IMARC Group, a leading global market research and management consulting firm, has published its latest market intelligence report on the supply chain analytics market. The global supply chain analytics market grew from USD 11.0 Billion in 2025 to USD 12.7 Billion in 2026. Looking forward, IMARC Group estimates the market to reach USD 41.2 Billion by 2034, exhibiting a CAGR of 15.85% from 2026-2034, driven by rising digital transformation across enterprises, growing demand for end-to-end supply chain visibility, rapid expansion of e-commerce and omnichannel fulfillment, and increasing adoption of AI, machine learning, and IoT-enabled analytics to build resilient, cost-efficient and sustainable supply networks worldwide.

The market is experiencing strong growth momentum as organizations move from reactive supply chain management to data-driven, predictive decision-making. Analytics platforms now span descriptive, predictive, prescriptive, and cognitive capabilities, supporting use cases such as demand forecasting, inventory and logistics optimization, risk management, and supplier evaluation. Global disruptions, volatile trade conditions, and complex multi-tier supplier networks have made real-time visibility a boardroom priority. At the same time, ESG compliance, carbon-footprint tracking, and product traceability requirements are pushing enterprises to embed analytics deeper into procurement, production, and distribution workflows.

How AI is Reshaping the Future of the Supply Chain Analytics Market

• AI-Powered Demand Forecasting and Inventory Optimization: Machine learning models analyze point-of-sale data, seasonality, promotions, weather signals, and supplier lead times to sharpen demand predictions, reduce stockouts and excess inventory, and improve order accuracy. Industry-specific forecasting tools for retail and predictive analytics for manufacturing are becoming core offerings from enterprise software vendors.
• Predictive Risk Intelligence and Disruption Detection: AI-driven platforms scan supplier financials, geopolitical developments, port congestion, and climate indicators to flag disruptions before they hit operations. Solutions such as AI-based international supply chain risk platforms and climate risk scoring tools are helping procurement teams act on early warnings rather than react to shortages.
• Cognitive Analytics, Embedded Intelligence, and Blockchain Traceability: Cloud-native supply chain suites now embed analytics directly into planning and execution workflows, while blockchain-integrated platforms improve provenance tracking, reduce fraud, and support ethical sourcing. Together, these capabilities allow enterprises to move from dashboards to automated, prescriptive recommendations.

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Supply Chain Analytics Market Trends and Drivers:

The global supply chain analytics market is witnessing steady expansion, fueled by the convergence of enterprise digitalization, e-commerce growth, and a strategic shift toward resilient and sustainable supply networks. Digital transformation is the foundational driver. According to World Bank data, the share of microbusinesses investing in digital solutions doubled from 10% to 20%, while the share of large businesses doing so tripled from 20% to 60%. This broad shift in technology spending is creating a strong base for analytics adoption across the value chain. A consulting study also found that about 93% of organizations plan to keep increasing their investment in data and analytics, reflecting the demand for end-to-end visibility from raw material sourcing to last-mile delivery.

E-commerce is a second major catalyst. In the United States alone, online retail sales have crossed USD 1 Trillion, and every incremental order adds pressure on inventory placement, carrier selection, and delivery promise accuracy. Last-mile delivery, demand volatility, and returns management are increasingly handled through analytics. For example, AWS Supply Chain now offers embedded analytics powered by Amazon QuickSight, giving planners a single view of inventory risk and demand signals without building custom data pipelines.

Sustainability and regulatory compliance are adding a third layer of demand. The EU Green Deal and wider carbon neutrality commitments are pushing companies to measure and report emissions across their supply chains. Around 33% of European businesses have used analytics to support sustainability goals, and one study cited efficiency gains of roughly 30% for companies using supply chain analytics. Meanwhile, government programs are strengthening the infrastructure layer:

• The CHIPS Act supports domestic semiconductor production in the United States, increasing the need for analytics to manage complex, high-value component flows.
• Made in China 2025 and smart supply chain initiatives in Singapore, South Korea, and Japan are accelerating industrial digitalization across Asia Pacific.
• Saudi Vision 2030 is driving logistics, trade facilitation, and digital investments across the Middle East.
• The Inter-American Development Bank provided Panama a USD 200 Million policy-based loan to improve logistics competitiveness in Latin America.

Challenges remain, including growing network complexity, cybersecurity risks, regulatory demands, and geopolitical tensions. These same pressures are strengthening the business case for advanced analytics and contingency planning.

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Supply Chain Analytics Industry Segmentation:

The report has segmented the market into the following categories:

Breakup By Component:

• Software
  • Demand Analysis and Forecasting
  • Supplier Performance Analytics
  • Spend and Procurement Analytics
  • Inventory Analytics
  • Transportation and Logistics Analytics
• Services
  • Professional
  • Support and Maintenance

Software holds the largest share at 27.6%, as enterprises prioritize forecasting, procurement, inventory, and transportation analytics tools that convert operational data into actionable decisions.

Breakup By Deployment Mode:

• On-premises
• Cloud-based

On-premises deployment leads with 61.2% share, supported by greater control, customization, data security, low latency, and the absence of ongoing cloud subscription costs, which matters for enterprises handling sensitive supplier and pricing data.

Breakup By Enterprise Size:

• Large Enterprises
• Small and Medium Enterprises

Large enterprises account for 58.9% of the market, using analytics for forecasting, lead-time management, order accuracy, ESG compliance, and risk mitigation across global supplier networks.

Breakup By Industry Vertical:

• Manufacturing
• Automotive
• Food and Beverages
• Healthcare and Pharmaceuticals
• Retail and Consumer Goods
• Transportation and Logistics
• Others

Manufacturing is the leading vertical with 23.8% share, applying analytics to demand prediction, production planning, inventory optimization, and bottleneck detection.

Breakup By Region:

• 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 dominates the global supply chain analytics market with 36.9% share, driven by advanced technology infrastructure, strong AI and ML adoption, a dense base of global vendors, supportive regulation, and e-commerce growth. The United States accounts for roughly 80% of the regional market. Asia Pacific is the fastest-growing region, supported by industrialization, e-commerce expansion, and digitalization in China, India, and neighboring economies. Europe is shaped by sustainability and compliance priorities, while Latin America and the Middle East and Africa are gaining from e-commerce growth, logistics investment, and trade facilitation.

Competitive Landscape:

The report provides a comprehensive analysis of the competitive landscape in the supply chain analytics market with detailed profiles of all major companies, including:

• Axway
• Capgemini SE
• International Business Machines Corporation (IBM)
• 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.)

Leading players are integrating IoT and sensor data, adding sustainability metrics, investing in AI and predictive analytics, and expanding cloud services.

What Does The Full Report Cover?

If you are tracking the supply chain analytics market for investment decisions, market entry planning, competitive benchmarking, or strategic advisory, IMARC Group’s report gives you everything in one place:

• Complete market sizing with revenue forecasts covering the full projection period
• Quantified growth driver analysis across component, deployment mode, enterprise size, industry vertical, and regional markets
• Sub-segment breakdowns for software, services, on-premises, cloud-based, large enterprises, SMEs, and key verticals with individual share data
• Country-level data for the United States, Canada, China, Japan, India, South Korea, Australia, Indonesia, Germany, France, the United Kingdom, Italy, Spain, Russia, Brazil, and Mexico
• Competitive profiles of 12 leading companies with strategic landscape assessment
• Porter’s Five Forces, value chain analysis, and pricing intelligence
• Latest innovation trends covering AI-driven forecasting, blockchain traceability, embedded analytics, and climate risk intelligence

Recent News and Developments in Supply Chain Analytics Market

• December 2024: Log-hub launched Supply Chain Analytics Pulse, a free bi-weekly publication for supply chain professionals, expanding access to analytics insights and best practices across the logistics community.
• October 2024: Infor expanded its product line with industry-specific supply chain management solutions, including retail demand forecasting and manufacturing predictive analytics, tailoring analytics to sector-level needs.
• October 2024: Everstream Analytics introduced Climate Risk Scores to measure the effects of climate indicators on supply chains, helping companies quantify exposure and plan mitigation.
• July 2024: Accenture announced plans to acquire Camelot Management Consultants, a German SAP and supply chain consultancy, strengthening its supply chain transformation capabilities.
• May 2024: Marsh McLennan unveiled Sentrisk, an AI-driven platform for international supply chain risk, giving businesses sharper insight into global exposure.

Note: If you require specific details, data, or insights that are not currently included in the scope of this report, IMARC Group offers customization to gather and provide the additional information tailored to your requirements.

Key Questions This Report Answers

• What is the current global supply chain analytics market size and what is its projected value?
• Which component, deployment mode, enterprise size, and industry vertical segments hold the largest shares?
• What are the key drivers of supply chain analytics market growth?
• Which region dominates the global market and which is growing fastest?
• How are AI, machine learning, IoT, blockchain, and sustainability requirements reshaping supply chain analytics strategies?
• Who are the top companies in the market and what are their competitive strategies?
• What are the investment and market entry opportunities across cloud analytics, risk intelligence, and industry-specific solutions?

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IMARC Group is a global management consulting firm that helps the world’s most ambitious changemakers to create a lasting impact. The company provides a comprehensive suite of market entry and expansion services. IMARC offerings include thorough market assessment, feasibility studies, company incorporation assistance, factory setup support, regulatory approvals and licensing navigation, branding, marketing and sales strategies, competitive landscape and benchmarking analyses, pricing and cost research, and procurement research.

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