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1423445

農業市場的全球區塊鏈 - 2023-2030

Global Blockchain in Agriculture Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 186 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述

2022年，全球區塊鏈農業市場規模達1.5812億美元，預計2030年將達到2.541億美元，2023-2030年預測期間CAGR為6.2%。

多年來，農業市場的全球區塊鏈見證了顯著的成長和變革，區塊鏈技術產量不斷增加，可以提供有關植物、種子品質和作物生長的資訊。此外，它甚至可以提供從種子到消費者的供應鏈資訊。因此，這些因素有助於推動全球農業區塊鏈的發展。

此外，區塊鏈可以幫助驗證高價值農作物的真實性和來源，例如有機或公平貿易產品。這可以建立消費者信任並防止欺詐性索賠。追蹤和可追溯技術可以幫助輕鬆識別食品安全，從而增加農業中區塊鏈的採用。

此外，許多製造企業正在利用這種區塊鏈技術為消費者提供高品質的產品和透明的資訊。例如，* 2020 年 4 月，IBM 和雀巢建立了合作夥伴關係，使雀巢能夠使用 IBM 食品信託企業區塊鏈來追蹤其 Zoegas 咖啡品牌。這款咖啡將配備2D碼掃描儀，以幫助消費者追蹤咖啡豆的來源。 IBM食品信託企業區塊鏈將記錄有關農民的資料、收穫時間、特定出貨的交易證書以及烘焙時間。

動力學

對智慧農業實踐的需求增加

隨著消費者對了解食物的來源和生產方式越來越感興趣，農業中對區塊鏈的需求正在增加，因為它提供了可以記錄的產品旅程每個階段的資訊，從種植到收穫、加工、包裝和分佈。這樣可以在出現污染或品質問題時快速且準確地進行追溯，這對於確保食品安全和滿足監管要求至關重要。

此外，許多關鍵參與者都致力於開發創新技術，以便為客戶提供精確的資訊。例如，2020 年7 月，JM Smucker Company 品牌透過其100% 哥倫比亞咖啡包裝產品850 (R) Coffee 與Farmer Connect 合作，現在客戶可以在一個為提高可追溯性而創建的平台上使用IBM 的區塊鏈科技來追蹤咖啡的原產地，咖啡供應鏈的效率和公平性。

對供應鏈透明度的需求上升

隨著消費者對所購買產品的原產地、生產方法和道德考慮更加了解，對供應鏈透明度的需求不斷增加，這增加了農業對區塊鏈的需求，因為它提供了更透明和準確的質量資訊產品的特徵，也有助於輕鬆識別食品污染物，有助於提高食品安全。因此，這些因素導致區塊鏈技術的採用增加。

此外，許多國家政府正在採取舉措，提高消費者對區塊鏈的可用性。例如，2023 年 6 月，泰米爾納德邦資訊科技和數位服務部長為國家電子政府培訓中心揭幕，並啟動了 Nambikkai Inaiyam (NI)。符合資格的各方將使用該區塊鏈來建立透明、高效和安全的以公民為中心的組織間工作流程。企業級G2G和G2C產品和服務將使用此基礎設施來實施。 NI 平台也將充當政府部門和公共部門組織、機構和公司的區塊鏈即服務 (BAAS) 提供者。此類舉措有助於提高採用率。

消費者缺乏認知

消費者和利害關係人缺乏認知可能會導致對採用新技術的抵制，這可能會延遲產業的轉型和區塊鏈潛在好處的實現。這可能會導致區塊鏈技術研究和開發的資金減少。因此，這可能會導致市場成長下降。

此外，由於對區塊鏈技術的認知較少，許多製造商甚至不知道政府的計劃。例如，2021 年 12 月，印度政府電子與資訊技術部啟動了國家區塊鏈計畫。國家區塊鏈框架將用於農業供應鏈、電子健康記錄、教育證書鏈、藥品供應鏈等不同領域的區塊鏈應用的開發和大規模託管。該基礎設施將用於提供區塊鏈作為- a-服務。

目錄

第 1 章：方法與範圍

  • 研究方法論
  • 報告的研究目的和範圍

第 2 章：定義與概述

第 3 章：執行摘要

  • 按類型分類的片段
  • 利害關係人摘錄
  • 提供者摘錄
  • 按組織規模分類的片段
  • 按配銷通路分類的片段
  • 按應用程式片段
  • 按地區分類的片段

第 4 章：動力學

  • 影響因素
    • 促進要素
      • 對智慧農業實踐的需求增加
      • 對供應鏈透明度的需求上升
    • 限制
      • 消費者缺乏認知
    • 機會
    • 影響分析

第 5 章：產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析

第 6 章：COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆發前的情景
    • 新冠疫情期間的情景
    • 新冠疫情後的情景
  • COVID-19 期間的定價動態
  • 供需譜
  • 疫情期間政府與市場相關的舉措
  • 製造商策略舉措
  • 結論

第 7 章：按類型

  • 民眾
  • 私人的
  • 混合/聯盟

第 8 章：利害關係人

  • 種植者
  • 食品製造商/加工商
  • 零售商
  • 其他

第 9 章：由提供者提供

  • 應用及解決方案
  • 中介軟體基礎設施
  • 協議提供者
  • 其他

第 10 章：依組織規模

  • 中小企業
  • 大型企業

第 11 章：按分銷管道

  • 公司專賣店
  • 電子商務
  • 其他

第 12 章：按應用

  • 產品可追溯性、追蹤和可見性
  • 支付結算
  • 智慧合約

第 13 章：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 俄羅斯
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第14章：競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 15 章：公司簡介

  • IBM corporation
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • TE-FOOD International GmbH.
  • Arc-Net
  • iTrust
  • SAP SA
  • Origintrail
  • Ripe Technology, Inc
  • GrainChain, Inc
  • Bitfury Group Limited
  • Amazon Web Services

第 16 章：附錄

簡介目錄
Product Code: AG7857

Overview

Global Blockchain in Agriculture Market reached US$ 158.12 million in 2022 and is expected to reach US$ 254.10 million by 2030, growing with a CAGR of 6.2% during the forecast period 2023-2030.

The global blockchain in the agriculture market has witnessed significant growth and transformations over the years, as blockchain technology has increased in production as can provide information about plants, seed quality, and crop growth. Also, it can even provide information about the supply chain, from seed to consumer. Hence, such factors can help in driving the global blockchain in agriculture.

Furthermore, blockchain can help in verifying the authenticity and provenance of high-value crops, such as organic or fair-trade products. This builds consumer trust and prevents fraudulent claims. The tracking and traceability technology can help in the easy identification of food safety, it can lead to an increase in the adoption of blockchain in agriculture.

Additionally, many manufacturing companies are using this blockchain technology to provide consumers with high-quality products and transparent information. For instance, * In April 2020, IBM and Nestle had a partnership that enables nestle to use the IBM food trust enterprise blockchain to trace its Zoegas coffee brand. This coffee would come in a QR code scanner to help the consumers trace coffee beans for their origin. The IBM food trust enterprise blockchain will record the data about the farmers, time of harvest, transaction certificate for specific shipments as well as roasting period.

Dynamics

Increase in Demand for Smart Agriculture Practices

As consumers are interested in knowing where their food comes from and how it's produced is increasing, the demand for blockchain in agriculture is raising, as it provides information about each stage of a product's journey can be recorded, from planting to harvesting, processing, packaging, and distribution. This enables quick and accurate traceability in case of contamination or quality issues, which is essential for ensuring food safety and meeting regulatory requirements.

Furthermore, many key players are focusing to produce innovative technologies in order to provide customers with precise information. For instance, in July 2020, J. M. Smucker Company brand through its 100% Colombian Coffee packaged product, 850® Coffee collaborating with Farmer Connect, now Customers can now track their coffee's origin using IBM's blockchain technology on a platform created to improve traceability, efficiency, and fairness in the coffee supply chain.

The Rise in Demand for Supply Chain Transparency

The demand for transparency in the supply chain is increasing as consumers are more conscious about the origin, production methods, and ethical considerations of the products they purchase, which increases the demand for blockchain in agriculture as it provides more transparent and accurate information about the quality of the product and also helps in easy identification of food contaminants and helps in increasing the food safety. Hence, such factors lead to an increase in the adoption of blockchain technology.

Furthermore, many country governments are taking initiatives to increase the availability of blockchain to consumers. For instance, in June 2023, the Minister for Information Technology and Digital Services of Tamil Nadu inaugurated the State Training Centre for e-Governance and launched Nambikkai Inaiyam (NI). This blockchain will be used by qualifying parties to build transparent, efficient and secure citizen-centric and inter-organizational workflows. Enterprise-grade G2G and G2C products and services will be implemented using this infrastructure. The NI platform will also function as a Blockchain As A Service (BAAS) provider to Government departments and Public sector organizations, agencies and companies. Such initiatives can help in increasing the adoption rate.

Lack of awareness among the Consumers

The lack of awareness among consumers, and stakeholders can lead to resistance to adopting new technologies This could delay the transformation of the industry and the realization of the potential benefits that blockchain. This could lead to decrease funding for research and development of blockchain technologies. Hence, it could lead to declination in market growth.

Furthermore, due to less awareness about blockchain technologies, many manufacturers are not even aware of government schemes. For instance, in December 2021, the Ministry of Electronics & Information Technology Government of India launched a National Scheme on Blockchain. National Blockchain Framework would be used for the development and large-scale hosting of Blockchain applications in different areas such as agriculture supply chain, electronic health records, education certificate chain, drug supply chain, etc. This infrastructure will be used for providing Blockchain-as-a-Service.

Segment Analysis

The global blockchain in the agriculture market is segmented based on type, stakeholders, providers, organization size, distribution channel, application and region.

Raising in Demand for Effective Blockchain Management

Product traceability, visibility, and tracking segment hold the largest share in the global blockchain in agriculture, as the blockchain can provide traceable tamper-proof information about the product in every step of the supply chain, it also helps in reducing food safety issues as it can helps in quick identification of problems. This also provides all stakeholders with up-to-date visibility into the status and location of products, improving coordination and decision-making.

Furthermore, many manufacturing companies are producing innovative products in order to attract a larger consumer basis. For instance, J.M Smucker uses the IBM blockchain to trace coffee beans of the 1850 Brand. Smucker will use a blockchain to trace Colombian coffee beans while letting consumers make donations to coffee farmers in Colombia. Such products can help increase adoption of blockchain.

Geographical Penetration

Increase in Research and development and Presence of vast agricultural land

North America has been a dominant force in the global blockchain in the agriculture market and its significance has only grown in the post-2020 era. The demand for blockchain technology is raising in this region as consumers in this region are demanding efficient information regarding the origin, food processing, and distribution, which leads to an increase in the adoption rate for blockchain in this region.

Furthermore, the market in this region is majorly driving as the key players' companies are producing a wide variety of products and increasing research and development of blockchain technologies in this region due to the larger consumer base is helping in increasing the global blockchain in the agriculture market.

Additionally, the presence of vast agricultural land can help increase in the adoption of blockchain in agriculture as it can provide exact information about the plants, seed quality, crop growth, and information on the tracking of seeds from farms to consumers. For instance, according to the US Department of Agriculture report of 20221, the United States has approximately 911 million acres of agricultural land.

Competitive Landscape

The major global players in the market include IBM Corporation, TE-FOOD International GmbH, Arc-Net, iTrust, SAP SA, Origintrail, Ripe Technology, Inc, Grain Chain, Inc, Bitfury Group Limited and Amazon Web Services.

COVID-19 Impact Analysis

The pandemic had brought a positive impact on the global blockchain in the agriculture market. During the pandemic, people become more conscious about food safety, and processing, which has raised the demand for precision tracking and traceability of products. But due to government lockdown restrictions, the distribution chain has been disrupted.

Russia-Ukraine War Impact Analysis

The ongoing conflict between Russia and Ukraine has brought a disruption in countries' economies many manufacturing companies are had been shut down due to less employment ratio, exports and imports rate, which had shown a negative impact on the adoption rate and distribution channel.

By Type

  • Public
  • Private
  • Hybrid/Consortium

By Stakeholders

  • Growers
  • Food Manufacturers/Processors
  • Retailers
  • Others

By Providers

  • Application and Solution
  • Middleware Infrastructure
  • Protocol Provider
  • Others

By Organization Size

  • Small and medium-sized enterprises
  • Large enterprises

By Distribution Channel

  • Company Stores
  • E-Commerce
  • Others

By Application

  • Product traceability, tracking and visibility
  • Payment and settlement
  • Smart contract
  • Governance, risk and compliance management

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In August 2020, The renowned blockchain platform Quorum from JPMorgan Chase & Co. (JPM.N) has been bought by Brooklyn-based technology firm ConsenSys.
  • In June 2020, the Atea, IBM, sjomatbedriftene, has announced a new cross-industry collaboration to use blockchain technology and share supply chain data throughout the Norway's seafood industry which helps in providing safer, better seafood to consumers.

Why Purchase the Report?

  • To visualize the global blockchain in agriculture market segmentation based on type, and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of blockchain in agriculture market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global blockchain in agriculture market report would provide approximately 85 tables, 89 figures and 186 Pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Type
  • 3.2. Snippet by Stakeholders
  • 3.3. Snippet by Providers
  • 3.4. Snippet by Organization Size
  • 3.5. Snippet by Distribution Channel
  • 3.6. Snippet by Application
  • 3.7. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Increase in demand for smart agriculture practices
      • 4.1.1.2. Rise in demand for supply chain transparency
    • 4.1.2. Restraints
      • 4.1.2.1. Lack of awareness among consumers
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2. Market Attractiveness Index, By Type
  • 7.2. Public*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Private
  • 7.4. Hybrid/consortium

8. By Stakeholders

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 8.1.2. Market Attractiveness Index, By Stakeholders
  • 8.2. Growers*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Food Manufactures/Processors
  • 8.4. Retailers
  • 8.5. Others

9. By Providers

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 9.1.2. Market Attractiveness Index, By Providers
  • 9.2. Application and Solution*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Middleware Infrastructure
  • 9.4. Protocol Providers
  • 9.5. Others

10. By Organization Size

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 10.1.2. Market Attractiveness Index, By Organization Size
  • 10.2. Small and Medium-sized enterprises*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Large Enterprises

11. By Distribution Chnannel

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 11.1.2. Market Attractiveness Index, By Distribution Channel
  • 11.2. Company Stores*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. E-Commerce
  • 11.4. Others

12. By Application

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.1.2. Market Attractiveness Index, By Application
  • 12.2. Product traceability,treacking and visibility*
    • 12.2.1. Introduction
    • 12.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3. Payment and Settlement
  • 12.4. Smart contract

Governance,risk and compliance management

13. By Region

  • 13.1. Introduction
    • 13.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 13.1.2. Market Attractiveness Index, By Region
  • 13.2. North America
    • 13.2.1. Introduction
    • 13.2.2. Key Region-Specific Dynamics
    • 13.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 13.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 13.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 13.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 13.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.2.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.2.9.1. U.S.
      • 13.2.9.2. Canada
      • 13.2.9.3. Mexico
  • 13.3. Europe
    • 13.3.1. Introduction
    • 13.3.2. Key Region-Specific Dynamics
    • 13.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 13.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 13.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 13.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 13.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.3.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.3.9.1. Germany
      • 13.3.9.2. UK
      • 13.3.9.3. France
      • 13.3.9.4. Italy
      • 13.3.9.5. Russia
      • 13.3.9.6. Rest of Europe
  • 13.4. South America
    • 13.4.1. Introduction
    • 13.4.2. Key Region-Specific Dynamics
    • 13.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 13.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 13.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 13.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 13.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.4.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.4.9.1. Brazil
      • 13.4.9.2. Argentina
      • 13.4.9.3. Rest of South America
  • 13.5. Asia-Pacific
    • 13.5.1. Introduction
    • 13.5.2. Key Region-Specific Dynamics
    • 13.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 13.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 13.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 13.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 13.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 13.5.9. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.5.9.1. China
      • 13.5.9.2. India
      • 13.5.9.3. Japan
      • 13.5.9.4. Australia
      • 13.5.9.5. Rest of Asia-Pacific
  • 13.6. Middle East and Africa
    • 13.6.1. Introduction
    • 13.6.2. Key Region-Specific Dynamics
    • 13.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 13.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Stakeholders
    • 13.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Providers
    • 13.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Distribution Channel
    • 13.6.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

14. Competitive Landscape

  • 14.1. Competitive Scenario
  • 14.2. Market Positioning/Share Analysis
  • 14.3. Mergers and Acquisitions Analysis

15. Company Profiles

  • 15.1. IBM corporation*
    • 15.1.1. Company Overview
    • 15.1.2. Product Portfolio and Description
    • 15.1.3. Financial Overview
    • 15.1.4. Key Developments
  • 15.2. TE-FOOD International GmbH.
  • 15.3. Arc-Net
  • 15.4. iTrust
  • 15.5. SAP SA
  • 15.6. Origintrail
  • 15.7. Ripe Technology, Inc
  • 15.8. GrainChain, Inc
  • 15.9. Bitfury Group Limited
  • 15.10. Amazon Web Services

LIST NOT EXHAUSTIVE

16. Appendix

  • 16.1. About Us and Services
  • 16.2. Contact Us