Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Microservices Architecture Market to reach USD 21.58 billion by the end of 2030

Global Microservices Architecture Market Size study & Forecast, by Component (Solution, Service) By Deployment Type (On-premise, Cloud) By Organization Size (Large Enterprises, Small & Medium Enterprises) By Industry Vertical (BFSI, Manufacturing, Retail & E-commerce, IT & Telecom, Others) and Regional Analysis, 2023-2030

Product Code: ICTICTI-34769244
Publish Date: 27-06-2023
Page: 200

Global Microservices Architecture Market is valued approximately USD 5.49 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 18.66% over the forecast period 2023-2030. Microservices architecture is an architectural style for building applications as a collection of small, loosely coupled, and independently deployable services. In this architecture, an application is divided into multiple smaller services, each responsible for a specific business capability. The Microservices Architecture market is expanding because of factors such as increasing adoption of enterprise cloud and growing adoption of IoT connected devices. Services in a microservices architecture communicate with each other through well-defined APIs, typically using lightweight protocols like REST or messaging systems. This loose coupling allows services to evolve independently, enabling flexibility and easy replacement or addition of services. Its emergence has progressively increased during the last few decades.

According to the Statista, in 2022, 80% of enterprise respondents had implemented a hybrid cloud in their organisation. The transition to hybrid cloud solutions is typically done at the price of managing separate private and public clouds. Furthermore, in 2021, 30% of respondents employed multiple public clouds and one private cloud in their business. Overall, multi cloud and hybrid cloud architectures, which incorporate different clouds in one architecture model, are the leading architectures for cloud service delivery. Another important component driving space increase adoption of IoT connected devices. As per Statista, the number of Internet of Things (IoT) connected devices is estimated to reach approx. 17 billion connected devices by 2030. In addition, about 8.6 billion linked devices by 2030, the number of Internet of Things (IoT) connected devices in Greater China is expected to be the highest in the region. Europe and North America are also likely to lead in terms of the number of IoT devices. Also, growing adoption of virtualized infrastructure and rising adoption of the Internet of Things would create a lucrative growth prospectus for the market over the forecast period. However, the high cost of microservices architecture stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Microservices Architecture Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of key market players in the region. According to the Statista, the Infrastructure as a Service segment is estimated to reach USD 69.46 billion in 2023. Furthermore, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising number of enterprises and increasing government initiatives for digitalization in the market space.

Major market player included in this report are:

CA Technologies
IBM corporation,
Microsoft corporation,
Oracle Corporation,
Tata Consultancy Services Limited,
Infosys Limited,
Software AG,
Salesforce, Inc

Recent Developments in the Market:
Ø In June 2022, Salesforce is now connecting heterogeneous data sets using robotic process automation with no-code technology built by its MuleSoft unit. Bots built with an RPA-infused integration platform can now automate much of the effort required to connect data from disparate systems.

Global Microservices Architecture Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Deployment Type, Organization Size, Industry Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü 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 product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component

By Deployment Type

By Organization Size
Large Enterprises
Small & Medium Enterprises

By Industry Vertical
Retail & E-commerce
IT & Telecom

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Microservices Architecture Market, by Region, 2020-2030 (USD Billion)
1.2.2. Microservices Architecture Market, by Component, 2020-2030 (USD Billion)
1.2.3. Microservices Architecture Market, by Deployment Type, 2020-2030 (USD Billion)
1.2.4. Microservices Architecture Market, by Organization Size, 2020-2030 (USD Billion)
1.2.5. Microservices Architecture Market, by Industry Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Microservices Architecture Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Microservices Architecture Market Dynamics
3.1. Microservices Architecture Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing adoption of enterprise cloud Growing adoption of IoT connected devices
3.1.2. Market Challenges High Cost of Microservices Architecture
3.1.3. Market Opportunities Growing adoption of virtualized infrastructure Rising adoption of the Internet of Things (IoT)
Chapter 4. Global Microservices Architecture 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. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Microservices Architecture Market, by Component
5.1. Market Snapshot
5.2. Global Microservices Architecture Market by Component, Performance – Potential Analysis
5.3. Global Microservices Architecture Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Microservices Architecture Market, Sub Segment Analysis
5.4.1. Solution
5.4.2. Service
Chapter 6. Global Microservices Architecture Market, by Deployment Type
6.1. Market Snapshot
6.2. Global Microservices Architecture Market by Deployment Type, Performance – Potential Analysis
6.3. Global Microservices Architecture Market Estimates & Forecasts by Deployment Type 2020-2030 (USD Billion)
6.4. Microservices Architecture Market, Sub Segment Analysis
6.4.1. On-premise
6.4.2. Cloud
Chapter 7. Global Microservices Architecture Market, by Organization Size
7.1. Market Snapshot
7.2. Global Microservices Architecture Market by Organization Size, Performance – Potential Analysis
7.3. Global Microservices Architecture Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
7.4. Microservices Architecture Market, Sub Segment Analysis
7.4.1. Large Enterprises
7.4.2. Small & Medium Enterprises
Chapter 8. Global Microservices Architecture Market, by Industry Vertical
8.1. Market Snapshot
8.2. Global Microservices Architecture Market by Industry Vertical, Performance – Potential Analysis
8.3. Global Microservices Architecture Market Estimates & Forecasts by Industry Vertical 2020-2030 (USD Billion)
8.4. Microservices Architecture Market, Sub Segment Analysis
8.4.1. BFSI
8.4.2. Manufacturing
8.4.3. Retail & E-commerce
8.4.4. IT & Telecom
8.4.5. Others
Chapter 9. Global Microservices Architecture Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Microservices Architecture Market, Regional Market Snapshot
9.4. North America Microservices Architecture Market
9.4.1. U.S. Microservices Architecture Market Component breakdown estimates & forecasts, 2020-2030 Deployment Type breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030 Industry Vertical breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Microservices Architecture Market
9.5. Europe Microservices Architecture Market Snapshot
9.5.1. U.K. Microservices Architecture Market
9.5.2. Germany Microservices Architecture Market
9.5.3. France Microservices Architecture Market
9.5.4. Spain Microservices Architecture Market
9.5.5. Italy Microservices Architecture Market
9.5.6. Rest of Europe Microservices Architecture Market
9.6. Asia-Pacific Microservices Architecture Market Snapshot
9.6.1. China Microservices Architecture Market
9.6.2. India Microservices Architecture Market
9.6.3. Japan Microservices Architecture Market
9.6.4. Australia Microservices Architecture Market
9.6.5. South Korea Microservices Architecture Market
9.6.6. Rest of Asia Pacific Microservices Architecture Market
9.7. Latin America Microservices Architecture Market Snapshot
9.7.1. Brazil Microservices Architecture Market
9.7.2. Mexico Microservices Architecture Market
9.8. Middle East & Africa Microservices Architecture Market
9.8.1. Saudi Arabia Microservices Architecture Market
9.8.2. South Africa Microservices Architecture Market
9.8.3. Rest of Middle East & Africa Microservices Architecture Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. CA Technologies Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. IBM corporation,
10.3.3. Microsoft corporation,
10.3.4. Oracle Corporation,
10.3.5. Tata Consultancy Services Limited,
10.3.6. Cognizant,
10.3.7. Infosys Limited,
10.3.8. Datawire,
10.3.9. Software AG,
10.3.10. Salesforce, Inc

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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
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.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com


Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.
Enquiry Now