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市場調查報告書
商品編碼
1455784

全球農產品區塊鏈市場 - 2023-2030

Global Agrifood block chain market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 183 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述

全球農產品區塊鏈市場在 2022 年達到 1.201 億美元，預計到 2030 年將達到 11.141 億美元，2023-2030 年預測期間CAGR為 32.12%。

消費者對食品透明度和可追溯性的需求，加上解決食品安全和供應鏈效率低下等具體挑戰的需要，增加了對農產品區塊鏈市場的需求。區塊鏈被認為是共享操作及其詳細資訊的最安全的方式，因為它分佈在系統中的每個利害關係人之間。

農產品區塊鏈減少了世界各地各種不必要的成本和浪費。在農產品中使用區塊鏈將有助於減少食品詐欺、確定產品的真實性並提高客戶滿意度。它也有助於建立更牢固的消費者關係。區塊鏈平台可以將農民與尋求特定食品的企業和消費者聯繫起來，減少浪費。

對新創企業的強勁投資以及主要參與者之間的合作加速了成長，主導了北美在區域市場中的地位。隨著北美技術的發展，區塊鏈在減少食物浪費方面的新應用可能會出現，進一步加速其在該地區的影響。

動力學

農業供應鏈透明度的需求增加

消費者對食品透明度的要求越來越高。消費者行為的轉變推動了對更好農業食品實踐的需求。區塊鏈技術提供了一種安全且防篡改的方式來追蹤食品從農場到餐桌的整個過程。透過確保食品的原產地、來源和品質來建立信任。它為消費者提供有關種植實踐和運輸細節的即時資訊。

除了透明度之外，區塊鏈還透過保證產品真實性和促進召回來解決食品安全問題。對於致力於道德採購和永續發展的品牌來說，它也是一個強大的行銷工具。此外，區塊鏈簡化了供應鏈，減少了文書工作、錯誤和欺詐，使所有利害關係人受益。由於交易記錄在每個利害關係人身上，因此幾乎不可能更改它們，這在供應鏈管理中發揮著重要作用。

對食物浪費的擔憂與日俱增

食物浪費在全球日益受到關注。根據聯合國 2023 年 9 月的數據，全球生產的糧食在收穫和零售之間損失了約 13%，而全球糧食生產總量的估計有 17% 浪費在家庭、食品服務和零售中。區塊鏈是一個負責任且永續的食品系統，浪費最少。

區塊鏈技術以其透明和可追溯的性質支持對抗食物浪費，提供更好的供應鏈，農產品區塊鏈揭示了導致食物浪費的低效率。農產品區塊鏈透過資料分析更準確地預測消費者需求，並幫助最佳化生產和分配，最大限度地減少生產過剩及其相關浪費。區塊鏈也支持道德採購和永續實踐。

缺乏區塊鏈技術的技術技能

實施和管理區塊鏈技術需要專業技能。這包括了解底層技術、開發和維護區塊鏈應用程式以及將其與現有系統整合。農村地區的小農和種植者可能缺乏使用該系統的技術知識。農業部門缺乏具備這些技能的現成勞動力，對市場成長構成了重大挑戰。

目錄

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
  • 提供者的片段
  • 最終使用者的片段
  • 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
      • 農業供應鏈透明度的需求增加
      • 對食物浪費的擔憂與日俱增
    • 限制
      • 缺乏區塊鏈技術的技術技能
    • 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
  • DMI 意見

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

第 8 章：依提供者分類

  • 應用及解決方案提供商
  • 中介軟體提供者
  • 基礎設施和協議提供者

第 9 章：按應用

  • 產品可追溯性、追蹤和可見性
  • 支付結算
  • 智慧合約
  • 治理、風險和合規管理

第 10 章：最終用戶

  • 種植者
  • 食品製造商/加工商
  • 零售商
  • 其他

第 11 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
    • 西班牙
    • 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 12 章：競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 13 章：公司簡介

  • IBM
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • Microsoft
  • SAP SE
  • Arc-net
  • AgriDigital
  • RIPE TECHNOLOGY, INC,
  • Oracle
  • DigitalFoodLab
  • OTT8 Group Inc
  • OPTiM Corporation

第 14 章：附錄

簡介目錄
Product Code: AG587

Overview

Global Agrifood Blockchain Market reached US$ 120.1 million in 2022 and is expected to reach US$ 1,114.1 million by 2030, growing with a CAGR of 32.12% during the forecast period 2023-2030.

The consumer demand for transparency and traceability in food, coupled with the need to address specific challenges like food safety and supply chain inefficiencies, increases the demand for the agrifood blockchain market. The blockchain is considered to be the most secure way to share the operations and their details as it's distributed across each stakeholder across the system.

The agrifood blockchain reduces the various unnecessary costs and wastages across the world. The use of blockchain within agrifood would help to reduce food fraud, establish the authenticity of the product, and improve customer satisfaction. It also helps in building stronger consumer relationships. Blockchain platforms can connect farmers with businesses and consumers seeking specific food items, reducing waste.

Robust investment in startups and collaboration among key players accelerate the growth, dominating North America's position in the regional marketplace. As technology evolves in North America, new applications for blockchain in food waste reduction are likely to emerge, further accelerating its impact in the region.

Dynamics

Increase in Demand for Agricultural Supply-Chain Transparency

Consumers are increasingly demanding transparency in their food. The shift in consumer behavior is driving the need for better agri-food practices. Blockchain technology offers a secure and tamper-proof way to track food from farm to table. This builds trust by ensuring the origin, source, and quality of food. It empowers consumers with real-time information about growing practices and transportation details.

Along with transparency, blockchain addresses food safety concerns by guaranteeing product authenticity and facilitating recalls. It is also a powerful marketing tool for brands committed to ethical sourcing and sustainability. Further, blockchain streamlines the supply chain, reducing paperwork, errors, and fraud, benefiting all stakeholders. As the transactions are recorded on each stakeholder, it's nearly impossible to alter them, which plays a significant role in supply chain management.

Growth in Concerns Toward Food Wastage

Food waste is a growing concern at the global level. According to the United Nations September 2023, globally, around 13 percent of food produced is lost between harvest and retail, while an estimated 17 percent of total global food production is wasted in households, food service, and retail together. The blockchain works as a responsible and sustainable food system with minimal waste.

Blockchain technology supports to fight against food waste by its transparent and traceable nature providing a better supply chain, the agrifood blockchains reveal inefficiencies that lead to wasted food. The agrifood blockchain predicts consumer demand more accurately through data analysis and helps optimize production and distribution, minimizing overproduction and its associated waste. Blockchain also empowers ethical sourcing and sustainable practices.

Lack of Technical Skillset in Blockchain Technology

Implementing and managing blockchain technology requires specialized skills. This includes understanding the underlying technology, developing and maintaining blockchain applications, and integrating them with existing systems. The small-time farmers and growers in rural areas might lack the technical know-how to utilize the system. The lack of a readily available workforce with these skills in the agricultural sector poses a significant challenge to market growth.

Segment Analysis

The global agrifood blockchain market is segmented based on type, provider, application, end-user and region.

High Product Transparency Provided By Product Traceability, Tracking, And Visibility

The global agrifood blockchain market is segmented based on application into product traceability, tracking, and visibility, payment and settlement, smart contract, governance, risk, and compliance management. The product traceability, tracking, and visibility segment accounted for the largest share of the agrifood blockchain market.

The secure, tamper-proof nature of agrifood blockchain helps to track a product's journey from farm to table, addressing concerns about safety, sustainability, and ethical sourcing. This builds trust and empowers them to make informed choices. It streamlines data exchange, automates processes, and facilitates compliance with regulations. It can satisfy consumer demands and transform the agrifood industry for the better, driving segment growth.

Geographical Penetration

High Adoption of Blockchain in North America

North America dominated the global agrifood blockchain market. The largest regional share of North America is due to the adoption of blockchain in agriculture and the growing blockchain expertise of the area. The region's vast and established agricultural sector serves as a prime testing ground for these innovations.

North America accounts for the brilliant advancement in technology that helps in wide contribution to the fact regions higher position in the market. This support in developing and deploying effective solutions for the agricultural sector. In addition to the technology advancement, the presence of major companies like IBM and Microsoft actively promoting blockchain solutions provides a strong foundation for the market size.

Competitive Landscape

The major global players in the market include IBM, Microsoft, SAP SE, Arc-net, AgriDigital, Ripe Technology, Inc., Oracle, DigitalFoodLab, OTT8 Group Inc., and OPTiM Corporation.

COVID-19 Impact Analysis

The COVID-19 had a moderate impact on the global agrifood blockchain market. The market didn't have much exposure in the market before COVID-19 but reached heights due to high consumer concentration on food origin and health benefits. The interrupted distribution channels and uncoordinated and delayed supply chains have hurt the market the during pandemic period.

The pandemic increased the health and environmental consciousness among global consumers resulting in the achievement of better health-supporting and sustainable practices. The pandemic caused consumers to need to know about better and transparent agriculture and food management through this application of the market demand post-COVID-19 conditions.

By Type

  • Public
  • Private

By Provider

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

By Application

  • Product Traceability, Tracking, and Visibility
  • Payment and Settlement
  • Smart Contract
  • Governance, Risk, and Compliance Management

By End-User

  • Growers
  • Food Manufacturers/Processors
  • Retailers
  • Other

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 January 2024, NITI Aayog, the Ministry of Agriculture and Farmers' Welfare and the Food and Agriculture Organization of the United Nations jointly launched the Investment Forum for Advancing Climate Resilient Agrifood Systems in India. The initiative aims to develop an investment and partnership to advance climate-resilient agrifood systems.
  • In March 2023, Maalexi, a start-up, that provides a blockchain-enabled ecosystem that assists small food and agri-businesses in accessing cross-border trade and finance directly, joined Rockstart AgriFood in Spring 2023. Rockstart supports founders via industry-specific and tailored accelerator programs.

Why Purchase the Report?

  • To visualize the global agrifood blockchain market segmentation based on type, provider, application, end-user, 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 agrifood blockchain 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 agrifood blockchain market report would provide approximately 70 tables, 64 figures, and 183 pages.

Target Audience 2023

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

Table of Contents

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 Provider
  • 3.3.Snippet by End-User
  • 3.4.Snippet by Application
  • 3.5.Snippet by Region

4.Dynamics

  • 4.1.Impacting Factors
    • 4.1.1.Drivers
      • 4.1.1.1.Increase in Demand for Agricultural Supply-Chain Transparency
      • 4.1.1.2.Growth in Concerns Toward Food Wastage
    • 4.1.2.Restraints
      • 4.1.2.1.Lack of Technical Skillset in Blockchain Technology
    • 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
  • 5.5.DMI Opinion

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

8.By Provider

  • 8.1.Introduction
    • 8.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 8.1.2.Market Attractiveness Index, By Provider
  • 8.2.Application and Solution Provider
    • 8.2.1.Introduction
    • 8.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3.Middleware Provider
  • 8.4.Infrastructure and Protocol Provider

9.By Application

  • 9.1.Introduction
    • 9.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2.Market Attractiveness Index, By Application
  • 9.2.Product Traceability, Tracking, and Visibility
    • 9.2.1.Introduction
    • 9.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3.Payment and Settlement
  • 9.4.Smart Contract
  • 9.5.Governance, Risk, and Compliance Management

10.By End-User

  • 10.1.Introduction
    • 10.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2.Market Attractiveness Index, By End-User
  • 10.2.Growers
    • 10.2.1.Introduction
    • 10.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3.Food Manufacturers/Processors
  • 10.4.Retailers
  • 10.5.Other

11.By Region

  • 11.1.Introduction
    • 11.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2.Market Attractiveness Index, By Region
  • 11.2.North America
    • 11.2.1.Introduction
    • 11.2.2.Key Region-Specific Dynamics
    • 11.2.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.2.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 11.2.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.7.1.U.S.
      • 11.2.7.2.Canada
      • 11.2.7.3.Mexico
  • 11.3.Europe
    • 11.3.1.Introduction
    • 11.3.2.Key Region-Specific Dynamics
    • 11.3.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.3.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 11.3.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.7.1.Germany
      • 11.3.7.2.U.K.
      • 11.3.7.3.France
      • 11.3.7.4.Italy
      • 11.3.7.5.Spain
      • 11.3.7.6.Rest of Europe
  • 11.4.South America
    • 11.4.1.Introduction
    • 11.4.2.Key Region-Specific Dynamics
    • 11.4.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.4.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 11.4.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1.Brazil
      • 11.4.7.2.Argentina
      • 11.4.7.3.Rest of South America
  • 11.5.Asia-Pacific
    • 11.5.1.Introduction
    • 11.5.2.Key Region-Specific Dynamics
    • 11.5.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.5.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 11.5.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1.China
      • 11.5.7.2.India
      • 11.5.7.3.Japan
      • 11.5.7.4.Australia
      • 11.5.7.5.Rest of Asia-Pacific
  • 11.6.Middle East and Africa
    • 11.6.1.Introduction
    • 11.6.2.Key Region-Specific Dynamics
    • 11.6.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.6.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Provider
    • 11.6.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12.Competitive Landscape

  • 12.1.Competitive Scenario
  • 12.2.Market Positioning/Share Analysis
  • 12.3.Mergers and Acquisitions Analysis

13.Company Profiles

  • 13.1.IBM
    • 13.1.1.Company Overview
    • 13.1.2.Product Portfolio and Description
    • 13.1.3.Financial Overview
    • 13.1.4.Key Developments
  • 13.2.Microsoft
  • 13.3.SAP SE
  • 13.4.Arc-net
  • 13.5.AgriDigital
  • 13.6.RIPE TECHNOLOGY, INC,
  • 13.7.Oracle
  • 13.8.DigitalFoodLab
  • 13.9.OTT8 Group Inc
  • 13.10.OPTiM Corporation

LIST NOT EXHAUSTIVE

14.Appendix

  • 14.1.About Us and Services
  • 14.2.Contact Us