Sustainable Supply Chain Analytics Market Forecasts to 2034 – Global Analysis By Analytics Type (Carbon Emissions Analytics, Supplier Sustainability Analytics, Resource Consumption Analytics, Risk & Compliance Analytics and Other Analytics Types), Supply Chain Stage, Data Source, Decision Support Function, End User, and Geography
According to Stratistics MRC, the Global Sustainable Supply Chain Analytics Market is accounted for $4.8 billion in 2026 and is expected to reach $19.8 billion by 2034 growing at a CAGR of 19.4% during the forecast period. Sustainable supply chain analytics refers to advanced analytical platforms that monitor, evaluate, and optimize the environmental, social, and economic performance of supply chain operations. These solutions integrate artificial intelligence, big data analytics, IoT, lifecycle assessment, ESG metrics, and supplier intelligence to improve resource utilization, reduce emissions, identify sustainability risks, and strengthen supply chain transparency. Sustainable supply chain analytics supports responsible sourcing, regulatory compliance, resilience planning, and corporate sustainability initiatives. Increasing emphasis on ethical procurement and low-carbon supply chains is driving global market growth.
Market Dynamics:
Driver:
Increasing supply chain transparency initiatives
Sustainable supply chain analytics enables organizations to measure environmental, social, and operational performance across their supply networks. Companies are seeking greater visibility into sourcing, manufacturing, transportation, and supplier activities. Growing ESG commitments are encouraging businesses to monitor sustainability performance more closely. Digital analytics platforms help identify risks and improve operational efficiency throughout the supply chain. Businesses are also using these solutions to strengthen supplier accountability and meet customer expectations.
Restraint:
Multi-tier supplier data complexity
Global supply chains involve multiple supplier levels that are difficult to monitor consistently. Many suppliers use different reporting systems and sustainability metrics. Collecting accurate information from lower-tier suppliers often requires significant time and resources. Incomplete data can reduce the effectiveness of sustainability analysis and reporting. Organizations also face challenges in consolidating information from geographically dispersed suppliers. These issues increase implementation complexity for sustainable supply chain analytics platforms.
Opportunity:
AI-powered supplier sustainability insights
Artificial intelligence can process large volumes of supplier data within a short time. AI helps businesses identify sustainability risks, supplier performance gaps, and compliance issues more efficiently. Predictive analytics also supports better supplier selection and long-term procurement planning. Organizations can respond more quickly to operational disruptions through intelligent risk monitoring. Continuous AI improvements are making supply chain analytics more proactive and data-driven. This is encouraging greater investment in AI-enabled sustainability platforms.
Threat:
Supplier data reliability issues
Accurate sustainability reporting depends on reliable information from every supplier. Some suppliers still rely on manual reporting processes that increase the risk of data errors. Inconsistent information can affect ESG reporting accuracy and business decisions. Verifying sustainability data across international supply chains also requires additional resources. Companies are investing in digital verification technologies to improve reporting quality. Despite these efforts, data reliability continues to influence customer confidence.
Covid-19 Impact:
The COVID-19 pandemic highlighted the importance of resilient and transparent supply chains. Organizations experienced disruptions that exposed limited visibility into supplier operations. Many companies accelerated investments in digital analytics to improve supply chain monitoring and risk management. Sustainability also became a greater priority as businesses reassessed sourcing strategies. Cloud-based analytics platforms supported remote collaboration and operational continuity during the pandemic. Companies continue using these digital capabilities to strengthen long-term supply chain resilience.
The carbon emissions analytics segment is expected to be the largest during the forecast period
The carbon emissions analytics segment is expected to account for the largest market share during the forecast period as companies are placing greater emphasis on measuring supply chain emissions. These platforms help organizations calculate emissions generated across production, transportation, warehousing, and procurement activities. Businesses use carbon analytics to support ESG disclosures and climate reporting requirements. The solutions also identify emission hotspots and recommend improvement opportunities. Growing corporate net-zero strategies are increasing investments in carbon measurement technologies. Continuous regulatory focus on greenhouse gas reporting is further supporting segment growth.
The reverse logistics segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the reverse logistics segment is predicted to witness the highest growth rate due to the increasing focus on product recovery and circular supply chains. Organizations are improving the management of returned products, recycling operations, refurbishment, and material recovery. Analytics platforms provide better visibility into reverse logistics activities and resource utilization. Businesses are also aiming to reduce waste while improving operational efficiency. Growing circular economy initiatives are encouraging investment in reverse logistics technologies. These trends are expected to accelerate demand for analytics solutions in this segment.
Region with largest share:
During the forecast period, the Europe region is expected to hold the largest market share owing to comprehensive ESG compliance requirements. Germany is leading adoption through advanced manufacturing and digital supply chain management initiatives. France continues expanding sustainability reporting across industrial and consumer sectors. Sweden is promoting transparent and low-carbon supply chains through strong sustainability policies, while the United Kingdom is increasing investments in supply chain risk management and ESG analytics. High regulatory compliance and mature sustainability practices continue to strengthen the regional market. Europe is expected to maintain its leadership in sustainable supply chain analytics.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding digital supply chain transformation. China is adopting advanced analytics to improve manufacturing efficiency and supplier transparency. India is experiencing rapid growth in ESG reporting and digital procurement across large enterprises. Japan is integrating AI into supply chain optimization, while Singapore is strengthening sustainable logistics and smart trade infrastructure. Growing industrialization and increasing corporate sustainability initiatives are accelerating regional adoption.
Key players in the market
Some of the key players in Sustainable Supply Chain Analytics Market include SAP SE, Oracle Corporation, IBM Corporation, Kinaxis Inc., Coupa Software Inc., E2open Parent Holdings, Inc., project44, Inc., FourKites, Inc., Sphera Solutions, Inc., EcoVadis SAS, Blue Yonder Group, Inc., o9 Solutions, Inc., Infor Inc., Descartes Systems Group Inc. and GainSystems, Inc.
Key Developments:
In March 2026, IBM Corporation updated its Envizi ESG Suite with watsonx-powered generative AI tools specifically engineered for environmental footprint management. The platform automates complex Scope 1 through 3 emissions tracking, automated footprint calculations, and supply chain audit preparation. These capabilities enable enterprise sustainability teams to streamline regulatory disclosures and track net-zero targets.
In January 2026, SAP SE launched significant carbon accounting and footprint management updates within its SAP S/4HANA Cloud ERP ecosystem. The system connects transactional supply chain data directly with life cycle assessment engines to calculate real-time product carbon footprints. This integration equips enterprise clients with granular visibility into material-level emissions across global production workflows.
Analytics Types Covered:
All the customers of this report will be entitled to receive one of the following free customization options:
Market Dynamics:
Driver:
Increasing supply chain transparency initiatives
Sustainable supply chain analytics enables organizations to measure environmental, social, and operational performance across their supply networks. Companies are seeking greater visibility into sourcing, manufacturing, transportation, and supplier activities. Growing ESG commitments are encouraging businesses to monitor sustainability performance more closely. Digital analytics platforms help identify risks and improve operational efficiency throughout the supply chain. Businesses are also using these solutions to strengthen supplier accountability and meet customer expectations.
Restraint:
Multi-tier supplier data complexity
Global supply chains involve multiple supplier levels that are difficult to monitor consistently. Many suppliers use different reporting systems and sustainability metrics. Collecting accurate information from lower-tier suppliers often requires significant time and resources. Incomplete data can reduce the effectiveness of sustainability analysis and reporting. Organizations also face challenges in consolidating information from geographically dispersed suppliers. These issues increase implementation complexity for sustainable supply chain analytics platforms.
Opportunity:
AI-powered supplier sustainability insights
Artificial intelligence can process large volumes of supplier data within a short time. AI helps businesses identify sustainability risks, supplier performance gaps, and compliance issues more efficiently. Predictive analytics also supports better supplier selection and long-term procurement planning. Organizations can respond more quickly to operational disruptions through intelligent risk monitoring. Continuous AI improvements are making supply chain analytics more proactive and data-driven. This is encouraging greater investment in AI-enabled sustainability platforms.
Threat:
Supplier data reliability issues
Accurate sustainability reporting depends on reliable information from every supplier. Some suppliers still rely on manual reporting processes that increase the risk of data errors. Inconsistent information can affect ESG reporting accuracy and business decisions. Verifying sustainability data across international supply chains also requires additional resources. Companies are investing in digital verification technologies to improve reporting quality. Despite these efforts, data reliability continues to influence customer confidence.
Covid-19 Impact:
The COVID-19 pandemic highlighted the importance of resilient and transparent supply chains. Organizations experienced disruptions that exposed limited visibility into supplier operations. Many companies accelerated investments in digital analytics to improve supply chain monitoring and risk management. Sustainability also became a greater priority as businesses reassessed sourcing strategies. Cloud-based analytics platforms supported remote collaboration and operational continuity during the pandemic. Companies continue using these digital capabilities to strengthen long-term supply chain resilience.
The carbon emissions analytics segment is expected to be the largest during the forecast period
The carbon emissions analytics segment is expected to account for the largest market share during the forecast period as companies are placing greater emphasis on measuring supply chain emissions. These platforms help organizations calculate emissions generated across production, transportation, warehousing, and procurement activities. Businesses use carbon analytics to support ESG disclosures and climate reporting requirements. The solutions also identify emission hotspots and recommend improvement opportunities. Growing corporate net-zero strategies are increasing investments in carbon measurement technologies. Continuous regulatory focus on greenhouse gas reporting is further supporting segment growth.
The reverse logistics segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the reverse logistics segment is predicted to witness the highest growth rate due to the increasing focus on product recovery and circular supply chains. Organizations are improving the management of returned products, recycling operations, refurbishment, and material recovery. Analytics platforms provide better visibility into reverse logistics activities and resource utilization. Businesses are also aiming to reduce waste while improving operational efficiency. Growing circular economy initiatives are encouraging investment in reverse logistics technologies. These trends are expected to accelerate demand for analytics solutions in this segment.
Region with largest share:
During the forecast period, the Europe region is expected to hold the largest market share owing to comprehensive ESG compliance requirements. Germany is leading adoption through advanced manufacturing and digital supply chain management initiatives. France continues expanding sustainability reporting across industrial and consumer sectors. Sweden is promoting transparent and low-carbon supply chains through strong sustainability policies, while the United Kingdom is increasing investments in supply chain risk management and ESG analytics. High regulatory compliance and mature sustainability practices continue to strengthen the regional market. Europe is expected to maintain its leadership in sustainable supply chain analytics.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding digital supply chain transformation. China is adopting advanced analytics to improve manufacturing efficiency and supplier transparency. India is experiencing rapid growth in ESG reporting and digital procurement across large enterprises. Japan is integrating AI into supply chain optimization, while Singapore is strengthening sustainable logistics and smart trade infrastructure. Growing industrialization and increasing corporate sustainability initiatives are accelerating regional adoption.
Key players in the market
Some of the key players in Sustainable Supply Chain Analytics Market include SAP SE, Oracle Corporation, IBM Corporation, Kinaxis Inc., Coupa Software Inc., E2open Parent Holdings, Inc., project44, Inc., FourKites, Inc., Sphera Solutions, Inc., EcoVadis SAS, Blue Yonder Group, Inc., o9 Solutions, Inc., Infor Inc., Descartes Systems Group Inc. and GainSystems, Inc.
Key Developments:
In March 2026, IBM Corporation updated its Envizi ESG Suite with watsonx-powered generative AI tools specifically engineered for environmental footprint management. The platform automates complex Scope 1 through 3 emissions tracking, automated footprint calculations, and supply chain audit preparation. These capabilities enable enterprise sustainability teams to streamline regulatory disclosures and track net-zero targets.
In January 2026, SAP SE launched significant carbon accounting and footprint management updates within its SAP S/4HANA Cloud ERP ecosystem. The system connects transactional supply chain data directly with life cycle assessment engines to calculate real-time product carbon footprints. This integration equips enterprise clients with granular visibility into material-level emissions across global production workflows.
Analytics Types Covered:
- Carbon Emissions Analytics
- Supplier Sustainability Analytics
- Resource Consumption Analytics
- Risk & Compliance Analytics
- Other Analytics Types
- Procurement
- Production
- Logistics & Distribution
- Reverse Logistics
- Other Supply Chain Stages
- Enterprise Systems
- IoT Devices
- Supplier Data
- Third-Party Sustainability Data
- Other Data Sources
- Supplier Evaluation
- Risk Prioritization
- Emission Reduction Planning
- Performance Benchmarking
- Other Decision Support Functions
- Manufacturing Enterprises
- Retail & E-commerce Companies
- Logistics Service Providers
- Consumer Goods Companies
- Other End Users
- North America
- United States
- Canada
- Mexico
- Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
- South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
- Rest of the World (RoW)
- Middle East
- Saudi Arabia
- United Arab Emirates
- Qatar
- Israel
- Rest of Middle East
- Africa
- South Africa
- Egypt
- Morocco
- Rest of Africa
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
All the customers of this report will be entitled to receive one of the following free customization options:
- Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
- Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
- Competitive Benchmarking
1 EXECUTIVE SUMMARY
1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations
2 RESEARCH FRAMEWORK
2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
2.4.1 Data Collection (Primary and Secondary)
2.4.2 Data Modeling and Estimation Techniques
2.4.3 Data Validation and Triangulation
2.4.4 Analytical and Forecasting Approach
3 MARKET DYNAMICS AND TREND ANALYSIS
3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook
4 COMPETITIVE AND STRATEGIC ASSESSMENT
4.1 Porter's Five Forces Analysis
4.1.1 Supplier Bargaining Power
4.1.2 Buyer Bargaining Power
4.1.3 Threat of Substitutes
4.1.4 Threat of New Entrants
4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison
5 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY ANALYTICS TYPE
5.1 Carbon Emissions Analytics
5.2 Supplier Sustainability Analytics
5.3 Resource Consumption Analytics
5.4 Risk & Compliance Analytics
5.5 Other Analytics Types
6 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY SUPPLY CHAIN STAGE
6.1 Procurement
6.2 Production
6.3 Logistics & Distribution
6.4 Reverse Logistics
6.5 Other Supply Chain Stages
7 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY DATA SOURCE
7.1 Enterprise Systems
7.2 IoT Devices
7.3 Supplier Data
7.4 Third-Party Sustainability Data
7.5 Other Data Sources
8 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY DECISION SUPPORT FUNCTION
8.1 Supplier Evaluation
8.2 Risk Prioritization
8.3 Emission Reduction Planning
8.4 Performance Benchmarking
8.5 Other Decision Support Functions
9 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY END USER
9.1 Manufacturing Enterprises
9.2 Retail & E-commerce Companies
9.3 Logistics Service Providers
9.4 Consumer Goods Companies
9.5 Other End Users
10 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY GEOGRAPHY
10.1 North America
10.1.1 United States
10.1.2 Canada
10.1.3 Mexico
10.2 Europe
10.2.1 United Kingdom
10.2.2 Germany
10.2.3 France
10.2.4 Italy
10.2.5 Spain
10.2.6 Netherlands
10.2.7 Belgium
10.2.8 Sweden
10.2.9 Switzerland
10.2.10 Poland
10.2.11 Rest of Europe
10.3 Asia Pacific
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 South Korea
10.3.5 Australia
10.3.6 Indonesia
10.3.7 Thailand
10.3.8 Malaysia
10.3.9 Singapore
10.3.10 Vietnam
10.3.11 Rest of Asia Pacific
10.4 South America
10.4.1 Brazil
10.4.2 Argentina
10.4.3 Colombia
10.4.4 Chile
10.4.5 Peru
10.4.6 Rest of South America
10.5 Rest of the World (RoW)
10.5.1 Middle East
10.5.1.1 Saudi Arabia
10.5.1.2 United Arab Emirates
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 Rest of Middle East
10.5.2 Africa
10.5.2.1 South Africa
10.5.2.2 Egypt
10.5.2.3 Morocco
10.5.2.4 Rest of Africa
11 STRATEGIC MARKET INTELLIGENCE
11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment
12 INDUSTRY DEVELOPMENTS AND STRATEGIC INITIATIVES
12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives
13 COMPANY PROFILES
13.1 SAP SE
13.2 Oracle Corporation
13.3 IBM Corporation
13.4 Kinaxis Inc.
13.5 Coupa Software Inc.
13.6 E2open Parent Holdings, Inc.
13.7 project44, Inc.
13.8 FourKites, Inc.
13.9 Sphera Solutions, Inc.
13.10 EcoVadis SAS
13.11 Blue Yonder Group, Inc.
13.12 o9 Solutions, Inc.
13.13 Infor Inc.
13.14 Descartes Systems Group Inc.
13.15 GainSystems, Inc.
1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations
2 RESEARCH FRAMEWORK
2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
2.4.1 Data Collection (Primary and Secondary)
2.4.2 Data Modeling and Estimation Techniques
2.4.3 Data Validation and Triangulation
2.4.4 Analytical and Forecasting Approach
3 MARKET DYNAMICS AND TREND ANALYSIS
3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook
4 COMPETITIVE AND STRATEGIC ASSESSMENT
4.1 Porter's Five Forces Analysis
4.1.1 Supplier Bargaining Power
4.1.2 Buyer Bargaining Power
4.1.3 Threat of Substitutes
4.1.4 Threat of New Entrants
4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison
5 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY ANALYTICS TYPE
5.1 Carbon Emissions Analytics
5.2 Supplier Sustainability Analytics
5.3 Resource Consumption Analytics
5.4 Risk & Compliance Analytics
5.5 Other Analytics Types
6 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY SUPPLY CHAIN STAGE
6.1 Procurement
6.2 Production
6.3 Logistics & Distribution
6.4 Reverse Logistics
6.5 Other Supply Chain Stages
7 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY DATA SOURCE
7.1 Enterprise Systems
7.2 IoT Devices
7.3 Supplier Data
7.4 Third-Party Sustainability Data
7.5 Other Data Sources
8 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY DECISION SUPPORT FUNCTION
8.1 Supplier Evaluation
8.2 Risk Prioritization
8.3 Emission Reduction Planning
8.4 Performance Benchmarking
8.5 Other Decision Support Functions
9 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY END USER
9.1 Manufacturing Enterprises
9.2 Retail & E-commerce Companies
9.3 Logistics Service Providers
9.4 Consumer Goods Companies
9.5 Other End Users
10 GLOBAL SUSTAINABLE SUPPLY CHAIN ANALYTICS MARKET, BY GEOGRAPHY
10.1 North America
10.1.1 United States
10.1.2 Canada
10.1.3 Mexico
10.2 Europe
10.2.1 United Kingdom
10.2.2 Germany
10.2.3 France
10.2.4 Italy
10.2.5 Spain
10.2.6 Netherlands
10.2.7 Belgium
10.2.8 Sweden
10.2.9 Switzerland
10.2.10 Poland
10.2.11 Rest of Europe
10.3 Asia Pacific
10.3.1 China
10.3.2 Japan
10.3.3 India
10.3.4 South Korea
10.3.5 Australia
10.3.6 Indonesia
10.3.7 Thailand
10.3.8 Malaysia
10.3.9 Singapore
10.3.10 Vietnam
10.3.11 Rest of Asia Pacific
10.4 South America
10.4.1 Brazil
10.4.2 Argentina
10.4.3 Colombia
10.4.4 Chile
10.4.5 Peru
10.4.6 Rest of South America
10.5 Rest of the World (RoW)
10.5.1 Middle East
10.5.1.1 Saudi Arabia
10.5.1.2 United Arab Emirates
10.5.1.3 Qatar
10.5.1.4 Israel
10.5.1.5 Rest of Middle East
10.5.2 Africa
10.5.2.1 South Africa
10.5.2.2 Egypt
10.5.2.3 Morocco
10.5.2.4 Rest of Africa
11 STRATEGIC MARKET INTELLIGENCE
11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment
12 INDUSTRY DEVELOPMENTS AND STRATEGIC INITIATIVES
12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives
13 COMPANY PROFILES
13.1 SAP SE
13.2 Oracle Corporation
13.3 IBM Corporation
13.4 Kinaxis Inc.
13.5 Coupa Software Inc.
13.6 E2open Parent Holdings, Inc.
13.7 project44, Inc.
13.8 FourKites, Inc.
13.9 Sphera Solutions, Inc.
13.10 EcoVadis SAS
13.11 Blue Yonder Group, Inc.
13.12 o9 Solutions, Inc.
13.13 Infor Inc.
13.14 Descartes Systems Group Inc.
13.15 GainSystems, Inc.
LIST OF TABLES
Table 1 Global Sustainable Supply Chain Analytics Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Sustainable Supply Chain Analytics Market, By Analytics Type (2023–2034) ($MN)
Table 3 Global Sustainable Supply Chain Analytics Market, By Carbon Emissions Analytics (2023–2034) ($MN)
Table 4 Global Sustainable Supply Chain Analytics Market, By Supplier Sustainability Analytics (2023–2034) ($MN)
Table 5 Global Sustainable Supply Chain Analytics Market, By Resource Consumption Analytics (2023–2034) ($MN)
Table 6 Global Sustainable Supply Chain Analytics Market, By Risk & Compliance Analytics (2023–2034) ($MN)
Table 7 Global Sustainable Supply Chain Analytics Market, By Other Analytics Types (2023–2034) ($MN)
Table 8 Global Sustainable Supply Chain Analytics Market, By Supply Chain Stage (2023–2034) ($MN)
Table 9 Global Sustainable Supply Chain Analytics Market, By Procurement (2023–2034) ($MN)
Table 10 Global Sustainable Supply Chain Analytics Market, By Production (2023–2034) ($MN)
Table 11 Global Sustainable Supply Chain Analytics Market, By Logistics & Distribution (2023–2034) ($MN)
Table 12 Global Sustainable Supply Chain Analytics Market, By Reverse Logistics (2023–2034) ($MN)
Table 13 Global Sustainable Supply Chain Analytics Market, By Other Supply Chain Stages (2023–2034) ($MN)
Table 14 Global Sustainable Supply Chain Analytics Market, By Data Source (2023–2034) ($MN)
Table 15 Global Sustainable Supply Chain Analytics Market, By Enterprise Systems (2023–2034) ($MN)
Table 16 Global Sustainable Supply Chain Analytics Market, By IoT Devices (2023–2034) ($MN)
Table 17 Global Sustainable Supply Chain Analytics Market, By Supplier Data (2023–2034) ($MN)
Table 18 Global Sustainable Supply Chain Analytics Market, By Third-Party Sustainability Data (2023–2034) ($MN)
Table 19 Global Sustainable Supply Chain Analytics Market, By Other Data Sources (2023–2034) ($MN)
Table 20 Global Sustainable Supply Chain Analytics Market, By Decision Support Function (2023–2034) ($MN)
Table 21 Global Sustainable Supply Chain Analytics Market, By Supplier Evaluation (2023–2034) ($MN)
Table 22 Global Sustainable Supply Chain Analytics Market, By Risk Prioritization (2023–2034) ($MN)
Table 23 Global Sustainable Supply Chain Analytics Market, By Emission Reduction Planning (2023–2034) ($MN)
Table 24 Global Sustainable Supply Chain Analytics Market, By Performance Benchmarking (2023–2034) ($MN)
Table 25 Global Sustainable Supply Chain Analytics Market, By Other Decision Support Functions (2023–2034) ($MN)
Table 26 Global Sustainable Supply Chain Analytics Market, By End User (2023–2034) ($MN)
Table 27 Global Sustainable Supply Chain Analytics Market, By Manufacturing Enterprises (2023–2034) ($MN)
Table 28 Global Sustainable Supply Chain Analytics Market, By Retail & E-commerce Companies (2023–2034) ($MN)
Table 29 Global Sustainable Supply Chain Analytics Market, By Logistics Service Providers (2023–2034) ($MN)
Table 30 Global Sustainable Supply Chain Analytics Market, By Consumer Goods Companies (2023–2034) ($MN)
Table 31 Global Sustainable Supply Chain Analytics Market, By Other End Users (2023–2034) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.
Table 1 Global Sustainable Supply Chain Analytics Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Sustainable Supply Chain Analytics Market, By Analytics Type (2023–2034) ($MN)
Table 3 Global Sustainable Supply Chain Analytics Market, By Carbon Emissions Analytics (2023–2034) ($MN)
Table 4 Global Sustainable Supply Chain Analytics Market, By Supplier Sustainability Analytics (2023–2034) ($MN)
Table 5 Global Sustainable Supply Chain Analytics Market, By Resource Consumption Analytics (2023–2034) ($MN)
Table 6 Global Sustainable Supply Chain Analytics Market, By Risk & Compliance Analytics (2023–2034) ($MN)
Table 7 Global Sustainable Supply Chain Analytics Market, By Other Analytics Types (2023–2034) ($MN)
Table 8 Global Sustainable Supply Chain Analytics Market, By Supply Chain Stage (2023–2034) ($MN)
Table 9 Global Sustainable Supply Chain Analytics Market, By Procurement (2023–2034) ($MN)
Table 10 Global Sustainable Supply Chain Analytics Market, By Production (2023–2034) ($MN)
Table 11 Global Sustainable Supply Chain Analytics Market, By Logistics & Distribution (2023–2034) ($MN)
Table 12 Global Sustainable Supply Chain Analytics Market, By Reverse Logistics (2023–2034) ($MN)
Table 13 Global Sustainable Supply Chain Analytics Market, By Other Supply Chain Stages (2023–2034) ($MN)
Table 14 Global Sustainable Supply Chain Analytics Market, By Data Source (2023–2034) ($MN)
Table 15 Global Sustainable Supply Chain Analytics Market, By Enterprise Systems (2023–2034) ($MN)
Table 16 Global Sustainable Supply Chain Analytics Market, By IoT Devices (2023–2034) ($MN)
Table 17 Global Sustainable Supply Chain Analytics Market, By Supplier Data (2023–2034) ($MN)
Table 18 Global Sustainable Supply Chain Analytics Market, By Third-Party Sustainability Data (2023–2034) ($MN)
Table 19 Global Sustainable Supply Chain Analytics Market, By Other Data Sources (2023–2034) ($MN)
Table 20 Global Sustainable Supply Chain Analytics Market, By Decision Support Function (2023–2034) ($MN)
Table 21 Global Sustainable Supply Chain Analytics Market, By Supplier Evaluation (2023–2034) ($MN)
Table 22 Global Sustainable Supply Chain Analytics Market, By Risk Prioritization (2023–2034) ($MN)
Table 23 Global Sustainable Supply Chain Analytics Market, By Emission Reduction Planning (2023–2034) ($MN)
Table 24 Global Sustainable Supply Chain Analytics Market, By Performance Benchmarking (2023–2034) ($MN)
Table 25 Global Sustainable Supply Chain Analytics Market, By Other Decision Support Functions (2023–2034) ($MN)
Table 26 Global Sustainable Supply Chain Analytics Market, By End User (2023–2034) ($MN)
Table 27 Global Sustainable Supply Chain Analytics Market, By Manufacturing Enterprises (2023–2034) ($MN)
Table 28 Global Sustainable Supply Chain Analytics Market, By Retail & E-commerce Companies (2023–2034) ($MN)
Table 29 Global Sustainable Supply Chain Analytics Market, By Logistics Service Providers (2023–2034) ($MN)
Table 30 Global Sustainable Supply Chain Analytics Market, By Consumer Goods Companies (2023–2034) ($MN)
Table 31 Global Sustainable Supply Chain Analytics Market, By Other End Users (2023–2034) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.
