
Supply Chain Analytics Market Size, Share & Trends Analysis Report By Solution, By Service, By Deployment, By Enterprise Size, By End Use, By Region, And Segment Forecasts, 2022 - 2030
Description
Supply Chain Analytics Market Size, Share & Trends Analysis Report By Solution, By Service, By Deployment, By Enterprise Size, By End Use, By Region, And Segment Forecasts, 2022 - 2030
Supply Chain Analytics Market Growth & Trends
The global supply chain analytics market size is expected to reach USD 22.46 billion by 2030, registering a CAGR of 17.6% from 2022 to 2030, according to a new study by Grand View Research, Inc. Supply chain analytics 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 grows, so does the demand for cognitive computing and Artificial Intelligence (AI). The growing awareness among businesses about the advantages of Supply Chain Analytics (SCA) in terms of improved visibility across the whole supply chain is fueling the demand for analytics solutions.
The increased availability of cloud-based SCA solutions has triggered their demand among small & medium enterprises 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 scenario and sensitivity, stochastic optimization, and risk mitigation.
SCA solutions enable enterprises to achieve growth, enhance profitability, and increase market share by utilizing the derived insights in making strategic decisions. Improved visibility across the supply chain can help organizations enhance sustainability, reduce inventory cost, and accelerate the time-to-market for products in the long run. Factors such as shortening product life cycles, low visibility in traditional supply chains, ineffective supplier networks, elevated warehousing costs, redundant forecasts, and fluctuating customer demands necessitate supply chain optimization, thereby driving the growth of the market.
The outbreak of the COVID-19 pandemic is expected to have an adverse short-term impact on the market. The pandemic has compelled several manufacturing companies to temporarily halt manufacturing operations to comply with the new government regulations. Revenue streams have been directly affected due to the pandemic, as supply chain and trade disruptions have adversely affected the overall operations. However, for supply chain management technology vendors, the crisis is expected to provide a significant opportunity to increase their revenue shares, by offering advanced technology-based supply chain solutions. Customer enterprises across the globe need to identify how supply chain analytics solutions can better prepare them for demand fluctuations, challenging conditions, and macroeconomic instability post the crisis.
Improved effectiveness of business outcomes and cost-effectiveness of supply chain management resulting from the adoption of supply chain analytics is also expected to encourage the adoption of supply chain analytics solutions in several end-use applications. The demand is expected to remain robust in retail and consumer products, healthcare, and manufacturing industries. Furthermore, the capacity of the market to offer effective and efficient administration of end-to-end business processes is likely to drive its expansion over the forecast period.
Supply Chain Analytics Market Report Highlights
Supply Chain Analytics Market Growth & Trends
The global supply chain analytics market size is expected to reach USD 22.46 billion by 2030, registering a CAGR of 17.6% from 2022 to 2030, according to a new study by Grand View Research, Inc. Supply chain analytics 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 grows, so does the demand for cognitive computing and Artificial Intelligence (AI). The growing awareness among businesses about the advantages of Supply Chain Analytics (SCA) in terms of improved visibility across the whole supply chain is fueling the demand for analytics solutions.
The increased availability of cloud-based SCA solutions has triggered their demand among small & medium enterprises 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 scenario and sensitivity, stochastic optimization, and risk mitigation.
SCA solutions enable enterprises to achieve growth, enhance profitability, and increase market share by utilizing the derived insights in making strategic decisions. Improved visibility across the supply chain can help organizations enhance sustainability, reduce inventory cost, and accelerate the time-to-market for products in the long run. Factors such as shortening product life cycles, low visibility in traditional supply chains, ineffective supplier networks, elevated warehousing costs, redundant forecasts, and fluctuating customer demands necessitate supply chain optimization, thereby driving the growth of the market.
The outbreak of the COVID-19 pandemic is expected to have an adverse short-term impact on the market. The pandemic has compelled several manufacturing companies to temporarily halt manufacturing operations to comply with the new government regulations. Revenue streams have been directly affected due to the pandemic, as supply chain and trade disruptions have adversely affected the overall operations. However, for supply chain management technology vendors, the crisis is expected to provide a significant opportunity to increase their revenue shares, by offering advanced technology-based supply chain solutions. Customer enterprises across the globe need to identify how supply chain analytics solutions can better prepare them for demand fluctuations, challenging conditions, and macroeconomic instability post the crisis.
Improved effectiveness of business outcomes and cost-effectiveness of supply chain management resulting from the adoption of supply chain analytics is also expected to encourage the adoption of supply chain analytics solutions in several end-use applications. The demand is expected to remain robust in retail and consumer products, healthcare, and manufacturing industries. Furthermore, the capacity of the market to offer effective and efficient administration of end-to-end business processes is likely to drive its expansion over the forecast period.
Supply Chain Analytics Market Report Highlights
- In terms of solution, the sales & operations analytics segment is anticipated to register considerable growth over the forecast period, attributed growing use of machine learning in SCA solutions is an emerging trend. It is used to dissect and aggregate data and produce predictive, descriptive, and prescriptive insights. These insights enable supply chain managers to make better decisions
- In terms of service, the professional segment dominated the market in 2021 and is expected to retain its dominance over the forecast period. The growth is projected to be driven by the increasing automation of professional services as a result of the adoption of big data and analytics, as well as the growing desire for improved mobility among service consultants
- In terms of deployment, the cloud segment is anticipated to register the highest CAGR from 2022 to 2030. Cloud-based solutions enable businesses to access data from linked devices at any time, allowing for further customization and the use of analytical tools across numerous business channels
- In terms of enterprise size, the large enterprise segment is anticipated to register promising growth over the forecast period. This growth can be attributed to the need to manage a large amount of data required in local offices as well as overseas
- In terms of end use, the high technology product segment is expected to register a promising growth rate from 2022 to 2030. This growth can be attributed to the increasing demand for high technology products that are complex to move and demand better visibility & tracking
- In terms of region, North America dominated the market in 2021. Due to the sheer huge number of SCA service providers in the region, the regional market is likely to maintain its dominance over the forecast period
Table of Contents
170 Pages
- Chapter 1 Methodology and Scope
- 1.1 Research Methodology
- 1.2 Research Scope and Assumptions
- 1.3 List of Data Sources
- Chapter 2 Executive Summary
- 2.1 Supply Chain Analytics Market - Industry Snapshot & Key Buying Criteria, 2017 – 2030
- 2.2 Global Supply Chain Analytics Market, 2017 - 2030
- 2.2.1 Global supply chain analytics market, by region, 2017 - 2030
- 2.2.2 Global supply chain analytics market, by solution, 2017 - 2030
- 2.2.3 Global supply chain analytics market, by service, 2017 - 2030
- 2.2.4 Global supply chain analytics market, by deployment, 2017 - 2030
- 2.2.5 Global supply chain analytics market, by enterprise size, 2017 - 2030
- 2.2.6 Global supply chain analytics market, by end use, 2017 - 2030
- Chapter 3 Supply Chain Analytics Industry Outlook
- 3.1 Market Segmentation and Scope
- 3.2 Market Size and Growth Prospects
- 3.3 Supply Chain Analytics - Value Chain Analysis
- 3.3.1 Vendor landscape
- 3.4 Supply Chain Analytics Market Dynamics
- 3.4.1 Market driver analysis
- 3.4.2 Market challenge analysis
- 3.5 Penetration and Growth Prospect Mapping
- 3.6 Supply Chain Analytics - Porter’s Five Forces Analysis
- 3.7 Supply Chain Analytics - PESTEL Analysis
- 3.8 Impact of COVID-19 on Supply Chain Analytics Market
- Chapter 4 Supply Chain Analytics Solution Outlook
- 4.1 Supply Chain Analytics Market Share By Solution, 2021
- 4.2 Planning & Procurement
- 4.2.1 Planning & procurement in supply chain analytics market, 2017 - 2030
- 4.3 Manufacturing Analytics
- 4.3.1 Manufacturing analytics in supply chain analytics market, 2017 - 2030
- 4.4 Sales & Operations Analytics
- 4.4.1 Sales & operations analytics in supply chain analytics market, 2017 - 2030
- 4.5 Logistics Analytics
- 4.5.1 Logistics analytics in supply chain analytics market, 2017 - 2030
- 4.6 Visualization & Reporting
- 4.6.1 Visualization & reporting in supply chain analytics market, 2017 - 2030
- Chapter 5 Supply Chain Analytics Service Outlook
- 5.1 Supply Chain Analytics Market Share By Service, 2021
- 5.2 Professional
- 5.2.1 Professional in supply chain analytics market, 2017 - 2030
- 5.3 Support & maintenance
- 5.3.1 Support & maintenance in supply chain analytics market, 2017 - 2030
- Chapter 6 Supply Chain Analytics Deployment Outlook
- 6.1 Supply Chain Analytics Market Share By Deployment, 2021
- 6.2 On-premise
- 6.2.1 On-premise supply chain analytics market, 2017 - 2030
- 6.3 Cloud
- 6.3.1 Cloud supply chain analytics market, 2017 - 2030
- Chapter 7 Supply Chain Analytics Enterprise Size Outlook
- 7.1 Supply Chain Analytics Market Share By Enterprise Size, 2021
- 7.2 Large Enterprise
- 7.2.1 Supply chain analytics in large enterprise, 2017 - 2030
- 7.3 Small & Medium Enterprises
- 7.3.1 Supply chain analytics in small & medium enterprises, 2017 - 2030
- Chapter 8 Supply Chain Analytics End-use Outlook
- 8.1 Supply Chain Analytics Market Share By End Use, 2021
- 8.2 Retail & Consumer Goods
- 8.2.1 Supply chain analytics in retail & consumer goods, 2017 - 2030
- 8.3 Healthcare
- 8.3.1 Supply chain analytics in healthcare, 2017 - 2030
- 8.4 Manufacturing
- 8.4.1 Supply chain analytics in manufacturing, 2017 - 2030
- 8.5 Transportation
- 8.5.1 Supply chain analytics in transportation, 2017 - 2030
- 8.6 Aerospace & defense
- 8.6.1 Supply chain analytics in aerospace & defense, 2017 - 2030
- 8.7 High technology products
- 8.7.1 Supply chain analytics in high technology products, 2017 - 2030
- 8.8 Others
- 8.8.1 Supply chain analytics in others end use, 2017 - 2030
- Chapter 9 Supply Chain Analytics Regional Outlook
- 9.1 Supply Chain Analytics Market Share by Region, 2021
- 9.2 North America
- 9.2.1 North America supply chain analytics market, 2017 - 2030
- 9.2.2 North America supply chain analytics market, by solution, 2017 - 2030
- 9.2.3 North America supply chain analytics market, by service, 2017 - 2030
- 9.2.4 North America supply chain analytics market, by deployment, 2017 - 2030
- 9.2.5 North America supply chain analytics market, by enterprise size, 2017 - 2030
- 9.2.6 North America supply chain analytics market, by end use, 2017 - 2030
- 9.2.7 U.S.
- 9.2.7.1 U.S. supply chain analytics market, 2017 - 2030
- 9.2.7.2 U.S. supply chain analytics market, by solution, 2017 - 2030
- 9.2.7.3 U.S. supply chain analytics market, by service, 2017 - 2030
- 9.2.7.4 U.S. supply chain analytics market, by deployment, 2017 - 2030
- 9.2.7.5 U.S. supply chain analytics market, by enterprise size, 2017 - 2030
- 9.2.7.6 U.S. supply chain analytics market, by end use, 2017 - 2030
- 9.2.8 Canada
- 9.2.8.1 Canada supply chain analytics market, 2017 - 2030
- 9.2.8.2 Canada supply chain analytics market, by solution, 2017 - 2030
- 9.2.8.3 Canada supply chain analytics market, by service, 2017 - 2030
- 9.2.8.4 Canada supply chain analytics market, by deployment, 2017 - 2030
- 9.2.8.5 Canada supply chain analytics market, by enterprise size, 2017 - 2030
- 9.2.8.6 Canada supply chain analytics market, by end use, 2017 - 2030
- 9.3 Europe
- 9.3.1 Europe supply chain analytics market, 2017 - 2030
- 9.3.2 Europe supply chain analytics market, by solution, 2017 - 2030
- 9.3.3 Europe supply chain analytics market, by service, 2017 - 2030
- 9.3.4 Europe supply chain analytics market, by deployment, 2017 - 2030
- 9.3.5 Europe supply chain analytics market, by enterprise size, 2017 - 2030
- 9.3.6 Europe supply chain analytics market, by end use, 2017 - 2030
- 9.3.7 Germany
- 9.3.7.1 Germany supply chain analytics market, 2017 - 2030
- 9.3.7.2 Germany supply chain analytics market, by solution, 2017 - 2030
- 9.3.7.3 Germany supply chain analytics market, by service, 2017 - 2030
- 9.3.7.4 Germany supply chain analytics market, by deployment, 2017 - 2030
- 9.3.7.5 Germany supply chain analytics market, by enterprise size, 2017 - 2030
- 9.3.7.6 Germany supply chain analytics market, by end use, 2017 - 2030
- 9.3.8 U.K.
- 9.3.8.1 U.K. supply chain analytics market, 2017 - 2030
- 9.3.8.2 U.K. supply chain analytics market, by solution, 2017 - 2030
- 9.3.8.3 U.K. supply chain analytics market, by service, 2017 - 2030
- 9.3.8.4 U.K. supply chain analytics market, by deployment, 2017 - 2030
- 9.3.8.5 U.K. supply chain analytics market, by enterprise size, 2017 - 2030
- 9.3.8.6 U.K. supply chain analytics market, by end use, 2017 - 2030
- 9.4 Asia Pacific
- 9.4.1 Asia Pacific supply chain analytics market, 2017 - 2030
- 9.4.2 Asia Pacific supply chain analytics market, by solution, 2017 - 2030
- 9.4.3 Asia Pacific supply chain analytics market, by service, 2017 - 2030
- 9.4.4 Asia Pacific supply chain analytics market, by deployment, 2017 - 2030
- 9.4.5 Asia Pacific supply chain analytics market, by enterprise size, 2017 - 2030
- 9.4.6 Asia Pacific supply chain analytics market, by end use, 2017 - 2030
- 9.4.7 China
- 9.4.7.1 China supply chain analytics market, 2017 - 2030
- 9.4.7.2 China supply chain analytics market, by solution, 2017 - 2030
- 9.4.7.3 China supply chain analytics market, by service, 2017 - 2030
- 9.4.7.4 China supply chain analytics market, by deployment, 2017 - 2030
- 9.4.7.5 China supply chain analytics market, by enterprise size, 2017 - 2030
- 9.4.7.6 China supply chain analytics market, by end use, 2017 - 2030
- 9.4.8 India
- 9.4.8.1 India supply chain analytics market, 2017 - 2030
- 9.4.8.2 India supply chain analytics market, by solution, 2017 - 2030
- 9.4.8.3 India supply chain analytics market, by service, 2017 - 2030
- 9.4.8.4 India supply chain analytics market, by deployment, 2017 - 2030
- 9.4.8.5 India supply chain analytics market, by enterprise size, 2017 - 2030
- 9.4.8.6 India supply chain analytics market, by end use, 2017 - 2030
- 9.4.9 Japan
- 9.4.9.1 Japan supply chain analytics market, 2017 - 2030
- 9.4.9.2 Japan supply chain analytics market, by solution, 2017 - 2030
- 9.4.9.3 Japan supply chain analytics market, by service, 2017 - 2030
- 9.4.9.4 Japan supply chain analytics market, by deployment, 2017 - 2030
- 9.4.9.5 Japan supply chain analytics market, by enterprise size, 2017 - 2030
- 9.4.9.6 Japan supply chain analytics market, by end use, 2017 - 2030
- 9.5 Latin America
- 9.5.1 Latin America supply chain analytics market, 2017 - 2030
- 9.5.2 Latin America supply chain analytics market, by solution, 2017 - 2030
- 9.5.3 Latin America supply chain analytics market, by service, 2017 - 2030
- 9.5.4 Latin America supply chain analytics market, by deployment, 2017 - 2030
- 9.5.5 Latin America supply chain analytics market, by enterprise size, 2017 - 2030
- 9.5.6 Latin America supply chain analytics market, by end use, 2017 - 2030
- 9.5.7 Brazil
- 9.5.7.1 Brazil supply chain analytics market, 2017 - 2030
- 9.5.7.2 Brazil supply chain analytics market, by solution, 2017 - 2030
- 9.5.7.3 Brazil supply chain analytics market, by service, 2017 - 2030
- 9.5.7.4 Brazil supply chain analytics market, by deployment, 2017 - 2030
- 9.5.7.5 Brazil supply chain analytics market, by enterprise size, 2017 - 2030
- 9.5.7.6 Brazil supply chain analytics market, by end use, 2017 - 2030
- 9.6 MEA
- 9.6.1 MEA supply chain analytics market, 2017 - 2030
- 9.6.2 MEA supply chain analytics market, by solution, 2017 - 2030
- 9.6.3 MEA supply chain analytics market, by service, 2017 - 2030
- 9.6.4 MEA supply chain analytics market, by deployment, 2017 - 2030
- 9.6.5 MEA supply chain analytics market, by enterprise size, 2017 - 2030
- 9.6.6 MEA supply chain analytics market, by end use, 2017 - 2030
- Chapter 10 Competitive Analysis
- 10.1 Recent Developments & Impact Analysis, By Key Market Participants
- 10.2 Company/Competition Categorization (Key innovators, Market leaders, Emerging Players)
- 10.3 Vendor Landscape
- 10.3.1 Key Company Analysis, 2020
- Chapter 11 Competitive Landscape
- 11.1 Accenture PLC
- 11.1.1 Company overview
- 11.1.2 Financial performance
- 11.1.3 Product benchmarking
- 11.1.4 Strategic initiatives
- 11.2 Aera Technology
- 11.2.1 Company overview
- 11.2.2 Product benchmarking
- 11.2.3 Strategic initiatives
- 11.3 Birst, Inc.
- 11.3.1 Company overview
- 11.3.2 Product benchmarking
- 11.3.3 Strategic initiatives
- 11.4 Capgemini SA
- 11.4.1 Company overview
- 11.4.2 Financial performance
- 11.4.3 Product benchmarking
- 11.4.4 Strategic initiatives
- 11.5 Genpact
- 11.5.1 Company overview
- 11.5.2 Financial performance
- 11.5.3 Product benchmarking
- 11.5.4 Strategic initiatives
- 11.6 International Business Machines Corporation
- 11.6.1 Company overview
- 11.6.2 Financial performance
- 11.6.3 Product benchmarking
- 11.6.4 Strategic initiatives
- 11.7 JDA Software Group, Inc.
- 11.7.1 Company overview
- 11.7.2 Product benchmarking
- 11.7.3 Strategic initiatives
- 11.8 Kinaxis
- 11.8.1 Company overview
- 11.8.2 Financial performance
- 11.8.3 Product benchmarking
- 11.8.4 Strategic initiatives
- 11.9 Lockheed Martin Corporation
- 11.9.1 Company overview
- 11.9.2 Financial performance
- 11.9.3 Product benchmarking
- 11.9.4 Strategic initiatives
- 11.10 A.P. Moller – Maersk
- 11.10.1 Company overview
- 11.10.2 Financial performance
- 11.10.3 Product benchmarking
- 11.10.4 Strategic initiatives
- 11.11 Manhattan Associates
- 11.11.1 Company overview
- 11.11.2 Financial performance
- 11.11.3 Product benchmarking
- 11.11.4 Strategic initiatives
- 11.12 MicroStrategy Incorporated
- 11.12.1 Company overview
- 11.12.2 Financial performance
- 11.12.3 Product benchmarking
- 11.12.4 Strategic initiatives
- 11.13 Mu Sigma
- 11.13.1 Company overview
- 11.13.2 Product benchmarking
- 11.13.3 Strategic initiatives
- 11.14 Northrop Grumman Corporation
- 11.14.1 Company overview
- 11.14.2 Financial performance
- 11.14.3 Product benchmarking
- 11.14.4 Strategic initiatives
- 11.15 Oracle
- 11.15.1 Company overview
- 11.15.2 Product benchmarking
- 11.15.3 Strategic initiatives
- 11.16 QlikTech International AB
- 11.16.1 Company overview
- 11.16.2 Product benchmarking
- 11.16.3 Strategic initiatives
- 11.17 Sage Clarity Systems
- 11.17.1 Company overview
- 11.17.2 Product benchmarking
- 11.17.3 Strategic initiatives
- 11.18 SAP SE
- 11.18.1 Company overview
- 11.18.2 Financial performance
- 11.18.3 Product benchmarking
- 11.18.4 Strategic initiatives
- 11.19 SAS Institute Inc.
- 11.19.1 Company overview
- 11.19.2 Financial performance
- 11.19.3 Product benchmarking
- 11.19.4 Strategic initiatives
- 11.20 Tableau Software
- 11.20.1 Company overview
- 11.20.2 Financial performance
- 11.20.3 Product benchmarking
- 11.20.4 Strategic initiatives
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