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市场调查报告书
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1455784

全球农产品区块链市场 - 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: 约2个工作天内

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简介目录

概述

全球农产品区块链市场在 2022 年达到 1.201 亿美元,预计到 2030 年将达到 11.141 亿美元,2023-2030 年预测期间CAGR为 32.12%。

消费者对食品透明度和可追溯性的需求,加上解决食品安全和供应链效率低下等具体挑战的需要,增加了对农产品区块链市场的需求。区块链被认为是共享操作及其详细资讯的最安全的方式,因为它分布在系统中的每个利害关係人之间。

农产品区块链减少了世界各地各种不必要的成本和浪费。在农产品中使用区块链将有助于减少食品诈欺、确定产品的真实性并提高客户满意度。它也有助于建立更牢固的消费者关係。区块链平台可以将农民与寻求特定食品的企业和消费者联繫起来,减少浪费。

对新创企业的强劲投资以及主要参与者之间的合作加速了成长,主导了北美在区域市场中的地位。随着北美技术的发展,区块链在减少食物浪费方面的新应用可能会出现,进一步加速其在该地区的影响。

动力学

农业供应链透明度的需求增加

消费者对食品透明度的要求越来越高。消费者行为的转变推动了对更好农业食品实践的需求。区块链技术提供了一种安全且防篡改的方式来追踪食品从农场到餐桌的整个过程。透过确保食品的原产地、来源和品质来建立信任。它为消费者提供有关种植实践和运输细节的即时资讯。

除了透明度之外,区块链还透过保证产品真实性和促进召回来解决食品安全问题。对于致力于道德采购和永续发展的品牌来说,它也是一个强大的行销工具。此外,区块链简化了供应链,减少了文书工作、错误和欺诈,使所有利害关係人受益。由于交易记录在每个利害关係人身上,因此几乎不可能更改它们,这在供应链管理中发挥着重要作用。

对食物浪费的担忧与日俱增

食物浪费在全球日益受到关注。根据联合国 2023 年 9 月的数据,全球生产的粮食在收穫和零售之间损失了约 13%,而全球粮食生产总量的估计有 17% 浪费在家庭、食品服务和零售中。区块链是一个负责任且可持续的食品系统,浪费最少。

区块链技术以其透明和可追溯的性质支持对抗食物浪费,提供更好的供应链,农产品区块链揭示了导致食物浪费的低效率。农产品区块链透过资料分析更准确地预测消费者需求,并帮助优化生产和分配,最大限度地减少生产过剩及其相关浪费。区块链也支持道德采购和永续实践。

缺乏区块链技术的技术技能

实施和管理区块链技术需要专业技能。这包括了解底层技术、开发和维护区块链应用程式以及将其与现有系统整合。农村地区的小农和种植者可能缺乏使用该系统的技术知识。农业部门缺乏具备这些技能的现成劳动力,对市场成长构成了重大挑战。

目录

目录

第 1 章:方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义与概述

第 3 章:执行摘要

  • 按类型分類的片段
  • 提供者的片段
  • 最终使用者的片段
  • 按应用程式片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 农业供应链透明度的需求增加
      • 对食物浪费的担忧与日俱增
    • 限制
      • 缺乏区块链技术的技术技能
    • 机会
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • DMI 意见

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆发前的情景
    • 新冠疫情期间的情景
    • 新冠疫情后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章:按类型

  • 民众
  • 私人的

第 8 章:依提供者分类

  • 应用及解决方案提供商
  • 中介软体提供者
  • 基础设施和协议提供者

第 9 章:按应用

  • 产品可追溯性、追踪和可见性
  • 支付结算
  • 智能合约
  • 治理、风险和合规管理

第 10 章:最终用户

  • 种植者
  • 食品製造商/加工商
  • 零售商
  • 其他

第 11 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 12 章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 13 章:公司简介

  • IBM
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Microsoft
  • SAP SE
  • Arc-net
  • AgriDigital
  • RIPE TECHNOLOGY, INC,
  • Oracle
  • DigitalFoodLab
  • OTT8 Group Inc
  • OPTiM Corporation

第 14 章:附录

简介目录
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