Connected Services and Big Data Analytics in the Global Farming Industry, Forecast to 2022

Integration of Big Data Analytics with Connected Farm Equipment Signifies the Next Frontier of Competition

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This study aims to research and analyse the development of Big Data Analytics and connected services in the farm equipment industry and to assess the value proposition of these connected services that address the expectations of farmers and transform their business practices. The farm equipment industry is witnessing another wave of industrial change through IT industry. The formation of smart connected products is creating new opportunities and new areas of business models. The farm equipment industry has evolved with new territory of connected services. New functionality, high reliability, and better product utilization are the evaluating parameters for these OEMs. The IoT wave has reshaped competitive factors and expanded industry boundary, from standard products to a system of smart connected products.

These products help integrate operations, and collect and transit real-time data from farm equipment to a farmer’s dashboard. OEMs are now competing not just at the product-feature level but on the level of offering wholly connected, integrated solutions by connecting their products across various systems and various functions.

Research Scope
Market trends are analysed for the study period 2016 to 2022, with 2016 being the base year. Technologies covered in the study are Precision Agriculture, Big Data, IoT, and autonomous systems. Farm equipment, including tractors, harvesters, and sprayers are covered under the product scope of the study. The incorporation of Big Data analytics in farming and precision agriculture, a growing trend, is the key focus area in this study. The precision agriculture ecosystem consists of tractor OEMs, seeds and fertilizer manufacturers, technology companies, and hardware and software companies.

Companies covered in the competitive landscape of this study include John Deere, KUBOTA, Accenture, IBM, Intel, Videophone, Tech Mahindra, Mahindra & Mahindra, Trimble, Cisco, AT&T, CNH Industrial, and others.

The geographic scope of the study is global, which includes: Europe (all 28 European countries), Russia, United States, Brazil, Mexico, Africa (Kenya, Nigeria, Algeria, South Africa, Tanzania, and Uganda), Asia-Pacific (India, China, Japan, Thailand, Indonesia, Vietnam, Cambodia, and Australia).

Key Questions This Study Will Answer
•     What are the adoption trends in Big Data solutions and services in the farming sector?
•     What are the upcoming technologies involved in the agriculture industries?
•     What are the major digital initiatives taken up by the OEMs in the technology front?
•     What are the drivers and restraints for digital telematics market in the farming sector?
•     What lies ahead for farm equipment manufacturers, Tier I suppliers, and IoT service providers in the Digital Farming landscape?

Table of Contents

Connected Services and Big Data Analytics in the Global Farming Industry, Forecast to 2022Executive SummaryExecutive Summary—Key FindingsExecutive Summary—Global ScenarioExecutive Summary—Market OutlookRecommendations to OEMsDigitization of Farm Management Supply ChainsResearch Objectives, Background, and MethodologyResearch ScopeResearch Aim and ObjectivesKey Questions this Study will AnswerResearch MethodologyDefinitionsBig Data Application in Farming Industry—Features and TrendsBig Data AnalyticsPrecision Agriculture—Input for Agriculture Big DataValue Chain of Big Data AnalyticsImpact of Big Data Analytics on Farm Equipment IndustryBig Data—Opportunity AnalysisIndustry Initiatives—Big Data and Predictive Analytics Agriculture Industry Value ChainTrends in Connected Services and Big Data ApplicationConnected Services and Big Data Application TrendsBig Data Landscape in Smart AgricultureSmart Farming Through Predictive AnalyticsEnabling Technologies for Big Data in Smart AgricultureData Collection and Transmission—Innovator ProfileData Storage and Analysis—Innovator ProfileAutomation Solutions—Innovator ProfileTechnologies—Future OutlookFocus Areas for the Development of Precision AgricultureEmerging Smart Agriculture EcosystemConnected Agriculture EcosystemConnected System in Smart FarmingOpportunities for IoT and Specialised Domain Big DataIoT Solutions in the Farm Management SegmentParticipants in Connected Agriculture EcosystemCase Study—Monsanto’s Digital FarmsCase Study—Mahindra and Mahindra’s New Business ModelBig Data Information Sharing to New Business ModelsImpact of New Business ModelsProfiles of Big Data Analytics Providing CompaniesFarmers Business Network (FBN)—Software and AnalyticsFarmLogs—Farm Management Software Orbital Insight—Geospatial Big Data AnalyticsConnected Tractors and Farm EquipmentEvolution of Tractors to Connected TractorsConnected Farm Equipment System Connected Tractors to Pave Way for Autonomous SystemsConnected Tractors Application Segment Connected Combines TrendsFarm Equipment TelematicsRising Proliferation of Telematics in Connecting MachinesFarm Equipment Telematics—Developments and Outlook Key Telematics Features by Equipment TypeRise of Farm Equipment TelematicsDrivers—Impact and DurationDrivers ExplainedRestraints—Impact and DurationDrivers ExplainedIndustry Initiatives—Telematics Solutions Telematics Service Providers in the Farm Industry Telematics—Case IHTelematics—John DeereTelematics—John Deere (continued) Telematics—New HollandTelematics—AGCOTelematics—CLAASGrowth Opportunities, Conclusions, and Future RoadmapFuture RoadmapConnected Services and Big Data Analytics—Global OpportunityStrategic Imperatives for Success and Growth Key ConclusionsLegal DisclaimerAppendixList of AcronymsThe Frost & Sullivan StoryThe Frost & Sullivan StoryValue Proposition—Future of Your Company & CareerGlobal PerspectiveIndustry Convergence360º Research PerspectiveImplementation ExcellenceOur Blue Ocean Strategy




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