The Middle East and Africa debt collection software market size was valued at USD 150 million in 2021 and is projected to reach USD 400 million by 2031, registering a CAGR of 11.5% during the forecast period (2022-2031).
The debt collection software is a set of procedures for the collection of debt, beginning with the initiation of the loan process and concluding with the resolution of the loan with paid debt. Software for debt collection is extensively deployed on third-party systems, and the financial account containing debt details is shared with the software. This form of organization is referred to as a debt collection agency. If a borrower cannot repay the debt, the account is transferred to a collection agency or sold to one. The software for debt collection includes agency management, reminder scheduling, automated notifications, client management, compliance management, commission management, and contact management.
Significant shifts toward digitalization in nearly every industry vertical have accelerated the demand for automation, particularly in banking institutions. An increase in the need to automate the accounts receivable process among banking institutions worldwide is expected to be a significant factor propelling the growth of the debt collection software market during the forecast period.
The collections processes are advancing due to a significant transition toward multichannel digital strategies. In addition, due to an increase in individuals' preference for digital engagement due to increased personalization, the collection software is in high demand despite minimal person-to-person contact.
In addition, the widespread use of smartphones presents a significant opportunity for more efficient collection procedures. As smartphones have narrowed the communication divide between borrowers and creditors, creditors have realized the importance of capturing customers' attention across all marketing and sales channels, which will increase the likelihood of debtor contact. Consequently, an omnichannel digital collection integrates vast capabilities into an existing mobile application or web portal.
Organizations aim to reduce the number of problematic debts written off due to the rising need to strengthen debt recovery strategies. A debt collection software reduces problematic debt by providing features such as locating difficult-to-find debtors and monitoring unpaid debt, which is expected to be a major factor driving the growth of the market in the coming years.
In addition, the need to save time on administrative tasks, such as prioritizing daily activities or preparing for calls, to concentrate on value-adding tasks, such as reducing bad debts, including communication with customers, resolving disputes, and requesting payments, by automating the routine tasks, such as preparing for calls, contributes to the expansion of the debt collection software market.
Enhancements to software for adding new features and the need to maintain the software up-to-date lead to increased maintenance costs. Incorrect implementation of debt collection software can take years, as it necessitates the entry of a vast amount of data. As issues associated with software deployment with an organization's IT infrastructure can be time-consuming and costly, it delays the intended return on investment from this software. This factor is anticipated to inhibit the growth of the market to some degree.
In addition, a lack of knowledge regarding new processes and tools, a lack of practice and training before implementation, and difficulties with internal and external communication are the most significant restraints on the market. Moreover, data migration issues are significant obstacles to the expansion of this market, as data management is costly and raises security concerns.
Predictive analytics has emerged as a key enabler that helps segment customers into identical groups based on their attributes and formulates individualized debt management and advisory policies for each customer segment. It combines various debt collection techniques, including data mining, machine learning, artificial intelligence, and statistical modeling. WNS, a utility company, implemented predictive analytics to increase its debt collection by 50 percent. This significant improvement occurred over three months with no reduction in consumer engagement. Moreover, big data analytics facilitates the acquisition of the most pertinent information regarding debtors. Information such as demographic data or behavioral aspects, such as the time a debtor will respond to contact, can significantly impact the success of debt collection calls. Moreover, big data analytics provides access to data that facilitates the personalization of debt collection. Thus, introducing analytics in debt collection will be advantageous for the market.
Study Period | 2019-2031 | CAGR | 11.5% |
Historical Period | 2019-2021 | Forecast Period | 2023-2031 |
Base Year | 2022 | Base Year Market Size | USD 150 Million |
Forecast Year | 2031 | Forecast Year Market Size | USD 400 Million |
Middle East and Africa is a significant revenue contributor and is expected to grow at a CAGR of 11.5% during the forecast period. The debt collection software market is influenced by rapid digitalization in nearly every industry vertical, an increase in the need to automate the accounts receivable process among banking institutions worldwide, an increase in the need to reduce delinquent receivables, and an increase in the need to optimize collection costs. However, complexities associated with integrating debt collection software with legacy systems and implementing diverse debt collection regulations across the globe, which lead to misinterpretation between various debt collection policies, limit the market's growth to some extent.
In contrast, emerging advanced technologies necessitates enhancements to the current debt collection software to maintain market competitiveness. In addition, the increased adoption of analytics technology, which provides decision-based insights, is driving the deployment of various software applications, including debt collection software.
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Middle East and Africa debt collection software market is segmented based on component, deployment, organization size, and end-user.
Based on component, the debt collection software market is bifurcated into software and services.
The services segment dominated the market and is expected to register a CAGR of 12.8% over the forecast period.
Based on deployment, the debt collection software market is divided into cloud-based and on-premise.
The cloud-based segment dominated the market and is expected to grow at a CAGR of 14.7% during the forecast period.
Based on organization size, the debt collection software market is categorized into small and medium enterprises and large enterprises.
The large enterprise segment dominated the market and is expected to grow at a CAGR of 12.9% during the forecast period.
Based on end-user, the debt collection software market is classified into banks, collection agencies, finance companies, Healthcare, and others.
Banks are expected to dominate the market, registering the highest CAGR of 11.4% over the forecast period.