Supply Chain Analytics Market Emerging Technologies, Competitive Edge And Revolution

The global supply chain analytics market size is projected to reach USD 22.46 billion by 2030, according to a new study by Grand View Research, Inc.The market is anticipated to register a CAGR of 17.8% from 2023 to 2030. Supply chain analytics (SCA) is becoming popular as the demand for managing vast volumes of company data and its insights for strategic applications grows. As the demand for automation technologies and investment from technology developers increases, so does the demand for cognitive computing and AI. The growing awareness among businesses of the advantages of SCA in terms of improved visibility across the whole supply chain is fueling demand for analytics solutions.

The increased availability of cloud-based SCA solutions has triggered their demand among small & medium enterprises (SMEs) owing to benefits such as easy deployment, shorter implementation window, effective use of IT resources, and flexibility & mobility offered by these solutions. Another notable trend in the market is the increased demand for risk analytics solutions across all industries. Risk analytics solutions address multiple issues associated with the supply chain by analyzing scenarios and sensitivity, stochastic optimization, and risk mitigation.

The supply chain industry is evolving rapidly. Even in challenging circumstances, modern technology and tools such as blockchain and Artificial Intelligence (AI) generative tools can assist business owners to improve their supply chain cycle and compete better in the market. To rapidly discover problems and identify errors, several organizations use blockchain technology to consolidate all operations and data onto a single platform. For instance, in June 2023, International Business Machines Corporation partnered with Adobe, a computer software company, to provide brands with an improved content supply chain using the capabilities of next-generation AI. Adobe clients will benefit from a streamlined generative AI landscape due to the integration of Adobe's generative AI models with the comprehensive technical experience of IBM consulting services, including technology innovation, design, and strategy.

Improved effectiveness of business outcomes and cost-effectiveness of supply chain management resulting from the adoption of SCA is also expected to encourage the adoption of SCA solutions in several end-use applications. Demand is expected to remain robust in retail, consumer, healthcare, and manufacturing industries. Furthermore, the market's capacity to offer effective and efficient administration of end-to-end business processes is anticipated to drive its expansion over the forecast period. 

Order a free sample PDF of the Supply Chain Analytics Market Intelligence Study, published by Grand View Research.