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Global Agricultural Machinery Manufacturing Market to reach USD 173.68 billion by the end of 2030.

Global Agricultural Machinery Manufacturing Market Size study & Forecast, by Type (Agriculture Spraying Equipment, Hay and Forage Machines, Tractors, Harvesters, Soil Preparation and Cultivation, Irrigation and Crop Processing, Others), by Automation (Manual, Semi-Automatic, Automatic), by Business (Original Equipment Manufacturers (OEMs), Aftersales) and Regional Analysis, 2023-2030

Product Code: OIRAL-72730088
Publish Date: 13-07-2023
Page: 200

Global Agricultural Machinery Manufacturing Market is valued at approximately USD 121.20 billion in 2022 and is anticipated to grow with a CAGR growth rate of more than 4.6% over the forecast period 2023-2030. Agriculture machinery manufacturing involves the design, production, and assembly of equipment specifically tailored for agricultural purposes. These machines play a crucial role in enhancing agricultural productivity and efficiency by mechanizing various tasks involved in farming and livestock management. Agriculture machinery manufacturers develop a wide range of equipment, including tractors, harvesters, seeders, sprayers, irrigation systems, and livestock handling machinery. These machines are designed to perform tasks such as plowing, planting, fertilizing, spraying, harvesting, and transporting agricultural produce. The goal of agriculture machinery manufacturing is to provide farmers with reliable, durable, and technologically advanced equipment that helps optimize farming operations, improve yields, reduce labor requirements, and ultimately contribute to the sustainability and profitability of the agriculture industry. Moreover, increasing demand for food and the growing agriculture industry are anticipated to be the growth drivers of this market. Furthermore, an adaptation of smart farming solutions and government support & initiatives may encourage the growth of the market.

According to International Monitory Fund (IMF) in 2022, there are currently over 828 million people worldwide who experience chronic hunger, while an alarming 345 million individuals face acute food insecurity, putting their lives and livelihoods at immediate risk. These staggering figures highlight the critical and urgent need to address global food insecurity, ensuring that access to sufficient and nutritious food becomes a reality for everyone. Also, increasing the hunger index significantly leads to the rise in demand for food worldwide. According to India Brand Equity Foundation (IBEF) in 2022, the Indian agricultural sector is projected to reach a value of USD 24 billion by 2025. The Indian food and grocery market ranks as the world’s sixth largest, with retail accounting for 70% of total sales. The First Advance Estimates for FY23 (Kharif only) indicate a total foodgrain production of 149.92 million tons in the country. The industry’s growth is primarily fueled by the rapid population expansion in India. However, high maintenance & affordability costs and a lack of technical skills & training may hamper the growth of the market during the forecasted period of 2023-2030.

The key regions considered for the Global Agricultural Machinery Manufacturing Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominates the agriculture machinery manufacturing market due to its robust agricultural sector, rapid economic growth, and increasing population. The region’s large agricultural economies, such as China and India, drive the demand for advanced machinery. Favorable government policies, rapid urbanization, and technological advancements further contribute to its dominance. With a growing population and the need for efficient farming practices, Asia Pacific is the fastest growing region in the agriculture machinery manufacturing market. The region benefits from government support, urbanization-driven demand, and technological expertise, making it a significant player in the global market.

Major market player included in this report are:
CNH Industrial N.V.
AGCO Corporation
J C Bamford Excavators Ltd.
Deere & Company
Escorts Kubota Limited
SDF S.p.A.
China National Machinery Industry Corporation
Mahindra & Mahindra Ltd.
KUBOTA Corporation
Lindsay Corporation

Recent Developments in the Market:
Ø In March 2022, SurePointAg Systems, a manufacturer of liquid fertilizer application and sprayed tendering systems, and irrigation injection equipment joined forces with John Deere through a joint venture. This partnership allows SurePointAg to leverage John Deere’s advanced technologies to improve productivity across its product range.
Ø In April 2021, A strategic partnership was established between New Holland Agriculture and the Agricultural Division of Alamo Group. Alamo Group, a renowned provider of implements and attachments that are fully compatible with New Holland’s compact and mid-range tractors lineup, joined forces with New Holland Agriculture in this collaboration.
Global Agricultural Machinery Manufacturing Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Automation, Business, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü 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 Type:
Agriculture Spraying Equipment
Hay and Forage Machines
Soil Preparation and Cultivation
Irrigation and Crop Processing

By Automation:

By Business:
Original Equipment Manufacturers (OEMs)

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Agriculture Machinery Manufacturing Market, by Region, 2020-2030 (USD Billion)
1.2.2. Agriculture Machinery Manufacturing Market, by Type, 2020-2030 (USD Billion)
1.2.3. Agriculture Machinery Manufacturing Market, by Automation, 2020-2030 (USD Billion)
1.2.4. Agriculture Machinery Manufacturing Market, by Business, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Agriculture Machinery Manufacturing Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Agriculture Machinery Manufacturing Market Dynamics
3.1. Agriculture Machinery Manufacturing Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing Demand for Food Growing Agriculture Industry
3.1.2. Market Challenges High Maintenance & Affordability Cost Lack of Technical Skills & Training
3.1.3. Market Opportunities Adaptation of Smart Farming Solutions Government Support & Initiatives
Chapter 4. Global Agriculture Machinery Manufacturing 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. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Agriculture Machinery Manufacturing Market, by Type
5.1. Market Snapshot
5.2. Global Agriculture Machinery Manufacturing Market by Type, Performance – Potential Analysis
5.3. Global Agriculture Machinery Manufacturing Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Agriculture Machinery Manufacturing Market, Sub Segment Analysis
5.4.1. Agriculture Spraying Equipment
5.4.2. Hay and Forage Machines
5.4.3. Tractors
5.4.4. Harvesters
5.4.5. Soil Preparation and Cultivation
5.4.6. Irrigation and Crop Processing
5.4.7. Others
Chapter 6. Global Agriculture Machinery Manufacturing Market, by Automation
6.1. Market Snapshot
6.2. Global Agriculture Machinery Manufacturing Market by Automation, Performance – Potential Analysis
6.3. Global Agriculture Machinery Manufacturing Market Estimates & Forecasts by Automation 2020-2030 (USD Billion)
6.4. Agriculture Machinery Manufacturing Market, Sub Segment Analysis
6.4.1. Manual
6.4.2. Semi-Automatic
6.4.3. Automatic
Chapter 7. Global Agriculture Machinery Manufacturing Market, by Business
7.1. Market Snapshot
7.2. Global Agriculture Machinery Manufacturing Market by Business, Performance – Potential Analysis
7.3. Global Agriculture Machinery Manufacturing Market Estimates & Forecasts by Business 2020-2030 (USD Billion)
7.4. Agriculture Machinery Manufacturing Market, Sub Segment Analysis
7.4.1. Original Equipment Manufacturers (OEMs)
7.4.2. Aftersales
Chapter 8. Global Agriculture Machinery Manufacturing Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Agriculture Machinery Manufacturing Market, Regional Market Snapshot
8.4. North America Agriculture Machinery Manufacturing Market
8.4.1. U.S. Agriculture Machinery Manufacturing Market Type breakdown estimates & forecasts, 2020-2030 Automation breakdown estimates & forecasts, 2020-2030 Business breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Agriculture Machinery Manufacturing Market
8.5. Europe Agriculture Machinery Manufacturing Market Snapshot
8.5.1. U.K. Agriculture Machinery Manufacturing Market
8.5.2. Germany Agriculture Machinery Manufacturing Market
8.5.3. France Agriculture Machinery Manufacturing Market
8.5.4. Spain Agriculture Machinery Manufacturing Market
8.5.5. Italy Agriculture Machinery Manufacturing Market
8.5.6. Rest of Europe Agriculture Machinery Manufacturing Market
8.6. Asia-Pacific Agriculture Machinery Manufacturing Market Snapshot
8.6.1. China Agriculture Machinery Manufacturing Market
8.6.2. India Agriculture Machinery Manufacturing Market
8.6.3. Japan Agriculture Machinery Manufacturing Market
8.6.4. Australia Agriculture Machinery Manufacturing Market
8.6.5. South Korea Agriculture Machinery Manufacturing Market
8.6.6. Rest of Asia Pacific Agriculture Machinery Manufacturing Market
8.7. Latin America Agriculture Machinery Manufacturing Market Snapshot
8.7.1. Brazil Agriculture Machinery Manufacturing Market
8.7.2. Mexico Agriculture Machinery Manufacturing Market
8.8. Middle East & Africa Agriculture Machinery Manufacturing Market
8.8.1. Saudi Arabia Agriculture Machinery Manufacturing Market
8.8.2. South Africa Agriculture Machinery Manufacturing Market
8.8.3. Rest of Middle East & Africa Agriculture Machinery Manufacturing Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. CNH Industrial N.V. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. AGCO Corporation
9.3.3. J C Bamford Excavators Ltd.
9.3.4. Deere & Company
9.3.5. Escorts Kubota Limited
9.3.6. SDF S.p.A.
9.3.7. China National Machinery Industry Corporation
9.3.8. Mahindra & Mahindra Ltd.
9.3.9. KUBOTA Corporation
9.3.10. Lindsay Corporation
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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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