作物スカウティング市場- 世界の産業規模、シェア、動向、機会、予測、タイプ別、用途別、地域別、競合別セグメント、2020-2030年

作物スカウティングの世界市場規模は、2024年に3億6,127万米ドルとなり、予測期間には9億9,431万米ドルに達すると予測され、2030年までのCAGRは18.34%です。

作物スカウティングソリューションの需要を牽引しているのは、作物の収量を向上させ、投入資材の使用を最適化する精密農業への世界的な注目が高まっていることです。人口の増加と気候の不確実性により食糧安全保障が重大な関心事となる中、農家は病害虫の早期発見、土壌の健康状態のモニタリング、作物管理全般のためにデータ主導型技術をますます活用するようになっています。ドローン、IoTセンサー、衛星画像、AIを活用した分析などの先進技術の統合により、作物スカウティングは手作業による検査からリアルタイムのスケーラブルな運用へと変化しており、農家は情報に基づいた意思決定を行い、作物の損失を最小限に抑えることができます。

市場促進要因

農業分野でのスマートフォン導入の増加

主な市場課題

農家のデジタルリテラシーの低さ

主要市場動向

予測スカウティングのためのAIと機械学習の台頭

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 COVID-19が世界の作物スカウティング市場に与える影響

第5章 顧客の声

第6章 世界の作物スカウティング市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • タイプ別（クラシック作物スカウティングvs/sデジタルクロップスカウティング）
  • 用途別（害虫調査、農作物病害調査、雑草調査、その他）
  • 企業別（2024）
  • 地域別
• 製品市場マップ

第7章 北米の作物スカウティング市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • メキシコ
  • カナダ

第8章 欧州の作物スカウティング市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • フランス
  • ドイツ
  • 英国
  • イタリア
  • スペイン

第9章 アジア太平洋地域の作物スカウティング市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 韓国
  • 日本
  • オーストラリア

第10章 南米の作物スカウティング市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • アルゼンチン
  • コロンビア

第11章 中東・アフリカの作物スカウティング市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • イスラエル
  • エジプト
  • トルコ
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第12章 市場力学

• 促進要因
• 課題

第13章 市場動向と発展

第14章 SWOT分析：世界の作物スカウティング市場

第15章 競合情勢

• 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 戦略的提言

第17章 調査会社について・免責事項

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.

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