Global Smart Farming Machine Industry Research Report 2021 Segmented by Major Market Players, Types, Applications and Countries Forecast to 2027
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The global Smart Farming Machine market is expected to reach US$ XX Million by 2027, with a CAGR of XX% from 2020 to 2027, based on newly published report.
The prime objective of this report is to provide the insights on the post COVID-19 impact which will help market players in this field evaluate their business approaches. Also, this report covers market segmentation by major market verdors, types, applications/end users and geography(North America, East Asia, Europe, South Asia, Southeast Asia, Middle East, Africa, Oceania, South America).
By Market Verdors:
John Deere
Iteris
Ag Leader Technology
Raven Industries
Farmers Edge
AGCO
PrecisionHawk
Kinetic
DICKEY-john
Trimble
Changsha Joysaint
Claas Group
By Types:
Manned Machine
Unmanned
By Applications:
Soil and Crop Management
Storage and Irrigation Management
Indoor Farming
Other
Key Indicators Analysed
Market Players & Competitor Analysis: The report covers the key players of the industry including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin 2016-2027 & Sales with a thorough analysis of the market’s competitive landscape and detailed information on vendors and comprehensive details of factors that will challenge the growth of major market vendors.
Global and Regional Market Analysis: The report includes Global & Regional market status and outlook 2016-2027. Further the report provides break down details about each region & countries covered in the report. Identifying its sales, sales volume & revenue forecast. With detailed analysis by types and applications.
Market Trends: Market key trends which include Increased Competition and Continuous Innovations.
Opportunities and Drivers: Identifying the Growing Demands and New Technology
Porters Five Force Analysis: The report provides with the state of competition in industry depending on five basic forces: threat of new entrants, bargaining power of suppliers, bargaining power of buyers, threat of substitute products or services, and existing industry rivalry.
Key Reasons to Purchase
To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.
Assess the production processes, major issues, and solutions to mitigate the development risk.
To understand the most affecting driving and restraining forces in the market and its impact in the global market.
Learn about the market strategies that are being adopted by leading respective organizations.
To understand the future outlook and prospects for the market.
Besides the standard structure reports, we also provide custom research according to specific requirements.
1 Report Overview
1.1 Study Scope and Definition
1.2 Research Methodology
1.2.1 Methodology/Research Approach
1.2.2 Data Source
1.3 Key Market Segments
1.4 Players Covered: Ranking by Smart Farming Machine Revenue
1.5 Market Analysis by Type
1.5.1 Global Smart Farming Machine Market Size Growth Rate by Type: 2021 VS 2027
1.5.2 Manned Machine
1.5.3 Unmanned
1.6 Market by Application
1.6.1 Global Smart Farming Machine Market Share by Application: 2022-2027
1.6.2 Soil and Crop Management
1.6.3 Storage and Irrigation Management
1.6.4 Indoor Farming
1.6.5 Other
1.7 Coronavirus Disease 2019 (Covid-19) Impact Will Have a Severe Impact on Global Growth
1.7.1 Covid-19 Impact: Global GDP Growth, 2019, 2021 and 2022 Projections
1.7.2 Covid-19 Impact: Commodity Prices Indices
1.7.3 Covid-19 Impact: Global Major Government Policy
1.8 Study Objectives
1.9 Years Considered
2 Global Smart Farming Machine Market Trends and Growth Strategy
2.1 Market Top Trends
2.2 Market Drivers
2.3 Market Challenges
2.4 Porter’s Five Forces Analysis
2.5 Market Growth Strategy
2.6 SWOT Analysis
3 Global Smart Farming Machine Market Players Profiles
3.1 John Deere
3.1.1 John Deere Company Profile
3.1.2 John Deere Smart Farming Machine Product Specification
3.1.3 John Deere Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.2 Iteris
3.2.1 Iteris Company Profile
3.2.2 Iteris Smart Farming Machine Product Specification
3.2.3 Iteris Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.3 Ag Leader Technology
3.3.1 Ag Leader Technology Company Profile
3.3.2 Ag Leader Technology Smart Farming Machine Product Specification
3.3.3 Ag Leader Technology Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.4 Raven Industries
3.4.1 Raven Industries Company Profile
3.4.2 Raven Industries Smart Farming Machine Product Specification
3.4.3 Raven Industries Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.5 Farmers Edge
3.5.1 Farmers Edge Company Profile
3.5.2 Farmers Edge Smart Farming Machine Product Specification
3.5.3 Farmers Edge Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.6 AGCO
3.6.1 AGCO Company Profile
3.6.2 AGCO Smart Farming Machine Product Specification
3.6.3 AGCO Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.7 PrecisionHawk
3.7.1 PrecisionHawk Company Profile
3.7.2 PrecisionHawk Smart Farming Machine Product Specification
3.7.3 PrecisionHawk Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.8 Kinetic
3.8.1 Kinetic Company Profile
3.8.2 Kinetic Smart Farming Machine Product Specification
3.8.3 Kinetic Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.9 DICKEY-john
3.9.1 DICKEY-john Company Profile
3.9.2 DICKEY-john Smart Farming Machine Product Specification
3.9.3 DICKEY-john Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.10 Trimble
3.10.1 Trimble Company Profile
3.10.2 Trimble Smart Farming Machine Product Specification
3.10.3 Trimble Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.11 Changsha Joysaint
3.11.1 Changsha Joysaint Company Profile
3.11.2 Changsha Joysaint Smart Farming Machine Product Specification
3.11.3 Changsha Joysaint Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
3.12 Claas Group
3.12.1 Claas Group Company Profile
3.12.2 Claas Group Smart Farming Machine Product Specification
3.12.3 Claas Group Smart Farming Machine Production Capacity, Revenue, Price and Gross Margin (2016-2021)
4 Global Smart Farming Machine Market Competition by Market Players
4.1 Global Smart Farming Machine Production Capacity Market Share by Market Players (2016-2021)
4.2 Global Smart Farming Machine Revenue Market Share by Market Players (2016-2021)
4.3 Global Smart Farming Machine Average Price by Market Players (2016-2021)
5 Global Smart Farming Machine Production by Regions (2016-2021)
5.1 North America
5.1.1 North America Smart Farming Machine Market Size (2016-2021)
5.1.2 Smart Farming Machine Key Players in North America (2016-2021)
5.1.3 North America Smart Farming Machine Market Size by Type (2016-2021)
5.1.4 North America Smart Farming Machine Market Size by Application (2016-2021)
5.2 East Asia
5.2.1 East Asia Smart Farming Machine Market Size (2016-2021)
5.2.2 Smart Farming Machine Key Players in East Asia (2016-2021)
5.2.3 East Asia Smart Farming Machine Market Size by Type (2016-2021)
5.2.4 East Asia Smart Farming Machine Market Size by Application (2016-2021)
5.3 Europe
5.3.1 Europe Smart Farming Machine Market Size (2016-2021)
5.3.2 Smart Farming Machine Key Players in Europe (2016-2021)
5.3.3 Europe Smart Farming Machine Market Size by Type (2016-2021)
5.3.4 Europe Smart Farming Machine Market Size by Application (2016-2021)
5.4 South Asia
5.4.1 South Asia Smart Farming Machine Market Size (2016-2021)
5.4.2 Smart Farming Machine Key Players in South Asia (2016-2021)
5.4.3 South Asia Smart Farming Machine Market Size by Type (2016-2021)
5.4.4 South Asia Smart Farming Machine Market Size by Application (2016-2021)
5.5 Southeast Asia
5.5.1 Southeast Asia Smart Farming Machine Market Size (2016-2021)
5.5.2 Smart Farming Machine Key Players in Southeast Asia (2016-2021)
5.5.3 Southeast Asia Smart Farming Machine Market Size by Type (2016-2021)
5.5.4 Southeast Asia Smart Farming Machine Market Size by Application (2016-2021)
5.6 Middle East
5.6.1 Middle East Smart Farming Machine Market Size (2016-2021)
5.6.2 Smart Farming Machine Key Players in Middle East (2016-2021)
5.6.3 Middle East Smart Farming Machine Market Size by Type (2016-2021)
5.6.4 Middle East Smart Farming Machine Market Size by Application (2016-2021)
5.7 Africa
5.7.1 Africa Smart Farming Machine Market Size (2016-2021)
5.7.2 Smart Farming Machine Key Players in Africa (2016-2021)
5.7.3 Africa Smart Farming Machine Market Size by Type (2016-2021)
5.7.4 Africa Smart Farming Machine Market Size by Application (2016-2021)
5.8 Oceania
5.8.1 Oceania Smart Farming Machine Market Size (2016-2021)
5.8.2 Smart Farming Machine Key Players in Oceania (2016-2021)
5.8.3 Oceania Smart Farming Machine Market Size by Type (2016-2021)
5.8.4 Oceania Smart Farming Machine Market Size by Application (2016-2021)
5.9 South America
5.9.1 South America Smart Farming Machine Market Size (2016-2021)
5.9.2 Smart Farming Machine Key Players in South America (2016-2021)
5.9.3 South America Smart Farming Machine Market Size by Type (2016-2021)
5.9.4 South America Smart Farming Machine Market Size by Application (2016-2021)
5.10 Rest of the World
5.10.1 Rest of the World Smart Farming Machine Market Size (2016-2021)
5.10.2 Smart Farming Machine Key Players in Rest of the World (2016-2021)
5.10.3 Rest of the World Smart Farming Machine Market Size by Type (2016-2021)
5.10.4 Rest of the World Smart Farming Machine Market Size by Application (2016-2021)
6 Global Smart Farming Machine Consumption by Region (2016-2021)
6.1 North America
6.1.1 North America Smart Farming Machine Consumption by Countries
6.1.2 United States
6.1.3 Canada
6.1.4 Mexico
6.2 East Asia
6.2.1 East Asia Smart Farming Machine Consumption by Countries
6.2.2 China
6.2.3 Japan
6.2.4 South Korea
6.3 Europe
6.3.1 Europe Smart Farming Machine Consumption by Countries
6.3.2 Germany
6.3.3 United Kingdom
6.3.4 France
6.3.5 Italy
6.3.6 Russia
6.3.7 Spain
6.3.8 Netherlands
6.3.9 Switzerland
6.3.10 Poland
6.4 South Asia
6.4.1 South Asia Smart Farming Machine Consumption by Countries
6.4.2 India
6.5 Southeast Asia
6.5.1 Southeast Asia Smart Farming Machine Consumption by Countries
6.5.2 Indonesia
6.5.3 Thailand
6.5.4 Singapore
6.5.5 Malaysia
6.5.6 Philippines
6.6 Middle East
6.6.1 Middle East Smart Farming Machine Consumption by Countries
6.6.2 Turkey
6.6.3 Saudi Arabia
6.6.4 Iran
6.6.5 United Arab Emirates
6.7 Africa
6.7.1 Africa Smart Farming Machine Consumption by Countries
6.7.2 Nigeria
6.7.3 South Africa
6.8 Oceania
6.8.1 Oceania Smart Farming Machine Consumption by Countries
6.8.2 Australia
6.9 South America
6.9.1 South America Smart Farming Machine Consumption by Countries
6.9.2 Brazil
6.9.3 Argentina
6.10 Rest of the World
6.10.1 Rest of the World Smart Farming Machine Consumption by Countries
7 Global Smart Farming Machine Production Forecast by Regions (2022-2027)
7.1 Global Forecasted Production of Smart Farming Machine (2022-2027)
7.2 Global Forecasted Revenue of Smart Farming Machine (2022-2027)
7.3 Global Forecasted Price of Smart Farming Machine (2022-2027)
7.4 Global Forecasted Production of Smart Farming Machine by Region (2022-2027)
7.4.1 North America Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.2 East Asia Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.3 Europe Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.4 South Asia Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.5 Southeast Asia Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.6 Middle East Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.7 Africa Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.8 Oceania Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.9 South America Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.4.10 Rest of the World Smart Farming Machine Production, Revenue Forecast (2022-2027)
7.5 Forecast by Type and by Application (2022-2027)
7.5.1 Global Sales Volume, Sales Revenue and Sales Price Forecast by Type (2022-2027)
7.5.2 Global Forecasted Consumption of Smart Farming Machine by Application (2022-2027)
8 Global Smart Farming Machine Consumption Forecast by Regions (2022-2027)
8.1 North America Forecasted Consumption of Smart Farming Machine by Country
8.2 East Asia Market Forecasted Consumption of Smart Farming Machine by Country
8.3 Europe Market Forecasted Consumption of Smart Farming Machine by Countriy
8.4 South Asia Forecasted Consumption of Smart Farming Machine by Country
8.5 Southeast Asia Forecasted Consumption of Smart Farming Machine by Country
8.6 Middle East Forecasted Consumption of Smart Farming Machine by Country
8.7 Africa Forecasted Consumption of Smart Farming Machine by Country
8.8 Oceania Forecasted Consumption of Smart Farming Machine by Country
8.9 South America Forecasted Consumption of Smart Farming Machine by Country
8.10 Rest of the world Forecasted Consumption of Smart Farming Machine by Country
9 Global Smart Farming Machine Sales by Type (2016-2027)
9.1 Global Smart Farming Machine Historic Market Size by Type (2016-2021)
9.2 Global Smart Farming Machine Forecasted Market Size by Type (2022-2027)
10 Global Smart Farming Machine Consumption by Application (2016-2027)
10.1 Global Smart Farming Machine Historic Market Size by Application (2016-2021)
10.2 Global Smart Farming Machine Forecasted Market Size by Application (2022-2027)
11 Global Smart Farming Machine Manufacturing Cost Analysis
11.1 Smart Farming Machine Key Raw Materials Analysis
11.1.1 Key Raw Materials
11.2 Proportion of Manufacturing Cost Structure
11.3 Manufacturing Process Analysis of Smart Farming Machine
12 Global Smart Farming Machine Marketing Channel, Distributors, Customers and Supply Chain
12.1 Marketing Channel
12.2 Smart Farming Machine Distributors List
12.3 Smart Farming Machine Customers
12.4 Smart Farming Machine Supply Chain Analysis
13 Analyst's Viewpoints/Conclusions
14 Disclaimer
Research Methodology:
Smart Farming Machine Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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