Global Farm Equipment Market Report: 2015 Edition
Farm equipment is any kind of machinery used to help in farming. The best-known example of this kind is the tractor. They cover a broad range of machines and tools which help the farmers to carry out the various processes required to enhance the output as well as the quality of crops. Based on their characteristics, agricultural equipment can be divided into two types: farmstead equipment and field equipment.
Engineering inputs to agriculture by way of mechanization has increased considerably during the recent years so as to meet the timeliness of farm operations, reducing drudgery, capacity enhancement and efficient utilization of inputs. With the implementation of agricultural support policies, growth in farmer’s income and the changes in agricultural production methods, global farm equipment industry is scaling new heights and promises healthy development in coming years.
Europe is the unprecedented leader in farm equipment market. While 2014 marked the fall in share of European markets, Asian Pacific presents a huge market opportunity for this industry on the back of ameliorated economic conditions and better funds for investment in R&D of agriculture machinery. India and China constitute the largest markets for agricultural equipment in terms of unit sales, although typical equipment tends to be in the form of smaller horsepower, low-technology tractors with relatively low unit prices. These emerging economies have incessantly increased their production volumes and will continue to be the major drivers of the industry.
Growth in the global market for agricultural equipment is dependent on varied factors including economic scenario, weather and demand. Population growth is expected to fuel demand for agriculture produce, which in turn would lead to increase in demand for farm equipment. Increase in arable land to fulfill the growing needs of urban and rural population is another factor encouraging the growth of the industry. Further, governments in these countries are increasingly placing greater emphasis on enhancing productivity through automation or mechanizing traditional processes, extending easy credits and subsidies on investments to promote growth of the industry. However, these factors are dominated by presence of already existing machinery and inventory with the supplier, thereby reducing the demand for new farm equipments in 2014.
The report ”Global Farm Equipment Market” analyzes the development of the agricultural machinery industry and studies the global market along with major regional markets`- US, Canada, Brazil, Germany, United Kingdom, Turkey, China and India. The major trends, growth drivers as well as issues being faced by the industry are being presented in this report. The three major players in the industry, John Deere, AGCO Corporation, and CNH Global NV Inc. are being profiled, along with their key financials and strategies for growth.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
Engineering inputs to agriculture by way of mechanization has increased considerably during the recent years so as to meet the timeliness of farm operations, reducing drudgery, capacity enhancement and efficient utilization of inputs. With the implementation of agricultural support policies, growth in farmer’s income and the changes in agricultural production methods, global farm equipment industry is scaling new heights and promises healthy development in coming years.
Europe is the unprecedented leader in farm equipment market. While 2014 marked the fall in share of European markets, Asian Pacific presents a huge market opportunity for this industry on the back of ameliorated economic conditions and better funds for investment in R&D of agriculture machinery. India and China constitute the largest markets for agricultural equipment in terms of unit sales, although typical equipment tends to be in the form of smaller horsepower, low-technology tractors with relatively low unit prices. These emerging economies have incessantly increased their production volumes and will continue to be the major drivers of the industry.
Growth in the global market for agricultural equipment is dependent on varied factors including economic scenario, weather and demand. Population growth is expected to fuel demand for agriculture produce, which in turn would lead to increase in demand for farm equipment. Increase in arable land to fulfill the growing needs of urban and rural population is another factor encouraging the growth of the industry. Further, governments in these countries are increasingly placing greater emphasis on enhancing productivity through automation or mechanizing traditional processes, extending easy credits and subsidies on investments to promote growth of the industry. However, these factors are dominated by presence of already existing machinery and inventory with the supplier, thereby reducing the demand for new farm equipments in 2014.
The report ”Global Farm Equipment Market” analyzes the development of the agricultural machinery industry and studies the global market along with major regional markets`- US, Canada, Brazil, Germany, United Kingdom, Turkey, China and India. The major trends, growth drivers as well as issues being faced by the industry are being presented in this report. The three major players in the industry, John Deere, AGCO Corporation, and CNH Global NV Inc. are being profiled, along with their key financials and strategies for growth.
By combining SPSS Inc.’s data integration and analysis capabilities with our relevant findings, we have predicted the future growth of the industry. We employed various significant variables that have an impact on this industry and created regression models with SPSS Base to determine the future direction of the industry. Before deploying the regression model, the relationship between several independent or predictor variables and the dependent variable was analyzed using standard SPSS output, including charts, tables and tests.
1. FARM EQUIPMENTS OVERVIEW
1.1 Farm Equipments Classification
1.2 Categories of Equipment in Agriculture Value Chain
1.3 Distribution System
2. GLOBAL MARKET ANALYSIS
2.1 Agriculture Machinery
Market Value
Regional Breakdown
Import/Export Share by Region
2.2 Tractor Market
Market Volume
Regional Breakdown
Import/Export Share by Region
3. REGIONAL MARKET ANALYSIS
3.1 The Americas
Market Value
Tractor/Combines Sales
3.3.1 The US
Tractor/Combines Sales
Export Value
3.1.2 Canada
Tractor/Combines Sales
3.1.3 Brazil
Tractor/Combines Sales
3.2 European Union
3.2.1 Germany
Export Destinations
Tractor/Combine Registrations
Market Segments
Other Statistics
3.2.2 United Kingdom
Tractor Registrations
3.3 Asia
3.3.1 China
Market Volume
Tractor Volume
3.3.2 India
Tractor Volume
3.3.3 Turkey
Market Volume
Tractor Volume
4. MARKET DYNAMICS
4.1 Growth Drivers
4.1.1 Growing Agricultural Contribution to Global GDP
4.1.2 Global Economic Development
4.1.3 Rising Arable Land Area
4.1.4 Growing Urban Population
4.1.5 Rising Global Population
4.1.6 Easy Credit and Subsidies Availability in Asian Markets
4.2 Key Trends
4.2.1 Tractor Market Trend
4.2.2 Farming Yields Trends
4.2.3 Increased Use of Already Existing Machinery
4.3 Challenges
4.3.1 Fluctuating Weather Conditions
4.3.2 Dynamic Economic Environment
4.3.3 Altering Government Policies
5. COMPETITIVE LANDSCAPE
6. COMPANY PROFILES
6.1 John Deere
6.1.1 Business Overview
6.1.2 Financial Overview
6.1.3 Business Strategies
6.2 CNH Industrial NV
6.2.1 Business Overview
6.2.2 Financial Overview
6.2.3 Business Strategies
6.3 AGCO Corporation
6.3.1 Business Overview
6.3.2 Financial Overview
6.3.3 Business Strategies
7. MARKET OUTLOOK
7.1 Global Market Forecast
7.2 Forecast Methodology
7.2.1 Dependent and Independent Variables
7.2.2 Correlation Analysis
7.2.3 Regression Analysis
1.1 Farm Equipments Classification
1.2 Categories of Equipment in Agriculture Value Chain
1.3 Distribution System
2. GLOBAL MARKET ANALYSIS
2.1 Agriculture Machinery
Market Value
Regional Breakdown
Import/Export Share by Region
2.2 Tractor Market
Market Volume
Regional Breakdown
Import/Export Share by Region
3. REGIONAL MARKET ANALYSIS
3.1 The Americas
Market Value
Tractor/Combines Sales
3.3.1 The US
Tractor/Combines Sales
Export Value
3.1.2 Canada
Tractor/Combines Sales
3.1.3 Brazil
Tractor/Combines Sales
3.2 European Union
3.2.1 Germany
Export Destinations
Tractor/Combine Registrations
Market Segments
Other Statistics
3.2.2 United Kingdom
Tractor Registrations
3.3 Asia
3.3.1 China
Market Volume
Tractor Volume
3.3.2 India
Tractor Volume
3.3.3 Turkey
Market Volume
Tractor Volume
4. MARKET DYNAMICS
4.1 Growth Drivers
4.1.1 Growing Agricultural Contribution to Global GDP
4.1.2 Global Economic Development
4.1.3 Rising Arable Land Area
4.1.4 Growing Urban Population
4.1.5 Rising Global Population
4.1.6 Easy Credit and Subsidies Availability in Asian Markets
4.2 Key Trends
4.2.1 Tractor Market Trend
4.2.2 Farming Yields Trends
4.2.3 Increased Use of Already Existing Machinery
4.3 Challenges
4.3.1 Fluctuating Weather Conditions
4.3.2 Dynamic Economic Environment
4.3.3 Altering Government Policies
5. COMPETITIVE LANDSCAPE
6. COMPANY PROFILES
6.1 John Deere
6.1.1 Business Overview
6.1.2 Financial Overview
6.1.3 Business Strategies
6.2 CNH Industrial NV
6.2.1 Business Overview
6.2.2 Financial Overview
6.2.3 Business Strategies
6.3 AGCO Corporation
6.3.1 Business Overview
6.3.2 Financial Overview
6.3.3 Business Strategies
7. MARKET OUTLOOK
7.1 Global Market Forecast
7.2 Forecast Methodology
7.2.1 Dependent and Independent Variables
7.2.2 Correlation Analysis
7.2.3 Regression Analysis
LIST OF CHARTS
Types of Agricultural Equipment
Types of Agricultural Equipment based on Operations
Agriculture Value Chain and Corresponding Equipment
Farm Equipment General Distribution System
Farm Equipment Distribution System in North America
Global Agricultural Machinery Production Value (2010-2014)
Global Agricultural Machinery Production Breakdown by Region (2009-2014)
Global Agricultural Machinery Markets (2012-2014)
Import/Export Share of Agriculture Machinery by Country (2014)
Global and Regional Tractor Sales Market by Volume (2010-2014)
Tractor Market Growth by Country (2014)
Import/Export Share of Tractors by Country (2014)
North American Tractors/Combines Retail Sales by Volume (June 2013-June 2015)
North American Agricultural Machinery Market by Value (2010-2014)
The US Agricultural Equipment Export Value (2009-2014)
Brazil Tractor Sales (2009-2014)
Brazil Tractor and Combines Sales (June 2013-June 2015)
EU Agricultural Production by Value (2010-2014)
EU Agricultural Machinery by Value (2010-2014)
Germany’s Agriculture Machinery Trade Volume by Category (2014)
Forage Harvesters Volume in Germany (2010-2014)
German Tractor Registrations (2010-2014)
German Mowers Volume (2010-2014)
German Tedders and Rakes Volume (2010-2014)
German Baler Volume (2010-2014)
German Combine Registrations (2010-2014)
UK Agricultural Tractor Registrations (>50 HP) (2009-2014)
UK Monthly Agricultural Tractor Registrations (>50 HP) (Jan 2013- Jul 2015)
UK Tractor Market by Annual Power (2009-2014)
Chinese Agricultural Machinery Market by Value (2009-2014)
Tractor Market Volume of China (> 18kW) (2010-2014)
Tractor Market Sales by Volume, India (2010-2014)
Turkish Agricultural Machinery Market (2010-2014)
Tractor Production in Turkey (2010-2014)
Market Breakdown by Unit Sales (2014)
Agricultural Contribution to Global GDP (2009-2014)
Global GDP (2009-2014)
Arable Land Area (2009-2014)
Global Urban Population (2009-2013)
World Population (2009-2014)
Agricultural Credit in India (2009-2014)
Agricultural Subsidies in China (2009-2014)
Tractor Market Development (Jan 2015-June 2015)
Paddy Yield by Country
Agricultural Equipment Inventory Period, North America (June 2014- June 2015)
Tractor Registration by Company, UK (2012/2013)
Tractor Market Registration by Company Share, UK (2012/2013)
John Deere’s Revenue Share by Business Segments (2014)
John Deere’s Revenues and Net Income (2010-2014)
CNH’s Revenue Share by Business Segments (2014)
CNH’s Revenue Share by Region (2014)
CNH - Revenues and Net Income (2012-2014)
AGCO’s Revenue Share by Business Segments (2014)
AGCO’s Revenue by Regions (2014)
AGCO’s Net Sales and Net Income (2010-2014)
Global Agricultural Machinery Production Value Forecast (2014-2018E)
Types of Agricultural Equipment
Types of Agricultural Equipment based on Operations
Agriculture Value Chain and Corresponding Equipment
Farm Equipment General Distribution System
Farm Equipment Distribution System in North America
Global Agricultural Machinery Production Value (2010-2014)
Global Agricultural Machinery Production Breakdown by Region (2009-2014)
Global Agricultural Machinery Markets (2012-2014)
Import/Export Share of Agriculture Machinery by Country (2014)
Global and Regional Tractor Sales Market by Volume (2010-2014)
Tractor Market Growth by Country (2014)
Import/Export Share of Tractors by Country (2014)
North American Tractors/Combines Retail Sales by Volume (June 2013-June 2015)
North American Agricultural Machinery Market by Value (2010-2014)
The US Agricultural Equipment Export Value (2009-2014)
Brazil Tractor Sales (2009-2014)
Brazil Tractor and Combines Sales (June 2013-June 2015)
EU Agricultural Production by Value (2010-2014)
EU Agricultural Machinery by Value (2010-2014)
Germany’s Agriculture Machinery Trade Volume by Category (2014)
Forage Harvesters Volume in Germany (2010-2014)
German Tractor Registrations (2010-2014)
German Mowers Volume (2010-2014)
German Tedders and Rakes Volume (2010-2014)
German Baler Volume (2010-2014)
German Combine Registrations (2010-2014)
UK Agricultural Tractor Registrations (>50 HP) (2009-2014)
UK Monthly Agricultural Tractor Registrations (>50 HP) (Jan 2013- Jul 2015)
UK Tractor Market by Annual Power (2009-2014)
Chinese Agricultural Machinery Market by Value (2009-2014)
Tractor Market Volume of China (> 18kW) (2010-2014)
Tractor Market Sales by Volume, India (2010-2014)
Turkish Agricultural Machinery Market (2010-2014)
Tractor Production in Turkey (2010-2014)
Market Breakdown by Unit Sales (2014)
Agricultural Contribution to Global GDP (2009-2014)
Global GDP (2009-2014)
Arable Land Area (2009-2014)
Global Urban Population (2009-2013)
World Population (2009-2014)
Agricultural Credit in India (2009-2014)
Agricultural Subsidies in China (2009-2014)
Tractor Market Development (Jan 2015-June 2015)
Paddy Yield by Country
Agricultural Equipment Inventory Period, North America (June 2014- June 2015)
Tractor Registration by Company, UK (2012/2013)
Tractor Market Registration by Company Share, UK (2012/2013)
John Deere’s Revenue Share by Business Segments (2014)
John Deere’s Revenues and Net Income (2010-2014)
CNH’s Revenue Share by Business Segments (2014)
CNH’s Revenue Share by Region (2014)
CNH - Revenues and Net Income (2012-2014)
AGCO’s Revenue Share by Business Segments (2014)
AGCO’s Revenue by Regions (2014)
AGCO’s Net Sales and Net Income (2010-2014)
Global Agricultural Machinery Production Value Forecast (2014-2018E)
LIST OF TABLES
Tractors & Combines Unit Retail Sales in the US (July 2014-July 2015)
The US Agricultural Equipment Exports by Destination (2014)
Tractors & Combines Unit Retail Sales in Canada (Aug 2014-Aug2013)
German Agricultural Machinery Exports Development (2014)
Dependent & Independent Variables (2010-2014)
Correlation Matrix
Model Summary – Coefficient of Determination
Regression Coefficients Output
Tractors & Combines Unit Retail Sales in the US (July 2014-July 2015)
The US Agricultural Equipment Exports by Destination (2014)
Tractors & Combines Unit Retail Sales in Canada (Aug 2014-Aug2013)
German Agricultural Machinery Exports Development (2014)
Dependent & Independent Variables (2010-2014)
Correlation Matrix
Model Summary – Coefficient of Determination
Regression Coefficients Output
