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TwitterDelphi accounts receivable module contains the following data elements, but are not limited to customer information, cash receipts, line of accounting details, bill presentment architecture, collection information, payments interface, sales tax information, and geographical hierarchical structures.
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China Industrial Enterprise: Account Receivable data was reported at 25,586.900 RMB bn in Mar 2025. This records an increase from the previous number of 25,073.710 RMB bn for Feb 2025. China Industrial Enterprise: Account Receivable data is updated monthly, averaging 8,441.529 RMB bn from Dec 1998 (Median) to Mar 2025, with 290 observations. The data reached an all-time high of 26,919.890 RMB bn in Nov 2024 and a record low of 1,214.512 RMB bn in Mar 1999. China Industrial Enterprise: Account Receivable data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OE: Industrial Enterprise.
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The accounts receivable automation market size is forecast to increase by USD 1.1 billion, at a CAGR of 9.3% between 2024 and 2029.
The global accounts receivable automation market is expanding as organizations increasingly adopt cloud-based solutions to enhance financial operations. This shift enables greater scalability, adaptability, and cost-effectiveness, moving businesses away from manual accounting methods. The integration of specialized accounting software market platforms and business process automation allows finance teams to streamline monetary transactions and achieve real-time corporate visibility through intuitive dashboards and reports. By automating core functions, companies can significantly reduce processing times, lower operational costs, and improve the overall efficiency of their cash conversion cycle, making it a strategic priority for maintaining financial health. This adoption is a key component of the broader digital transformation in finance.The emergence of AI and machine learning introduces sophisticated capabilities, such as the prediction of customer creditworthiness and payment dates, marking a significant evolution in the intelligent process automation of financial workflows. These technologies enable the swift processing of large invoice volumes and the automated reconciliation of accounts, enhancing accuracy and speed. However, data privacy and security concerns remain a critical issue. The need to share sensitive financial data with third-party cloud providers introduces risks of data leaks and cyber threats. Organizations must therefore implement vigilant cybersecurity measures during the implementation of AR automation software to protect confidential customer and company data, ensuring trust and compliance.
What will be the Size of the Accounts Receivable Automation Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe evolution of the accounts receivable automation market is characterized by a continuous shift from standalone tools to integrated platforms that manage the complete order-to-cash cycle. This progression involves a deeper level of business process automation, where automated invoice processing is merely the starting point. The focus is increasingly on achieving seamless financial workflow optimization through real-time data synchronization with enterprise systems. This dynamic environment is driven by the need for enhanced financial visibility and control, pushing organizations to adopt more holistic digital process automation market solutions that unify credit, billing, and collections functions.Technological advancements are constantly reshaping solution capabilities, with intelligent process automation becoming a standard expectation. The application of principles from AI and automation in banking is leading to more sophisticated features, such as predictive payment analytics and automated dispute resolution. This ongoing integration of AI-powered cash application and machine learning models for customer creditworthiness prediction is transforming accounts receivable from a reactive, administrative function into a proactive, strategic operation that directly impacts working capital and corporate financial health.
How is this Accounts Receivable Automation Industry segmented?
The accounts receivable automation industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ComponentSolutionServicesDeploymentCloudOn-premisesOrganization sizeLarge organizationsSMEsGeographyNorth AmericaUSCanadaMexicoEuropeUKGermanyFranceItalySpainThe NetherlandsAPACChinaJapanIndiaSouth KoreaAustraliaIndonesiaMiddle East and AfricaUAESouth AfricaTurkeySouth AmericaBrazilArgentinaChileRest of World (ROW)
By Component Insights
The solution segment is estimated to witness significant growth during the forecast period.The solution segment is foundational to the accounts receivable automation market, as these systems digitize the entire AR process, rendering paper-based methods inefficient. Core solutions are designed to process large quantities of customer invoices, which significantly reduces the manual effort and time accountants spend on collections and reconciliation. Key functionalities like dispute management, credit evaluation, and collection management are central to these offerings, providing organizations with the tools to streamline financial workflows and improve operational control.Advanced solutions are increasingly leveraging automation to handle complex tasks, with a focus on areas like cash application. By imp
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Accounts Receivable - Number of Raised Within 3 Days
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Accounts Receivable: Enterprises: OKVED2: ytd: Other Service Activities data was reported at 72.480 RUB bn in Apr 2023. This records a decrease from the previous number of 76.279 RUB bn for Mar 2023. Accounts Receivable: Enterprises: OKVED2: ytd: Other Service Activities data is updated monthly, averaging 65.534 RUB bn from Jan 2017 (Median) to Apr 2023, with 75 observations. The data reached an all-time high of 133.676 RUB bn in Nov 2022 and a record low of 37.277 RUB bn in Jan 2017. Accounts Receivable: Enterprises: OKVED2: ytd: Other Service Activities data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OD021: Enterprises Accounts Receivable: by Economic Activity.
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Accounts Receivable: Enterprises: OKVED2: ytd: MQ: Metal Ores data was reported at 811.031 RUB bn in Apr 2023. This records an increase from the previous number of 755.806 RUB bn for Mar 2023. Accounts Receivable: Enterprises: OKVED2: ytd: MQ: Metal Ores data is updated monthly, averaging 412.076 RUB bn from Jan 2017 (Median) to Apr 2023, with 76 observations. The data reached an all-time high of 1,115.394 RUB bn in Jul 2021 and a record low of 208.626 RUB bn in Jan 2017. Accounts Receivable: Enterprises: OKVED2: ytd: MQ: Metal Ores data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OD021: Enterprises Accounts Receivable: by Economic Activity.
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Japan Assets: Flow: HH: Accounts Receivable/Payable data was reported at -4,618.100 JPY bn in Mar 2018. This records a decrease from the previous number of -1,161.500 JPY bn for Dec 2017. Japan Assets: Flow: HH: Accounts Receivable/Payable data is updated quarterly, averaging 92.100 JPY bn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 5,595.400 JPY bn in Dec 2015 and a record low of -8,297.000 JPY bn in Mar 2016. Japan Assets: Flow: HH: Accounts Receivable/Payable data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.AB087: SNA08: Households: Flow.
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TwitterThe biggest challenge of Factoring is to predict if and when invoices will be paid. The factor provides funds against this future payment to the business by buying their invoice. The factor then collects the payment and charges their interest rate. If the invoice isn't paid, the factor loses their advanced funds. Try using this data set for predicting when payments will be made.
This data was provided by IBM for testing out their analytics tools.
https://www.ibm.com/communities/analytics/watson-analytics-blog/guide-to-sample-datasets
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Accounts Receivable - Number of Debts 151-180 Days Old
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Indonesia Financing Receivables Based On Financing Objects: Account Receivable data was reported at 11,832.971 IDR bn in Jan 2025. This records a decrease from the previous number of 12,862.662 IDR bn for Dec 2024. Indonesia Financing Receivables Based On Financing Objects: Account Receivable data is updated monthly, averaging 4,761.346 IDR bn from Feb 2018 (Median) to Jan 2025, with 84 observations. The data reached an all-time high of 12,862.662 IDR bn in Dec 2024 and a record low of 3,030.000 IDR bn in Feb 2018. Indonesia Financing Receivables Based On Financing Objects: Account Receivable data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Indonesia Premium Database’s Banking Sector – Table ID.KBB013: Multifinance Company: Finance Company: Financing Receivables by Financing Object.
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TwitterAccounts Receivable Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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Number of manual invoices raised (by agency) – projection for 2015/16 financial year.
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Number of manual remittances processed (by agency) – projection for 2015/16 financial year.
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Accounts Receivable - Number of Current Debts 0-30 Days Old
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Accounts Receivable: Enterprises: OKVED2: ytd: Mfg: Wood & Cork Products, excl Furniture; Articles of Straw & Plaiting Materials data was reported at 174.661 RUB bn in Apr 2023. This records an increase from the previous number of 166.309 RUB bn for Mar 2023. Accounts Receivable: Enterprises: OKVED2: ytd: Mfg: Wood & Cork Products, excl Furniture; Articles of Straw & Plaiting Materials data is updated monthly, averaging 107.388 RUB bn from Jan 2017 (Median) to Apr 2023, with 76 observations. The data reached an all-time high of 192.676 RUB bn in Mar 2022 and a record low of 81.064 RUB bn in Jan 2017. Accounts Receivable: Enterprises: OKVED2: ytd: Mfg: Wood & Cork Products, excl Furniture; Articles of Straw & Plaiting Materials data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OD021: Enterprises Accounts Receivable: by Economic Activity.
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Accounts Receivable - Number of Manual Remittances
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Committed Billing Days with Accounts Receivable: Central West data was reported at 91.880 Day in 2022. This records an increase from the previous number of 85.370 Day for 2021. Committed Billing Days with Accounts Receivable: Central West data is updated yearly, averaging 83.550 Day from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 91.930 Day in 2020 and a record low of 74.030 Day in 2013. Committed Billing Days with Accounts Receivable: Central West data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB024: Economic, Financial and Administrative Indicators: Committed Billing Days with Accounts Receivable.
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Japan Assets: Flow: NF: Accounts Receivable/Payable data was reported at 1,733.600 JPY bn in Jun 2018. This records an increase from the previous number of -1,622.400 JPY bn for Mar 2018. Japan Assets: Flow: NF: Accounts Receivable/Payable data is updated quarterly, averaging 80.600 JPY bn from Mar 1998 (Median) to Jun 2018, with 82 observations. The data reached an all-time high of 2,429.600 JPY bn in Dec 2001 and a record low of -5,829.900 JPY bn in Mar 2002. Japan Assets: Flow: NF: Accounts Receivable/Payable data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.AB071: SNA08: Non Financial Corporations: Flow.
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Committed Billing Days with Accounts Receivable: Central West: Goiás data was reported at 72.450 Day in 2022. This records an increase from the previous number of 53.920 Day for 2021. Committed Billing Days with Accounts Receivable: Central West: Goiás data is updated yearly, averaging 62.370 Day from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 77.560 Day in 2020 and a record low of 53.920 Day in 2021. Committed Billing Days with Accounts Receivable: Central West: Goiás data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB024: Economic, Financial and Administrative Indicators: Committed Billing Days with Accounts Receivable.
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CN: Industrial Enterprise: Account Receivable: Tibet data was reported at 11,140.000 RMB mn in Oct 2025. This records an increase from the previous number of 10,840.000 RMB mn for Sep 2025. CN: Industrial Enterprise: Account Receivable: Tibet data is updated monthly, averaging 1,800.000 RMB mn from Jan 2001 (Median) to Oct 2025, with 274 observations. The data reached an all-time high of 11,400.000 RMB mn in Jul 2025 and a record low of 0.000 RMB mn in Nov 2019. CN: Industrial Enterprise: Account Receivable: Tibet data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Account Receivable: By Province.
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TwitterDelphi accounts receivable module contains the following data elements, but are not limited to customer information, cash receipts, line of accounting details, bill presentment architecture, collection information, payments interface, sales tax information, and geographical hierarchical structures.