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市場調查報告書
商品編碼
1555051

數位農業的美國市場的評估:各技術，各類型，各業務，各提供，各地區，機會，預測(2017年～2031年)

United States Digital Agriculture Market Assessment, By Technology, By Type, By Operation, By Offering, By Region, Opportunities and Forecast, 2017-2031F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 135 Pages | 商品交期: 3-5個工作天內

價格

美國數位農業市場規模預計將從 2023 年的 18.6 億美元增至 2031 年的 67.7 億美元，預計 2024-2031 年的複合年增長率為 17.50%。美國快速變化的數位農業格局是由對永續農業實踐、更高產量和更智慧農場管理日益增長的需求所推動的。精準農業、物聯網、資料探勘與分析、無人機（UAV）、衛星影像、農場管理軟體等都是正在融入數位農業以優化農場運作的各種技術。這些技術提供有關土壤健康、作物健康、天氣模式和設備性能的即時信息，使農民能夠做出數據驅動的決策。

市場成長的其他原因包括農民更多地使用精準農業技術、政府轉向永續農業，以及儘管全球暖化和農業資源減少但仍需要增加產量。此外，機器學習、人工智慧和雲端運算的使用預計將推動先進農業工具和平台的開發。

Deere & Company、Trimble Inc、Bayer AG 等公司正在大力投資研發以實施先進的數位解決方案。此外，農民越來越認識到利用數位農業解決方案的好處，例如更低的成本、更高的產量和更好的資源利用率，從而推動市場成長。然而，高昂的初始成本、資料隱私問題以及操作這些數位設備的熟練勞動力等障礙仍然存在，導致成長放緩。總體而言，美國數位農業市場預計將出現顯著增長，透過使用現代技術將傳統農業方法轉變為以數據為中心的農業方法。

2024 年 5 月，美洲農業合作研究所 (IICA) 正式啟動數位農業週 (DAW)，該倡議匯集了美洲農業科技生態系統中最重要的公司。這項啟動活動標誌著數位農業週前週的開始，該週將涵蓋為期四天的數位化相關主題，並以先前的討論和舉措為基礎。

快速的技術進步推動市場成長

技術創新透過推動新理念和提高農場效率，正在顯著重塑美國數位農業市場。這些變化在物聯網、人工智慧、機器學習、大數據分析和雲端運算等領域最為明顯。例如，支援物聯網的感測器被用來收集有關土壤濕度、養分含量和氣候條件的即時資訊。這種準確性有助於農民做出有關灌溉和施肥的決策。

借助人工智慧和機器學習演算法產生的主動見解，農民可以就作物和害蟲管理做出更明智的決策。此外，無人機和衛星影像等遙感技術可提供農田的高解析度影像，使農民能夠主動識別作物脅迫和疾病。此外，基於雲端的農場管理軟體透過從各種來源收集資訊並提供對整個農業過程的全面了解來改善決策。

FieldView Drive 2.0 由拜耳公司於 2024 年 8 月在美國推出，是一款便攜式、即插即用的小工具，允許農民連接、追蹤和記錄農業機械操作和建模。在種植、噴灑和收穫時，農民使用數位解決方案來提高田間吞吐量、資料儲存和連接性。

本報告針對全球數位農業市場進行研究和分析，提供市場規模和預測、市場動態、主要參與者的現狀和前景等。

目錄

第1章 計劃的範圍和定義

第2章 調查手法

第3章 摘要整理

第4章 客戶的迴響

  • 人口統計(年齡/世代分析 - 嬰兒潮世代，X世代，千禧新生代，Z世代，性別，所得 - 低所得，中所利益，高所得，地區，國籍等)
  • 市場認知度與產品資訊
  • 品牌認知度和忠誠度
  • 購買決策時考慮的因素
  • 購買流通管道
  • 購買頻率
  • 現有或預定用戶

第5章 美國的數位農業市場預測(2017年～2031年)

  • 市場規模的分析與預測
    • 金額
  • 市場佔有率分析與預測
    • 各技術
    • 各類型
    • 各業務
    • 各提供
    • 各地區
    • 市場佔有率分析:各企業(金額)(前五名公司和其他 - 2023年)
  • 市場地圖分析(2023年)
    • 各技術
    • 各類型
    • 各業務
    • 各提供
    • 各地區

第6章 供需分析

第7章 價值鏈分析

第8章 波特的五力分析

第9章 大環境分析

第10章 宏觀經濟指標

第11章 價格分析

第12章 報酬率分析

第13章 市場動態

  • 推動市場要素
  • 市場課題

第14章 市場趨勢與發展

第15章 案例研究

第16章 競爭情形

  • 市場領導者前五名公司的競爭矩陣
  • 企業生態系統分析(Start-Ups vs.中小企業 vs.大規模企業)
  • 前五名公司的SWOT分析
  • 主要企業前十大企業的形勢
    • 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.

第17章 策略性推薦

第18章 本公司相關資料，免責聲明

Product Code: MX11888

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

List of Tables

  • Table 1. Pricing Analysis of Products from Key Players
  • Table 2. Competition Matrix of Top 5 Market Leaders
  • Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. United States Digital Agriculture Market, By Value, In USD Billion, 2017-2031F
  • Figure 2. United States Digital Agriculture Market Share (%), By Technology, 2017-2031F
  • Figure 3. United States Digital Agriculture Market Share (%), By Type, 2017-2031F
  • Figure 4. United States Digital Agriculture Market Share (%), By Operation, 2017-2031F
  • Figure 5. United States Digital Agriculture Market Share (%), By Offering, 2017-2031F
  • Figure 6. United States Digital Agriculture Market Share (%), By Region, 2017-2031F
  • Figure 7. By Technology Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 8. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 9. By Operation Size Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 10. By Offering Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 11. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023