Market Overview:
The global smart agriculture precision forestry market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for food owing to the growing population, and the need for sustainable farming practices. In addition, technological advancements in smart agriculture are aiding in improving farm productivity and efficiency, which is further propelling the growth of this market. Based on type, harvesting management accounted for the largest share of the global smart agriculture precision forestry market in 2017. This can be attributed to factors such as increasing demand for food due to population growth and rising income levels across developing countries; advances in technology that have led to increased automation in harvesting processes; and government initiatives towards promoting mechanization of agricultural operations. Based on application, small farms held a major share of the global smart agriculture precision forestry market in 2017.
Product Definition:
Smart Agriculture Precision Forestry is a term used to describe the application of precision agriculture technology and practices to forestry management. The goal of smart agriculture precision forestry is to optimize the use of inputs such as water, fertilizer, and pesticides while minimizing waste.
Harvesting Management:
Harvesting management is the set of technologies and practices used to obtain high yield from crops. Precision forestry is a part of harvesting management which uses GPS, GIS and other modern techniques to increase the yield in forest areas.
Precision forestry has been around for more than two decades but its potential for use in agriculture was not recognized until recently.
Silviculture and Fire Management:
Silviculture is the science and art of forestry, which includes the study, collection, and production of forest products such as timber and other plants or raw materials used in producing finished goods. Silviculture also involves the preservation of forest ecosystems to meet future demands for wood products.
Application Insights:
The small farm application segment accounted for the largest revenue share of over 60% in 2017. The growth can be attributed to the increasing adoption of smart farming techniques across developed countries and developing countries are adopting these techniques at a rapid pace. Medium-sized farms accounted for a significant revenue share in 2017 owing to their ability to combine both modern and traditional farming methods, thereby providing better results than large or small conventional farms.
The large farm application segment is expected to witness the fastest growth rate over the forecast period owing largely due by technological advancements coupled with an increase in government support towards this endevorr as well as growing awareness about these applications among farmers globally. Growing demand for high quality food products has resulted in an increased focus on crop yield, which has further propelled market demand during recent years.
Regional Analysis:
North America dominated the market in 2017 owing to the presence of a large number of small and medium-sized forest owners. The region is expected to maintain its dominance over the forecast period, with an increase in investments made by governments for implementing smart forestry practices across public and private lands.
Asia Pacific is projected to grow at a significant rate over the forecast period owing to increasing awareness among farmers regarding modern forestry techniques coupled with growing government support for establishing new tree plantations. Moreover, rising disposable income levels will also contribute towards regional growth during the same period. Europe accounted for approximately 20% share of global revenue in 2017 due to high demand from countries such as Germany, France and Russia that are home to major industry participants operating within this region.
Growth Factors:
- Increasing demand for quality food products: There is an increasing demand for quality food products due to the changing demographics and rising income levels of consumers. This is driving the need for precision agriculture to improve crop yields and produce high-quality foods.
- Growing awareness about the benefits of precision farming: The benefits of precision farming such as improved yield, reduced wastage, and increased profits are being increasingly recognized by farmers worldwide. This is driving the adoption of precision agriculture technologies in many countries.
- Development of new precision farming technologies: Precision agriculture technology providers are constantly developing new technologies to help farmers improve their productivity and profitability. These new technologies are helping to boost the growth of the global smart agriculture market.
Scope Of The Report
Report Attributes
Report Details
Report Title
Smart Agriculture Precision Forestry Market Research Report
By Type
Harvesting Management, Silviculture and Fire Management, Logistic and Inventory Management
By Application
Small Farm, Medium-sized Farm, Large Farm
By Companies
Deere & Company, Trimble, Heliospectra, AKVA group, AG Leader Technology, LumiGrow
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
141
Number of Tables & Figures
99
Customization Available
Yes, the report can be customized as per your need.
Global Smart Agriculture Precision Forestry Market Report Segments:
The global Smart Agriculture Precision Forestry market is segmented on the basis of:
Types
Harvesting Management, Silviculture and Fire Management, Logistic and Inventory Management
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
Small Farm, Medium-sized Farm, Large Farm
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:
- Deere & Company
- Trimble
- Heliospectra
- AKVA group
- AG Leader Technology
- LumiGrow
Highlights of The Smart Agriculture Precision Forestry 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:
- Harvesting Management
- Silviculture and Fire Management
- Logistic and Inventory Management
- By Application:
- Small Farm
- Medium-sized Farm
- Large Farm
- 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 Smart Agriculture Precision Forestry 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.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
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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?
Smart Agriculture Precision Forestry is a new approach to forestry that uses precision sensors and data analytics to improve forest management. By using this technology, foresters can more accurately identify and track changes in the forest environment, which can help them make better decisions about how to manage the land. This approach could also be used to monitor other natural resources, such as water supplies or biodiversity.
Some of the major companies in the smart agriculture precision forestry market are Deere & Company, Trimble, Heliospectra, AKVA group, AG Leader Technology, LumiGrow.
The smart agriculture precision forestry market is expected to register a CAGR of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Smart Agriculture Precision Forestry 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 Smart Agriculture Precision Forestry Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Smart Agriculture Precision Forestry 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 Smart Agriculture Precision Forestry 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 Smart Agriculture Precision Forestry Market Size & Forecast, 2020-2028
4.5.1 Smart Agriculture Precision Forestry Market Size and Y-o-Y Growth
4.5.2 Smart Agriculture Precision Forestry 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 Harvesting Management
5.2.2 Silviculture and Fire Management
5.2.3 Logistic and Inventory Management
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 Small Farm
6.2.2 Medium-sized Farm
6.2.3 Large Farm
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Smart Agriculture Precision Forestry 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 Smart Agriculture Precision Forestry 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 Harvesting Management
9.6.2 Silviculture and Fire Management
9.6.3 Logistic and Inventory Management
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 Small Farm
9.10.2 Medium-sized Farm
9.10.3 Large Farm
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 Harvesting Management
10.6.2 Silviculture and Fire Management
10.6.3 Logistic and Inventory Management
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 Small Farm
10.10.2 Medium-sized Farm
10.10.3 Large Farm
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 Harvesting Management
11.6.2 Silviculture and Fire Management
11.6.3 Logistic and Inventory Management
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 Small Farm
11.10.2 Medium-sized Farm
11.10.3 Large Farm
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 Harvesting Management
12.6.2 Silviculture and Fire Management
12.6.3 Logistic and Inventory Management
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 Small Farm
12.10.2 Medium-sized Farm
12.10.3 Large Farm
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 Harvesting Management
13.6.2 Silviculture and Fire Management
13.6.3 Logistic and Inventory Management
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 Small Farm
13.10.2 Medium-sized Farm
13.10.3 Large Farm
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 Smart Agriculture Precision Forestry Market: Competitive Dashboard
14.2 Global Smart Agriculture Precision Forestry Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Deere & Company
14.3.2 Trimble
14.3.3 Heliospectra
14.3.4 AKVA group
14.3.5 AG Leader Technology
14.3.6 LumiGrow
