한글목차

작물 정찰 세계 시장 규모는 2024년에 3억 6,127만 달러로 평가되었습니다. 예측 기간에는 9억 9,431만 달러에 이르고, 2030년까지 연평균 복합 성장률(CAGR)은 18.34%를 나타낼 전망입니다.

작물 정찰 솔루션에 대한 수요를 견인하는 것은 작물 수확량을 향상시키고 투입물 사용을 최적화하는 정밀 농업에 대한 전 세계적인 관심이 증가하고 있기 때문입니다. 인구 증가와 기후의 불확실성으로 인해 식량 안보가 중요한 관심사로 떠오르면서, 농부들은 병해충 조기 발견, 토양 건강 모니터링, 작물 관리 전반에 걸쳐 데이터 기반 기술을 점점 더 많이 활용하고 있습니다. 드론, IoT 센서, 위성 이미지, AI를 활용한 분석 등 첨단 기술의 통합으로 작물 정찰은 수작업 검사에서 실시간 확장 가능한 운영으로 변화하고 있으며, 농부들은 정보에 입각한 의사 결정을 내리고 작물 손실을 최소화할 수 있습니다.

시장 성장 촉진요인

농업 분야 스마트폰 도입 증가

주요 시장 이슈

농가의 낮은 디지털 리터러시 수준

주요 시장 동향

예측 정찰을 위한 AI와 머신러닝의 부상

목차

제1장 개요

제2장 조사 방법

제3장 주요 요약

제4장 COVID-19가 세계의 작물 정찰 시장에 미치는 영향

제5장 고객의 소리

제6장 세계의 작물 정찰 시장 전망

• 시장 규모와 예측
  • 금액별
• 시장 점유율과 예측
  • 유형별(클래식 작물 정찰, 디지털 작물 정찰)
  • 용도별(해충 조사, 농작물 병해 조사, 잡초 조사, 기타)
  • 기업별(2024년)
  • 지역별
• 제품 시장 맵

제7장 북미의 작물 정찰 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 북미 : 국가별 분석
  • 미국
  • 멕시코
  • 캐나다

제8장 유럽의 작물 정찰 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 유럽 : 국가별 분석
  • 프랑스
  • 독일
  • 영국
  • 이탈리아
  • 스페인

제9장 아시아태평양의 작물 정찰 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 아시아태평양 : 국가별 분석
  • 중국
  • 인도
  • 한국
  • 일본
  • 호주

제10장 남미의 작물 정찰 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 남미 : 국가별 분석
  • 브라질
  • 아르헨티나
  • 콜롬비아

제11장 중동 및 아프리카의 작물 정찰 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 중동 및 아프리카 : 국가별 분석
  • 이스라엘
  • 이집트
  • 튀르키예
  • 남아프리카공화국
  • 사우디아라비아
  • 아랍에미리트(UAE)

제12장 시장 역학

• 성장 촉진요인
• 과제

제13장 시장 동향과 발전

제14장 SWOT 분석 : 세계의 작물 정찰 시장

제15장 경쟁 구도

• 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

제16장 전략적 제안

제17장 회사 소개 및 면책조항

영문목차

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