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The global supply chain analytics market value reached approximately USD 7.61 billion in 2023. The market is estimated to grow at a CAGR of 16.90% between 2024 and 2032, reaching a value of around USD 31.00 billion by 2032.
Supply chain analytics encompasses the systematic acquisition, meticulous analysis, and insightful interpretation of data pertaining to an organisation's supply chain operations. It leverages sophisticated analytical techniques and cutting-edge tools to extract valuable insights. The fundamental objective of supply chain analytics revolves around optimising and augmenting the overall performance of the supply chain.
Based on service, the supply chain analytics market segmentations include professional and support and maintenance. On the basis of solution, the market is segmented into planning and procurement, manufacturing analytics, sales and operations analytics, logistics analytics, and visualisation and reporting. The market, based on deployment, is divided into on-premises and cloud. The major regional markets for supply chain analytics are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global supply chain analytics market, covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.
As per the supply chain analytics market analysis, logistics analytics is expected to witness robust development during the forecast period. The growth of the segment is associated with its crucial role in establishing connections between transportation networks, enabling the prediction of market demand, and identification of strategic product supply locations. By harnessing the power of big data in supply chain analytics, organisations can also optimise their supply chain and logistics activities, efficiently meet evolving customer demands, and elevate customer satisfaction and loyalty.
The rapid development of the cloud segment is expected to significantly impact the market. The deployment of cloud-based supply chain analytics is likely to register a high growth rate during the forecast period owing to the widespread adoption of IoT devices. Cloud deployment offers enhanced flexibility and enables extensive customisation of products and services to meet diverse organisational needs, which is expected to bolster the supply chain analytics market demand in the coming years.
The supply chain management sector specifically favours big data analytics solutions due to their advantages in data security and risk analysis. The seamless mobility and user-friendly nature of cloud services have led to the rapid implementation of supply chain analytics solutions on cloud-based platforms.
Salesforce, Inc is an American company that specialises in cloud-based software solutions. Renowned for its customer relationship management (CRM) platform, Salesforce empowers businesses to effectively manage their customer interactions and relationships. The company was established in 1999 and has developed to offer a wide range of cloud-based products and services that cater to various business needs.
SAP SE, headquartered in Walldorf, Germany, is a multinational software corporation that has evolved into one of the largest enterprise software companies globally. Established in 1972, SAP specialises in offering a diverse array of business software solutions aimed at optimising operations and enabling informed decision-making for organisations.
IBM Corporation, based in Armonk, New York, and widely recognised as IBM, stands as a prominent multinational technology company. With a foundation dating back to 1911, the company boasts a rich legacy as one of the world's oldest and most influential technology enterprises. Over the years, IBM has played a significant role in the evolution of computing systems, making noteworthy contributions that have propelled the advancement of computer architecture.
Other players in the supply chain analytics market report include Capgemini SE, Oracle Corporation, SAS Institute Inc., Mu Sigma, Inc., Genpact Limited, Kinaxis Inc., and Sage Clarity Systems, among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Service |
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Breakup by Solution |
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Breakup by Deployment |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Supply Chain Analytics Market Analysis
8.1 Key Industry Highlights
8.2 Global Supply Chain Analytics Historical Market (2018-2023)
8.3 Global Supply Chain Analytics Market Forecast (2024-2032)
8.4 Global Supply Chain Analytics Market by Service
8.4.1 Professional
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Support and Maintenance
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.5 Global Supply Chain Analytics Market by Solution
8.5.1 Planning and Procurement
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 Manufacturing Analytics
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.5.3 Sales and Operations Analytics
8.5.3.1 Historical Trend (2018-2023)
8.5.3.2 Forecast Trend (2024-2032)
8.5.4 Logistics Analytics
8.5.4.1 Historical Trend (2018-2023)
8.5.4.2 Forecast Trend (2024-2032)
8.5.5 Visualisation and Reporting
8.5.5.1 Historical Trend (2018-2023)
8.5.5.2 Forecast Trend (2024-2032)
8.6 Global Supply Chain Analytics Market by Deployment
8.6.1 On-Premises
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Cloud
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.7 Global Supply Chain Analytics Market by Region
8.7.1 North America
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Europe
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Asia Pacific
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Latin America
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Middle East and Africa
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
9 North America Supply Chain Analytics Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Supply Chain Analytics Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Supply Chain Analytics Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Australia
11.6.1 Historical Trend (2018-2023)
11.6.2 Forecast Trend (2024-2032)
11.7 Others
12 Latin America Supply Chain Analytics Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Supply Chain Analytics Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 SAP SE
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Salesforce, Inc.
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 IBM Corporation
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Capgemini SE
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 Oracle Corporation
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 SAS Institute Inc.
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 Mu Sigma, Inc.
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Genpact Limited
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 Kinaxis Inc.
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 Sage Clarity Systems
15.2.10.1 Company Overview
15.2.10.2 Product Portfolio
15.2.10.3 Demographic Reach and Achievements
15.2.10.4 Certifications
15.2.11 Others
16 Key Trends and Developments in the Market
List of Figures and Tables
1. Global Supply Chain Analytics Market: Key Industry Highlights, 2018 and 2032
2. Global Supply Chain Analytics Historical Market: Breakup by Service (USD Billion), 2018-2023
3. Global Supply Chain Analytics Market Forecast: Breakup by Service (USD Billion), 2024-2032
4. Global Supply Chain Analytics Historical Market: Breakup by Solution (USD Billion), 2018-2023
5. Global Supply Chain Analytics Market Forecast: Breakup by Solution (USD Billion), 2024-2032
6. Global Supply Chain Analytics Historical Market: Breakup by Deployment (USD Billion), 2018-2023
7. Global Supply Chain Analytics Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
8. Global Supply Chain Analytics Historical Market: Breakup by Region (USD Billion), 2018-2023
9. Global Supply Chain Analytics Market Forecast: Breakup by Region (USD Billion), 2024-2032
10. North America Supply Chain Analytics Historical Market: Breakup by Country (USD Billion), 2018-2023
11. North America Supply Chain Analytics Market Forecast: Breakup by Country (USD Billion), 2024-2032
12. Europe Supply Chain Analytics Historical Market: Breakup by Country (USD Billion), 2018-2023
13. Europe Supply Chain Analytics Market Forecast: Breakup by Country (USD Billion), 2024-2032
14. Asia Pacific Supply Chain Analytics Historical Market: Breakup by Country (USD Billion), 2018-2023
15. Asia Pacific Supply Chain Analytics Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Latin America Supply Chain Analytics Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Latin America Supply Chain Analytics Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Middle East and Africa Supply Chain Analytics Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Middle East and Africa Supply Chain Analytics Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Global Supply Chain Analytics Market Structure
In 2023, the market reached a value of around USD 7.61 billion.
The market is projected to grow at a CAGR of 16.90% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach a value of around USD 31.00 billion by 2032.
The market is being driven by increasing globalisation and the growing adoption of supply chain analytics in different applications.
The major trends guiding the market are the increasing adoption of cloud analytics solutions and the rising implementation of advanced technologies such as artificial intelligence and machine learning in supply chain analytics solutions.
The major regional markets for supply chain analytics include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The major solutions considered in the market report include planning and procurement, manufacturing analytics, sales and operations analytics, logistics analytics, and visualisation and reporting.
The key players in the market are SAP SE, Salesforce, Inc., IBM Corporation, Capgemini SE, Oracle Corporation, SAS Institute Inc., Mu Sigma, Inc., Genpact Limited, Kinaxis Inc., and Sage Clarity Systems, among others.
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