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Global Payment Orchestration Platform Market to reach USD 4297.99 million by 2028.

Global Payment Orchestration Platform Market Size study, by Type (B2B, B2C, C2C), By Functionalities (Cross Border Transactions, Risk Management, Advanced Analytics & Reporting), By End-use (BFSI, E-commerce, Healthcare, Travel & Hospitality, Others) and Regional Forecasts 2022-2028

Product Code: BFBFSI-73699330
Publish Date: 14-08-2022
Page: 200

Global Payment Orchestration Platform Market is valued approximately USD 927 million in 2021 and is anticipated to grow with a healthy growth rate of more than 24.5 % over the forecast period 2022-2028. Payment orchestration solutions empower businesses to leverage local relationships by allowing them to manage complicated payment methods, simplifying and easing the process. This entails allowing clients to pay in a variety of currencies and payment methods regardless of their location. POP streamlines back-end procedures, protects merchants from missed payments, and lowers operating expenses. During the projection period, the industry will be driven by the increasing prevalence of e-commerce platforms, as e-commerce vendors implement Payment Orchestration Platforms (POPs) to assure customer security and payment integrity. Furthermore, the growing use of cellphones and the internet adds considerably to the market’s growth. The increased use of smartphones for online transactions via digital payment systems is projected to drive industry development. Platforms for payment orchestration are supporting suppliers in expediting Buy Now Pay Later (BNPL) payments. For example, a JP Morgan Chase survey published in November 2021 discovered that approximately 25% of small and medium-sized enterprises in the United States had introduced new payment methods to attract clients. As a result, the growing use of payment orchestration platforms to build a digital payment ecosystem plays an important role in industry development. Cyber threats and fraudulent activities, on the other hand, hinder market expansion over the projection period of 2022-2028.

The key regions considered for the Global Payment Orchestration Platform Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America led the worldwide industry. This region’s supremacy may be ascribed to the presence of multiple important players across North America, as well as the growing necessity to combat fraudulent operations due to escalating cybercrime. During the projection period, Asia Pacific is predicted to grow at the quickest rate. This expansion might be linked to the expanding e-commerce industry as well as rising foreign investment in the region. Furthermore, various financial firms are developing POP for e-commerce businesses in Asia Pacific, which will drive regional market growth even further.

Major market player included in this report are:
CellPoint Digital
IXOLIT Group
Payoneer Inc.
APEXX Fintech Ltd.
Rebilly
Spreedly
Modo Payments
Akurateco
BNT Soft
aye4fin GmbH
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 eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available 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 Type:
B2B
B2C
C2C
By Functionalities
Cross Border Transactions
Risk Management
Advanced Analytics & Reporting
By End-use
BFSI
E-commerce
Healthcare
Travel & Hospitality
Others

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Payment Orchestration Platform Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Payment Orchestration Platform Market, by Region, 2020-2028 (USD Million)
1.2.2. Payment Orchestration Platform Market, by Type, 2020-2028 (USD Million)
1.2.3. Payment Orchestration Platform Market, by Functionalities, 2020-2028 (USD Million)
1.2.4. Payment Orchestration Platform Market, by End Use, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Payment Orchestration 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 Payment Orchestration Platform Market Dynamics
3.1. Payment Orchestration Platform Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Growing prevalence of e-commerce platforms
3.1.1.2. Increasing penetration of smartphones and the internet
3.1.2. Market Challenges
3.1.2.1. Increasing cyber Threats and Fraudulent Activities
3.1.3. Market Opportunities
3.1.3.1. investments in BFSI for payment security
Chapter 4. Global Payment Orchestration 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
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Payment Orchestration Platform Market, by Type
6.1. Market Snapshot
6.2. Global Payment Orchestration Platform Market by Type, Performance – Potential Analysis
6.3. Global Payment Orchestration Platform Market Estimates & Forecasts by Type 2018-2028 (USD Million)
6.4. Payment Orchestration Platform Market, Sub Segment Analysis
6.4.1. B2B
6.4.2. B2C
6.4.3. C2C
Chapter 7. Global Payment Orchestration Platform Market, by Functionalities
7.1. Market Snapshot
7.2. Global Payment Orchestration Platform Market by Functionalities, Performance – Potential Analysis
7.3. Global Payment Orchestration Platform Market Estimates & Forecasts by Functionalities 2018-2028 (USD Million)
7.4. Payment Orchestration Platform Market, Sub Segment Analysis
7.4.1. Cross Border Transactions
7.4.2. Risk Management
7.4.3. Advanced Analytics & Reporting
Chapter 8. Global Payment Orchestration Platform Market, by End Use
8.1. Market Snapshot
8.2. Global Payment Orchestration Platform Market by End Use, Performance – Potential Analysis
8.3. Global Payment Orchestration Platform Market Estimates & Forecasts by End Use 2018-2028 (USD Million)
8.4. Payment Orchestration Platform Market, Sub Segment Analysis
8.4.1. BFSI
8.4.2. E-commerce
8.4.3. Healthcare
8.4.4. Travel & Hospitality
8.4.5. Others
Chapter 9. Global Payment Orchestration Platform Market, Regional Analysis
9.1. Payment Orchestration Platform Market, Regional Market Snapshot
9.2. North America Payment Orchestration Platform Market
9.2.1. U.S. Payment Orchestration Platform Market
9.2.1.1. Type breakdown estimates & forecasts, 2018-2028
9.2.1.2. Functionalities breakdown estimates & forecasts, 2018-2028
9.2.1.3. End Use breakdown estimates & forecasts, 2018-2028
9.2.2. Canada Payment Orchestration Platform Market
9.3. Europe Payment Orchestration Platform Market Snapshot
9.3.1. U.K. Payment Orchestration Platform Market
9.3.2. Germany Payment Orchestration Platform Market
9.3.3. France Payment Orchestration Platform Market
9.3.4. Spain Payment Orchestration Platform Market
9.3.5. Italy Payment Orchestration Platform Market
9.3.6. Rest of Europe Payment Orchestration Platform Market
9.4. Asia-Pacific Payment Orchestration Platform Market Snapshot
9.4.1. China Payment Orchestration Platform Market
9.4.2. India Payment Orchestration Platform Market
9.4.3. Japan Payment Orchestration Platform Market
9.4.4. Australia Payment Orchestration Platform Market
9.4.5. South Korea Payment Orchestration Platform Market
9.4.6. Rest of Asia Pacific Payment Orchestration Platform Market
9.5. Latin America Payment Orchestration Platform Market Snapshot
9.5.1. Brazil Payment Orchestration Platform Market
9.5.2. Mexico Payment Orchestration Platform Market
9.6. Rest of The World Payment Orchestration Platform Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. CellPoint Digital
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. IXOLIT Group
10.2.3. Payoneer Inc.
10.2.4. APEXX Fintech Ltd.
10.2.5. Rebilly
10.2.6. Spreedly
10.2.7. Modo Payments
10.2.8. Akurateco
10.2.9. BNT Soft
10.2.10. aye4fin GmbH
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:
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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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