Chapter 1. Big Data Analytics in Agriculture Market – Scope & Methodology

1.1. Market Segmentation

1.2. Assumptions

1.3. Research Methodology

1.4. Primary Sources

1.5. Secondary Sources

Chapter 2. Big Data Analytics in Agriculture Market – Executive Summary

2.1. Market Size & Forecast – (2023 – 2030) ($M/$Bn)

2.2. Key Trends & Insights

2.3. COVID-19 Impact Analysis

                2.3.1. Impact during 2023 - 2030

                2.3.2. Impact on Supply – Demand

Chapter 3. Big Data Analytics in Agriculture Market – Competition Scenario

3.1. Market Share Analysis

3.2. Product/Service Benchmarking

3.3. Competitive Strategy & Development Scenario

3.4. Competitive Pricing Analysis

Chapter 4. Big Data Analytics in Agriculture Market Entry Scenario

 4.1. Case Studies – Start-up/Thriving Companies

4.2. Regulatory Scenario - By Region

4.3 Customer Analysis

4.4. Porters Five Force Model

                4.4.1. Bargaining Power of Suppliers

                4.4.2. Bargaining Powers of Customers

                4.4.3. Threat of New Entrants

                4.4.4. Rivalry among Existing Players

                4.4.5. Threat of Substitutes

Chapter 5. Big Data Analytics in Agriculture Market - Landscape

5.1. Value Chain Analysis – Key Stakeholders Impact Analysis

5.2. Market Drivers

5.3. Market Restraints/Challenges

5.4. Market Opportunities

Chapter 6. Big Data Analytics in Agriculture Market – By Type of Analysis

6.1. Retrospective Analytics

6.2. Predictive Analytics

6.3. Prescriptive Analytics

Chapter 7. Big Data Analytics in Agriculture Market - By Solution

7.1. Hardware

7.2. Software

7.3. Services

7.3.1. Support Services

7.3.2. Business Services

Chapter 8. Big Data Analytics in Agriculture Market - By Application

8.1. Chemical Analytics

8.2. Weather Analytics

8.3. Financial Analytics

8.4. Administrative Analytics

8.5. Crop Production Analytics

8.6. Social Analytics

8.7. Farm Land/ Equipment Analytics

8.8. Others

Chapter 9. Big Data Analytics in Agriculture Market - By Operation on Data

9.1. Capturing Data

9.2. Storing Data

9.3. Sharing Data

9.4. Analyzing Data

9.5. Others

Chapter 10. Big Data Analytics in Agriculture Market - By End User Application

10.1. Farmers

10.2. Agriculture Regulatory Bodies

10.3. Weather Forecast

10.4. Agrochemical Industry

10.5. Farm Equipment Industry

10.6. Others

Chapter 11. Big Data Analytics in Agriculture Market, By Geography – Market Size, Forecast, Trends & Insights

   11.1. North America

                11.1.1. U.S.A

                11.1.2. Canada

                11.1.3. Mexico

   11.2. Europe

                11.2.1. Italy

                11.2.2. Spain

                11.2.3. Russia

                11.2.4. Germany

                11.2.5. UK

                11.2.6. France

                11.2.7. Rest of Europe

  11.3. Asia Pacific

               11.3.1. Japan

               11.3.2. South Korea

               11.3.3. China

               11.3.4. India

               11.3.5. Australia & New Zealand

               11.3.6. Rest of Asia-Pacific

  11.4. Rest of the World

               11.4.1. Middle East

               11.4.2. Africa

               11.4.3. South America

Chapter 12. Big Data Analytics in Agriculture Market – Company Profiles – (Overview, Product Portfolio, Financials, Developments)

 12.1. Company 1

 12.2. Company 2

  12.3. Company 3

  12.4. Company 4

  12.5. Company 5

   12.6. Company 6

   12.7. Company 7

  12.8. Company 8

   12.9. Company 9

   12.10. Company 10