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Smart Agriculture Market Size Forecast to Reach US$ 43.37 Billion by 2030

 The global smart agriculture market size is expected to reach around US$ 43.37 billion by 2030 from US$ 18.12 billion in 2021 and is expected to grow at an impressive double-digit rate of 10.2% from 2022 to 2030.

Smart Agriculture Market Size 2021 to 2030

The study includes drivers and restraints of this market. The study provides an analysis of the global smart agriculture market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.

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  • Updated Report Includes Major Market Players with their Sales Volume, Business Strategy and Revenue Analysis by using Precedence Research methodology.

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Report Scope of the Smart Agriculture Market

Report CoverageDetails
Market Size by 2030USD 43.37 Billion
Growth Rate from 2022 to 2030CAGR of 10.2%
Yield Monitoring Segment Market Share in 202144.1%
North America Makret Share in 202145%
Base Year2021
Forecast Period2022 to 2030

Report Highlights

  • On the basis of agriculture type, livestock monitoring segment holds the largest market share in the global smart agriculture market. Farmers can use livestock monitoring to monitor and track the health of their animals. It also aids in the maintenance of animal production data records. Technological advancements and rising demand for dairy products are also driving the expansion of the livestock monitoring segment.
  • On the basis of offering, software segment holds the largest market share in the global smart agriculture market. The segment’s expansion is being fueled by increasing technical advancements and the adoption of novel technologies. Cloud based and web-based software is deployed in smart agriculture devices. For farmers and cattle, this software aids in data collecting, tracking, and monitoring.
  • On the basis of application, precision farming application segment holds the largest market share in the global smart agriculture market. Precision farming aids in the monitoring of agricultural yields. It also uses precise technologies to track fields. The increased environmental concerns and water scarcity have led the segment’s growth.

Market Dynamics

Drivers

Growing research and development activities

The government of emerging and established regions is constantly working towards the growth of global smart agriculture market. The government of such regions is heavily investing in research and development activities for the development of smart agriculture market. In addition, market players are also doing research for launching new products in the market. As a result, growing research and development activities are driving the growth of global smart agriculture market during the forecast period.

Restraints

Lack of adequate resources and infrastructure

The infrastructural development in agriculture sector is very important. But in some of the developing and underdeveloped regions lack in such resources. Moreover, these regions do not have proper policies in terms of agriculture industry development. Not even government is working towards this concern. Thus, lack of adequate resources and infrastructure restricts the growth and development of global smart agriculture market.

Opportunities

Growing technological advancements

The advance technologies are used for efficient use of smart agriculture equipment and techniques. The technologies such as artificial intelligence, blockchain, internet of things, and data management software are used widely for the development of smart agriculture market. This is also helping farmers with increased yield and productivity. As a result, growing technological advancements are creating new opportunities for the growth of global smart agriculture market over the forecast period.

Challenges

Growing concerns regarding data management

The information and data obtained through smart agriculture software and tools is very confidential and crucial in nature. The data which is recorded using smart agriculture tools helps farmers with accurate decision making. Therefore, this data should be managed properly. But there are no strict regulations or guidelines regarding data management. Thus, growing concerns regarding data management is a major challenge for the growth of global smart agriculture market.

Research Methodology

A unique research methodology has been utilized to conduct comprehensive research on the growth of the global smart agriculture market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.

These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global smart agriculture market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.

Why should you invest in this report?

If you are aiming to enter the global smart agriculture market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for smart agriculture are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Some of the prominent players in the global smart agriculture market include:

  • AG Leader Technology
  • AGCO Corporation
  • AgJunction Inc.
  • Autonomous Solutions Inc.
  • Deers& Company
  • DroneDeploy
  • Farmers Edge Inc.
  • GEA Group Aktiengesellschaft
  • The Climate Corporation
  • DeLaval Inc.

Market Segmentation:

By Agriculture Type

  • Precision Farming
  • Livestock Monitoring
  • Precision Aquaculture
  • Precision Forestry
  • Smart Greenhouse
  • Others

By Offering

  • Hardware
    • HVAC system
    • LED grow lights
    • Valves & pumps
    • Sensors & control systems
    • Others
  • Sensing Devices
    • Soil sensor
    • Water sensors
    • Climate sensors
    • Others
  • Software
    • Web-based
    • Cloud-based
  • Services
    • Data services
    • Analytics services
    • Farm operation services
    • Supply chain management services
    • Climate information services
    • System integration & consulting
    • Maintenance & support
    • Managed services
    • Assisted professional services

By Farm Size

  • Small
  • Medium
  • Large

Regional Analysis:

The geographical analysis of the global smart agriculture market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.

The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global smart agriculture Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).

Key Questions Answered by the Report:

  • What will be the size of the global smart agriculture market in 2030?
  • What is the expected CAGR for the smart agriculture market between 2021 and 2030?
  • Which are the top players active in this global market?
  • What are the key drivers of this global market?
  • How will the market situation change in the coming years?
  • Which region held the highest market share in this global market?
  • What are the common business tactics adopted by players?
  • What is the growth outlook of the global smart agriculture market?

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Smart Agriculture Market 

5.1. COVID-19 Landscape: Smart Agriculture Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Smart Agriculture Market, By Agriculture

8.1. Smart Agriculture Market, by Agriculture Type, 2022-2030

8.1.1. Precision Farming

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Livestock Monitoring

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Precision Aquaculture

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Precision Forestry

8.1.4.1. Market Revenue and Forecast (2017-2030)

8.1.5. Smart Greenhouse

8.1.5.1. Market Revenue and Forecast (2017-2030)

8.1.6. Others

8.1.6.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Smart Agriculture Market, By Offering

9.1. Smart Agriculture Market, by Offering, 2022-2030

9.1.1. Hardware

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Sensing Devices

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Software

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Services

9.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Smart Agriculture Market, By Farm Size 

10.1. Smart Agriculture Market, by Farm Size, 2022-2030

10.1.1. Small

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Medium

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Large

10.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Smart Agriculture Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.1.2. Market Revenue and Forecast, by Offering (2017-2030)

11.1.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.1.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.1.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.1.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.1.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.2.2. Market Revenue and Forecast, by Offering (2017-2030)

11.2.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.2.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.2.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.2.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.2.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.2.6.2. Market Revenue and Forecast, by Offering (2017-2030)

11.2.6.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.2.7.2. Market Revenue and Forecast, by Offering (2017-2030)

11.2.7.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.3.2. Market Revenue and Forecast, by Offering (2017-2030)

11.3.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.3.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.3.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.3.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.3.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.3.6.2. Market Revenue and Forecast, by Offering (2017-2030)

11.3.6.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.3.7.2. Market Revenue and Forecast, by Offering (2017-2030)

11.3.7.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.4.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.4.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.4.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.4.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.4.6.2. Market Revenue and Forecast, by Offering (2017-2030)

11.4.6.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.4.7.2. Market Revenue and Forecast, by Offering (2017-2030)

11.4.7.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.5.4.2. Market Revenue and Forecast, by Offering (2017-2030)

11.5.4.3. Market Revenue and Forecast, by Farm Size (2017-2030)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Agriculture (2017-2030)

11.5.5.2. Market Revenue and Forecast, by Offering (2017-2030)

11.5.5.3. Market Revenue and Forecast, by Farm Size (2017-2030)

Chapter 12. Company Profiles

12.1. AG Leader Technology

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. AGCO Corporation

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. AgJunction Inc.

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Autonomous Solutions Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Deers& Company

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. DroneDeploy

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Farmers Edge Inc.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. GEA Group Aktiengesellschaft

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. The Climate Corporation

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. DeLaval Inc.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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