Blockchain In Agriculture And Food Supply Chain Market
PUBLISHED: 2024 ID: SMRC27139
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Blockchain In Agriculture And Food Supply Chain Market

Blockchain in Agriculture and Food Supply Chain Market Forecasts to 2030 - Global Analysis By Type (Public, Private and Hybrid/Consortium), Provider, Stakeholder, Technology, Application, End User and By Geography

4.9 (15 reviews)
4.9 (15 reviews)
Published: 2024 ID: SMRC27139

This report covers the impact of COVID-19 on this global market
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According to Stratistics MRC, the Global Blockchain in Agriculture and Food Supply Chain Market is accounted for $418.4 million in 2024 and is expected to reach $2,915.4 million by 2030 growing at a CAGR of 38.2% during the forecast period. Blockchain in agriculture and the food supply chain is a decentralized digital ledger technology that records transactions across a network of computers in a secure, transparent, and immutable manner. It enhances traceability by tracking the journey of food products from farm to table, ensuring data integrity and reducing fraud. By providing real-time, tamper-proof records, blockchain improves food safety, streamlines supply chain processes, and fosters trust among stakeholders by enabling clear visibility and accountability throughout the entire supply chain.

Market Dynamics: 

Driver: 

Growing demand for transparency and traceability

The rising demand for transparency and traceability in the market reflects consumers' heightened awareness of food safety, quality, and ethical practices. With increasing concerns about provenance, sustainability, and contamination, stakeholders are prioritizing clear, traceable records of food products from farm to table. This demand drives the adoption of technologies like blockchain to provide accurate, real-time information, ensuring that products are responsibly sourced and handled, ultimately fostering consumer trust and enhancing supply chain efficiency.

Restraint:

Need for technical expertise

The need for technical expertise in implementing blockchain within agriculture and the food supply chain can create several challenges. High demand for specialized knowledge can lead to increased costs for training and system maintenance, disproportionately affecting smaller businesses and farms. This reliance on technical skills may also slow down the adoption of blockchain technology, as fewer organizations can afford the necessary expertise. Additionally, a shortage of skilled professionals could result in improper implementation, reducing the effectiveness of blockchain solutions and hindering overall progress.

Opportunity:

Efficiency in supply chain management

Blockchain enhances efficiency in supply chain management within agriculture and the food supply chain by providing a decentralized, transparent ledger of transactions. This technology streamlines processes by automating record-keeping and tracking, reducing the need for intermediaries, and minimizing errors. Real-time data access allows for better inventory management, faster response to disruptions, and improved coordination among stakeholders. Consequently, blockchain boosts overall supply chain efficiency, leading to cost savings, reduced waste, and more reliable delivery of products from farm to table.

Threat:

High Implementation costs

High implementation costs for the market can be a significant barrier to adoption. These costs include investments in technology infrastructure, software development, and specialized expertise. For many organizations, especially smaller farms and businesses, these expenses can be prohibitive. The financial strain may deter adoption and slow the widespread implementation of blockchain solutions, potentially limiting the technology's benefits in enhancing transparency, traceability, and efficiency across the food supply chain.

Covid-19 Impact: 

The COVID-19 pandemic highlighted the critical role of blockchain in agriculture and the food supply chain by underscoring the need for transparency and resilience. Disruptions in supply chains revealed vulnerabilities, and blockchain's capability to provide real-time, verifiable data became essential for managing logistics and ensuring food safety. The pandemic accelerated the adoption of blockchain technology as stakeholders sought to enhance traceability, reduce fraud, and improve response times, ultimately strengthening the resilience and efficiency of the food supply chain.

The middleware providers segment is expected to be the largest during the forecast period

The middleware providers is expected to be the largest during the forecast period. These providers develop platforms that enable seamless data exchange, smart contract management, and transaction processing, bridging the gap between blockchain networks and traditional supply chain systems. Their solutions enhance interoperability, streamline workflows, and support the efficient deployment of blockchain applications, ultimately improving transparency, traceability, and efficiency across the food supply chain.

The product traceability segment is expected to have the highest CAGR during the forecast period

The product traceability segment is expected to have the highest CAGR during the forecast period. Blockchain technology provides an immutable ledger that captures detailed information about a product’s origin, processing, and distribution. This transparency enables stakeholders to track and verify the authenticity and quality of food products, enhancing food safety and reducing fraud. Effective traceability supports quick responses to recalls and improves consumer trust by providing clear, accessible product histories.

Region with largest share:

North America is projected to hold the largest market share during the forecast period owing to and increasing consumer demand for transparent food sourcing. The region's advanced technological infrastructure and significant investment in innovative solutions are accelerating the adoption of blockchain technology. Major players and stakeholders in agriculture and food industries are increasingly implementing blockchain to improve supply chain management, ensure food safety, and streamline operations. 

Region with highest CAGR:

Asia Pacific is projected to witness the highest CAGR over the forecast period due to rising awareness about food safety issues. There is an increasing consumer demand for transparency in food sourcing. Blockchain provides a secure way to track products throughout the supply chain, enhancing consumer trust and safety. The integration of blockchain with IoT and AI technologies is expected to enhance supply chain efficiency and real-time monitoring, further driving adoption in the region.

Key players in the market

Some of the key players in Blockchain in Agriculture and Food Supply Chain market include IBM, Microsoft, Ambrosus, SAP SE, Agridigital, Abaco Group, Wal-Mart, Cargill, DLT Foods, FoodLogiQ, AgriLedger, OriginTrail, CargoChain and Wholechain.

Key Developments:

In April 2024, Microsoft, in partnership with ITC, announced at the World Agri-Tech 2024, an AI copilot application called Krishi Mitra which is intended to serve 30,0000 farmers in India with timely & relevant information to enhance their productivity and profitability and help them build climate resilience.

In November 2023, Bayer has strengthened its collaboration with Microsoft’s Azure Data Manager for Agriculture that connects Bayer’s flagship digital farming product Climate FieldView and original equipment manufacturers (OEMs) to exchange data. This was announced at Agritechnica, the world’s leading trade fair for agricultural machinery.

Types Covered:
• Public
• Private
• Hybrid/Consortium

Providers Covered:
• Application and Solution Providers
• Middleware Providers
• Infrastructure and Protocol Providers

Stakeholders Covered:
• Growers
• Food Manufacturers/Processors
• Retailers

Technologies Covered:
• Automated Record Keeping
• Smart Contracts
• Food Supply Chain Tracing
• Payment Processing Modules
• Food Provenance Tracking Modules
• Other Technologies

Applications Covered:
• Product Traceability
• Tracking and Visibility
• Payment and Settlement
• Smart Contracts
• Governance, Risk, and Compliance Management
• Other Applications

End Users Covered:
• Raw Food Suppliers
• Food Manufacturers
• Transportation and Logistics Providers
• Food Product Distributors
• Government Agencies
• Other End Users 

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 2022, 2023, 2024, 2026, and 2030
- 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 Technology Analysis      
 3.7 Application Analysis      
 3.8 End User Analysis       
 3.9 Emerging Markets       
 3.10 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 Blockchain in Agriculture and Food Supply Chain Market, By Type   
 5.1 Introduction       
 5.2 Public        
 5.3 Private        
 5.4 Hybrid/Consortium       
          
6 Global Blockchain in Agriculture and Food Supply Chain Market, By Provider  
 6.1 Introduction       
 6.2 Application and Solution Providers     
 6.3 Middleware Providers      
 6.4 Infrastructure and Protocol Providers     
          
7 Global Blockchain in Agriculture and Food Supply Chain Market, By Stakeholder  
 7.1 Introduction       
 7.2 Growers        
 7.3 Food Manufacturers/Processors     
 7.4 Retailers        
          
8 Global Blockchain in Agriculture and Food Supply Chain Market, By Technology  
 8.1 Introduction       
 8.2 Automated Record Keeping      
 8.3 Smart Contracts       
 8.4 Food Supply Chain Tracing      
 8.5 Payment Processing Modules      
 8.6 Food Provenance Tracking Modules     
 8.7 Other Technologies       
          
9 Global Blockchain in Agriculture and Food Supply Chain Market, By Application  
 9.1 Introduction       
 9.2 Product Traceability       
 9.3 Tracking and Visibility      
 9.4 Payment and Settlement      
 9.5 Smart Contracts       
 9.6 Governance, Risk, and Compliance Management    
 9.7 Other Applications       
          
10 Global Blockchain in Agriculture and Food Supply Chain Market, By End User  
 10.1 Introduction       
 10.2 Raw Food Suppliers       
 10.3 Food Manufacturers      
 10.4 Transportation and Logistics Providers     
 10.5 Food Product Distributors      
 10.6 Government Agencies      
 10.7 Other End Users       
          
11 Global Blockchain in Agriculture and Food Supply Chain Market, By Geography  
 11.1 Introduction       
 11.2 North America       
  11.2.1 US       
  11.2.2 Canada       
  11.2.3 Mexico       
 11.3 Europe        
  11.3.1 Germany       
  11.3.2 UK       
  11.3.3 Italy       
  11.3.4 France       
  11.3.5 Spain       
  11.3.6 Rest of Europe      
 11.4 Asia Pacific       
  11.4.1 Japan       
  11.4.2 China       
  11.4.3 India       
  11.4.4 Australia       
  11.4.5 New Zealand      
  11.4.6 South Korea      
  11.4.7 Rest of Asia Pacific      
 11.5 South America       
  11.5.1 Argentina      
  11.5.2 Brazil       
  11.5.3 Chile       
  11.5.4 Rest of South America     
 11.6 Middle East & Africa      
  11.6.1 Saudi Arabia      
  11.6.2 UAE       
  11.6.3 Qatar       
  11.6.4 South Africa      
  11.6.5 Rest of Middle East & Africa     
          
12 Key Developments        
 12.1 Agreements, Partnerships, Collaborations and Joint Ventures   
 12.2 Acquisitions & Mergers      
 12.3 New Product Launch      
 12.4 Expansions       
 12.5 Other Key Strategies      
          
13 Company Profiling        
 13.1 IBM        
 13.2 Microsoft        
 13.3 Ambrosus       
 13.4 SAP SE        
 13.5 Agridigital       
 13.6 Abaco Group       
 13.7 Wal-Mart        
 13.8 Cargill        
 13.9 DLT Foods       
 13.10 FoodLogiQ       
 13.11 AgriLedger       
 13.12 OriginTrail       
 13.13 CargoChain       
 13.14 Wholechain       
          
List of Tables         
1 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Region (2022-2030) ($MN)
2 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Type (2022-2030) ($MN)
3 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Public (2022-2030) ($MN)
4 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Private (2022-2030) ($MN)
5 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Hybrid/Consortium (2022-2030) ($MN)
6 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Provider (2022-2030) ($MN)
7 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Application and Solution Providers (2022-2030) ($MN)
8 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Middleware Providers (2022-2030) ($MN)
9 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Infrastructure and Protocol Providers (2022-2030) ($MN)
10 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Stakeholder (2022-2030) ($MN)
11 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Growers (2022-2030) ($MN)
12 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Food Manufacturers/Processors (2022-2030) ($MN)
13 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Retailers (2022-2030) ($MN)
14 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Technology (2022-2030) ($MN)
15 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Automated Record Keeping (2022-2030) ($MN)
16 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Smart Contracts (2022-2030) ($MN)
17 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Food Supply Chain Tracing (2022-2030) ($MN)
18 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Payment Processing Modules (2022-2030) ($MN)
19 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Food Provenance Tracking Modules (2022-2030) ($MN)
20 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Other Technologies (2022-2030) ($MN)
21 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Application (2022-2030) ($MN)
22 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Product Traceability (2022-2030) ($MN)
23 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Tracking and Visibility (2022-2030) ($MN)
24 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Payment and Settlement (2022-2030) ($MN)
25 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Smart Contracts (2022-2030) ($MN)
26 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Governance, Risk, and Compliance Management (2022-2030) ($MN)
27 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Other Applications (2022-2030) ($MN)
28 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By End User (2022-2030) ($MN)
29 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Raw Food Suppliers (2022-2030) ($MN)
30 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Food Manufacturers (2022-2030) ($MN)
31 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Transportation and Logistics Providers (2022-2030) ($MN)
32 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Food Product Distributors (2022-2030) ($MN)
33 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Government Agencies (2022-2030) ($MN)
34 Global Blockchain in Agriculture and Food Supply Chain Market Outlook, By Other End Users (2022-2030) ($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


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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