The study is designed to give a comprehensive overview of the Agricultural Tractor Robots market segment. Research represents a selection from the mountains of data available of the most relevant and cogent market materials, with selections made by the most senior analysts. Commentary on every aspect of the market from independent analysts creates an independent perspective in the evaluation of the market. In this manner the study presents a comprehensive overview of what is going on in this market, assisting managers with designing market strategies likely to succeed.

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CHECK OUT THESE KEY TOPICS

Agricultural Tractor Robots: Lowering the Total Cost of Farming, Increasing Agricultural Yields, a Technology, Sensor and Camera Based Revolution

Agricultural Tractor Robots Agriculture Internet of Things Digital farming Self-driving tractors

Robotic Tractor Advanced Sensors and Guidance Systems Agriculture industry

Harvest Automation

Self-driving tractors

Tractor Robots: Technology Evolves To Provide Better Management of Agriculture in the Era of Precision Farming

Worldwide markets are poised to achieve continuing growth as Agricultural Tractor Robots proves its value by managing digital farming and implementing self-driving capabilities and features in real time provide farming management.

The agriculture industry is a $5 trillion industry representing 10% of global consumer spending, 40 percent of employment and 30 percent of greenhouse gas emissions globally. Robotic tractors are positioned to help agriculture to be more precise, more efficient, and more productive. Use of much small tractors will help the soil base, creating less impact on compaction. Agricultural efficiency improvement is impactful to humanity, changing the size of population, quality of life and making a better future.

Agricultural self-driving features for tractors are the beginning of a full rollout of robot technologies. Self-driving features in place depend on having a human control the tractors initially. This is a first step in building fully autonomous tractors. One of the main objections to completely trusting self-driving tractors seems to be the fear of potential accidents. When the vehicles are running unattended there are often obstacles encountered that may cause problems, raising the specter of ruining the tractor.

A $185 million market worldwide in 2017, the Agricultural Tractor Robots market is expected to reach $3.2 billion by 2024.

Companies Profiled
John Deere
AGCO (Fendt)
CNH Global (Case IH)
Autonomous Tractor Corporation

Report Methodology

This is the 798th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are priorities in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. Forecasts are based on primary research and proprietary data bases.

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The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and industry leaders in the market segment. We establish accurate market forecasts based on economic and market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify data. Use in-house analysts who meet stringent quality standards.

Interviewing key industry participants, experts and end-users is a central part of the study. Our research includes access to large proprietary databases. Literature search includes analysis of trade publications, government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with information gathered through an extensive review of internet and printed sources such as trade publications, trade associations, company literature, and online databases. The projections contained in this report are checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2017. Several years prior to that baseline serve as a guide for making forecasts, market projections were developed for 2018 through 2024. These projections are based on a combination of a consensus among the opinion leader contacts interviewed combined with understanding of the key market drivers and their impact from a historical and analytical perspective.

The analytical methodologies used to generate the market estimates are based on penetration analyses, similar market analyses, and delta calculations to supplement independent and dependent variable analysis. All analyses are displaying selected descriptions of products and services.

This research includes reference to an ROI model that is part of a series that provides IT systems financial planners access to information that supports analysis of all the numbers that impact management of a product launch or large and complex data center. The methodology used in the models relates to having a sophisticated analytical technique for understanding the impact of workload on processor consumption and cost.

WinterGreen Research has looked at the metrics and independent research to develop assumptions that reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these values into models.

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The variables and assumptions provided in the market research study and the ROI models are based on extensive experience in providing research to large enterprise organizations and data centers. The ROI models have lists of servers from different manufacturers, Systems z models from IBM, and labor costs by category around the world. This information has been developed from WinterGreen research proprietary data bases constructed as a result of preparing market research studies that address the software, energy, healthcare, telecommunications, and hardware businesses.

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