As per Intent Market Research, the Supply Chain Management Market was valued at USD 23.7 Billion in 2024-e and will surpass USD 43.9 Billion by 2030; growing at a CAGR of 10.9% during 2025 - 2030.
The global supply chain management (SCM) market is witnessing significant growth, driven by the increasing complexity of supply networks, rising demand for automation, and the need for real-time visibility. Businesses across various industries are adopting advanced SCM solutions to enhance efficiency, reduce costs, and mitigate risks in an increasingly volatile global trade environment. The integration of artificial intelligence (AI), machine learning (ML), blockchain, and IoT into SCM solutions is transforming logistics, procurement, and inventory management. Additionally, the shift toward digital supply chains, e-commerce expansion, and the growing need for resilient and sustainable operations are further fueling market growth.
Software Segment Is Largest Owing To Rising Demand For Advanced Digital Solutions
The software segment holds the largest share in the SCM market as businesses increasingly rely on digital solutions for seamless supply chain operations. Advanced SCM software enables real-time tracking, predictive analytics, demand forecasting, and automated workflows, reducing inefficiencies and enhancing decision-making. Companies are investing in AI-driven SCM platforms to optimize procurement, warehouse management, and transportation. Moreover, the rising adoption of cloud-based software solutions is further driving growth, enabling enterprises to achieve greater scalability, flexibility, and cost-effectiveness in managing their supply chains.
.JPG)
Cloud-Based Segment Is Fastest Growing Due To Scalability And Cost Efficiency
Cloud-based SCM solutions are experiencing the fastest growth, as organizations increasingly prefer scalable, cost-effective, and remotely accessible systems. The shift from traditional on-premises solutions to cloud-based platforms is driven by benefits such as reduced infrastructure costs, seamless integration with other enterprise systems, and enhanced data security. Cloud solutions provide real-time supply chain visibility, enabling businesses to make agile decisions in response to market fluctuations. With growing digital transformation efforts and the increasing role of AI-powered analytics, cloud-based SCM adoption is expected to accelerate further.
Large Enterprises Segment Is Largest Owing To Complex Global Supply Chains
Large enterprises dominate the SCM market due to their extensive and intricate supply networks, requiring advanced solutions for efficient operations. These enterprises invest heavily in supply chain automation, predictive analytics, and AI-driven optimization to manage complex logistics, multiple suppliers, and global distribution channels. Additionally, large companies are leveraging blockchain for enhanced transparency and cybersecurity in their supply chains. As competition intensifies, enterprises are focusing on digitization and sustainability, driving continuous investment in sophisticated SCM solutions.
Retail & E-Commerce Segment Is Fastest Growing Due To Expanding Online Shopping Trends
The retail & e-commerce industry is the fastest-growing vertical in the SCM market, fueled by the rapid expansion of online shopping, direct-to-consumer (DTC) models, and omnichannel retailing. The need for efficient order fulfillment, real-time inventory tracking, and last-mile delivery optimization is driving demand for advanced SCM solutions. Companies are adopting AI-powered demand forecasting, robotic process automation (RPA), and smart warehousing to enhance customer experience and reduce supply chain disruptions. With the continuous rise of digital retail, this segment is set to experience exponential growth.
Inventory & Warehouse Management Segment Is Largest Owing To Rising Demand For Automation
Inventory & warehouse management is the largest function segment in the SCM market, driven by the increasing need for automated and data-driven inventory control. Businesses are investing in AI-powered warehouse solutions, RFID tracking, and autonomous robots to optimize space utilization, reduce errors, and improve order accuracy. The surge in e-commerce and just-in-time (JIT) inventory models has further heightened the need for efficient warehouse management solutions. As supply chains become more dynamic, companies are prioritizing advanced inventory management to enhance efficiency and reduce operational costs.
North America Is Largest Market Owing To Strong Technological Adoption
North America holds the largest share in the SCM market, driven by high technological adoption, a well-established logistics infrastructure, and the presence of major industry players. The region is at the forefront of adopting AI, blockchain, IoT, and cloud computing in supply chain operations. Companies in North America are focusing on supply chain resilience, automation, and sustainability, further propelling market growth. Additionally, the strong presence of e-commerce giants and advanced logistics networks in the U.S. and Canada ensures continuous investment in SCM innovations.
.JPG)
Leading Companies And Competitive Landscape
The supply chain management market is highly competitive, with key players such as SAP SE, Oracle Corporation, IBM, Manhattan Associates, and Blue Yonder leading the industry. Companies are focusing on AI-driven analytics, blockchain-based transparency, and automation to enhance supply chain efficiency. Strategic partnerships, cloud integrations, and mergers & acquisitions are shaping the competitive landscape, with players expanding their offerings to cater to evolving industry demands. As supply chains become increasingly digital and complex, competition among market leaders will continue to intensify, driving innovation and technological advancements.
List of Leading Companies:
- SAP SE
- Oracle Corporation
- IBM Corporation
- Microsoft Corporation
- Infor
- Blue Yonder (JDA Software)
- Manhattan Associates
- Epicor Software Corporation
- Coupa Software Inc.
- Kinaxis Inc.
- HighJump (Körber Supply Chain)
- Descartes Systems Group
- E2open
- Logility
- GEP Worldwide
Recent Developments:
- SAP SE introduced AI-powered enhancements to its supply chain management suite in February 2025 to improve demand forecasting accuracy.
- Oracle Corporation launched a blockchain-based supply chain security feature in January 2025 to enhance transparency and traceability in logistics.
- IBM Corporation partnered with a leading logistics provider in December 2024 to deploy AI-driven supply chain automation.
- Microsoft Corporation integrated generative AI tools into its Dynamics 365 SCM platform in November 2024 to enhance operational efficiency.
- Kinaxis Inc. expanded its cloud-based supply chain planning solutions in October 2024 to cater to the growing demand in the Asia-Pacific region.
Report Scope:
|
Report Features |
Description |
|
Market Size (2024-e) |
USD 23.7 Billion |
|
Forecasted Value (2030) |
USD 43.9 Billion |
|
CAGR (2025 – 2030) |
10.9% |
|
Base Year for Estimation |
2024-e |
|
Historic Year |
2023 |
|
Forecast Period |
2025 – 2030 |
|
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
|
Segments Covered |
Supply Chain Management Market By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premises), By Enterprise Size (Large Enterprises, Small & Medium Enterprises (SMEs)), By Industry Vertical (Retail & E-Commerce, Manufacturing, Healthcare & Pharmaceuticals, Automotive, Food & Beverage, Transportation & Logistics, Energy & Utilities), By Function (Procurement & Sourcing, Inventory & Warehouse Management, Order Management, Transportation & Logistics, Supply Chain Planning & Analytics) |
|
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
|
Major Companies |
SAP SE, Oracle Corporation, IBM Corporation, Microsoft Corporation, Infor, Blue Yonder (JDA Software), Epicor Software Corporation, Coupa Software Inc., Kinaxis Inc., HighJump (Körber Supply Chain), Descartes Systems Group, E2open, GEP Worldwide |
|
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
Frequently Asked Questions
The Supply Chain Management Market was valued at USD 23.7 Billion in 2024-e and is expected to grow at a CAGR of 10.9% of over from 2025 to 2030.
The supply chain management (SCM) market comprises software and services that help businesses optimize procurement, logistics, inventory, and transportation operations.
The increasing adoption of digital technologies, AI-driven analytics, real-time visibility solutions, and the growing demand for cloud-based SCM platforms are major drivers.
Retail, e-commerce, manufacturing, automotive, healthcare, and food & beverage industries have the highest demand for supply chain management solutions.
Emerging trends include AI and machine learning in supply chain analytics, blockchain for secure transactions, IoT-enabled tracking, and predictive analytics for demand forecasting.
|
1. Introduction |
|
1.1. Market Definition |
|
1.2. Scope of the Study |
|
1.3. Research Assumptions |
|
1.4. Study Limitations |
|
2. Research Methodology |
|
2.1. Research Approach |
|
2.1.1. Top-Down Method |
|
2.1.2. Bottom-Up Method |
|
2.1.3. Factor Impact Analysis |
|
2.2. Insights & Data Collection Process |
|
2.2.1. Secondary Research |
|
2.2.2. Primary Research |
|
2.3. Data Mining Process |
|
2.3.1. Data Analysis |
|
2.3.2. Data Validation and Revalidation |
|
2.3.3. Data Triangulation |
|
3. Executive Summary |
|
3.1. Major Markets & Segments |
|
3.2. Highest Growing Regions and Respective Countries |
|
3.3. Impact of Growth Drivers & Inhibitors |
|
3.4. Regulatory Overview by Country |
|
4. Supply Chain Management Market, by Component (Market Size & Forecast: USD Million, 2023 – 2030) |
|
4.1. Software |
|
4.2. Services |
|
5. Supply Chain Management Market, by Deployment Mode (Market Size & Forecast: USD Million, 2023 – 2030) |
|
5.1. Cloud-Based |
|
5.2. On-Premises |
|
6. Supply Chain Management Market, by Enterprise Size (Market Size & Forecast: USD Million, 2023 – 2030) |
|
6.1. Large Enterprises |
|
6.2. Small & Medium Enterprises (SMEs) |
|
7. Supply Chain Management Market, by Industry Vertical (Market Size & Forecast: USD Million, 2023 – 2030) |
|
7.1. Retail & E-Commerce |
|
7.2. Manufacturing |
|
7.3. Healthcare & Pharmaceuticals |
|
7.4. Automotive |
|
7.5. Food & Beverage |
|
7.6. Transportation & Logistics |
|
7.7. Energy & Utilities |
|
7.8. Others |
|
8. Supply Chain Management Market, by Function (Market Size & Forecast: USD Million, 2023 – 2030) |
|
8.1. Procurement & Sourcing |
|
8.2. Inventory & Warehouse Management |
|
8.3. Order Management |
|
8.4. Transportation & Logistics |
|
8.5. Supply Chain Planning & Analytics |
|
8.6. Others |
|
9. Regional Analysis (Market Size & Forecast: USD Million, 2023 – 2030) |
|
9.1. Regional Overview |
|
9.2. North America |
|
9.2.1. Regional Trends & Growth Drivers |
|
9.2.2. Barriers & Challenges |
|
9.2.3. Opportunities |
|
9.2.4. Factor Impact Analysis |
|
9.2.5. Technology Trends |
|
9.2.6. North America Supply Chain Management Market, by Component |
|
9.2.7. North America Supply Chain Management Market, by Deployment Mode |
|
9.2.8. North America Supply Chain Management Market, by Enterprise Size |
|
9.2.9. North America Supply Chain Management Market, by Industry Vertical |
|
9.2.10. North America Supply Chain Management Market, by Function |
|
9.2.11. By Country |
|
9.2.11.1. US |
|
9.2.11.1.1. US Supply Chain Management Market, by Component |
|
9.2.11.1.2. US Supply Chain Management Market, by Deployment Mode |
|
9.2.11.1.3. US Supply Chain Management Market, by Enterprise Size |
|
9.2.11.1.4. US Supply Chain Management Market, by Industry Vertical |
|
9.2.11.1.5. US Supply Chain Management Market, by Function |
|
9.2.11.2. Canada |
|
9.2.11.3. Mexico |
|
*Similar segmentation will be provided for each region and country |
|
9.3. Europe |
|
9.4. Asia-Pacific |
|
9.5. Latin America |
|
9.6. Middle East & Africa |
|
10. Competitive Landscape |
|
10.1. Overview of the Key Players |
|
10.2. Competitive Ecosystem |
|
10.2.1. Level of Fragmentation |
|
10.2.2. Market Consolidation |
|
10.2.3. Product Innovation |
|
10.3. Company Share Analysis |
|
10.4. Company Benchmarking Matrix |
|
10.4.1. Strategic Overview |
|
10.4.2. Product Innovations |
|
10.5. Start-up Ecosystem |
|
10.6. Strategic Competitive Insights/ Customer Imperatives |
|
10.7. ESG Matrix/ Sustainability Matrix |
|
10.8. Manufacturing Network |
|
10.8.1. Locations |
|
10.8.2. Supply Chain and Logistics |
|
10.8.3. Product Flexibility/Customization |
|
10.8.4. Digital Transformation and Connectivity |
|
10.8.5. Environmental and Regulatory Compliance |
|
10.9. Technology Readiness Level Matrix |
|
10.10. Technology Maturity Curve |
|
10.11. Buying Criteria |
|
11. Company Profiles |
|
11.1. SAP SE |
|
11.1.1. Company Overview |
|
11.1.2. Company Financials |
|
11.1.3. Product/Service Portfolio |
|
11.1.4. Recent Developments |
|
11.1.5. IMR Analysis |
|
*Similar information will be provided for other companies |
|
11.2. Oracle Corporation |
|
11.3. IBM Corporation |
|
11.4. Microsoft Corporation |
|
11.5. Infor |
|
11.6. Blue Yonder (JDA Software) |
|
11.7. Manhattan Associates |
|
11.8. Epicor Software Corporation |
|
11.9. Coupa Software Inc. |
|
11.10. Kinaxis Inc. |
|
11.11. HighJump (Körber Supply Chain) |
|
11.12. Descartes Systems Group |
|
11.13. E2open |
|
11.14. Logility |
|
11.15. GEP Worldwide |
|
12. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Supply Chain Management Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Supply Chain Management Market The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
.jpg)
Secondary Research
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary Research
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:
- Validating findings and assumptions derived from secondary research
- Gathering qualitative and quantitative data on market trends, drivers, and challenges
- Understanding the demand-side dynamics, encompassing end-users, component manufacturers, facility providers, and service providers
- Assessing the supply-side landscape, including technological advancements and recent developments
Market Size Assessment
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Supply Chain Management Market These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
- Identification of key industry players and relevant revenues through extensive secondary research
- Determination of the industry's supply chain and market size, in terms of value, through primary and secondary research processes
- Calculation of percentage shares, splits, and breakdowns using secondary sources and verification through primary sources
.jpg)
Data Triangulation
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.