhances intellectual property monetization solutions. It also provides customer management tools and evaluates the profitability of deals.
In January 2021, the company closed at US$ 16 million in Series A funding. The new round was led by Sapphire Sport, the part of Sapphire Ventures that specializes in sports, media, and lifestyle brands—existing investors Global Founders Capital and Icebreaker. Vc also returned, bringing Flowhaven’s total raise to date to US$ 21.5 million.
Key players in the global application release automation market include Clarive Software S.L, CA Technologies, Automic Software, IBM Corporation VMware, Inc., HP, Inc., Electric Cloud, Inc., BMC Software, Serena Software, Inc., and XebiaLabs, Inc.
Recent Developments:
The spiral model application release automation was the leading segment based on models type.
The market is valued at US$ 2.91 billion in 2023.
North America witnessed higher growth by capturing a market share of 30.2% in 2022.
The market is likely to thrive at a CAGR of 15.3% through 2033.
The growing dependence on IT services drives market growth.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Models 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Models, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Models, 2023 to 2033 5.3.1. Software Prototyping 5.3.2. Incremental Model 5.3.3. Agile Model 5.3.4. Waterfall Model 5.3.5. Spiral Model 5.4. Y-o-Y Growth Trend Analysis By Models, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Models, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033 6.3.1. On- premise 6.3.2. Cloud 6.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 7.1. Introduction 7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 7.3.1. North America 7.3.2. Latin America 7.3.3. Western Europe 7.3.4. Eastern Europe 7.3.5. South Asia and Pacific 7.3.6. East Asia 7.3.7. Middle East and Africa 7.4. Market Attractiveness Analysis By Region 8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 8.2.1. By Country 8.2.1.1. USA. 8.2.1.2. Canada 8.2.2. By Models 8.2.3. By Deployment Type 8.3. Market Attractiveness Analysis 8.3.1. By Country 8.3.2. By Models 8.3.3. By Deployment Type 8.4. Key Takeaways 9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. Brazil 9.2.1.2. Mexico 9.2.1.3. Rest of Latin America 9.2.2. By Models 9.2.3. By Deployment Type 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Models 9.3.3. By Deployment Type 9.4. Key Takeaways 10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. United Kingdom. 10.2.1.3. France 10.2.1.4. Spain 10.2.1.5. Italy 10.2.1.6. Rest of Western Europe 10.2.2. By Models 10.2.3. By Deployment Type 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Models 10.3.3. By Deployment Type 10.4. Key Takeaways 11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Poland 11.2.1.2. Russia 11.2.1.3. Czech Republic 11.2.1.4. Romania 11.2.1.5. Rest of Eastern Europe 11.2.2. By Models 11.2.3. By Deployment Type 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Models 11.3.3. By Deployment Type 11.4. Key Takeaways 12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. India 12.2.1.2. Bangladesh 12.2.1.3. Australia 12.2.1.4. New Zealand 12.2.1.5. Rest of South Asia and Pacific 12.2.2. By Models 12.2.3. By Deployment Type 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Models 12.3.3. By Deployment Type 12.4. Key Takeaways 13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. South Korea 13.2.2. By Models 13.2.3. By Deployment Type 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Models 13.3.3. By Deployment Type 13.4. Key Takeaways 14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. GCC Countries 14.2.1.2. South Africa 14.2.1.3. Israel 14.2.1.4. Rest of MEA 14.2.2. By Models 14.2.3. By Deployment Type 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Models 14.3.3. By Deployment Type 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. USA. 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2022 15.1.2.1. By Models 15.1.2.2. By Deployment Type 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2022 15.2.2.1. By Models 15.2.2.2. By Deployment Type 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2022 15.3.2.1. By Models 15.3.2.2. By Deployment Type 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2022 15.4.2.1. By Models 15.4.2.2. By Deployment Type 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2022 15.5.2.1. By Models 15.5.2.2. By Deployment Type 15.6. United Kingdom. 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2022 15.6.2.1. By Models 15.6.2.2. By Deployment Type 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2022 15.7.2.1. By Models 15.7.2.2. By Deployment Type 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2022 15.8.2.1. By Models 15.8.2.2. By Deployment Type 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2022 15.9.2.1. By Models 15.9.2.2. By Deployment Type 15.10. Poland 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2022 15.10.2.1. By Models 15.10.2.2. By Deployment Type 15.11. Russia 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2022 15.11.2.1. By Models 15.11.2.2. By Deployment Type 15.12. Czech Republic 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2022 15.12.2.1. By Models 15.12.2.2. By Deployment Type 15.13. Romania 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2022 15.13.2.1. By Models 15.13.2.2. By Deployment Type 15.14. India 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2022 15.14.2.1. By Models 15.14.2.2. By Deployment Type 15.15. Bangladesh 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2022 15.15.2.1. By Models 15.15.2.2. By Deployment Type 15.16. Australia 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2022 15.16.2.1. By Models 15.16.2.2. By Deployment Type 15.17. New Zealand 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2022 15.17.2.1. By Models 15.17.2.2. By Deployment Type 15.18. China 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2022 15.18.2.1. By Models 15.18.2.2. By Deployment Type 15.19. Japan 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2022 15.19.2.1. By Models 15.19.2.2. By Deployment Type 15.20. South Korea 15.20.1. Pricing Analysis 15.20.2. Market Share Analysis, 2022 15.20.2.1. By Models 15.20.2.2. By Deployment Type 15.21. GCC Countries 15.21.1. Pricing Analysis 15.21.2. Market Share Analysis, 2022 15.21.2.1. By Models 15.21.2.2. By Deployment Type 15.22. South Africa 15.22.1. Pricing Analysis 15.22.2. Market Share Analysis, 2022 15.22.2.1. By Models 15.22.2.2. By Deployment Type 15.23. Israel 15.23.1. Pricing Analysis 15.23.2. Market Share Analysis, 2022 15.23.2.1. By Models 15.23.2.2. By Deployment Type 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Models 16.3.3. By Deployment Type 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Automic Software, Inc. 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.2. CA Technologies 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.3. IBM Corporation 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.4. VMware, Inc. 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.5. BMC Software Inc. 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.6. HP, Inc. 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.7. Electric Cloud, Inc. 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.8. Serena Software, Inc. 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.9. Clarive Software S.L 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.10. XebiaLabs, Inc. 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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Application Release Automation Market
