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세계의 농업용 AI 시장(2020-2026년) : 제품, 용도, 국가별

Artificial Intelligence in Agriculture Market - A Global and Regional Analysis: Focus on Product, Application, and Country Analysis - Analysis and Forecast, 2020-2026

리서치사 BIS Research Inc.
발행일 2021년 12월 상품코드 1044836
페이지 정보 영문 배송안내 1-2일 (영업일 기준)
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세계의 농업용 AI 시장(2020-2026년) : 제품, 용도, 국가별 Artificial Intelligence in Agriculture Market - A Global and Regional Analysis: Focus on Product, Application, and Country Analysis - Analysis and Forecast, 2020-2026
발행일 : 2021년 12월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 농업용 AI 시장 규모는 예측 기간 중 30.56%의 CAGR로 추이하며, 2026년에는 66억 5,510만 달러 규모로 성장할 것으로 예측됩니다.

2010년 이후, 농업 솔루션에 대한 AI의 도입은 특히 중규모·대규모 농가에서 증가하고 있습니다. 이 솔루션의 이점에 관한 인식 향상에 의해 이 솔루션의 채택률이 높아지고 있습니다. 또한 세계 일부 지역에서 기술의 진보도 농가에 의한 농업용 AI의 도입을 촉진하고 있습니다.

지역별로 보면 북미 지역이 2020년에 5억 9,870만 달러로 최대 규모를 보이고 있습니다. 이 지역에서는 기술의 진보 및 정부에 의한 지원이 시장 성장에 기여하고 있습니다. 이 지역은 예측 기간 중 29.88%의 CAGR로 높은 성장이 전망됩니다.

세계의 농업용 AI 시장을 조사했으며, 시장 개요, 시장 영향요인 분석, 시장 규모의 추이·예측, 제품·용도·지역/주요 국가 등 각종 부문별 내역, 경쟁 환경, 주요 기업의 개요 등을 정리하여 전해드립니다.

목차

제1장 시장

  • 산업의 전망
    • 시장의 정의
    • 에코시스템/진행중인 프로그램
  • 사업 역학
    • 사업 성장요인
    • 사업상 과제
    • 사업 전략
    • 기업 전략
    • 사업 기회

제2장 용도

  • 농업용 AI 시장 : 용도별
    • 농업용 AI 시장 : 농업 유형별
    • 농업용 AI 시장 : 최종사용자별
  • 수요 분석 : 용도별
    • 수요 분석 : 농업 유형별
    • 수요 분석 : 최종사용자별

제3장 제품

  • 농업용 AI 시장 : 제품별
    • 소프트웨어
    • 하드웨어
    • AIaaS
    • 지원 서비스
  • 수요 분석 : 제품별
  • 특허 분석
  • 밸류체인 분석

제4장 지역

  • 북미
  • 유럽
  • 영국
  • 중국
  • 아시아태평양
  • 기타 지역

제5장 벤치마킹·기업 개요

  • 경쟁 벤치마킹
  • 시장 점유율 분석
  • 기업 개요
    • Deere & Company
    • Microsoft Corporation
    • CNH Industrial N.V.
    • Robert Bosch GmbH
    • Granular Inc.
    • Harvest Crop Robotics, LLC
    • Agrivi
    • CropIn Technology Solutions Pvt Ltd.
    • Alibaba Group Holding Limited
    • The Climate Corporation
    • Descartes Labs, Inc.
    • PrecisionHawk, Inc.
    • Ceres Imaging
    • IBM Corporation
    • Prospera Technologies
    • 기타 기업

제6장 조사 방법

KSA 22.01.20

List of Figures

  • Figure 1: Microeconomic Indicators Impacting AI in Agriculture Market
  • Figure 2: Market Dynamics of the Global AI in Agriculture Market, Drivers, and Challenges
  • Figure 3: Global AI in Agriculture Market, $Billion, 2020-2026
  • Figure 4: Global AI in Agriculture Market (by Farming Type), $Million, 2020 and 2026
  • Figure 5: Global AI in Agriculture (by Solution), $Million, 2020-2026
  • Figure 6: Global AI in Agriculture (by Application), $Million, 2020-2026
  • Figure 7: Global AI in Agriculture Market (by Region), $Million, 2020
  • Figure 8: Global AI in Agriculture Market Coverage
  • Figure 9: Classification of Artificial Intelligence
  • Figure 10: AI in Smart Farming Architecture
  • Figure 11: Global Artificial Intelligence in Agriculture Market Ecosystem
  • Figure 12: Government Initiatives Landscape in North America
  • Figure 13: Government Initiatives Landscape in Europe
  • Figure 14: Government Initiatives Landscape in Asia-Pacific
  • Figure 15: Government Initiatives Landscape in Rest-of-the-World
  • Figure 16: Average Data Points Generated from Agricultural IoT Devices Daily, 2014 and 2050
  • Figure 17: Employment in Agriculture, by Region
  • Figure 18: Share of Key Market Strategies and Developments, 2017-2021
  • Figure 19: Product Development and Innovation (by Company), 2018-2021
  • Figure 20: Market Developments (by Company), 2017-2021
  • Figure 21: Mergers and Acquisitions (by Company), 2017-2021
  • Figure 22: Partnerships, Collaborations, and Joint Ventures (by Company), 2017-2021
  • Figure 23: Global Artificial Intelligence in Agriculture Market (by Farming Type)
  • Figure 24: Global Artificial Intelligence in Agriculture Market (by End Use)
  • Figure 25: Global Agriculture Technology-as-a-Service Market (by Service Type)
  • Figure 26: Patents Filed or Granted for the Global Smart Farming Market, January 2018-October 2021
  • Figure 27: Patent Analysis (by Patent Office), January 2017-October 2021
  • Figure 28: Patent Analysis (by Organization), January 2017-October 2021
  • Figure 29: Smart Farming Technologies in Agricultural Value Chain
  • Figure 30: Competitive Market High and Low Matrix
  • Figure 31: Market Share Analysis of AI in Agriculture Equipment Manufacturers, 2020
  • Figure 32: Data Triangulation
  • Figure 33: Top-Down and Bottom-Up Approach
  • Figure 34: Assumptions and Limitations

List of Tables

  • Table 1: Key Consortiums and Associations in Global Artificial Intelligence in Agriculture Market
  • Table 2: AI Products by Key Companies for Field Farming in Global Artificial Intelligence in Agriculture Market
  • Table 3: AI Products by Key Companies for Indoor Farming in Global Artificial Intelligence in Agriculture Market
  • Table 4: AI Products by Key Companies for Livestock Farming in Global Artificial Intelligence in Agriculture Market
  • Table 5: AI Products by Key Companies for Other Farming Types in Global Artificial Intelligence in Agriculture Market
  • Table 6: Key Crop Protection Products in Global Artificial Intelligence in Agriculture Market
  • Table 7: Key Weather Forecasting Products in Global Artificial Intelligence in Agriculture Market
  • Table 8: Key Precision Farming Products in Global Artificial Intelligence in Agriculture Market
  • Table 9: Key Farm Machinery Automation Products in Global Artificial Intelligence in Agriculture Market
  • Table 10: Key Crop Growth Assessment Products in Global Artificial Intelligence in Agriculture Market
  • Table 11: Other Products in Global Artificial Intelligence in Agriculture Market
  • Table 12: Key Animal Growth Monitoring Products in Global Artificial Intelligence in Agriculture Market
  • Table 13: Key Animal Health Monitoring Products in Global Artificial Intelligence in Agriculture Market
  • Table 14: Other Livestock and Aquaculture Products in Global Artificial Intelligence in Agriculture Market
  • Table 15: Global Artificial Intelligence in Agriculture Market (by Farming Type), $Million, 2020-2026
  • Table 16: Global Artificial Intelligence in Agriculture Market (by End Use), $Million, 2020-2026
  • Table 17: Global Artificial Intelligence in Agriculture Market (by Crops, Fruits, Vegetables, and Other Plants), $Million, 2020-2026
  • Table 18: Global Artificial Intelligence in Agriculture Market (by Livestock and Aquaculture), $Million, 2020-2026
  • Table 19: Key Players with Artificial Intelligence-Based Software
  • Table 20: Key Players with Artificial Intelligence Based Hardware
  • Table 21: Key Players with Artificial Intelligence-as-a-Service Products
  • Table 22: Key Players with Artificial Intelligence-Based Support Services
  • Table 23: Global Artificial Intelligence in Agriculture Market (by Product), $Million, 2020-2026
  • Table 24: Global Artificial Intelligence in Agriculture Market (by Region), $Million, 2020-2026
  • Table 25: North America Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 26: Europe Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 27: U.K. Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 28: China Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 29: Asia-Pacific Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 30: Rest-of-the-World Artificial Intelligence in Agriculture Market (by Country), $Million, 2020-2026
  • Table 31: Deere & Company: Service Portfolio
  • Table 32: Deere & Company: Market Developments
  • Table 33: Deere & Company: Product Developments
  • Table 34: Deere & Company: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 35: Deere & Company: Mergers & Acquisitions
  • Table 36: Microsoft Corporation: Service Portfolio
  • Table 37: Microsoft Corporation: Market Developments
  • Table 38: Microsoft Corporation: Product Launch
  • Table 39: Microsoft Corporation: Partnerships, Joint Ventures, Collaborations and Alliances
  • Table 40: CNH Industrial N.V.: Service Portfolio
  • Table 41: CNH Industrial N.V.: Partnerships, Joint Ventures, Collaborations and Alliances
  • Table 42: CNH Industrial N.V.: Mergers and Acquisitions
  • Table 43: Robert Bosch GmbH: Service Portfolio
  • Table 44: Robert Bosch GmbH: Product Launch
  • Table 45: Robert Bosch GmbH: Partnerships, Joint Ventures, Collaborations and Alliances
  • Table 46: Granular Inc.: Service Portfolio
  • Table 47: Granular Inc.: Partnerships, Collaborations, Joint Ventures, and Alliances
  • Table 48: Harvest Crop Robotics, LLC: Service Portfolio
  • Table 49: Agrivi: Service Portfolio
  • Table 50: Agrivi: Product Launch
  • Table 51: Agrivi: Partnership, Collaboration, Joint Ventures, and Alliances
  • Table 52: Agrivi: Mergers & Acquisitions
  • Table 53: CropIn Technology Solutions Pvt Ltd.: Service Portfolio
  • Table 54: CropIn Technology Solutions Pvt Ltd.: Product Developments
  • Table 55: CropIn Technology Solutions Pvt Ltd.: Partnerships, Collaborations, Joint Ventures, and Alliances
  • Table 56: Alibaba Group Holding Limited: Service Portfolio
  • Table 57: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 58: The Climate Corporation: Service Portfolio
  • Table 59: The Climate Corporation: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 60: Descartes Labs, Inc.: Service Portfolio
  • Table 61: Descartes Labs, Inc.: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 62: PrecisionHawk, Inc.: Service Portfolio
  • Table 63: PrecisionHawk, Inc.: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 64: PrecisionHawk, Inc.: Mergers and Acquisitions
  • Table 65: Ceres Imaging: Service Portfolio
  • Table 66: Ceres Imaging: Product Developments
  • Table 67: Ceres Imaging: Partnerships, Collaborations, Joint Ventures and Alliances
  • Table 68: IBM Corporation: Service Portfolio
  • Table 69: IBM Corporation: Product Developments
  • Table 70: IBM Corporation: Partnerships, Joint Ventures, Collaborations and Alliances
  • Table 71: Prospera Technologies: Service Portfolio
  • Table 72: Partnerships, Joint Ventures, Collaborations, and Alliances
  • Table 73: Other Key Players Operating in Global Artificial Intelligence in Agriculture Market

“Global Artificial Intelligence (AI) in Agriculture Market to Reach $6,655.1 Million by 2026.”

Market Report Coverage - Artificial Intelligence (AI) in Agriculture

Market Segmentation

  • Farming Type: Field Farming, Indoor Farming, Livestock Farming, Others
  • End Use: Crops, Fruits, Vegetables, and Other Plants; Livestock and Aquaculture
  • Product: Software, Hardware, Artificial Intelligence-as-a-Service (AIaaS), Support Services

Regional Segmentation

  • North America: U.S., Canada, and Mexico
  • Europe: Germany, France, Netherlands, Italy, Spain, and Rest-of-Europe
  • U.K.
  • China
  • Asia-Pacific: India, Japan, Australia, and Rest-of-Asia-Pacific
  • Rest-of-the-World: Brazil, Argentina, South Africa, Israel

Market Growth Drivers

  • Need for Increased Agricultural Production
  • Complexities in Data-Driven Farming
  • Increased Demand for Automation in Agriculture

Market Challenges

  • Data Privacy Concerns Among Farmers
  • Lack of Required Infrastructure in Developing Countries

Market Opportunities

  • Increased Government Initiatives Supporting AI in Agriculture
  • Increased Implementation of Robots and Drones in Agriculture
  • Rise in Adoption of SaaS Business Model in Agriculture

Key Companies Profiled

Deere & Company, Microsoft Corporation, CNH Industrial N.V., Robert Bosch GmbH, Granular Inc., Harvest Crop Robotics, LLC, Agrivi, CropIn Technology Solutions Pvt Ltd., Alibaba Group Holding Limited, The Climate Corporation, Descartes Labs, Inc., PrecisionHawk, Inc., Ceres Imaging, IBM Corporation, Prospera Technologies

How This Report Can Add Value

This extensive report on global artificial intelligence in agriculture market will help you with:

  • The report covers product, application, and regional market estimations for the artificial intelligence in agriculture market.
  • Extensive competitive benchmarking of the top 15 players (including OEMs and equipment providers) has been done to offer a holistic view of the global artificial intelligence in agriculture market landscape.

Product/Innovation Strategy: The product segment helps the reader in understanding the different types of artificial intelligence in agriculture solutions for the agriculture industry and their potential globally. Moreover, the study provides the reader a detailed understanding of the operation of different artificial intelligence in agriculture products (i.e., software, hardware, artificial intelligence-as-a-service, and support services).

Recent Developments in Artificial Intelligence in Agriculture Market

  • In May 2021, Robert Bosch unveiled its new artificial intelligence based IoT platform to keep real time track of energy consumption, electrical parameters in healthcare, agriculture, and other sectors.
  • In November 2020, Deere & Company introduced AutoPath for more accurate row guidance throughout the season.
  • In November 202, CLAAS KGaA mbH launched the cloud-based DataConnect system that enables the exchange of machinery data between CLAAS, 365FarmNet, and Deere & Company.
  • In September 2020, Agrivi launched Agrivi Farm Fleet that enables farmers to have real-time access to their fuel usage and machinery.

Key Questions Answered in the Report

  • What is the estimated global artificial intelligence in agriculture market size in terms of revenue for the forecast period 2021-2026, and what is the expected compound annual growth rate (CAGR) during the forecast period 2021-2026?
  • What are the key trends, market drivers, and opportunities in the market pertaining to artificial intelligence in agriculture?
  • What are the major restraints inhibiting the growth of global artificial intelligence in agriculture market?
  • What kinds of new strategies are being adopted by the existing market players to strengthen their market position in the industry?
  • What is the competitive strength of the key players in the artificial intelligence in agriculture market based on an analysis of their recent developments, product offerings, and regional presence?
  • How is the competitive benchmarking of the key artificial intelligence in agriculture companies in the agriculture market based on the analysis of their market coverage and market potential?
  • How much revenue is each segment expected to record during the forecast period, along with the growth percentage?
  • What is the type of players and stakeholders operating in the market ecosystem of artificial intelligence in agriculture, and what is their significance in the global market?

Artificial Intelligence (AI) in Agriculture

Artificial intelligence technology brings the concept of cognitive computing to agriculture, where the farm equipment intelligence is modeled on human intelligence. Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agricultural input choices and farm process planning.

The capabilities enabled by this technology allow the farm equipment and solutions to interpret, acquire, and react to unpredictable farm situations with enhanced efficiency.

Since 2010, the adoption of artificial intelligence in agriculture solutions has increased, especially by medium and large-scale farmers. Increased awareness regarding the benefits of these solutions has increased the adoption rate of these solutions. High technological advancement in some regions of the world is another driver toward the adoption of artificial intelligence in agriculture solutions by farmers.

Global Artificial Intelligence (AI) in Agriculture Market Overview

The global artificial intelligence in agriculture market is expected to reach $6,655.1 million by 2026, with a CAGR of 30.56% during the forecast period 2021-2026. The growth rate in the market is because of the increased awareness of artificial intelligence-based solutions in some regions of the world.

Impact of COVID-19

The supply chain for the majority of the industries across the globe got impacted due to the COVID-19 pandemic, including the artificial intelligence in agriculture industry. During the COVID-19 outbreak, the supply chain of the agriculture industry was disrupted. During the COVID-19 pandemic, agricultural production was hindered for farmers, which led to a decrease in their revenue generation. This has left the farmers in no position to invest in modern agricultural equipment.

Market Segmentation

AI in Agriculture Market by Farming Type

The farming type segment in the application for artificial intelligence in agriculture market is expected to be dominated by field farming. The majority of the farmers around the world still engage in traditional farming, which is expected to drive artificial intelligence in agriculture market in the forecast period.

AI in Agriculture Market by End Use

The end use segment in the application of artificial intelligence in agriculture market is expected to be dominated by crops, fruits, vegetables, and other plants. The primary focus of all farmers around the world is to increase agricultural production, which is expected to increase the adoption of artificial intelligence products in the agricultural industry.

AI in Agriculture Market by Product

The global artificial intelligence in agriculture market in the product segment is expected to be dominated by software products. The high market share and growth potential associated with software products in the agriculture industry is expected to drive the global artificial intelligence in agriculture market.

AI in Agriculture Market by Region

North America generated the highest revenue of $598.7 million in 2020, which is attributed to the technological advancements in the North America region. In the region, government support along with technological advancement has helped in the growth of the market. The region is expected to witness high growth of CAGR 29.88% during the forecast period 2021-2026.

Key Market Players and Competition Synopsis

Some of the key players operating in the market include: Agrivi, Alibaba Group Holding Limited, Ceres Imaging, CNH Industrial N.V., Granular Inc., Harvest Crop Robotics, LLC, IBM Corporation, Microsoft Corporation, Prospera Technologies, Robert Bosch GmbH, The Climate Corporation., among others.

The companies that are profiled in the report have been selected based on the selective pool of players, primarily Tier-1 (holding 50-60% of the market), mid-segment players (comprising 30-40% share), and small and emerging companies (holding the balance 10-20% share), based on various factors such as product portfolio, annual revenues, market penetration, research, and development initiatives, along with a domestic and international presence in the artificial intelligence in agriculture industry.

Table of Contents

1 Markets

  • 1.1 Industry Outlook
    • 1.1.1 Market Definition
    • 1.1.2 Ecosystem/Ongoing Programs
      • 1.1.2.1 Consortiums and Associations
      • 1.1.2.2 Government Initiatives Landscape
        • 1.1.2.2.1 North America
        • 1.1.2.2.2 Europe
        • 1.1.2.2.3 Asia-Pacific
        • 1.1.2.2.4 Rest-of-the-World
  • 1.2 Business Dynamics
    • 1.2.1 Business Drivers
      • 1.2.1.1 Need for Increased Agricultural Production
      • 1.2.1.2 Complexities in Data-Driven Farming
      • 1.2.1.3 Increased Demand for Automation in Agriculture
    • 1.2.2 Business Challenges
      • 1.2.2.1 Data Privacy Concerns Among Farmers
      • 1.2.2.2 Lack of Required Infrastructure in Developing Countries
    • 1.2.3 Business Strategies
      • 1.2.3.1 Product Development
      • 1.2.3.2 Market Developments
      • 1.2.3.3 Other Strategies
    • 1.2.4 Corporate Strategies
      • 1.2.4.1 Mergers and Acquisitions
      • 1.2.4.2 Partnerships, Collaborations, and Joint Ventures
    • 1.2.5 Business Opportunities
      • 1.2.5.1 Increased Government Initiatives Supporting AI in Agriculture
      • 1.2.5.2 Increased Implementation of Robots and Drones in Agriculture
      • 1.2.5.3 Rise in Adoption of SaaS Business Model in Agriculture

2 Application

  • 2.1 Global Artificial Intelligence in Agriculture Market (by Application)
    • 2.1.1 Global Artificial Intelligence in Agriculture Market (by Farming Type)
      • 2.1.1.1 Field Farming
      • 2.1.1.2 Indoor Farming
      • 2.1.1.3 Livestock Farming
      • 2.1.1.4 Others
    • 2.1.2 Global Artificial Intelligence in Agriculture Market (by End Use)
      • 2.1.2.1 Crops, Fruits, Vegetables, and Other Plants
        • 2.1.2.1.1 Crop Protection
        • 2.1.2.1.2 Weather Forecasting
        • 2.1.2.1.3 Precision Farming
        • 2.1.2.1.4 Farm Machinery Automation
        • 2.1.2.1.5 Crop Growth Assessment
        • 2.1.2.1.6 Others
      • 2.1.2.2 Livestock and Aquaculture
        • 2.1.2.2.1 Animal Growth Monitoring
        • 2.1.2.2.2 Animal Health Monitoring
        • 2.1.2.2.3 Others
  • 2.2 Demand Analysis of Global Artificial Intelligence in Agriculture Market (by Application)
    • 2.2.1 Demand Analysis of Global Artificial Intelligence in Agriculture Market (by Farming Type)
    • 2.2.2 Demand Analysis of Global Artificial Intelligence in Agriculture Market (by End Use)

3 Products

  • 3.1 Global Artificial Intelligence in Agriculture Market (by Product)
    • 3.1.1 Software
    • 3.1.2 Hardware
    • 3.1.3 Artificial Intelligence-as-a-Service (AIaaS)
    • 3.1.4 Support Services
  • 3.2 Demand Analysis of Global Artificial Intelligence in Agriculture Market (by Product)
  • 3.3 Patent Analysis
    • 3.3.1 Patent Analysis (by Patent Office)
    • 3.3.2 Patent Analysis (by Organization)
  • 3.4 Value Chain Analysis

4 Region

  • 4.1 North America
    • 4.1.1 Market
      • 4.1.1.1 Key Providers in North America
      • 4.1.1.2 Business Drivers
      • 4.1.1.3 Business Challenges
    • 4.1.2 North America (by Country)
      • 4.1.2.1 U.S.
        • 4.1.2.1.1 Market
          • 4.1.2.1.1.1 Buyer Attributes
          • 4.1.2.1.1.2 Key Providers Operating in the U.S.
          • 4.1.2.1.1.3 Business Challenges
          • 4.1.2.1.1.4 Business Drivers
      • 4.1.2.2 Canada
        • 4.1.2.2.1 Market
          • 4.1.2.2.1.1 Buyer Attributes
          • 4.1.2.2.1.2 Key Providers Operating in Canada
          • 4.1.2.2.1.3 Business Challenges
          • 4.1.2.2.1.4 Business Drivers
      • 4.1.2.3 Mexico
        • 4.1.2.3.1 Market
          • 4.1.2.3.1.1 Buyer Attributes
          • 4.1.2.3.1.2 Key Providers Operating in Mexico
          • 4.1.2.3.1.3 Business Challenges
          • 4.1.2.3.1.4 Business Drivers
  • 4.2 Europe
    • 4.2.1 Market
      • 4.2.1.1 Key Providers in Europe
      • 4.2.1.2 Business Drivers
      • 4.2.1.3 Business Challenges
    • 4.2.2 Europe (by Country)
      • 4.2.2.1 Germany
        • 4.2.2.1.1 Market
          • 4.2.2.1.1.1 Buyer Attributes
          • 4.2.2.1.1.2 Key Providers Operating in Germany
          • 4.2.2.1.1.3 Business Challenges
          • 4.2.2.1.1.4 Business Drivers
      • 4.2.2.2 France
        • 4.2.2.2.1 Market
          • 4.2.2.2.1.1 Buyer Attributes
          • 4.2.2.2.1.2 Key Providers Operating in France
          • 4.2.2.2.1.3 Business Challenges
          • 4.2.2.2.1.4 Business Drivers
      • 4.2.2.3 Italy
        • 4.2.2.3.1 Market
          • 4.2.2.3.1.1 Buyer Attributes
          • 4.2.2.3.1.2 Key Providers Operating in Italy
          • 4.2.2.3.1.3 Business Challenges
          • 4.2.2.3.1.4 Business Drivers
      • 4.2.2.4 Netherlands
        • 4.2.2.4.1 Market
          • 4.2.2.4.1.1 Buyer Attributes
          • 4.2.2.4.1.2 Key Providers Operating in the Netherlands
          • 4.2.2.4.1.3 Business Challenges
          • 4.2.2.4.1.4 Business Drivers
      • 4.2.2.5 Spain
        • 4.2.2.5.1 Market
          • 4.2.2.5.1.1 Buyer Attributes
          • 4.2.2.5.1.2 Key Providers Operating in Spain
          • 4.2.2.5.1.3 Business Challenges
          • 4.2.2.5.1.4 Business Drivers
      • 4.2.2.6 Rest-of-Europe
        • 4.2.2.6.1 Market
          • 4.2.2.6.1.1 Buyer Attributes
          • 4.2.2.6.1.2 Key Providers Operating in the Rest-of-Europe
          • 4.2.2.6.1.3 Business Challenges
          • 4.2.2.6.1.4 Business Drivers
  • 4.3 U.K.
    • 4.3.1 Markets
      • 4.3.1.1 Buyer Attributes
      • 4.3.1.2 Key Providers in the U.K.
      • 4.3.1.3 Business Challenges
      • 4.3.1.4 Business Drivers
  • 4.4 China
    • 4.4.1 Markets
      • 4.4.1.1 Buyer Attributes
      • 4.4.1.2 Key Providers in China
      • 4.4.1.3 Business Challenges
      • 4.4.1.4 Business Drivers
  • 4.5 Asia-Pacific
    • 4.5.1 Market
      • 4.5.1.1 Key Providers in Asia-Pacific
      • 4.5.1.2 Business Drivers
      • 4.5.1.3 Business Challenges
    • 4.5.2 Asia-Pacific (by Country)
      • 4.5.2.1 Japan
        • 4.5.2.1.1 Market
          • 4.5.2.1.1.1 Buyer Attributes
          • 4.5.2.1.1.2 Key Providers in Japan
          • 4.5.2.1.1.3 Business Challenges
          • 4.5.2.1.1.4 Business Drivers
      • 4.5.2.2 India
        • 4.5.2.2.1 Market
          • 4.5.2.2.1.1 Buyer Attributes
          • 4.5.2.2.1.2 Key Providers in India
          • 4.5.2.2.1.3 Business Challenges
          • 4.5.2.2.1.4 Business Drivers
      • 4.5.2.3 Australia
        • 4.5.2.3.1 Market
          • 4.5.2.3.1.1 Buyer Attributes
          • 4.5.2.3.1.2 Key Providers Operating in Australia
          • 4.5.2.3.1.3 Business Challenges
          • 4.5.2.3.1.4 Business Drivers
      • 4.5.2.4 Rest-of-Asia-Pacific
        • 4.5.2.4.1 Market
          • 4.5.2.4.1.1 Buyer Attributes
          • 4.5.2.4.1.2 Key Providers Operating in Rest-of-Asia Pacific
          • 4.5.2.4.1.3 Business Challenges
          • 4.5.2.4.1.4 Business Drivers
  • 4.6 Rest-of-the-World
    • 4.6.1 Market
      • 4.6.1.1 Key Providers in Rest-of-the-World
      • 4.6.1.2 Business Drivers
      • 4.6.1.3 Business Challenges
    • 4.6.2 Rest-of-the-World (by Country)
      • 4.6.2.1 Brazil
        • 4.6.2.1.1 Market
          • 4.6.2.1.1.1 Buyer Attributes
          • 4.6.2.1.1.2 Key Providers Operating in Brazil
          • 4.6.2.1.1.3 Business Challenges
          • 4.6.2.1.1.4 Business Drivers
      • 4.6.2.2 Argentina
        • 4.6.2.2.1 Market
          • 4.6.2.2.1.1 Buyer Attributes
          • 4.6.2.2.1.2 Key Providers Operating in Argentina
          • 4.6.2.2.1.3 Business Challenges
          • 4.6.2.2.1.4 Business Drivers
      • 4.6.2.3 South Africa
        • 4.6.2.3.1 Market
          • 4.6.2.3.1.1 Buyer Attributes
          • 4.6.2.3.1.2 Key Providers Operating in South Africa
          • 4.6.2.3.1.3 Business Challenges
          • 4.6.2.3.1.4 Business Drivers
      • 4.6.2.4 Israel
        • 4.6.2.4.1 Market
          • 4.6.2.4.1.1 Buyer Attributes
          • 4.6.2.4.1.2 Key Providers Operating in Israel
          • 4.6.2.4.1.3 Business Challenges
          • 4.6.2.4.1.4 Business Drivers

5 Markets - Competitive Benchmarking & Company Profiles

  • 5.1 Competitive Benchmarking
  • 5.2 Market Share Analysis
  • 5.3 Company Profiles
    • 5.3.1 Deere & Company
      • 5.3.1.1 Company Overview
      • 5.3.1.2 Role of Deere & Company in Artificial Intelligence in Agriculture Market
      • 5.3.1.3 Service Portfolio
      • 5.3.1.4 Business Strategies
        • 5.3.1.4.1 Market Developments
        • 5.3.1.4.2 Product Developments
      • 5.3.1.5 Corporate Strategies
        • 5.3.1.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
        • 5.3.1.5.2 Mergers & Acquisitions
      • 5.3.1.6 Strengths and Weaknesses of Deere & Company
    • 5.3.2 Microsoft Corporation
      • 5.3.2.1 Company Overview
      • 5.3.2.2 Role of Microsoft Corporation in Artificial Intelligence in Agriculture Market
      • 5.3.2.3 Service Portfolio
      • 5.3.2.4 Business Strategies
        • 5.3.2.4.1 Market Developments
        • 5.3.2.4.2 Product Launch
      • 5.3.2.5 Corporate Strategies
        • 5.3.2.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.2.6 Strengths and Weaknesses of Microsoft Corporation
    • 5.3.3 CNH Industrial N.V.
      • 5.3.3.1 Company Overview
      • 5.3.3.2 Role of CNH Industrial N.V. in Artificial Intelligence in Agriculture Market
      • 5.3.3.3 Service Portfolio
      • 5.3.3.4 Corporate Strategies
        • 5.3.3.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
        • 5.3.3.4.2 Merger and Acquisition
      • 5.3.3.5 Strengths and Weaknesses of CNH Industrial N.V.
    • 5.3.4 Robert Bosch GmbH
      • 5.3.4.1 Company Overview
      • 5.3.4.2 Role of Robert Bosch GmbH in Artificial Intelligence in Agriculture Market
      • 5.3.4.3 Service Portfolio
      • 5.3.4.4 Business Strategies
        • 5.3.4.4.1 Product Launch
      • 5.3.4.5 Corporate Strategies
        • 5.3.4.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.4.6 Strengths and Weaknesses of Robert Bosch GmbH
    • 5.3.5 Granular Inc.
      • 5.3.5.1 Company Overview
      • 5.3.5.2 Role of Granular Inc. in Artificial Intelligence in Agriculture Market
      • 5.3.5.3 Service Portfolio
      • 5.3.5.4 Corporate Strategies
        • 5.3.5.4.1 Partnerships, Collaborations, Joint Ventures, and Alliances
      • 5.3.5.5 Strengths and Weaknesses of Granular Inc.
    • 5.3.6 Harvest Crop Robotics, LLC
      • 5.3.6.1 Company Overview
      • 5.3.6.2 Role of Harvest Crop Robotics, LLC in Artificial Intelligence in Agriculture Market
      • 5.3.6.3 Service Portfolio
      • 5.3.6.4 Strengths and Weaknesses of Harvest Crop Robotics, LLC.
    • 5.3.7 Agrivi
      • 5.3.7.1 Company Overview
      • 5.3.7.2 Role of Agrivi in Artificial Intelligence in Agriculture Market
      • 5.3.7.3 Service Portfolio
      • 5.3.7.4 Business Strategies
        • 5.3.7.4.1 Product Launch
      • 5.3.7.5 Corporate Strategies
        • 5.3.7.5.1 Partnership, Collaborations, Joint Ventures, and Alliances
        • 5.3.7.5.2 Mergers & Acquisitions
      • 5.3.7.6 Strengths and Weaknesses of Agrivi
    • 5.3.8 CropIn Technology Solutions Pvt Ltd.
      • 5.3.8.1 Company Overview
      • 5.3.8.2 Role of CropIn Technology Solutions Pvt Ltd. in Artificial Intelligence in Agriculture Market
      • 5.3.8.3 Service Portfolio
      • 5.3.8.4 Business Strategies
        • 5.3.8.4.1 Product Developments
      • 5.3.8.5 Corporate Strategies
        • 5.3.8.5.1 Partnerships, Collaborations, Joint Ventures, and Alliances
      • 5.3.8.6 Strengths and Weaknesses of CropIn Technology Solutions Pvt Ltd.
    • 5.3.9 Alibaba Group Holding Limited
      • 5.3.9.1 Company Overview
      • 5.3.9.2 Role of Alibaba Group Holding Limited in Artificial Intelligence in Agriculture Market
      • 5.3.9.3 Service Portfolio
      • 5.3.9.4 Corporate Strategies
      • 5.3.9.5 Strengths and Weaknesses of Alibaba Group Holding Limited
    • 5.3.10 The Climate Corporation
      • 5.3.10.1 Company Overview
      • 5.3.10.2 Role of The Climate Corporation in Artificial Intelligence in Agriculture Market
      • 5.3.10.3 Service Portfolio
      • 5.3.10.4 Corporate Strategies
        • 5.3.10.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.10.5 Strengths and Weaknesses of The Climate Corporation
    • 5.3.11 Descartes Labs, Inc.
      • 5.3.11.1 Company Overview
      • 5.3.11.2 Role of Descartes Labs, Inc. in Artificial Intelligence in Agriculture Market
      • 5.3.11.3 Service Portfolio
      • 5.3.11.4 Corporate Strategies
        • 5.3.11.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.11.5 Strengths and Weaknesses of Descartes Labs, Inc.
    • 5.3.12 PrecisionHawk, Inc.
      • 5.3.12.1 Company Overview
      • 5.3.12.2 Role of Precisionhawk, Inc. in Artificial Intelligence in Agriculture Market
      • 5.3.12.3 Service Portfolio
      • 5.3.12.4 Corporate Strategies
        • 5.3.12.4.1 Partnerships, Joint Ventures, Collaborations, and Alliances
        • 5.3.12.4.2 Mergers and Acquisitions
      • 5.3.12.5 Strengths and Weaknesses of PrecisionHawk, Inc.
    • 5.3.13 Ceres Imaging
      • 5.3.13.1 Company Overview
      • 5.3.13.2 Role of Ceres Imaging in Artificial Intelligence in Agriculture Market
      • 5.3.13.3 Service Portfolio
      • 5.3.13.4 Business Strategies
        • 5.3.13.4.1 Product Developments
      • 5.3.13.5 Corporate Strategies
        • 5.3.13.5.1 Partnerships, Collaborations, Joint Ventures, and Alliances
      • 5.3.13.6 Strengths and Weaknesses of Ceres Imaging
    • 5.3.14 IBM Corporation
      • 5.3.14.1 Company Overview
      • 5.3.14.2 Role of IBM Corporation in Artificial Intelligence in Agriculture Market
      • 5.3.14.3 Service Portfolio
      • 5.3.14.4 Business Strategies
        • 5.3.14.4.1 Product Developments
      • 5.3.14.5 Corporate Strategies
        • 5.3.14.5.1 Partnerships, Joint Ventures, Collaborations, and Alliances
      • 5.3.14.6 Strengths and Weaknesses of IBM Corporation
    • 5.3.15 Prospera Technologies
      • 5.3.15.1 Company Overview
      • 5.3.15.2 Role of Prospera Technologies in Artificial Intelligence in Agriculture Market
      • 5.3.15.3 Service Portfolio
      • 5.3.15.4 Corporate Strategies
      • 5.3.15.5 Strengths and Weaknesses of Prospera Technologies
    • 5.3.16 Other Key Players

6 Research Methodology

  • 6.1 Data Sources
    • 6.1.1 Primary Data Sources
    • 6.1.2 Secondary Data Sources
    • 6.1.3 Data Triangulation
  • 6.2 Market estimation and Forecast
    • 6.2.1 Factors for Data Prediction and Modelling
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