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市場調查報告書
商品編碼
1625256
到 2030 年多通路訂單管理市場預測:按組件、類別類型、部署、功能、最終用戶和區域進行的全球分析Multichannel Order Management Market Forecasts to 2030 - Global Analysis By Component (Software and Services), Category Type, Deployment, Functionality, End User and By Geography |
根據 Stratistics MRC 的數據,2024 年全球多通路訂單管理(MOM)市場規模將達到 33.5 億美元,預計到 2030 年將達到 64 億美元,預測期內複合年成長率為 11.4%。
多通路訂單管理 (MOM) 是指跨多個銷售管道(包括電子商務平台、實體店、市場和社交媒體)高效處理、追蹤和履行客戶訂單的過程。 MOM 系統集中訂單資料,提供無縫庫存管理、訂單路由和交付協調,並即時了解存量基準和訂單狀態。透過將不同的管道整合到統一的系統中,MOM 可以改善客戶體驗、減少錯誤並提高業務效率,幫助企業滿足不斷成長的消費者期望並簡化複雜的全通路零售環境中的工作流程。
不斷發展的電子商務產業
不斷發展的電子商務產業需要簡化的庫存管理、訂單追蹤和及時交付解決方案。多通路訂單管理系統可實現多個銷售管道的無縫整合,提高客戶體驗和業務效率。消費者對快速、無錯誤交付的需求不斷成長,進一步推動了這些解決方案的採用。此外,跨境電子商務的興起增加了對先進工具來管理複雜物流和合規要求的需求。這一趨勢使多通路訂單管理成為動態電子商務生態系統中擴展業務的關鍵推動因素。
實施成本高
建構強大的 MOM 系統需要對先進的軟體、硬體和IT基礎設施進行大量投資。中小型企業 (SME) 通常難以承擔這些前期成本,從而限制了它們對此類解決方案的採用。此外,系統維護、升級和員工培訓的持續成本進一步增加了財務負擔。公司可能會對投資猶豫不決,因為他們擔心由於實施週期長而導致投資回報延遲。這些高成本也導致傳統訂單管理方法優先於現代系統。
整合個人化和人工智慧
人工智慧驅動的個人化允許公司根據消費者行為和偏好調整產品推薦和行銷策略,從而提高客戶滿意度和忠誠度。先進的演算法可實現跨多個管道的即時庫存管理,減少缺貨和庫存積壓問題。人工智慧還可以自動化訂單路由和履約流程,確保更快、更準確的交付。預測分析使企業能夠預測需求趨勢並做出主動決策。這些功能使企業能夠實現無縫、高效的多通路營運,並在動態市場中保持競爭力。
監管環境的變化
GDPR 和 CCPA 等資料隱私法的頻繁更新要求企業不斷調整其系統以確保合規性,從而增加營運成本。跨境電商法規使訂單管理更加複雜。這是因為公司必須應付各種稅務法規、進出口法規和消費者保護法。這些監管變化減緩了新技術和平台的採用,阻礙了可擴展性和創新。違規可能會面臨代價高昂的處罰和聲譽受損,使公司在探索多管道機會方面猶豫不決。
COVID-19 的影響
COVID-19 的疫情對多通路訂單管理市場產生了重大影響,並隨著企業轉向線上管道而加速了其成長。由於封鎖和社交距離措施,電子商務蓬勃發展,推動了對高效訂單管理解決方案的需求。企業已採用先進技術來管理不斷成長的訂單量、提高庫存可見度並簡化多個銷售管道的業務。然而,供應鏈中斷一直是一個挑戰,迫使企業最佳化物流並提高靈活性。此次疫情凸顯了強大的多通路策略的重要性,使這些系統對於在快速變化的市場中提高彈性和客戶滿意度至關重要。
軟體部分預計將在預測期內成為最大的部分
透過為跨多個銷售管道的無縫訂單處理提供強大的工具,軟體部門預計將出現良好的成長。確保庫存即時同步,降低超售和缺貨風險。自動訂單路由和分析等進階功能可提高業務效率和決策。與電子商務平台、ERP 和 CRM 的整合功能改善了整體工作流程管理。隨著公司優先考慮全通路策略,軟體領域對於最佳化客戶體驗和推動市場擴張變得至關重要。
在預測期內,食品和飲料產業預計複合年成長率最高
由於消費者對無縫和及時交付的需求不斷增加,食品和飲料行業預計在預測期內將出現最高的複合年成長率。隨著電子商務和線上雜貨平台的興起,企業需要有效率的系統來處理跨多個管道的訂單。這些系統有助於簡化庫存管理、縮短交貨時間並提高客戶滿意度。該細分市場還受益於即時訂單追蹤和自動重新訂購等先進功能,以確保業務效率。此外,維持產品新鮮度和遵守食品安全法規的需求正在推動強大的訂單管理解決方案的採用。
由於電子商務領域的擴張、網際網路普及率的提高以及消費者對無縫購物體驗的需求不斷成長,預計亞太地區將在預測期內佔據最大的市場佔有率。 MOM 解決方案使企業能夠有效地管理多個管道的訂單,從而增強客戶服務並提高業務效率。零售商和製造商正在採用這些系統來簡化庫存管理、更快地處理訂單並提高供應鏈視覺。人工智慧、機器學習和自動化領域的創新,以及中國、印度、日本和韓國等國家的公司對數位轉型的投資不斷增加,推動了市場的發展。
由於零售商和製造商越來越需要跨線上、行動和店內等各種管道提供無縫的客戶體驗,預計北美在預測期內將出現最高的複合年成長率。該市場包括供企業即時管理庫存、訂單和客戶資料的軟體解決方案。隨著電子商務的興起以及對快速高效履約的需求,企業正在採用雲端基礎的解決方案、人工智慧和機器學習等先進技術來最佳化業務。
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.