한글목차

유럽의 스마트 작물 스카우팅 및 스마트 살포 시장 규모(영국 제외)는 2023년 4억 5,490만 달러에 달할 것으로 예상됩니다.

이 시장은 2023-2028년 예측 기간 동안 17.89%의 CAGR로 성장하여 10억 3,610만 달러에 달할 것으로 예상됩니다. 스마트 작물 스카우팅 및 스마트 살포 시장의 성장은 농업 부문이 비용을 최소화하면서 작물 수확량을 극대화하는 데 초점을 맞추고 있는 것이 주요 요인으로 작용하고 있습니다. 스마트 작물 스카우팅 및 스마트 살포와 같은 첨단 기술은 병해충 관리, 영양분 사용량 최적화, 잡초 제거를 위한 정확하고 정확한 방법을 제공합니다. 데이터 기반 인사이트으로 농부들에게 힘을 실어주고, 작업 효율성을 개선하고, 자원 낭비를 최소화하고, 환경 피해를 줄임으로써 이러한 기술 혁신은 당분간 스마트 작물 스카우팅 및 스마트 살포 산업의 성장을 촉진할 것으로 예상됩니다.

유럽의 스마트 작물 스카우팅 및 스마트 살포 시장은 농업 부문이 자원 사용을 줄이면서 작물 생산성을 최적화하는 데 점점 더 중점을 두면서 크게 성장하고 있습니다. 스마트 작물 스카우팅 및 스마트 살포와 같은 첨단 기술은 해충 및 병해충 관리, 영양분 살포, 잡초 방제를 위한 정확한 솔루션을 제공합니다. 이러한 기술 혁신을 통해 농부들은 데이터 기반 의사결정을 내릴 수 있어 작업 효율을 높이고 환경에 미치는 영향을 최소화할 수 있습니다. 지속가능한 농업을 장려하는 정부의 노력은 시장 확대를 더욱 촉진할 것입니다. 스마트 농업의 이점에 대한 인식이 높아지고 기술 발전과 함께 유럽의 스마트 작물 스카우팅 및 스마트 살포 시장은 지역 내 농업 산업의 진화하는 요구에 부응하여 향후 몇 년 동안 지속적으로 성장할 수 있는 태세를 갖추고 있습니다.

이 보고서는 유럽의 스마트 작물 스카우팅 및 스마트 살포 시장에 대해 조사했으며, 시장 개요와 함께 용도별, 제품별, 국가별 동향, 시장 진입 기업 개요 등을 전해드립니다.

목차

주요 요약

조사 범위

제1장 시장

• 업계 전망
• 비지니스 역학
• 지정학적 및 사회경제적 영향
• 스타트업 상황

제2장 지역

• 유럽
  • 시장
  • 용도
  • 제품
  • 유럽(국가별)
• 영국
  • 시장
  • 용도
  • 제품

제3장 시장 - 경쟁 벤치마킹과 기업 개요

• 경쟁 벤치마킹
  • 경쟁력 매트릭스
  • 시장 점유율 분석
• 경쟁 분석
• 기업 개요
  • 스마트 작물 스카우팅

제4장 조사 방법

영문목차

The Europe Smart Crop Scouting and Smart Spraying Market (excluding U.K.) Expected to Reach $1,036.1 Million by 2028

Introduction to Europe Smart Crop Scouting and Smart Spraying Market

The Europe smart crop scouting and smart spraying market (excluding U.K.) was valued at $454.9 million in 2023, and it is expected to grow with a CAGR of 17.89% and reach $1,036.1 million during the forecast period of 2023-2028. The growth in the smart crop scouting and smart spraying market is predominantly fueled by the agricultural sector's increasing focus on maximizing crop yields while minimizing expenses. Advanced technologies such as smart crop scouting and smart spraying provide precise and targeted methods for managing pests and diseases, optimizing nutrient usage, and controlling weeds. By empowering farmers with data-driven insights, improving operational efficiency, minimizing resource wastage, and mitigating environmental harm, these innovations are expected to drive the growth of the smart crop scouting and smart spraying industry in the foreseeable future.

Market Introduction

The Europe smart crop scouting and smart spraying market is experiencing significant growth driven by the agricultural sector's increasing focus on optimizing crop productivity while reducing resource usage. Advanced technologies such as smart crop scouting and smart spraying offer precise solutions for pest and disease management, nutrient application, and weed control. These innovations enable farmers to make data-driven decisions, enhancing operational efficiency and minimizing environmental impact. Government initiatives promoting sustainable agriculture further boost market expansion. With rising awareness of the benefits of smart farming practices, coupled with technological advancements, the Europe smart crop scouting and smart spraying market is poised for continuous growth in the coming years, catering to the evolving needs of the agricultural industry across the region.

Market Segmentation:

Segmentation 1: by Application

• Scouting
• Spraying

Segmentation 2: by Scouting Product

• Equipment
• Software

Segmentation 3: Spraying by Product

• Tractor Mounted and Self-Propelled Sprayers
• Robotic Sprayers
• Drone Sprayers

Segmentation 4: by Country

• Germany
• France
• Italy
• Spain
• Netherlands
• Belgium
• Switzerland
• Rest-of-Europe

How Can This Report Add Value to an Organization?

Market Insight: The report on the Europe smart crop scouting and smart spraying market offers valuable insights into the industry landscape, market trends, and growth drivers. It provides a comprehensive understanding of the various smart spraying products, including tractor mounted and self-propelled sprayers, robotic sprayers, and drone sprayers. Additionally, it covers the scouting equipment used in the industry, such as drones, robots, and others. Moreover, the report discusses smart spraying applications, such as nutrient application and crop protection chemicals. This information allows organizations to gain a deeper understanding of market dynamics and identify potential opportunities for their products and applications.

Product/Innovation Strategy: By highlighting the different smart spraying products and scouting equipment, the report enables organizations to assess the market demand and adoption of these technologies. It provides insights into the advancements and innovations in the industry, helping organizations align their product development strategies to meet market requirements. Furthermore, the report explores the diverse smart spraying applications, assisting organizations in identifying areas for product diversification and expansion.

Competitive Strategy: The report profiles major players in the smart crop scouting and smart spraying market, including manufacturers of spraying equipment and scouting technology providers. It assesses their competitive landscape, product portfolios, and strategies. Organizations can gain insights into their competitors' strengths and weaknesses, identify potential partnerships or collaborations, and position themselves effectively in the market.

Key Market Players and Competition Synopsis

The companies that are profiled have been selected based on inputs gathered from primary experts and analysing the company's coverage, product portfolio, its market penetration.

Key Companies Profiled:

• BASF SE (xarvio)
• Syngenta
• WEED-IT
• HARDI
• Agrifac Machinery B.V.
• Ecorobotix SA

Table of Contents

Executive Summary

Scope of the Study

1 Market

• 1.1 Industry Outlook
  • 1.1.1 Market Definition
  • 1.1.2 Ongoing Trends
    • 1.1.2.1 Emerging Innovative Network Technology for Smart Crop Scouting
      • 1.1.2.1.1 Satellite
      • 1.1.2.1.2 LoRaWAN
      • 1.1.2.1.3 5G
    • 1.1.2.2 Emerging Imaging and Data Collection Technologies
      • 1.1.2.2.1 Hyperspectral Imaging
      • 1.1.2.2.2 Multispectral Imaging
      • 1.1.2.2.3 Thermal Imaging
      • 1.1.2.2.4 LiDAR
  • 1.1.3 Ecosystem/Ongoing Programs
    • 1.1.3.1 Consortiums and Associations
    • 1.1.3.2 Regulatory Bodies
    • 1.1.3.3 Government Initiatives and Impact
• 1.2 Business Dynamics
  • 1.2.1 Business Drivers
    • 1.2.1.1 Need for Higher Production at Limited Resources
      • 1.2.1.1.1 Labor Shortage
    • 1.2.1.2 Increased Focus on Sustainable Agriculture
      • 1.2.1.2.1 Growing Demand for Organic and Non-GMO Crops
  • 1.2.2 Business Challenges
    • 1.2.2.1 High Initial Investment
    • 1.2.2.2 Data Security Related Concerns
    • 1.2.2.3 Compatibility with Existing Equipment
    • 1.2.2.4 Limited Availability of Skilled Labor
  • 1.2.3 Market Strategies and Developments
    • 1.2.3.1 Business Strategies
      • 1.2.3.1.1 Product Development and Innovations
      • 1.2.3.1.2 Business Expansion
    • 1.2.3.2 Corporate Strategies
      • 1.2.3.2.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 1.2.3.2.2 Mergers and Acquisitions
      • 1.2.3.2.3 Others
      • 1.2.3.2.4 Snapshot of Corporate Strategies Adopted by the Players in Smart Crop Scouting and Smart Spraying Market
    • 1.2.3.3 Case Studies
      • 1.2.3.3.1 See & Spray Ultimate Sprayer Case Study
      • 1.2.3.3.2 5G Connected Autonomous Robots by KPN and AGROiNTELLi
      • 1.2.3.3.3 DJI Drone-Based Roden Control Case Study
  • 1.2.4 Business Opportunities
    • 1.2.4.1 Integral Offerings with Horizontal Integration in Farming
    • 1.2.4.2 Climate-Smart Agriculture
• 1.3 Geopolitical and Socioeconomic Impacts
  • 1.3.1 Impact of COVID-19 on Smart Crop Scouting and Smart Spraying Market
  • 1.3.2 Impact of Russia-Ukraine on Smart Crop Scouting and Smart Spraying Market
• 1.4 Startup Landscape
  • 1.4.1 Key Startups in the Ecosystem
  • 1.4.2 Funding Analysis
    • 1.4.2.1 Total Investment and Number of Funding Deals
    • 1.4.2.2 Top Investors
    • 1.4.2.3 Top Funding Deals by the Startups and Investors
    • 1.4.2.4 Funding Analysis (by Country)

2 Region

• 2.1 Europe
  • 2.1.1 Market
    • 2.1.1.1 Key Smart Crop Scouting and Smart Spraying Operators in Europe
    • 2.1.1.2 Buyer Attributes
      • 2.1.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 2.1.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 2.1.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 2.1.1.3 Business Challenges
    • 2.1.1.4 Business Drivers
  • 2.1.2 Application
    • 2.1.2.1 Europe Smart Crop Scouting Market (by Application)
    • 2.1.2.2 Europe Smart Spraying Market (by Application)
  • 2.1.3 Product
    • 2.1.3.1 Europe Smart Crop Scouting Market (by Product)
    • 2.1.3.2 Europe Smart Spraying Market (by Product)
  • 2.1.4 Europe (by Country)
    • 2.1.4.1 Germany
      • 2.1.4.1.1 Market
        • 2.1.4.1.1.1 Buyer Attributes
        • 2.1.4.1.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.1.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.1.1.2 Business Challenges
        • 2.1.4.1.1.3 Business Drivers
      • 2.1.4.1.2 Application
        • 2.1.4.1.2.1 Germany Smart Crop Scouting Market (by Application)
        • 2.1.4.1.2.2 Germany Smart Spraying Market (by Application)
      • 2.1.4.1.3 Product
        • 2.1.4.1.3.1 Germany Smart Crop Scouting Market (by Product)
        • 2.1.4.1.3.2 Germany Smart Spraying Market (by Product)
    • 2.1.4.2 France
      • 2.1.4.2.1 Market
        • 2.1.4.2.1.1 Buyer Attributes
        • 2.1.4.2.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.2.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.2.1.2 Business Challenges
        • 2.1.4.2.1.3 Business Drivers
      • 2.1.4.2.2 Application
        • 2.1.4.2.2.1 France Smart Crop Scouting Market (by Application)
        • 2.1.4.2.2.2 France Smart Spraying Market (by Application)
      • 2.1.4.2.3 Product
        • 2.1.4.2.3.1 France Smart Crop Scouting Market (by Product)
        • 2.1.4.2.3.2 France Smart Spraying Market (by Product)
    • 2.1.4.3 Italy
      • 2.1.4.3.1 Market
        • 2.1.4.3.1.1 Buyer Attributes
        • 2.1.4.3.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.3.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.3.1.2 Business Challenges
        • 2.1.4.3.1.3 Business Drivers
      • 2.1.4.3.2 Application
        • 2.1.4.3.2.1 Italy Smart Crop Scouting Market (by Application)
        • 2.1.4.3.2.2 Italy Smart Spraying Market (by Application)
      • 2.1.4.3.3 Product
        • 2.1.4.3.3.1 Italy Smart Crop Scouting Market (by Product)
        • 2.1.4.3.3.2 Italy Smart Spraying Market (by Product)
    • 2.1.4.4 Netherlands
      • 2.1.4.4.1 Market
        • 2.1.4.4.1.1 Buyer Attributes
        • 2.1.4.4.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.4.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.4.1.2 Business Challenges
        • 2.1.4.4.1.3 Business Drivers
      • 2.1.4.4.2 Application
        • 2.1.4.4.2.1 Netherlands Smart Crop Scouting Market (by Application)
        • 2.1.4.4.2.2 Netherlands Smart Spraying Market (by Application)
      • 2.1.4.4.3 Product
        • 2.1.4.4.3.1 Netherlands Smart Crop Scouting Market (by Product)
        • 2.1.4.4.3.2 Netherlands Smart Spraying Market (by Product)
    • 2.1.4.5 Spain
      • 2.1.4.5.1 Market
        • 2.1.4.5.1.1 Buyer Attributes
        • 2.1.4.5.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.5.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.5.1.2 Business Challenges
        • 2.1.4.5.1.3 Business Drivers
      • 2.1.4.5.2 Application
        • 2.1.4.5.2.1 Spain Smart Crop Scouting Market (by Application)
        • 2.1.4.5.2.2 Spain Smart Spraying Market (by Application)
      • 2.1.4.5.3 Product
        • 2.1.4.5.3.1 Spain Smart Crop Scouting Market (by Product)
        • 2.1.4.5.3.2 Spain Smart Spraying Market (by Product)
    • 2.1.4.6 Belgium
      • 2.1.4.6.1 Market
        • 2.1.4.6.1.1 Buyer Attributes
        • 2.1.4.6.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.6.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.6.1.2 Business Challenges
        • 2.1.4.6.1.3 Business Drivers
      • 2.1.4.6.2 Application
        • 2.1.4.6.2.1 Belgium Smart Crop Scouting Market (by Application)
        • 2.1.4.6.2.2 Belgium Smart Spraying Market (by Application)
      • 2.1.4.6.3 Product
        • 2.1.4.6.3.1 Belgium Smart Crop Scouting Market (by Product)
        • 2.1.4.6.3.2 Belgium Smart Spraying Market (by Product)
    • 2.1.4.7 Switzerland
      • 2.1.4.7.1 Market
        • 2.1.4.7.1.1 Buyer Attributes
        • 2.1.4.7.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.7.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.7.1.2 Business Challenges
        • 2.1.4.7.1.3 Business Drivers
      • 2.1.4.7.2 Application
        • 2.1.4.7.2.1 Switzerland Smart Crop Scouting Market (by Application)
        • 2.1.4.7.2.2 Switzerland Smart Spraying Market (by Application)
      • 2.1.4.7.3 Product
        • 2.1.4.7.3.1 Switzerland Smart Crop Scouting Market (by Product)
        • 2.1.4.7.3.2 Switzerland Smart Spraying Market (by Product)
    • 2.1.4.8 Rest-of-Europe
      • 2.1.4.8.1 Market
        • 2.1.4.8.1.1 Buyer Attributes
        • 2.1.4.8.1.1.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
        • 2.1.4.8.1.1.2 Crop Pattern and Biotic and Abiotic Stress Factors
        • 2.1.4.8.1.2 Business Challenges
        • 2.1.4.8.1.3 Business Drivers
      • 2.1.4.8.2 Application
        • 2.1.4.8.2.1 Rest-of-Europe Smart Crop Scouting Market (by Application)
        • 2.1.4.8.2.2 Rest-of-Europe Smart Spraying Market (by Application)
      • 2.1.4.8.3 Product
        • 2.1.4.8.3.1 Rest-of-Europe Smart Crop Scouting Market (by Product)
        • 2.1.4.8.3.2 Rest-of-Europe Smart Spraying Market (by Product)
• 2.2 U.K.
  • 2.2.1 Market
    • 2.2.1.1 Key Smart Crop Scouting and Smart Spraying Operators in the U.K.
    • 2.2.1.2 Business Challenges
      • 2.2.1.2.1 Farm Size, Labor Availability, and State of Digitization in Agriculture
      • 2.2.1.2.2 Crop Pattern and Biotic and Abiotic Stress Factors
      • 2.2.1.2.3 Smart Crop Scouting Acreage (by Company)
    • 2.2.1.3 Business Drivers
  • 2.2.2 Application
    • 2.2.2.1 U.K. Smart Crop Scouting Market (by Application)
    • 2.2.2.2 U.K. Smart Spraying Market (by Application)
  • 2.2.3 Product
    • 2.2.3.1 U.K. Smart Crop Scouting Market (by Product)
    • 2.2.3.2 U.K. Smart Spraying Market (by Product)

3 Market - Competitive Benchmarking and Company Profiles

• 3.1 Competitive Benchmarking
  • 3.1.1 Competitive Position Matrix
    • 3.1.1.1 Smart Crop Scouting
    • 3.1.1.2 Smart Spraying Market
  • 3.1.2 Market Share Analysis
    • 3.1.2.1 Smart Crop Scouting Market
    • 3.1.2.2 Smart Spraying Market
• 3.2 Competitive Analysis
• 3.3 Company Profiles
  • 3.3.1 Smart Crop Scouting
    • 3.3.1.1 BASF SE (xarvio)
      • 3.3.1.1.1 Company Overview
      • 3.3.1.1.2 Role of BASF SE (xarvio) in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.1.3 Product Portfolio
      • 3.3.1.1.4 Customer Profile
        • 3.3.1.1.4.1 Target Customers
        • 3.3.1.1.4.2 Key Clients
      • 3.3.1.1.5 Business Strategies
        • 3.3.1.1.5.1 Product Developments
      • 3.3.1.1.6 Corporate Strategies
        • 3.3.1.1.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 3.3.1.1.7 Analyst View
    • 3.3.1.2 Syngenta
      • 3.3.1.2.1 Company Overview
      • 3.3.1.2.2 Role of Syngenta in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.2.3 Product Portfolio
      • 3.3.1.2.4 Customer Profile
        • 3.3.1.2.4.1 Target Customers
      • 3.3.1.2.5 Business Strategies
        • 3.3.1.2.5.1 Market Developments
        • 3.3.1.2.5.2 Product Developments
      • 3.3.1.2.6 Analyst View
    • 3.3.1.3 WEED-IT
      • 3.3.1.3.1 Company Overview
      • 3.3.1.3.2 Role of WEED-IT in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.3.3 Product Portfolio
      • 3.3.1.3.4 Customer Profile
        • 3.3.1.3.4.1 Target Customers
        • 3.3.1.3.4.2 Key Clients
      • 3.3.1.3.5 Business Strategies
        • 3.3.1.3.5.1 Product Developments
      • 3.3.1.3.6 Analyst View
    • 3.3.1.4 HARDI
      • 3.3.1.4.1 Company Overview
      • 3.3.1.4.2 Role of HARDI in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.4.3 Product Portfolio
      • 3.3.1.4.4 Customer Profile
        • 3.3.1.4.4.1 Target Customers
      • 3.3.1.4.5 Corporate Strategies
        • 3.3.1.4.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 3.3.1.4.6 Analyst View
    • 3.3.1.5 Agrifac Machinery B.V.
      • 3.3.1.5.1 Company Overview
      • 3.3.1.5.2 Role of Agrifac Machinery B.V. in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.5.3 Product Portfolio
      • 3.3.1.5.4 Customer Profile
        • 3.3.1.5.4.1 Target Customers
        • 3.3.1.5.4.2 Key Clients
      • 3.3.1.5.5 Business Strategies
        • 3.3.1.5.5.1 Product Developments
      • 3.3.1.5.6 Corporate Strategies
        • 3.3.1.5.6.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 3.3.1.5.7 Analyst View
    • 3.3.1.6 Ecorobotix SA
      • 3.3.1.6.1 Company Overview
      • 3.3.1.6.2 Role of Ecorobotix SA in Smart Crop Scouting and Smart Spraying Market
      • 3.3.1.6.3 Product Portfolio
      • 3.3.1.6.4 Customer Profile
        • 3.3.1.6.4.1 Target Customers
      • 3.3.1.6.5 Business Strategies
        • 3.3.1.6.5.1 Product Developments
      • 3.3.1.6.6 Analyst View

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