Global Manure Spreaders Market 2017-2021

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: INTRODUCTION

• Market outline

PART 05: MARKET LANDSCAPE

• Market overview
• Market size and forecast
• Five forces analysis

PART 06: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL

• Segmentation by distribution channel
• Comparison by distribution channel
• Offline stores – market size & forecast
• Online stores – market size & forecast
• Market opportunity by distribution channel

PART 07: REGIONAL LANDSCAPE

• Geographical segmentation
• Regional comparison
• Americas – market size & forecast
• EMEA – market size & forecast
• APAC – market size & forecast
• Key leading countries
• Market opportunity

PART 08: DECISION FRAMEWORK

PART 09: DRIVERS AND CHALLENGES

• Market drivers
• Market challenges

PART 10: MARKET TRENDS

• Development of new manure spreaders
• Incorporation of precision-farming technologies
• Increased price of fuel
• Other prominent trends

PART 11: VENDOR LANDSCAPE

• Competitive scenario
• Key competitive strategies
• Competitive assessment of top three vendors
• Other prominent vendors

PART 12: VENDOR ANALYSIS

• AGCO
• CNH Industrial
• CLAAS
• Deere & Company

PART 13: APPENDIX

• List of abbreviations

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

INFORMATION SOURCES

Primary sources

• Manufacturers and suppliers
• Channel partners
• Industry experts
• Strategic decision makers

Secondary sources

• Industry journals and periodicals
• Government data
• Financial reports of key industry players
• Historical data
• Press releases

DATA ANALYSIS

Data Synthesis

• Collation of data
• Estimation of key figures
• Analysis of derived insights

Data Validation

• Triangulation with data models
• Reference against proprietary databases
• Corroboration with industry experts

REPORT WRITING