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Pages: 230 |
May 2022 |
Payment analytics software is in high demand due to the large amount of data generated by various technologies such as e, machine learning, and big data. Because these technologies generate a large amount of unstructured and irrelevant data, it is critical to build a machine learning technique with only accurate and relevant data. As a result, key players have used a variety of technologies to improve their overall payment performance, generating more accurate predictions and improving payment service performance. As banks and financial institutions adopt new business models, developing economies offer significant market opportunities for payment analytics software. Furthermore, as demand for specialized, secure, and customized payment processing grows, market adoption of payment data analytics solutions is increasing. Furthermore, high investments in digitalized online payments, adoption of new technology such as artificial intelligence, big data, analytics, and machine learning, as well as rapid domestic business expansion, are expected to drive market growth, particularly in Singapore, China, Hong Kong, and South Korea.
However, a lack of network infrastructure, data privacy concerns, a lack of understanding, and other operational challenges & risks may stifle market growth. Several connected devices capture personal data and track users' real-time location, putting them at risk of being used fraudulently and unlawfully by hackers and other elements, stifling progress in the coming years.
According to the regional outlook, the Asia-Pacific payment analytics software market is expected to create massive growth opportunities for market investors by growing at a CAGR of 5.2% during the review period.
Payment analytics software tracks online payments for subscription-based businesses or e-commerce. It combines payment data analytics from various sources to display consumer payments. Office workers primarily use payment analytics software to boost their earnings and by sales managers to track the effectiveness of their sales techniques. It assists businesses and subscription services in achieving more consistent revenue growth. Payment software also consolidates all data in one location, monitors progress toward goals, visualizes performance patterns, and collaborates with other departments to make better decisions; such aspects are expected to drive product demand.
Furthermore, payment analytics tools enable a company to take historical data and apply it to things that are happening in the present. This applies to sales and payment processing, as well as any online payment services. Analytics are just as important in the payment industry as they are in any other business. To improve your payment services and performance, you must first understand your customers' profiles and behaviors, as well as gain insight into the risk profiles of your providers.
COVID-19 was declared a pandemic by the World Health Organization in March 2020, resulting in travel restrictions and disruptions in financial markets, as well as a negative impact on supply chains and production levels. The coronavirus pandemic has triggered a chain of unprecedented events that have affected every industry. Despite the fact that the novel coronavirus pandemic has had a devastating effect on several industries, the payment analytics software market has seen significant growth during this time due to an increase in online sales and payment. Payment analytics software includes terminal sales, subscriptions, currency payments, markets, and financial guides to assist clients in making better financial decisions. Overall, the pandemic is expected to benefit the global payment analytics software market.
Furthermore, COVID-19 outbreak has had a significant impact on operations in a few key sectors, including manufacturing, logistic support, hotel management, public transit, healthcare, and sales, as well as a moderate impact on IT & communications company, power and utilities, government, schooling, and banking. The pandemic has accelerated the adoption of card payment and mobile wallet payments. Due to the lockdown and aversion to cash exchange, eWallets are gaining traction for blockchain (Internet - based) transfers, payment services, and consumer to industry (C2B) payment transactions for essential services. All such aspects are expected to help boost payment analytics software demand.
Smartphones are becoming more popular all over the world, particularly in emerging markets, which is propelling the market forward. Furthermore, the widespread availability of 3G and 4G connectivity has made it possible for clients to access services via their cellphones. Furthermore, the widespread expansion of smartphone companies' distribution networks has made these devices widely available to end users. Businesses and customers can now accept and make payments using their cellphones, thanks to the increased use of smartphones and improved connectivity, propelling the payment analytics market forward. Moreover, countries all over the world use information and communications technology (ICT) technologies to enhance digital economies. Government agencies are conducting various initiatives to create a digital payment process. One of the primary growth implications for just a national growth is digital payment. It also has the ability to increase productivity in the economy, improve the transparency, increase revenues, broaden access to financial services, as well as provide end people with new market prosperity. The Indian government launched a number of initiatives to promote payment systems. Digitalization in India, the release of a Unified Payments Interface (UPI), all act as catalysts in the shift to digital payments. Such efforts help promote digitization and raise awareness about the benefits of leveraging new technologies. Other countries, such as Singapore and Australia, have initiated a range of digital payment initiatives. Therefore, all such aspects and developments are projected to gain traction for payment analytics software.
To know more about global payment analytics software market trends, get in touch with our analysts here.
Privacy risks arise when data is combined with additional personal information. When companies begin collecting data profile information, the danger of identity theft rises, especially if the data is not kept secure. Lawbreakers can use location data to determine a person's current and expected future position, so if the data includes data which can be used to identify the person, they could use that information to target that person. As a result, before using data obtained thru the money transfer analytics software, institutions should thoroughly assess all legal and privacy issues. Moreover, online payment vendors are still unable to obtain a competitive advantage due to a lack of global payment systems that would provide ease of use, a lack of international standards, and various government regulations in different countries. Payment regulations as well as digital storage requirements differ from country to country. These laws and regulations make pass payments ineffective. Furthermore, the domestic deposit facilities are not designed for cross-border transactions. All such factors may hamper the growth of the global market.
The payment analytics software market as a whole is working to create and develop new technologies. The integration of advanced technologies such as big data analytics, machine learning, and artificial intelligence is expected to benefit the global payment analytics software market. Furthermore, the rise of cloud-based analytics is expanding the opportunities in the payment analytics software market. The payment analytics software market is expected to grow as a result of favorable government efforts. As a result of digitization and ongoing technological advancements, accounts payable analytics technology will become more personalized, simple, and versatile.
Moreover, chatbots in the digital banking sector can be used to automate a variety of tasks in order to improve daily operations and the omni-channel customer experience. Chatbots can be used to pay the bills, track transfers of money, and establish or withdraw payments. Chatbots could also be used to charge prepaid debit cards and pay off credit card bills. Customers can request that chatbots check their account balance in a matter of seconds. Digital assistants can also approximate account balances and warn users as they are about to fall below some threshold. Customers can effectively manage their accounts without having to log into their e-banking account or call their bank directly. Chatbots can be programmed to send useful alerts and regular notifications, such as bill payment due dates or even the distribution of specific financial transaction documents (e.g., loan applications). They can also send important notifications, such as banking updates and changes to your credit score. These push notifications and alerts may make users aware of information they were previously unaware of, leading to increased digital banking service usage and increased customer satisfaction. Thus, such factors create an opportunity to gain major pull in the coming years for payment analytics software market.
To know more about global payment analytics software market opportunities, get in touch with our analysts here.
Based on food type, the payment analytics software market has been segmented into cloud based analytics and web based analytics of which cloud based analytics sub-segment is expected to have the fastest growth during the forecast period.
Source: Research Dive Analysis
In 2030, the global cloud based payment analytics software sub-segment will be worth more than $2,307.4 million. Cloud integration technology is used in core banking services to integrate various data and applications through IT and business model transformations such as Digital Wallets, Apple Wallet, Paypal Account, and many others. By revamping and transforming the banking system, a new way to improved financial and returns is created. Moreover, the BFSI industry is critical to a financial well-being and advancement of countries overall. Cloud integration benefits the BFSI sector by addressing issues such as secure storage, interoperability, and confidentiality, as well as providing numerous benefits such as cost savings. The BFSI sector can avoid the large investments associated with establishing IT facilities by utilizing cloud integration. All such factors are expected to promote the adoption of cloud based payment analytics software growth during the forecast period.
Based on enterprise size, the payment analytics software market has been sub-segmented into large enterprise and small & medium enterprise (SME) of which large enterprise sub-segment is expected to have the dominant share during the forecast period.
Source: Research Dive Analysis
In 2030, the global large enterprise sub-segment will be worth more than $2,734.7 million. Large entrepreneurship is defined as entities with a working population of much more than thousand population. Large enterprises are trying to adopt digital payment solutions to automate their billing landscape, cater to varying consumer patterns, simplify company's operations, and increase competitiveness in the market. Larger companies use the omnichannel strategy to better customer experience. Integration of digital payment systems, such as e-wallets and payment systems, which is responsible for a high current payment landscape is critical for the redemption of loyalty points and the enablement of fast payment at PoS terminals. All such factors are expected to promote the adoption of payment analytics software by large enterprises growth during the forecast period.
The payment analytics software market was inspected across North America, Europe, Asia-Pacific, and LAMEA.
Source: Research Dive Analysis
Europe payment analytics software market is anticipated to generate maximum revenue during the forecast time period and reach $1,388.3 million by 2030, with a CAGR of 4.9%. The rise in smartphone penetration around the European countries, as well as the growth of the m-commerce industry in emerging markets, are the major factors driving payment analytics software market growth. Furthermore, the increase in adoption of mobile payment in emerging markets fuels market growth. Besides that, increased use of NFC, RFID, and presenter card emulation technology in mobile payments, as well as the rising demands for quick and easy transaction services, is expected to provide such a lucrative opportunity for the Europe payment analytics software market.
In 2020, the ownership segment of UK tech companies held more than 60% of the digital wallet share of the market. Growing investments in digital wallet innovation by technology companies to provide a secure and user-friendly way for customers to conduct financial transactions are expected to drive payment analytics software growth. Consumers are shifting to mobile devices to conduct various financial transactions as the penetration of internet-enabled mobile devices and internet traffic grows. The influx of various technology players from adjacent industries is also helping to boost market revenue. E-wallets have been developed by technology companies such as Google, Alibaba, Tencent, and Facebook. All such factors are expected to drive the Europe payment analytics software market and witness noticeable growth.
Source: Research Dive Analysis
Some of the leading payment analytics software market players are ProfitWell, BlueSnap, Databox, Payfirma, Yapstone, CashNotify, HiPay Intelligence, PaySketch, Revealytics, and RJMetrics.
| Aspect | Particulars |
| Historical Market Estimations | 2020-2021 |
| Base Year for Market Estimation | 2021 |
| Forecast Timeline for Market Projection | 2022-2030 |
| Geographical Scope | North America, Europe, Asia-Pacific, LAMEA |
| Segmentation by Type |
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| Segmentation by Enterprise Size |
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| Key Companies Profiled |
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1.Research Methodology
1.1.Desk Research
1.2.Real time insights and validation
1.3.Forecast model
1.4.Assumptions and forecast parameters
1.5.Market size estimation
1.5.1.Top-down approach
1.5.2.Bottom-up approach
2.Report Scope
2.1.Market definition
2.2.Key objectives of the study
2.3.Report overview
2.4.Market segmentation
2.5.Overview of the impact of COVID-19 on Global Payment Analytics Software market
3.Executive Summary
4.Market Overview
4.1.Introduction
4.2.Growth impact forces
4.2.1.Drivers
4.2.2.Restraints
4.2.3.Opportunities
4.3.Market value chain analysis
4.3.1.List of raw material suppliers
4.3.2.List of manufacturers
4.3.3.List of distributors
4.4.Innovation & sustainability matrices
4.4.1.Technology matrix
4.4.2.Regulatory matrix
4.5.Porter’s five forces analysis
4.5.1.Bargaining power of suppliers
4.5.2.Bargaining power of consumers
4.5.3.Threat of substitutes
4.5.4.Threat of new entrants
4.5.5.Competitive rivalry intensity
4.6.PESTLE analysis
4.6.1.Political
4.6.2.Economical
4.6.3.Social
4.6.4.Technological
4.6.5.Environmental
4.7.Impact of COVID-19 on Payment Analytics Software market
4.7.1.Pre-covid market scenario
4.7.2.Post-covid market scenario
5.Payment Analytics Software Market, by Enterprise Size
5.1.Overview
5.1.1.Market size and forecast, by Enterprise Size
5.2.Web based
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region, 2022-2030
5.2.3.Market share analysis, by country 2022 & 2030
5.3.Cloud based
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region, 2022-2030
5.3.3.Market share analysis, by country 2022 & 2030
5.4.Research Dive Exclusive Insights
5.4.1.Market attractiveness
5.4.2.Competition heatmap
6.Payment Analytics Software Market, by Enterprise Size
6.1.Overview
6.1.1.Market size and forecast, by Sales Channel
6.2.Large enterprises
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region, 2022-2030
6.2.3.Market share analysis, by country 2022 & 2030
6.3.Small & medium enterprises
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region, 2022-2030
6.3.3.Market share analysis, by country 2022 & 2030
6.4.Research Dive Exclusive Insights
6.4.1.Market attractiveness
6.4.2.Competition heatmap
7.Payment Analytics Software Market, by Region
7.1.North America
7.1.1.U.S.
7.1.1.1.Market size analysis, by Type
7.1.1.2.Market size analysis, by Enterprise Size
7.1.2.Canada
7.1.2.1.Market size analysis, by Type
7.1.2.2.Market size analysis, by Enterprise Size
7.1.3.Mexico
7.1.3.1.Market size analysis, by Type
7.1.3.2.Market size analysis, by Enterprise Size
7.1.4.Research Dive Exclusive Insights
7.1.4.1.Market attractiveness
7.1.4.2.Competition heatmap
7.2.Europe
7.2.1.Germany
7.2.1.1.Market size analysis, by Type
7.2.1.2.Market size analysis, by Enterprise Size
7.2.2.UK
7.2.2.1.Market size analysis, by Type
7.2.2.2.Market size analysis, by Enterprise Size
7.2.3.France
7.2.3.1.Market size analysis, by Type
7.2.3.2.Market size analysis, by Enterprise Size
7.2.4.Spain
7.2.4.1.Market size analysis, by Type
7.2.4.2.Market size analysis, by Enterprise Size
7.2.5.Italy
7.2.5.1.Market size analysis, by Type
7.2.5.2.Market size analysis, by Enterprise Size
7.2.6.Rest of Europe
7.2.6.1.Market size analysis, by Type
7.2.6.2.Market size analysis, by Enterprise Size
7.2.7.Research Dive Exclusive Insights
7.2.7.1.Market attractiveness
7.2.7.2.Competition heatmap
7.3.Asia Pacific
7.3.1.China
7.3.1.1.Market size analysis, by Type
7.3.1.2.Market size analysis, by Enterprise Size
7.3.2.Japan
7.3.2.1.Market size analysis, by Type
7.3.2.2.Market size analysis, by Enterprise Size
7.3.3.India
7.3.3.1.Market size analysis, by Type
7.3.3.2.Market size analysis, by Enterprise Size
7.3.4.Australia
7.3.4.1.Market size analysis, by Type
7.3.4.2.Market size analysis, by Enterprise Size
7.3.5.South Korea
7.3.5.1.Market size analysis, by Type
7.3.5.2.Market size analysis, by Enterprise Size
7.3.6.Rest of Asia Pacific
7.3.6.1.Market size analysis, by Type
7.3.6.2.Market size analysis, by Enterprise Size
7.3.7.Research Dive Exclusive Insights
7.3.7.1.Market attractiveness
7.3.7.2.Competition heatmap
7.4.LAMEA
7.4.1.Brazil
7.4.1.1.Market size analysis, by Type
7.4.1.2.Market size analysis, by Enterprise Size
7.4.2.Saudi Arabia
7.4.2.1.Market size analysis, by Type
7.4.2.2.Market size analysis, by Enterprise Size
7.4.3.UAE
7.4.3.1.Market size analysis, by Type
7.4.3.2.Market size analysis, by Enterprise Size
7.4.4.South Africa
7.4.4.1.Market size analysis, by Type
7.4.4.2.Market size analysis, by Enterprise Size
7.4.5.Rest of LAMEA
7.4.5.1.Market size analysis, by Type
7.4.5.2.Market size analysis, by Enterprise Size
7.4.6.Research Dive Exclusive Insights
7.4.6.1.Market attractiveness
7.4.6.2.Competition heatmap
8.Competitive Landscape
8.1.Top winning strategies, 2021
8.1.1.By strategy
8.1.2.By year
8.2.Strategic overview
8.3.Market share analysis, 2021
9.Company Profiles
9.1.ProfitWell
9.1.1.Overview
9.1.2.Business segments
9.1.3.Type portfolio
9.1.4.Financial performance
9.1.5.Recent developments
9.1.6.SWOT analysis
9.2.BlueSnap
9.2.1.Overview
9.2.2.Business segments
9.2.3.Type portfolio
9.2.4.Financial performance
9.2.5.Recent developments
9.2.6.SWOT analysis
9.3.Databox
9.3.1.Overview
9.3.2.Business segments
9.3.3.Type portfolio
9.3.4.Financial performance
9.3.5.Recent developments
9.3.6.SWOT analysis
9.4.Payfirma
9.4.1.Overview
9.4.2.Business segments
9.4.3.Type portfolio
9.4.4.Financial performance
9.4.5.Recent developments
9.4.6.SWOT analysis
9.5.Yapstone
9.5.1.Overview
9.5.2.Business segments
9.5.3.Type portfolio
9.5.4.Financial performance
9.5.5.Recent developments
9.5.6.SWOT analysis
9.6.CashNotify
9.6.1.Overview
9.6.2.Business segments
9.6.3.Type portfolio
9.6.4.Financial performance
9.6.5.Recent developments
9.6.6.SWOT analysis
9.7.HiPay Intelligence
9.7.1.Overview
9.7.2.Business segments
9.7.3.Type portfolio
9.7.4.Financial performance
9.7.5.Recent developments
9.7.6.SWOT analysis
9.8.PaySketch
9.8.1.Overview
9.8.2.Business segments
9.8.3.Type portfolio
9.8.4.Financial performance
9.8.5.Recent developments
9.8.6.SWOT analysis
9.9.Revealytics
9.9.1.Overview
9.9.2.Business segments
9.9.3.Type portfolio
9.9.4.Financial performance
9.9.5.Recent developments
9.9.6.SWOT analysis
9.10.RJMetrics
9.10.1.Overview
9.10.2.Business segments
9.10.3.Type portfolio
9.10.4.Financial performance
9.10.5.Recent developments
9.10.6.SWOT analysis
10.Appendix
10.1.Parent & peer market analysis
10.2.Premium insights from industry experts
10.3.Related reports
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