Precision Forestry Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Precision Forestry Market is set to witness a CAGR of over 6% from 2024 to 2032. This growth is attributed to technological advancements, including the integration of drones, sensors, and GPS systems, which have revolutionized forest management practices. The technologies facilitate enhanced monitoring of forest health, more accurate timber yield predictions, and efficient resource management.

In early 2024, the Soil and Water Outcomes Fund (SWOF) collaborated with John Deere to harness digital field data for heightened efficiency. Through this partnership, SWOF farmers can utilize John Deere's Operations Center for data management and sharing, bolstering data accuracy and promoting sustainable practices. Rising environmental concerns and a global push for sustainable forest management are amplifying the demand for precision forestry solutions, which adeptly minimize waste and optimize resource utilization.

The precision forestry market is segmented by technology, application, end-use, and region.

The GIS and mapping segment is poised for significant growth through 2032, driven by the escalating demand for thorough spatial analysis and management. With forests increasingly threatened by climate change and human interventions, precise mapping and geospatial data are vital for informed decision-making and conservation. GIS technology offers real-time insights into forest conditions, guiding professionals in resource allocation, habitat preservation, and sustainable management. This surge in demand underscores the industry's pivot towards advanced analytical tools to tackle intricate environmental challenges.

By 2032, the forestry contractors segment is expected to capture a substantial share of the precision forestry market, as they increasingly adopt advanced technologies for more efficient and cost-effective forest management. As these contractors strive for heightened operational efficiency and cost reductions, they are gravitating towards precision forestry solutions that provide in-depth insights and automation. Such advancements enable contractors to refine logging processes, enhance timber yield, and better allocate resources, driving up the demand for precision forestry technologies. This trend is further propelled by contractors' growing focus on operational excellence and securing a competitive edge.

Europe precision forestry market is projected to grow at a commendable rate during 2024-2032, fueled by regulatory backing and heightened environmental consciousness. European nations are enacting stringent regulations to champion sustainable forestry and mitigate environmental harm. Such a regulatory backdrop not only promotes the adoption of precision forestry technologies for efficient forest management but also ensures adherence to environmental standards. Furthermore, the increasing emphasis from both the public and government on climate change and biodiversity conservation is steering the region's forestry sector towards sophisticated, data-centric methodologies.

Product Code: 10449

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope and definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Raw material supplier
- 3.2.2 Component supplier
- 3.2.3 Technology providers
- 3.2.4 Manufacturers
- 3.2.5 Service providers
- 3.2.6 End-user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Rapid digitization and automation in forest management
  - 3.8.1.2 Government initiatives and policies supporting forestry digitization.
  - 3.8.1.3 Increasing demand for sustainable forest management.
  - 3.8.1.4 Advancements in remote sensing and GIS technologies
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 High initial costs restrict adoption for small operations
  - 3.8.2.2 Connectivity and Infrastructure in remote forest areas
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021-2032 ($Bn)

5.1 Remote sensing
- 5.1.1 Lidar
- 5.1.2 Satellite
- 5.1.3 UAVs/Drones
5.2 GIS and mapping
- 5.2.1 Geographic information system (GIS)
- 5.2.2 Global positioning system (GPS)
- 5.2.3 Mapping software
5.3 Data management and analytics
- 5.3.1 Cloud computing
- 5.3.2 Big data analytics
- 5.3.3 Machine learning/Artificial Intelligence
5.4 Smart harvesting
- 5.4.1 Automated harvesters
- 5.4.2 Forwarders
- 5.4.3 Skidders
5.5 Inventory and yield monitoring

Chapter 6 Market Estimates and Forecast, By Application, 2021-2032 ($Bn)

6.1 Forest management
- 6.1.1 Inventory management
- 6.1.2 Forest health monitoring
- 6.1.3 Fire detection and management
6.2 Timber harvesting
- 6.2.1 Site planning
- 6.2.2 Logging
- 6.2.3 Hauling
6.3 Wildlife and habitat management
- 6.3.1 Species monitoring
- 6.3.2 Habitat conservation
6.4 Reforestation and afforestation
- 6.4.1 Tree planting
- 6.4.2 Site preparation
- 6.4.3 Monitoring growth

Chapter 7 Market Estimates and Forecast, By End Use, 2021-2032 ($Bn)

7.1 Government agencies
7.2 Forestry contractors
7.3 Academic and research institutes

Chapter 8 Market Estimates and Forecast, By Region, 2021-2032 ($Bn)

8.1 Key trends, by region
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Nordics
- 8.3.7 Rest of Europe
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Southeast Asia
- 8.4.7 Rest of Asia Pacific
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
- 8.5.4 Rest of Latin America
8.6 MEA
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE
- 8.6.4 Rest of MEA

Chapter 9 Company Profiles

9.1 DynaRoad Oy
9.2 F4 Tech
9.3 Hexagon AB
9.4 Hitachi Construction Machinery Co., Ltd.
9.5 John Deere Company
9.6 Kesla Oyj
9.7 Komatsu Ltd.
9.8 Ponsse Plc
9.9 Rottne Industri AB
9.10 SibWoodExpo (Sibexpocentre)
9.11 Silvacom Ltd.
9.12 SP Maskiner AB
9.13 Stora Enso
9.14 Tigercat International Inc.
9.15 TimberWest
9.16 Topcon Corporation
9.17 Treemetrics
9.18 Trellis
9.19 Trimble Inc.
9.20 Weyerhaeuser Company