查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
亚太地区智慧作物市场（按应用、设备、系统、软体和国家划分）分析与预测（2025-2035 年）
市场调查报告书
商品编码
1847087

亚太地区智慧作物市场（按应用、设备、系统、软体和国家划分）分析与预测（2025-2035 年）

Asia-Pacific Smart Oil Crops Market: Focus on Application, Product, and Country Analysis - Analysis and Forecast, 2025-2035
出版日期: | 出版商: BIS Research | 英文 78 Pages | 商品交期: 1-5个工作天内

价格

预计到 2035 年，亚太地区智慧作物市场规模将达到 5.657 亿美元，高于 2024 年的 1.265 亿美元，2025-2035 年预测期内的复合年增长率为 14.57%。

随着农业技术不断发展以应对气候变迁、资源稀缺以及对提高作物生产力日益增长的需求等挑战，亚太地区智慧作物市场正获得显着发展动能。从 2024 年起，精密农业、自动化和物联网解决方案的采用将推动全部区域产量显着提高并降低投入成本。关键创新包括人工智慧拖拉机和智慧灌溉系统，使农民能够根据即时田间数据优化种植、施肥和用水。在中国、印度、日本和韩国等国家，製造商和经销商正在部署人工智慧整合机械和基于物联网的灌溉工具，以提高营运效率，同时在干旱易发地区节约用水。

主要市场统计数据
预测期 2025-2035
2025年评估 1.452亿美元
2035年的预测 5.657亿美元
复合年增长率 14.57%

随着永续农业方法日益受到重视，人工智慧驱动的作物管理解决方案有助于优化决策、有效利用资源并改善环境效益。随着智慧农业系统在亚太地区的持续扩展，它们有望在加强粮食安全、减少环境影响和促进作物种植韧性方面发挥关键作用。这一转变将意味着整个全部区域将转向更有效率、技术主导和永续的农业。

市场介绍

随着技术创新和永续性措施不断改变全部区域的农业实践，亚太地区智慧作物市场正经历强劲成长。大豆、油菜籽和向日葵等作物越来越多地采用精密农业、人工智慧主导的分析技术、物联网灌溉系统和自动化机械进行种植，使农民能够优化种植、施肥和收穫。这些技术有助于提高产量、减少资源消耗并提升整体营运效率。

永续、非基因改造和健康植物油的需求日益增长，推动了中国、日本、印度和韩国等国对其的采用。该地区各国政府正在推广气候智慧型、节水型和数位农业计划，进一步加速了智慧技术在作物种植中的应用。消费者对健康和环境影响的认识也鼓励农民采用先进的作物管理解决方案，以确保永续生产。

日本、韩国等主要市场凭藉其完善的农业基础设施和强大的科学研究能力，在智慧作物技术的应用方面处于领先地位，而印度、印尼、越南等新兴市场则逐步采用人工智慧、机器人和智慧灌溉系统，以提高生产力并减少对环境的影响。

随着精密农业、永续实践和数位创新继续推动全部区域作物种植的效率、弹性和永续性，亚太地区智慧作物市场有望大幅扩张。

市场区隔

细分 1：按应用

  • 大豆
  • 向日葵
  • 油菜籽
  • 其他的

细分2：按设备

  • 联结机
  • 播种机
  • 吊具
  • 收割机

细分3：依系统

  • 导航和导引系统
  • 田间感测和产量监测系统
  • 智慧灌溉系统

细分四：依软体

  • 农场管理和决策支援软体
  • 遥感探测和处方软体

细分5：按地区

  • 亚太地区

亚太地区智能油籽作物市场趋势、驱动因素与挑战

市场趋势

  • 采用精密农业：越来越多地使用人工智慧、物联网和 GPS 机械来优化种植、施肥和收穫。
  • 智慧灌溉系统：节水灌溉技术越来越多地被采用，以节省干旱地区的资源。
  • 自动化农业：人工智慧拖拉机和机器人将提高效率并减少对劳动力的依赖。
  • 永续作物种植：增加非作物、作物和环境永续作物的种植。
  • 数位化作物管理：使用人工智慧平台进行即时监控、产量预测和病虫害管理。

市场驱动因素

  • 粮食需求不断增加：亚太国家人口成长，食用油消费量增加。
  • 政府措施：促进气候智能型农业、精密农业和永续作物生产的政策。
  • 技术进步：透过引进人工智慧、物联网和智慧机械，提高作物产量、品质和资源效率。
  • 注重永续性：人们对环境影响的认识不断提高，推动着人们采用环保的种植方法。
  • 缓解水资源短缺：透过智慧灌溉技术节约用水并优化资源利用。

市场挑战

  • 初始投资高：人工智慧主导的机械、物联网设备和自动化的成本限制了其采用，尤其是对小农户而言。
  • 基础设施限制：农村地区缺乏可靠的电力、网路连线和农场级技术的采用。
  • 气候变迁：影响作物产量和稳定性的不可预测的天气模式。
  • 监管多样性：亚太各国不同的农业政策带来了合规挑战。
  • 认识有限：新兴市场的农民可能缺乏智慧农业技术的知识和训练。

产品/创新策略：本报告对亚太地区智慧油籽作物市场的应用、设备、系统和软体进行了深入分析。报告涵盖了亚太地区智慧油籽作物市场的各个细分领域，包括设备、系统和软体，并深入分析了其不断发展的技术和技术优势。设备领域包括拖拉机、播种机、喷雾器和收割机，重点介绍了基于高效油籽种植应用需求的设计趋势。系统领域包括导航和导引系统、田间感测和产量监测系统以及智慧灌溉系统，使相关人员能够开发节能解决方案，从而优化作物管理和资源利用。软体领域包括农场管理和决策支援软体以及遥感探测和配方软体，使产品团队能够识别创新机会并调整策略，以满足智慧油籽作物领域的性能、整合和成本效益需求。

成长/行销策略：亚太地区智慧作物市场正在快速发展，主要企业专注于整合智慧技术以提高油籽产量。各公司正在透过采用精密农业、人工智慧主导的作物管理和智慧灌溉系统来扩展其能力，以提高产量、改善永续性并减少环境影响。本报告追踪这些发展动态，并深入探讨各公司如何利用基于物联网的监测、遥感探测和自动化机械等创新技术来优化农业营运。本报告将帮助行销团队识别高成长机会，使其价值提案与农民需求保持一致，并製定有针对性的打入市场策略，这些策略将考虑区域农业趋势、政府倡议和市场的技术准备。

竞争策略：报告深入分析了竞争格局，并根据主要企业的产品供应、创新管道、伙伴关係和扩张计划进行了分析。竞争基准化分析使读者能够评估各公司在产品类型和应用领域的定位。市场竞争也有望帮助读者了解尚未开发的收益空间。

目录

执行摘要

第一章市场：产业展望

  • 趋势
    • 感知种子：田间从根部到油料的即时讯息
    • 群体机器人与微剂量：重新定义油籽种植农学
  • 专利分析
  • 监管和标准格局
  • 市场动态
    • 市场驱动因素
    • 市场挑战
    • 市场机会
  • 案例研究
  • 技术蓝图与采用分析

第二章 区域

  • 区域摘要
  • 亚太地区
    • 区域概况
    • 市场成长动力
    • 成长抑制因素
    • 中国
    • 印度
    • 印尼
    • 马来西亚
    • 澳洲
    • 其他的

3. 市场 - 竞争基准化分析与公司简介

  • Topcon Corporation
  • KUBOTA Corporation
  • Jain Irrigation Systems Ltd.

第四章调查方法

Product Code: AGA3339SS

This report can be delivered in 2 working days.

Introduction to Asia-Pacific Smart Oil Crops Market

The Asia-Pacific smart oil crops market is projected to reach $565.7 million by 2035 from $126.5 million in 2024, growing at a CAGR of 14.57% during the forecast period 2025-2035. The APAC smart oil crops market is gaining significant momentum as agricultural technologies evolve to address challenges such as climate change, resource scarcity, and the increasing demand for higher crop productivity. Since 2024, the adoption of precision agriculture, automation, and IoT-enabled solutions has notably improved yields and lowered input costs across the region. Key innovations include AI-driven tractors and smart irrigation systems, allowing farmers to optimize planting, fertilization, and water usage based on real-time field data. In countries like China, India, Japan, and South Korea, manufacturers and distributors are rolling out AI-integrated machinery and IoT-based irrigation tools to conserve water in drought-prone areas while enhancing operational efficiency.

KEY MARKET STATISTICS
Forecast Period2025 - 2035
2025 Evaluation$145.2 Million
2035 Forecast$565.7 Million
CAGR14.57%

There is a growing focus on sustainable farming practices, with AI-powered crop management solutions supporting better decision-making, efficient resource utilization, and improved environmental outcomes. As smart farming systems continue to expand across APAC, they are expected to play a pivotal role in strengthening food security, reducing environmental impact, and promoting resilient oil crop cultivation. This transformation marks a shift toward more efficient, technology-driven, and sustainable agriculture across the region.

Market Introduction

The APAC smart oil crops market is experiencing strong growth as technological innovations and sustainability initiatives transform agricultural practices across the region. Crops such as soybean, rapeseed, and sunflower are increasingly being cultivated using precision farming, AI-driven analytics, IoT-enabled irrigation systems, and automated machinery, enabling farmers to optimize planting, nutrient application, and harvesting. These technologies help increase yields, reduce resource consumption, and improve overall operational efficiency.

Rising demand for sustainable, non-GMO, and health-oriented vegetable oils is driving adoption in countries like China, Japan, India, and South Korea. Governments in the region are promoting climate-smart agriculture, water-efficient farming, and digital farming initiatives, which further accelerates the integration of smart technologies in oil crop cultivation. Consumer awareness about health and environmental impact is also encouraging producers to implement advanced crop management solutions to ensure sustainable production.

Leading markets such as Japan and South Korea are at the forefront of adopting smart oil crop technologies, supported by robust agricultural infrastructure and strong research capabilities. Emerging markets like India, Indonesia, and Vietnam are gradually incorporating AI, robotics, and smart irrigation systems to enhance productivity and reduce environmental impact.

The APAC smart oil crops market is poised for significant expansion as precision agriculture, sustainable practices, and digital innovation continue to drive efficiency, resilience, and sustainability in oil crop cultivation throughout the region.

Market Segmentation:

Segmentation 1: by Application

  • Soybean
  • Sunflower
  • Rapeseed (Canola)
  • Others

Segmentation 2: by Equipment

  • Tractors
  • Planters
  • Sprayers
  • Harvesters

Segmentation 3: by Systems

  • Navigation and Guidance Systems
  • Field Sensing and Harvest Monitoring Systems
  • Smart Irrigation Systems

Segmentation 4: by Software

  • Farm Management and Decision Support Software
  • Remote Sensing and Prescription Software

Segmentation 5: by Region

  • Asia-Pacific

APAC Smart Oil Crops Market Trends, Drivers and Challenges

Market Trends

  • Precision Agriculture Adoption: Increasing use of AI, IoT, and GPS-enabled machinery for optimized planting, fertilization, and harvesting.
  • Smart Irrigation Systems: Growing implementation of water-efficient irrigation technologies to conserve resources in drought-prone areas.
  • Automation in Farming: AI-driven tractors and robotics improving operational efficiency and reducing labor dependency.
  • Sustainable Crop Practices: Rising cultivation of non-GMO, organic, and environmentally sustainable oil crops.
  • Digital Crop Management: Use of AI-powered platforms for real-time monitoring, yield prediction, and pest/disease management.

Market Drivers

  • Rising Food Demand: Growing population and increasing consumption of edible oils across APAC countries.
  • Government Initiatives: Policies promoting climate-smart agriculture, precision farming, and sustainable crop production.
  • Technological Advancements: Deployment of AI, IoT, and smart machinery enhancing crop yield, quality, and resource efficiency.
  • Sustainability Focus: Growing awareness of environmental impact driving adoption of eco-friendly cultivation methods.
  • Water Scarcity Mitigation: Smart irrigation technologies helping to conserve water and optimize resource usage.

Market Challenges

  • High Initial Investment: Cost of AI-driven machinery, IoT devices, and automation limits adoption, especially for small farms.
  • Infrastructure Limitations: Lack of reliable electricity, internet connectivity, and farm-level technology adoption in rural areas.
  • Climate Variability: Unpredictable weather patterns affecting crop yield and consistency.
  • Regulatory Variability: Diverse agricultural policies across APAC countries create compliance challenges.
  • Limited Awareness: Farmers in emerging markets may lack knowledge or training on smart farming technologies.

How can this report add value to an organization?

Product/Innovation Strategy: This report provides a detailed analysis of the APAC smart oil crops market segmented by application, equipment, systems, and software. It covers various segments within the APAC smart oil crops market, including equipment, systems, and software, providing insights into its evolving technologies and technical advantages. The equipment segment, comprising tractors, planters, sprayers, and harvesters, highlights design trends based on application-specific requirements for efficient oilseed farming. The systems segment, which encompasses navigation and guidance systems, field sensing and harvest monitoring systems, and smart irrigation systems, enables stakeholders to develop energy-efficient solutions that optimize crop management and resource utilization. The software segment, comprising farm management and decision support software, as well as remote sensing and prescription software, enables product teams to identify opportunities for innovation and adapt strategies to meet the performance, integration, and cost-efficiency demands in the smart oil crops sector.

Growth/Marketing Strategy: The APAC smart oil crops market is evolving rapidly, with key players focusing on integrating smart technologies to enhance oilseed production. Companies are expanding their capabilities by adopting precision farming, AI-driven crop management, and smart irrigation systems to increase yields, improve sustainability, and reduce environmental impact. This report tracks these developments, offering insights into how companies are leveraging innovations such as IoT-based monitoring, remote sensing, and automated machinery to optimize farming operations. It aids marketing teams in identifying high-growth opportunities, aligning value propositions with farmer needs, and creating targeted go-to-market strategies that consider regional agricultural trends, government initiatives, and the market's technological readiness.

Competitive Strategy: A thorough competitive landscape is provided, profiling leading players based on their product offerings, innovation pipelines, partnerships, and expansion plans. Competitive benchmarking enables readers to evaluate how companies are positioned across product types and application areas. collaborations, is expected to aid the reader in understanding the untapped revenue pockets in the market.

Table of Contents

Executive Summary

Scope and Definition

1 Market: Industry Outlook

  • 1.1 Trends
    • 1.1.1 Sensing the Seed: Real-Time Root-to-Oil Intelligence in the Field
    • 1.1.2 Swarm Robotics and Micro-Dosing: Redefining Agronomy in Oilseed Farming
  • 1.2 Patent Analysis
    • 1.2.1 Patent Filing Trend (by Number of Patents, Country, and Company)
  • 1.3 Regulatory and Standard Landscape
  • 1.4 Market Dynamics
    • 1.4.1 Market Drivers
      • 1.4.1.1 Yield-Per-Input Pressure Fueling Data-First Oil Crop Strategies
      • 1.4.1.2 Biofuel and Export Demands Accelerating Smart Oilseed Adoption
      • 1.4.1.3 Sustainability Mandates Turning Data into a Compliance Tool
    • 1.4.2 Market Challenges
      • 1.4.2.1 ROI Uncertainty among Mid-Sized Growers
      • 1.4.2.2 Lack of Standardization Delaying AI Precision in Oil Crops
    • 1.4.3 Market Opportunities
      • 1.4.3.1 Specialized Precision Toolkits for Non-Row Oil Crops and Intercropping Systems
      • 1.4.3.2 Edge-AI Crop Intelligence Hubs for Remote and Smallholder Oil Crop Farms
      • 1.4.3.3 Four Strategic Dimensions of Edge-AI Crop Intelligence Hubs in Smart Oil Crop Production
  • 1.5 Case Study
    • 1.5.1 Felda Ventures and MPOB - Autopilot Tractors for Oil Palm in Malaysia
    • 1.5.2 SOPA and Farmonaut - Satellite-AI for Soybean Yield in India
  • 1.6 Technology Roadmap and Adoption Analysis

2 Region

  • 2.1 Regional Summary
  • 2.2 Asia-Pacific
    • 2.2.1 Regional Overview
    • 2.2.2 Driving Factors for Market Growth
    • 2.2.3 Factors Challenging the Market
      • 2.2.3.1 Application
      • 2.2.3.2 Product
    • 2.2.4 China
      • 2.2.4.1 Application
      • 2.2.4.2 Product
    • 2.2.5 India
      • 2.2.5.1 Application
      • 2.2.5.2 Product
    • 2.2.6 Indonesia
      • 2.2.6.1 Application
      • 2.2.6.2 Product
    • 2.2.7 Malaysia
      • 2.2.7.1 Application
      • 2.2.7.2 Product
    • 2.2.8 Australia
      • 2.2.8.1 Application
      • 2.2.8.2 Product
    • 2.2.9 Rest-of-Asia-Pacific
      • 2.2.9.1 Application
      • 2.2.9.2 Product

3 Markets - Competitive Benchmarking & Company Profiles

  • 3.1 Topcon Corporation
    • 3.1.1 Overview
    • 3.1.2 Top Products/Product Portfolio
    • 3.1.3 Top Competitors
    • 3.1.4 Target Customers
    • 3.1.5 Key Personal
    • 3.1.6 Analyst View
    • 3.1.7 Market Share, 2024
  • 3.2 KUBOTA Corporation
    • 3.2.1 Overview
    • 3.2.2 Top Products/Product Portfolio
    • 3.2.3 Top Competitors
    • 3.2.4 Target Customers
    • 3.2.5 Key Personal
    • 3.2.6 Analyst View
    • 3.2.7 Market Share, 2024
  • 3.3 Jain Irrigation Systems Ltd.
    • 3.3.1 Overview
    • 3.3.2 Top Products/Product Portfolio
    • 3.3.3 Top Competitors
    • 3.3.4 Target Customers
    • 3.3.5 Key Personal
    • 3.3.6 Analyst View
    • 3.3.7 Market Share, 2024

4 Research Methodology

  • 4.1 Data Sources
    • 4.1.1 Primary Data Sources
    • 4.1.2 Secondary Data Sources
    • 4.1.3 Data Triangulation
  • 4.2 Market Estimation and Forecast

List of Figures

  • Figure 1: Asia-Pacific Smart Oil Crops Market (by Scenario), $Million, 2025, 2030, and 2035
  • Figure 2: Asia-Pacific Smart Oil Crops Market, 2024, 2025, and 2035
  • Figure 3: Market Snapshot, 2024
  • Figure 4: Smart Oil Crops Market, $Million, 2024 and 2035
  • Figure 5: Asia-Pacific Smart Oil Crops Market (by Application), $Million, 2024, 2030, and 2035
  • Figure 6: Asia-Pacific Smart Oil Crops Market (by Equipment), $Million, 2024, 2030, and 2035
  • Figure 7: Asia-Pacific Smart Oil Crops Market (by Systems), $Million, 2024, 2030, and 2035
  • Figure 8: Asia-Pacific Smart Oil Crops Market (by Software), $Million, 2024, 2030, and 2035
  • Figure 9: Patent Filing (by Company)
  • Figure 10: Patent Filing (by Country)
  • Figure 11: Key Factors Driving Yield-Per-Input Efficiency in Data-Driven Oil Crop Farming
  • Figure 12: Turning Data into a Compliance Tool: A Key Driver for Sustainability in the Smart Oil Crops Market
  • Figure 13: Six Key Advantages of Precision Toolkits for Non-Row Oil Crops and Intercropping Systems
  • Figure 14: China Smart Oil Crops Market, $Million, 2024-2035
  • Figure 15: India Smart Oil Crops Market, $Million, 2024-2035
  • Figure 16: Indonesia Smart Oil Crops Market, $Million, 2024-2035
  • Figure 17: Malaysia Smart Oil Crops Market, $Million, 2024-2035
  • Figure 18: Australia Smart Oil Crops Market, $Million, 2024-2035
  • Figure 19: Rest-of-Asia-Pacific Smart Oil Crops Market, $Million, 2024-2035
  • Figure 20: Strategic Initiatives, January 2022-April 2025
  • Figure 21: Data Triangulation
  • Figure 22: Top-Down and Bottom-Up Approach
  • Figure 23: Assumptions and Limitations

List of Tables

  • Table 1: Market Snapshot
  • Table 2: Technological Advancements and Seed Deployment Sensing by Leading Companies
  • Table 3: Key Company Deployments and Technological Advancements in Swarm Robotics and Micro-Dosing
  • Table 4: Patent Analysis, January 2021- July 2025
  • Table 5: Recent Government Programs in Smart Oil Crops Market
  • Table 6: Six Pillars of Biofuel and Export Demands Accelerating Smart Oilseed Adoption
  • Table 7: Penetration Rates for Smart Equipment in Oil Crop Production
  • Table 8: Penetration Rates for Smart Systems in Oil Crop Production
  • Table 9: Smart Oil Crops Market (by Region), $Million, 2024-2035
  • Table 10: Smart Oil Crops Market (by Region), Units, 2024-2035
  • Table 11: Asia-Pacific Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 12: Asia-Pacific Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 13: Asia-Pacific Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 14: Asia-Pacific Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 15: Asia-Pacific Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 16: Asia-Pacific Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 17: China Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 18: China Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 19: China Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 20: China Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 21: China Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 22: China Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 23: India Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 24: India Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 25: India Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 26: India Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 27: India Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 28: India Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 29: Indonesia Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 30: Indonesia Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 31: Indonesia Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 32: Indonesia Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 33: Indonesia Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 34: Indonesia Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 35: Malaysia Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 36: Malaysia Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 37: Malaysia Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 38: Malaysia Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 39: Malaysia Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 40: Malaysia Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 41: Australia Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 42: Australia Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 43: Australia Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 44: Australia Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 45: Australia Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 46: Australia Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 47: Rest-of-Asia-Pacific Smart Oil Crops Market (by Application), $Million, 2024-2035
  • Table 48: Rest-of-Asia-Pacific Smart Oil Crops Market (by Equipment), $Million, 2024-2035
  • Table 49: Rest-of-Asia-Pacific Smart Oil Crops Market (by Equipment), Units, 2024-2035
  • Table 50: Rest-of-Asia-Pacific Smart Oil Crops Market (by System), $Million, 2024-2035
  • Table 51: Rest-of-Asia-Pacific Smart Oil Crops Market (by System), Units, 2024-2035
  • Table 52: Rest-of-Asia-Pacific Smart Oil Crops Market (by Software), $Million, 2024-2035
  • Table 53: Company Market Share, 2024