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TOKYO – May 29, 2025 – Research Nester’s latest report, “ Global Supply Chain Analytics Market : Supply and Demand Analysis, Growth Forecast, Statistical Report 2025-2037 ,” provides a detailed analysis of market dynamics, growth factors, and region-specific trends. The report segments the market by implementation mode and end user, and focuses on the impact of artificial intelligence (AI), machine learning (ML), and big data analytics on market trends. It also provides a comprehensive assessment of the key drivers, challenges, and emerging opportunities shaping the future of the supply chain analytics industry.

The global supply chain analytics market is growing due to increasing digital transformation, the need for real-time visibility into the supply chain, and the development of AI and ML technologies. Logistics, demand forecasting, and risk management related to supply chain disruptions are areas where companies across industries are using analytics to focus. Factors such as increasing globalization of supply chains, higher demand volatility, and geopolitical risks are driving the need for predictive and prescriptive analytics. In addition, cloud-based analytics solutions are emerging, which are cheaper, scalable, and easier to integrate with existing ERP systems. Advancements in IoT and blockchain technologies in supply chain operations are creating new opportunities for the growth of advanced analytics platforms. The need for supply chain analytics solutions is on the rise as organizations look to improve operational agility and performance.

Key Drivers and Challenges Impacting the Supply Chain Analytics Market

Growth factors:

• Increased adoption of AI and machine learning algorithms to enhance demand forecasting and inventory management

• Increasing demand for real-time supply chain visibility and predictive analytics for proactive decision making.

• Expanding cloud-based analytics platforms to provide scalable, cost-effective solutions

• Increasing regulatory and compliance requirements drive the need for a transparent and traceable supply chain.

assignment:

• High implementation costs and complexity in integrating analytics solutions into existing infrastructure

• Data security concerns associated with cloud-based and IoT integrated supply chain solutions

• A shortage of skilled professionals who can effectively analyze and interpret complex supply chain data.

The full report can be accessed here: https://www.researchnester.jp/industry-analysis/supply-chain-analytics-market/2570

The cloud-based supply chain analytics segment is expected to emerge as the market leader, accounting for 57.3% of the market in 2037, owing to its flexibility, affordability, and ease of deployment. Cloud computing solutions enable companies to integrate real-time data from various locations, making the supply chain more responsive and informed. The rising trend of cloud-based analytics solutions is due to the need for greater visibility into the supply chain, from the supplier side to the company's inventory and logistics. Moreover, cloud-based solutions facilitate the flow of information among various parties, improving communication across the supply chain. Another factor driving the adoption of cloud analytics is its ability to be combined with AI tools for forecasting and automation. As organizations increasingly adopt digital supply chain solutions, cloud-based analytics is predicted to be the most popular deployment option.

North America is expected to dominate the supply chain analytics market with a share of 36.5% during the forecast period, owing to its large scale adoption in logistics, retail, and manufacturing industries. The United States continues to be the most progressive country in the region with regards to investments in AI-based analytical tools to improve supply chain transparency and predictive analytics. Companies are turning to analytics to improve productivity, reduce expenses, and manage supply chain disruptions due to various factors. In Canada, the government as well as many private institutions have started leveraging supply chain analytics to facilitate cross-border trade, improve warehousing facilities, and transportation. Moreover, cloud supply chain analytics is seeing rapid adoption in North America as more companies seek flexible analytical solutions. The region's commitment to digital transformation and technological advancements will ensure stable market growth over the coming years.

The supply chain analytics market is highly competitive, with major players looking to develop new solutions, leverage artificial intelligence (AI) and machine learning, and transition from on-premise to cloud-based solutions to strengthen their market position. Leading companies such as Accenture Plc, Capgemini SE, Fujitsu Ltd., Genpact Ltd., IBM Corporation, Kinaxis Inc., MicroStrategy Inc., Oracle Corporation, SAP SE, SAS Institute Inc., and Tableau Software LLC are leveraging predictive and prescriptive analytics to improve supply chain performance. These companies are expanding their use of artificial intelligence and machine learning to provide timely business intelligence and increase demand sensing, risk, and operational flexibility. Furthermore, emerging opportunities in the logistics and retail industries are helping analytics providers expand their market share. Due to increasing competition, big data analytics, blockchain integration, and automation are expected to play a key role in the supply chain analytics industry during the forecast period.

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