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Global Forestry Machinery Market to reach USD XX billion by the end of 2029

Global Forestry Machinery Market Size study & Forecast, by Machinery ( Skidders, Forwarders, Swing Machines, Bunchers, and other forestry machinery.) and Regional Analysis, 2022-2029

Product Code: OIRAL-79061477
Publish Date: 10-04-2023
Page: 200

The global Forestry Machinery Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2029. Forestry Machinery is power-driven equipment that aids in harvesting excavation and finishing of a wooden area. It includes Skidders, Forwarders, Swing Machines, and Bunchers. The Forestry Machinery market is expanding because of factors such as the rising food demand globally and growing cultivation activities

According to Statista in 2020, the global food market generated a revenue of around USD 9.43 tn. Also, the market is estimated to rise annually by 6.21 %. By 2027, the market is expected to attain a volume of 2,917,437.3 mKg. Whereas rising demand for biomass and energy usage and growing awareness of forest preservation create lucrative opportunities for the market. However, the threat of substitutes hampers the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Forestry Machinery Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. Europe dominated the market in terms of revenue, owing to the increasing financial support from agricultural policy to rural areas and measures are taken by EU countries. Also, Europe is expected to grow significantly during the forecast period, owing to factors such as increasing food demand, growing cultivation activities and preference of mechanical harvesting

Major market players included in this report are:
Deere and Company
Barko Hydraulics L.L.C.
Tigercat International Inc
Kubota Corporation
Rottne Industri AB
Kawasaki Heavy Industries Ltd

Recent Developments in the Market:
 In May 2022, Intelligent Boom Control (IBC), a new operator assistance control feature for the 900 MH-Series Tracked Harvester, was announced by John Deere. Intelligent Boom Control assists the operator by ensuring consistent and smooth operation on the job. This series is the result of a global collaboration between the John Deere Wheeled Cut-to-Length and Full-Tree Forestry teams, with the goal of incorporating IBC’s field-proven technology into the MH-Series of tracked harvesters.
 In September 2022 : Komatsu introduced a swing machine for wood processing. The new Komatsu PC230F-11 forestry processor is intended for heavy-duty timber delimbing, cutting, and stacking operations. Large trees can be moved more easily with this powerful swing system and a massive circle. The machine is powered by a 197-horsepower Komatsu Tier 4 Final engine, which is more fuel efficient than Tier 4 Interim engines. It also has twice as much fuel capacity. Komatsu relocated the fuel tank to the counterweight, making more room for tools, oil, and chains.
Global Forestry Machinery Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Machinery, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Machinery:
Swing Machines,
other forestry machinery.

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Forestry Machinery Market, by Region, 2019-2029 (USD Billion)
1.2.2. Forestry Machinery Market, by Machinery, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Forestry Machinery Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Forestry Machinery Market Dynamics
3.1. Forestry Machinery Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Rising food demand globally Growing cultivation activities
3.1.2. Market Challenges Threat of substitute
3.1.3. Market Opportunities Rising demand for biomass and energy usage Growing awareness of forest preservation
Chapter 4. Global Forestry Machinery Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Forestry Machinery Market, by Machinery
6.1. Market Snapshot
6.2. Global Forestry Machinery Market by Machinery, Performance – Potential Analysis
6.3. Global Forestry Machinery Market Estimates & Forecasts by Machinery 2019-2029 (USD Billion)
6.4. Forestry Machinery Market, Sub Segment Analysis
6.4.1. Skidders,
6.4.2. Forwarders,
6.4.3. Swing Machines,
6.4.4. Bunchers,
6.4.5. other forestry machinery.
Chapter 7. Global Forestry Machinery Market, Regional Analysis
7.1. Forestry Machinery Market, Regional Market Snapshot
7.2. North America Forestry Machinery Market
7.2.1. U.S. Forestry Machinery Market Machinery breakdown estimates & forecasts, 2019-2029
7.2.2. Canada Forestry Machinery Market
7.3. Europe Forestry Machinery Market Snapshot
7.3.1. U.K. Forestry Machinery Market
7.3.2. Germany Forestry Machinery Market
7.3.3. France Forestry Machinery Market
7.3.4. Spain Forestry Machinery Market
7.3.5. Italy Forestry Machinery Market
7.3.6. Rest of Europe Forestry Machinery Market
7.4. Asia-Pacific Forestry Machinery Market Snapshot
7.4.1. China Forestry Machinery Market
7.4.2. India Forestry Machinery Market
7.4.3. Japan Forestry Machinery Market
7.4.4. Australia Forestry Machinery Market
7.4.5. South Korea Forestry Machinery Market
7.4.6. Rest of Asia Pacific Forestry Machinery Market
7.5. Latin America Forestry Machinery Market Snapshot
7.5.1. Brazil Forestry Machinery Market
7.5.2. Mexico Forestry Machinery Market
7.6. Rest of The World Forestry Machinery Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Deere and Company Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.2.2. Komatsu
8.2.3. Barko Hydraulics L.L.C.
8.2.4. Tigercat International Inc
8.2.5. Caterpillar
8.2.6. Kubota Corporation
8.2.7. Rottne Industri AB
8.2.8. Kawasaki Heavy Industries Ltd
8.2.9. Volvo
8.2.10. Hitachi
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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