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市场调查报告书
商品编码
1625256
到 2030 年多通路订单管理市场预测:按组件、类别类型、部署、功能、最终用户和区域进行的全球分析Multichannel Order Management Market Forecasts to 2030 - Global Analysis By Component (Software and Services), Category Type, Deployment, Functionality, End User and By Geography |
根据 Stratistics MRC 的数据,2024 年全球多通路订单管理(MOM)市场规模将达到 33.5 亿美元,预计到 2030 年将达到 64 亿美元,预测期内复合年增长率为 11.4%。
多通路订单管理 (MOM) 是指跨多个销售管道(包括电子商务平台、实体店、市场和社交媒体)高效处理、追踪和履行客户订单的过程。 MOM 系统集中订单资料,提供无缝库存管理、订单路由和交付协调,并即时了解存量基准和订单状态。透过将不同的管道整合到统一的系统中,MOM 可以改善客户体验、减少错误并提高业务效率,帮助企业满足不断增长的消费者期望并简化复杂的全通路零售环境中的工作流程。
不断发展的电子商务产业
不断发展的电子商务产业需要简化的库存管理、订单追踪和及时交付解决方案。多通路订单管理系统可实现多个销售管道的无缝集成,提高客户体验和业务效率。消费者对快速、无错误交付的需求不断增长,进一步推动了这些解决方案的采用。此外,跨境电子商务的兴起增加了对先进工具来管理复杂物流和合规要求的需求。这一趋势使多通路订单管理成为动态电子商务生态系统中扩展业务的关键推动因素。
实施成本高
建构强大的 MOM 系统需要对先进的软体、硬体和IT基础设施进行大量投资。中小型企业 (SME) 通常难以承担这些前期成本,从而限制了它们对此类解决方案的采用。此外,系统维护、升级和员工培训的持续成本进一步增加了财务负担。公司可能会对投资犹豫不决,因为他们担心由于实施週期长而导致投资回报延迟。这些高成本也导致传统订单管理方法优先于现代系统。
整合个人化和人工智慧
人工智慧驱动的个人化允许公司根据消费者行为和偏好调整产品推荐和行销策略,从而提高客户满意度和忠诚度。先进的演算法可实现跨多个管道的即时库存管理,减少缺货和库存积压问题。人工智慧还可以自动化订单路由和履约流程,确保更快、更准确的交付。预测分析使企业能够预测需求趋势并做出主动决策。这些功能使企业能够实现无缝、高效的多通路运营,并在动态市场中保持竞争力。
监管环境的变化
GDPR 和 CCPA 等资料隐私法的频繁更新要求企业不断调整其係统以确保合规性,从而增加营运成本。跨境电商法规使订单管理更加复杂。这是因为公司必须应付各种税务法规、进出口法规和消费者保护法。这些监管变化减缓了新技术和平台的采用,阻碍了可扩展性和创新。违规可能会面临代价高昂的处罚和声誉受损,使公司在探索多管道机会方面犹豫不决。
COVID-19 的影响
COVID-19 的疫情对多通路订单管理市场产生了重大影响,并随着企业转向线上管道而加速了其成长。由于封锁和社交距离措施,电子商务蓬勃发展,推动了对高效订单管理解决方案的需求。企业已采用先进技术来管理不断增长的订单量、提高库存可见度并简化多个销售管道的业务。然而,供应链中断一直是一个挑战,迫使企业优化物流并提高灵活性。此次疫情凸显了强大的多通路策略的重要性,使这些系统对于在快速变化的市场中提高弹性和客户满意度至关重要。
软体部分预计将在预测期内成为最大的部分
透过为跨多个销售管道的无缝订单处理提供强大的工具,软体部门预计将出现良好的成长。确保库存即时同步,降低超售和缺货风险。自动订单路由和分析等进阶功能可提高业务效率和决策。与电子商务平台、ERP 和 CRM 的整合功能改善了整体工作流程管理。随着公司优先考虑全通路策略,软体领域对于优化客户体验和推动市场扩张变得至关重要。
在预测期内,食品和饮料产业预计复合年增长率最高
由于消费者对无缝和及时交付的需求不断增加,食品和饮料行业预计在预测期内将出现最高的复合年增长率。随着电子商务和线上杂货平台的兴起,企业需要有效率的系统来处理跨多个管道的订单。这些系统有助于简化库存管理、缩短交货时间并提高客户满意度。该细分市场还受益于即时订单追踪和自动重新订购等先进功能,以确保业务效率。此外,维持产品新鲜度和遵守食品安全法规的需求正在推动强大的订单管理解决方案的采用。
由于电子商务领域的扩张、互联网普及率的提高以及消费者对无缝购物体验的需求不断增长,预计亚太地区将在预测期内占据最大的市场占有率。 MOM 解决方案使企业能够有效地管理多个管道的订单,从而增强客户服务并提高业务效率。零售商和製造商正在采用这些系统来简化库存管理、更快地处理订单并提高供应链视觉。人工智慧、机器学习和自动化领域的创新,以及中国、印度、日本和韩国等国家的公司对数位转型的投资不断增加,推动了市场的发展。
由于零售商和製造商越来越需要跨线上、行动和店内等各种管道提供无缝的客户体验,预计北美在预测期内将出现最高的复合年增长率。该市场包括供企业即时管理库存、订单和客户资料的软体解决方案。随着电子商务的兴起以及对快速高效履约的需求,企业正在采用云端基础的解决方案、人工智慧和机器学习等先进技术来优化业务。
According to Stratistics MRC, the Global Multichannel Order Management Market is accounted for $3.35 billion in 2024 and is expected to reach $6.40 billion by 2030 growing at a CAGR of 11.4% during the forecast period. Multichannel Order Management (MOM) refers to the process of efficiently handling, tracking, and fulfilling customer orders across multiple sales channels, such as e-commerce platforms, physical stores, marketplaces, and social media. MOM systems centralize order data, ensuring seamless inventory management, order routing, and delivery coordination while providing real-time visibility into stock levels and order statuses. By integrating various channels into a unified system, MOM enhances customer experiences, reduces errors, and improves operational efficiency, enabling businesses to meet growing consumer expectations and streamline workflows in a complex, omnichannel retail environment.
Growing E-commerce industry
The growing e-commerce industry requires streamlined solutions to manage inventory, track orders, and ensure timely delivery. Multichannel order management systems enable seamless integration of multiple sales channels, improving customer experience and operational efficiency. The increasing consumer demand for quick, error-free deliveries further fuels the adoption of such solutions. Additionally, the rise of cross-border e-commerce has heightened the need for advanced tools to manage complex logistics and compliance requirements. This trend positions multichannel order management as a critical enabler for scaling operations in the dynamic e-commerce ecosystem.
High implementation costs
Establishing a robust MOM system requires substantial investment in advanced software, hardware, and IT infrastructure. Small and medium-sized enterprises (SMEs) often struggle to afford these upfront costs, limiting their adoption of such solutions. Additionally, ongoing expenses for system maintenance, upgrades, and employee training further increase the financial burden. Companies may hesitate to invest, fearing delayed returns on investment due to long implementation periods. These high costs can also lead to prioritization of traditional order management methods over modern systems.
Personalization and AI integration
AI-driven personalization allows businesses to tailor product recommendations and marketing strategies based on consumer behaviour and preferences, increasing customer satisfaction and loyalty. Advanced algorithms enable real-time inventory management across multiple channels, reducing stock outs and overstock issues. AI also automates order routing and fulfilment processes, ensuring faster and more accurate deliveries. With predictive analytics, companies can forecast demand trends, enabling proactive decision-making. These capabilities collectively empower businesses to stay competitive in a dynamic market by delivering seamless and efficient multichannel operations.
Changing regulatory landscape
Frequent updates to data privacy laws, such as GDPR and CCPA, require businesses to constantly adapt their systems to ensure compliance, increasing operational costs. Cross-border e-commerce regulations further complicate order management, as businesses must navigate varying tax policies, import/export restrictions, and consumer protection laws. These regulatory changes can delay the implementation of new technologies or platforms, hindering scalability and innovation. Non-compliance risks hefty penalties and reputational damage, discouraging businesses from exploring multichannel opportunities.
Covid-19 Impact
The COVID-19 pandemic significantly impacted the multichannel order management market, accelerating its growth as businesses shifted to online channels. E-commerce boomed due to lockdowns and social distancing measures, driving demand for efficient order management solutions. Companies adopted advanced technologies to manage increased order volumes, enhance inventory visibility, and streamline operations across multiple sales channels. However, supply chain disruptions posed challenges, requiring businesses to optimize logistics and improve flexibility. The pandemic underscored the importance of robust multichannel strategies, making these systems critical for resilience and customer satisfaction in a rapidly changing market.
The software segment is expected to be the largest during the forecast period
The software segment is estimated to have a lucrative growth, by offering robust tools for seamless order processing across multiple sales channels. It ensures real-time inventory synchronization, reducing the risk of overselling or stock outs. Advanced features like automated order routing and analytics enhance operational efficiency and decision-making. Integration capabilities with e-commerce platforms, ERPs, and CRMs improve overall workflow management. As businesses prioritize omnichannel strategies, the software segment becomes pivotal in optimizing customer experience and driving market expansion.
The food and beverages segment is expected to have the highest CAGR during the forecast period
The food and beverages segment is anticipated to witness the highest CAGR growth during the forecast period, due to increased consumer demand for seamless and timely deliveries. With the rise of e-commerce and online grocery platforms, businesses require efficient systems to handle orders across multiple channels. These systems help streamline inventory management, reduce delivery times, and enhance customer satisfaction. The segment also benefits from advanced features like real-time order tracking and automated reordering, ensuring operational efficiency. Additionally, the need to maintain product freshness and comply with food safety regulations drives the adoption of robust order management solutions.
Asia Pacific is expected to hold the largest market share during the forecast period due to the region's expanding e-commerce sector, increasing internet penetration, and rising consumer demand for seamless shopping experiences. MOM solutions enable businesses to efficiently manage orders across multiple channels, providing enhanced customer service and operational efficiency. Retailers and manufacturers are adopting these systems to streamline inventory management, fulfill orders faster, and improve supply chain visibility. The market is driven by innovations in AI, machine learning, and automation, alongside growing investments in digital transformation by enterprises across countries like China, India, Japan, and South Korea.
North America is expected to have the highest CAGR over the forecast period, owing to the increasing need for retailers and manufacturers to offer seamless customer experiences across various channels, including online, mobile, and in-store. This market encompasses software solutions that help businesses manage inventory, orders, and customer data in real time. With the rise of e-commerce and the demand for fast, efficient fulfillment, companies are adopting advanced technologies such as cloud-based solutions, artificial intelligence, and machine learning to optimize their operations.
Key players in the market
Some of the key players profiled in the Multichannel Order Management Market include IBM Corporation, Salesforce.com, Inc., SAP SE, Oracle Corporation, HCL Technologies Limited, Zoho Corporation, Stitch Labs, Cloud Commerce Pro Ltd., ChannelGrabber, Etail Solutions, Brightpearl, Freestyle Solutions, Linnworks, TradeGecko, Skubana, Orderhive, Kibo Commerce, Manhattan Associates, NetSuite and Shopify Plus.
In June 2024, IBM and Telefonica Tech announced a collaboration agreement aimed at deploying AI, analytics, and data management solutions for enterprises in Spain. This partnership focuses on developing an open, hybrid, multi-cloud platform to enhance business initiatives and digital transformation through AI technologies like the watsonx platform.
In May 2024, IBM expanded its strategic partnership with Salesforce to integrate IBM's watsonx capabilities with Salesforce's Einstein 1 Platform. This collaboration focuses on enhancing AI and data deployment flexibility for better customer engagement.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.