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1896211

農業決策支援系統市場預測至2032年：按產品、診斷目標、通路、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球農業決策支援系統市場預計到 2025 年將達到 22.6 億美元，到 2032 年將達到 53.1 億美元，預測期內複合年成長率為 13%。

農業決策支援系統 (DSS) 是一種數位化工具，旨在幫助農民和農業相關企業做出明智、及時且數據驅動的決策。它們整合了多種資訊來源，包括天氣預報、土壤資料、作物模型、衛星影像和市場趨勢，分析現狀並提案最佳行動方案。透過將複雜數據簡化為清晰易懂的訊息，農業 DSS 平台能夠指導使用者進行作物選擇、灌溉計劃安排、病蟲害防治、施肥和資源分配。這些系統能夠實現更智慧的規劃和對不斷變化的農業環境的即時回應，從而提高生產力、降低風險、增強永續性並支持精密農業的發展。

慢性皮膚病發生率上升

農民越來越傾向於利用數據驅動的洞察來最佳化作物產量和資源利用。人工智慧、物聯網和衛星影像技術的進步使得即時監測土壤健康、天氣模式和作物狀況成為可能。各國政府和非政府組織正透過補貼和宣傳活動來推廣決策支援系統（DSS）的應用。相關企業正在將DSS融入精密農業實踐，以提高永續性和盈利。日益成長的糧食安全需求進一步凸顯了預測分析的重要性，從而推動了DSS的普及應用。

嚴格的監管和合規要求

農民和農業相關企業在將決策支援系統 (DSS) 的產出與當地環境和安全法規相銜接方面常常面臨挑戰。複雜的合規框架會增加成本並延緩系統的採用。中小企業難以達到認證標準，削弱了市場競爭力。農業政策的區域差異導致 DSS 的普及程度不一。對合規效益的認知不足會削弱人們對數位化解決方案的信任，並減緩其應用。

高活性配方創新

平台整合機器學習模型，以提高作物產量預測和資源分配最佳化。基於雲端的決策支援系統 (DSS) 解決方案提高了小規模農戶的使用便利性。與行動應用程式和物聯網感測器的整合增強了即時決策能力。農業技術Start-Ups透過開發針對當地農業條件量身定做的 DSS 解決方案來推動創新。全球對智慧農業投資的不斷增加正在加速其應用，並為 DSS 提供者拓展更多機會。

因產品誤用或自行決定而導致的事故風險

農民可能過度依賴未經農業工程師檢驗的自動化輸出結果。決策支援系統（DSS）結果的誤用會導致化學肥料、農藥和水資源的過度使用。訓練不足和使用者教育缺失會增加出錯的風險。監管機構對DSS農業決策的課責表示擔憂。演算法過程缺乏透明度會削弱信任，阻礙其應用，並妨礙市場實現完全可靠。

新冠疫情的感染疾病

新冠疫情期間，市場蓬勃發展，傳統供應鏈遭到破壞，農業領域的數位轉型加速。封鎖措施凸顯了遠端監控和預測分析對於維持農場正常運作的重要性。決策支援系統（DSS）平台積極回應，擴展基礎設施，並為農民提供行動優先的解決方案。各國政府大力推動數位農業舉措，以確保危機期間的糧食安全。即使在疫情結束後，結合實地經驗和DSS洞察的混合模式依然保持著強勁的發展勢頭。此次危機已將DSS確立為提升農業韌性的主流工具，並將其融入長期農業舉措之中。

預計在預測期內，診斷設備細分市場將佔據最大的市場佔有率。

由於土壤感測器和氣象站的日益普及，預計在預測期內，診斷設備領域將佔據最大的市場佔有率。這些工具能夠提供土壤濕度、養分含量和病蟲害活動等方面的實用資訊，有助於提高資源利用效率。物聯網技術的進步和感測器的微型化使得診斷設備更加經濟實惠且易於取得。農業相關企業正在將這些設備整合到精密農業實踐中，以提高生產力和永續性。各國政府和非政府組織正透過補貼和宣傳活動推廣以感測器為基礎的農業，進一步推動其普及應用。

預計在預測期內，皮膚科診所和遠端醫療夥伴關係領域將呈現最高的複合年成長率。

由於遠距農業平台的興起，皮膚科診所和遠端醫療夥伴關係領域預計將在預測期內實現最高成長率。這些平台正在擴大其服務範圍，惠及更多農民，並提升他們對數位化解決方案的信任度。決策支援系統 (DSS) 提供者與農業推廣服務機構之間的合作，正在擴大小規模農戶的覆蓋範圍。遠距農業平台能夠實現遠距諮詢，彌補傳統諮詢模式的不足。對檢驗的建議的需求不斷成長，正在增強人們對混合諮詢解決方案的信任。電子商務和行動技術的普及正在加速新興市場遠端農業服務的普及。

比最大的地區

預計北美將在預測期內佔據最大的市場佔有率，農民對決策支援系統（DSS）益處的認知不斷提高，鞏固了其長期領先地位。美國和加拿大憑藉著先進的數位基礎設施和對精密農業的大力投入，主導DSS的普及應用。大學和農業相關企業正將決策支援系統平台融入主流農業實踐，旨在提高產量和永續性。創業投資正在加速全部區域農業科技Start-Ups的創新。農民對數位工具的高度認知和投資意願，進一步鞏固了主導地位。訂閱模式和混合諮詢服務的整合，正在強化區域主導地位並提升可擴展性。

複合年均成長率最高的地區

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的都市化以及小規模農戶對價格合理的決策支援系統（DSS）平台日益成長的需求，這些平台能夠幫助他們更廣泛地覆蓋不同的農業領域。中國、印度、日本和韓國等國家正透過政府主導的智慧農業舉措推動DSS平台的應用。快速的都市化和不斷成長的中階收入正在推動對價格合理的DSS平台的需求。本地Start-Ups和全球公司正在擴展其行動優先的解決方案，以滿足該地區的農業需求。機構也擴大採用將DSS專業知識與傳統方法結合的混合模式。東南亞電子商務的蓬勃發展正在創造新的機遇，並進一步推動DSS的整合。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 產品分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球農業決策支援系統市場（按產品分類）

  • 診斷設備
  • 行動應用與軟體平台
  • 定期訂閱診斷套件
  • 綜合遠距皮膚科服務
  • 其他

6. 全球農業決策支援系統市場（依診斷目標分類）

  • 掉髮/頭髮稀疏
  • 頭皮健康
  • 髮質
  • 預防和生活方式相關診斷
  • 其他

7. 全球農業決策支援系統市場（按分銷管道分類）

  • 直接面對消費者 (D2C) 平台
  • 皮膚科診所與遠端醫療夥伴關係
  • 專業美容零售商
  • 網路市集
  • 其他

8. 全球農業決策支援系統市場（依最終用戶分類）

  • 千禧世代與Z世代
  • X世代
  • 嬰兒潮世代
  • 其他

9. 全球農業決策支援系統市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • 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.