Global Payment Analytics Software Market Size, Share & Industry Trends Analysis Report By Type (Web Based and Cloud Based), By Enterprise Size (Large Enterprises and Small & Medium Enterprises), By Regional Outlook and Forecast, 2022 – 2028

Global Payment Analytics Software Market Size, Share & Industry Trends Analysis Report By Type (Web Based and Cloud Based), By Enterprise Size (Large Enterprises and Small & Medium Enterprises), By Regional Outlook and Forecast, 2022 – 2028

The Global Payment Analytics Software Market size is expected to reach $3.9 billion by 2028, rising at a market growth of 4.5% CAGR during the forecast period.

Payment analytics software is essentially utilized in any business to gain access to historical data and also the present state of payment systems. By examining this data, a company can identify flaws, increase productivity, increase revenue, and reduce wasteful costs. Along with that, this program can be used in sales, online payment services, or any other type of payment processing. Additionally, payment analytics software is particularly useful for understanding consumer profiles and behaviors in order to deliver uninterrupted services and effectively address company risk issues.

For subscription-based enterprises or e-commerce, payment analytics software keeps track of online payments. It displays consumer payments by combining payment data from several sources. Payment analytics software is primarily utilized by office workers to increase their earnings and by sales, managers to monitor the success of their sales efforts. It allows companies and subscription goods to increase income more rapidly and reliably. Furthermore, payment software centralizes all data, tracks progress toward targets, visualizes performance patterns, collaborates, and helps organizations make better decisions.

The growth of the m-commerce business in emerging nations, as well as the rise in smartphone usage around the world, are the key reasons driving the payment analytics software market. Additionally, rising mobile payment acceptance in emerging regions contributes to the increasing usage of payment analytics software. Moreover, the high use of NFC, RFID, and host card emulation technology in mobile payments, and also the rising demand for fast and easy transaction services, are anticipated to make the payment analytics software market financially viable.

Companies can use analytics to get a mix of standard payment data and insight into what's going on inside their payment system. In addition, companies can gain deeper insights into transaction data by integrating data on how the system actually works with ad hoc reports.

COVID-19 Impact

In a relatively short amount of time, the COVID-19 pandemic has had a profound influence on economies and communities. Companies are rapidly seeking solutions to assist them to get over these difficult times, with academic facilities, workplaces, and manufacturing sites having to close indefinitely, important athletics and events getting delayed, and work-from-home and social distancing policies. Experts in analytics, business analytics, and more advanced analysis tools like AI and ML have been enlisted to aid CEOs in formulating business decisions about how to respond to the new business challenge provided by the COVID-19 outbreak. In the midst of the pandemic, all of these variables promote the popularity of payment analytics software.

Market Growth Factors

Identification of normal patterns by companies

Payment analytics software & monitoring tools can assist uncover patterns in a firm that are common with payment systems using historical data offered by payment analytics software & monitoring tools. Card payment systems, for example, may see a minor increase in transactions at the start of the work day. The volume would gradually increase until it reaches a peak around midday and then decreases toward the end of the workday. There may also be a brief spike at closing time, as everyone rushes to the ATM to withdraw cash.

Enhancement in customer experience

Transaction analytics could help businesses detect key trends and preferences among the client base, giving them invaluable customer insights. To achieve customer pleasure and retention, it's critical to get to know their customers. In the long run, companies try to make knowledgeable business decisions based on the customers' preferences and behaviors, which pay off in the future. It will also make the company more competitive, especially as more companies adopt strong customer-centric strategies. Customers wield all power, so understanding their wants, behaviors, and preferences would allow businesses to better customize their services to them and increase the chances of success.

Market Restraining Factors

The rise in privacy concerns among users

Customers' information, like online transactions, purchases, online transactions, and memberships, is sometimes made accessible to businesses whose services they use, which may compromise their privacy. Some businesses may decide to share their datasets with others for mutual gain. Certain information gathered can be utilized against an individual, a country, or a society. Organizations must be cautious about the type of data they acquire from clients and guarantee that the data is secure and secret. Only the data needed for the study should be gathered, and any sensitive data should be anonymized to protect sensitive information. Customers may lose trust in firms as a result of data breaches, which could have a detrimental influence on their business.

Type Outlook

Based on Type the market is segmented into Web Based and Cloud Based. The web-based segment recorded the highest revenue share in the payment analytics software market in 2021. It is because such type of software helps companies to carry out their procedures from mobile and desktop. These solutions provide some innovative analytical features such as country and currency filtration, which is a customer-friendly dashboard for SaaS along with ecommerce platforms and more.

Enterprise Size Outlook

Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. The small and medium enterprise segments procured a substantial revenue share in the payment analytics software market in 2021. It is owing to the cost-efficiency offered by the payment analytics software to the companies. Since SMEs have budget constraints, they widely opt for solutions within their budget that can reduce their overall cost and downtime.

Regional Outlook

Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. North America emerged as the leading region in the payment analytics software market with the highest revenue share in 2021. It is owing to the fact that American companies place a high value on digitalization and are widely regarded as early adopters of next-generation technologies like the Internet of Things, big data analytics, additive manufacturing, AI, linked industries, and the latest communications technology like 4G, 5G, and LTE.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Adobe, Inc. (X.commerce), BlueSnap Corporate, Databox, Inc, Payfirma, Yapstone, HiPay, ProfitWell (Paddle), and CashNotify (Baguette Engineering).

Scope of the Study

Market Segments covered in the Report:

By Type

  • Web Based
  • Cloud Based
By Enterprise Size
  • Large Enterprises
  • Small & Medium Enterprises
By Geography
  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
Companies Profiled
  • Adobe, Inc. (X.commerce)
  • BlueSnap Corporate
  • Databox, Inc.
  • Payfirma
  • Yapstone
  • HiPay
  • ProfitWell (Paddle)
  • CashNotify (Baguette Engineering)
Unique Offerings from KBV Research
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  • Highest number of market tables and figures
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  • Assured post sales research support with 10% customization free


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Payment Analytics Software Market, by Type
1.4.2 Global Payment Analytics Software Market, by Enterprise Size
1.4.3 Global Payment Analytics Software Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Global Payment Analytics Software Market by Type
3.1 Global Web Based Market by Region
3.2 Global Cloud Based Market by Region
Chapter 4. Global Payment Analytics Software Market by Enterprise Size
4.1 Global Large Enterprises Market by Region
4.2 Global Small & Medium Enterprises Market by Region
Chapter 5. Global Payment Analytics Software Market by Region
5.1 North America Payment Analytics Software Market
5.1.1 North America Payment Analytics Software Market by Type
5.1.1.1 North America Web Based Market by Country
5.1.1.2 North America Cloud Based Market by Country
5.1.2 North America Payment Analytics Software Market by Enterprise Size
5.1.2.1 North America Large Enterprises Market by Country
5.1.2.2 North America Small & Medium Enterprises Market by Country
5.1.3 North America Payment Analytics Software Market by Country
5.1.3.1 US Payment Analytics Software Market
5.1.3.1.1 US Payment Analytics Software Market by Type
5.1.3.1.2 US Payment Analytics Software Market by Enterprise Size
5.1.3.2 Canada Payment Analytics Software Market
5.1.3.2.1 Canada Payment Analytics Software Market by Type
5.1.3.2.2 Canada Payment Analytics Software Market by Enterprise Size
5.1.3.3 Mexico Payment Analytics Software Market
5.1.3.3.1 Mexico Payment Analytics Software Market by Type
5.1.3.3.2 Mexico Payment Analytics Software Market by Enterprise Size
5.1.3.4 Rest of North America Payment Analytics Software Market
5.1.3.4.1 Rest of North America Payment Analytics Software Market by Type
5.1.3.4.2 Rest of North America Payment Analytics Software Market by Enterprise Size
5.2 Europe Payment Analytics Software Market
5.2.1 Europe Payment Analytics Software Market by Type
5.2.1.1 Europe Web Based Market by Country
5.2.1.2 Europe Cloud Based Market by Country
5.2.2 Europe Payment Analytics Software Market by Enterprise Size
5.2.2.1 Europe Large Enterprises Market by Country
5.2.2.2 Europe Small & Medium Enterprises Market by Country
5.2.3 Europe Payment Analytics Software Market by Country
5.2.3.1 Germany Payment Analytics Software Market
5.2.3.1.1 Germany Payment Analytics Software Market by Type
5.2.3.1.2 Germany Payment Analytics Software Market by Enterprise Size
5.2.3.2 UK Payment Analytics Software Market
5.2.3.2.1 UK Payment Analytics Software Market by Type
5.2.3.2.2 UK Payment Analytics Software Market by Enterprise Size
5.2.3.3 France Payment Analytics Software Market
5.2.3.3.1 France Payment Analytics Software Market by Type
5.2.3.3.2 France Payment Analytics Software Market by Enterprise Size
5.2.3.4 Russia Payment Analytics Software Market
5.2.3.4.1 Russia Payment Analytics Software Market by Type
5.2.3.4.2 Russia Payment Analytics Software Market by Enterprise Size
5.2.3.5 Spain Payment Analytics Software Market
5.2.3.5.1 Spain Payment Analytics Software Market by Type
5.2.3.5.2 Spain Payment Analytics Software Market by Enterprise Size
5.2.3.6 Italy Payment Analytics Software Market
5.2.3.6.1 Italy Payment Analytics Software Market by Type
5.2.3.6.2 Italy Payment Analytics Software Market by Enterprise Size
5.2.3.7 Rest of Europe Payment Analytics Software Market
5.2.3.7.1 Rest of Europe Payment Analytics Software Market by Type
5.2.3.7.2 Rest of Europe Payment Analytics Software Market by Enterprise Size
5.3 Asia Pacific Payment Analytics Software Market
5.3.1 Asia Pacific Payment Analytics Software Market by Type
5.3.1.1 Asia Pacific Web Based Market by Country
5.3.1.2 Asia Pacific Cloud Based Market by Country
5.3.2 Asia Pacific Payment Analytics Software Market by Enterprise Size
5.3.2.1 Asia Pacific Large Enterprises Market by Country
5.3.2.2 Asia Pacific Small & Medium Enterprises Market by Country
5.3.3 Asia Pacific Payment Analytics Software Market by Country
5.3.3.1 China Payment Analytics Software Market
5.3.3.1.1 China Payment Analytics Software Market by Type
5.3.3.1.2 China Payment Analytics Software Market by Enterprise Size
5.3.3.2 Japan Payment Analytics Software Market
5.3.3.2.1 Japan Payment Analytics Software Market by Type
5.3.3.2.2 Japan Payment Analytics Software Market by Enterprise Size
5.3.3.3 India Payment Analytics Software Market
5.3.3.3.1 India Payment Analytics Software Market by Type
5.3.3.3.2 India Payment Analytics Software Market by Enterprise Size
5.3.3.4 South Korea Payment Analytics Software Market
5.3.3.4.1 South Korea Payment Analytics Software Market by Type
5.3.3.4.2 South Korea Payment Analytics Software Market by Enterprise Size
5.3.3.5 Singapore Payment Analytics Software Market
5.3.3.5.1 Singapore Payment Analytics Software Market by Type
5.3.3.5.2 Singapore Payment Analytics Software Market by Enterprise Size
5.3.3.6 Malaysia Payment Analytics Software Market
5.3.3.6.1 Malaysia Payment Analytics Software Market by Type
5.3.3.6.2 Malaysia Payment Analytics Software Market by Enterprise Size
5.3.3.7 Rest of Asia Pacific Payment Analytics Software Market
5.3.3.7.1 Rest of Asia Pacific Payment Analytics Software Market by Type
5.3.3.7.2 Rest of Asia Pacific Payment Analytics Software Market by Enterprise Size
5.4 LAMEA Payment Analytics Software Market
5.4.1 LAMEA Payment Analytics Software Market by Type
5.4.1.1 LAMEA Web Based Market by Country
5.4.1.2 LAMEA Cloud Based Market by Country
5.4.2 LAMEA Payment Analytics Software Market by Enterprise Size
5.4.2.1 LAMEA Large Enterprises Market by Country
5.4.2.2 LAMEA Small & Medium Enterprises Market by Country
5.4.3 LAMEA Payment Analytics Software Market by Country
5.4.3.1 Brazil Payment Analytics Software Market
5.4.3.1.1 Brazil Payment Analytics Software Market by Type
5.4.3.1.2 Brazil Payment Analytics Software Market by Enterprise Size
5.4.3.2 Argentina Payment Analytics Software Market
5.4.3.2.1 Argentina Payment Analytics Software Market by Type
5.4.3.2.2 Argentina Payment Analytics Software Market by Enterprise Size
5.4.3.3 UAE Payment Analytics Software Market
5.4.3.3.1 UAE Payment Analytics Software Market by Type
5.4.3.3.2 UAE Payment Analytics Software Market by Enterprise Size
5.4.3.4 Saudi Arabia Payment Analytics Software Market
5.4.3.4.1 Saudi Arabia Payment Analytics Software Market by Type
5.4.3.4.2 Saudi Arabia Payment Analytics Software Market by Enterprise Size
5.4.3.5 South Africa Payment Analytics Software Market
5.4.3.5.1 South Africa Payment Analytics Software Market by Type
5.4.3.5.2 South Africa Payment Analytics Software Market by Enterprise Size
5.4.3.6 Nigeria Payment Analytics Software Market
5.4.3.6.1 Nigeria Payment Analytics Software Market by Type
5.4.3.6.2 Nigeria Payment Analytics Software Market by Enterprise Size
5.4.3.7 Rest of LAMEA Payment Analytics Software Market
5.4.3.7.1 Rest of LAMEA Payment Analytics Software Market by Type
5.4.3.7.2 Rest of LAMEA Payment Analytics Software Market by Enterprise Size
Chapter 6. Company Profiles
6.1 Adobe, Inc. (X.commerce)
6.1.1 Company Overview
6.1.2 Financial Analysis
6.1.3 Segmental and Regional Analysis
6.1.4 Research & Development Expense
6.2 BlueSnap Corporate
6.2.1 Company Overview
6.2.2 Recent Strategies and Developments:
6.2.2.1 Partnerships, Collaborations and Agreements:
6.2.2.2 Acquisitions and Mergers:
6.2.2.3 Product Launches and Product Expansions:
6.3 Databox, Inc.
6.3.1 Company Overview
6.4 Payfirma
6.4.1 Company Overview
6.5 Yapstone
6.5.1 Company Overview
6.6 HiPay
6.6.1 Company Overview
6.7 ProfitWell (Paddle)
6.7.1 Company Overview
6.8 CashNotify (Baguette Engineering)
6.8.1 Company Overview

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