Supply Chain Analytics Market Size to Surpass US$ 30.6 Billion by 2032 | Grow CAGR by 15.5%

IMARC Group, a leading market research company, has recently releases report titled "Supply Chain Analytics Market Report by Component (Software, Services), Deployment Mode (On-premises, Cloud-based), Enterprise Size (Large Enterprises, Small and Medium Enterprises), Industry Vertical (Automotive, Food and Beverages, Healthcare and Pharmaceuticals, Manufacturing, Retail and Consumer Goods, Transportation and Logistics, and Others), and Region 2024-2032". The global supply chain analytics market size reached US$ 8.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 30.6 Billion by 2032, exhibiting a growth rate (CAGR) of 15.5% during 2024-2032.

Grab a sample PDF of this report: https://www.imarcgroup.com/supply-chain-analytics-market/requestsample

Factors Affecting the Growth of the Supply Chain Analytics Industry:

● Rising Consumer Expectations:

Customers anticipate quicker and more dependable product deliveries, prompting companies to utilize supply chain analytics to streamline their logistics and transportation networks efficiently. Through the analysis of historical and real-time data, businesses can optimize shipment routes, consequently reducing delivery times. Furthermore, personalized experiences are increasingly favored by consumers, extending to their interactions within the supply chain. Supply chain analytics enables companies to gather and assess data pertaining to consumer preferences and behaviors, empowering them to customize product offerings, packaging, and delivery choices, thereby enriching the overall customer experience.

● Technological Advancements:

The increasing adoption of Internet of Things (IoT) devices is transforming supply chain management practices. These IoT sensors gather real-time information on various aspects such as inventory statuses and product conditions during transit. Supply chain analytics utilizes this data to enhance visibility and strategic decision-making. Furthermore, artificial intelligence (AI) and machine learning (ML) algorithms are utilized to analyze extensive datasets to derive valuable insights. These technologies facilitate predictive analytics, enabling companies to forecast demand, pinpoint inefficiencies, and optimize transportation routes. AI-powered chatbots and virtual assistants further elevate customer service and query handling within the supply chain sector.

● 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.

Competitive Landscape:

The competitive landscape of the market has been studied in the report with the detailed profiles of the key players operating in the market.

● 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.)

Explore full report with table of contents: https://www.imarcgroup.com/supply-chain-analytics-market

Supply Chain Analytics Market Report Segmentation:

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 represents the largest segment as it forms the core of supply chain analytics solutions, enabling data analysis, modeling, and decision support.

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.

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.

By Industry Vertical:

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

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.

Regional Insights:

● 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.

Global Supply Chain Analytics Market Trends:

Businesses are increasingly embracing demand forecasting and predictive analytics to enhance inventory optimization, minimize stockouts, and streamline overall supply chain efficiency.

Businesses are also incorporating sustainability and environmental, social, and governance (ESG) considerations into their supply chain analysis to lessen carbon footprints, enhance ethical sourcing, and bolster their brand image.
Note: If you need specific information that is not currently within the scope of the report, we will provide it to you as a part of the customization.

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