
Agriculture Blockchain Market
Agriculture Blockchain Market Forecasts to 2032 – Global Analysis By Component (Platform and Services), Type, Organization Size, Application, End User and By Geography

According to Stratistics MRC, the Global Agriculture Blockchain Market is accounted for $1.1 billion in 2025 and is expected to reach $5.3 billion by 2032 growing at a CAGR of 25.1% during the forecast period. The Agriculture Blockchain Market leverages distributed ledger technology to enhance transparency, traceability, and efficiency across agricultural supply chains. Applications include monitoring product origin, reducing fraud, optimizing trade, and streamlining payments between farmers, distributors, and retailers. Increasing concerns over food safety, counterfeit products, and fair trade practices are fueling blockchain adoption. The market also benefits from rising digitalization, smart contracts, and IoT integration. Governments and agribusinesses are exploring blockchain to improve farmer income, regulatory compliance, and consumer trust in food authenticity and quality.
According to the World Bank, blockchain pilots in Kenya and India have improved traceability and reduced post-harvest losses by 20% in select supply chains.
Market Dynamics:
Driver:
Enhanced Supply Chain Transparency
Blockchain-driven supply chain transparency transforms agricultural value chains by creating immutable provenance records that trace produce from farm to fork. This visibility reduces informational asymmetry among growers, processors, distributors, and retailers, cutting dispute-resolution time and shortening recall responses. Moreover, transparent ledgers enable rapid verification of certifications such as organic, fair-trade, and sustainability claims, improving access to premium markets and strengthening consumer trust. Interoperable platforms further streamline audits and reduce documentation friction for exporters and regulators. These gains drive broader commercial interest and investor confidence.
Restraint:
Limited Digital Literacy
Limited digital literacy across many farming communities constrains effective blockchain adoption despite clear operational benefits. Many producers lack familiarity with smartphones, digital wallets, and simple data-entry procedures required to use ledger-based platforms, which reduces data quality and participation. Intermittent connectivity and scarce local training amplify these hurdles and shift onboarding burdens onto vendors and extension services. Without tailored support and simple user interfaces, pilots risk low retention and inconsistent records.
Opportunity:
Government Initiatives and Funding
Grants, innovation funds, and research programmes defray upfront costs, underwrite proof-of-concept pilots, and incentivise public–private partnerships that reduce financial risk for startups and smallholders. Regulatory sandboxes and standards work promoted by governments accelerate interoperability and cross-border certification, smoothing trade flows and compliance. Such instruments also foster standardisation, encourage interoperability, and attract institutional investors seeking regulated, transparent food chains today.
Threat:
Cybersecurity Risks
Cybersecurity risks pose a material threat to agriculture blockchain deployments as supply chains become increasingly connected and data-driven. Threats such as ransomware, data breaches, phishing, and IoT exploitation can corrupt provenance records, disrupt logistics, and inflict reputational damage that erodes buyer and consumer confidence. Smaller agribusinesses often lack mature cyber practices and dedicated IT resources, creating weak links that threat actors can exploit to amplify operational impacts across networks.
Covid-19 Impact:
The COVID-19 pandemic accelerated interest in blockchain solutions by exposing fragilities in provenance and logistics across agricultural supply chains. Disruptions pushed stakeholders to pilot distributed ledgers for faster verification, contactless transactions, and origin tracing, while also highlighting operational and funding constraints that kept many initiatives at pilot stage. Nonetheless, the crisis increased stakeholder awareness, produced practical lessons about interoperability and handshake processes, and informed more pragmatic phased deployments.
The platform (Software/Solutions) segment is expected to be the largest during the forecast period
The platform (Software/Solutions) segment is expected to account for the largest market share during the forecast period because platforms package required capabilities traceability, smart-contract automation, IoT integration, analytics, and user interfaces into deployable suites that meet immediate market needs. Platforms reduce integration complexity by providing APIs, dashboards, middleware, and managed services that connect legacy ERPs with distributed ledgers, accelerating time-to-value for agribusinesses. Successful vendors prioritise farmer-centric design, multilingual onboarding, and clear data-governance models. Platforms that offer compliance modules, modular pricing, and local support expand adoption across commodity types and regions.
The hybrid/consortium blockchain segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the hybrid/consortium blockchain segment is predicted to witness the highest growth rate because these models reconcile transparency with necessary privacy and governance. Hybrid architectures allow public proof of provenance while keeping commercially sensitive transactional details on permissioned ledgers, meeting buyer and regulatory needs. Consortium governance, where industry participants jointly define protocols and operate nodes, build shared trust and reduces unilateral control concerns. Such structures lower coordination costs and accelerates standards across supply chains while enabling interoperability, making them a pragmatic growth choice for multi-stakeholder agricultural ecosystems.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share owing to a mature agri-tech ecosystem, deep private investment, and rapid enterprise adoption of traceability solutions across food and commodity supply chains. Large retailers and foodservice companies demand provenance for regulatory compliance and brand assurance, prompting suppliers to implement blockchain-enabled platforms. Vigorous venture capital activity, active standards organisations, established IoT networks, and extensive pilot deployments provide practical use cases that encourage wider commercial uptake in the region.
Region with highest CAGR:
Over the forecast period, the Europe region is anticipated to exhibit the highest CAGR driven by proactive regulation, sustainability reporting mandates, and substantial public funding that supports digital and green transitions. EU programmes and national grants incentivise pilots linking blockchain to carbon accounting, certification schemes, and cross-border traceability frameworks, creating policy-backed use cases that can scale. Strong consumer demand for ethically sourced food, tightening traceability rules across member states, and cooperative standardisation efforts create fertile conditions for rapid uptake. Public–private collaborations reduce technical risk and attract private investment at scale, thereby accelerating deployments among nations.
Key players in the market
Some of the key players in Agriculture Blockchain Market include IBM (IBM Food Trust), TE-FOOD, Ripe.io, AgriDigital, GrainChain, Ambrosus, Bext360, Provenance, OriginTrail, BanQu, AgriLedger, TraceX Technologies, AgUnity, Skuchain, ChainPoint (now part of Source Intelligence), and FoodLogiQ.
Key Developments:
In September 2024, they expanded their partnership with THG Beauty (LOOKFANTASTIC, Dermstore brands) to integrate their platform for verified sustainability claims.
In February 2024, BanQu announced that they had secured a EU patent allowing their blockchain platform to encrypt and store identity information (farmers, waste collectors, etc.) and asset transaction data.
In September 2023, IBM and iFoodDS publicly launched “iFoodDS Trace Exchange with IBM Food Trust”, intended to help food companies comply with the FDA’s FSMA 204 traceability rule by combining IBM’s blockchain network with iFoodDS’s traceability applications.
Components Covered:
• Platform (Software/Solutions)
• Services
Types Covered:
• Private Blockchain
• Public Blockchain
• Hybrid/Consortium Blockchain
Organization Sizes Covered:
• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)
Applications Covered:
• Supply Chain Management
• Smart Contracts and Automated Payments/Settlements
• Governance, Risk, and Compliance Management
• Farming Operations and Crop/Livestock Management
• Agricultural Finance, Insurance, and Lending
• Land Ownership and Registry
End Users Covered:
• Farmers and Producers
• Food Processors and Manufacturers
• Retailers and Distributors
• Government and Regulatory Bodies
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- 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
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Application Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Agriculture Blockchain Market, By Component
5.1 Introduction
5.2 Platform (Software/Solutions)
5.2.1 Core Blockchain Platforms
5.2.2 Decentralized Applications (dApps)
5.3 Services
5.3.1 Consulting and Training
5.3.2 Implementation and Integration
5.3.3 Support and Maintenance
6 Global Agriculture Blockchain Market, By Type
6.1 Introduction
6.2 Private Blockchain
6.3 Public Blockchain
6.4 Hybrid/Consortium Blockchain
7 Global Agriculture Blockchain Market, By Organization Size
7.1 Introduction
7.2 Large Enterprises
7.3 Small and Medium-sized Enterprises (SMEs)
8 Global Agriculture Blockchain Market, By Application
8.1 Introduction
8.2 Supply Chain Management
8.3 Smart Contracts and Automated Payments/Settlements
8.4 Governance, Risk, and Compliance Management
8.5 Farming Operations and Crop/Livestock Management
8.6 Agricultural Finance, Insurance, and Lending
8.7 Land Ownership and Registry
9 Global Agriculture Blockchain Market, By End User
9.1 Introduction
9.2 Farmers and Producers
9.3 Food Processors and Manufacturers
9.4 Retailers and Distributors
9.5 Government and Regulatory Bodies
10 Global Agriculture Blockchain Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 IBM (IBM Food Trust)
12.2 TE-FOOD
12.3 Ripe.io
12.4 AgriDigital
12.5 GrainChain
12.6 Ambrosus
12.7 Bext360
12.8 Provenance
12.9 OriginTrail
12.10 BanQu
12.11 AgriLedger
12.12 TraceX Technologies
12.13 AgUnity
12.14 Skuchain
12.15 ChainPoint (now part of Source Intelligence)
12.16 FoodLogiQ
List of Tables
1 Global Agriculture Blockchain Market Outlook, By Region (2024-2032) ($MN)
2 Global Agriculture Blockchain Market Outlook, By Component (2024-2032) ($MN)
3 Global Agriculture Blockchain Market Outlook, By Platform (Software/Solutions) (2024-2032) ($MN)
4 Global Agriculture Blockchain Market Outlook, By Core Blockchain Platforms (2024-2032) ($MN)
5 Global Agriculture Blockchain Market Outlook, By Decentralized Applications (dApps) (2024-2032) ($MN)
6 Global Agriculture Blockchain Market Outlook, By Services (2024-2032) ($MN)
7 Global Agriculture Blockchain Market Outlook, By Consulting and Training (2024-2032) ($MN)
8 Global Agriculture Blockchain Market Outlook, By Implementation and Integration (2024-2032) ($MN)
9 Global Agriculture Blockchain Market Outlook, By Support and Maintenance (2024-2032) ($MN)
10 Global Agriculture Blockchain Market Outlook, By Type (2024-2032) ($MN)
11 Global Agriculture Blockchain Market Outlook, By Private Blockchain (2024-2032) ($MN)
12 Global Agriculture Blockchain Market Outlook, By Public Blockchain (2024-2032) ($MN)
13 Global Agriculture Blockchain Market Outlook, By Hybrid/Consortium Blockchain (2024-2032) ($MN)
14 Global Agriculture Blockchain Market Outlook, By Organization Size (2024-2032) ($MN)
15 Global Agriculture Blockchain Market Outlook, By Large Enterprises (2024-2032) ($MN)
16 Global Agriculture Blockchain Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
17 Global Agriculture Blockchain Market Outlook, By Application (2024-2032) ($MN)
18 Global Agriculture Blockchain Market Outlook, By Supply Chain Management (2024-2032) ($MN)
19 Global Agriculture Blockchain Market Outlook, By Smart Contracts and Automated Payments/Settlements (2024-2032) ($MN)
20 Global Agriculture Blockchain Market Outlook, By Governance, Risk, and Compliance Management (2024-2032) ($MN)
21 Global Agriculture Blockchain Market Outlook, By Farming Operations and Crop/Livestock Management (2024-2032) ($MN)
22 Global Agriculture Blockchain Market Outlook, By Agricultural Finance, Insurance, and Lending (2024-2032) ($MN)
23 Global Agriculture Blockchain Market Outlook, By Land Ownership and Registry (2024-2032) ($MN)
24 Global Agriculture Blockchain Market Outlook, By End User (2024-2032) ($MN)
25 Global Agriculture Blockchain Market Outlook, By Farmers and Producers (2024-2032) ($MN)
26 Global Agriculture Blockchain Market Outlook, By Food Processors and Manufacturers (2024-2032) ($MN)
27 Global Agriculture Blockchain Market Outlook, By Retailers and Distributors (2024-2032) ($MN)
28 Global Agriculture Blockchain Market Outlook, By Government and Regulatory Bodies (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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