Debt Collection Software

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Debt Collection Software Industry Benchmarks

Savings Achieved

(in %)

The average annual savings achieved in Debt Collection Software category is 6.20%

Payment Terms

(in days)

The industry average payment terms in Debt Collection Software category for the current quarter is 63.8 days

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Supply Assurance

Sourcing Process

Supplier Type

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Contract Length


Lead Time

Supplier Diversity

Targeted Savings

Risk Mitigation

Financial Risk



Geopolitical Risk

Cost Optimization

Price per Unit Competitiveness

Specification Leanness

Minimum Order Quality

Payment Terms

Inventory Control

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    Debt Collection Software Suppliers

    Total Suppliers
    Diverse Suppliers
    Normalized Supplier Rating
    Debt Collection Software Supplier

    Find the right-fit debt collection software supplier for your specific business needs and filter by location, industry, category, revenue, certifications, and more on Beroe LiVE.Ai™.

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    Sample Supplier
    American Express Company
    Jackson, Mississipi
    Duns number

    D&B SER Rating

    dnb logo

    Up to 3 months

    1 9
    Low Risk High Risk

    The Supplier Evaluation Risk (SER) Rating is Dun & Bradstreet’s proprietary scoring system used to assess the probability that a business will seek relief from creditors or cease operations within the next 12 months. SER ratings range from 1 to 9, with 9 indicating the highest risk of failure. We’ve prepared an infographic to help business owners better understand what influences their SER Rating.

    Moody`s ESG Solution
    ESG Profile

    Company and Sector Performance

    Limited (1)
    ESG Perfomance (/100)
    6 Domains Performance (/100)
    Business behaviour
    Human rights
    Community Environment
    Corporate governance
    Human resources
    Security Scorecard

    Threat indicators
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    Hacker Chatter
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    DNS Health
    Detecting DNS insecure configuration and vulnerabilities
    Application Security
    Detecting common website application vulnerbilities
    Endpoint Security
    Detecting unprotected enpoints or entry points of user tools, such as desktops, laptops mobile devices, and virtual desktops
    Cubic Score
    Proprietary algorithms checking for implementation of common security best practices
    Patching Cadence
    Out of date company assets which may contain vulnerabilities of risk
    Social Engineering
    Measuring company awareness to a social engineering or phising attack
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    Detecting suspecious activity, such as malware or spam, within your company network
    Information Leak
    Potentially confidential company information which may have been inadvertently leaked

    Industry Comparison
    Industry average
    Adverse Media Appearances
    Environmental Issues
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    Environmental Non Compliance Flags
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    Regulatory Non Compliance Flags
    Fraud Issues
    Labor Health Safety Flags
    Regulatory Issues
    Workforce Disputes
    esg energy transition
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    esg controversies critical severity

    Debt Collection Software market report transcript

    Debt Collection Software Global Market Outlook:

    • The size global debt collection software market is estimated at approx. $3.8 billion for 2022 and is projected to grow up to $6.5 million by 2027 at a CAGR of 10.3 percent during 2022–2027

    • Increasing demand to changing lifestyles and increased purchasing power, consumers have become more empowered and for informed purchase decisions made, they are creating a debt cycle

    • The APAC is projected to be the fastest-growing market with the highest rate of 7.1 percent during the forecast period, followed by Europe at 6.9 percent

    Debt Collection Software Market – Market Maturity

    • It has been observed that North America has the highest market share of 34 percent in 2022, due to the presence of developed economies. The powerful financial position of the region allows investing heavily in advanced testing and technologies

    • The APAC is projected to be the fastest-growing market with the highest rate of 7.1 percent during the forecast period, followed by Europe at 6.9 percent

    Global Debt Collection Software Market: Regional Outlook 

    Market Trends

    Debt collection is impacted by consumer behavior, macroeconomic factors, regulatory changes, and protections on a day-to-day basis. Financial institutions seeking to improve collections need to design a sustainable and profitable debt collections strategy. Process improvements, such as workflow automation, customer management, consistent collections treatment, and collector experience play an integral role in debt management.

    • Automating collections: Many financial institutions struggle with changing debt landscapes and are trying to cope with such situations through outdated technology. With fewer resources, growing debt volume, and consumer protections, the legacy system is inefficient and detrimental. Debtors are now living in an omnichannel and self-service environment; financial institutions that upgrade to new technology witness a host of benefits leading to profitable lending business. Broadly debt management solution enables the banks to minimize bad debt, rehabilitate customers, reduce attrition, and maintain revenue streams. Government agencies are using debt management solution for collecting tax debt, though the revenue size is small, the complexities and inherent data integration challenges that government agencies face is similar to a bank’s infrastructure

    • Shift to customer-centric collections: Financial institutions have the habit of servicing customers’ accounts and not their customers. A customer-centric approach enables banks to design processes and systems (i.e., collection automation) with a key focus on improving customer experience and loyalty

    • Analytics for better account treatment: •Analytics helps banks in building robust collections-scoring models and precise debt collection strategies. Collections solution providers offer analytics modules as part of their end-to-end solution or as a bolt-on solution. Depending upon the quantity and quality of data, collections specific-scoring, models, and decisions can be built. While behavioral scores can predict a longer-term trend, advanced analytics (based on sophisticated algorithms) help managers predict the short-term trends: likelihood that an account will become more delinquent, the likelihood of self-cure, probability of payment in the coming month, and the amount

    • Advanced analytics quantifies, assesses, and helps in deploying the optimum decisions. Combined with the consolidated/360-degree view of the customer, collectors can devise consistent and efficient collection treatment. Instead of managers/collectors deciding by manually communicating with customers, predictive analytics provides the ability to run “what-if” scenarios and “stress test” results

    • Banks can assess the reaction of customers to new collections treatments, approaches, and messages, compare them with old treatment strategies and quantify the new revenue gains

    • Based on multiple discussions with industry stakeholders, analytics can drive ‘offer management’, collector independent treatment strategies, and collections lifecycle related decisioning

    Why You Should Buy This Report

    This report on the global debt collection software market covers future industry trends, size, regional market share, historical and current data and deep analysis, and projections. It offers an orderly and coordinated methodology for the key aspects that have impacted the market in the past and the future market opportunities on which market players can rely upon before allocating their capital resources. 

    The research study furnishes a reasonable debt collection software analysis for better decision-making to invest in it. Furthermore, it scrutinizes the aspects and provides a comprehensive outlook of the key organizations that will probably add to the demand in the global debt collection software market over the years ahead.

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