North America Supply Chain Analytics Market size crossed USD 1.5 billion in 2020 and is estimated to witness 10% CAGR from 2021 to 2027.
The market growth is owing to the increasing penetration of big data in the regional retail sector. With implicit derivation of consumer data from consumer & retail technologies, businesses are shifting their focus from the acquisition of data to engineering methodologies to extract insights from the data. These insights can provide a competitive advantage and differentiation formulae for retailers to provide consumers with a better shopping experience.
North America Market, By Application
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Healthcare is estimated to be among the most attractive segments in the North America supply chain analytics market. The supply chain analytics solutions with advanced predictive analytics capabilities can assist healthcare companies in demand forecasting. The solution analyzes both real-time & historical data from electronic health records and connected devices to provide valuable insights to procure healthcare resources. It further simplifies the supplier information with enhanced data mapping and validation.
North America Market, By Component
In the component segment, supply chain analytics solutions are anticipated to dominate the market with a share of over 70% by 2027. The demand planning solution is projected to grow significantly, attributed to the rising demand from enterprises to manage demand uncertainties. This solution leverages its advanced capabilities to analyze the factors influencing the demand uncertainties. This also helps in improving the demand planning and forecasting processes.
North America Market, By Deployment
The cloud deployment model segment in the North America supply chain analytics market is predicted to observe around 20% growth rate during the forecast timespan, led by the enterprise-wide transition toward cloud infrastructure and the increasing awareness of scalability & flexibility offered by cloud solutions. By opting for cloud solutions, businesses can pay a monthly SaaS subscription fee and avoid large capital expenditure on purchasing & maintaining dedicated hardware appliances and software licenses.
North America Market, By Organization Size
The large enterprises segment accounted for substantial North America supply chain analytics market share in 2020, as large enterprises invest significant resources to strengthen their supply chain infrastructure and to ensure efficiency throughout workflows. Supply chain analytics enables large businesses with significant volumes of inventory to efficiently track their products at every stage using multiple advanced technologies.
North America Market, By Country
The U.S. supply chain analytics market is set to gather considerable gains of more than 10% through 2027. The U.S. retail sales have been steadily growing and the e-commerce penetration reached approximately 21.3% in 2020. As reported by the Census Bureau of the Department of Commerce, the e-commerce retail sales in the U.S. increased by over USD 90 billion in Q2 2020 as compared to Q2 2019. With huge investments in the online shopping and retail sector, companies in the U.S. are expected to adopt supply chain analytics solutions.
Competitive Industry Landscape
Some of the leading companies operating in the market include Axway Inc., Blue Yonder Group, Inc., Capgemini SE, IBM Corporation, Infor, Manhattan Associates, Inc., Oracle Corporation, QlikTech International AB, SAP SE, SAS Institute Inc., Tableau Software, LLC, and TIBCO Software Inc.
Companies are continuously adding innovative features to their supply chain analytics offerings along with expanding product functionalities. For instance, in September 2020, Oracle Corporation launched Oracle Fusion Cloud Supply Chain & Manufacturing solution in the market. The company added logistics digital assistance, AI-powered planning advisor, product procurement, and revenue management capabilities. This launch helped the company to analyze the demand from enterprises and resolve complexities due to the COVID-19 crisis.