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亞太地區智慧作物市場：依應用、設備、系統、軟體和國家分析與預測（2025-2035）
市場調查報告書
商品編碼
1847087

亞太地區智慧作物市場：依應用、設備、系統、軟體和國家分析與預測（2025-2035）

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個工作天內

價格

預計到2035年，亞太地區智慧作物市場規模將達到 5.657億美元，高於2024年的1.265億美元，2025-2035年預測期內的年複合成長率為 14.57%。

隨著農業技術不斷發展以應對氣候變遷、資源稀缺以及對提高作物生產力日益成長的需求等挑戰，亞太地區智慧作物市場正獲得顯著發展動能。從2024年起，精密農業、自動化和物聯網解決方案的採用將推動全部區域產量顯著提高並降低投入成本。關鍵創新包括人工智慧曳引機和智慧灌溉系統，使農民能夠根據即時田間資料最佳化種植、施肥和用水。在中國、印度、日本和韓國等國家，製造商和經銷商部署人工智慧整合機械和基於物聯網的灌溉工具，以提高營運效率，同時在乾旱易發地區節約用水。

主要市場統計資料
預測期 2025-2035
2025年評估 1.452億美元
2035年的預測 5.657億美元
年複合成長率 14.57%

隨著永續農業方法日益受到重視，人工智慧驅動的作物管理解決方案有助於最佳化決策、有效利用資源並改善環境效益。隨著智慧農業系統在亞太地區的持續擴展，它們有望在加強糧食安全、減少環境影響和促進作物種植韌性方面發揮關鍵作用。這一轉變將意味著整個全部區域將轉向更有效率、技術主導和永續的農業。

市場介紹

隨著技術創新和永續性措施不斷改變全部區域的農業實踐，亞太地區智慧作物市場正經歷強勁成長。大豆、油菜籽和向日葵等作物擴大採用精密農業、人工智慧主導的分析技術、物聯網灌溉系統和自動化機械進行種植，使農民能夠最佳化種植、施肥和收穫。這些技術有助於提高產量、減少資源消耗並提升整體營運效率。

永續、非基因改造和健康植物油的需求日益成長，推動了中國、日本、印度和韓國等國對其的採用。該地區各國政府推廣氣候智慧型、節水型和數位農業計劃，進一步加速了智慧技術在作物種植中的應用。消費者對健康和環境影響的認知也鼓勵農民採用先進的作物管理解決方案，以確保永續生產。

日本、韓國等主要市場憑藉其完善的農業基礎設施和強大的科學研究能力，在智慧作物技術的應用方面處於領先地位，而印度、印尼、越南等新興市場則逐步採用人工智慧、機器人和智慧灌溉系統，以提高生產力並減少對環境的影響。

隨著精密農業、永續實踐和數位創新繼續推動全部區域作物種植的效率、彈性和永續性，亞太地區智慧作物市場有望大幅擴張。

市場區隔

細分 1：依應用

  • 大豆
  • 向日葵
  • 油菜籽
  • 其他

細分2：依設備

  • 聯結機
  • 播種機
  • 吊具
  • 收割機

細分3：依系統

  • 導航和導引系統
  • 田間感測和產量監測系統
  • 智慧灌溉系統

細分4：依軟體

  • 農場管理和決策支援軟體
  • 遙感探測和處方軟體

細分5：依地區

  • 亞太地區

亞太地區智慧油籽作物市場趨勢、促進因素與挑戰

市場趨勢

  • 採用精密農業：擴大使用人工智慧、物聯網和 GPS 機械來最佳化種植、施肥和收穫。
  • 智慧灌溉系統：節水灌溉技術擴大被採用，以節省乾旱地區的資源。
  • 自動化農業：人工智慧曳引機和機器人將提高效率並減少對勞動力的依賴。
  • 永續作物種植：增加非作物、作物和環境永續作物的種植。
  • 數位化作物管理：使用人工智慧平台進行即時監控、產量預測和病蟲害管理。

市場促進因素

  • 糧食需求不斷增加：亞太國家人口成長，食用油消費量增加。
  • 政府措施：促進氣候智慧型農業、精密農業和永續作物生產的政策。
  • 技術進步：透過引進人工智慧、物聯網和智慧機械，提高作物產量、品質和資源效率。
  • 注重永續性：人們對環境影響的認知不斷提高，推動著人們採用環保的種植方法。
  • 緩解水資源短缺：透過智慧灌溉技術節約用水並最佳化資源利用。

市場挑戰

  • 初始投資高：人工智慧主導的機械、物聯網設備和自動化的成本限制了其採用，尤其是對小農戶而言。
  • 基礎設施限制：農村地區缺乏可靠的電力、網路連線和農場級技術的採用。
  • 氣候變遷：影響作物產量和穩定性的不可預測的天氣模式。
  • 監管多樣性：亞太各國不同的農業政策帶來了合規挑戰。
  • 認知有限：新興市場的農民可能缺乏智慧農業技術的知識和訓練。

產品/創新策略：本報告對亞太地區智慧油籽作物市場的應用、設備、系統和軟體進行調查分析。報告涵蓋了亞太地區智慧油籽作物市場的各個細分領域，包括設備、系統和軟體，並深入分析了其不斷發展的技術和技術優勢。設備領域包括曳引機、播種機、噴霧器和收割機，重點介紹了基於高效油籽種植應用需求的設計趨勢。系統領域包括導航和導引系統、田間感測和產量監測系統以及智慧灌溉系統，使相關人員能夠開發節能解決方案，最佳化作物管理和資源利用。軟體領域包括農場管理和決策支援軟體以及遙感探測和配方軟體，使產品團隊能夠識別創新機會並調整策略，以滿足智慧油籽作物領域的性能、整合和成本效益需求。

成長/行銷策略：亞太地區智慧作物市場快速發展，主要企業致力於整合智慧技術以提高油籽產量。各公司透過採用精密農業、人工智慧主導的作物管理和智慧灌溉系統來擴展其能力，以提高產量、改善永續性並減少環境影響。本報告追蹤這些發展動態，並深入探討各公司如何利用基於物聯網的監測、遙感探測和自動化機械等創新技術來最佳化農業營運。本報告將幫助行銷團隊識別高成長機會，使其價值提案與農民需求保持一致，並製定有針對性的打入市場策略，這些策略將考慮區域農業趨勢、政府舉措和市場的技術準備。

競爭策略：報告深入分析了競爭格局，並根據主要企業的產品供應、創新管道、夥伴關係和擴張計劃進行了分析。競爭基準化分析使讀者能夠評估各公司在產品類型和應用領域的定位。市場競爭也有望幫助讀者了解尚未開發的收益空間。

目錄

執行摘要

第1章 市場：產業展望

  • 趨勢
    • 感知種子：田間從根部到油料的即時訊息
    • 群體機器人與微劑量：重新定義油籽種植農學
  • 專利分析
  • 監管和標準格局
  • 市場動態
    • 市場促進因素
    • 市場挑戰
    • 市場機會
  • 案例研究
  • 技術藍圖與採用分析

第2章 區域

  • 區域摘要
  • 亞太地區
    • 區域概況
    • 市場成長動力
    • 成長抑制因素
    • 中國
    • 印度
    • 印尼
    • 馬來西亞
    • 澳洲
    • 其他

第3章 市場 - 競爭基準化分析與公司簡介

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

第4章 調查方法

Product Code: AGA3339SS

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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