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Global Subscription E-Commerce Platform Market to reach USD XX billion by the end of 2029.

Global Subscription E-Commerce Platform Market Size study & Forecast, by Type (Headless E-Commerce and CMS-based E-Commerce (Non-Headless)) and Regional Analysis, 2022-2029

Product Code: ICTICTI-22763722
Publish Date: 25-01-2023
Page: 200

Global Subscription E-Commerce Platform Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2029. Subscription E-Commerce Platform consists of e-commerce services by entities such as organizations, partnerships, sole traders, etc. that provide delivery of online services and products through subscriptions or apps. The Subscription E-Commerce Platform market is expanding because of factors such as the rising e-commerce industry and growing public inclination toward online buying.

According to UNCTAD in 2021, the global e-commerce market has jumped to around USD 26.7 trillion in 2019 with an increase of around 4% from 2018 due to rising online sales. The Republic of Korea is the dominant region with a share of around 25.9% in 2020. Also, the percentage of retail sales or online shares of the e-commerce industry across Australia, Canada, China, Singapore, the United Kingdom, and the United States is around 9.4%, 6.2%, 24.9%,11.7%, 23.3%, and 14%. Whereas rising data analytics integration with e-commerce and growing strategic collaborations and partnerships create lucrative opportunities for the market. However, upgrades to cyber security to protect customer privacy hamper the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Subscription E-Commerce Platform Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the increasing e-commerce industry, the rising influence of social media platforms, and celebrity endorsement, etc. Whereas North America is expected to grow significantly during the forecast period, owing to factors such as increasing usage of smartphones, internet penetration, and rising demand for subscription-based e-commerce in the forecast period

Major market players included in this report are:
Adobe Commerce
Hello Fresh,
Salsita Software
Salesforce Commerce Cloud

Recent Developments in the Market:
 In September 2022, Commerce tools expanded its global reach by establishing a new product development hub in Valencia, Spain, owing to the city’s significant infrastructure and access to top talent from its many prestigious universities, as well as the area’s growing startup ecosystem.
 In August 2022, Oro Commerce 5.1 LTS, a new Long-Term Support (LTS) version with new features, capabilities, and technology built on PHP 8.2 and NodeJS 18 and removing MySQL, is scheduled to be released in March 2023.
Global Subscription E-Commerce Platform 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 Type, 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 the market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study.

The report also caters to 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 a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Headless E-Commerce
CMS-based E-Commerce (Non-Headless

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. Subscription E-Commerce Platform Market, by Region, 2019-2029 (USD Billion)
1.2.2. Subscription E-Commerce Platform Market, by Type, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Subscription E-Commerce Platform 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 Subscription E-Commerce Platform Market Dynamics
3.1. Subscription E-Commerce Platform Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Rising e-commerce industry Growing public inclination toward online buying
3.1.2. Market Challenges Upgrades to cyber security to protect customer privacy
3.1.3. Market Opportunities Big data analytics integration with e-commerce Growing strategic collaborations and partnerships
Chapter 4. Global Subscription E-Commerce Platform 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 Subscription E-Commerce Platform Market, by Type
6.1. Market Snapshot
6.2. Global Subscription E-Commerce Platform Market by Type, Performance – Potential Analysis
6.3. Global Subscription E-Commerce Platform Market Estimates & Forecasts by Type 2019-2029 (USD Billion)
6.4. Subscription E-Commerce Platform Market, Sub Segment Analysis
6.4.1. Headless E-Commerce
6.4.2. CMS-based E-Commerce (Non-Headless)
Chapter 7. Global Subscription E-Commerce Platform Market, Regional Analysis
7.1. Subscription E-Commerce Platform Market, Regional Market Snapshot
7.2. North America Subscription E-Commerce Platform Market
7.2.1. U.S. Subscription E-Commerce Platform Market Type breakdown estimates & forecasts, 2019-2029
7.2.2. Canada Subscription E-Commerce Platform Market
7.3. Europe Subscription E-Commerce Platform Market Snapshot
7.3.1. U.K. Subscription E-Commerce Platform Market
7.3.2. Germany Subscription E-Commerce Platform Market
7.3.3. France Subscription E-Commerce Platform Market
7.3.4. Spain Subscription E-Commerce Platform Market
7.3.5. Italy Subscription E-Commerce Platform Market
7.3.6. Rest of Europe Subscription E-Commerce Platform Market
7.4. Asia-Pacific Subscription E-Commerce Platform Market Snapshot
7.4.1. China Subscription E-Commerce Platform Market
7.4.2. India Subscription E-Commerce Platform Market
7.4.3. Japan Subscription E-Commerce Platform Market
7.4.4. Australia Subscription E-Commerce Platform Market
7.4.5. South Korea Subscription E-Commerce Platform Market
7.4.6. Rest of Asia Pacific Subscription E-Commerce Platform Market
7.5. Latin America Subscription E-Commerce Platform Market Snapshot
7.5.1. Brazil Subscription E-Commerce Platform Market
7.5.2. Mexico Subscription E-Commerce Platform Market
7.6. Rest of The World Subscription E-Commerce Platform Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Adobe Commerce Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.2.2. BigCommerce
8.2.3. CommerceTools
8.2.4. OroCommerce
8.2.5. Saleor
8.2.6. Hello Fresh,
8.2.7. Salsita Software
8.2.8. Salesforce Commerce Cloud
8.2.9. SAP
8.2.10. Shopify
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. 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.

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