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Global Development To Operations Market to reach USD 33.60 billion by the end of 2029

Global Development to Operations Market Size study & Forecast, by Deployment (Cloud, On-premises) by Enterprise Size (SMEs, Large Enterprise), by End-use (IT & Telecom, BFSI, Retail, Manufacturing, Healthcare, Energy & Utilities, Others), and Regional Analysis, 2022-2029

Product Code: ICTNGT-30779731
Publish Date: 20-03-2023
Page: 200

Global Development To Operations Market is valued at approximately USD 9.7 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 16.8% over the forecast period 2022-2029. Development To Operations is a mixed model of software development and IT operation. DevOps Model allows companies to maintain a high level of software quality. DevOps’s purpose is to deliver services faster than traditional system development. DevOps is a combination of people and technology that concentrates on Continuous delivery, thereby ensuring the organization’s efficiency The term DevOps differs from organization to organization. Increasing demand and adoption of cloud technologies, advancements in artificial intelligence, quick software deliveries, and software automation are the major factors driving the growth of the Development to Operations market.

Increased usage of public cloud platforms has increased the demand and adoption of cloud technologies across the globe. According to Lionel Sujay Vailshery (research expert), In 2022, 46% and 45% of respondents were using cloud platforms such as Amazon web services and Azure for major workloads. Additionally, Growing AI technology and increasing investments in AI led to an increase in advancements in AI. For Instance, in 2021, corporate investment in AI was around 94 billion U.S. dollars an increase from 68 billion U.S. dollars in 2020. Increasing demand and adoption of cloud technologies, and advancements in artificial intelligence are the major factors driving the growth of the market. Other important components driving market increase are quick software deliveries and software automation. Furthermore, the Surge in the demand for Advanced technology and the Emerging various customer-oriented strategies by the key market players are the major factors creating market opportunities in the forecast period. However, the Obsolete standards of Development To Operations tools stifle market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Development to Operations Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the increasing demand and delivery of software automation technologies, fast solutions delivery, and developing DevOps tools portfolio. Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as increasing adoption of DevOps tools, increasing investment of key market players in developing development to operations industry, and digitization in the banking sector.

Major market player included in this report are:
Amazon Web Services, Inc.
Atlassian Corporation Plc.
Broadcom Inc.
Cisco Systems, Inc.
Docker, Inc.
Hewlett Packard Enterprise
IBM Corporation
Progress Software Corporation
JFrog Ltd.

Recent Developments in the Market:
 In March 2022, JFrog Ltd. Collaborated with Softline India Ltd. To boost the adoption of DevSecOps and DevOps in India.
 In January 2021, GitLab, a DevOps platform, and IBM Cloud partnered to leverage IBM Cloud Pak to accelerate the development of cloud-based DevOps apps by automating several procedures and improving developer team communication.
Global Development To Operations Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Product, Enterprise Size, End-use, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Deploymentofferings of key players. The detailed segments and sub-segment of the market are explained below:
By Product:

By Enterprise Size:
Large Enterprise

By End-use:
IT & Telecom
Energy & Utilities

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Development to Operations Market, by Region, 2019-2029 (USD Billion)
1.2.2. Development to Operations Market, by Deployment, 2019-2029 (USD Billion)
1.2.3. Development to Operations Market, by Enterprise Size, 2019-2029 (USD Billion)
1.2.4. Development to Operations Market, by End-use, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Development to Operations Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Development to Operations Market Dynamics
3.1. Development to Operations Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing demand and adoption of cloud technologies Advancements in artificial intelligence
3.1.2. Market Challenges Obsolete standards of DevOps tools
3.1.3. Market Opportunities Surge in the demand for Advanced technology Emerging various customer-oriented strategies
Chapter 4. Global Development to Operations Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Development to Operations Market, by Deployment
6.1. Market Snapshot
6.2. Global Development to Operations Market by Deployment, Performance – Potential Analysis
6.3. Global Development to Operations Market Estimates & Forecasts by Deployment 2019-2029 (USD Billion)
6.4. Development to Operations Market, Sub Segment Analysis
6.4.1. Cloud
6.4.2. On-premise
Chapter 7. Global Development to Operations Market, by Enterprise Size
7.1. Market Snapshot
7.2. Global Development to Operations Market by Enterprise Size, Performance – Potential Analysis
7.3. Global Development to Operations Market Estimates & Forecasts by Enterprise Size 2019-2029 (USD Billion)
7.4. Development to Operations Market, Sub Segment Analysis
7.4.1. SMEs
7.4.2. Large Enterprise
Chapter 8. Global Development to Operations Market, by End-use
8.1. Market Snapshot
8.2. Global Development to Operations Market by End-use, Performance – Potential Analysis
8.3. Global Development to Operations Market Estimates & Forecasts by End-use 2019-2029 (USD Billion)
8.4. Development to Operations Market, Sub Segment Analysis
8.4.1. IT & Telecom
8.4.2. BFSI
8.4.3. Retail
8.4.4. Manufacturing
8.4.5. Healthcare
8.4.6. Energy & Utilities
8.4.7. Others
Chapter 9. Global Development to Operations Market, Regional Analysis
9.1. Development to Operations Market, Regional Market Snapshot
9.2. North America Development to Operations Market
9.2.1. U.S. Development to Operations Market Deployment breakdown estimates & forecasts, 2019-2029 Enterprise Size breakdown estimates & forecasts, 2019-2029 End-use breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Development to Operations Market
9.3. Europe Development to Operations Market Snapshot
9.3.1. U.K. Development to Operations Market
9.3.2. Germany Development to Operations Market
9.3.3. France Development to Operations Market
9.3.4. Spain Development to Operations Market
9.3.5. Italy Development to Operations Market
9.3.6. Rest of Europe Development to Operations Market
9.4. Asia-Pacific Development to Operations Market Snapshot
9.4.1. China Development to Operations Market
9.4.2. India Development to Operations Market
9.4.3. Japan Development to Operations Market
9.4.4. Australia Development to Operations Market
9.4.5. South Korea Development to Operations Market
9.4.6. Rest of Asia Pacific Development to Operations Market
9.5. Latin America Development to Operations Market Snapshot
9.5.1. Brazil Development to Operations Market
9.5.2. Mexico Development to Operations Market
9.6. Rest of The World Development to Operations Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Amazon Web Services, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Atlassian Corporation Plc.
10.2.3. Broadcom Inc.
10.2.4. Cisco Systems, Inc.
10.2.5. Docker, Inc.
10.2.6. Hewlett Packard Enterprise
10.2.7. IBM Corporation
10.2.8. Parasoft
10.2.9. Progress Software Corporation
10.2.10. JFrog Ltd.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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