세계의 필드 매핑 정밀 농업 시장 규모 : 컴포넌트별, 기술별, 지역별 예측(2022-2028년)

Global Field Mapping Precision Farming Market is valued approximately USD XX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028. Field Mapping refers to mapping of field boundaries by collecting data through GPS receivers. The data from GPS receiver Facilitates farmers to create farm maps for field areas, road locations and distances between points of interest. In Precision farming modern technologies such as satellite imaginaries are used to improve crop quality and profitability. Rising Smart Farming Sector and increasing Utilization of Modern Technologies in Agricultural Products as well as recent product launches from leading market players are key factors driving the growth for Field Mapping Precision Farming Market. For instance, according to Statista - in 2020, the global market for precision agriculture was estimated at USD 4.33 billion, and it is further projected to grow to USD 12 billion by 2026. Furthermore, in March 2020, AgJunction Inc. entered in an agreement with GeoSurf Corporation and Anhui Zhongke Intelligent Sense and Big Data Industrial Technology Research Institute Co. Ltd (ISTI) to offer its precision agriculture solutions in the APAC region. Moreover, in October 2021, Ericsson announced collaboration with du, from Emirates Integrated Telecommunications Company (EITC), and Pure Harvest Smart Farms to deploy 5G smart farming solutions across agricultural sites in Al Ain, United Arab Emirates (UAE). Also, growing penetration of agriculture technology-as-a-service market and favorable government initiatives are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, high Costs associated with precision farming equipment impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Field Mapping Precision Farming Market study include: Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to increasing penetration smart farming services and presence of leading market players in the region. Whereas, Asia Pacific is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as favorable government regulations and increasing penetration agriculture analytics services, would create lucrative growth prospects for the Field Mapping Precision Farming Market across the Asia Pacific region.

Major market players included in this report are:

• AG Leader Technology Inc. (US)
• AGCO Corporation (US)
• AgJunction Inc. (Canada)
• AgEagle Aerial Systems, Inc. (US)
• Valmont Industries Inc. (US)
• Agsmart Pty Ltd (Australia)
• BouMatic (US)
• CROPMETRICS (US)
• CropX Inc. (Israel)
• Deere & Company (US)

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component

• Hardware
• Software

By Technology

• Guidance Technology
• GPS/GNSS-based
• GIS-based
• Remote Sensing Technology
• Handheld or Ground-Based Sensing
• Satellite or Aerial Sensing
• Variable-Rate Technology
• Map-Based
• Sensor-Based

By Region:

• North America
  • U.S.
  • Canada

• Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE

• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC

• Latin America
  • Brazil
  • Mexico

• Rest of the World

Furthermore, years considered for the study are as follows:

• Historical year - 2018, 2019, 2020
• Base year - 2021
• Forecast period - 2022 to 2028

Target Audience of the Global Field Mapping Precision Farming Market in Market Study:

• Key Consulting Companies & Advisors
• Large, medium-sized, and small enterprises
• Venture capitalists
• Value-Added Resellers (VARs)
• Third-party knowledge providers
• Investment bankers
• Investors

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
  • 1.2.1. Global Field Mapping Precision Farming Market, by Region, 2020-2028 (USD Million)
  • 1.2.2. Global Field Mapping Precision Farming Market, by Component, 2020-2028 (USD Million)
  • 1.2.3. Global Field Mapping Precision Farming Market, by Technology, 2020-2028 (USD Million)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Field Mapping Precision Farming Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Scope of the Study
  • 2.2.2. Industry Evolution
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Field Mapping Precision Farming Market Dynamics

• 3.1. Field Mapping Precision Farming Market Impact Analysis (2020-2028)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Rising Smart Farming Sector.
    • 3.1.1.2. Increasing Utilization of Modern Technologies in Agricultural Products.
    • 3.1.1.3. Recent product launches from leading market players.
  • 3.1.2. Market Challenges
    • 3.1.2.1. High Costs associated with precision farming equipment
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Growing penetration of agriculture technology-as-a-service market.
    • 3.1.3.2. Favourable government initiatives

Chapter 4. Global Field Mapping Precision Farming Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
  • 4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2028)
• 4.2. PEST Analysis
  • 4.2.1. Political
  • 4.2.2. Economical
  • 4.2.3. Social
  • 4.2.4. Technological
• 4.3. Investment Adoption Model
• 4.4. Analyst Recommendation & Conclusion
• 4.5. Top investment opportunity
• 4.6. Top winning strategies

Chapter 5. Risk Assessment: COVID-19 Impact

• 5.1.1. Assessment of the overall impact of COVID-19 on the industry
• 5.1.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Field Mapping Precision Farming Market, by Component

• 6.1. Market Snapshot
• 6.2. Global Field Mapping Precision Farming Market by Component, Performance - Potential Analysis
• 6.3. Global Field Mapping Precision Farming Market Estimates & Forecasts by Component 2018-2028 (USD Million)
• 6.4. Field Mapping Precision Farming Market, Sub Segment Analysis
  • 6.4.1. Hardware
  • 6.4.2. Software

Chapter 7. Global Field Mapping Precision Farming Market, by Technology

• 7.1. Market Snapshot
• 7.2. Global Field Mapping Precision Farming Market by Technology, Performance - Potential Analysis
• 7.3. Global Field Mapping Precision Farming Market Estimates & Forecasts by Technology 2018-2028 (USD Million)
• 7.4. Field Mapping Precision Farming Market, Sub Segment Analysis
  • 7.4.1. Guidance Technology
  • 7.4.2. GPS/GNSS-based
  • 7.4.3. GIS-based
  • 7.4.4. Remote Sensing Technology
  • 7.4.5. Handheld or Ground-Based Sensing
  • 7.4.6. Satellite or Aerial Sensing
  • 7.4.7. Variable-Rate Technology
  • 7.4.8. Map-Based
  • 7.4.9. Sensor-Based

Chapter 8. Global Field Mapping Precision Farming Market, Regional Analysis

• 8.1. Field Mapping Precision Farming Market, Regional Market Snapshot
• 8.2. North America Field Mapping Precision Farming Market
  • 8.2.1. U.S. Field Mapping Precision Farming Market
    • 8.2.1.1. Component estimates & forecasts, 2018-2028
    • 8.2.1.2. Technology estimates & forecasts, 2018-2028
  • 8.2.2. Canada Field Mapping Precision Farming Market
• 8.3. Europe Field Mapping Precision Farming Market Snapshot
  • 8.3.1. U.K. Field Mapping Precision Farming Market
  • 8.3.2. Germany Field Mapping Precision Farming Market
  • 8.3.3. France Field Mapping Precision Farming Market
  • 8.3.4. Spain Field Mapping Precision Farming Market
  • 8.3.5. Italy Field Mapping Precision Farming Market
  • 8.3.6. Rest of Europe Field Mapping Precision Farming Market
• 8.4. Asia-Pacific Field Mapping Precision Farming Market Snapshot
  • 8.4.1. China Field Mapping Precision Farming Market
  • 8.4.2. India Field Mapping Precision Farming Market
  • 8.4.3. Japan Field Mapping Precision Farming Market
  • 8.4.4. Australia Field Mapping Precision Farming Market
  • 8.4.5. South Korea Field Mapping Precision Farming Market
  • 8.4.6. Rest of Asia Pacific Field Mapping Precision Farming Market
• 8.5. Latin America Field Mapping Precision Farming Market Snapshot
  • 8.5.1. Brazil Field Mapping Precision Farming Market
  • 8.5.2. Mexico Field Mapping Precision Farming Market
• 8.6. Rest of The World Field Mapping Precision Farming Market

Chapter 9. Competitive Intelligence

• 9.1. Top Market Strategies
• 9.2. Company Profiles
  • 9.2.1. AG Leader Technology, Inc. (US)
    • 9.2.1.1. Key Information
    • 9.2.1.2. Overview
    • 9.2.1.3. Financial (Subject to Data Availability)
    • 9.2.1.4. Product Summary
    • 9.2.1.5. Recent Developments
  • 9.2.2. AGCO Corporation (US)
  • 9.2.3. AgJunction Inc. (Canada)
  • 9.2.4. AgEagle Aerial Systems, Inc. (US)
  • 9.2.5. Valmont Industries Inc. (US)
  • 9.2.6. Agsmart Pty Ltd (Australia)
  • 9.2.7. BouMatic (US)
  • 9.2.8. CROPMETRICS (US)
  • 9.2.9. CropX Inc. (Israel)
  • 9.2.10. Deere & Company (US)

Chapter 10. Research Process

• 10.1. Research Process
  • 10.1.1. Data Mining
  • 10.1.2. Analysis
  • 10.1.3. Market Estimation
  • 10.1.4. Validation
  • 10.1.5. Publishing
• 10.2. Research Attributes
• 10.3. Research Assumption