デジタル農業の米国市場の評価：技術別、タイプ別、業務別、提供別、地域別、機会、予測（2017年～2031年）

米国のデジタル農業の市場規模は、2023年の18億6,000万米ドルから2031年に67億7,000万米ドルに達すると予測され、2024年～2031年の予測期間にCAGRで17.50％の成長が見込まれます。米国で急速に変化するデジタル農業の情勢は、持続可能な農法、よりよい収穫高、よりスマートな農場管理に対するニーズの高まりに起因しています。精密農業、IoT、データマイニングと分析、ドローンとしても知られる無人航空機（UAV）、衛星画像、農場管理ソフトウェアなどは、農業経営を最適化するためにデジタル農業に統合されているさまざまな技術です。これらの技術は、土壌の健康状態、作物の状態、天候パターン、機器の性能に関するリアルタイムの情報を提供し、農家がデータに基づいた意思決定を行うことを可能にします。

市場成長の他の理由としては、農家による精密農業技術の使用の増加、持続可能な農業に向けた政府の動き、地球温暖化や農地資源の減少にもかかわらず、より多くの生産を行う必要性などが挙げられます。また、機械学習、AI、クラウドコンピューティングの利用が、農業向けの先進のツールやプラットフォームの開発を促進すると見られます。

Deere & Company、Trimble Inc、Bayer AGなどは、先進のデジタルソリューションを導入するため、研究開発に莫大な投資を行っています。さらに、農家はデジタル農業ソリューションを活用することで、コスト削減、収穫高の向上、資源の有効活用などの恩恵が得られることを認識するようになっており、市場の成長を後押ししています。にもかかわらず、高い初期費用、データに関するプライバシーの問題、これらのデジタル機器を操作する熟練労働者といった障害が存在し、結果として成長が鈍化しています。全般的に、米国のデジタル農業市場には大きな成長が見込まれており、その結果、現代技術の利用によって従来の農業手法がデータ中心の手法に変化することになります。

2024年5月、Inter-American Institute for Cooperation on Agriculture（IICA）は、南北アメリカのAgTechエコシステムにおけるもっとも重大な企業が一堂に会する取り組みであるDigital Agriculture Week（DAW）を正式に開始しました。この発表イベントは、Pre-Week of Digital Agricultureの開始を告げるもので、4日間にわたり、デジタル化に関連するトピックを取り上げ、前回の議論や取り組みを引き継ぎます。

急速な技術の進歩が市場成長を促進

技術の革新は、新しいアイデアを推進し、農場の効率を向上させることで、米国のデジタル農業市場を大きく再構築しています。このような変化は、IoT、AI、機械学習、ビッグデータアナリティクス、クラウドコンピューティングなどの分野でもっとも顕著です。例えば、IoT対応のセンサーは、土壌の水分レベル、養分含有量、気候条件に関するリアルタイムの情報収集に活用されています。この精度は、農家が灌漑や肥料散布に関する選択を行う際に役立ちます。

AIアルゴリズムや機械学習アルゴリズムによって生成される先見的な知見の助けを借りることで、農家は作物や害虫管理に関して、より多くの情報に基づいた決定を下すことができます。さらに、ドローンや衛星画像などのリモートセンシング技術は、農地の高解像度の画像を提供し、農家が作物のストレスや疾患を先回りして特定できるようにします。さらに、クラウドベースの農場管理ソフトウェアは、さまざまな資料から情報を収集し、農業プロセス全体を総合的に理解することで、意思決定を向上させます。

2024年8月、Bayer AGが米国で発売したFieldView Drive 2.0は、持ち運び可能なプラグアンドプレイのガジェットで、農家が農業機械の操作やモデリングを接続、追跡、記録できるようにします。植え付け、散布、収穫の際に農家がデジタルソリューションを活用することで、現場での処理能力、データの保管、接続の安定性が向上します。

当レポートでは、世界のデジタル農業市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢と見通しなどを提供しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

• 人口統計（年齢/コホート分析 - ベビーブーマー世代、X世代、ミレニアル世代、Z世代、性別、所得 - 低所得、中所得、高所得、地域、国籍など）
• 市場の認知度と製品情報
• ブランド認知度とロイヤルティ
• 購入決定において考慮される要素
• 購入チャネル
• 購入頻度
• 既存または予定ユーザー

第5章 米国のデジタル農業市場の見通し（2017年～2031年）

• 市場規模の分析と予測
  • 金額
• 市場シェア分析と予測
  • 技術別
  • タイプ別
  • 業務別
  • 提供別
  • 地域別
  • 市場シェア分析：企業別（金額）（上位5社とその他 - 2023年）
• 市場マップ分析（2023年）
  • 技術別
  • タイプ別
  • 業務別
  • 提供別
  • 地域別

第6章 需給分析

第7章 バリューチェーン分析

第8章 ポーターのファイブフォース分析

第9章 PESTLE分析

第10章 マクロ経済指標

第11章 価格分析

第12章 利益率分析

第13章 市場力学

• 市場促進要因
• 市場の課題

第14章 市場の動向と発展

第15章 ケーススタディ

第16章 競合情勢

• マーケットリーダー上位5社の競合マトリクス
• 企業エコシステム分析（スタートアップ vs.中小企業 vs.大規模企業）
• 上位5社のSWOT分析
• 主要企業上位10社の情勢
  • 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 戦略的推奨

第18章 当社について、免責事項

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

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