Global Supply Chain Analytics Industry: Key Statistics and Insights in 2024-2032
Summary:
- The global supply chain analytics market size reached USD 9.4 Billion in 2024.
- The market is expected to reach USD 32.3 Billion by 2033, exhibiting a growth rate (CAGR) of 16.69% during 2024-2032.
- North America leads the market, accounting for the largest supply chain analytics market share.
- Software accounts for the majority of the market share in the component segment due to its importance in supply chain analytics.
- On-premises hold the largest share in the supply chain analytics industry.
- Large enterprises remain a dominant segment in the market as they have complex supply chain systems.
- Manufacturing represents the leading application segment.
- Rising consumer expectations are a primary driver of the supply chain analytics market.
- Technological advancements and data availability are reshaping the supply chain analytics market.
Industry Trends and Drivers:
- Data availability:
With the availability of data, advanced analytics techniques can be applied. Machine learning (ML) and predictive analytics models can process large datasets to identify patterns, trends, and anomalies. These insights can be used to optimize inventory management, demand forecasting, and logistics. In addition, historical data, often stored in company databases, provides a valuable resource for supply chain analysis. By analyzing past performance, companies can identify areas for improvement, optimize processes, and make more accurate forecasts, which is bolstering the growth of the market.
- Rising consumer expectations:
Consumers are expecting faster and more reliable deliveries of products. Supply chain analytics helps companies optimize their logistics and transportation networks to meet these demands efficiently. By analyzing historical data and real-time information, businesses can route shipments more effectively, reducing delivery times. In addition, people are preferring personalized experiences, and this extends to their supply chain interactions. Supply chain analytics allows companies to collect and analyze data on consumer preferences and behaviors. This data can be used to tailor product offerings, packaging, and delivery options, enhancing the overall user experience.
- Technological advancements:
The proliferation of Internet of Things (IoT) devices is revolutionizing supply chain management. IoT sensors are used to collect real-time data on everything from inventory levels to the condition of goods in transit. Supply chain analytics leverages this data for better visibility and decision-making. Moreover, artificial intelligence (AI) and machine learning (ML) algorithms are employed to analyze vast datasets and extract actionable insights. These technologies enable predictive analytics, helping businesses anticipate demand, identify bottlenecks, and optimize routes. AI-driven chatbots and virtual assistants also enhance consumer service and query resolution in the supply chain.
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Supply Chain Analytics Market Report Segmentation:
Breakup By Deployment Mode:
- On-premises
- Cloud-based
On-premises account for the majority of the market share due to the preference of organizations to have full control over their analytics infrastructure and data security.
Breakup By Enterprise Size:
- Large Enterprises
- Small and Medium Enterprises
Large enterprises exhibit a clear dominance in the market on account of their more extensive and complex supply chains that require robust analytics solutions to manage effectively.
Breakup By Industry Vertical:
Manufacturing holds the biggest market share, driven by the rising need for supply chain optimization in manufacturing to reduce costs, improve production efficiency, and ensure timely product delivery.
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 enjoys the leading position in the supply chain analytics market, which can be attributed to its high adoption of advanced technologies and a well-developed logistics and supply chain infrastructure.
Top Supply Chain Analytics Market Leaders:
The supply chain analytics market research report outlines a detailed analysis of the competitive landscape, offering in-depth profiles of major companies. Some of the key players in the market are:
- 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.
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