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Smart agriculture Market

Smart agriculture Market by Type (Precision Farming, Livestock, Aquaculture, and Greenhouse), By Component (Solution, Service, and Connectivity Technology) - Global Forecast till 2032


  • Industry: Agriculture
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  • SKU: 44
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  • Format: PDF
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  • No. of Pages: 350
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  • Published Date:
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Licence Type:  

Global smart agriculture market was valued at $ 18.6 billion in 2022 and is likely to reach $ 32.4 billion by 2032, registering a CAGR of 5.5% over the forecast period of 2023-2032.

Smart agriculture, also known as precision agriculture, integrates technology with traditional farming methods to optimize efficiency, sustainability, and productivity in crop and livestock management. It leverages a variety of technologies including IoT (Internet of Things), sensors, drones, AI (Artificial Intelligence), and data analytics to monitor and manage various aspects of agricultural processes. Through real-time data collection and analysis, smart agriculture enables farmers to make informed decisions regarding irrigation, fertilization, pest control, and harvesting. By maximizing resource utilization, minimizing waste, and reducing environmental impact, smart agriculture aims to enhance crop yields, improve profitability, and ensure food security for a growing global population.

Source: Secondary Research, Primary Research, MRP Database and Analyst Review

 

In a world of burgeoning population growth and shifting climate patterns, the imperative for food security has become an ever-pressing concern. As global demand surges, so too does the need for innovative solutions to bolster agricultural yields and ensure sustainable food production. This demand transcends mere sustenance; it embodies the essence of human well-being and societal stability. In response, forward-thinking entities are increasingly turning to technology-driven approaches, embracing the transformative potential of smart agriculture. Harnessing the power of data analytics, IoT, and precision farming techniques, they strive to fortify our food systems against the vagaries of nature and the uncertainties of tomorrow.

In the realm of fostering economic growth and societal prosperity, governments worldwide have recognized the pivotal role of agriculture. Through strategic interventions and supportive policies, they aim to cultivate a fertile landscape for agricultural innovation and advancement. From subsidies to grants, governments extend a helping hand, nurturing the seeds of progress within the agricultural sector. This symbiotic relationship between state and agriculture underscores a shared commitment to sustainable development and food security. Moreover, by incentivizing the adoption of cutting-edge technologies and eco-friendly practices, governments pave the way for a greener, more resilient future. It's a testament to collective action in nurturing our most fundamental resource: the land.

In the vast expanse of agricultural landscapes, the absence of robust infrastructure presents a formidable barrier to progress. Remote regions, often teeming with agricultural potential, languish in the shadows of limited connectivity and energy access. This deficiency stifles the deployment of cutting-edge smart agriculture technologies, relegating farmers to antiquated methods and missed opportunities. The heartbeat of rural economies, reliant on the pulse of innovation, falters in the face of inadequate infrastructure. It's a silent symphony of unrealized potential, where the promise of modernization remains tantalizingly out of reach. Overcoming this hurdle demands concerted efforts to bridge the gap and empower communities with the tools of tomorrow.

In the intricate tapestry of modern agriculture, the convergence of data analytics and AI illuminates pathways to unprecedented prosperity. Beyond the fields of green, lies a realm where insights gleaned from torrents of data converge with the boundless potential of artificial intelligence. This synergy births a new era of precision and foresight, where every seed sown and every crop harvested is guided by the wisdom of algorithms. It's a landscape ripe with promise, where efficiency flourishes, and yields reach new heights. The marriage of data and AI transcends mere innovation; it heralds a paradigm shift, unlocking the door to bountiful harvests and untold opportunities.

Smart agriculture Market Overview

Market Attributes

Details

Market Size in 2022

$ 18.6 billion

Market Size in 2032

$ 32.4 billion

Forecast Period

2023-2032

CAGR

5.5%

Market Dynamics

·        Drivers

o   Technological Advancements

o   Demand for Food Security

·        Restraints

o   Lack of Infrastructure

o   Complexity and Skill Requirements

·        Opportunities

o   Expansion of IoT and Connectivity

o   Sustainable Agriculture Practices

Segments Covered in the report

·        By Type

o   Precision Farming

o   Livestock

o   Aquaculture

o   Greenhouse

·        By Component

o   Solution

o   Service

o   Connectivity Technology

Regions Covered in the Report

·        North America

o   U.S.

o   Canada

o   Mexico

·        Latin America

o   Brazil

o   Argentina

o   Rest of Latin America

·        Europe

o   Germany

o   UK

o   France

o   Russia

o   Italy

o   Spain

o   Rest of Europe

·        Asia-Pacific

o   China

o   Japan

o   India

o   South Korea

o   Australia

o   Rest of Asia-Pacific

·        Middle East & Africa

o   Israel

o   UAE

o   Saudi Arabia

o   Iran

o   Rest of MEA

Companies

·        Deere & Company

·        Trimble Inc.

·        Ag Leader Technology

·        Raven Industries, Inc.

·        AGCO Corporation

·        TeeJet Technologies

·        CropX Technologies Ltd.

·        Topcon Positioning Systems, Inc.

·        Farmers Edge Inc.

·        PrecisionHawk Inc.

1: Introduction

1.1 Report Description

1.2 Overview of Smart Agriculture

1.3 Evolution and Advancements in Smart Agriculture

1.4 Market Segmentation and Scope

1.5 Research Methodology

2: Executive Summary

2.1 Key Findings

2.2 Market Trends and Insights

2.3 Key Market Players

2.4 Future Outlook

3: Market Dynamics

3.1 Market Drivers

3.2 Market Restraints

3.3 Market Opportunities

3.4 Porter's Five Forces Analysis

3.5 Value Chain Analysis

3.6 Impact of COVID-19 on the Smart Agriculture Market

4: Smart Agriculture Market, by Type

4.1 Overview

4.2 Precision Farming

4.2.1 Key Market Trends

4.2.2 Market Attractiveness Analysis

4.3 Livestock

4.3.1 Key Market Trends

4.3.2 Market Attractiveness Analysis

4.4 Aquaculture

4.4.1 Key Market Trends

4.4.2 Market Attractiveness Analysis

4.5 Greenhouse

4.5.1 Key Market Trends

4.5.2 Market Attractiveness Analysis

5: Smart Agriculture Market, by Component

5.1 Solution

5.1.1 Key Market Trends

5.1.2 Market Attractiveness Analysis

5.2 Service

5.2.1 Key Market Trends

5.2.2 Market Attractiveness Analysis

5.3 Connectivity Technology

5.3.1 Key Market Trends

5.3.2 Market Attractiveness Analysis

6: Regional Analysis

6.1 North America

6.1.1 U.S.

6.1.2 Canada

6.1.3 Mexico

6.2 Latin America

6.2.1 Brazil

6.2.2 Argentina

6.2.3 Rest of Latin America

6.3 Europe

6.3.1 Germany

6.3.2 UK

6.3.3 France

6.3.4 Russia

6.3.5 Italy

6.3.6 Spain

6.3.7 Rest of Europe

6.4 Asia-Pacific

6.4.1 China

6.4.2 Japan

6.4.3 India

6.4.4 South Korea

6.4.5 Australia

6.4.6 Rest of Asia-Pacific

6.5 Middle East & Africa

6.5.1 Israel

6.5.2 UAE

6.5.3 Saudi Arabia

6.5.4 Iran

6.5.5 Rest of MEA

7: Competitive Landscape

7.1 Deere & Company

7.1.1 Overview

7.1.2 Product Portfolio

7.1.3 Financial Performance

7.1.4 Recent Developments

7.2 Trimble Inc.

7.2.1 Overview

7.2.2 Product Portfolio

7.2.3 Financial Performance

7.2.4 Recent Developments

7.3 Ag Leader Technology

7.3.1 Overview

7.3.2 Product Portfolio

7.3.3 Financial Performance

7.3.4 Recent Developments

7.4 Raven Industries, Inc.

7.4.1 Overview

7.4.2 Product Portfolio

7.4.3 Financial Performance

7.4.4 Recent Developments

7.5 AGCO Corporation

7.5.1 Overview

7.5.2 Product Portfolio

7.5.3 Financial Performance

7.5.4 Recent Developments

7.6 TeeJet Technologies

7.6.1 Overview

7.6.2 Product Portfolio

7.6.3 Financial Performance

7.6.4 Recent Developments

7.7 CropX Technologies Ltd.

7.7.1 Overview

7.7.2 Product Portfolio

7.7.3 Financial Performance

7.7.4 Recent Developments

7.8 Topcon Positioning Systems, Inc.

7.8.1 Overview

7.8.2 Product Portfolio

7.8.3 Financial Performance

7.8.4 Recent Developments

7.9 Farmers Edge Inc.

7.9.1 Overview

7.9.2 Product Portfolio

7.9.3 Financial Performance

7.9.4 Recent Developments

7.10 PrecisionHawk Inc.

7.10.1 Overview

7.10.2 Product Portfolio

7.10.3 Financial Performance

7.10.4 Recent Developments

8: Investment Analysis

9: Market Opportunity and Trends

At MRP, we take pride in our robust and reliable research methodology, which forms the foundation of every report. Our systematic approach ensures the generation of valuable insights and actionable recommendations. Here's an overview of our research methodology:

1. Defining Research Objectives
2. Conduct Literature Review
3. Formulate Research Questions
4. Choose Appropriate Data Collection Methods
5. Sample Selection
6. Data Collection
7. Data Analysis
8. Prepare Actionable Recommendations
9. Peer Review and Quality Assurance
10. Report Presentation

If you would like to request complete methodology for the report, please fill up below form and we'll get back to you shortly.

FAQ

The Market Value of Smart agriculture in 2022 was $ 18.6 billion
The global smart agriculture market is studied from 2022-2032
The growth rate of global Smart agriculture Market in 5.5%
The major countries in smart agriculture market are U.S., Canada, Mexico, Brazil, Argentina, Rest of Latin America, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, Japan, India, South Korea, Australia, Rest of Asia-Pacific, Israel, UAE, Saudi Arabia, Iran, and Rest of MEA
The Market Value of Smart agriculture in 2032 will be $ 32.4 billion