시장보고서
상품코드
1555051

미국의 디지털 농업 시장 평가 : 기술별, 유형별, 업무별, 제공별, 지역별, 기회 및 예측(2017-2031년)

United States Digital Agriculture Market Assessment, By Technology, By Type, By Operation, By Offering, By Region, Opportunities and Forecast, 2017-2031F

발행일: | 리서치사: Markets & Data | 페이지 정보: 영문 135 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    




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미국의 디지털 농업 시장 규모는 2023년 18억 6,000만 달러에서 2031년 67억 7,000만 달러로 2024-2031년 예측 기간 동안 연평균 17.50% 성장할 것으로 예상됩니다. 미국에서 빠르게 변화하는 디지털 농업 환경은 지속가능한 농법, 더 나은 수확량, 더 스마트한 농장 관리에 대한 요구가 증가하고 있기 때문입니다. 정밀 농업, IoT, 데이터 마이닝 및 분석, 드론으로도 알려진 무인항공기(UAV), 위성 이미지, 농장 관리 소프트웨어 등은 농업 경영을 최적화하기 위해 디지털 농업에 통합된 다양한 기술입니다. 이러한 기술은 토양 상태, 작물 상태, 기상 패턴, 장비 성능에 대한 실시간 정보를 제공하여 농부들이 데이터에 기반한 의사 결정을 내릴 수 있도록 돕습니다.

시장 성장의 또 다른 이유로는 농부들의 정밀 농업 기술 사용 증가, 지속가능한 농업을 향한 정부의 움직임, 지구 온난화와 농지 자원 감소에도 불구하고 더 많은 생산을 해야 하는 필요성 등을 들 수 있습니다. 또한, 머신러닝, AI, 클라우드 컴퓨팅의 활용은 농업을 위한 첨단 도구와 플랫폼의 개발을 촉진할 것으로 보입니다.

Deere & Company, Trimble Inc, Bayer AG 등은 첨단 디지털 솔루션을 도입하기 위해 연구개발에 막대한 투자를 하고 있습니다. 또한, 농부들은 디지털 농업 솔루션을 활용하면 비용 절감, 수확량 증가, 자원 활용 등의 이점을 얻을 수 있다는 것을 인식하고 있으며, 이는 시장 성장을 촉진하고 있습니다. 그럼에도 불구하고 높은 초기 비용, 데이터 프라이버시 문제, 디지털 장비를 조작할 수 있는 숙련된 인력 부족 등의 장애물이 존재하며, 이로 인해 시장 성장이 둔화되고 있습니다. 전반적으로 미국의 디지털 농업 시장은 큰 성장이 예상되며, 그 결과 현대 기술의 활용으로 전통적인 농업 방식이 데이터 중심의 방식으로 변화할 것으로 전망됩니다.

2024년 5월, 미주농업협력연구소(Inter-American Institute for Cooperation on Agriculture, IICA)는 아메리카의 AgTech 생태계에서 가장 중요한 기업들이 한자리에 모이는 디지털 농업 주간(Digital Agriculture Week, DAW)을 공식 출범했습니다. 이번 발표 행사는 디지털 농업 주간(Pre-Week of Digital Agriculture)의 시작을 알리는 행사로, 4일 동안 디지털화 관련 주제를 다루며 지난번의 논의와 노력을 이어갑니다.

빠른 기술 발전은 시장 성장을 촉진합니다.

기술 혁신은 새로운 아이디어를 촉진하고 농장의 효율성을 향상시킴으로써 미국의 디지털 농업 시장을 크게 재편하고 있습니다. 이러한 변화는 IoT, AI, 머신러닝, 빅데이터 분석, 클라우드 컴퓨팅 등의 분야에서 가장 두드러지게 나타나고 있습니다. 예를 들어, IoT 기반 센서는 토양의 수분 수준, 영양분 함량, 기후 조건에 대한 실시간 정보를 수집하는 데 활용되고 있습니다. 이러한 정확도는 농부들이 관개와 비료 살포에 대한 선택을 할 때 도움이 됩니다.

AI 알고리즘과 기계 학습 알고리즘이 생성하는 예측적 지식의 도움으로 농부들은 작물 및 해충 관리와 관련하여 더 많은 정보에 입각한 결정을 내릴 수 있습니다. 또한, 드론과 위성 이미지와 같은 원격 감지 기술은 농지의 고해상도 이미지를 제공하여 농부들이 작물의 스트레스와 질병을 미리 파악할 수 있도록 돕습니다. 또한, 클라우드 기반 농장 관리 소프트웨어는 다양한 자료에서 정보를 수집하고 전체 농업 프로세스를 종합적으로 이해하여 의사 결정을 개선할 수 있도록 돕습니다.

2024년 8월 바이엘 AG가 미국에서 출시한 FieldView Drive 2.0은 농부들이 농기계 작동 및 모델링을 연결, 추적 및 기록할 수 있는 휴대용 플러그 앤 플레이 가젯입니다. 농부들이 심고, 뿌리고, 수확할 때 디지털 솔루션을 활용하면 현장 처리 능력, 데이터 저장 및 연결 안정성을 향상시킬 수 있습니다.

이 보고서는 세계 디지털 농업 시장을 조사 분석하여 시장 규모와 예측, 시장 역학, 주요 기업 현황 및 전망 등을 제공합니다.

목차

제1장 프로젝트 범위와 정의

제2장 조사 방법

제3장 주요 요약

제4장 고객의 소리

  • 인구통계(연령/코호트 분석 - 베이비붐 세대, X세대, 밀레니얼 세대, Z세대, 성별, 소득 - 저소득, 중소득, 고소득, 지역, 국적 등)
  • 시장 인지도와 제품 정보
  • 브랜드 인지도와 로열티
  • 구입 결정에서 고려되는 요소
  • 구입 채널
  • 구입 빈도
  • 기존 또는 예정 사용자

제5장 미국의 디지털 농업 시장 전망(2017-2031년)

  • 시장 규모 분석과 예측
    • 금액
  • 시장 점유율 분석과 예측
    • 기술별
    • 유형별
    • 업무별
    • 제공별
    • 지역별
    • 시장 점유율 분석 : 기업별(금액)(상위 5개사와 기타 - 2023년)
  • 시장 맵 분석(2023년)
    • 기술별
    • 유형별
    • 업무별
    • 제공별
    • 지역별

제6장 수급 분석

제7장 밸류체인 분석

제8장 Porter's Five Forces 분석

제9장 PESTLE 분석

제10장 거시경제 지표

제11장 가격 분석

제12장 이익률 분석

제13장 시장 역학

  • 시장 성장 촉진요인
  • 시장 과제

제14장 시장 동향과 발전

제15장 사례 연구

제16장 경쟁 상황

  • 시장 리더 상위 5개사 경쟁 매트릭스
  • 기업 생태계 분석(스타트업 vs. 중소기업 vs. 대규모 기업)
  • 상위 5개사 SWOT 분석
  • 주요 기업 상위 10개사 상황
    • Deere & Company
    • Trimble Inc.
    • AGCO Corporation
    • Raven Industries, Inc.
    • A.A.A Taranis Visual Ltd.
    • Corteva Agriscience
    • Bayer AG
    • Ag Leader Technology
    • Syngenta Corporation
    • Tule Technologies Inc.

제17장 전략적 추천

제18장 당사 소개와 면책사항

ksm 24.09.26

United States digital agriculture market is projected to witness a CAGR of 17.50% during the forecast period 2024-2031, growing from USD 1.86 billion in 2023 to USD 6.77 billion in 2031. The rapidly changing digital agriculture landscape in the United States results from the growing need for sustainable farming methods, better yield, and smarter farm management. Precision agriculture, the Internet of Things (IoT), data mining and analysis, unmanned aerial vehicles (UAVs), also known as drones, satellite imagery, and software for managing farms, are various technologies that are integrated into digital agriculture to optimize agricultural operations. These technologies provide real-time information on soil health, crops conditions, weather patterns, and equipment performance that allow farmers to make informed decisions based on data which drives a positive effect on their efficiency in operations.

Other reasons for the market growth include the increasing use of precision farming techniques by farmers, government action towards sustainable agriculture, along with the need to produce more in spite of global warming and dwindling agricultural land resources. Also, appliance of machine learning, artificial intelligence, and cloud computing will be driving development of advanced tools and platforms for agriculture.

Deere & Company, Trimble Inc., and Bayer AG, who are among the significant market players, are investing enormously into R&D with an intention to introduce advanced digital solutions. Moreover, farmers are becoming increasingly aware of the advantages of making use of digital agriculture solutions, including reduced costs, better yields, and effective utilization of resources, thereby boosting the growth of the market. Despite that, impediments such as high initial costs, privacy issues related to data and skilled labor to operate these digital devices exist, resulting in slowed growth. In general terms, huge growth is expected in the United States digital agriculture market, hence changing the conventional methods of agriculture into data-centered practices through application of modern technology.

In May 2024, the Inter-American Institute for Cooperation on Agriculture (IICA) officially launched Digital Agriculture Week (DAW), an initiative that brings together the most significant players in the AgTech ecosystem of the Americas. The launch event signaled the start of the Pre-Week of Digital Agriculture, covering pertinent digitalization topics over the course of four days, carrying forward the discussions and initiatives in earlier editions.

Rapid Technological Advancements to Fuel Market Growth

Innovations in technology are greatly reshaping the digital agriculture market in the United States by propelling new ideas and improving farm efficiency. Such changes are most evident in areas such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, big data analytics, and cloud computing. For instance, IoT-enabled sensors are being utilized to gather real-time information on soil moisture levels, nutrient contents, and climatic conditions. This precision aids farmers in making choices around irrigation and fertilizer applications.

With the help of predictive insights generated by AI algorithms and machine learning algorithms, farmers are able to come up with more informed decisions regarding their crops and pest management. In addition, remote sensing technologies such as drones and satellite imaging provide images of high resolution about farmlands, allowing farmers to proactively identify crop stress and diseases. Furthermore, cloud-based farm management software gathers information from various sources creating a holistic understanding of the entire farming process thereby improving decision-making.

In August 2024, FieldView Drive 2.0, a portable plug-and-play gadget was launched by Bayer AG in the United States, that enables farmers to connect, track, and document operations and modeling of agricultural machinery. Farmers' engagement with digital solutions during planting, spraying, and harvesting is improved by the current iteration of the gadget, which offers more processing power, data storage, and connection stability in the field.

Increasing Adoption of Precision Farming Helps in Market Expansion

A significant driver for the growth of the United States digital agriculture market is an increase in demand for precision farming. To optimize field-level management of crops, precision farming utilizes advanced technologies, such as GPS guidance, variable rate technology (VRT), and automated machinery. As such, inputs such as water, fertilizers, and pesticides can be used more accurately, thereby minimizing waste while maximizing yield. This approach minimizes operational costs and enhances crop quality and sustainability through the efficient use of resources. In fact, in May 2022, in collaboration with Agricolus s.r.l., the global brand Yokohama TWS (Trelleborg) launched its new integrated platform to provide digital solutions for smart and sustainable farming. This platform brings together a single set of additional key data that assist farmers in increasing productivity and, at the same time, optimizing farm management via website and mobile application.

An increasing number of American farmers are recognizing the accuracy of modern farming. They are confronted with various problems, such as varied product prices at different places, weather pattern alterations, and stringent environmental conservation laws. Therefore, precision agriculture acts as an instrument that can help them remain profitable while conforming to legislative norms. Furthermore, precision agriculture is more accessible and easier to use due to improved digital technologies and machinery. It will lead to higher precision farming demands that would, in turn, fuel uptake for these technologies in the United States, thereby promoting effective and sustainable agricultural practices.

Robotics Holds a Substantial Market Share

In the United States digital agriculture market, huge robotics share is characterized by increased efficiency, precision, and labor optimization. Agricultural robots or robots are slowly becoming common in all farming processes, from planting to weeding, crop monitoring, and harvesting. Such robot machines have a high degree of accuracy and consistency and help to reduce dependence on manual labor, which is useful in a market that experiences labor shortages and rising wages of workers.

For instance, in November 2023, agritech business SeedSpider Inc. introduced its AI-enhanced robotic weeder, WeedSpider, in North America at the Agricultural Robotics Forum in California. With its ability to detect and eradicate weeds in a wide range of crops, WeedSpider's technology offers commercial vegetable producers a way to overcome their acute labor shortage issues. Additionally, the technology reduces the need for weed killers, increasing the sustainability and consumer health of farming.

Using robots in agriculture encourages sustainable methods of agriculture. The applications of robots in agriculture can aid in the reduction of soil compaction and increase plant health through targeted and accurate application of fertilizers and other inputs. Furthermore, robots are able to work at all hours and under different climatic conditions, thus ensuring uninterrupted production. There is an expected increase in their market share due to increased funding for agricultural robotics and the emergence of smarter and cheaper alternatives, making robotics a major pillar of the United States digital agri-business system.

Future Market Scenario (2024 - 2031F)

New innovative technologies such as artificial intelligence (AI), machine learning, blockchain, robotics, and Internet of Things (IoT) enabled gadgets that offer real-time data analysis, forecasting, and automatic functioning are expected to be embraced speedily.

Advancements in drone technology and satellite imagery will provide high-resolution field monitoring, thus minimizing losses and allowing for early detection of crop diseases and pest infestations.

Key Players Landscape and Outlook

The key players in the United States digital agriculture market are actively innovating to stay ahead of the competition and meet the evolving needs of modern farmers. These companies invest heavily in research and development to enhance their digital agriculture products, such as precision farming tools, farm management software, autonomous machinery, and advanced data analytics platforms. The market includes contributions from emerging startups that provide specialized solutions, such as drone technology, AI-driven analytics, and IoT-based farm monitoring systems, enhancing the technological landscape.

Strategic partnerships and mergers and acquisitions characterize the competitive environment as companies seek to broaden their technological capabilities and expand their market presence. The outlook for the digital agriculture sector is optimistic, with significant opportunities due to the growing demand for more sustainable and efficient farming practices. As digital tools and solutions become increasingly integral to agricultural operations, key players in the market are well-positioned to capitalize on increased investments in agricultural technology and the shift toward data-driven decision-making. This dynamic landscape will lead to continuous innovation and growth in the digital agriculture industry.

In October 2023, Deere & Company partnered with Sweden-based Delaval and Norway-based Yara on digital tools for precision agriculture that promote sustainability. Through the collaborations, farmers can collect data on livestock and fertilizer, enabling them to make more environmentally conscious business decisions.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

  • 4.1. Demographics (Age/Cohort Analysis - Baby Boomers and Gen X, Millennials, Gen Z; Gender; Income - Low, Mid and High; Geography; Nationality; etc.)
  • 4.2. Market Awareness and Product Information
  • 4.3. Brand Awareness and Loyalty
  • 4.4. Factors Considered in Purchase Decision
    • 4.4.1. Cost
    • 4.4.2. Return on Investment
    • 4.4.3. Ease of Use and Integration
    • 4.4.4. Scalability and Flexibility
    • 4.4.5. Reliability
    • 4.4.6. Accuracy
    • 4.4.7. Support and Training
    • 4.4.8. Compliance with Regulations
    • 4.4.9. Technology Compatibility
    • 4.4.10. Vendor Reputation and Experience
  • 4.5. Purchase Channel
  • 4.6. Frequency of Purchase
  • 4.7. Existing or Intended User

5. United States Digital Agriculture Market Outlook, 2017-2031F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Technology
      • 5.2.1.1. Peripheral Technology
        • 5.2.1.1.1. Apps
        • 5.2.1.1.2. Platforms
      • 5.2.1.2. Core Technology
        • 5.2.1.2.1. Robotics
        • 5.2.1.2.2. Automation
        • 5.2.1.2.3. Drones
        • 5.2.1.2.4. AI/ML
    • 5.2.2. By Type
      • 5.2.2.1. Hardware
        • 5.2.2.1.1. Automation and Control Systems
          • 5.2.2.1.1.1. Drones/UAVs
          • 5.2.2.1.1.2. Irrigation Controllers
          • 5.2.2.1.1.3. GPS/GNSS
          • 5.2.2.1.1.4. Displays
          • 5.2.2.1.1.5. Control Systems
          • 5.2.2.1.1.6. Flow and Application Control Devices
          • 5.2.2.1.1.7. Robotic Hardware
          • 5.2.2.1.1.8. Guidance and Steering
          • 5.2.2.1.1.9. Handheld Mobile Device/Computers
          • 5.2.2.1.1.10. LED Grow Lights
          • 5.2.2.1.1.11. HVAC Systems
          • 5.2.2.1.1.12. Others
        • 5.2.2.1.2. Sensing and Monitoring Devices
          • 5.2.2.1.2.1. Climate Sensors
          • 5.2.2.1.2.2. Soil Sensors
          • 5.2.2.1.2.3. Water Sensors
          • 5.2.2.1.2.4. Temperature and Environment Monitoring Sensors
          • 5.2.2.1.2.5. pH and Dissolved Oxygen Sensors
          • 5.2.2.1.2.6. Sensors for Smart Greenhouse
          • 5.2.2.1.2.7. Sensors for Livestock Monitoring
          • 5.2.2.1.2.8. EC Sensors
          • 5.2.2.1.2.9. Yield Monitors
          • 5.2.2.1.2.10. Camera Systems
          • 5.2.2.1.2.11. RFID and Sensors for Precision Forestry
          • 5.2.2.1.2.12. RFID Tags and Readers for Livestock Monitoring
          • 5.2.2.1.2.13. Others
      • 5.2.2.2. Software
        • 5.2.2.2.1. On-cloud
        • 5.2.2.2.2. On-premises
        • 5.2.2.2.3. AI and Data Analytics
      • 5.2.2.3. Services
        • 5.2.2.3.1. Maintenance and Support Services
        • 5.2.2.3.2. Connectivity Services
        • 5.2.2.3.3. System Integration and Consulting
        • 5.2.2.3.4. Assistant Professional Services
        • 5.2.2.3.5. Data Collection and Analytical Services
    • 5.2.3. By Operation
      • 5.2.3.1. Farming and Feeding
        • 5.2.3.1.1. Precision Agriculture
        • 5.2.3.1.2. Precision Aquaculture
        • 5.2.3.1.3. Precision Forestry
        • 5.2.3.1.4. Precision Animal Rearing and Feeding
        • 5.2.3.1.5. Smart Greenhouse
      • 5.2.3.2. Marketing and Demand Generation
      • 5.2.3.3. Monitoring and Scouting
    • 5.2.4. By Offering
      • 5.2.4.1. Financial Services
      • 5.2.4.2. Advisory Services
      • 5.2.4.3. Digital Procurement
      • 5.2.4.4. Precision Agriculture and Farm Management
      • 5.2.4.5. Quality Management and Traceability
      • 5.2.4.6. Agri E-Commerce
    • 5.2.5. By Region
      • 5.2.5.1. Northeast
      • 5.2.5.2. Midwest
      • 5.2.5.3. West
      • 5.2.5.4. South
    • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
  • 5.3. Market Map Analysis, 2023
    • 5.3.1. By Technology
    • 5.3.2. By Type
    • 5.3.3. By Operation
    • 5.3.4. By Offering
    • 5.3.5. By Region

All segments will be provided for all regions covered

6. Demand Supply Analysis

7. Value Chain Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Macro-economic Indicators

11. Pricing Analysis

12. Profit Margin Analysis

13. Market Dynamics

  • 13.1. Market Drivers
  • 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

  • 16.1. Competition Matrix of Top 5 Market Leaders
  • 16.2. Company Ecosystem Analysis (Startup v/s SME v/s Large-scale)
  • 16.3. SWOT Analysis for Top 5 Players
  • 16.4. Key Players Landscape for Top 10 Market Players
    • 16.4.1. Deere & Company
      • 16.4.1.1. Company Details
      • 16.4.1.2. Key Management Personnel
      • 16.4.1.3. Products and Services
      • 16.4.1.4. Financials (As Reported)
      • 16.4.1.5. Key Market Focus and Geographical Presence
      • 16.4.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 16.4.2. Trimble Inc.
    • 16.4.3. AGCO Corporation
    • 16.4.4. Raven Industries, Inc.
    • 16.4.5. A.A.A Taranis Visual Ltd.
    • 16.4.6. Corteva Agriscience
    • 16.4.7. Bayer AG
    • 16.4.8. Ag Leader Technology
    • 16.4.9. Syngenta Corporation
    • 16.4.10. Tule Technologies Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer

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