Retail Distributed Order Management Systems Statistics 2025

In the rapidly evolving retail industry, Distributed Order Management Systems (DOMS) have emerged as critical tools for optimizing supply chain operations and enhancing customer satisfaction. As we approach 2025, understanding the dynamics and statistics surrounding these systems is pivotal for comprehending the broader business landscape. Retailers are increasingly relying on DOMS to ensure seamless execution of orders across various channels, which directly impacts their operational efficiency and profitability. Crucially, these statistics offer insight into emerging trends, challenges, and opportunities within the retail sector.

Key stakeholders, including retail executives, supply chain managers, and technology providers, will find this data invaluable for strategic planning and operational optimization. For retailers, DOMS statistics can reveal patterns in consumer behavior, bottlenecks in the supply chain, and areas for technological investment. Additionally, suppliers and logistics partners can leverage these insights to better align with retail trends, ensuring they remain competitive in a fast-paced market.

By delving into these statistics, decision-makers across the retail industry can make informed choices that drive growth and innovation. As the landscape continues to shift, data-driven strategies will be essential for staying ahead. This article aims to provide a comprehensive overview of the latest statistics in retail DOMS, equipping stakeholders with the knowledge needed to navigate and thrive in the year ahead.

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Top Retail Distributed Order Management Systems Statistics 2025

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Introduction To Distributed Order Management Systems

• Distributed Order Management (DOM) processes sales orders in Microsoft Dynamics 365 Commerce. ^[?]
• DOM creates simultaneous batches for order processing based on the `Maximum number of order lines per optimization` parameter. ^[1]
• For the Simplified Solver type, DOM creates a batch for every 100 sales lines if the `Maximum number of order lines per optimization` value is 0. ^[1]

Market Size And Growth

• The Multichannel Order Management Market size is estimated at USD 3.27 billion in 2025 and is expected to reach USD 5.01 billion by 2029, growing at a CAGR of 8.92% during the forecast period (2024-2029). ^[2]
• In 2023, the Multichannel Order Management Market size was estimated at USD 3.00 billion. ^[2]
• The market is forecasted to grow from 2024 to 2029, covering historical data from 2019 to 2023. ^[2]
• The Work Order Management Market size is expected to reach USD 0.83 billion in 2025 and grow at a CAGR of 7.99% to reach USD 1.22 billion by 2029. ^[4]
• The retail distributed order management systems software market is expected to reach USD 556.5 million by 2029. ^[20]
• The global market for order management systems is predicted to increase from USD 1 billion in 2022 to USD 1.9 billion by 2026, with a CAGR of 12.3%. ^[23]
• The multichannel order management market was valued at USD 2.50 billion in 2021 and is expected to grow at a CAGR of 9.4% during the forecast period. ^[17]
• By 2026, the global market for OMS software will nearly double to reach USD 1.9 billion. ^[23]
• The multichannel order management market reached USD 2.7 billion in 2022 and is projected to be worth USD 4.2 billion by 2027, growing at a CAGR of 9.4%. ^[25]

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Regional Insights

• Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029). ^[2]
• In 2025, North America accounts for the largest market share in the Multichannel Order Management Market. ^[2]
• North America is projected for the largest market share in 2021 for multichannel order management due to technological advancements. ^[17]
• The Asia Pacific distributed order management market is expected to reach USD 1.6 billion by 2026, with a CAGR of 14.4%. ^[21]
• North America will continue to project the highest compound annual growth rate during the forecast period of 2022-2029 in the work order management systems market. ^[15]
• In 2025, the market value of cloud or ghost kitchens is expected to rise from USD 43.1 billion in 2019 to USD 71.4 billion by 2027, with a 12% annual growth rate. ^[19]
• The multichannel order management market size in terms of revenue was reasonably estimated at USD 2.7 billion in 2022 and is poised to expand at a faster CAGR of 9.4% to reach over USD 4.2 billion by the end of 2027. ^[22]

Impact Of Covid-19

• The COVID-19 pandemic has mixed impacts on the Multichannel Order Management Market. ^[2]
• The pandemic significantly influenced the multichannel order management market, increasing the utilization of digital channels. ^[17]
• The COVID-19 pandemic has been unprecedented and staggering, with the retail distributed order management systems software market experiencing lower-than-anticipated demand across all regions compared to pre-pandemic levels. ^[20]
• Online food delivery and ordering apps were among the most popular app downloads during the pandemic, leading to significant growth in the industry. ^[24]
• In 2020, revenue generated through food delivery was USD 26 billion, and 111 million users were reported. ^[7]

Technological Advances

• In April 2023, Oracle introduced new capabilities across Oracle Fusion Cloud Applications Suite to help customers accelerate supply chain planning, increase operational efficiency, and improve financial accuracy. ^[2]
• Ecom Express launched its Warehouse Management Solutions (WMS) and Order Management Solutions (OMS), branded as Ecom Magnum, for sellers in February 2023. ^[2]
• In April 2023, Freestyle Software announced the availability of version 12 of Multichannel Order Manager (M.O.M.). ^[2]
• ChannelGrabber announced a brand update for its multichannel order management software in April 2023. ^[2]
• In February 2024, Gooten launched OrderMeshTM, an order management platform designed for on-demand production. ^[4]

Market Dynamics

• Key drivers include the growing retail and e-commerce market and growth in multichannel selling. ^[2]
• Market challenges include security and privacy concerns and highly intricate inventory management. ^[2]
• Industry 4.0 is transforming industries, promoting digital factories and the development of an ecosystem of connected plants and enterprises. ^[4]
• The Federal Government and private sector organizations in the United States are investing in Industry 4.0 IoT technologies to expand the American industrial base. ^[4]

Consumer Behavior And Preferences

• Recent insights from a consumer survey conducted by PricewaterhouseCoopers (PwC) reveal persistent challenges faced by shoppers, with 24% reporting frustration due to out-of-stock products or longer than promised delivery times. ^[5]
• A separate survey showed that 88% of consumers are willing to pay more at checkout for same-day delivery services. ^[5]
• The Baymard Institute reported that the average e-commerce cart abandonment rate was 69.99% for 2022. ^[5]
• Digital ordering and delivery have grown 300% faster than dine-in traffic since 2014. ^[6]
• 70% of consumers say they would rather order directly from a restaurant, preferring that their money goes straight to the restaurant and not a third party. ^[6]

Competitive Landscape

• Key companies include IBM Corporation, HCL Technologies Limited, Oracle Corporation, Salesforce.com, Inc., SAP SE, Zoho Corporation, Brightpearl, Linnworks, Cloud Commerce Pro Ltd., Freestyle Solutions, Inc., and Sanderson. ^[2]
• In July 2022, Oracle collaborated with Big Ray’s to handle its inventory and order management, financial operations, e-commerce operations, and point-of-sale operations on a single platform by Oracle NetSuite. ^[17]
• In February 2021, SAP collaborated with Virgin Megastore and Sundiro Honda to deliver an exceptional shopping experience with SAP Commerce Cloud solution. ^[17]

Key Performance Indicators (kpis) And Metrics

• Order Fill Rate Percentage = (Total number of orders delivered in the first attempt without placing a backorder / Total orders placed) X 100. ^[8]
• Number of Orders Shipped on Time / Total Number of Orders Shipped * 100 = On-time Shipping Rate. ^[9]
• Number of Accurately Picked Orders / Total Orders Picked * 100 = Order Picking Accuracy. ^[9]
• Orders Delivered Without Issues in a Given Period / Total Number of Orders Over the Same Period * 100 = Perfect Order Rate. ^[9]
• Backorder Rate = Total backorders / Total orders * 100. ^[8]

Trends And Future Outlook

• In 2025, IoT sensors will revolutionize real-time inventory tracking. ^[14]
• Cloud-based inventory systems will be a cornerstone of modern, agile, and data-driven inventory management strategies in 2024. ^[14]
• By 2024, businesses will harmonize their inventory across sales channels to create seamless shopping experiences. ^[14]
• Advanced simulation models will quietly shape inventory strategies in 2024, ensuring efficiency, cost savings, and customer satisfaction. ^[14]
• The use of continuous cycle counting will optimize inventory accuracy and promote seamless operations in 2024. ^[14]

Operational Efficiency And Cost Savings

• Companies that optimize supply chains have 15% lower delivery costs than companies that don’t. ^[18]
• Automated Material Handling Systems can streamline processes and eliminate re-work, leading to significant cost savings. ^[3]
• A new report from Patronix Systems Inc. found that digital orders have risen to one-third of total restaurant and convenience store food orders, up from just 12% pre-pandemic. ^[12]
• Technically equipped businesses reported that using advanced tools increased their profits by 23%, and 39% of the companies using modern technology outperformed their competition. ^[8]

Customer Experience And Satisfaction

• 96% of all customers say customer experience is an important part of their loyalty to a brand. ^[11]
• 13% of shoppers never return for another purchase if the delivery doesn’t arrive on time. ^[11]
• More than half (51%) of businesses are investing in automation of delivery processes this year alone. ^[11]
• 79% of customers are not willing to purchase from an e-commerce store that charges return policy fees. ^[10]
• 69% of consumers say they will stop buying from a brand if their orders don’t arrive on time. ^[11]

Technological Integration And Automation

• In 2025, online stores are increasingly using e-commerce order management systems equipped with Artificial Intelligence (AI) and Machine Learning (ML) to predict customers’ shopping habits accurately. ^[26]
• Order management system trends indicate that automation will be increasingly used to handle order returns in 2023. ^[26]
• A comprehensive OMS provides service representatives with a 360-degree view of customer interactions and orders across all channels, enabling them to provide informed, efficient support. ^[13]

Emerging Trends

• In 2025, demand sensing will emerge as a critical tool for fostering agility and customer-centricity in inventory management. ^[14]
• In the evolving landscape of 2025, cognitive computing will subtly but profoundly reshape inventory management strategies. ^[14]
• Multi-echelon inventory optimization will harmonize supply chains and ensure seamless inventory flows to meet customer demands in 2025. ^[14]
• The adoption of Augmented Reality (AR) will discreetly reshape warehouse management in 2024. ^[14]

Future Projections

• By 2029, the online food delivery market is predicted to be worth USD 365 billion. ^[7]
• The global market for order management systems is expected to grow to USD 3.17 billion by 2030, with a CAGR of 5.48% during the forecast period (2024-2030). ^[16]
• The multichannel order management market size is projected to grow from USD 2.07 billion in 2020 to USD 4 billion by 2030. ^[27]
• The multichannel order management market is projected to register a CAGR of 10.12% during the forecast period (2024-2032). ^[27]

Conclusion

• Distributed Order Management Systems (DOM) are essential for optimizing sales order processes, enhancing customer satisfaction, and leveraging technological advancements to meet evolving market demands.
• The market is poised for significant growth, driven by technological innovations, increased consumer demand for seamless shopping experiences, and the adoption of cloud-based and AI/ML-integrated systems.
• Companies investing in advanced DOM systems will benefit from improved operational efficiency, cost savings, and enhanced customer loyalty, positioning them for success in the competitive retail landscape.

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