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作物偵察市場－全球產業規模、佔有率、趨勢、機會和預測（按類型、應用、地區和競爭細分，2020-2030 年）

Crop Scouting Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type, By Application, By Region and Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 188 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球作物偵察市場價值為 3.6127 億美元，預計在預測期內將達到 9.9431 億美元，到 2030 年的複合年成長率為 18.34%。推動作物偵察解決方案需求的因素包括全球日益重視精準農業，以提高作物產量並最佳化投入品使用。由於人口成長和氣候不確定性導致糧食安全成為關鍵問題，農民擴大轉向數據驅動技術進行早期病蟲害檢測、土壤健康監測和作物整體管理。無人機、物聯網感測器、衛星影像和人工智慧分析等先進技術的融合，正在將作物偵察從人工檢查轉變為即時、可擴展的操作，使農民能夠做出明智的決策並最大限度地減少作物損失。

市場概覽
預測期 2026-2030
2024年市場規模 3.6127億美元
2030年市場規模 9.9431億美元
2025-2030 年複合年成長率 18.34%
成長最快的領域 數位作物偵察
最大的市場 亞太地區

關鍵市場促進因素

智慧型手機在農業領域的應用增加

主要市場挑戰

農民數位素養有限

主要市場趨勢

人工智慧和機器學習在預測偵察中的興起

目錄

第1章：服務概述

第2章：研究方法

第3章：執行摘要

第4章：COVID-19 對全球作物偵察市場的影響

第5章：顧客之聲

第6章：全球作物偵察市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 按類型（傳統作物偵察 vs. 數位作物偵察）
    • 依應用（昆蟲偵察、作物病害偵察、雜草偵察、其他）
    • 按公司分類（2024）
    • 按地區
  • 產品市場圖

第7章：北美作物偵察市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 墨西哥
    • 加拿大

第8章：歐洲作物偵察市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 法國
    • 德國
    • 英國
    • 義大利
    • 西班牙

第9章：亞太作物偵察市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 韓國
    • 日本
    • 澳洲

第10章：南美洲作物偵察市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 11 章：中東和非洲作物偵察市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • MEA：國家分析
    • 以色列
    • 埃及
    • 土耳其
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第 12 章：市場動態

  • 驅動程式
  • 挑戰

第13章：市場趨勢與發展

第 14 章：SWOT 分析：全球作物偵察市場

第 15 章：競爭格局

  • Crop Quest, Inc.
  • EOS Data Analytics Inc.
  • United Prairie LLC
  • FieldX Inc.
  • BASF Digital Farming GmbH (Xarvio)
  • Sylvite AG
  • Nutrien Ag Solutions, Inc
  • SGS SA
  • Taranis
  • Antara AG

第 16 章：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 10683

Global Crop Scouting Market was valued at USD 361.27 million in 2024 and is expected to reach USD 994.31 million in the forecast period with a CAGR of 18.34% through 2030. Driving the demand for crop scouting solutions is the increasing global focus on precision agriculture to improve crop yields and optimize input use. As food security becomes a critical concern due to rising population and climate uncertainties, farmers are increasingly turning to data-driven techniques for early pest and disease detection, soil health monitoring, and overall crop management. The integration of advanced technologies such as drones, IoT sensors, satellite imagery, and AI-powered analytics is transforming crop scouting from manual inspections to real-time, scalable operations, enabling farmers to make informed decisions and minimize crop losses.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 361.27 Million
Market Size 2030USD 994.31 Million
CAGR 2025-203018.34%
Fastest Growing SegmentDigital Crop Scouting
Largest MarketAsia Pacific

Key Market Drivers

Increase in Adoption of Smartphones in Agriculture

The widespread adoption of smartphones in the agricultural sector is revolutionizing traditional farming practices by providing farmers with real-time access to information and decision-making tools. According to recent data, over 70% of farmers in India now use smartphones for agricultural purposes, reflecting a significant behavioral shift. These devices enable farmers to access weather forecasts, soil analysis reports, pest alerts, and government schemes directly from their fields, reducing reliance on intermediaries and improving the timeliness of interventions. As smartphone penetration deepens, more farmers are becoming digitally empowered.

In developed nations, smartphone usage in agriculture is also expanding, driven by tech-savvy younger generations entering the farming sector. A 2024 survey revealed that nearly 68% of U.S. farmers under the age of 40 regularly use smartphones for crop monitoring, equipment control, and accessing precision agriculture apps. These devices support cloud-based platforms that integrate with IoT sensors and drones, enhancing data collection and analysis. The growing ecosystem of agricultural apps is making crop scouting more accurate, user-friendly, and scalable across various farm sizes.

In emerging economies, government initiatives and private sector programs are driving smartphone accessibility in rural areas. Initiatives promoting digital inclusion have resulted in increased mobile internet penetration, enabling farmers to use smartphones not just for communication but also for receiving agronomic advice, training videos, and digital marketplaces. This evolution is making crop scouting tools more widely available and reducing the knowledge gap between large and small-scale farmers. As rural connectivity improves, smartphone-based scouting solutions are expected to become integral to everyday farm management.

Moreover, smartphone integration is playing a key role in connecting farmers to global agricultural networks and platforms. With camera-enabled phones, farmers can now capture images of crops and receive AI-generated diagnostics and treatment suggestions within minutes. Social media platforms are also becoming learning tools where farmers share the best practices and solutions. This level of connectivity and real-time communication is enhancing collaborative learning and decision-making. As smartphone affordability increases and app developers tailor solutions to regional needs, their role in crop scouting is set to grow exponentially.

Key Market Challenges

Limited Digital Literacy Among Farmers

Limited digital literacy among farmers stands as a significant barrier to the widespread adoption of crop scouting technologies. In many developing and underdeveloped regions, a large portion of the farming community is unfamiliar with using smartphones, mobile applications, or digital platforms designed for agricultural purposes. Even when farmers own smartphones, they may lack the knowledge or confidence to navigate apps that offer scouting insights, disease alerts, or weather forecasts. This results in underutilization of valuable technological tools that could enhance productivity. Compounding the issue is a generational divide, with older farmers often preferring traditional farming practices over digital interventions. Without adequate training and support, these technologies remain inaccessible or intimidating. As a result, despite technological advancements, the full potential of crop scouting remains untapped among a significant share of the global farming population.

Bridging the digital literacy gap requires consistent investment in farmer education, localized content, and on-ground extension support. Training programs need to be conducted in regional languages, using visual aids and demonstration-based learning to simplify complex concepts. Collaboration between governments, agritech companies, and NGOs can play a pivotal role in promoting digital awareness and usability. Moreover, developing highly intuitive and user-friendly applications tailored to the skill level of rural farmers can accelerate adoption. Peer learning and success stories shared within farming communities can also boost confidence and drive behavioral change. Without addressing this foundational issue, even the most advanced crop scouting technologies will struggle to scale effectively in rural markets, ultimately limiting their impact on productivity and sustainability.

Key Market Trends

Rise of AI and Machine Learning for Predictive Scouting

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in crop scouting is transforming the way farmers monitor and manage their fields. These technologies enable the processing of vast amounts of data-from satellite imagery, drone feeds, and IoT sensors-to detect early signs of diseases, pest infestations, and nutrient deficiencies. Unlike manual scouting, AI models can analyze environmental variables in real time and predict potential threats with high accuracy, allowing timely interventions. For example, AI-powered platforms can generate early warnings for blight or rust based on weather patterns and field conditions. This predictive capability reduces crop loss, enhances resource optimization, and improves overall yield quality. Additionally, machine learning continuously improves with more data, refining its recommendations over time. As AI becomes more accessible, even smallholder farmers are beginning to benefit from precise, data-driven decision-making.

Moreover, AI-powered scouting tools are becoming more user-centric, supporting mobile integration and vernacular languages to enhance farmer engagement. Many platforms now use image recognition and deep learning models that allow farmers to upload photos of diseased crops and receive instant diagnostics and treatment suggestions. These applications are often integrated with localized advisory services that recommend region-specific actions based on soil types, crop cycles, and climate trends. As the cost of computing decreases and internet connectivity improves, the deployment of such smart solutions is accelerating. Governments and agritech companies are also investing in AI-based research to enhance food security and sustainability. This rise in AI adoption is not just a technological shift-it's reshaping global agricultural practices toward precision, efficiency, and resilience.

Key Market Players

  • Crop Quest, Inc.
  • EOS Data Analytics Inc.
  • United Prairie LLC
  • FieldX Inc.
  • BASF Digital Farming GmbH (Xarvio)
  • Sylvite AG
  • Nutrien Ag Solutions, Inc
  • SGS SA
  • Taranis
  • Antara AG

Report Scope:

In this report, global crop scouting market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

Crop Scouting Market, By Type:

  • Classic Crop Scouting
  • Digital Crop Scouting

Crop Scouting Market, By Application:

  • Insect Scouting
  • Crop Disease Scouting
  • Weed Scouting
  • Others

Crop Scouting Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Europe
  • Germany
  • United Kingdom
  • France
  • Italy
  • Spain
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
    • Saudi Arabia
    • South Africa
    • UAE
    • Israel
    • Turkey
    • Egypt

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global crop scouting market.

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

2. Research Methodology

3. Executive Summary

4. Impact of COVID-19 on Global Crop Scouting Market

5. Voice of Customer

  • 5.1. Crop Scouting Awareness
  • 5.2. Commonly Observed Problems by the Farmers while Growing Crops
  • 5.3. Benefits of Using Crop Scouting
  • 5.4. Barriers To Adoption

6. Global Crop Scouting Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 6.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 6.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 6.2.3. By Company (2024)
    • 6.2.4. By Region
  • 6.3. Product Market Map

7. North America Crop Scouting Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 7.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 7.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 7.2.3. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Crop Scouting Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Type
        • 7.3.1.2.2. By Application
    • 7.3.2. Mexico Crop Scouting Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Type
        • 7.3.2.2.2. By Application
    • 7.3.3. Canada Crop Scouting Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Type
        • 7.3.3.2.2. By Application

8. Europe Crop Scouting Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 8.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 8.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 8.2.3. By Country
  • 8.3. Europe: Country Analysis
    • 8.3.1. France Crop Scouting Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Type
        • 8.3.1.2.2. By Application
    • 8.3.2. Germany Crop Scouting Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Type
        • 8.3.2.2.2. By Application
    • 8.3.3. United Kingdom Crop Scouting Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Type
        • 8.3.3.2.2. By Application
    • 8.3.4. Italy Crop Scouting Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Type
        • 8.3.4.2.2. By Application
    • 8.3.5. Spain Crop Scouting Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Type
        • 8.3.5.2.2. By Application

9. Asia-Pacific Crop Scouting Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 9.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 9.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 9.2.3. By Country
  • 9.3. Asia-Pacific: Country Analysis
    • 9.3.1. China Crop Scouting Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Type
        • 9.3.1.2.2. By Application
    • 9.3.2. India Crop Scouting Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Type
        • 9.3.2.2.2. By Application
    • 9.3.3. South Korea Crop Scouting Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Type
        • 9.3.3.2.2. By Application
    • 9.3.4. Japan Crop Scouting Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Type
        • 9.3.4.2.2. By Application
    • 9.3.5. Australia Crop Scouting Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Type
        • 9.3.5.2.2. By Application

10. South America Crop Scouting Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 10.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 10.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Crop Scouting Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Type
        • 10.3.1.2.2. By Application
    • 10.3.2. Argentina Crop Scouting Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Type
        • 10.3.2.2.2. By Application
    • 10.3.3. Colombia Crop Scouting Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Type
        • 10.3.3.2.2. By Application

11. Middle East and Africa Crop Scouting Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Type (Classic Crop Scouting v/s Digital Crop Scouting)
      • 11.2.1.1. By Digital Crop Scouting (Global Positioning System (GPS), Unmanned Aerial Vehicles (UAVs), Remote Sensing Technology, Others)
    • 11.2.2. By Application (Insect Scouting, Crop Disease Scouting, Weed Scouting, Others)
    • 11.2.3. By Country
  • 11.3. MEA: Country Analysis
    • 11.3.1. Israel Crop Scouting Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Type
        • 11.3.1.2.2. By Application
    • 11.3.2. Egypt Crop Scouting Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Type
        • 11.3.2.2.2. By Application
    • 11.3.3. Turkey Crop Scouting Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Type
        • 11.3.3.2.2. By Application
    • 11.3.4. South Africa Crop Scouting Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Type
        • 11.3.4.2.2. By Application
    • 11.3.5. Saudi Arabia Crop Scouting Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Type
        • 11.3.5.2.2. By Application
    • 11.3.6. UAE Crop Scouting Market Outlook
      • 11.3.6.1. Market Size & Forecast
        • 11.3.6.1.1. By Value
      • 11.3.6.2. Market Share & Forecast
        • 11.3.6.2.1. By Type
        • 11.3.6.2.2. By Application

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. SWOT Analysis: Global Crop Scouting Market

15. Competitive Landscape

  • 15.1. Crop Quest, Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Company Snapshot
    • 15.1.3. Products & Services
    • 15.1.4. Financials (As Reported)
    • 15.1.5. Recent Developments
    • 15.1.6. Key Personnel Details
    • 15.1.7. SWOT Analysis
  • 15.2. EOS Data Analytics Inc.
  • 15.3. United Prairie LLC
  • 15.4. FieldX Inc.
  • 15.5. BASF Digital Farming GmbH (Xarvio)
  • 15.6. Sylvite AG
  • 15.7. Nutrien Ag Solutions, Inc
  • 15.8. SGS SA
  • 15.9. Taranis
  • 15.10. Antara AG

16. Strategic Recommendations

17. About Us & Disclaimer