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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
The wood products industry is steadily moving toward the goal of automated identification and production in order to enhance enterprises' manufacturing intelligence.
This goal is being pursued with increasing study of its theory and technology in the forestry industry. On the basis of its global development, theoretical and algorithmic research on machine vision-based wood recognition technology's image acquisition, feature extraction, recognition, and classification were analyzed in this study.
The uses of machine vision in wood materials, including the identification of tree species, wood inspection and classification, product defect detection, surface color analysis of wood, and quality control of furnishing products, were thoroughly examined.
The current growth of furniture and woodworking businesses took into account the growing use of machine vision in the production and management of wood products.
These findings provide a solid foundation for research into wood science, as well as for the intelligent production of wooden furniture and the effective development of cleaner, greener furniture manufacturing, both of which have the potential to enhance the impact of wood products on the environment.
TheGlobal Wood industry machine vision marketaccounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
At the German Ligna exhibition, CABINET VISION will demonstrate its award-winning software. The most widely used design-for-manufacturing software in the woodworking industry is CABINET VISION, which offers custom cabinet and room design, photorealistic renderings, material optimization, full costing directly from the design, as well as cutlists and bill of materials.
CABINET VISION automatically generates machine-ready G-Code for CNC routers, point-to-point machines, panel saws, drill and dowel machines, chop saws, and other CNC machinery when combined with the potent S2M Center.
The most recent version includes a number of features, one of which is automatic lighting, which significantly raises the quality of renderings used in customer presentations.
The product now automates all machining for Blum Dynaplan's designs and components thanks to a partnership with BLUM.
For even faster toolpath creation, nesting, and machining, Autocad designs can now be imported directly into CABINET VISION's S2M Center.
The newest Screen-To-Machine module, S2M Essential, will also be available in the booth for information and demonstrations, highlighting its suitability for small businesses looking to automate CNC production.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |