Agricultural Supply Chain Management Market Size, Share, Trends and Growth Analysis: By Type: Software Solutions, Hardware Devices, Services By Deployment Type: By Application: Farm Production Planning and Management, Inventory and Warehouse Management, Distribution and Logistics Management, Supplier Relationship Management, Data Analytics and Forecasting, Financial Management, Crop Monitoring and Harvest Management, Quality Control and Traceability By Farm Size: By Regions, and Industry Forecast, Global Report 2025-2033
Report ID: RTDS51
Historical Range: 2020-2024
Forecast Period: 2025-2031
No. of Pages: 275+
Industry: Agricultural and Forestry
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“The Agricultural Supply Chain Management industry is projected to grow substantially, increasing from $1 billion in 2025 to over $2 billion by 2032, with an estimated CAGR of 11-12%.”
MARKET SIZE AND SHARE
The Agricultural Supply Chain Management Market is projected to grow significantly from 2025 to 2032, driven by increasing demand for efficient food distribution and technological advancements. The market size is expected to expand due to the adoption of blockchain, IoT, and AI, enhancing transparency and traceability. Rising global population and food security concerns will further boost growth. Key players are focusing on strategic partnerships and innovations to capture larger market shares, ensuring sustainable and resilient supply chains.
By 2032, the market share will be dominated by North America and Europe, owing to advanced infrastructure and high-tech adoption. Asia-Pacific will witness rapid growth due to increasing agricultural activities and government initiatives. The integration of automation and data analytics will optimize logistics and reduce waste, fueling market expansion. Small and medium enterprises are also adopting these solutions, contributing to the overall market growth, making the agricultural supply chain more efficient and scalable.
MARKET OVERVIEW AND STRATEGY
Agricultural Supply Chain Management (ASCM) refers to the systematic coordination of activities involved in producing, processing, distributing, and delivering agricultural products from farms to consumers. It encompasses planning, resource allocation, and technology integration—such as IoT, blockchain, and data analytics—to optimize efficiency, minimize waste, and ensure sustainability. ASCM addresses challenges like logistics, quality control, and market volatility while promoting transparency and traceability. By streamlining operations across farmers, processors, distributors, and retailers, it enhances productivity, reduces costs, and supports ethical and environmentally responsible practices in food systems.
Market research reports on ASCM benefit diverse stakeholders across the agricultural sector. Farmers and agribusinesses gain insights into demand trends, pricing, and competitive strategies, aiding informed decisions on crop selection and resource use. Policymakers utilize data to design supportive regulations and infrastructure investments. Investors and corporations leverage reports to identify growth opportunities, assess risks, and enter new markets. Additionally, researchers, consultants, and NGOs access critical information on sustainability practices and consumer preferences. These reports empower stakeholders to enhance operational efficiency, comply with regulations, and align with global sustainability goals, fostering resilient supply chains.
MARKET TRENDS AND GROWTH
The Agricultural Supply Chain Management Market shows varied regional trends, with North America and Europe leading due to advanced technology adoption and robust infrastructure. Asia-Pacific is experiencing rapid growth, driven by government initiatives and increasing farm mechanization. Key drivers include rising food demand, technological advancements like IoT and blockchain, and the need for transparency. However, high implementation costs and lack of awareness in developing regions restrain growth. Opportunities lie in precision agriculture and sustainable practices, while supply chain disruptions remain a challenge.
Future growth will be fueled by AI-driven analytics, automation, and climate-resilient supply chains. Latin America and Africa are emerging markets, supported by agri-tech investments. Drivers include population growth and food security concerns, while restraints involve fragmented supply chains and limited digital literacy. Opportunities arise from e-agriculture platforms and cold chain expansion, but challenges like geopolitical risks and resource scarcity persist. Strategic collaborations and policy support will be crucial in overcoming barriers and ensuring long-term market expansion.
AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SEGMENTATION ANALYSIS
BY TYPE:
Software solutions dominate the market, offering tools for inventory management, traceability, and analytics. Hardware devices, such as IoT sensors and RFID tags, enable real-time monitoring and data collection. Services, including consulting and maintenance, support implementation and optimization, ensuring seamless integration of technology across the supply chain.
The demand for software solutions is driven by automation and data-driven decision-making, while hardware devices gain traction due to precision farming needs. Services play a crucial role in deployment and training, particularly in developing regions. Together, these segments enhance efficiency, reduce waste, and improve transparency, catering to the evolving demands of modern agricultural supply chains.
BY DEPLOYMENT TYPE:
On-premise systems are installed locally, offering full control and data security, ideal for large agribusinesses with robust IT infrastructure. Cloud-based platforms provide scalability, remote access, and cost efficiency, benefiting SMEs and stakeholders needing real-time collaboration. Hybrid models combine both, enabling flexibility for businesses balancing data-sensitive operations with cloud-driven analytics and scalability, catering to diverse operational needs across the supply chain.
Deployment choices depend on organizational priorities. On-premise suits enterprises prioritizing data sovereignty, while cloud-based appeals to those seeking agility and reduced upfront costs. Hybrid solutions attract businesses transitioning to digital tools or managing mixed workflows. Farmers, processors, logistics providers, and retailers benefit from tailored deployments aligning with their IT capabilities, budget, and scalability goals. Market trends show rising cloud adoption due to IoT integration and demand for real-time traceability, driving innovation in hybrid models for a resilient, tech-driven agricultural ecosystem.
BY APPLICATION:
Farm production planning optimizes resource use, while inventory and warehouse management reduce waste. Distribution and logistics ensure efficient product movement, and supplier relationship management enhances collaboration. Data analytics and forecasting improve decision-making, and financial management streamlines costs for better profitability.
Crop monitoring and harvest management boost yield through real-time tracking, while quality control and traceability ensure compliance and food safety. These applications enhance transparency, efficiency, and sustainability across the supply chain. Increasing adoption of IoT, AI, and blockchain further drives demand, helping stakeholders mitigate risks, reduce losses, and meet consumer demands for traceable and high-quality agricultural products.
BY FARM SIZE:
Small-scale farms, often resource-constrained, prioritize cost-effective solutions like mobile-based tools for crop tracking, cooperative platforms for collective bargaining, and basic inventory management. Medium-scale farms focus on integrating moderate-tech systems for supplier coordination, demand forecasting, and localized logistics. Large-scale farms leverage advanced ASCM technologies such as IoT sensors, automation, and enterprise-level software for precision agriculture, global distribution networks, and compliance with international quality standards.
Adoption varies with farm size due to differing needs and capacities. Small farms benefit from affordable, user-friendly tools enhancing market access and reducing waste. Medium farms seek scalable solutions to optimize mid-sized operations and regional partnerships. Large farms invest in data-driven platforms to manage complex supply chains, ensure traceability, and meet sustainability targets. Technology providers tailor ASCM offerings to these segments, with trends showing rising digital adoption among small farms through government initiatives and growing automation in large agribusinesses to boost efficiency and competitiveness.
RECENT DEVELOPMENTS
- In Jan 2024: IBM and Bayer partnered to integrate AI-driven blockchain solutions for real-time crop traceability and supply chain transparency in agribusiness.
- In Mar 2024: Deere & Company launched a cloud-based farm management platform with predictive analytics to optimize logistics and inventory control.
- In Jun 2024: AGCO acquired a IoT-based precision farming startup to enhance its supply chain automation and data-driven decision-making capabilities.
- In Nov 2024: Trimble introduced a new GPS-enabled warehouse management system for agricultural suppliers to streamline inventory tracking and reduce waste.
- In Feb 2025: SAP released an upgraded Agri-ERP module with AI-powered demand forecasting and supplier collaboration tools for global agri-food chains.
AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET KEY PLAYERS ANALYSIS
- SAP SE
- Oracle Corporation
- Manhattan Associates
- Blue Yonder
- Infor
- IBM Corporation
- Epicor Software Corporation
- Descartes Systems Group
- Deere & Company
- Bayer AG
- AGCO Corporation
- Granular Inc.
- Source Intelligence
- Proagrica
- AGRIVI
Agricultural Supply Chain Management Market Segmentation
By Type:
- Software Solutions
- Hardware Devices
- Services
By Deployment Type:
- On-Premise
- Cloud-Based
- Hybrid
By Application:
- Farm Production Planning and Management
- Inventory and Warehouse Management
- Distribution and Logistics Management
- Supplier Relationship Management
- Data Analytics and Forecasting
- Financial Management
- Crop Monitoring and Harvest Management
- Quality Control and Traceability
By Farm Size:
- Small-scale Farms
- Medium-scale Farms
- Large-scale Farms
By Geography:
- North America (USA, Canada, Mexico)
- Europe (UK, Germany, France, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, Australia, South Korea, India, Rest of Asia-Pacific)
- South America (Brazil, Argentina, Rest of South America)
- Middle East and Africa (GCC Countries, South Africa, Rest of MEA)
TABLE OF CONTENT
1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET–REPORT OVERVIEW 21
1.1. SCOPE OF THE REPORT 23
1.2. MARKET SEGMENT ANALYSIS 24
1.3. REGULATORY SCENARIO BY REGION/COUNTRY 25
1.4. MARKET INVESTMENT SCENARIO STRATEGIC 27
1.5. MARKET ANALYSIS BY TYPE (USD MILLION) 29
1.5.1 GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2024-2031) 29
1.5.2 SOFTWARE SOLUTIONS 29
1.5.3 HARDWARE DEVICES 30
1.5.4 SERVICES 30
1.6. MARKET ANALYSIS BY DEPLOYMENT TYPE (USD MILLION) 31
1.6.1 GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2024-2031) 31
1.6.2 ON-PREMISE 31
1.6.3 CLOUD-BASED 32
1.6.4 HYBRID 32
1.7. MARKET ANALYSIS BY APPLICATION (USD MILLION) 33
1.7.1 GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2024-2031) 33
1.7.2 FARM PRODUCTION PLANNING AND MANAGEMENT 34
1.7.3 INVENTORY AND WAREHOUSE MANAGEMENT 34
1.7.4 DISTRIBUTION AND LOGISTICS MANAGEMENT 34
1.7.5 SUPPLIER RELATIONSHIP MANAGEMENT 35
1.7.6 DATA ANALYTICS AND FORECASTING 35
1.7.7 FINANCIAL MANAGEMENT 35
1.7.8 CROP MONITORING AND HARVEST MANAGEMENT 36
1.7.9 QUALITY CONTROL AND TRACEABILITY 36
1.8. MARKET ANALYSIS BY FARM SIZE (USD MILLION) 37
1.8.1 GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2024-2031) 37
1.8.2 SMALL-SCALE FARMS 37
1.8.3 MEDIUM-SCALE FARMS 37
1.8.4 LARGE-SCALE FARMS 38
2. DRIVER RESTRAINT CHALLENGE AND OPPORTUNITIES OF AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET 39
2.1. DRIVER, RESTRAINT, CHALLENGE AND OPPORTUNITIES ANALYSIS 39
2.1.1 MARKET DRIVER ANALYSIS 40
2.1.1.1 Increasing Demand for Food Security and Sustainability 40
2.1.1.2 Growing Adoption of Digital Technologies 40
2.1.1.3 Rising Consumer Demand for Transparency and Traceability 40
2.1.1.4 Government Initiatives and Support 41
2.1.2 MARKET RESTRAINT ANALYSIS 42
2.1.2.1 High Implementation and Maintenance Costs 42
2.1.2.2 Limited Infrastructure in Developing Regions 42
2.1.2.3 Fragmented and Unorganized Agricultural Markets 42
2.1.3 MARKET OPPORTUNITY ANALYSIS 43
2.1.3.1 Expansion of Digital Platforms and E-Commerce in Agriculture 43
2.1.3.2 Adoption of Blockchain for Traceability and Transparency 43
2.1.3.3 Rising Demand for Precision Agriculture Solutions 43
2.1.3.4 Growth of Sustainable and Circular Supply Chains 44
2.1.4 MARKET CHALLENGE ANALYSIS 45
2.1.4.1 Lack of Standardization Across Supply Chains 45
2.1.4.2 Digital and Technological Divide 45
2.1.4.3 Resistance to Change and Adoption Barriers 45
3. GLOBAL GROWTH TRENDS 46
3.1. INDUSTRY TRENDS 46
3.1.1 SWOT ANALYSIS 46
3.1.1.1 Strengths 47
3.1.1.2 Weaknesses 47
3.1.1.3 Opportunities 47
3.1.1.4 Threats 48
3.1.2 PESTEL ANALYSIS 49
3.1.2.1 Political Landscape 50
3.1.2.2 Economic Landscape 50
3.1.2.3 Social Landscape 50
3.1.2.4 Technological Landscape 51
3.1.2.5 Environmental Landscape 51
3.1.2.6 Legal Landscape 51
3.1.3 PORTER’S FIVE FORCES ANALYSIS 52
3.1.3.1 Bargaining Power of Suppliers 53
3.1.3.2 Bargaining Power of Buyers 53
3.1.3.3 Threat of Substitute 53
3.1.3.4 Threat of New Entrant 54
3.1.3.5 Competitive Rivalry 54
3.2. VALUE CHAIN ANALYSIS 55
3.3. MARKET TRENDS BY REGION 58
4. POST COVID ANALYSIS 60
4.1. COVID-19 IMPACT ANALYSIS 60
4.2. COVID V ANALYSIS 61
4.3. COVID U ANALYSIS 62
4.4. COVID L ANALYSIS 62
4.5. COVID W ANALYSIS 62
5. COMPETITIVE LANDSCAPE 63
5.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET, SALES AREA, PRODUCT TYPE 63
5.2. MERGERS & ACQUISITIONS, PARTNERSHIPS, PRODUCT LAUNCH, AND COLLABORATION IN GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET 64
5.3. COMPANY LIST IN THE GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET 66
5.4. STRATEGY FRAMEWORK 67
5.5. TOP COMPANIES MARKET SHARE (%), 2023 68
6. EXCEUTIVE SUMMARY 69
7. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET FORECAST, 2020-2031, (USD MILLION) 72
7.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE, (USD MILLION) 72
8. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY TYPE (2020-2031), (USD MILLION) 74
8.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY TYPE, (2020-2025) 74
8.2. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY TYPE (2026-2031) 78
9. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY DEPLOYMENT TYPE (2020-2031), (USD MILLION) 82
9.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY DEPLOYMENT TYPE (2020-2025) 82
9.2. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY DEPLOYMENT TYPE (2026-2031) 86
10. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY APPLICATION (2020-2031), (USD MILLION) 90
10.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY APPLICATION, (2020-2025) 90
10.2. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY APPLICATION (2026-2031) 94
11. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY FARM SIZE (2020-2031), (USD MILLION) 98
11.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY FARM SIZE (2020-2025) 98
11.2. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY FARM SIZE (2026-2031) 102
12. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY REGION (2020-2031), (USD MILLION) 106
12.1. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY REGION (2020-2025) 106
12.2. GLOBAL AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE AND MARKET SHARE BY REGION (2026-2031) 110
13. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE (2020-2031), (USD MILLION) 114
13.1. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2020-2025) 114
13.2. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2026-2031) 116
13.3. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE, (2020-2025) 118
13.4. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2026-2031) 120
13.5. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2020-2025) 122
13.6. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2026-2031) 124
13.7. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION, (2020-2025) 126
13.8. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2026-2031) 128
13.9. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2020-2025) 130
13.10. NORTH AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2026-2031) 132
14. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE (2020-2031), (USD MILLION) 134
14.1. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2020-2025) 134
14.2. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2026-2031) 136
14.3. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE, (2020-2025) 138
14.4. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2026-2031) 140
14.5. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2020-2025) 142
14.6. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2026-2031) 144
14.7. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION, (2020-2025) 146
14.8. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2026-2031) 148
14.9. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2020-2025) 150
14.10. EUROPE AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2026-2031) 152
15. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE (2020-2031), (USD MILLION) 154
15.1. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2020-2025) 154
15.2. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2026-2031) 156
15.3. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE, (2020-2025) 158
15.4. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2026-2031) 160
15.5. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2020-2025) 162
15.6. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2026-2031) 164
15.7. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION, (2020-2025) 166
15.8. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2026-2031) 168
15.9. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2020-2025) 170
15.10. ASIA PACIFIC AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2026-2031) 172
16. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE (2020-2031), (USD MILLION) 174
16.1. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2020-2025) 174
16.2. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2026-2031) 176
16.3. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE, (2020-2025) 178
16.4. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2026-2031) 180
16.5. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2020-2025) 182
16.6. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2026-2031) 184
16.7. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION, (2020-2025) 186
16.8. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2026-2031) 188
16.9. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2020-2025) 190
16.10. LATIN AMERICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2026-2031) 192
17. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE (2020-2031), (USD MILLION) 194
17.1. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2020-2025) 194
17.2. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY COUNTRY, (USD MILLION) (2026-2031) 196
17.3. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE, (2020-2025) 198
17.4. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY TYPE (2026-2031) 200
17.5. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2020-2025) 202
17.6. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY DEPLOYMENT TYPE (2026-2031) 204
17.7. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION, (2020-2025) 206
17.8. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY APPLICATION (2026-2031) 208
17.9. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2020-2025) 210
17.10. MIDDLE EAST & AFRICA AGRICULTURAL SUPPLY CHAIN MANAGEMENT MARKET SIZE BY FARM SIZE (2026-2031) 212
18. COMPANY PROFILES 214
18.1. SAP SE 214
18.1.1 COMPANY DETAILS 214
18.1.2 FINANCIALS (USD MILLIONS) 215
18.1.3 PRODUCT SUMMARY 216
18.1.4 RECENT DEVELOPMENTS 217
18.1.5 SWOT ANALYSIS 218
18.2. ORACLE CORPORATION 219
18.2.1 COMPANY DETAILS 219
18.2.2 FINANCIALS (USD MILLIONS) 220
18.2.3 PRODUCT SUMMARY 221
18.2.4 RECENT DEVELOPMENTS 222
18.2.5 SWOT ANALYSIS 223
18.3. MANHATTAN ASSOCIATES 224
18.3.1 COMPANY DETAILS 224
18.3.2 FINANCIALS (USD MILLIONS) 225
18.3.3 PRODUCT SUMMARY 225
18.3.4 RECENT DEVELOPMENTS 226
18.3.5 SWOT ANALYSIS 226
18.4. BLUE YONDER 227
18.4.1 COMPANY DETAILS 227
18.4.2 FINANCIALS (USD MILLIONS) 228
18.4.3 PRODUCT SUMMARY 228
18.4.4 RECENT DEVELOPMENTS 228
18.4.5 SWOT ANALYSIS 229
18.5. INFOR 230
18.5.1 COMPANY DETAILS 230
18.5.2 FINANCIALS (USD MILLIONS) 231
18.5.3 PRODUCT SUMMARY 231
18.5.4 RECENT DEVELOPMENTS 231
18.5.5 SWOT ANALYSIS 232
18.6. IBM CORPORATION 233
18.6.1 COMPANY DETAILS 233
18.6.2 FINANCIALS (USD MILLIONS) 234
18.6.3 PRODUCT SUMMARY 234
18.6.4 RECENT DEVELOPMENTS 235
18.6.5 SWOT ANALYSIS 235
18.7. EPICOR SOFTWARE CORPORATION 236
18.7.1 COMPANY DETAILS 236
18.7.2 FINANCIALS (USD MILLIONS) 237
18.7.3 PRODUCT SUMMARY 237
18.7.4 RECENT DEVELOPMENTS 238
18.7.5 SWOT ANALYSIS 239
18.8. DESCARTES SYSTEMS GROUP 240
18.8.1 COMPANY DETAILS 240
18.8.2 FINANCIALS (USD MILLIONS) 241
18.8.3 PRODUCT SUMMARY 242
18.8.4 RECENT DEVELOPMENTS 242
18.8.5 SWOT ANALYSIS 243
18.9. DEERE & COMPANY 244
18.9.1 COMPANY DETAILS 244
18.9.2 FINANCIALS (USD MILLIONS) 245
18.9.3 PRODUCT SUMMARY 246
18.9.4 RECENT DEVELOPMENTS 246
18.9.5 SWOT ANALYSIS 247
18.10. BAYER AG 248
18.10.1 COMPANY DETAILS 248
18.10.2 FINANCIALS (USD MILLIONS) 249
18.10.3 PRODUCT SUMMARY 249
18.10.4 RECENT DEVELOPMENTS 249
18.10.5 SWOT ANALYSIS 250
18.11. AGCO CORPORATION 251
18.11.1 COMPANY DETAILS 251
18.11.2 FINANCIALS (USD MILLIONS) 252
18.11.3 PRODUCT SUMMARY 252
18.11.4 RECENT DEVELOPMENTS 252
18.11.5 SWOT ANALYSIS 253
18.12. GRANULAR INC. 254
18.12.1 COMPANY DETAILS 254
18.12.2 FINANCIALS (USD MILLIONS) 255
18.12.3 PRODUCT SUMMARY 255
18.12.4 SWOT ANALYSIS 256
18.13. SOURCE INTELLIGENCE 257
18.13.1 COMPANY DETAILS 257
18.13.2 FINANCIALS (USD MILLIONS) 258
18.13.3 PRODUCT SUMMARY 258
18.13.4 RECENT DEVELOPMENTS 258
18.13.5 SWOT ANALYSIS 259
18.14. PROAGRICA 260
18.14.1 COMPANY DETAILS 260
18.14.2 FINANCIALS (USD MILLIONS) 260
18.14.3 PRODUCT SUMMARY 261
18.14.4 SWOT ANALYSIS 262
18.15. AGRIVI 263
18.15.1 COMPANY DETAILS 263
18.15.2 FINANCIALS (USD MILLIONS) 263
18.15.3 PRODUCT SUMMARY 264
18.15.4 RECENT DEVELOPMENTS 265
18.15.5 SWOT ANALYSIS 266
19. CONCLUSION 267
20. REFERENCE LINK 268
21. APPENDIX 269
21.1. METHODOLOGY 269
21.2. RESEARCH DATA SOURCE 270
21.2.1 SECONDARY DATA 270
21.2.2 KEY DATA FROM SECONDARY 271
21.2.3 PRIMARY DATA 272
21.2.4 KEY DATA FROM PRIMARY 272
21.2.5 INDUSTRY INSIGHT FROM PROFESSIONAL LEADERS 273
21.2.6 MARKET ESTIMATION 273
21.2.7 MARKET ESTIMATION: TOP-DOWN AND BOTTOM-UP APPROACH 274
21.2.8 LEGAL DISCLAIMER 274
22. REAL TIME DATA STATS - MARKET RESEARCH & CONSULTING 275
Agricultural Supply Chain Management Market Growth Factors
Drivers:
- Rising global food demand pushes farmers to adopt efficient supply chain technologies.
- Governments invest in smart farming initiatives to reduce waste and improve productivity.
- Blockchain and IoT enhance transparency, boosting trust among stakeholders.
Restraints:
- High upfront costs limit small-scale farmers from adopting advanced systems.
- Lack of technical expertise in rural areas slows digital transformation.
- Fragmented supply chains create inefficiencies in data sharing and coordination.
Opportunities:
- AI and predictive analytics help optimize logistics and reduce post-harvest losses.
- Emerging markets offer growth potential due to increasing agri-tech investments.
- Sustainable practices attract eco-conscious consumers, opening new revenue streams.
Challenges:
- Climate change disrupts production cycles, affecting supply chain stability.
- Cybersecurity risks grow as farms rely more on connected devices.
- Regulatory hurdles delay the adoption of new technologies across regions.
Agricultural Supply Chain Management Market Key Trends - Regional
North America:
- Farmers adopt IoT and blockchain to enhance traceability and reduce food fraud.
- Automation in warehousing and logistics accelerates through robotics and drone technology.
- Governments incentivize sustainable practices like carbon-neutral supply chains and regenerative farming.
Europe:
- Stricter regulations push agribusinesses to integrate compliance-focused digital platforms.
- Circular economy models gain traction, promoting upcycled agricultural waste and resource efficiency.
- AI-driven demand forecasting tools optimize export-import balance amid geopolitical shifts.
Asia-Pacific:
- Mobile-based ASCM platforms empower smallholder farmers with real-time pricing and weather data.
- Cold chain infrastructure expands to minimize post-harvest losses in tropical climates.
- Public-private partnerships drive adoption of smart farming technologies in rice and wheat sectors.
Latin America:
- Export-oriented farms implement blockchain to meet global certification standards.
- Climate-resilient supply chains prioritize drought-resistant crops and water-efficient irrigation.
- Cooperatives leverage satellite monitoring to combat deforestation in coffee and soybean supply chains.
Middle East & Africa:
- Hydroponic and vertical farming systems address water scarcity and land constraints.
- Solar-powered cold storage solutions reduce reliance on unstable energy grids.
- Mobile platforms connect pastoralists to regional markets, improving livestock trade transparency.
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