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
