세계의 스마트 농업 솔루션 시장 전망(-2030년) : 솔루션 유형별, 농업 유형별, 농장 규모별, 배치 모드별, 용도별, 최종 사용자별, 지역별 분석

According to Stratistics MRC, the Global Smart Agriculture Solution Market is accounted for $15.6 billion in 2024 and is expected to reach $26.1 billion by 2030 growing at a CAGR of 8.9% during the forecast period. Smart Agriculture Solutions integrate technology into traditional agricultural practices to enhance efficiency, productivity, and sustainability. These solutions encompass a range of technologies such as IoT sensors, drones, AI, and data analytics to monitor crops, soil conditions, livestock health, and weather patterns. By providing real-time insights and automated decision-making capabilities, smart agriculture optimizes resource allocation, reduces environmental impact, and improves crop yields. This transformative approach helps farmers make informed decisions and adapt to changing agricultural conditions more effectively.

Market Dynamics:

Driver:

Rising adoption of advanced technologies

The market is witnessing a surge in advanced technology adoption, driven by innovations such as IoT sensors for real-time data collection, AI algorithms for predictive analytics, and drone technology for precision farming. These technologies enable farmers to optimize resource usage, monitor crop health remotely, and automate tasks like irrigation and pest control. Integration of smart devices with cloud platforms enhances decision-making, fostering sustainable practices and improving agricultural productivity.

Restraint:

Data security concerns

Data security presents substantial industry issues as a result of the integration of IoT devices and cloud-based systems. Issues include vulnerabilities in sensor networks, potential data breaches compromising sensitive farm data (like crop yields and weather patterns), and the need for robust encryption protocols. Ensuring secure data transmission and storage is crucial to mitigate risks of unauthorized access and cyber-attacks, safeguarding farmers' operational insights and maintaining trust in advanced agricultural technologies.

Opportunity:

Growing demand for food

The increasing global population and rising food demand are driving innovations in the market. These technologies leverage IoT, AI, and data analytics to optimize farming processes, enhance productivity, and ensure sustainable practices. Key solutions include precision farming, smart irrigation systems, and crop monitoring tools, which enable farmers to make data-driven decisions, conserve resources, and increase yields. This sector's growth is crucial for meeting future food demands efficiently while mitigating environmental impact.

Threat:

Lack of technical expertise

The lack of technical knowledge among farmers and other players is a major problem in the market. Implementing advanced technologies requires specialized knowledge. This gap hinders the adoption of smart farming practices and efficient use of agricultural resources. Addressing this challenge involves providing comprehensive training programs and user-friendly solutions tailored to the needs of non-technical users, fostering a supportive ecosystem that enhances digital literacy in agriculture.

Covid-19 Impact:

The COVID-19 pandemic significantly accelerated the adoption of smart agriculture solutions, driven by the need for remote monitoring and management of farms amidst lockdowns and social distancing measures. Technologies like IoT sensors, AI-driven analytics, and precision agriculture tools became crucial for maintaining productivity and efficiency. The market saw increased investment in digital farming solutions as farmers sought resilient, technology-enabled approaches to ensure food security.

The livestock monitoring segment is expected to be the largest during the forecast period

The livestock monitoring is expected to be the largest during the forecast period. These systems track vital parameters like health status, location, and behavior in real-time. By leveraging data on feeding patterns and health indicators, farmers can optimize breeding cycles, detect illnesses early, and improve overall management efficiency. Such innovations not only ensure better animal care but also contribute to sustainable farming practices by minimizing resource wastage and maximizing yield.

The feeding management segment is expected to have the highest CAGR during the forecast period

The feeding management segment is expected to have the highest CAGR during the forecast period. AI algorithms analyze this data to recommend precise feeding schedules and dietary adjustments, enhancing animal health and productivity. Automated feeders and precision feeding techniques further ensure efficiency in resource utilization. This holistic approach not only improves farm profitability but also promotes sustainable practices by reducing waste and environmental impact.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. Farmers are leveraging big data analytics and AI to make informed decisions about planting, irrigation and pest management. There's a growing emphasis on sustainable farming practices, driven by smart technologies that reduce water usage, minimize environmental impact, and improve soil health. The market is witnessing growth due to increasing farm sizes, demand for higher productivity, and government initiatives supporting digital agriculture.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. Reduced chemical usage and soil health monitoring promote sustainable farming practices, aligning with global environmental goals. Improved connectivity and real-time data enable farmers to access markets more efficiently, facilitating better price negotiation and market integration. Rapid growth in agriculture, automation and smart irrigation systems optimize resource utilization and minimize environmental impact.

Key players in the market

Some of the key players in Smart Agriculture Solution market include Deere & Company, Trimble Inc., AGCO Corporation, AG Leader Technology, TeeJet Technologies, Topcon Positioning Systems, Inc., Hexagon Agriculture, Yara International ASA, CropX Technologies Ltd., Kubota Corporation, Prospera Technologies, Granular, Inc., TopFlight Technologies, Autonomous Tractor Corporation, PrecisionHawk Inc., Mavrx Inc. and Farmobile.

Key Developments:

In July 2023, Deere & Company announced the acquisition of Smart Apply, Inc. The company planned to leverage Smart Apply's precision spraying to assist growers in addressing the challenges associated with input costs, labor, regulatory requirements, and environmental goals.

In April 2023, AGCO Corporation announced a strategic collaboration with Hexagon, for the expansion of AGCO's factory-fit and aftermarket guidance offerings. The new guidance system was planned to be commercialized as Fuse Guide on Valtra and Massey Ferguson tractors.

Solution Types Covered:

• Hardware
• Software
• Service

Agriculture Types Covered:

• Precision Farming
• Livestock Monitoring
• Smart Greenhouses
• Fish Farming
• Other Agriculture Types

Farm Sizes Covered:

• Small Farms
• Medium Farms
• Large Farms

Deployment Modes Covered:

• On-Premises
• Cloud-Based

Applications Covered:

• Yield Monitoring
• Field Mapping
• Crop Scouting
• Feeding Management
• Heat Stress Management
• Climate Control
• Lighting Management
• Other Applications

End Users Covered:

• Farmers
• Agricultural Cooperatives
• Agribusinesses
• Academic & Research Institutes
• Other End Users

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 esearch Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Smart Agriculture Solution Market, By Solution Type

• 5.1 Introduction
• 5.2 Hardware
  • 5.2.1 Sensors
  • 5.2.2 Drones
  • 5.2.3 Robots
  • 5.2.4 GPS Systems
• 5.3 Software
  • 5.3.1 Farm Management Software
  • 5.3.2 Data Analytics Platforms
  • 5.3.3 Cloud-Based Solutions
  • 5.3.4 Predictive Analytics Tools
• 5.4 Service
  • 5.4.1 Consulting
  • 5.4.2 Managed Services
  • 5.4.3 Integration Services

6 Global Smart Agriculture Solution Market, By Agriculture Type

• 6.1 Introduction
• 6.2 Precision Farming
• 6.3 Livestock Monitoring
• 6.4 Smart Greenhouses
• 6.5 Fish Farming
• 6.6 Other Agriculture Types

7 Global Smart Agriculture Solution Market, By Farm Size

• 7.1 Introduction
• 7.2 Small Farms
• 7.3 Medium Farms
• 7.4 Large Farms

8 Global Smart Agriculture Solution Market, By Deployment Mode

• 8.1 Introduction
• 8.2 On-Premises
• 8.3 Cloud-Based

9 Global Smart Agriculture Solution Market, By Application

• 9.1 Introduction
• 9.2 Yield Monitoring
• 9.3 Field Mapping
• 9.4 Crop Scouting
• 9.5 Feeding Management
• 9.6 Heat Stress Management
• 9.7 Climate Control
• 9.8 Lighting Management
• 9.9 Other Applications

10 Global Smart Agriculture Solution Market, By End User

• 10.1 Introduction
• 10.2 Farmers
• 10.3 Agricultural Cooperatives
• 10.4 Agribusinesses
• 10.5 Academic & Research Institutes
• 10.6 Other End Users

11 Global Smart Agriculture Solution Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 Deere & Company
• 13.2 Trimble Inc.
• 13.3 AGCO Corporation
• 13.4 AG Leader Technology
• 13.5 TeeJet Technologies
• 13.6 Topcon Positioning Systems, Inc.
• 13.7 Hexagon Agriculture
• 13.8 Yara International ASA
• 13.9 CropX Technologies Ltd.
• 13.10 Kubota Corporation
• 13.11 Prospera Technologies
• 13.12 Granular, Inc.
• 13.13 TopFlight Technologies
• 13.14 Autonomous Tractor Corporation
• 13.15 PrecisionHawk Inc.
• 13.16 Mavrx Inc.
• 13.17 Farmobile