市場調查報告書
商品編碼
1390707
2023-2028 年按組件、部署模式、企業規模、垂直產業和地區分類的供應鏈分析市場報告Supply Chain Analytics Market Report by Component, Deployment Mode, Enterprise Size, Industry Vertical, and Region 2023-2028 |
2022年全球供應鏈分析市場規模達69億美元。展望未來, IMARC Group預計到2028年市場規模將達到182.9億美元,2022-2028年複合年成長率(CAGR)為17.64%。企業數位轉型的不斷發展、對供應鏈端到端可見度和透明度的需求不斷成長,以及個人從電子商務平台購買產品和服務的線上購物活動不斷增加,是推動市場發展的主要因素。
供應鏈分析是指收集、檢查和解釋供應鏈內各個來源的資料的過程,以獲得可行的見解、最佳化營運並做出明智的決策。它結合了統計技術、資料探勘、預測建模和商業智慧,將原始資料轉化為有價值的訊息,幫助組織簡化供應鏈流程並實現策略目標。它透過確保產品可用性和按時交付來提高客戶滿意度和忠誠度。它還使公司能夠透過更快地響應市場變化和客戶需求來獲得競爭優勢。
目前,對供應鏈分析以最佳化庫存水準、生產計劃和採購的需求不斷成長,正在推動市場的成長。除此之外,人們日益關注有效分析庫存水準、週轉率和交貨時間,以降低運輸成本,同時確保產品可用性,這有助於市場的成長。此外,供應鏈分析在識別和減輕潛在供應鏈中斷(包括自然災害或地緣政治事件)方面的日益整合,正在提供有利的市場前景。除此之外,越來越多的組織採用先進的分析解決方案來提高營運效率、降低成本並提高整體供應鏈視覺性,這正在支持市場的成長。此外,巨量資料和物聯網(IoT)的不斷普及正在加強市場成長。
企業數位轉型不斷推動
目前,企業日益成長的數位轉型正在對供應鏈分析市場的擴張產生積極影響。除此之外,組織不斷投資先進的資料分析技術和工具,以利用巨量資料的力量。這項投資使企業能夠即時捕獲、儲存和分析大量供應鏈資料。因此,公司能夠更好地做出正確的決策並持續最佳化其供應鏈營運。此外,將人工智慧 (AI) 和機器學習 (ML) 演算法涵蓋供應鏈分析解決方案正在增強其功能。這些技術支援預測性和規範性分析,使企業能夠預測需求波動、最佳化庫存水準並識別供應鏈中的潛在瓶頸或中斷。
對供應鏈端到端可見性和透明度的需求不斷成長
對供應鏈端到端可見度和透明度的需求不斷成長,正在推動供應鏈分析市場的成長。除此之外,各行業的組織都認知到即時洞察其供應鏈運作的至關重要性。他們擴大投資於先進的分析解決方案,以持續了解供應鏈的各個方面,包括原料採購和最終產品交付。此外,公司正在積極實施供應鏈分析平台,該平台能夠監控、追蹤和分析來自無數來源(包括供應商、物流提供者和內部營運)的資料。這種即時監控使他們能夠快速回應中斷、識別瓶頸、最佳化庫存水準並提高整體營運效率。此外,消費者對產品可追溯性、永續性和道德採購的意識不斷增強,迫使企業提供對其供應鏈的全面可見性。
個人網上購物活動增加
個人線上購物活動的增加正在推動對供應鏈分析的需求。除此之外,隨著消費者擴大轉向線上平台進行購買,企業在有效管理供應鏈方面面臨許多挑戰。這些挑戰包括波動的需求模式、複雜的物流以及即時了解庫存和訂單履行情況的需求。為了滿足這些不斷變化的需求,公司正在轉向供應鏈分析解決方案,作為獲得可行見解和最佳化營運的手段。此外,在全球中斷和意外事件等因素的推動下,供應鏈彈性和敏捷性的維持有所提升。線上購物的持續成長強化了供應鏈分析在降低風險方面的重要性,使組織能夠主動識別漏洞、制定應急計畫並確保業務連續性。
IMARC Group提供了全球供應鏈分析市場報告各細分市場主要趨勢的分析,以及 2023-2028 年全球、區域和國家層面的預測。我們的報告根據組件、部署模式、企業規模和垂直行業對市場進行了分類。
軟體
需求分析與預測
供應商績效分析
支出和採購分析
庫存分析
運輸和物流分析
服務
專業的
支援與維護
軟體(需求分析和預測、供應商績效分析、支出和採購分析、庫存分析以及運輸和物流分析)主導市場
該報告根據組成部分提供了詳細的市場細分和分析。這包括軟體(需求分析和預測、供應商績效分析、支出和採購分析、庫存分析以及運輸和物流分析)和服務(專業以及支援和維護)。根據該報告,軟體佔據了最大的部分。
供應鏈分析軟體是一種旨在幫助組織分析和最佳化其供應鏈營運的軟體。它整合了多個來源的資料,包括企業資源規劃 (ERP) 系統和外部資料來源,例如市場趨勢和天氣預報。它通常包括需求預測模組,使用歷史資料和先進的預測演算法來預測產品或材料的未來需求。它還可以透過識別過剩或短缺並建議再訂購點和數量來幫助組織最佳化庫存水準。它還可以最佳化運輸路線和模式、降低運輸成本並縮短交貨時間。
本地
基於雲端
本地部署佔市場最大佔有率
報告還根據部署模式對市場進行了詳細的細分和分析。這包括本地和基於雲端的。報告顯示,本地部署佔據了最大的市場佔有率。
本地供應鏈分析是指在組織的實體基礎架構內部署和運行供應鏈分析軟體和工具的做法,而不是依賴基於雲端的或外部解決方案。它提供了對整個分析堆疊(從資料儲存到分析工具)的更好的客製化和控制。這種靈活性允許組織根據其特定需求客製化分析環境。本地供應鏈分析解決方案可以幫助組織實施特定的安全措施和存取控制,從而保持對各種法規的遵守。它還可以提供對此資料的更快訪問,因為它們不依賴外部網路連接。
大型企業
中小企業
大企業佔最大市場佔有率
報告還根據企業規模對市場進行了詳細的細分和分析。這包括大型企業和中小企業。報告顯示,大型企業佔據了最大的市場佔有率。
大型企業需要供應鏈分析有幾個關鍵原因,因為它可以顯著影響其效率、競爭力和獲利能力。供應鏈分析可以幫助大型企業更了解需求模式、交貨時間和季節性。大型企業通常擁有複雜的製造和分銷網路。分析可以幫助簡化這些流程、縮短交付週期並提高整體營運效率。此外,管理良好的供應鏈可以透過提高訂單準確性、縮短交貨時間以及更有效地滿足客戶需求的能力來提供更好的客戶服務。供應鏈分析可以幫助追蹤和報告環境、社會和治理 (ESG) 標準的合規性。此外,它還提供有價值的資料和見解,支持數據驅動的決策。這有助於企業對其供應鏈策略、投資和改進做出明智的選擇。
汽車
食品和飲料
醫療保健和製藥
製造業
零售和消費品
運輸與物流
其他
製造業佔最大市場佔有率
報告還提供了基於垂直行業的詳細市場細分和分析。這包括汽車、食品和飲料、醫療保健和製藥、製造、零售和消費品、運輸和物流等。報告稱,製造業佔了最大的市場佔有率。
供應鏈分析在最佳化製造業方面發揮著至關重要的作用,因為它可以透過分析歷史銷售資料、市場趨勢和其他相關因素來幫助製造商更準確地預測需求。製造商還使用分析技術,透過分析交貨時間、需求變化和生產能力等因素來最佳化庫存水準。他們可以確定最佳庫存水平,以降低運輸成本,同時確保產品可用性。供應鏈分析有助於最佳化生產計劃和流程。它還可以幫助製造商最佳化運輸路線,選擇最具成本效益的承運商,並最大限度地降低運輸成本。它使製造商能夠及早發現缺陷,減少浪費,並透過分析品質資料確保產品符合品質標準。
北美洲
美國
加拿大
亞太地區
中國
日本
印度
韓國
澳洲
印尼
其他
歐洲
德國
法國
英國
義大利
西班牙
俄羅斯
其他
拉丁美洲
巴西
墨西哥
其他
中東和非洲
北美表現出明顯的主導地位,佔據最大的供應鏈分析市場佔有率
市場研究報告還對所有主要區域市場進行了全面分析,其中包括北美(美國和加拿大);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告稱,北美佔據最大的市場佔有率。
由於對早期缺陷、減少浪費並確保產品符合品質標準的需求不斷成長,北美佔據了最大的市場佔有率。除此之外,線上銷售產品和服務並將其運送到買家家門口的電子商務平台的不斷湧現正在推動市場的成長。除此之外,組織之間對降低營運成本的方法的需求不斷成長,也促進了市場的成長。此外,越來越多的法規和環境問題使組織能夠追蹤和報告其供應鏈實踐,這正在加強市場的成長。
由於資料分析和人工智慧 (AI) 的不斷進步,亞太地區預計將在這一領域進一步擴張。此外,物聯網(IoT)設備的日益普及和資料收集方法的改進正在推動市場的成長。
主要市場參與者正在大力投資先進的分析技術,包括機器學習 (ML)、人工智慧 (AI) 和預測分析,因為這些技術可以實現更好的需求預測、最佳化庫存和識別成本節約機會。他們還在擴展其雲端產品,以滿足更多客戶的需求並提供即時資料分析功能。頂尖公司正在整合物聯網設備和感測器,從供應鏈中的各個點收集即時資料,從而實現更好的可見度和決策。他們還將永續性指標整合到其分析解決方案中,以幫助組織減少碳足跡、最佳化路線並做出環保的採購決策。
阿克斯威
凱捷公司
國際商業機器公司
Infor公司(科氏工業公司)
基納西斯公司
曼哈頓聯合公司
微策略公司
甲骨文公司
QlikTech 國際公司
SAP系統公司
SAS 研究所公司
Tableau 軟體有限責任公司(Salesforce Inc.)
2023年,Axway宣布與Akoya合作,改變與第三方應用程式分享客戶資訊的方式,並協助金融機構挖掘開放應用程式介面(API)的潛力。
2023 年 9 月,國際商業機器公司宣布擴大 IBM 雲端安全與合規中心,該中心旨在協助組織降低混合、多雲環境和工作負載中的風險並保護資料。
2021 年 11 月,Oracle 公司宣布推出新的雲端分析解決方案,為 Oracle 融合雲端供應鏈和製造 (SCM) 客戶提供更快識別、理解和解決整個供應鏈問題所需的見解。
The global supply chain analytics market size reached US$ 6.9 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 18.29 Billion by 2028, exhibiting a growth rate (CAGR) of 17.64% during 2022-2028. The growing digital transformation of businesses, rising demand for end-to-end visibility and transparency in supply chains, and increasing online shopping activities among individuals to purchase products and services from e-commerce platforms are some of the major factors propelling the market.
Supply chain analytics refers to the procedure of collecting, examining, and interpreting data from various sources within a supply chain to gain actionable insights, optimize operations, and make informed decisions. It combines statistical techniques, data mining, predictive modeling, and business intelligence to transform raw data into valuable information, helping organizations streamline their supply chain processes and achieve strategic objectives. It improves customer satisfaction and loyalty by ensuring product availability and on-time deliverables. It also enables companies to gain a competitive edge by responding faster to market changes and customer needs.
At present, the increasing demand for supply chain analytics to optimize inventory levels, production schedules, and procurement is impelling the growth of the market. Besides this, the rising focus on efficiently analyzing stock levels, turnover rates, and lead times to reduce carrying costs while ensuring product availability is contributing to the growth of the market. In addition, the growing integration of supply chain analytics in identifying and mitigating potential supply chain disruptions, including natural disasters or geopolitical events, is offering a favorable market outlook. Apart from this, the increasing number of organizations adopting advanced analytics solutions to enhance their operational efficiency, lessen costs, and improve overall supply chain visibility is supporting the growth of the market. Additionally, the rising proliferation of big data and the Internet of Things (IoT) is strengthening the market growth.
Growing digital transformation of businesses
The growing digital transformation of businesses is currently exerting a positive influence on the expansion of the supply chain analytics market. Besides this, organizations are continually investing in advanced data analytics technologies and tools to harness the power of big data. This investment is enabling businesses to capture, store, and analyze vast amounts of supply chain data in real time. As a result, companies are better equipped to make correct decisions and optimize their supply chain operations continuously. Furthermore, the inclusion of artificial intelligence (AI) and machine learning (ML) algorithms into supply chain analytics solutions is enhancing its functionalities. These technologies enable predictive and prescriptive analytics, allowing businesses to anticipate demand fluctuations, optimize inventory levels, and identify potential bottlenecks or disruptions in the supply chain.
Rising demand for end-to-end visibility and transparency in supply chains
The rising demand for end-to-end visibility and transparency in supply chains is propelling the growth of the supply chain analytics market. Besides this, organizations across various industries are recognizing the critical importance of real-time insights into their supply chain operations. They are increasingly investing in advanced analytics solutions to gain continuous visibility into every facet of their supply chain, including raw material sourcing and final product delivery. Moreover, companies are actively implementing supply chain analytics platforms that are capable of monitoring, tracking, and analyzing data from innumerable sources, including suppliers, logistics providers, and internal operations. This real-time monitoring enables them to respond swiftly to disruptions, identify bottlenecks, optimize inventory levels, and enhance overall operational efficiency. Furthermore, the rising consumer awareness about product traceability, sustainability, and ethical sourcing is compelling businesses to provide comprehensive visibility into their supply chains.
Increasing online shopping activities of individuals
The increasing online shopping activities of individuals are bolstering the demand for supply chain analytics. Besides this, as consumers increasingly turn to online platforms to make their purchases, businesses are confronted with a multitude of challenges in managing their supply chains efficiently. These challenges include fluctuating demand patterns, complex logistics, and the need for real-time visibility into inventory and order fulfillment. In response to these evolving requirements, companies are turning to supply chain analytics solutions as a means to gain actionable insights and optimize their operations. Furthermore, there is a rise in the maintenance of supply chain resilience and agility, driven by factors, such as global disruptions and unexpected events. The continuous growth of online shopping intensifies the importance of supply chain analytics in risk mitigation, enabling organizations to proactively identify vulnerabilities, develop contingency plans, and ensure business continuity.
IMARC Group provides an analysis of the key trends in each segment of the global supply chain analytics market report, along with forecasts at the global, regional, and country levels for 2023-2028. Our report has categorized the market based on component, deployment mode, enterprise size, and industry vertical.
Software
Demand Analysis and Forecasting
Supplier Performance Analytics
Spend and Procurement Analytics
Inventory Analytics
Transportation and Logistics Analytics
Services
Professional
Support and Maintenance
Software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) dominates the market
The report has provided a detailed breakup and analysis of the market based on the component. This includes software (demand analysis and forecasting, supplier performance analytics, spend and procurement analytics, inventory analytics, and transportation and logistics analytics) and services (professional and support and maintenance). According to the report, software represented the largest segment.
Supply chain analytics software is a type of software designed to help organizations analyze and optimize their supply chain operations. It integrates data from multiple sources, including enterprise resource planning (ERP) systems and external data sources, such as market trends and weather forecasts. It often includes demand forecasting modules that use historical data and advanced forecasting algorithms to predict future demand for products or materials. It can also help organizations optimize their inventory levels by identifying excess or shortages and suggesting reorder points and quantities. It can also optimize transportation routes and modes, reduce shipping costs, and improve delivery times.
On-premises
Cloud-based
On-premises hold the largest share in the market
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based. According to the report, on-premises accounted for the largest market share.
On-premises supply chain analytics refers to the practice of deploying and running supply chain analytics software and tools within the physical infrastructure of an organization rather than relying on cloud-based or external solutions. It offers greater customization and control over the entire analytics stack, from data storage to analytical tools. This flexibility allows organizations to tailor their analytics environment to their specific needs. On-premises supply chain analytics solutions can help organizations maintain compliance with various regulations by allowing them to implement specific security measures and access controls. It can also provide faster access to this data because they do not rely on external network connections.
Large Enterprises
Small and Medium Enterprises
Large enterprises hold the biggest share in the market
A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes large enterprises and small and medium enterprises. According to the report, large enterprises accounted for the largest market share.
Large enterprises require supply chain analytics for several critical reasons, as it can significantly impact their efficiency, competitiveness, and profitability. Supply chain analytics can help large enterprises better understand demand patterns, lead times, and seasonality. Large enterprises often have complex manufacturing and distribution networks. Analytics can help streamline these processes, reduce lead times, and improve overall operational efficiency. Moreover, a well-managed supply chain can lead to better customer service through improved order accuracy, shorter delivery times, and the ability to meet customer demands more effectively. Supply chain analytics can help track and report on compliance with environmental, social, and governance (ESG) standards. Furthermore, it provides valuable data and insights that enable data-driven decision-making. This helps enterprises make informed choices about their supply chain strategies, investments, and improvements.
Automotive
Food and Beverages
Healthcare and Pharmaceuticals
Manufacturing
Retail and Consumer Goods
Transportation and Logistics
Others
Manufacturing holds the maximum share in the market
A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes automotive, food and beverages, healthcare and pharmaceuticals, manufacturing, retail and consumer goods, transportation and logistics, and others. According to the report, manufacturing accounted for the largest market share.
Supply chain analytics plays a crucial role in optimizing the manufacturing sector as it helps manufacturers predict demand more accurately by analyzing historical sales data, market trends, and other relevant factors. Manufacturers also use analytics to optimize their inventory levels by analyzing factors like lead times, demand variability, and production capacity. They can determine the optimal stock levels to reduce carrying costs while ensuring product availability. Supply chain analytics assists in optimizing production schedules and processes. It also helps manufacturers optimize transportation routes, select the most cost-effective carriers, and minimize shipping costs. It enables manufacturers to identify defects early, reduce waste, and ensure products meet quality standards by analyzing quality data.
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest supply chain analytics market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
North America held the biggest market share due to the rising demand for defects early, reduce waste, and ensure products meet quality standards. Besides this, the increasing emergence of e-commerce platforms selling products and services online and delivering them to the doorstep of buyers is propelling the growth of the market. Apart from this, the rising demand for methods to reduce operational costs among organizations is contributing to the growth of the market. Additionally, increasing regulations and environmental concerns enabling organizations to track and report on their supply chain practices are strengthening the growth of the market.
Asia Pacific is estimated to expand further in this domain due to rising advancements in data analytics and artificial intelligence (AI). Moreover, the increasing proliferation of Internet of Things (IoT) devices and improved data collection methods is bolstering the growth of the market.
Key market players are investing heavily in advanced analytics technologies, including machine learning (ML), artificial intelligence (AI), and predictive analytics, as these technologies enable better demand forecasting, optimization of inventory, and identification of cost-saving opportunities. They are also expanding their cloud offerings to cater to a greater number of clients and provide real-time data analysis capabilities. Top companies are incorporating IoT devices and sensors to collect real-time data from various points in the supply chain, enabling better visibility and decision-making. They are also integrating sustainability metrics into their analytics solutions to help organizations reduce their carbon footprint, optimize routes, and make eco-friendly sourcing decisions.
Axway
Capgemini SE
International Business Machines Corporation
Infor Inc (Koch Industries Inc.)
Kinaxis Inc.
Manhattan Associates Inc.
Microstrategy Incorporated
Oracle Corporation
QlikTech International AB
SAP SE
SAS Institute Inc.
Tableau Software LLC (Salesforce Inc.)
In 2023, Axway announced its partnership with Akoya to modify the way customer information is shared with third-party applications and help financial institutions to tap into the potential of open application programming interfaces (APIs).
In September 2023, International Business Machines Corporation announced the expansion of IBM cloud security and compliance center created to help organizations mitigate risk and protect data across their hybrid, multi-cloud environments and workloads.
In November 2021, Oracle Corporation announced the launch of a new cloud analytics solution that provides Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) clients the insights needed to identify, understand, and resolve issues faster throughout the supply chain.