Global Smart Forestry
Global Smart Forestry

Smart Forestry Comprehensive Study by Application (Maintaining forest biodiversity, Promoting Adoption and Mitigation, SFM, Integration of Social Dimension, Others), Components (Software, Solutions), End Use (Private, Commercial), Forest Type (Rainforest, Temperate Forest, Boreal Forest, Coniferous Forest) Players and Region - Global Market Outlook to 2025

Smart Forestry Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Nov 2020 Edition 245 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
What is Smart Forestry Market?

Smart forestry is the branch of sustainable forest management which aims for managing the forest in response to climate change. It combines the ecologically-based forestry, best site-management practices, in coordination with adjacent landowners. It focuses to use nature’s clues as a guide to match the tree and plant species with the right habitat type over the life of a forest. This method ensures that right species in the right place are placed where it will thrive. The smart forestry includes the machinery and software.

The market study is being classified, by Application (Maintaining forest biodiversity, Promoting Adoption and Mitigation, SFM, Integration of Social Dimension and Others) and major geographies with country level break-up.

Probos (Netherlands), SMART Forest Solutions (United States), AF POYRY AB (Sweden), The forest company (Brazil), Metsahallitus (Finland), Nikkei Inc. (Japan), Ecotrust (United States) and Drax Group plc (United Kingdom) are some of the key players profiled in the study.

The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Vendors will contribute to the maximum growth of Global Smart Forestry market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global Smart Forestry market by Type, Application and Region.

On the basis of geography, the market of Smart Forestry has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Growing Focus on Climate Change

Market Trend
  • Increasing Implementation of the Smart Forestry

Restraints
  • High Costs Associated with Equipment and Software

Opportunities
  • Government Initiatives and Investments for Smart Forestry

Challenges
  • Stiff Competition Among the Major Players





Key Target Audience
Equipment Manufacturers, Raw material suppliers, Government associations, Research organizations, Software vendors and Others

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Application
  • Maintaining forest biodiversity
  • Promoting Adoption and Mitigation
  • SFM
  • Integration of Social Dimension
  • Others
By Components
  • Software
  • Solutions

By End Use
  • Private
  • Commercial

By Forest Type
  • Rainforest
  • Temperate Forest
  • Boreal Forest
  • Coniferous Forest

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Focus on Climate Change
    • 3.3. Market Challenges
      • 3.3.1. Stiff Competition Among the Major Players
    • 3.4. Market Trends
      • 3.4.1. Increasing Implementation of the Smart Forestry
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Smart Forestry, by Application, Components, End Use, Forest Type and Region (value) (2014-2019)
    • 5.1. Introduction
    • 5.2. Global Smart Forestry (Value)
      • 5.2.1. Global Smart Forestry by: Application (Value)
        • 5.2.1.1. Maintaining forest biodiversity
        • 5.2.1.2. Promoting Adoption and Mitigation
        • 5.2.1.3. SFM
        • 5.2.1.4. Integration of Social Dimension
        • 5.2.1.5. Others
      • 5.2.2. Global Smart Forestry by: Components (Value)
        • 5.2.2.1. Software
        • 5.2.2.2. Solutions
      • 5.2.3. Global Smart Forestry by: End Use (Value)
        • 5.2.3.1. Private
        • 5.2.3.2. Commercial
      • 5.2.4. Global Smart Forestry by: Forest Type (Value)
        • 5.2.4.1. Rainforest
        • 5.2.4.2. Temperate Forest
        • 5.2.4.3. Boreal Forest
        • 5.2.4.4. Coniferous Forest
      • 5.2.5. Global Smart Forestry Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. Smart Forestry: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2019)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Probos (Netherlands)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SMART Forest Solutions (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. AF POYRY AB (Sweden)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. The forest company (Brazil)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Metsahallitus (Finland)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Nikkei Inc. (Japan)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Ecotrust (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Drax Group plc (United Kingdom)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
  • 7. Global Smart Forestry Sale, by Application, Components, End Use, Forest Type and Region (value) (2020-2025)
    • 7.1. Introduction
    • 7.2. Global Smart Forestry (Value)
      • 7.2.1. Global Smart Forestry by: Application (Value)
        • 7.2.1.1. Maintaining forest biodiversity
        • 7.2.1.2. Promoting Adoption and Mitigation
        • 7.2.1.3. SFM
        • 7.2.1.4. Integration of Social Dimension
        • 7.2.1.5. Others
      • 7.2.2. Global Smart Forestry by: Components (Value)
        • 7.2.2.1. Software
        • 7.2.2.2. Solutions
      • 7.2.3. Global Smart Forestry by: End Use (Value)
        • 7.2.3.1. Private
        • 7.2.3.2. Commercial
      • 7.2.4. Global Smart Forestry by: Forest Type (Value)
        • 7.2.4.1. Rainforest
        • 7.2.4.2. Temperate Forest
        • 7.2.4.3. Boreal Forest
        • 7.2.4.4. Coniferous Forest
      • 7.2.5. Global Smart Forestry Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Smart Forestry: by Application(USD Million)
  • Table 2. Smart Forestry Maintaining forest biodiversity , by Region USD Million (2014-2019)
  • Table 3. Smart Forestry Promoting Adoption and Mitigation , by Region USD Million (2014-2019)
  • Table 4. Smart Forestry SFM , by Region USD Million (2014-2019)
  • Table 5. Smart Forestry Integration of Social Dimension , by Region USD Million (2014-2019)
  • Table 6. Smart Forestry Others , by Region USD Million (2014-2019)
  • Table 7. Smart Forestry: by Components(USD Million)
  • Table 8. Smart Forestry Software , by Region USD Million (2014-2019)
  • Table 9. Smart Forestry Solutions , by Region USD Million (2014-2019)
  • Table 10. Smart Forestry: by End Use(USD Million)
  • Table 11. Smart Forestry Private , by Region USD Million (2014-2019)
  • Table 12. Smart Forestry Commercial , by Region USD Million (2014-2019)
  • Table 13. Smart Forestry: by Forest Type(USD Million)
  • Table 14. Smart Forestry Rainforest , by Region USD Million (2014-2019)
  • Table 15. Smart Forestry Temperate Forest , by Region USD Million (2014-2019)
  • Table 16. Smart Forestry Boreal Forest , by Region USD Million (2014-2019)
  • Table 17. Smart Forestry Coniferous Forest , by Region USD Million (2014-2019)
  • Table 18. South America Smart Forestry, by Country USD Million (2014-2019)
  • Table 19. South America Smart Forestry, by Application USD Million (2014-2019)
  • Table 20. South America Smart Forestry, by Components USD Million (2014-2019)
  • Table 21. South America Smart Forestry, by End Use USD Million (2014-2019)
  • Table 22. South America Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 23. Brazil Smart Forestry, by Application USD Million (2014-2019)
  • Table 24. Brazil Smart Forestry, by Components USD Million (2014-2019)
  • Table 25. Brazil Smart Forestry, by End Use USD Million (2014-2019)
  • Table 26. Brazil Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 27. Argentina Smart Forestry, by Application USD Million (2014-2019)
  • Table 28. Argentina Smart Forestry, by Components USD Million (2014-2019)
  • Table 29. Argentina Smart Forestry, by End Use USD Million (2014-2019)
  • Table 30. Argentina Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 31. Rest of South America Smart Forestry, by Application USD Million (2014-2019)
  • Table 32. Rest of South America Smart Forestry, by Components USD Million (2014-2019)
  • Table 33. Rest of South America Smart Forestry, by End Use USD Million (2014-2019)
  • Table 34. Rest of South America Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 35. Asia Pacific Smart Forestry, by Country USD Million (2014-2019)
  • Table 36. Asia Pacific Smart Forestry, by Application USD Million (2014-2019)
  • Table 37. Asia Pacific Smart Forestry, by Components USD Million (2014-2019)
  • Table 38. Asia Pacific Smart Forestry, by End Use USD Million (2014-2019)
  • Table 39. Asia Pacific Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 40. China Smart Forestry, by Application USD Million (2014-2019)
  • Table 41. China Smart Forestry, by Components USD Million (2014-2019)
  • Table 42. China Smart Forestry, by End Use USD Million (2014-2019)
  • Table 43. China Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 44. Japan Smart Forestry, by Application USD Million (2014-2019)
  • Table 45. Japan Smart Forestry, by Components USD Million (2014-2019)
  • Table 46. Japan Smart Forestry, by End Use USD Million (2014-2019)
  • Table 47. Japan Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 48. India Smart Forestry, by Application USD Million (2014-2019)
  • Table 49. India Smart Forestry, by Components USD Million (2014-2019)
  • Table 50. India Smart Forestry, by End Use USD Million (2014-2019)
  • Table 51. India Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 52. South Korea Smart Forestry, by Application USD Million (2014-2019)
  • Table 53. South Korea Smart Forestry, by Components USD Million (2014-2019)
  • Table 54. South Korea Smart Forestry, by End Use USD Million (2014-2019)
  • Table 55. South Korea Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 56. Taiwan Smart Forestry, by Application USD Million (2014-2019)
  • Table 57. Taiwan Smart Forestry, by Components USD Million (2014-2019)
  • Table 58. Taiwan Smart Forestry, by End Use USD Million (2014-2019)
  • Table 59. Taiwan Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 60. Australia Smart Forestry, by Application USD Million (2014-2019)
  • Table 61. Australia Smart Forestry, by Components USD Million (2014-2019)
  • Table 62. Australia Smart Forestry, by End Use USD Million (2014-2019)
  • Table 63. Australia Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 64. Rest of Asia-Pacific Smart Forestry, by Application USD Million (2014-2019)
  • Table 65. Rest of Asia-Pacific Smart Forestry, by Components USD Million (2014-2019)
  • Table 66. Rest of Asia-Pacific Smart Forestry, by End Use USD Million (2014-2019)
  • Table 67. Rest of Asia-Pacific Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 68. Europe Smart Forestry, by Country USD Million (2014-2019)
  • Table 69. Europe Smart Forestry, by Application USD Million (2014-2019)
  • Table 70. Europe Smart Forestry, by Components USD Million (2014-2019)
  • Table 71. Europe Smart Forestry, by End Use USD Million (2014-2019)
  • Table 72. Europe Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 73. Germany Smart Forestry, by Application USD Million (2014-2019)
  • Table 74. Germany Smart Forestry, by Components USD Million (2014-2019)
  • Table 75. Germany Smart Forestry, by End Use USD Million (2014-2019)
  • Table 76. Germany Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 77. France Smart Forestry, by Application USD Million (2014-2019)
  • Table 78. France Smart Forestry, by Components USD Million (2014-2019)
  • Table 79. France Smart Forestry, by End Use USD Million (2014-2019)
  • Table 80. France Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 81. Italy Smart Forestry, by Application USD Million (2014-2019)
  • Table 82. Italy Smart Forestry, by Components USD Million (2014-2019)
  • Table 83. Italy Smart Forestry, by End Use USD Million (2014-2019)
  • Table 84. Italy Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 85. United Kingdom Smart Forestry, by Application USD Million (2014-2019)
  • Table 86. United Kingdom Smart Forestry, by Components USD Million (2014-2019)
  • Table 87. United Kingdom Smart Forestry, by End Use USD Million (2014-2019)
  • Table 88. United Kingdom Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 89. Netherlands Smart Forestry, by Application USD Million (2014-2019)
  • Table 90. Netherlands Smart Forestry, by Components USD Million (2014-2019)
  • Table 91. Netherlands Smart Forestry, by End Use USD Million (2014-2019)
  • Table 92. Netherlands Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 93. Rest of Europe Smart Forestry, by Application USD Million (2014-2019)
  • Table 94. Rest of Europe Smart Forestry, by Components USD Million (2014-2019)
  • Table 95. Rest of Europe Smart Forestry, by End Use USD Million (2014-2019)
  • Table 96. Rest of Europe Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 97. MEA Smart Forestry, by Country USD Million (2014-2019)
  • Table 98. MEA Smart Forestry, by Application USD Million (2014-2019)
  • Table 99. MEA Smart Forestry, by Components USD Million (2014-2019)
  • Table 100. MEA Smart Forestry, by End Use USD Million (2014-2019)
  • Table 101. MEA Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 102. Middle East Smart Forestry, by Application USD Million (2014-2019)
  • Table 103. Middle East Smart Forestry, by Components USD Million (2014-2019)
  • Table 104. Middle East Smart Forestry, by End Use USD Million (2014-2019)
  • Table 105. Middle East Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 106. Africa Smart Forestry, by Application USD Million (2014-2019)
  • Table 107. Africa Smart Forestry, by Components USD Million (2014-2019)
  • Table 108. Africa Smart Forestry, by End Use USD Million (2014-2019)
  • Table 109. Africa Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 110. North America Smart Forestry, by Country USD Million (2014-2019)
  • Table 111. North America Smart Forestry, by Application USD Million (2014-2019)
  • Table 112. North America Smart Forestry, by Components USD Million (2014-2019)
  • Table 113. North America Smart Forestry, by End Use USD Million (2014-2019)
  • Table 114. North America Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 115. United States Smart Forestry, by Application USD Million (2014-2019)
  • Table 116. United States Smart Forestry, by Components USD Million (2014-2019)
  • Table 117. United States Smart Forestry, by End Use USD Million (2014-2019)
  • Table 118. United States Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 119. Canada Smart Forestry, by Application USD Million (2014-2019)
  • Table 120. Canada Smart Forestry, by Components USD Million (2014-2019)
  • Table 121. Canada Smart Forestry, by End Use USD Million (2014-2019)
  • Table 122. Canada Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 123. Mexico Smart Forestry, by Application USD Million (2014-2019)
  • Table 124. Mexico Smart Forestry, by Components USD Million (2014-2019)
  • Table 125. Mexico Smart Forestry, by End Use USD Million (2014-2019)
  • Table 126. Mexico Smart Forestry, by Forest Type USD Million (2014-2019)
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Smart Forestry: by Application(USD Million)
  • Table 136. Smart Forestry Maintaining forest biodiversity , by Region USD Million (2020-2025)
  • Table 137. Smart Forestry Promoting Adoption and Mitigation , by Region USD Million (2020-2025)
  • Table 138. Smart Forestry SFM , by Region USD Million (2020-2025)
  • Table 139. Smart Forestry Integration of Social Dimension , by Region USD Million (2020-2025)
  • Table 140. Smart Forestry Others , by Region USD Million (2020-2025)
  • Table 141. Smart Forestry: by Components(USD Million)
  • Table 142. Smart Forestry Software , by Region USD Million (2020-2025)
  • Table 143. Smart Forestry Solutions , by Region USD Million (2020-2025)
  • Table 144. Smart Forestry: by End Use(USD Million)
  • Table 145. Smart Forestry Private , by Region USD Million (2020-2025)
  • Table 146. Smart Forestry Commercial , by Region USD Million (2020-2025)
  • Table 147. Smart Forestry: by Forest Type(USD Million)
  • Table 148. Smart Forestry Rainforest , by Region USD Million (2020-2025)
  • Table 149. Smart Forestry Temperate Forest , by Region USD Million (2020-2025)
  • Table 150. Smart Forestry Boreal Forest , by Region USD Million (2020-2025)
  • Table 151. Smart Forestry Coniferous Forest , by Region USD Million (2020-2025)
  • Table 152. South America Smart Forestry, by Country USD Million (2020-2025)
  • Table 153. South America Smart Forestry, by Application USD Million (2020-2025)
  • Table 154. South America Smart Forestry, by Components USD Million (2020-2025)
  • Table 155. South America Smart Forestry, by End Use USD Million (2020-2025)
  • Table 156. South America Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 157. Brazil Smart Forestry, by Application USD Million (2020-2025)
  • Table 158. Brazil Smart Forestry, by Components USD Million (2020-2025)
  • Table 159. Brazil Smart Forestry, by End Use USD Million (2020-2025)
  • Table 160. Brazil Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 161. Argentina Smart Forestry, by Application USD Million (2020-2025)
  • Table 162. Argentina Smart Forestry, by Components USD Million (2020-2025)
  • Table 163. Argentina Smart Forestry, by End Use USD Million (2020-2025)
  • Table 164. Argentina Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 165. Rest of South America Smart Forestry, by Application USD Million (2020-2025)
  • Table 166. Rest of South America Smart Forestry, by Components USD Million (2020-2025)
  • Table 167. Rest of South America Smart Forestry, by End Use USD Million (2020-2025)
  • Table 168. Rest of South America Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 169. Asia Pacific Smart Forestry, by Country USD Million (2020-2025)
  • Table 170. Asia Pacific Smart Forestry, by Application USD Million (2020-2025)
  • Table 171. Asia Pacific Smart Forestry, by Components USD Million (2020-2025)
  • Table 172. Asia Pacific Smart Forestry, by End Use USD Million (2020-2025)
  • Table 173. Asia Pacific Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 174. China Smart Forestry, by Application USD Million (2020-2025)
  • Table 175. China Smart Forestry, by Components USD Million (2020-2025)
  • Table 176. China Smart Forestry, by End Use USD Million (2020-2025)
  • Table 177. China Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 178. Japan Smart Forestry, by Application USD Million (2020-2025)
  • Table 179. Japan Smart Forestry, by Components USD Million (2020-2025)
  • Table 180. Japan Smart Forestry, by End Use USD Million (2020-2025)
  • Table 181. Japan Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 182. India Smart Forestry, by Application USD Million (2020-2025)
  • Table 183. India Smart Forestry, by Components USD Million (2020-2025)
  • Table 184. India Smart Forestry, by End Use USD Million (2020-2025)
  • Table 185. India Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 186. South Korea Smart Forestry, by Application USD Million (2020-2025)
  • Table 187. South Korea Smart Forestry, by Components USD Million (2020-2025)
  • Table 188. South Korea Smart Forestry, by End Use USD Million (2020-2025)
  • Table 189. South Korea Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 190. Taiwan Smart Forestry, by Application USD Million (2020-2025)
  • Table 191. Taiwan Smart Forestry, by Components USD Million (2020-2025)
  • Table 192. Taiwan Smart Forestry, by End Use USD Million (2020-2025)
  • Table 193. Taiwan Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 194. Australia Smart Forestry, by Application USD Million (2020-2025)
  • Table 195. Australia Smart Forestry, by Components USD Million (2020-2025)
  • Table 196. Australia Smart Forestry, by End Use USD Million (2020-2025)
  • Table 197. Australia Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 198. Rest of Asia-Pacific Smart Forestry, by Application USD Million (2020-2025)
  • Table 199. Rest of Asia-Pacific Smart Forestry, by Components USD Million (2020-2025)
  • Table 200. Rest of Asia-Pacific Smart Forestry, by End Use USD Million (2020-2025)
  • Table 201. Rest of Asia-Pacific Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 202. Europe Smart Forestry, by Country USD Million (2020-2025)
  • Table 203. Europe Smart Forestry, by Application USD Million (2020-2025)
  • Table 204. Europe Smart Forestry, by Components USD Million (2020-2025)
  • Table 205. Europe Smart Forestry, by End Use USD Million (2020-2025)
  • Table 206. Europe Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 207. Germany Smart Forestry, by Application USD Million (2020-2025)
  • Table 208. Germany Smart Forestry, by Components USD Million (2020-2025)
  • Table 209. Germany Smart Forestry, by End Use USD Million (2020-2025)
  • Table 210. Germany Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 211. France Smart Forestry, by Application USD Million (2020-2025)
  • Table 212. France Smart Forestry, by Components USD Million (2020-2025)
  • Table 213. France Smart Forestry, by End Use USD Million (2020-2025)
  • Table 214. France Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 215. Italy Smart Forestry, by Application USD Million (2020-2025)
  • Table 216. Italy Smart Forestry, by Components USD Million (2020-2025)
  • Table 217. Italy Smart Forestry, by End Use USD Million (2020-2025)
  • Table 218. Italy Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 219. United Kingdom Smart Forestry, by Application USD Million (2020-2025)
  • Table 220. United Kingdom Smart Forestry, by Components USD Million (2020-2025)
  • Table 221. United Kingdom Smart Forestry, by End Use USD Million (2020-2025)
  • Table 222. United Kingdom Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 223. Netherlands Smart Forestry, by Application USD Million (2020-2025)
  • Table 224. Netherlands Smart Forestry, by Components USD Million (2020-2025)
  • Table 225. Netherlands Smart Forestry, by End Use USD Million (2020-2025)
  • Table 226. Netherlands Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 227. Rest of Europe Smart Forestry, by Application USD Million (2020-2025)
  • Table 228. Rest of Europe Smart Forestry, by Components USD Million (2020-2025)
  • Table 229. Rest of Europe Smart Forestry, by End Use USD Million (2020-2025)
  • Table 230. Rest of Europe Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 231. MEA Smart Forestry, by Country USD Million (2020-2025)
  • Table 232. MEA Smart Forestry, by Application USD Million (2020-2025)
  • Table 233. MEA Smart Forestry, by Components USD Million (2020-2025)
  • Table 234. MEA Smart Forestry, by End Use USD Million (2020-2025)
  • Table 235. MEA Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 236. Middle East Smart Forestry, by Application USD Million (2020-2025)
  • Table 237. Middle East Smart Forestry, by Components USD Million (2020-2025)
  • Table 238. Middle East Smart Forestry, by End Use USD Million (2020-2025)
  • Table 239. Middle East Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 240. Africa Smart Forestry, by Application USD Million (2020-2025)
  • Table 241. Africa Smart Forestry, by Components USD Million (2020-2025)
  • Table 242. Africa Smart Forestry, by End Use USD Million (2020-2025)
  • Table 243. Africa Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 244. North America Smart Forestry, by Country USD Million (2020-2025)
  • Table 245. North America Smart Forestry, by Application USD Million (2020-2025)
  • Table 246. North America Smart Forestry, by Components USD Million (2020-2025)
  • Table 247. North America Smart Forestry, by End Use USD Million (2020-2025)
  • Table 248. North America Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 249. United States Smart Forestry, by Application USD Million (2020-2025)
  • Table 250. United States Smart Forestry, by Components USD Million (2020-2025)
  • Table 251. United States Smart Forestry, by End Use USD Million (2020-2025)
  • Table 252. United States Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 253. Canada Smart Forestry, by Application USD Million (2020-2025)
  • Table 254. Canada Smart Forestry, by Components USD Million (2020-2025)
  • Table 255. Canada Smart Forestry, by End Use USD Million (2020-2025)
  • Table 256. Canada Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 257. Mexico Smart Forestry, by Application USD Million (2020-2025)
  • Table 258. Mexico Smart Forestry, by Components USD Million (2020-2025)
  • Table 259. Mexico Smart Forestry, by End Use USD Million (2020-2025)
  • Table 260. Mexico Smart Forestry, by Forest Type USD Million (2020-2025)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Smart Forestry: by Application USD Million (2014-2019)
  • Figure 5. Global Smart Forestry: by Components USD Million (2014-2019)
  • Figure 6. Global Smart Forestry: by End Use USD Million (2014-2019)
  • Figure 7. Global Smart Forestry: by Forest Type USD Million (2014-2019)
  • Figure 8. South America Smart Forestry Share (%), by Country
  • Figure 9. Asia Pacific Smart Forestry Share (%), by Country
  • Figure 10. Europe Smart Forestry Share (%), by Country
  • Figure 11. MEA Smart Forestry Share (%), by Country
  • Figure 12. North America Smart Forestry Share (%), by Country
  • Figure 13. Global Smart Forestry share by Players 2019 (%)
  • Figure 14. Global Smart Forestry share by Players (Top 3) 2019(%)
  • Figure 15. Global Smart Forestry share by Players (Top 5) 2019(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Probos (Netherlands) Revenue, Net Income and Gross profit
  • Figure 18. Probos (Netherlands) Revenue: by Geography 2019
  • Figure 19. SMART Forest Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 20. SMART Forest Solutions (United States) Revenue: by Geography 2019
  • Figure 21. AF POYRY AB (Sweden) Revenue, Net Income and Gross profit
  • Figure 22. AF POYRY AB (Sweden) Revenue: by Geography 2019
  • Figure 23. The forest company (Brazil) Revenue, Net Income and Gross profit
  • Figure 24. The forest company (Brazil) Revenue: by Geography 2019
  • Figure 25. Metsahallitus (Finland) Revenue, Net Income and Gross profit
  • Figure 26. Metsahallitus (Finland) Revenue: by Geography 2019
  • Figure 27. Nikkei Inc. (Japan) Revenue, Net Income and Gross profit
  • Figure 28. Nikkei Inc. (Japan) Revenue: by Geography 2019
  • Figure 29. Ecotrust (United States) Revenue, Net Income and Gross profit
  • Figure 30. Ecotrust (United States) Revenue: by Geography 2019
  • Figure 31. Drax Group plc (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Drax Group plc (United Kingdom) Revenue: by Geography 2019
  • Figure 33. Global Smart Forestry: by Application USD Million (2020-2025)
  • Figure 34. Global Smart Forestry: by Components USD Million (2020-2025)
  • Figure 35. Global Smart Forestry: by End Use USD Million (2020-2025)
  • Figure 36. Global Smart Forestry: by Forest Type USD Million (2020-2025)
  • Figure 37. South America Smart Forestry Share (%), by Country
  • Figure 38. Asia Pacific Smart Forestry Share (%), by Country
  • Figure 39. Europe Smart Forestry Share (%), by Country
  • Figure 40. MEA Smart Forestry Share (%), by Country
  • Figure 41. North America Smart Forestry Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Probos (Netherlands)
  • SMART Forest Solutions (United States)
  • AF POYRY AB (Sweden)
  • The forest company (Brazil)
  • Metsahallitus (Finland)
  • Nikkei Inc. (Japan)
  • Ecotrust (United States)
  • Drax Group plc (United Kingdom)
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