Machine Learning for Crop Yield Prediction Market Size Report - 2032

Machine Learning for Crop Yield Prediction Market - By Component (Software, Services) By Deployment Model (Cloud-based, On-premises), By Farm Size, By End User & Forecast, 2024 - 2032

Report Content

Chapter 1&nbsp;&nbsp;&nbsp;Methodology &amp; Scope

1.1&nbsp;&nbsp;&nbsp; Research design

1.1.1&nbsp;&nbsp;&nbsp; Research approach

1.1.2&nbsp;&nbsp;&nbsp; Data collection methods

1.2&nbsp;&nbsp;&nbsp; Base estimates &amp; calculations

1.2.1&nbsp;&nbsp;&nbsp; Base year calculation

1.2.2&nbsp;&nbsp;&nbsp; Key trends for market estimation

1.3&nbsp;&nbsp;&nbsp; Forecast model

1.4&nbsp;&nbsp;&nbsp; Primary research and validation

1.4.1&nbsp;&nbsp;&nbsp; Primary sources

1.4.2&nbsp;&nbsp;&nbsp; Data mining sources

1.5&nbsp;&nbsp;&nbsp; Market scope &amp; definition

Chapter 2&nbsp;&nbsp;&nbsp;Executive Summary

2.1&nbsp;&nbsp;&nbsp; Industry 3600 synopsis, 2021 - 2032

Chapter 3&nbsp;&nbsp;&nbsp;Industry Insights

3.1&nbsp;&nbsp;&nbsp; Industry ecosystem analysis

3.2&nbsp;&nbsp;&nbsp; Supplier landscape

3.2.1&nbsp;&nbsp;&nbsp; Software providers

3.2.2&nbsp;&nbsp;&nbsp; Hardware providers

3.2.3&nbsp;&nbsp;&nbsp; Service provider

3.2.4&nbsp;&nbsp;&nbsp; System integrators

3.2.5&nbsp;&nbsp;&nbsp; End-user

3.3&nbsp;&nbsp;&nbsp; Profit margin analysis

3.4&nbsp;&nbsp;&nbsp; Technology &amp; innovation landscape

3.5&nbsp;&nbsp;&nbsp; Patent analysis

3.6&nbsp;&nbsp;&nbsp; Key news &amp; initiatives

3.7&nbsp;&nbsp;&nbsp; Regulatory landscape

3.8&nbsp;&nbsp;&nbsp; Impact forces

3.8.1&nbsp;&nbsp;&nbsp; Growth drivers

3.8.1.1&nbsp;&nbsp;&nbsp; Growth in agritech startups

3.8.1.2&nbsp;&nbsp;&nbsp; High accuracy provided by machine learning models

3.8.1.3&nbsp;&nbsp;&nbsp; Integration of precision agriculture tools in the agriculture industry

3.8.1.4&nbsp;&nbsp;&nbsp; Rapid technological investments by prominent players

3.8.2&nbsp;&nbsp;&nbsp; Industry pitfalls &amp; challenges

3.8.2.1&nbsp;&nbsp;&nbsp; Data quality and availability challenges

3.8.2.2&nbsp;&nbsp;&nbsp; High computational requirements of ML models

3.9&nbsp;&nbsp;&nbsp; Growth potential analysis

3.10&nbsp;&nbsp;&nbsp; Porter&rsquo;s analysis

3.11&nbsp;&nbsp;&nbsp; PESTEL analysis

Chapter 4&nbsp;&nbsp;&nbsp;Competitive Landscape, 2023

4.1&nbsp;&nbsp;&nbsp; Introduction

4.2&nbsp;&nbsp;&nbsp; Company market share analysis

4.3&nbsp;&nbsp;&nbsp; Competitive positioning matrix

4.4&nbsp;&nbsp;&nbsp; Strategic outlook matrix

Chapter 5&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Component, 2021 - 2032 ($Bn)

5.1&nbsp;&nbsp;&nbsp; Key trends

5.2&nbsp;&nbsp;&nbsp; Software

5.2.1&nbsp;&nbsp;&nbsp; Predictive modelling software

5.2.2&nbsp;&nbsp;&nbsp; Data analytics platform

5.2.3&nbsp;&nbsp;&nbsp; Others

5.3&nbsp;&nbsp;&nbsp; Services

5.3.1&nbsp;&nbsp;&nbsp; Professional

5.3.2&nbsp;&nbsp;&nbsp; Managed

Chapter 6&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Deployment Model, 2021 - 2032 ($Bn)

6.1&nbsp;&nbsp;&nbsp; Key trends

6.2&nbsp;&nbsp;&nbsp; Cloud-based

6.3&nbsp;&nbsp;&nbsp; On-premises

Chapter 7&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Farm Size, 2021 - 2032 ($Bn)

7.1&nbsp;&nbsp;&nbsp; Key trends

7.2&nbsp;&nbsp;&nbsp; Small

7.3&nbsp;&nbsp;&nbsp; Medium

7.4&nbsp;&nbsp;&nbsp; Large

Chapter 8&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By End User, 2021 - 2032 ($Bn)

8.1&nbsp;&nbsp;&nbsp; Key trends

8.2&nbsp;&nbsp;&nbsp; Farmers

8.3&nbsp;&nbsp;&nbsp; Agricultural cooperatives

8.4&nbsp;&nbsp;&nbsp; Research institutions

8.5&nbsp;&nbsp;&nbsp; Government agencies

8.6&nbsp;&nbsp;&nbsp; Others

Chapter 9&nbsp;&nbsp;&nbsp;Market Estimates &amp; Forecast, By Region, 2021 - 2032 ($Bn)

9.1&nbsp;&nbsp;&nbsp; Key trends

9.2&nbsp;&nbsp;&nbsp; North America

9.2.1&nbsp;&nbsp;&nbsp; U.S.

9.2.2&nbsp;&nbsp;&nbsp; Canada

9.3&nbsp;&nbsp;&nbsp; Europe

9.3.1&nbsp;&nbsp;&nbsp; UK

9.3.2&nbsp;&nbsp;&nbsp; Germany

9.3.3&nbsp;&nbsp;&nbsp; France

9.3.4&nbsp;&nbsp;&nbsp; Italy

9.3.5&nbsp;&nbsp;&nbsp; Spain

9.3.6&nbsp;&nbsp;&nbsp; Russia

9.3.7&nbsp;&nbsp;&nbsp; Nordics

9.3.8&nbsp;&nbsp;&nbsp; Rest of Europe

9.4&nbsp;&nbsp;&nbsp; Asia Pacific

9.4.1&nbsp;&nbsp;&nbsp; China

9.4.2&nbsp;&nbsp;&nbsp; India

9.4.3&nbsp;&nbsp;&nbsp; Japan

9.4.4&nbsp;&nbsp;&nbsp; South Korea

9.4.5&nbsp;&nbsp;&nbsp; ANZ

9.4.6&nbsp;&nbsp;&nbsp; Southeast Asia

9.4.7&nbsp;&nbsp;&nbsp; Rest of Asia Pacific

9.5&nbsp;&nbsp;&nbsp; Latin America

9.5.1&nbsp;&nbsp;&nbsp; Brazil

9.5.2&nbsp;&nbsp;&nbsp; Mexico

9.5.3&nbsp;&nbsp;&nbsp; Argentina

9.5.4&nbsp;&nbsp;&nbsp; Rest of Latin America

9.6&nbsp;&nbsp;&nbsp; MEA

9.6.1&nbsp;&nbsp;&nbsp; South Africa

9.6.2&nbsp;&nbsp;&nbsp; Saudi Arabia

9.6.3&nbsp;&nbsp;&nbsp; UAE

9.6.4&nbsp;&nbsp;&nbsp; Rest of MEA

Chapter 10&nbsp;&nbsp;&nbsp;Company Profiles

10.1&nbsp;&nbsp;&nbsp; Ag Leader Technology

10.2&nbsp;&nbsp;&nbsp; Blue River Technology (John Deere)

10.3&nbsp;&nbsp;&nbsp; Ceres Imaging

10.4&nbsp;&nbsp;&nbsp; Corteva

10.5&nbsp;&nbsp;&nbsp; Cropin Technology Solutions Pvt. Ltd.

10.6&nbsp;&nbsp;&nbsp; Descartes Labs Inc.

10.7&nbsp;&nbsp;&nbsp; Farmers Edge Inc.

10.8&nbsp;&nbsp;&nbsp; FlyPard Analytics GmbH.

10.9&nbsp;&nbsp;&nbsp; Lindsay Corporation

10.10&nbsp;&nbsp;&nbsp; Microsoft Azure Farmbeats

10.11&nbsp;&nbsp;&nbsp; OneSoil

10.12&nbsp;&nbsp;&nbsp; Planet Labs PBC

10.13&nbsp;&nbsp;&nbsp; SAP

10.14&nbsp;&nbsp;&nbsp; Taranis

10.15&nbsp;&nbsp;&nbsp; Trimble, Inc. 
&nbsp;

Machine Learning for Crop Yield Prediction Market

Get a free sample of this report