
India Retail Digital P2M Payment Aggregation Services Market
Description
India Retail Digital P2M Payment Aggregation Services Market
India Retail Digital P2M Payment Aggregation Services Market By Type (Cross-Border Payment, Local Payment) – Covid-19 Impact Analysis, Post Covid Analysis, Opportunities, Trends And Forecast From 2021 to 2034
The India Retail Digital P2M Payment Aggregation Services market was valued at $1.82 Billion in 2023 and is anticipated to grow at a CAGR of 14.54% from 2024 to 2034. This growth is attributed to several macro and microeconomic factors such as
Surge in e-commerce
The surge in e-commerce is a significant driving factor in the India retail digital P2M (Person-to-Merchant) payment aggregation services market. As e-commerce rapidly expands in India, it has led to a substantial increase in online transactions, creating a demand for efficient and secure digital payment solutions. The convenience and efficiency of e-commerce shopping necessitate quick and hassle-free payment processes, driving the adoption of P2M payment aggregation services. This growth in e-commerce has also coincided with a broader shift towards digital payment methods, such as digital wallets, UPI, and credit and debit cards. P2M payment aggregation services integrate multiple payment methods into a single platform, making it easier for merchants to manage payments and for consumers to choose their preferred payment option. Additionally, e-commerce platforms provide small and medium enterprises (SMEs) with opportunities to reach a wider customer base, and these businesses require scalable and secure payment processing solutions offered by P2M services. The importance of secure payment solutions has increased with the growth of e-commerce, as consumers need assurance that their financial information is protected. P2M payment aggregation services, with their advanced security features, help build trust among users. Furthermore, government initiatives like Digital India promote cashless transactions and digital literacy, encouraging more people to shop online and use digital payment methods. The integration of emerging technologies, such as artificial intelligence and machine learning, by e-commerce platforms enhances customer experience and streamlines operations, further driving the demand for personalized and efficient payment solutions provided by P2M payment aggregation services.
Further several factors restraining the market growth include
Cybersecurity threats
Cybersecurity threats are a significant restraining factor in the India retail digital P2M (Person-to-Merchant) payment aggregation services market, impacting both growth and trust in digital payment systems. As e-commerce and digital transactions increase, so do the risks of cyber attacks, fraud, and data breaches. These threats lead to potential data breaches and financial losses, undermining confidence in digital payment systems as sensitive consumer and merchant information may be exposed, leading to identity theft and unauthorized transactions. Such incidents erode trust among users, making them hesitant to adopt or continue using digital payment services. Additionally, the high costs of implementing robust cybersecurity measures, including advanced security technologies and regular audits, pose a financial burden, particularly for smaller companies and startups. Regulatory compliance with stringent data protection laws adds another layer of complexity and cost, with non-compliance resulting in severe penalties. The evolving nature of cyber threats requires continuous updates and improvements to security systems, straining resources and diverting focus from other business areas. Enhanced security measures can also complicate the user experience, introducing friction through multi-factor authentication and frequent security checks, potentially deterring users. Balancing the need for strong security with a seamless user experience is essential but challenging. Overall, cybersecurity threats significantly restrain the market by creating financial risks, eroding trust, imposing high costs, complicating regulatory compliance, and affecting customer experience.
Wider payment options and collaborations and alliances in the Retail Digital P2M Payment Aggregation Services market are expected to generate higher avenues during the forecast period.
In the wake of the COVID-19 pandemic, supply chain disruptions have led to supply shortages or lower demand in the Retail Digital P2M Payment Aggregation Services market. The pandemic has caused a decline in new orders and a corresponding decrease in Purposeion.
This section will analyze how COVID-19 has impacted supply chains, leading to shortages and lower demand for Retail Digital P2M Payment Aggregation Services.
In terms of COVID-19 impact, the Retail Digital P2M Payment Aggregation Services market report also includes the following data points:
Impact on Retail Digital P2M Payment Aggregation Services market size
Operating Weights Trend, Preferences, and Budget Impact
Regulatory Framework/Outdoor Policies
Key Players' Strategy to Tackle Negative Impact/Post-COVID Strategies
Opportunity in the Retail Digital P2M Payment Aggregation Services market
Key Insight in the report:
The India Retail Digital P2M Payment Aggregation Services market report covers an executive summary, market dynamics, COVID impact & post-COVID scenario, market size and forecast, competitive intelligence, market positioning, and Purposes.
Our report covers extensive competitive intelligence which includes the following data points:
Business Overview
Business Segment Data
Financial Data
Purpose Segment Analysis and Specification
Recent Development and Company Strategy Analysis
SWOT Analysis
Retail Digital P2M Payment Aggregation Services Market Segmentation:
Type
Cross-Border Payment
Local Payment
Key Players Included in the Report:
IndiaIdeas.com Limited
Pine Labs Private Limited
Paytm
PayPhi Commerce Private Limited
In-Solutions Global Limited
PhonePe Private Limited Merchant payment 3668.59
Worldline ePayments India Private Limited
Table of Contents
59 Pages
- CHAPTER 1. Executive Summary
- CHAPTER 2. Scope of the Study
- 2.1. Market Definition
- 2.2. Market Scope & Segmentation
- 2.2.1. Objective of Report
- CHAPTER 3. Evolve BI Methodology
- 3.1. Data Collection & Validation Approach
- 3.2. Market Size Estimation and Forecast
- CHAPTER 4. Market Insights and Trends
- 4.1. Value Chain Analysis
- 4.1.1. Customer Initiation
- 4.1.2. Merchant Onboarding
- 4.1.3. Transaction Processing
- 4.1.4. Settlement
- 4.2. Porter’s Five Forces Analysis
- 4.2.1. Bargaining Power of Buyers
- 4.2.2. Bargaining Power of Suppliers
- 4.2.3. Threat of New Entrant
- 4.2.4. Threat of Substitute
- 4.2.5. Industry Rivalry
- 4.3. COVID-19 Impact and Post COVID Scenario on Online P2M Payment Aggregator Market
- 4.3.1. Impact of COVID-19
- 4.3.2. Government Support and Industry Revival Policies
- 4.3.3. Measures Taken by Companies to Mitigate Negative Impact
- 4.3.4. Post COVID Trend
- CHAPTER 5. Market Dynamics
- 5.1. Introduction
- 5.2. Drivers
- 5.2.1. Surge in E-commerce
- 5.2.2. Mobile payment Boom
- 5.2.3. Growing Internet Access and Digital Literacy
- 5.3. Restraints
- 5.3.1. Cybersecurity Threats
- 5.4. Opportunity
- 5.4.1. Wider Payment Options
- CHAPTER 6. India Retail Digital P2M Payment Aggregation Services Market, By Type
- 6.1. Introduction
- 6.1.1. Cross-Border Payment
- 6.1.2. Local Payment
- CHAPTER 7. Methodology adopted to estimate the number of online P2M UPI transactions as a percentage of P2M UPI transactions.
- 7.1. Survey Objectives
- 7.2. Sample Design
- 7.3. Survey Methodology
- 7.4. P2M UPI Payment Statistics
- 7.4.1. Mumbai
- 7.4.2. Delhi (including NCR)
- 7.4.3. Kolkata
- 7.4.4. Bangalore
- 7.4.5. Chennai
- 7.4.6. Hyderabad
- 7.4.7. Pune
- 7.4.8. Ahmedabad
- 7.4.9. Jaipur
- 7.4.10. Surat
- 7.5. Outcome
- CHAPTER 8. Methodology adopted to estimate the number of P2M IMPS transactions as a percentage of IMPS transactions
- 8.1. Survey Objectives
- 8.2. Sample Design
- 8.3. Survey Methodology
- 8.4. P2M IMPS Transaction Vs P2P/M2M IMPS Transaction Statistics
- 8.4.1. Mumbai
- 8.4.2. Delhi (including NCR)
- 8.4.3. Kolkata
- 8.4.4. Bangalore
- 8.4.5. Chennai
- 8.4.6. Hyderabad
- 8.4.7. Pune
- 8.4.8. Ahmedabad
- 8.4.9. Jaipur
- 8.4.10. Surat
- 8.5. Outcome
- CHAPTER 9. Competitive Landscape
- 9.1. Competitior Benchmarking 2023
- 9.2. Market Share Analysis, 2023
- 9.3. Key Developments Analysis By Top 5 Companies
- 9.4. Market Share Acquisition Strategies: Analysis of Key Approaches Employed by Top Players
- CHAPTER 10. Company Profiles
- 10.1. IndiaIdeas.com Limited
- 10.1.1. Business Overview
- 10.1.2. Financial Analysis
- 10.1.3. Product Portfolio
- 10.1.4. SWOT Analysis
- 10.2. Pine Labs Private Limited
- 10.2.1. Business Overview
- 10.2.2. Financial Analysis
- 10.2.3. Product Portfolio
- 10.2.4. Recent Development and Strategies Adopted
- 10.2.5. SWOT Analysis
- 10.3. Paytm
- 10.3.1. Business Overview
- 10.3.2. Financial Analysis
- 10.3.3. Product Portfolio
- 10.3.4. Recent Development and Strategies Adopted
- 10.3.5. SWOT Analysis
- 10.4. PayPhi Commerce Private Limited
- 10.4.1. Business Overview
- 10.4.2. Product Portfolio
- 10.4.3. Recent Development and Strategies Adopted
- 10.5. In-Solutions Global Limited
- 10.5.1. Business Overview
- 10.5.2. Product Portfolio
- 10.6. PhonePe Private Limited
- 10.6.1. Business Overview
- 10.6.2. Product Portfolio
- 10.6.3. Recent Development and Strategies Adopted
- 10.6.4. SWOT Analysis
- 10.7. Worldline ePayments India Private Limited
- 10.7.1. Business Overview
- 10.7.2. Financial Analysis
- 10.7.3. Product Portfolio
- 10.7.4. Recent Development and Strategies Adopted
- 10.7.5. SWOT Analysis
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