查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1918490

作物规划与管理软体市场：按组件、部署模式、作物类型、农场规模、产品/服务、应用、销售管道和最终用户划分－2026-2032年全球预测

Crop Planning & Management Software Market by Component (Analytics, Crop Planning, Farm Monitoring), Deployment Mode (Cloud Based, On Premise), Crop Type, Farm Size, Offering, Application, Sales Channel, End User - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 187 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

2025 年作物规划和管理软体市场价值为 1.6247 亿美元，预计到 2026 年将成长至 1.8096 亿美元，年复合成长率为 9.79%，到 2032 年将达到 3.1258 亿美元。

关键市场统计数据
基准年 2025 1.6247亿美元
预计年份：2026年 1.8096亿美元
预测年份 2032 3.1258亿美元
复合年增长率 (%) 9.79%

本文策略性地介绍了整合作物规划和管理软体如何改变农场营运、永续性和商业决策。

农业的快速数位化已使作物规划和管理软体从小众的营运工具发展成为影响生产力、永续性和供应链韧性的策略资产。本文概述了该领域日益重要的作用，并重点介绍了整合软体平台如何实现精准农业、资源管理，以及促进农场运营和价值链中各相关人员之间的更紧密合作。随着农场和农业相关企业面临气候变迁、劳动力短缺和不断变化的监管要求等挑战，软体解决方案在日常管理营运和长期韧性规划中都发挥核心作用。

找出农业软体领域中能够加速应用并带来差异化竞争优势的技术、农艺和经营模式变革。

农业技术正经历一系列变革，重新定义整个产业的竞争优势。首先，向云端原生架构的转型正在加速农艺师、农场经理和供应链合作伙伴之间的协作。这不仅实现了即时资料共用和集中式分析，还减轻了本地IT部署的负担。因此，公共云端和私有云端选项越来越多地与本地部署并存，形成了一种混合环境，其中资料本地化、延迟和整合需求都会影响部署策略。

检验近期美国关税如何重塑农业技术领域的供应链策略、采购重点和供应商价值提案。

近期美国贸易政策引发的关税调整，加剧了全球农业技术供应链和筹资策略的复杂性。这些措施影响了感测器、闸道器和边缘运算设备等硬体依赖型解决方案的成本结构，而这些方案正是许多作物管理平台的基础。因此，依赖进口硬体和整合设备的企业正在重新评估筹资策略、供应商多元化和库存计划，以降低关税波动带来的风险。

详细的細項分析揭示了部署模型、组件架构、作物种类和使用者画像如何决定产品的适用性和商业化路径。

細項分析揭示了作物规划和管理软体领域商业性重点和创新方向的融合点。部署选择区分了云端基础模式和本地部署解决方案，其中云端选项进一步细分为优先考虑资料管治的私有云端产品和强调扩充性和广泛整合的公共云端平台。组件细分确定了核心功能支柱：分析、作物规划、农场监测、灌溉管理和资源管理。分析进一步细分为预测分析（预测潜在结果）和指示性分析（建议精准干预措施，从而实现闭合迴路营运改善）。

区域分析表明，美洲、欧洲、中东和非洲以及亚太地区各自需要不同的产品定位、合规要求和打入市场策略。

区域趋势正在塑造全球应用模式和竞争策略。在美洲，对精密农业的大力投资、活跃的私人资本活动以及成熟的商业化农业运营正在推动整合分析、田间感测器和供应链连接功能的平台的应用。强调与现有农业机械互通性并提供企业级服务的供应商更有可能获得大型农业公司和垂直整合供应商的支持。同时，美洲部分地区的中小型用户则更注重易用性、价格实惠以及在地化的农艺内容。

企业层面的动态因素解释了平台广度、分析深度、服务能力和伙伴关係网路如何创造竞争差异化并影响使用者采纳。

竞争格局由成熟的农业技术供应商、新兴软体专家和系统整合商组成，他们将平台功能与现场工程结合。主要企业凭藉广泛的组件整合、强大的分析能力和深入的专业服务脱颖而出，这些优势能够支援现场部署和持续的咨询支援。一些供应商追求横向扩充性，将其平台定位为整合中心，聚合感测器资料、卫星影像和第三方农艺模型。另一些供应商则专注于垂直专业化，为特定作物或供应链环节提供深厚的领域专业知识。

为供应商和农业相关企业领导者提供切实可行的策略建议，以加速解决方案的采用，降低贸易波动风险，并在不同的农业环境中推广应用。

产业领导者应优先考虑一系列切实可行的倡议，将洞察转化为竞争优势，并推动不同客户群采用相关技术。首先，透过提供灵活的消费模式，例如公共云端可扩展性、适用于敏感资料环境的私有云端蓝图，以减少决策延迟并增强操作人员的信心。第三，针对谷物和豆类、纤维作物、水果和蔬菜以及油籽和豆类等作物的独特农艺週期，开发作物专属内容和工作流程，从而加快最终用户实现价值的速度。

我们采用综合混合方法研究途径，结合相关人员访谈、技术检验和案例研究分析，以支持我们的实践发现。

本分析的调查方法融合了定性和定量技术，以确保获得可靠且可操作的见解。主要工作包括对平台供应商、系统整合商、农艺师和采购相关人员进行结构化访谈，以收集有关技术能力、实施经验和服务模式的第一手资料。辅助研究则整合了技术文件、法规指南和农艺文献，以检验特定作物系统的功能需求，并绘製不同地区实施过程中遇到的限制因素。

简明扼要的结论总结了为什么整合、分析和服务主导的采用将定义软体主导农业转型的下一阶段。

总之，作物规划和管理软体正从辅助工具转变为影响生产力、永续性和供应链韧性的策略能力。能够将模组化、硬体无关的平台与强大的分析功能和专业服务相结合的供应商，将更有能力服务于不同规模和地理的农场用户群体。实施方案的选择、组件深度、作物特定的工作流程以及通路策略的相互作用，将决定哪些解决方案能够规模化，哪些解决方案只能局限于小众市场。

目录

第一章：序言

第二章调查方法

  • 研究设计
  • 研究框架
  • 市场规模预测
  • 数据三角测量
  • 调查结果
  • 调查前提
  • 调查限制

第三章执行摘要

  • 首席主管观点
  • 市场规模和成长趋势
  • 2025年市占率分析
  • FPNV定位矩阵，2025
  • 新的商机
  • 下一代经营模式
  • 产业蓝图

第四章 市场概览

  • 产业生态系与价值链分析
  • 波特五力分析
  • PESTEL 分析
  • 市场展望
  • 上市策略

第五章 市场洞察

  • 消费者洞察与终端用户观点
  • 消费者体验基准
  • 机会地图
  • 分销通路分析
  • 价格趋势分析
  • 监理合规和标准框架
  • ESG与永续性分析
  • 中断和风险情景
  • 投资报酬率和成本效益分析

第六章：美国关税的累积影响，2025年

第七章：人工智慧的累积影响，2025年

8. 按组件分類的作物规划和管理软体市场

  • 分析
    • 预测分析
    • 预测分析
  • 作物规划
  • 农场监测
  • 灌溉管理
  • 资源管理

9. 依部署模式分類的作物规划与管理软体市场

  • 基于云端的
    • 私有云端
    • 公共云端
  • 本地部署

第十章 依作物类型分類的作物规划和管理软体市场

  • 谷类和谷类食品
    • 玉米
    • 米
    • 小麦
  • 纤维作物
    • 棉布
    • 黄麻
  • 水果和蔬菜
    • 黄瓜
    • 马铃薯
    • 番茄
  • 油籽/豆类
    • 鹰嘴豆
    • 扁豆
    • 大豆

11. 依农场规模分類的作物规划与管理软体市场

  • 大规模
  • 中号
  • 小规模

12. 依产品/服务分類的作物规划与管理软体市场

  • 平台
  • 专业服务

第十三章 依应用分類的作物规划与管理软体市场

  • 作物规划
  • 疾病管理
  • 资源最佳化
  • 供应链管理
  • 收益率预测

第十四章 作物规划与管理软体市场（依销售管道划分）

  • 直销
  • 网路市集
  • 经销商

第十五章 依最终用户分類的作物规划与管理软体市场

  • 农产品
  • 农民
  • 政府机构
  • 研究所

16. 各地区作物规划与管理软体市场

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 欧洲、中东和非洲
    • 欧洲
    • 中东
    • 非洲
  • 亚太地区

第十七章 作物规划与管理软体市场（依组别划分）

  • ASEAN
  • GCC
  • EU
  • BRICS
  • G7
  • NATO

18. 各国作物规划与管理软体市场

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国

第十九章美国作物规划与管理软体市场

20. 中国作物规划与管理软体市场

第21章 竞争情势

  • 市场集中度分析，2025年
    • 浓度比（CR）
    • 赫芬达尔-赫希曼指数 (HHI)
  • 近期趋势及影响分析，2025 年
  • 2025年产品系列分析
  • 基准分析，2025 年
  • Ag Leader Technology, Inc.
  • AGCO Corporation
  • AgJunction, Inc.
  • Agroop Cooperativa Agricola, CRL
  • Agworld Pty Ltd
  • Auravant SA
  • Bayer AG
  • Bushel, Inc.
  • CNH Industrial NV
  • Conservis Corporation
  • Corteva Agriscience Inc.
  • CropX Technologies Ltd.
  • Deere & Company
  • Deveron Corp.
  • Farmers Edge Inc.
  • FieldView Solutions Inc.
  • Gamaya SA
  • Granular, Inc.
  • Iteris, Inc.
  • KisanHub Ltd.
  • Taranis Visual Ltd.
  • Topcon Corporation
  • Trimble Inc.
  • Xarvio Digital Farming Solutions
Product Code: MRR-AE420CB15589

The Crop Planning & Management Software Market was valued at USD 162.47 million in 2025 and is projected to grow to USD 180.96 million in 2026, with a CAGR of 9.79%, reaching USD 312.58 million by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 162.47 million
Estimated Year [2026] USD 180.96 million
Forecast Year [2032] USD 312.58 million
CAGR (%) 9.79%

A strategic introduction to how integrated crop planning and management software is reshaping farm operations, sustainability, and enterprise decision-making

The rapid digitalization of agriculture has elevated crop planning and management software from a niche operational tool to a strategic asset influencing productivity, sustainability, and supply chain resilience. This introduction outlines the discipline's expanding remit, emphasizing how integrated software platforms are enabling agronomic precision, resource stewardship, and improved stakeholder coordination across farm operations and value chains. As farms and agribusinesses confront climatic variability, labor constraints, and shifting regulatory expectations, software solutions are becoming central to both day-to-day management and long-term resilience planning.

Importantly, adoption is not uniform; it is shaped by deployment choices, component capabilities, crop profiles, and organizational scale. Cloud-hosted platforms are enabling broader participation by reducing upfront infrastructure requirements, whereas on-premise solutions remain favored where data sovereignty and offline reliability are paramount. The functional architecture spans analytics, crop planning modules, monitoring, irrigation control, and resource management. Together, these capabilities provide a foundation for predictive and prescriptive decision-making that supports yield improvement and cost reduction. Transitioning from pilot projects to enterprise-wide rollouts requires careful alignment of technology with agronomic practice, governance, and user training. This introduction frames the full analysis by highlighting these interdependencies and setting expectations for stakeholders seeking to harness software as a lever for operational excellence.

Identifying the technological, agronomic, and business-model shifts that are driving accelerated adoption and competitive differentiation in agricultural software

Agricultural technology experiences a sequence of transformative shifts that are redefining competitive advantage across the sector. First, a transition toward cloud-native architectures is accelerating collaboration among agronomists, farm managers, and supply chain partners, enabling real-time data sharing and centralized analytics while reducing the burden of local IT provisioning. As a result, public and private cloud options increasingly coexist with on-premise deployments, creating a hybrid landscape where data localization, latency, and integration needs influence deployment strategy.

Second, analytics have evolved from descriptive dashboards to advanced predictive and prescriptive models that support nuanced crop planning and resource allocation. Predictive analytics identify likely outcomes based on historical and sensor-derived data, while prescriptive analytics recommend optimal actions, closing the loop between insight and operational execution. Third, crop-specific capabilities are gaining prominence; platforms tuned for cereals and grains, fiber crops, fruit and vegetable systems, or oilseeds and pulses deliver contextualized agronomic rules and workflows that drive faster adoption. Fourth, the expanding role of professional services alongside platform offerings is enabling deeper integration, from sensor network design to change management. Collectively, these shifts underscore a maturing ecosystem in which interoperability, domain-specific intelligence, and service-enabled adoption determine which solutions scale across diverse farm sizes and end users.

Examining how recent United States tariff measures are reshaping supply chain strategies, procurement priorities, and vendor value propositions across agricultural technology

Recent tariff adjustments originating from United States trade policy have introduced a layer of complexity to global agricultural technology supply chains and procurement strategies. These measures influence the cost structure for hardware-dependent solutions, including sensors, gateways, and edge compute devices that underpin many crop management platforms. Consequently, organizations that depend on imported hardware or integrated appliances are reassessing sourcing strategies, supplier diversification, and inventory planning to mitigate exposure to tariff volatility.

In response, several vendors and system integrators are adapting their value propositions. Some are increasing emphasis on software-only subscription tiers and cloud-delivered services that minimize hardware dependencies, while others are exploring local assembly and alternative component sourcing to control landed costs. For international buyers and multinational agribusinesses, the tariffs have intensified the importance of contractual flexibility related to delivery terms, warranty coverage, and total cost of ownership assessments. Meanwhile, procurement teams are placing greater weight on supplier resilience, lead-time commitments, and the ability to provide remote commissioning and support. These adaptations are leading to a more nuanced vendor evaluation process where trade policy risk, logistical agility, and post-sale servicing capabilities are considered as critical as functional fit.

Deep segmentation analysis revealing how deployment models, component architectures, crop varieties, and user profiles determine product fit and commercialization pathways

Segmentation reveals where commercial focus and innovation are converging within the crop planning and management software landscape. Deployment choices separate cloud-based models from on-premise solutions, with cloud options further differentiated by private cloud offerings that prioritize data governance and public cloud platforms that emphasize scalability and broad integration. Component segmentation identifies core functional pillars-analytics, crop planning, farm monitoring, irrigation management, and resource management-with analytics subdividing into predictive analytics that forecast potential outcomes and prescriptive analytics that recommend precise interventions, thereby enabling closed-loop operational improvements.

Crop type segmentation clarifies solution fit across cereals and grains, fiber crops, fruits and vegetables, and oilseeds and pulses. Within cereals and grains, dedicated workflows for maize, rice, and wheat reflect crop-specific planting windows, input regimes, and harvest logistics. Fiber crops such as cotton and jute require modules that account for distinct pest profiles and fiber quality parameters. Fruit and vegetable systems, spanning cucumber, potato, and tomato, demand tight integration between microclimate monitoring and post-harvest handling, while oilseeds and pulses including chickpea, lentil, and soybean often emphasize rotation planning and soil nutrient management. Farm size segmentation distinguishes the needs of large, medium, and small operations, where scale influences investment tolerance, integration complexity, and the role of advisory services. Application-focused segmentation covers crop planning, disease management, resource optimization, supply chain management, and yield prediction, each representing discrete workflows that tie back to the platform's component architecture. Finally, offering-based segmentation divides platform capabilities from professional services, and sales channel segmentation differentiates direct engagements, online marketplaces, and reseller networks. End-user categories-agribusiness, farmers, government agencies, and research institutes-each impose distinct procurement cycles, data governance expectations, and success metrics, underscoring the necessity for vendors to align product roadmaps with user-specific value drivers.

Regional intelligence demonstrating how the Americas, Europe Middle East & Africa, and Asia-Pacific each demand distinct product positioning, compliance, and go-to-market strategies

Regional dynamics are shaping adoption patterns and competitive strategies across the globe. In the Americas, strong investment in precision agriculture, robust private capital activity, and established commercial farming operations are driving adoption of integrated platforms that combine analytics, field sensors, and supply chain connectivity. Vendors that emphasize interoperability with legacy machinery and offer enterprise-grade services tend to find traction among large agribusinesses and vertically integrated suppliers. Meanwhile, medium and smallholder adopters in some territories of the Americas prioritize ease of use, affordability, and localized agronomic content.

Across Europe, Middle East & Africa, regulatory priorities, sustainability mandates, and a diversity of farming systems create a complex environment where interoperability, compliance reporting, and multisource data integration are critical. In many parts of Europe, stringent environmental regulations and subsidy frameworks are prompting government agencies and commercial farms to adopt solutions that support traceability and nutrient management. The Middle East and Africa present opportunities driven by irrigation efficiency needs and public-sector modernization, though infrastructure constraints and fragmented distribution networks require tailored go-to-market strategies. In the Asia-Pacific region, a broad spectrum of farm scales-from dense smallholder systems to highly mechanized commercial farms-demands solutions that are both scalable and adaptable. High-value horticulture and rice systems often lead in technology uptake, while supply chain digitization in export-oriented sectors is catalyzing platform adoption. Across all regions, localization of agronomic algorithms, language support, and channel partnerships remain decisive factors for commercial acceptance.

Company-level dynamics explaining how platform breadth, analytics depth, service capabilities, and partnership networks create competitive differentiation and influence adoption

The competitive landscape blends established agritech vendors, emergent software specialists, and systems integrators that combine platform capabilities with field engineering. Leading companies differentiate through breadth of component integration, strength of analytics, and depth of professional services that enable field deployment and ongoing advisory support. Some vendors pursue horizontal extensibility, positioning their platforms as integration hubs that aggregate sensor data, satellite imagery, and third-party agronomic models. Others focus on vertical specialization, offering deep domain functionality for specific crop types or supply-chain segments.

Strategic partnerships and channel models are increasingly important, as firms collaborate with equipment manufacturers, input suppliers, and distribution networks to embed software into broader value propositions. Companies that excel at translating predictive and prescriptive analytics into actionable field interventions, and that couple those capabilities with robust support services, are able to accelerate adoption among risk-averse buyers. Additionally, firms that invest in configurable workflows and modular architectures reduce implementation friction across different farm sizes and regulatory environments. Intellectual property in agronomic models, user experience design, and APIs for third-party integration provide further differentiation, as does a demonstrated ability to support compliance reporting and traceability requirements for commercial buyers.

Practical strategic recommendations for vendors and agribusiness leaders to accelerate adoption, reduce risk from trade shifts, and scale solutions across varied farm contexts

Industry leaders should prioritize a set of actionable initiatives to convert insight into competitive advantage and catalyze adoption across diverse customer segments. First, align product roadmaps with deployment preferences by offering flexible consumption models that include public cloud scalability, private cloud options for sensitive data environments, and on-premise configurations where offline reliability is required. Second, invest in analytics that not only predict outcomes but also prescribe clear, farm-ready interventions; integrate prescriptive modules with automated workflows to reduce decision latency and increase operator confidence. Third, develop crop-specific content and workflows that address the unique agronomic cycles of cereals and grains, fiber crops, fruits and vegetables, and oilseeds and pulses, thereby shortening time-to-value for end users.

Fourth, strengthen service capabilities to support farm onboarding, sensor calibration, and agronomic consulting, recognizing that professional services can be a key adoption accelerator, especially for larger operations. Fifth, diversify supply chains and design hardware-agnostic software tiers to mitigate trade-policy and tariff-related risks while preserving functional integrity. Sixth, localize offerings for regional needs by adapting language, regulatory reporting, and extension content to the Americas, Europe, Middle East & Africa, and Asia-Pacific contexts. Finally, cultivate partnerships with equipment OEMs, input suppliers, and distribution networks to embed software into broader value chains and to leverage existing sales channels, thereby increasing reach among both large agribusinesses and fragmented smallholder segments.

Comprehensive, mixed-methods research approach combining stakeholder interviews, technical validation, and case study analysis to underpin actionable insights

The research methodology underpinning this analysis integrates qualitative and quantitative techniques to ensure robust, actionable findings. Primary engagement included structured interviews with platform vendors, systems integrators, agronomists, and procurement stakeholders to capture firsthand perspectives on technology capabilities, deployment experiences, and service models. Secondary research synthesized technical documentation, regulatory guidance, and agronomic literature to validate functional requirements for specific crop systems and to map deployment constraints across regions.

Analytical approaches applied comparative feature mapping across deployment modes, component capabilities, and application areas to reveal gaps and opportunities in product offerings. Case studies were constructed from verified implementations to illustrate pathways to scale and common impediments such as integration complexity, data governance concerns, and training requirements. Where appropriate, sensitivity analyses were used to stress-test vendor strategies against supply chain disruptions and policy shifts. Throughout the process, triangulation between interviews, technical review, and implementation evidence supported a conservative, use-case-driven interpretation of findings. This mixed-methods approach ensures that recommendations are grounded in operational realities and are relevant to both technical and executive stakeholders.

A concise conclusion synthesizing why integration, analytics, and service-led deployment will determine the next phase of software-driven agricultural transformation

In conclusion, crop planning and management software is transitioning from an auxiliary toolset to a strategic capability that influences productivity, sustainability, and supply chain resilience. Vendors that balance modular, hardware-agnostic platforms with strong analytics and professional services will be best positioned to serve diverse user groups across varying farm sizes and regional contexts. The interplay among deployment choices, component depth, crop-specific workflows, and channel strategies will determine which solutions scale and which remain niche.

Stakeholders should therefore approach procurement and partnership decisions with an emphasis on interoperability, local relevance, and service-enabled adoption. By focusing on prescriptive outcomes, resilient supply chains, and regionally tailored implementations, organizations can reduce operational risk and extract measurable value from digital agriculture investments. The narrative moving forward will be defined by those who convert data into timely, trusted actions in the field, and who do so in a manner that aligns with the agronomic realities and regulatory expectations of the regions they serve.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Definition
  • 1.3. Market Segmentation & Coverage
  • 1.4. Years Considered for the Study
  • 1.5. Currency Considered for the Study
  • 1.6. Language Considered for the Study
  • 1.7. Key Stakeholders

2. Research Methodology

  • 2.1. Introduction
  • 2.2. Research Design
    • 2.2.1. Primary Research
    • 2.2.2. Secondary Research
  • 2.3. Research Framework
    • 2.3.1. Qualitative Analysis
    • 2.3.2. Quantitative Analysis
  • 2.4. Market Size Estimation
    • 2.4.1. Top-Down Approach
    • 2.4.2. Bottom-Up Approach
  • 2.5. Data Triangulation
  • 2.6. Research Outcomes
  • 2.7. Research Assumptions
  • 2.8. Research Limitations

3. Executive Summary

  • 3.1. Introduction
  • 3.2. CXO Perspective
  • 3.3. Market Size & Growth Trends
  • 3.4. Market Share Analysis, 2025
  • 3.5. FPNV Positioning Matrix, 2025
  • 3.6. New Revenue Opportunities
  • 3.7. Next-Generation Business Models
  • 3.8. Industry Roadmap

4. Market Overview

  • 4.1. Introduction
  • 4.2. Industry Ecosystem & Value Chain Analysis
    • 4.2.1. Supply-Side Analysis
    • 4.2.2. Demand-Side Analysis
    • 4.2.3. Stakeholder Analysis
  • 4.3. Porter's Five Forces Analysis
  • 4.4. PESTLE Analysis
  • 4.5. Market Outlook
    • 4.5.1. Near-Term Market Outlook (0-2 Years)
    • 4.5.2. Medium-Term Market Outlook (3-5 Years)
    • 4.5.3. Long-Term Market Outlook (5-10 Years)
  • 4.6. Go-to-Market Strategy

5. Market Insights

  • 5.1. Consumer Insights & End-User Perspective
  • 5.2. Consumer Experience Benchmarking
  • 5.3. Opportunity Mapping
  • 5.4. Distribution Channel Analysis
  • 5.5. Pricing Trend Analysis
  • 5.6. Regulatory Compliance & Standards Framework
  • 5.7. ESG & Sustainability Analysis
  • 5.8. Disruption & Risk Scenarios
  • 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Crop Planning & Management Software Market, by Component

  • 8.1. Analytics
    • 8.1.1. Predictive Analytics
    • 8.1.2. Prescriptive Analytics
  • 8.2. Crop Planning
  • 8.3. Farm Monitoring
  • 8.4. Irrigation Management
  • 8.5. Resource Management

9. Crop Planning & Management Software Market, by Deployment Mode

  • 9.1. Cloud Based
    • 9.1.1. Private Cloud
    • 9.1.2. Public Cloud
  • 9.2. On Premise

10. Crop Planning & Management Software Market, by Crop Type

  • 10.1. Cereals & Grains
    • 10.1.1. Maize
    • 10.1.2. Rice
    • 10.1.3. Wheat
  • 10.2. Fiber Crops
    • 10.2.1. Cotton
    • 10.2.2. Jute
  • 10.3. Fruits & Vegetables
    • 10.3.1. Cucumber
    • 10.3.2. Potato
    • 10.3.3. Tomato
  • 10.4. Oilseeds & Pulses
    • 10.4.1. Chickpea
    • 10.4.2. Lentil
    • 10.4.3. Soybean

11. Crop Planning & Management Software Market, by Farm Size

  • 11.1. Large
  • 11.2. Medium
  • 11.3. Small

12. Crop Planning & Management Software Market, by Offering

  • 12.1. Platform
  • 12.2. Professional Services

13. Crop Planning & Management Software Market, by Application

  • 13.1. Crop Planning
  • 13.2. Disease Management
  • 13.3. Resource Optimization
  • 13.4. Supply Chain Management
  • 13.5. Yield Prediction

14. Crop Planning & Management Software Market, by Sales Channel

  • 14.1. Direct
  • 14.2. Online Marketplace
  • 14.3. Reseller

15. Crop Planning & Management Software Market, by End User

  • 15.1. Agribusiness
  • 15.2. Farmers
  • 15.3. Government Agencies
  • 15.4. Research Institutes

16. Crop Planning & Management Software Market, by Region

  • 16.1. Americas
    • 16.1.1. North America
    • 16.1.2. Latin America
  • 16.2. Europe, Middle East & Africa
    • 16.2.1. Europe
    • 16.2.2. Middle East
    • 16.2.3. Africa
  • 16.3. Asia-Pacific

17. Crop Planning & Management Software Market, by Group

  • 17.1. ASEAN
  • 17.2. GCC
  • 17.3. European Union
  • 17.4. BRICS
  • 17.5. G7
  • 17.6. NATO

18. Crop Planning & Management Software Market, by Country

  • 18.1. United States
  • 18.2. Canada
  • 18.3. Mexico
  • 18.4. Brazil
  • 18.5. United Kingdom
  • 18.6. Germany
  • 18.7. France
  • 18.8. Russia
  • 18.9. Italy
  • 18.10. Spain
  • 18.11. China
  • 18.12. India
  • 18.13. Japan
  • 18.14. Australia
  • 18.15. South Korea

19. United States Crop Planning & Management Software Market

20. China Crop Planning & Management Software Market

21. Competitive Landscape

  • 21.1. Market Concentration Analysis, 2025
    • 21.1.1. Concentration Ratio (CR)
    • 21.1.2. Herfindahl Hirschman Index (HHI)
  • 21.2. Recent Developments & Impact Analysis, 2025
  • 21.3. Product Portfolio Analysis, 2025
  • 21.4. Benchmarking Analysis, 2025
  • 21.5. Ag Leader Technology, Inc.
  • 21.6. AGCO Corporation
  • 21.7. AgJunction, Inc.
  • 21.8. Agroop Cooperativa Agricola, C.R.L.
  • 21.9. Agworld Pty Ltd
  • 21.10. Auravant S.A.
  • 21.11. Bayer AG
  • 21.12. Bushel, Inc.
  • 21.13. CNH Industrial N.V.
  • 21.14. Conservis Corporation
  • 21.15. Corteva Agriscience Inc.
  • 21.16. CropX Technologies Ltd.
  • 21.17. Deere & Company
  • 21.18. Deveron Corp.
  • 21.19. Farmers Edge Inc.
  • 21.20. FieldView Solutions Inc.
  • 21.21. Gamaya SA
  • 21.22. Granular, Inc.
  • 21.23. Iteris, Inc.
  • 21.24. KisanHub Ltd.
  • 21.25. Taranis Visual Ltd.
  • 21.26. Topcon Corporation
  • 21.27. Trimble Inc.
  • 21.28. Xarvio Digital Farming Solutions

LIST OF FIGURES

  • FIGURE 1. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 2. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 3. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET, FPNV POSITIONING MATRIX, 2025
  • FIGURE 4. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 5. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 6. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 7. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 9. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 11. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 13. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 14. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 15. UNITED STATES CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 16. CHINA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, 2018-2032 (USD MILLION)

LIST OF TABLES

  • TABLE 1. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 2. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PREDICTIVE ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM MONITORING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM MONITORING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM MONITORING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY IRRIGATION MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRIVATE CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRIVATE CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PRIVATE CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PUBLIC CLOUD, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PUBLIC CLOUD, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PUBLIC CLOUD, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ON PREMISE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ON PREMISE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MAIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MAIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 46. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MAIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 47. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RICE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 48. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RICE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 49. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RICE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 50. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY WHEAT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 51. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY WHEAT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 52. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY WHEAT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 53. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 54. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 55. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 56. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 57. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COTTON, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 58. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COTTON, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 59. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COTTON, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 60. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY JUTE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 61. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY JUTE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 62. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY JUTE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 63. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 64. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 65. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 66. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 67. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CUCUMBER, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 68. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CUCUMBER, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 69. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CUCUMBER, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 70. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY POTATO, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 71. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY POTATO, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 72. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY POTATO, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 73. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY TOMATO, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 74. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY TOMATO, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 75. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY TOMATO, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 76. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 77. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 78. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 79. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 80. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CHICKPEA, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 81. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CHICKPEA, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 82. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CHICKPEA, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 83. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LENTIL, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 84. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LENTIL, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 85. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LENTIL, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 86. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SOYBEAN, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 87. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SOYBEAN, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 88. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SOYBEAN, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 89. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 90. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LARGE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 91. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LARGE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 92. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY LARGE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 93. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MEDIUM, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 94. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MEDIUM, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 95. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY MEDIUM, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 96. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SMALL, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 97. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SMALL, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 98. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SMALL, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 99. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 100. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PLATFORM, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 101. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PLATFORM, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 102. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PLATFORM, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 103. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 104. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PROFESSIONAL SERVICES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 105. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY PROFESSIONAL SERVICES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 106. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 107. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 108. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 109. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP PLANNING, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 110. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DISEASE MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 111. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DISEASE MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 112. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DISEASE MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 113. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE OPTIMIZATION, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 114. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE OPTIMIZATION, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 115. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESOURCE OPTIMIZATION, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 116. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 117. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 118. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 119. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY YIELD PREDICTION, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 120. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY YIELD PREDICTION, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 121. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY YIELD PREDICTION, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 122. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 123. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DIRECT, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 124. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DIRECT, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 125. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DIRECT, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 126. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ONLINE MARKETPLACE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 127. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ONLINE MARKETPLACE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 128. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ONLINE MARKETPLACE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 129. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESELLER, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 130. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESELLER, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 131. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESELLER, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 132. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 133. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY AGRIBUSINESS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 134. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY AGRIBUSINESS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 135. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY AGRIBUSINESS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 136. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARMERS, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 137. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARMERS, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 138. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARMERS, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 139. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY GOVERNMENT AGENCIES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 140. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY GOVERNMENT AGENCIES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 141. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY GOVERNMENT AGENCIES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 142. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESEARCH INSTITUTES, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 143. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESEARCH INSTITUTES, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 144. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY RESEARCH INSTITUTES, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 145. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 146. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 147. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 148. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 149. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 150. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 151. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 152. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 153. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 154. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 155. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 156. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 157. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 158. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 159. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 160. AMERICAS CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 161. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 162. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 163. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 164. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 165. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 166. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 167. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 168. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 169. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 170. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 171. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 172. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 173. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 174. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 175. NORTH AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 176. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 177. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 178. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 179. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 180. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 181. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 182. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 183. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 184. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 185. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 186. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 187. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 188. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 189. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 190. LATIN AMERICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 191. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SUBREGION, 2018-2032 (USD MILLION)
  • TABLE 192. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 193. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 194. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 195. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 196. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 197. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 198. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 199. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 200. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 201. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 202. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 203. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 204. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 205. EUROPE, MIDDLE EAST & AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 206. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 207. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 208. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 209. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 210. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 211. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 212. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 213. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 214. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 215. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 216. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 217. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 218. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 219. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 220. EUROPE CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 221. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 222. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 223. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 224. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 225. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 226. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 227. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 228. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 229. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 230. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 231. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 232. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 233. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 234. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 235. MIDDLE EAST CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 236. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 237. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 238. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 239. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 240. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 241. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 242. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 243. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 244. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 245. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 246. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 247. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 248. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 249. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 250. AFRICA CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 251. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 252. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 253. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 254. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 255. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 256. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 257. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 258. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 259. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 260. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 261. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 262. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 263. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 264. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 265. ASIA-PACIFIC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 266. GLOBAL CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 267. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 268. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 269. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 270. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 271. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CLOUD BASED, 2018-2032 (USD MILLION)
  • TABLE 272. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CROP TYPE, 2018-2032 (USD MILLION)
  • TABLE 273. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CEREALS & GRAINS, 2018-2032 (USD MILLION)
  • TABLE 274. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FIBER CROPS, 2018-2032 (USD MILLION)
  • TABLE 275. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FRUITS & VEGETABLES, 2018-2032 (USD MILLION)
  • TABLE 276. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OILSEEDS & PULSES, 2018-2032 (USD MILLION)
  • TABLE 277. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY FARM SIZE, 2018-2032 (USD MILLION)
  • TABLE 278. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY OFFERING, 2018-2032 (USD MILLION)
  • TABLE 279. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 280. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY SALES CHANNEL, 2018-2032 (USD MILLION)
  • TABLE 281. ASEAN CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 282. GCC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 283. GCC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY COMPONENT, 2018-2032 (USD MILLION)
  • TABLE 284. GCC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY ANALYTICS, 2018-2032 (USD MILLION)
  • TABLE 285. GCC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2018-2032 (USD MILLION)
  • TABLE 286. GCC CROP PLANNING & MANAGEMENT SOFTWARE MARKET SIZE, BY CL