查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1896211

农业决策支援系统市场预测至2032年：按产品、诊断目标、通路、最终用户和地区分類的全球分析

Decision Support Systems for Agriculture Market Forecasts to 2032 - Global Analysis By Product, Diagnostic Focus, Distribution Channel, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球农业决策支援系统市场预计到 2025 年将达到 22.6 亿美元，到 2032 年将达到 53.1 亿美元，预测期内复合年增长率为 13%。

农业决策支援系统 (DSS) 是一种数位化工具，旨在帮助农民和农业相关企业做出明智、及时且数据驱动的决策。它们整合了多种资讯来源，包括天气预报、土壤资料、作物模型、卫星影像和市场趋势，分析现状并提案最佳行动方案。透过将复杂数据简化为清晰易懂的讯息，农业 DSS 平台能够指导使用者进行作物选择、灌溉计划安排、病虫害防治、施肥和资源分配。这些系统能够实现更智慧的规划和对不断变化的农业环境的即时回应，从而提高生产力、降低风险、增强永续性并支持精密农业的发展。

慢性皮肤病发生率上升

农民越来越倾向于利用数据驱动的洞察来优化作物产量和资源利用。人工智慧、物联网和卫星影像技术的进步使得即时监测土壤健康、天气模式和作物状况成为可能。各国政府和非政府组织正透过补贴和宣传活动来推广决策支援系统（DSS）的应用。相关企业正在将DSS融入精密农业实践，以提高永续性和盈利。日益增长的粮食安全需求进一步凸显了预测分析的重要性，从而推动了DSS的普及应用。

严格的监管和合规要求

农民和农业相关企业在将决策支援系统 (DSS) 的产出与当地环境和安全法规相衔接方面常常面临挑战。复杂的合规框架会增加成本并延缓系统的采用。中小企业难以达到认证标准，削弱了市场竞争力。农业政策的区域差异导致 DSS 的普及程度不一。对合规效益的认知不足会削弱人们对数位化解决方案的信任，并减缓其应用。

高活性配方创新

平台整合机器学习模型，以提高作物产量预测和资源分配最佳化。基于云端的决策支援系统 (DSS) 解决方案提高了小规模农户的使用便利性。与行动应用程式和物联网感测器的整合增强了即时决策能力。农业技术Start-Ups透过开发针对当地农业条件量身定制的 DSS 解决方案来推动创新。全球对智慧农业投资的不断增加正在加速其应用，并为 DSS 提供者拓展更多机会。

因产品误用或自行决定而导致的事故风险

农民可能过度依赖未经农业工程师检验的自动化输出结果。决策支援系统（DSS）结果的误用会导致化学肥料、农药和水资源的过度使用。训练不足和使用者教育缺失会增加出错的风险。监管机构对DSS农业决策的课责表示担忧。演算法过程缺乏透明度会削弱信任，阻碍其应用，并妨碍市场实现完全可靠。

新冠疫情的感染疾病

新冠疫情期间，市场蓬勃发展，传统供应链遭到破坏，农业领域的数位转型加速。封锁措施凸显了远端监控和预测分析对于维持农场正常运作的重要性。决策支援系统（DSS）平台积极回应，扩展基础设施，并为农民提供行动优先的解决方案。各国政府大力推动数位农业倡议，以确保危机期间的粮食安全。即使在疫情结束后，结合实地经验和DSS洞察的混合模式依然保持着强劲的发展势头。此次危机已将DSS确立为提升农业韧性的主流工具，并将其融入长期农业倡议之中。

预计在预测期内，诊断设备细分市场将占据最大的市场份额。

由于土壤感测器和气象站的日益普及，预计在预测期内，诊断设备领域将占据最大的市场份额。这些工具能够提供土壤湿度、养分含量和病虫害活动等方面的实用资讯，有助于提高资源利用效率。物联网技术的进步和感测器的微型化使得诊断设备更加经济实惠且易于取得。农业相关企业正在将这些设备整合到精密农业实践中，以提高生产力和永续性。各国政府和非政府组织正透过补贴和宣传活动推广以感测器为基础的农业，进一步推动其普及应用。

预计在预测期内，皮肤科诊所和远端医疗伙伴关係领域将呈现最高的复合年增长率。

由于远距农业平台的兴起，皮肤科诊所和远端医疗伙伴关係领域预计将在预测期内实现最高成长率。这些平台正在扩大其服务范围，惠及更多农民，并提升他们对数位化解决方案的信任度。决策支援系统 (DSS) 提供者与农业推广服务机构之间的合作，正在扩大小规模农户的覆盖范围。远距农业平台能够实现远距咨询，弥补传统咨询模式的不足。对检验的建议的需求不断增长，正在增强人们对混合咨询解决方案的信任。电子商务和行动技术的普及正在加速新兴市场远端农业服务的普及。

比最大的地区

预计北美将在预测期内占据最大的市场份额，农民对决策支援系统（DSS）益处的认知不断提高，巩固了其长期领先地位。美国和加拿大凭藉着先进的数位基础设施和对精密农业的大力投入，主导DSS的普及应用。大学和农业相关企业正将决策支援系统平台融入主流农业实践，旨在提高产量和永续性。创业投资正在加速全部区域农业科技Start-Ups的创新。农民对数位工具的高度认知和投资意愿，进一步巩固了主导地位。订阅模式和混合咨询服务的整合，正在强化区域主导地位并提升可扩展性。

复合年均成长率最高的地区

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于快速的都市化以及小规模农户对价格合理的决策支援系统（DSS）平台日益增长的需求，这些平台能够帮助他们更广泛地覆盖不同的农业领域。中国、印度、日本和韩国等国家正透过政府主导的智慧农业倡议推动DSS平台的应用。快速的都市化和不断增长的中阶收入正在推动对价格合理的DSS平台的需求。本地Start-Ups和全球公司正在扩展其行动优先的解决方案，以满足该地区的农业需求。机构也越来越多地采用将DSS专业知识与传统方法结合的混合模式。东南亚电子商务的蓬勃发展正在创造新的机会，并进一步推动DSS的整合。

免费客製化服务

购买此报告的客户可享有以下免费自订选项之一：

  • 公司概况
    • 最多三家新增市场参与企业进行全面分析
    • 主要参与企业（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场规模、估算、预测和复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 从产品系列、地域覆盖范围和策略联盟等方面对主要参与企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球农业决策支援系统市场（按产品划分）

  • 诊断设备
  • 行动应用与软体平台
  • 定期订阅诊断套件
  • 综合远距皮肤科服务
  • 其他的

6. 全球农业决策支援系统市场（依诊断目标划分）

  • 掉髮/头髮稀疏
  • 头皮健康
  • 髮质
  • 预防和生活方式相关诊断
  • 其他的

7. 全球农业决策支援系统市场（按分销管道划分）

  • 直接面向消费者 (D2C) 平台
  • 皮肤科诊所与远端医疗伙伴关係
  • 专业美容零售商
  • 网路市集
  • 其他的

8. 全球农业决策支援系统市场（依最终用户划分）

  • 千禧世代与Z世代
  • X世代
  • 婴儿潮世代
  • 其他的

9. 全球农业决策支援系统市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • Siemens AG
  • IBM Corporation
  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • Trimble Inc.
  • Deere & Company
  • AG Leader Technology
  • Agrivi
  • Granular
  • Climate LLC
  • Prospera Technologies
  • Taranis
  • CropX Technologies
  • Farmers Edge Inc.
Product Code: SMRC32899

According to Stratistics MRC, the Global Decision Support Systems for Agriculture Market is accounted for $2.26 billion in 2025 and is expected to reach $5.31 billion by 2032 growing at a CAGR of 13% during the forecast period. A Decision Support System (DSS) for agriculture is a digital tool that helps farmers and agribusinesses make informed, timely, and data-driven decisions. It integrates information from multiple sources-such as weather forecasts, soil data, crop models, satellite imagery, and market trends-to analyze conditions and recommend optimal actions. By simplifying complex data into clear insights, agricultural DSS platforms guide users on crop selection, irrigation scheduling, pest and disease management, fertilization, and resource allocation. These systems enhance productivity, reduce risks, improve sustainability, and support precision farming by enabling smarter planning and real-time responses to changing agricultural environments.

Market Dynamics:

Driver:

Rising prevalence of chronic skin conditions

Farmers are increasingly seeking data-driven insights to optimize crop yields and resource utilization. Advances in AI, IoT, and satellite imaging are enabling real-time monitoring of soil health, weather patterns, and crop performance. Governments and NGOs are promoting DSS adoption through subsidies and awareness programs. Agribusinesses are integrating DSS into precision farming practices to improve sustainability and profitability. Rising demand for food security is reinforcing the importance of predictive analytics, thereby strengthening DSS adoption.

Restraint:

Stringent regulatory and compliance requirements

Farmers and agribusinesses often face challenges in aligning DSS outputs with local environmental and safety regulations. Complex compliance frameworks increase costs and slow down deployment. Smaller players struggle to meet certification standards, reducing competitiveness. Regional variations in agricultural policies create inconsistencies in DSS adoption. Limited awareness of compliance benefits weakens trust in digital solutions, thereby slowing penetration.

Opportunity:

Innovation in advanced active formulations

Platforms are increasingly integrating machine learning models to forecast crop yields and optimize resource allocation. Cloud-based DSS solutions are enhancing accessibility for smallholder farmers. Integration with mobile apps and IoT sensors is reinforcing real-time decision-making capabilities. Agritech startups are driving innovation by tailoring DSS solutions to local farming conditions. Rising global investments in smart agriculture are accelerating adoption, thereby expanding opportunities for DSS providers.

Threat:

Risk of product misuse or self-medication mishaps

Farmers may rely excessively on automated outputs without validating with agronomists. Misapplication of DSS insights can lead to overuse of fertilizers, pesticides, or water resources. Inconsistent training and lack of user education increase the risk of errors. Regulatory bodies are raising concerns about accountability in DSS-driven farming decisions. Limited transparency in algorithmic processes weakens trust, thereby reducing adoption and hampering the market from achieving full credibility.

Covid-19 Impact:

The market experienced a surge due to Covid-19, which disrupted traditional supply chains and accelerated digital adoption in agriculture. Lockdowns highlighted the need for remote monitoring and predictive analytics to sustain farming operations. DSS platforms responded by scaling infrastructure and offering mobile-first solutions for farmers. Governments promoted digital agriculture initiatives to ensure food security during the crisis. Post-pandemic, hybrid models combining field expertise with DSS insights are sustaining momentum. The crisis normalized DSS as a mainstream tool for resilience, thereby embedding it into long-term agricultural strategies.

The diagnostic devices segment is expected to be the largest during the forecast period

The diagnostic devices segment is expected to account for the largest market share during the forecast period due to rising adoption of soil sensors and weather stations. These tools provide actionable insights into soil moisture, nutrient levels, and pest activity, thereby improving resource efficiency. Advances in IoT and sensor miniaturization are making diagnostic devices more affordable and accessible. Agribusinesses are integrating these devices into precision farming practices to enhance productivity and sustainability. Governments and NGOs are promoting sensor-based agriculture through subsidies and awareness programs, thereby reinforcing adoption.

The dermatology clinics & telehealth partnerships segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the dermatology clinics & telehealth partnerships segment is predicted to witness the highest growth rate owing to increasing tele-agriculture platforms that enhance farmer outreach and trust in digital solutions. Collaborations between DSS providers and agricultural extension services are expanding outreach to smallholder farmers. Tele-agriculture platforms are enabling remote consultations, thereby bridging gaps in traditional advisory models. Rising demand for validated recommendations is reinforcing trust in hybrid advisory solutions. E-commerce and mobile penetration are accelerating access to tele-agriculture services across emerging markets.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to high farmer awareness of DSS benefits that reinforce long-term leadership. The U.S. and Canada are leading adoption through advanced digital infrastructure and strong institutional investments in precision agriculture. Universities and agribusinesses are embedding DSS platforms into mainstream farming practices to improve yields and sustainability. Venture capital funding is accelerating innovation in agritech startups across the region. High farmer awareness and willingness to invest in digital tools reinforce market leadership. Integration of subscription models and hybrid advisory services is consolidating regional dominance, thereby strengthening scalability.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR owing to rapid urbanization and rising smallholder demand for affordable DSS platforms that expand access across diverse agricultural segments. Countries such as China, India, Japan, and South Korea are driving adoption through government-led smart farming initiatives. Rapid urbanization and rising middle-class incomes are expanding demand for affordable DSS platforms. Local startups and global players are scaling mobile-first solutions tailored to regional farming needs. Institutions are increasingly adopting hybrid models that combine DSS insights with traditional practices. E-commerce growth in Southeast Asia is creating new opportunities for DSS integration, thereby reinforcing momentum.

Key players in the market

Some of the key players in Decision Support Systems for Agriculture Market include Siemens AG, IBM Corporation, SAP SE, Oracle Corporation, Microsoft Corporation, Trimble Inc., Deere & Company, AG Leader Technology, Agrivi, Granular (Corteva Agriscience), Climate LLC, Prospera Technologies, Taranis, CropX Technologies and Farmers Edge Inc.

Key Developments:

In May 2024, SAP and Bayer announced an expanded strategic partnership to accelerate digital farming and sustainable agriculture. This collaboration integrates SAP's cloud solutions and analytics capabilities with Bayer's agricultural data platforms, aiming to create a unified decision support system for farmers.

In November 2023, Siemens announced a strategic collaboration with Bosch, BASF, and others on the "Carbon Neutral Agriculture" (ACN) project. This initiative focuses on creating a digital ecosystem to track and certify the carbon footprint of agricultural products. Siemens provides its Farmtech expertise and IoT solutions, integrating with Bosch's sensors and BASF's xarvio(R) digital farming platform.

Products Covered:

  • Diagnostic Devices
  • Mobile Apps & Software Platforms
  • Subscription-Based Diagnostic Kits
  • Integrated Tele-Dermatology Services
  • Other Products

Diagnostic Focuses Covered:

  • Hair Loss & Thinning
  • Scalp Health
  • Hair Quality
  • Preventive & Lifestyle-Linked Diagnostics
  • Other Diagnostic Focuses

Distribution Channels Covered:

  • Direct-to-Consumer (D2C) Platforms
  • Dermatology Clinics & Telehealth Partnerships
  • Specialty Beauty Retailers
  • Online Marketplaces
  • Other Distribution Channels

End Users Covered:

  • Millennials & Gen Z
  • Gen X
  • Baby Boomers
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • 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 2024, 2025, 2026, 2028, and 2032
  • 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
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • 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 Product Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Decision Support Systems for Agriculture Market, By Product

  • 5.1 Introduction
  • 5.2 Diagnostic Devices
  • 5.3 Mobile Apps & Software Platforms
  • 5.4 Subscription-Based Diagnostic Kits
  • 5.5 Integrated Tele-Dermatology Services
  • 5.6 Other Products

6 Global Decision Support Systems for Agriculture Market, By Diagnostic Focus

  • 6.1 Introduction
  • 6.2 Hair Loss & Thinning
  • 6.3 Scalp Health
  • 6.4 Hair Quality
  • 6.5 Preventive & Lifestyle-Linked Diagnostics
  • 6.6 Other Diagnostic Focuss

7 Global Decision Support Systems for Agriculture Market, By Distribution Channel

  • 7.1 Introduction
  • 7.2 Direct-to-Consumer (D2C) Platforms
  • 7.3 Dermatology Clinics & Telehealth Partnerships
  • 7.4 Specialty Beauty Retailers
  • 7.5 Online Marketplaces
  • 7.6 Other Distribution Channels

8 Global Decision Support Systems for Agriculture Market, By End User

  • 8.1 Introduction
  • 8.2 Millennials & Gen Z
  • 8.3 Gen X
  • 8.4 Baby Boomers
  • 8.5 Other End Users

9 Global Decision Support Systems for Agriculture Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Siemens AG
  • 11.2 IBM Corporation
  • 11.3 SAP SE
  • 11.4 Oracle Corporation
  • 11.5 Microsoft Corporation
  • 11.6 Trimble Inc.
  • 11.7 Deere & Company
  • 11.8 AG Leader Technology
  • 11.9 Agrivi
  • 11.10 Granular
  • 11.11 Climate LLC
  • 11.12 Prospera Technologies
  • 11.13 Taranis
  • 11.14 CropX Technologies
  • 11.15 Farmers Edge Inc.

List of Tables

  • Table 1 Global Decision Support Systems for Agriculture Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Decision Support Systems for Agriculture Market Outlook, By Product (2024-2032) ($MN)
  • Table 3 Global Decision Support Systems for Agriculture Market Outlook, By Personalized Serums & Creams (2024-2032) ($MN)
  • Table 4 Global Decision Support Systems for Agriculture Market Outlook, By Customized Cleansers & Toners (2024-2032) ($MN)
  • Table 5 Global Decision Support Systems for Agriculture Market Outlook, By Tailored Sunscreens (2024-2032) ($MN)
  • Table 6 Global Decision Support Systems for Agriculture Market Outlook, By Subscription-Based Skincare Kits (2024-2032) ($MN)
  • Table 7 Global Decision Support Systems for Agriculture Market Outlook, By Other Products (2024-2032) ($MN)
  • Table 8 Global Decision Support Systems for Agriculture Market Outlook, By Personalization Approach (2024-2032) ($MN)
  • Table 9 Global Decision Support Systems for Agriculture Market Outlook, By AI/ML Algorithm-Based (2024-2032) ($MN)
  • Table 10 Global Decision Support Systems for Agriculture Market Outlook, By DNA-Based Personalization (2024-2032) ($MN)
  • Table 11 Global Decision Support Systems for Agriculture Market Outlook, By Microbiome-Based Personalization (2024-2032) ($MN)
  • Table 12 Global Decision Support Systems for Agriculture Market Outlook, By Lifestyle & Environmental Data Integration (2024-2032) ($MN)
  • Table 13 Global Decision Support Systems for Agriculture Market Outlook, By Other Personalization Approaches (2024-2032) ($MN)
  • Table 14 Global Decision Support Systems for Agriculture Market Outlook, By Distribution Channel (2024-2032) ($MN)
  • Table 15 Global Decision Support Systems for Agriculture Market Outlook, By Direct-to-Consumer (D2C) Platforms (2024-2032) ($MN)
  • Table 16 Global Decision Support Systems for Agriculture Market Outlook, By Dermatology Clinics & Telehealth Partnerships (2024-2032) ($MN)
  • Table 17 Global Decision Support Systems for Agriculture Market Outlook, By Specialty Beauty Retailers (2024-2032) ($MN)
  • Table 18 Global Decision Support Systems for Agriculture Market Outlook, By Online Marketplaces (2024-2032) ($MN)
  • Table 19 Global Decision Support Systems for Agriculture Market Outlook, By Other Distribution Channels (2024-2032) ($MN)
  • Table 20 Global Decision Support Systems for Agriculture Market Outlook, By End User (2024-2032) ($MN)
  • Table 21 Global Decision Support Systems for Agriculture Market Outlook, By Millennials & Gen Z (2024-2032) ($MN)
  • Table 22 Global Decision Support Systems for Agriculture Market Outlook, By Gen X (2024-2032) ($MN)
  • Table 23 Global Decision Support Systems for Agriculture Market Outlook, By Baby Boomers (2024-2032) ($MN)
  • Table 24 Global Decision Support Systems for Agriculture Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.