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全球农业客户细分市场 - 全球和区域分析：考虑农场规模、农民年龄层、作物类型和农场所有权（2024 年）
市场调查报告书
商品编码
1648556

全球农业客户细分市场 - 全球和区域分析：考虑农场规模、农民年龄层、作物类型和农场所有权（2024 年）

Agriculture Customer Segmentation Market - A Global and Regional Analysis: Focus on Farm Size, Farmer Age Group, Crop Type, and Farm Ownership - Analysis Period, 2024
出版日期: | 出版商: BIS Research | 英文 129 Pages | 商品交期: 1-5个工作天内

价格

市场介绍

农业客户细分市场是指根据通用特征将农业客户分类为特定群体的过程和工具，使企业能够提供有针对性的产品、服务和解决方案。该市场包括软体、分析和咨询服务，以识别农场规模、作物类型、地区、农业技术和购买行为等细分市场。透过细分，农业相关企业可以优化行销策略、改善产品开发并提高客户参与。这个市场对于推动精密农业、永续实践和客製化创新至关重要，最终提高农业相关企业的盈利和营运效率。

产业影响力

随着欧盟绿色协议等措施推动永续农业实践的采用，农业客户细分市场将对该产业产生重大影响。永续性和资源优化的推动力对准确的客户分析的需求日益增加，以提供有针对性的解决方案。细分将使农业相关企业能够根据不同农民群体量身定制产品和服务，例如采用精密农业、物联网和基于人工智慧的技术的农民群体。这种客製化有利于有效配置资源并促进产品开发创新。

提供细分工具和分析的行业可能会看到投资的增加，特别是当相关利益者优先考虑符合气候变迁目标的资料主导策略时。此外，随着越来越多的公司寻求改进其细分技术以更好地适应永续性目标，市场研究、开发和合作也有望成长。这些发展将提高客户满意度，提高业务效率，并支持全球向有弹性和永续的农业生态系统的全面转型。

本报告分析了全球农业客户细分市场，并提供了细分趋势、市场动态和新技术的资料，以及对农场规模、农民年龄层、作物类型和农场所有权的见解。

目录

执行摘要

研究范围

第一章 国家分析

  • 美国
    • 农场规模
    • 农业经济学
  • 加拿大
    • 农场规模
    • 农业经济学
  • 德国
    • 农场规模
    • 农业经济学
  • 法国
    • 农场规模
    • 农业经济学
  • 义大利
    • 农场规模
    • 农业经济学
  • 西班牙
    • 农场规模
    • 农业经济学
  • 罗马尼亚
    • 农场规模
    • 农业经济学
  • 中国
    • 农场规模
    • 农业经济学
  • 日本
    • 农场规模
    • 农业经济学
  • 澳洲
    • 农场规模
    • 农业经济学
  • 印度
    • 农场规模
    • 农业经济学
  • 土耳其
    • 农场规模
    • 农业经济学
  • 乌克兰
    • 农场规模
    • 农业经济学

第 2 章 农业客户区隔（依农民年龄层）

  • 农民年龄层的技术采用模式
    • 青年农民（18-30岁）
    • 中年农民（31-50岁）
    • 老年农民（51岁以上）
  • 年龄对购买行为和偏好的影响
  • 适合年龄的技术使用案例研究

3. 农业客户细分市场（依农场所有权）

  • 农场所有权类型
    • 小型农场
    • 家庭农场
    • 企业农场
    • 合作农场
    • 农场所有权对智慧科技投资的影响

第 4作物。

  • 作物类型
    • 作物类型所采用的技术
    • 作物类型及其对智慧技术使用的影响
    • 作物技术采用的地区差异

第五章结论与建议

  • 农业技术Start-Ups的崛起
  • 目标行销和产品开发建议
  • 趋势
    • 有机农业需求不断增加
    • 人们对气候适应型农业方法的兴趣日益浓厚
  • 机会
    • 政府支持和补贴
    • 新兴经济体的扩张

第六章调查方法

Product Code: AGA1484SB

Introduction to the Agriculture Customer Segmentation

Agriculture Customer Segmentation involves categorizing farmers, agribusinesses, or stakeholders into distinct groups based on shared characteristics to effectively tailor products, services, and marketing strategies. Segmentation criteria may include farm size, crop type, geographical location, farming practices, income levels, and technology adoption rates. By understanding these segments, agribusinesses can better address specific needs, such as precision farming tools for tech-savvy farmers or affordable solutions for smallholders. This approach enhances customer satisfaction, optimizes resource allocation, and drives business growth while fostering sustainable agricultural practices. Effective segmentation supports innovation and builds stronger relationships with diverse agricultural stakeholders.

Market Introduction

The agriculture customer segmentation market refers to the process and tools used to categorize agricultural customers into specific groups based on shared traits, enabling businesses to offer targeted products, services, and solutions. This market includes software, analytics, and consulting services that help identify segments such as farm size, crop type, geographic location, farming techniques, and purchasing behavior. By leveraging segmentation, companies in the agriculture industry can optimize their marketing strategies, improve product development, and enhance customer engagement. This market is critical in driving precision agriculture, sustainable practices, and tailored innovations, ultimately boosting profitability and operational efficiency for agribusinesses.

Industrial Impact

The agriculture customer segmentation market is set for significant industrial impact as the adoption of sustainable agricultural practices, driven by initiatives such as the EU Green Deal, gains momentum. The push toward sustainability and resource optimization creates a heightened demand for precise customer profiling to deliver targeted solutions. Segmentation enables agribusinesses to tailor products and services for diverse farmer groups, such as those adopting precision farming, IoT, or AI-based technologies. This customization fosters the efficient allocation of resources and drives innovation in product development.

Industries offering segmentation tools and analytics are likely to witness increased investment, particularly as stakeholders prioritize data-driven strategies to align with climate-smart goals. Additionally, the market is expected to experience growth in R&D and collaboration as companies seek to refine segmentation techniques for better alignment with sustainability targets. This development supports improved customer satisfaction and operational efficiency and the overall transition to a resilient and sustainable agricultural ecosystem globally.

Countries Considered:

  • U.S.
  • Canada
  • Germany
  • France
  • Italy
  • Spain
  • Romania
  • China
  • Japan
  • Australia
  • India
  • Turkey

Customer Segmentation Parameters

  • By Country
  • By Farm Size
  • By Farm Economics
  • By Farmer's Age Group
    • Young Farmers
    • Middle-Aged Farmers
    • Older Farmers
  • By Farm Ownership
    • Smallholder Farms
    • Family-Owned Farms
    • Corporate Farms
    • Cooperative Farms
  • By Crop Type

How can this Report add value to an Organization?

This Report provides actionable insights into the agriculture customer segmentation market, enabling organizations to effectively identify and target specific customer groups. By leveraging data on segmentation trends, market dynamics, and emerging technologies, businesses can tailor their strategies to align with customer needs and sustainability goals. The report helps optimize resource allocation, enhance customer satisfaction, and gain a competitive edge in a rapidly evolving agricultural landscape.

Research Methodology

  • The scope of this report focuses on the agricultural customers and their interests at a global level.
  • The base currency considered for the market analysis is US$. Currencies other than the US$ have been converted to the US$ for all statistical calculations, considering the average conversion rate for that particular year.
  • The currency conversion rate was taken from the historical exchange rate on the FxTop website.
  • Nearly all the recent developments from January 2021 to November 2024 have been considered in this research study.
  • The information rendered in the report is a result of in-depth primary interviews, surveys, and secondary analysis.
  • Where relevant information was not available, proxy indicators and extrapolation were employed.
  • Technologies currently used are expected to persist, with no major breakthroughs.

Secondary Research

This research study of the agricultural customer involves extensive secondary research, directories, company websites, and annual reports. It also uses databases, such as ITU, Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented study.

Table of Contents

Executive Summary

Scope of the Study

1 Country Analysis

  • 1.1 U.S.
    • 1.1.1 Farm Size
      • 1.1.1.1 Farm Structure
    • 1.1.2 Farm Economics
      • 1.1.2.1 Cost Model
      • 1.1.2.2 Crop Pattern
      • 1.1.2.3 Stress Pattern
      • 1.1.2.4 Labor Availability and Awareness
      • 1.1.2.5 Government Policies and Regulations
  • 1.2 Canada
    • 1.2.1 Farm Size
      • 1.2.1.1 Farm Structure
    • 1.2.2 Farm Economics
      • 1.2.2.1 Cost Model
      • 1.2.2.2 Crop Pattern
      • 1.2.2.3 Stress Pattern
      • 1.2.2.4 Labor Availability and Awareness
      • 1.2.2.5 Government Policies and Regulations
  • 1.3 Germany
    • 1.3.1 Farm Size
      • 1.3.1.1 Farm Structure
    • 1.3.2 Farm Economics
      • 1.3.2.1 Cost Model
      • 1.3.2.2 Crop Pattern
      • 1.3.2.3 Stress Pattern
      • 1.3.2.4 Labor Availability and Awareness
      • 1.3.2.5 Government Policies and Regulations
  • 1.4 France
    • 1.4.1 Farm Size
      • 1.4.1.1 Farm Structure
    • 1.4.2 Farm Economics
      • 1.4.2.1 Cost Model
      • 1.4.2.2 Crop Pattern
      • 1.4.2.3 Stress Pattern
      • 1.4.2.4 Labor Availability and Awareness
      • 1.4.2.5 Government Policies and Regulations
  • 1.5 Italy
    • 1.5.1 Farm Size
    • 1.5.2 Farm Economics
      • 1.5.2.1 Cost Model
      • 1.5.2.2 Crop Pattern
      • 1.5.2.3 Stress Pattern
      • 1.5.2.4 Labor Availability and Awareness
      • 1.5.2.5 Government Policies and Regulations
  • 1.6 Spain
    • 1.6.1 Farm Size
      • 1.6.1.1 Farm Structure
    • 1.6.2 Farm Economics
      • 1.6.2.1 Cost Model
      • 1.6.2.2 Crop Pattern
      • 1.6.2.3 Stress Pattern
      • 1.6.2.4 Labor Availability and Awareness
      • 1.6.2.5 Government Policies and Regulations
  • 1.7 Romania
    • 1.7.1 Farm Size
      • 1.7.1.1 Farm Structure
    • 1.7.2 Farm Economics
      • 1.7.2.1 Cost Model
      • 1.7.2.2 Crop Pattern
      • 1.7.2.3 Stress Pattern
      • 1.7.2.4 Labor Availability and Awareness
      • 1.7.2.5 Government Policies and Regulations
  • 1.8 China
    • 1.8.1 Farm Size
      • 1.8.1.1 Farm Structure
    • 1.8.2 Farm Economics
      • 1.8.2.1 Cost Model
      • 1.8.2.2 Crop Pattern
      • 1.8.2.3 Stress Pattern
      • 1.8.2.4 Labor Availability and Awareness
      • 1.8.2.5 Government Policies and Regulations
  • 1.9 Japan
    • 1.9.1 Farm Size
      • 1.9.1.1 Farm Structure
    • 1.9.2 Farm Economics
      • 1.9.2.1 Cost Model
      • 1.9.2.2 Crop Pattern
      • 1.9.2.3 Stress Pattern
      • 1.9.2.4 Labor Availability and Awareness
      • 1.9.2.5 Government Policies and Regulations
  • 1.1 Australia
    • 1.10.1 Farm Size
      • 1.10.1.1 Farm Structure
    • 1.10.2 Farm Economics
      • 1.10.2.1 Cost Model
      • 1.10.2.2 Crop Pattern
      • 1.10.2.3 Stress Pattern
      • 1.10.2.4 Labor Availability and Awareness
      • 1.10.2.5 Government Policies and Regulations
  • 1.11 India
    • 1.11.1 Farm Size
      • 1.11.1.1 Farm Structure
    • 1.11.2 Farm Economics
      • 1.11.2.1 Cost Model
      • 1.11.2.2 Crop Pattern
      • 1.11.2.3 Stress Pattern
      • 1.11.2.4 Labor Availability and Awareness
      • 1.11.2.5 Government Policies and Regulations
  • 1.12 Turkey
    • 1.12.1 Farm Size
      • 1.12.1.1 Farm Structure
    • 1.12.2 Farm Economics
      • 1.12.2.1 Cost Model
      • 1.12.2.2 Crop Pattern
      • 1.12.2.3 Stress Pattern
      • 1.12.2.4 Labor Availability and Awareness
      • 1.12.2.5 Government Policies and Regulations
  • 1.13 Ukraine
    • 1.13.1 Farm Size
      • 1.13.1.1 Farm Structure
    • 1.13.2 Farm Economics
      • 1.13.2.1 Cost Model
      • 1.13.2.2 Crop Pattern
      • 1.13.2.3 Stress Pattern
      • 1.13.2.4 Labor Availability and Awareness
      • 1.13.2.5 Government Policies and Regulations

2 Agriculture Customer Segmentation Market (by Farmer's Age Group)

  • 2.1 Technology Adoption Patterns by Farmer's Age Group
    • 2.1.1 Young Farmers (18-30 years)
      • 2.1.1.1 Challenges
      • 2.1.1.2 Opportunities
    • 2.1.2 Middle-Aged Farmers (31-50 years)
      • 2.1.2.1 Challenges
      • 2.1.2.2 Opportunities
    • 2.1.3 Older Farmers (51 years and above)
      • 2.1.3.1 Challenges
      • 2.1.3.2 Opportunities
  • 2.2 Impact of Age on Buying Behavior and Preferences
  • 2.3 Case Studies on Age-Based Technology Usage

3 Agriculture Customer Segmentation Market (by Farm Ownership)

  • 3.1 Types of Farms Ownerships
    • 3.1.1 Smallholder Farms
      • 3.1.1.1 Challenges
      • 3.1.1.2 Opportunities
    • 3.1.2 Family-Owned Farms
      • 3.1.2.1 Challenges
      • 3.1.2.2 Opportunities
    • 3.1.3 Corporate Farms
      • 3.1.3.1 Challenges
      • 3.1.3.2 Opportunities
    • 3.1.4 Cooperative Farms
      • 3.1.4.1 Challenges
      • 3.1.4.2 Opportunities
    • 3.1.5 Farm Ownership Influence on Investment in Smart Technologies

4 Agriculture Customer Segmentation Market (by Crop Type)

  • 4.1 Crop Type
    • 4.1.1 Technology Adoption (by Crop Type)
    • 4.1.2 Crop Type and its Impact on Smart Technology Use
    • 4.1.3 Regional Variations in Crop Technology Adoption

5 Conclusions and Recommendations

  • 5.1 Expansion of Agri-Tech Startups
  • 5.2 Recommendations for Targeted Marketing and Product Development
  • 5.3 Trends
    • 5.3.1 Increasing Demand for Organic Farming Practices
    • 5.3.2 Growing Focus on Climate-Resilient Farming Practices
  • 5.4 Opportunities
    • 5.4.1 Government Support and Subsidies
    • 5.4.2 Expansion in Emerging Economies

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources

List of Figures

  • Figure 1: Segmentation of Agriculture Customer Segmentation Market
  • Figure 2: Farmer's Age Group Impact on Agriculture Customer Segmentation Market
  • Figure 3: Farm Ownership Impact on Agriculture Customer Segmentation Market
  • Figure 4: Crop Type Impact on Agriculture Customer Segmentation Market
  • Figure 5: Farm Structure in the U.S.
  • Figure 6: Technology Adoption in U.S.
  • Figure 7: Share of Farm Expenditures (in %), by Category, 2023
  • Figure 8: Key Highlights of Cost Pattern of U.S. Farms, 2023
  • Figure 9: U.S. Total Farm Expenditure, (in $million) 2020-2023
  • Figure 10: Per Farm Average Annual Expenditures of Selected States in the U.S., 2023 ($/Farm)
  • Figure 11: Barley Production Percentage across U.S. States, 2022
  • Figure 12: Corn Production Percentage across U.S. States, 2022
  • Figure 13: Oats Production Percentage across U.S. States, 2022
  • Figure 14: Soybean Production across U.S. States, 2022
  • Figure 15: U.S. Biotic and Abiotic Stress Pattern
  • Figure 16: U.S. Labor Availability Metrics
  • Figure 17: Farm Structure in Canada
  • Figure 18: Technology Adoption in Canada
  • Figure 19: Share of Farm Expenditures (by Category), 2023
  • Figure 20: Canada Total Farm Expenditure ($ million), 2022-2023
  • Figure 21: Barley Production Percentage across Canadian States
  • Figure 22: Wheat Production Percentage across Canadian States
  • Figure 23: Soybean Production Percentage across Canadian States
  • Figure 24: Corn Production Percentage across Canadian States
  • Figure 25: Canada Biotic and Abiotic Stress Pattern
  • Figure 26: Canada Labor Availability Metrics
  • Figure 27: Farm Structure in Germany
  • Figure 28: Germany Labor Availability Metrics
  • Figure 29: Farm Structure in France
  • Figure 30: France Labor Availability Metrics
  • Figure 31: Farm Structure
  • Figure 32: Farm Structure in Italy
  • Figure 33: Percentage of Total Expenses in Italy, 2023
  • Figure 34: Italy Labor Availability Metrics
  • Figure 35: Farm Structure in Spain
  • Figure 36: Percentage of Annual Expenses in Spain, 2022
  • Figure 37: Spain Labor Availability Metrics
  • Figure 38: Farm Structure in Romania
  • Figure 39: Percentage of Annual Expenses in Romania
  • Figure 40: Farm Structure in China
  • Figure 41: Percentage of Total Expenses in China
  • Figure 42: List of Major Crops Grown in China
  • Figure 43: China Labor Availability Metrics
  • Figure 44: Farm Structure in Japan
  • Figure 45: Percentage of Total Expenses in Japan
  • Figure 46: List of Major Crops Grown in Japan
  • Figure 47: Japan Labor Availability Metrics
  • Figure 48: Farm Structure in Australia
  • Figure 49: Australia's Average Agriculture Production Cost
  • Figure 50: Australia Labor Availability Metrics
  • Figure 51: Farm Structure in India
  • Figure 52: Percentage Share of Public Expenditure on Agriculture in India
  • Figure 53: India Labor Availability Metrics
  • Figure 54: Farm Structure in Turkey
  • Figure 55: Percentage Share of Expenditure on Agriculture in Turkey
  • Figure 56: Turkey Labor Availability Metrics
  • Figure 57: Percentage Share of expenditure on agriculture in Ukraine
  • Figure 58: Ukraine Labor Availability Metrics
  • Figure 59: Empowering the Next Generation: Insights into Young Farmers in Agriculture
  • Figure 60: Case Study Highlighting the Contrasting Approaches of Younger and Older Farmers toward Technology Adoption
  • Figure 61: Challenges Faced by Smallholder Farms
  • Figure 62: Challenges Faced by Family-Owned Farms
  • Figure 63: Opportunities for Family-Owned Farms
  • Figure 64: Challenges Faced by Corporate Farm
  • Figure 65: Opportunities for Corporate Farms
  • Figure 66: Opportunities for Corporate Farms
  • Figure 67: Impact of Farm Ownership on Investment in Climate-Smart Agricultural Technologies in Ghana
  • Figure 68: Global Land Use (by Major Crop Type)
  • Figure 69: Growth of Organic Agricultural Land, in Million Hectares, 2018-2022
  • Figure 70: Global Distribution of Organic Areas, 2022
  • Figure 71: Deviation in Global Surface Temperature, in Degrees Celsius, 2013-2023
  • Figure 72: Global Agriculture Customer Segmentation Market: Research Methodology

List of Tables

  • Table 1: Country-Wise Analysis of Agriculture Customer Segmentation Market
  • Table 2: List of Labor Laws and Regulations
  • Table 3: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 4: List of Labor Laws and Regulations
  • Table 5: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 6: Technology Adoption in Germany
  • Table 7: Total Market Size for Tree Nuts, $Million
  • Table 8: Total Market Size for Wine, $Million
  • Table 9: Germany Biotic and Abiotic Stress Pattern
  • Table 10: List of Labor Laws and Regulations
  • Table 11: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 12: Technology Adoption in France
  • Table 13: France Biotic and Abiotic Stress Pattern
  • Table 14: List of Labor Laws and Regulations
  • Table 15: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 16: Technology Adoption in Italy
  • Table 17: List of Main Crops According to the Region
  • Table 18: Italy Biotic and Abiotic Stress Pattern
  • Table 19: List of Labor Laws and Regulations
  • Table 20: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 21: Technology Adoption in Spain
  • Table 22: List of Main Crops According to the Region
  • Table 23: Spain Biotic and Abiotic Stress Pattern
  • Table 24: List of Labor Laws and Regulations
  • Table 25: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 26: Technology Adoption in Romania
  • Table 27: Romania Biotic and Abiotic Stress Factors
  • Table 28: List of Labor Laws and Regulations
  • Table 29: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 30: Technology Adoption in China
  • Table 31: China Biotic and Abiotic Stress Pattern
  • Table 32: List of Labor Laws and Regulations
  • Table 33: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 34: Technology Adoption in Japan
  • Table 35: Japan Biotic and Abiotic Stress Pattern
  • Table 36: List of Labor Laws and Regulations
  • Table 37: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 38: Technology Adoption in Australia
  • Table 39: List of Major Crops Grown in Australia
  • Table 40: Australia Biotic and Abiotic Stress Pattern
  • Table 41: List of Labor Laws and Regulations
  • Table 42: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 43: Technology Adoption in India
  • Table 44: India's Average Agriculture Production Budget
  • Table 45: List of Major Crops Grown in India
  • Table 46: India Biotic and Abiotic Stress Pattern
  • Table 47: List of Labor Laws and Regulations
  • Table 48: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 49: Technology Adoption in Turkey
  • Table 50: List of Major Crops Grown in Turkey
  • Table 51: Turkey Biotic and Abiotic Stress Pattern
  • Table 52: List of Labor Laws and Regulations
  • Table 53: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 54: Farm Structure in Ukraine
  • Table 55: Technology Adoption in Ukraine
  • Table 56: List of Major Crops Grown in Ukraine
  • Table 57: Ukraine Biotic and Abiotic Stress Pattern
  • Table 58: Comprehensive Overview of Policies and Regulations Relevant to Agriculture
  • Table 59: Illustration of Technology Adoption Patterns by Farmer Age Group
  • Table 60: Opportunities for Smallholder Farms
  • Table 61: Opportunities for Technology Providers
  • Table 62: Regional Variations in Crop Technology Adoption for the Agriculture Customer Segmentation Market
  • Table 63: List of Some of the Agri-Tech Start-ups
  • Table 64: List of Targeted Customers and Product Types Involved in Smart Agriculture