Market Forecast by Countries (United States, Canada), By Software (Supplier Performance Analytics, Dem, Analysis & Forecasting, Spend & Procurement Analytics), By Component (Software, Services), By Deployment Mode (Cloud, On-premises), By Organization Size (Large Enterprises, SMEs), By Service (Professional Services, Managed Services), By Vertical (Automotive, Retail & Consumer Goods, F&B Manufacturing, Machinery & Industrial Equipment Manufacturing, Pharmaceutical, Government, Energy & Utilities) And Competitive Landscape
| Product Code: ETC4620800 | Publication Date: Jul 2023 | Updated Date: Dec 2025 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 200 | No. of Figures: 90 | No. of Tables: 300 |
According to 6Wresearch internal database and industry insights, The North America Supply Chain Analytics Market was valued at approximately USD 4.5 billion in 2025 and is projected to reach nearly USD 8.2 billion by 2032, registering a compound annual growth rate (CAGR) of 10.5 % during the forecast period (2026-2032).
Below mentioned are the evaluation of year-wise growth rate along with key drivers:
| Years | Est. Annual Growth (%) | Growth Drivers |
| 2021 | 8.5 | Increasing need for data-driven decision-making in supply chain operations |
| 2022 | 9 | Growing focus on automation and real-time analytics for improved supply chain visibility |
| 2023 | 9.6 | Rising demand for cost optimization and better procurement strategies |
| 2024 | 10 | Advancements in AI and machine learning to enhance forecasting accuracy |
| 2025 | 10.2 | Increasing adoption of cloud-based solutions to enable scalability and flexibility |
The North America Supply Chain Analytics Market report thoroughly covers the market by countries, software, component, deployment mode, organization size, service, and vertical. The report provides an unbiased and detailed analysis of ongoing market trends, opportunities, high-growth areas, and market drivers, which would help stakeholders devise and align their market strategies according to the current and future market dynamics.
| Report Name | North America Supply Chain Analytics Market |
| Forecast Period | 2026-2032 |
| Market Size | USD 8.2 billion by 2032 |
| CAGR | 10.5% |
| Growing Sector | Logistics & Supply Chain |
The North America Supply Chain Analytics Market has been growing rapidly as a result of organizations' growing need for greater access to real time data in order to make informed and timely decisions. As a result, many companies are investing in the use of new advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning (ML), and others to not only improve their operational efficiencies but also save money through optimization of costs throughout the entire supply chain.
Below mentioned are some growth drivers and their impact on market dynamics:
| Drivers | Primary Segments Affected | Why It Matters |
| Data-Driven Decision Making | All Sectors | Helps in improving operational efficiency and enhancing business intelligence. |
| Demand for Automation | Manufacturing, Retail, Automotive, Pharma | Automation increases supply chain efficiency, reduces errors, and speeds up the process. |
| Cloud-based Solutions | All Sectors | Scalable solutions are providing increased flexibility and accessibility for businesses. |
| Regulatory Compliance | All Sectors | Rising need for companies to ensure their supply chain operations meet regulatory standards. |
| Adoption of AI and ML | Manufacturing, Retail, Pharma, Automotive | AI and ML enable more accurate predictions and optimizations, enhancing supply chain performance. |
The North America Supply Chain Analytics Market size is projected to grow at a CAGR of 10.5 % during the forecast period (2026–2032). The growing demand for real-time data analytics, AI-driven insights, and automating supply chain operations will continue to drive the North America Supply Chain Analytics Market Growth. To help them better manage inventory, accurately forecast demand, and efficiently plan for logistics, companies are turning to supply chain analytics to make these changes happen and ultimately save on operating costs, increase their level of efficiency, and create better customer experiences. Furthermore, as a growing number of companies are focusing on sustainability, operational resilience, and resilience within their supply chains, they are adopting supply chain analytics solutions in all industries.
Below mentioned are some major restraints and their influence on market dynamics:
| Restraints | Primary Segments Affected | What This Means |
| High Implementation Costs | SMEs, Industrial Sectors | High initial costs deter smaller organizations from adopting supply chain analytics solutions. |
| Lack of Skilled Professionals | All Sectors | Difficulty in finding skilled professionals limits the effective adoption of complex analytics solutions. |
| Data Privacy Concerns | Retail, Pharma, Government | Privacy concerns related to handling sensitive data in supply chain operations limit data sharing and adoption. |
| Integration Complexities | All Sectors | Complicated integration with existing systems can delay the deployment of supply chain analytics platforms. |
In the North America Supply Chain Analytics Industry, there are several Challenges faced by the market which includes data privacy and security concerns, integration complexities with existing systems, and high implementation costs. Furthermore, the shortage of skilled professionals who can handle advanced analytics tools and interpret complex data is a challenge. Smaller companies often struggle with adopting advanced analytics because of limited resources or inadequate technological infrastructure, which slows market growth in certain industries.
Some major trends contributing to the growth of the North America Supply Chain Analytics Market include:
Here are some investment opportunities in the North America Supply Chain Analytics Market:
Here are some top companies contributing to the North America Supply Chain Analytics Market Share:
| Company Name | SAP SE |
|---|---|
| Established Year | 1972 |
| Headquarters | Walldorf, Germany |
| Official Website | Click Here |
SAP provides cloud-based supply chain analytics solutions that leverage AI, machine learning, and big data technologies to optimize business operations across industries.
| Company Name | Oracle Corporation |
|---|---|
| Established Year | 1977 |
| Headquarters | Redwood City, California, USA |
| Official Website | Click Here |
Oracle offers end-to-end supply chain management solutions with a strong emphasis on data analytics, automation, and optimization to improve overall supply chain efficiency.
| Company Name | IBM Corporation |
|---|---|
| Established Year | 1911 |
| Headquarters | Armonk, New York, USA |
| Official Website | Click Here |
IBM focuses on offering AI-driven analytics solutions, providing deep insights into supply chain processes and enabling organizations to make data-backed decisions to improve operational performance.
| Company Name | JDA Software (Blue Yonder) |
|---|---|
| Established Year | 1985 |
| Headquarters | Scottsdale, Arizona, USA |
| Official Website | Click Here |
Blue Yonder offers supply chain analytics solutions with a focus on predictive analytics, demand forecasting, and inventory optimization for various industries.
| Company Name | Kinaxis |
|---|---|
| Established Year | 1984 |
| Headquarters | Ottawa, Canada |
| Official Website | Click Here |
Kinaxis provides cloud-based supply chain management solutions that offer powerful analytics, allowing businesses to quickly respond to disruptions and improve decision-making processes.
Numerous government actions enhance the efficiency of supply chains, the sustainability of supply chains, and the implementation of technology to build efficiencies in North America. The United States’ National Supply Chain Strategy promotes the utilization of advanced technology and supply chain analytics to improve the degree of resilience and efficiency in the supply chain. Likewise, Canada Smart Cities Challenge encourages municipalities to embrace data-driven technologies to improve the configuration of urban infrastructure and improve the operational efficiency of supply chains within municipalities.
The future of the North America Supply Chain Analytics Market is promising, fueled by technological advancements, rising demand for real-time analytics, and the need for cost optimization. As businesses increasingly adopt automation, AI, and cloud solutions, the market will continue to grow. Key trends include a focus on sustainability and integrated, data-driven decision-making, allowing companies to enhance efficiency, reduce costs, and improve supply chain performance. These factors will drive the market’s expansion in the coming years.
The report offers a comprehensive study of the following market segments and their leading categories:
According to Ritika Kalra, Senior Research Analyst, 6Wresearch, the United States is projected to dominate the North America Supply Chain Analytics Market due to its strong focus on innovation, advanced technological adoption, and government incentives that foster the growth of analytics-based supply chain solutions.
The Supplier Performance Analytics segment dominates the market, as businesses increasingly focus on assessing supplier performance and making data-driven decisions to optimize procurement processes and reduce costs.
The Software segment leads the market due to the increasing reliance on data-driven software solutions for improving supply chain visibility, forecasting, and decision-making processes.
The Cloud deployment mode dominates the market, as companies prefer cloud-based solutions for their scalability, flexibility, and cost-effectiveness in managing supply chain analytics and operations.
Large Enterprises dominate the North America Supply Chain Analytics Market due to their substantial budgets, higher adoption rates of advanced analytics technologies, and complex supply chain needs.
Professional Services lead the market, as organizations require expert consulting and implementation support to effectively deploy and integrate supply chain analytics solutions.
The Automotive sector dominates the market, driven by the increasing need for real-time data analytics and optimization of supply chains in the automotive industry, where delays and inefficiencies can be costly.
The North America Supply Chain Analytics Market report provides a detailed analysis of the following market segments:
| 1 Executive Summary |
| 2 Introduction |
| 2.1 Key Highlights of the Report |
| 2.2 Report Description |
| 2.3 Market Scope & Segmentation |
| 2.4 Research Methodology |
| 2.5 Assumptions |
| 3 North America Supply Chain Analytics Market Overview |
| 3.1 North America Regional Macro Economic Indicators |
| 3.2 North America Supply Chain Analytics Market Revenues & Volume, 2022 & 2032F |
| 3.3 North America Supply Chain Analytics Market - Industry Life Cycle |
| 3.4 North America Supply Chain Analytics Market - Porter's Five Forces |
| 3.5 North America Supply Chain Analytics Market Revenues & Volume Share, By Countries, 2022 & 2032F |
| 3.6 North America Supply Chain Analytics Market Revenues & Volume Share, By Software , 2022 & 2032F |
| 3.7 North America Supply Chain Analytics Market Revenues & Volume Share, By Component, 2022 & 2032F |
| 3.8 North America Supply Chain Analytics Market Revenues & Volume Share, By Deployment Mode, 2022 & 2032F |
| 3.9 North America Supply Chain Analytics Market Revenues & Volume Share, By Organization Size, 2022 & 2032F |
| 3.10 North America Supply Chain Analytics Market Revenues & Volume Share, By Service, 2022 & 2032F |
| 3.11 North America Supply Chain Analytics Market Revenues & Volume Share, By Vertical, 2022 & 2032F |
| 4 North America Supply Chain Analytics Market Dynamics |
| 4.1 Impact Analysis |
| 4.2 Market Drivers |
| 4.3 Market Restraints |
| 5 North America Supply Chain Analytics Market Trends |
| 6 North America Supply Chain Analytics Market, 2022 - 2032 |
| 6.1 North America Supply Chain Analytics Market, Revenues & Volume, By Software , 2022 - 2032 |
| 6.2 North America Supply Chain Analytics Market, Revenues & Volume, By Component, 2022 - 2032 |
| 6.3 North America Supply Chain Analytics Market, Revenues & Volume, By Deployment Mode, 2022 - 2032 |
| 6.4 North America Supply Chain Analytics Market, Revenues & Volume, By Organization Size, 2022 - 2032 |
| 6.5 North America Supply Chain Analytics Market, Revenues & Volume, By Service, 2022 - 2032 |
| 6.6 North America Supply Chain Analytics Market, Revenues & Volume, By Vertical, 2022 - 2032 |
| 7 United States Supply Chain Analytics Market, 2022 - 2032 |
| 7.1 United States Supply Chain Analytics Market, Revenues & Volume, By Software , 2022 - 2032 |
| 7.2 United States Supply Chain Analytics Market, Revenues & Volume, By Component, 2022 - 2032 |
| 7.3 United States Supply Chain Analytics Market, Revenues & Volume, By Deployment Mode, 2022 - 2032 |
| 7.4 United States Supply Chain Analytics Market, Revenues & Volume, By Organization Size, 2022 - 2032 |
| 7.5 United States Supply Chain Analytics Market, Revenues & Volume, By Service, 2022 - 2032 |
| 7.6 United States Supply Chain Analytics Market, Revenues & Volume, By Vertical, 2022 - 2032 |
| 8 Canada Supply Chain Analytics Market, 2022 - 2032 |
| 8.1 Canada Supply Chain Analytics Market, Revenues & Volume, By Software , 2022 - 2032 |
| 8.2 Canada Supply Chain Analytics Market, Revenues & Volume, By Component, 2022 - 2032 |
| 8.3 Canada Supply Chain Analytics Market, Revenues & Volume, By Deployment Mode, 2022 - 2032 |
| 8.4 Canada Supply Chain Analytics Market, Revenues & Volume, By Organization Size, 2022 - 2032 |
| 8.5 Canada Supply Chain Analytics Market, Revenues & Volume, By Service, 2022 - 2032 |
| 8.6 Canada Supply Chain Analytics Market, Revenues & Volume, By Vertical, 2022 - 2032 |
| 9 North America Supply Chain Analytics Market Key Performance Indicators |
| 10 North America Supply Chain Analytics Market - Opportunity Assessment |
| 10.1 North America Supply Chain Analytics Market Opportunity Assessment, By Countries, 2022 & 2032F |
| 10.2 North America Supply Chain Analytics Market Opportunity Assessment, By Software , 2022 & 2032F |
| 10.3 North America Supply Chain Analytics Market Opportunity Assessment, By Component, 2022 & 2032F |
| 10.4 North America Supply Chain Analytics Market Opportunity Assessment, By Deployment Mode, 2022 & 2032F |
| 10.5 North America Supply Chain Analytics Market Opportunity Assessment, By Organization Size, 2022 & 2032F |
| 10.6 North America Supply Chain Analytics Market Opportunity Assessment, By Service, 2022 & 2032F |
| 10.7 North America Supply Chain Analytics Market Opportunity Assessment, By Vertical, 2022 & 2032F |
| 11 North America Supply Chain Analytics Market - Competitive Landscape |
| 11.1 North America Supply Chain Analytics Market Revenue Share, By Companies, 2022-2032F |
| 11.2 North America Supply Chain Analytics Market Competitive Benchmarking, By Operating and Technical Parameters |
| 12 Company Profiles |
| 13 Recommendations |
| 14 Disclaimer |