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.
| Report Attribute | Specifications |
| Market size value in 2024 | USD 2.3 Billion |
| Revenue forecast in 2034 | USD 9.7 Billion |
| Growth rate CAGR | CAGR of 15.9% from 2025 to 2034 |
| Quantitative units | Representation of revenue in US$ Mn,and CAGR from 2025 to 2034 |
| Historic Year | 2021 to 2024 |
| Forecast Year | 2025-2034 |
| Report coverage | The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
| Segments covered | Type, Stakeholder, Application, Provider, By Deployment Type |
| Regional scope | North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
| 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 |
| 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 |
| Customization scope | Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
| Pricing and available payment methods | Explore pricing alternatives that are customized to your particular study requirements. |
By Development type:
· Public Blockchain
· Private Blockchain
· Hybrid / Consortium Blockchain
By stakeholders:
· Farmers and Growers
· Food Manufacturers / Processors
· Distributors and Retailers
· Wholesalers / Traders
· Regulatory Bodies and Certification Agencies
By providers:
· Blockchain Platforms
· Middleware / Integration Services
· Infrastructure and Protocol Providers
· Application Developers
By application:
· Traceability and Transparency
· Payment and Settlement
· Smart Contracts and Governance
· Product Safety and Compliance
· Inventory and Supply Chain Management
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.