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Global Blockchain in the Agriculture and Food Supply Chain Market Size is valued at USD 2.3 Billion in 2024 and is predicted to reach USD 9.7 Billion by the year 2034 at a 15.9% CAGR during the forecast period for 2025-2034.
Key Industry Insights & Findings from the Report:
Blockchain in agriculture and food supply chain is becoming increasingly important in the food and agricultural supply chain since it will increase transparency in producing food and agricultural products. Some of the main advantages of blockchain in agriculture and food supply chain that drive the market of the supply chain include the requirements for affordable and accessible foods in times of calamities, dietary management strategies, performance measurement, the record of the complete history of the product, fairer transfer of funds, customer satisfaction, and logistics.
Additionally, the development of agricultural start-ups due to technological improvements in the market has positively influenced the market. The main driving force of market expansion is the rising concern over misappropriation and food waste. Another aspect driving market expansion is the rising demand for transparency. The sector for food and agriculture is seeing increased demand for the blockchain due to rising food fraud.
However, regulatory ambiguity, operational standards related to blockchain in agriculture and the food supply chain, and the need for in-depth expertise are the major factors restraining the market growth. Organizations have closed their locations, people have been told to stay at home, and strict home invasions have been implemented. These limitations will also affect the market growth.
The agriculture and food supply chain's blockchain is segmented by type, applications, organization size, product and provider. Based on type, the market is segmented as public, private and hybrid/consortium. The market is segmented by application: growers, food manufacturers/processors, and retailers. The market is segmented by providers: application providers, middleware providers, and infrastructure providers. By organization size, the market is segmented into small and medium-sized enterprises and large enterprises. By applications, the market is segmented as product traceability, tracking, visibility, payment and settlement, smart contract, governance, risk, and compliance management.
The grower category is expected to hold a significant share of the global blockchain in the agriculture and food supply chain market. The growers have a marginally more significant market share than food distributors or producers. This results from higher rates of cultivators like farmers using blockchain in agriculture and food supply chains. Blockchain in agriculture and food supply chain is anticipated to be used in the agricultural supply chain as a new approach to giving farmers a larger interest in the chain and additional opportunities to promote their products to customers.
The large enterprise segment is projected to increase in the global blockchain's agriculture and food supply chain market. To handle the agriculture and food supply chain, North America embraced cutting-edge technology much more quickly than other regions, as a large enterprise can provide clients with a customized approach based on innovation that addresses the unique needs of each supply chain. This enables businesses to meet the market's rising standards. Large companies emphasize implementing efficient data ways to categorize and foresee likely hazards and use this data to make quicker business choices. These elements are projected to fuel market expansion.
The North American blockchain in the agriculture and food supply chain market is expected to register the highest market share in revenue shortly. To handle the agriculture and food supply chain, North America embraced cutting-edge technology much more quickly than other regions. As a result, the continent became the most significant market shareholder for blockchain in agriculture and the food supply chain. The region's most economically stable nations, the US and Canada, hold a sizable market share of the blockchain in the agriculture and food supply chain.
Europe region is estimated to show the highest growth in the market during the forecast period. Due to the region's increasing embrace of cutting-edge technology like blockchain and informatics. The blockchain in India's agriculture sector is anticipated to be driven by increasing investment from various stakeholders and the government to stimulate research and implementation of innovative technologies.
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Report Attribute |
Specifications |
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Market size value in 2024 |
USD 2.3 Billion |
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Revenue forecast in 2034 |
USD 9.7 Billion |
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Growth rate CAGR |
CAGR of 15.9% from 2025 to 2034 |
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Quantitative units |
Representation of revenue in US$ Mn,and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments covered |
Type, Stakeholder, Application, Provider, Organization Site |
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Regional scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
IBM, Microsoft, Ambrosius, Sap Se, Origintrail, Provenance, Agridigital, Abaco Group, Ripe.Io, Vechain, Chainvine, Agrichain, Skuchain, Bext360, Fce Group Ag, Coin 22, Te-Food International Gmbh, Modum.Io Ag, Viveat, Eharvesthub Inc., Grainchain, Cargochain, Farm2kitchen Foods Pvt. Ltd., Genuino, Agri 10x |
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Customization scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and available payment methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Blockchain in Agriculture and Food Supply Chain Market Snapshot
Chapter 4. Global Blockchain in Agriculture and Food Supply Chain Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Type:
5.2.1. Public
5.2.2. Private
5.2.3. Hybrid/Consortium
Chapter 6. Market Segmentation 2: by Stakeholders Estimates & Trend Analysis
6.1. by Stakeholders & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Stakeholders:
6.2.1. Growers
6.2.2. Food Manufacturers/Processors
6.2.3. Retailers
Chapter 7. Market Segmentation 3: by Providers Estimates & Trend Analysis
7.1. by Providers & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Providers:
7.2.1. Application Providers
7.2.2. Middleware Providers
7.2.3. Infrastructure Providers
Chapter 8. Market Segmentation 4: by Organization Size Estimates & Trend Analysis
8.1. by Organization Size & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Organization Size:
8.2.1. Small And Medium-Sized Enterprises
8.2.2. Large Enterprises
Chapter 9. Market Segmentation 5: by Application Estimates & Trend Analysis
9.1. by Application & Market Share, 2024 & 2034
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
9.2.1. Product Traceability, Tracking, And Visibility
9.2.2. Payment And Settlement
9.2.3. Smart Contract
9.2.4. Governance, Risk, And Compliance Management
Chapter 10. Blockchain in Agriculture and Food Supply Chain Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. North America
10.1.1. North America Blockchain in Agriculture and Food Supply Chain Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.1.2. North America Blockchain in Agriculture and Food Supply Chain Market Revenue (US$ Million) Estimates and Forecasts by Stakeholders, 2021-2034
10.1.3. North America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Providers, 2021-2034
10.1.4. North America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Organization Size, 2021-2034
10.1.5. North America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Application, 2021-2034
10.1.6. North America Blockchain in Agriculture and Food Supply Chain Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.2. Europe
10.2.1. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Type, 2021-2034
10.2.2. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Stakeholders, 2021-2034
10.2.3. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Providers, 2021-2034
10.2.4. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Organization Size, 2021-2034
10.2.5. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Application, 2021-2034
10.2.6. Europe Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by country, 2021-2034
10.3. Asia Pacific
10.3.1. Asia Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Type, 2021-2034
10.3.2. Asia Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Stakeholders, 2021-2034
10.3.3. Asia-Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Providers, 2021-2034
10.3.4. Asia Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Organization Size, 2021-2034
10.3.5. Asia Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Application, 2021-2034
10.3.6. Asia Pacific Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by country, 2021-2034
10.4. Latin America
10.4.1. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Type, 2021-2034
10.4.2. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Stakeholders, 2021-2034
10.4.3. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Providers,2021-2034
10.4.4. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Organization Size, 2021-2034
10.4.5. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Application, 2021-2034
10.4.6. Latin America Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by country, 2021-2034
10.5. Middle East & Africa
10.5.1. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Type,2021-2034
10.5.2. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Stakeholders, 2021-2034
10.5.3. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Providers, 2021-2034
10.5.4. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Organization Size, 2021-2034
10.5.5. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by Application, 2021-2034
10.5.6. Middle East & Africa Blockchain in Agriculture and Food Supply Chain Market revenue (US$ Million) by country, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. IBM
11.2.2. Microsoft
11.2.3. Arc-Net
11.2.4. Ambrosus
11.2.5. Sap Se
11.2.6. Origintrail
11.2.7. Provenance
11.2.8. Agridigital
11.2.9. Abaco Group
11.2.10. Ripe.Io
11.2.11. Vechain
11.2.12. Chainvine
11.2.13. Agrichain
11.2.14. Skuchain
11.2.15. Bext360
11.2.16. Fce Group Ag
11.2.17. Coin 22
11.2.18. Te-Food International Gmbh
11.2.19. Modum.Io Ag
11.2.20. Viveat
11.2.21. Eharvesthub Inc.
11.2.22. Grainchain
11.2.23. Cargochain
11.2.24. Farm2kitchen Foods Pvt. Ltd.
11.2.25. Genuino
11.2.26. Agri 10x
11.2.27. Other Prominent Players
By type:
By stakeholders:
By providers:
By organization size:
By application:
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
