Market Overview:
The global intelligent farming hardware market is expected to grow at a CAGR of 7.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for quality and quantity-controlled agricultural produce, rising awareness about precision farming techniques, and government initiatives towards modernizing agriculture sector. Based on type, the global intelligent farming hardware market is segmented into roller gin and saw gin. Roller gin dominated the market in 2017 owing to its ability to process a large amount of cotton in a short time span. However, saw gin is expected to grow at a higher CAGR during the forecast period as it offers better fiber quality than roller gins. Based on application, the global intelligent farming hardware market is segmented into short staple cotton and long staple cotton. Short staple cotton held majority share of the market in 2017 due its high yield potential as compared to other applications segments.
Product Definition:
Intelligent Farming Hardware is a term used to describe the various sensors and machines used in precision agriculture. These include tools like yield monitors, automatic steering systems, weather stations, and drones. The importance of Intelligent Farming Hardware lies in its ability to help farmers make more precise decisions about how they manage their crops. With this data, farmers can better understand where they need to make adjustments in order to improve yields and decrease inputs costs.
Roller Gin:
Roller gin is a type of distillation device used for producing distilled spirits from agricultural products such as grains, sugarcane, and potatoes. It is also known as dry still or rotary still. The roller gin has the advantage of being able to distill more than two crops at a time owing to its large capacity vats; it can hold approximately 80 bushels (US bus) of grain or about 40 tons of potatoes at one time.
Saw Gin:
Saw gin is a traditional equipment used in the timber industry. It is also known as log skidder. The main function of saw gin is to provide safe and effective transport of logs from the forest to the processing plant or another destination with less labor involvement. In addition, it helps in reducing fuel consumption and deforestation by minimizing wastage during transportation operations.
Intelligent farming hardware includes various systems such as irrigation systems, milking units, animal management software solutions, etc.
Application Insights:
The market is segmented by application into short staple cotton, long staple cotton and others. The other applications include corn, soybean, wheat & maize and sugarcane. The growth of the market for these crops is dependent on climatic conditions and soil quality. Thus, the use of intelligent farming equipment helps farmers in improving yield as well as crop health & nutrition while reducing costs associated with labor or water intensive methods used for conventional farming practices.
The growing demand for food crops such as corn has resulted in an increased adoption of smart tools such as GPS-enabled tractors that can be used to map fields so that they can be farmed more efficiently while also ensuring better precision when it comes to harvesting crops like sugarcane or wheat using a combine harvester equipped with sensors which enable real-time data on field conditions during harvest time.
Regional Analysis:
Asia Pacific dominated the global market in 2017 and is expected to continue its dominance over the forecast period. The region has a large area of arable land that can be used for farming practices, which will help increase production output. Moreover, increasing disposable income levels coupled with government initiatives such as “Make in India†and “One Belt One Road†are expected to drive demand for intelligent farm equipment over the next eight years.
The European market is anticipated to witness significant growth during the forecast period owing to rising investments by companies operating in this sector. For instance, In 2016, Deere & Company announced plans of investing USD X million by 2020 in developing smart tractors that can be integrated with other technologies such as GPS tracking technology and artificial intelligence software programs for enhanced productivity on farms across Europe.
Growth Factors:
- Increasing demand for food due to population growth
- Rising awareness about the benefits of intelligent farming hardware
- Government initiatives and subsidies for the adoption of such technology
- Rapid advancements in technology and its decreasing costs
- Growing demand from developing countries
Scope Of The Report
Report Attributes
Report Details
Report Title
Intelligent Farming Hardware Market Research Report
By Type
Roller Gin, Saw Gin
By Application
Short Staple Cotton, Long Staple Cotton
By Companies
Lummus, Bajaj Steel Industries, Nipha Group, Jadhao Gears Pvt. Ltd., Bhagwati Engineering Works, Deligent Ginning Machinery, Balkan Cotton Gin Machinery, Busa Industria, ShanDong Swan Cotton Industrial Machinery, Handan Golden Lion, ShanDong XinTianShan Cotton Machinery, Huaibei Huaizhi Cotton Machinery, Northern/Lucus Machine
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
134
Number of Tables & Figures
94
Customization Available
Yes, the report can be customized as per your need.
Global Intelligent Farming Hardware Market Report Segments:
The global Intelligent Farming Hardware market is segmented on the basis of:
Types
Roller Gin, Saw Gin
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Short Staple Cotton, Long Staple Cotton
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Lummus
- Bajaj Steel Industries
- Nipha Group
- Jadhao Gears Pvt. Ltd.
- Bhagwati Engineering Works
- Deligent Ginning Machinery
- Balkan Cotton Gin Machinery
- Busa Industria
- ShanDong Swan Cotton Industrial Machinery
- Handan Golden Lion
- ShanDong XinTianShan Cotton Machinery
- Huaibei Huaizhi Cotton Machinery
- Northern/Lucus Machine
Highlights of The Intelligent Farming Hardware Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Roller Gin
- Saw Gin
- By Application:
- Short Staple Cotton
- Long Staple Cotton
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Intelligent Farming Hardware Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Intelligent farming hardware is a category of agricultural technology that includes devices and systems used to collect data about the environment, crops, and livestock; make decisions based on that data; and control inputs to farms in order to optimize production.
Some of the major players in the intelligent farming hardware market are Lummus, Bajaj Steel Industries, Nipha Group, Jadhao Gears Pvt. Ltd., Bhagwati Engineering Works, Deligent Ginning Machinery, Balkan Cotton Gin Machinery, Busa Industria, ShanDong Swan Cotton Industrial Machinery, Handan Golden Lion, ShanDong XinTianShan Cotton Machinery, Huaibei Huaizhi Cotton Machinery, Northern/Lucus Machine.
The intelligent farming hardware market is expected to grow at a compound annual growth rate of 7.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent Farming Hardware Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Intelligent Farming Hardware Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Intelligent Farming Hardware Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Intelligent Farming Hardware Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Intelligent Farming Hardware Market Size & Forecast, 2020-2028 4.5.1 Intelligent Farming Hardware Market Size and Y-o-Y Growth 4.5.2 Intelligent Farming Hardware Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Roller Gin
5.2.2 Saw Gin
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Short Staple Cotton
6.2.2 Long Staple Cotton
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Intelligent Farming Hardware Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Intelligent Farming Hardware Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Roller Gin
9.6.2 Saw Gin
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Short Staple Cotton
9.10.2 Long Staple Cotton
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Roller Gin
10.6.2 Saw Gin
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Short Staple Cotton
10.10.2 Long Staple Cotton
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Roller Gin
11.6.2 Saw Gin
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Short Staple Cotton
11.10.2 Long Staple Cotton
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Roller Gin
12.6.2 Saw Gin
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Short Staple Cotton
12.10.2 Long Staple Cotton
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Roller Gin
13.6.2 Saw Gin
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Short Staple Cotton
13.10.2 Long Staple Cotton
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Intelligent Farming Hardware Market: Competitive Dashboard
14.2 Global Intelligent Farming Hardware Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Lummus
14.3.2 Bajaj Steel Industries
14.3.3 Nipha Group
14.3.4 Jadhao Gears Pvt. Ltd.
14.3.5 Bhagwati Engineering Works
14.3.6 Deligent Ginning Machinery
14.3.7 Balkan Cotton Gin Machinery
14.3.8 Busa Industria
14.3.9 ShanDong Swan Cotton Industrial Machinery
14.3.10 Handan Golden Lion
14.3.11 ShanDong XinTianShan Cotton Machinery
14.3.12 Huaibei Huaizhi Cotton Machinery
14.3.13 Northern/Lucus Machine