The global IoT in the smart farming market is expected to grow from USD 2,993.57 million 2017 to USD 6,437.46 million by the end of 2024 at a Compound Annual Growth Rate (CAGR) of 11.56%.
“Growing adoption of the Internet of Things in improving farming practices is one of the factors largely attributing to the growth of IoT in the smart farming market globally”
The factors attributing to the growth of the market are growing adoption of the internet of things in improving farming practices, IoT can help to increase crop yields and overall efficiency in the agritech industry, need to gain better control over the process of raising livestock and growing crops, and cost management and waste reduction. However, some factors such as analyzing tones of heterogeneous data collected by smart agriculture sensors, and infrastructural mobility limitations may hinder the market growth. The global IoT in the smart farming market is expected to showcase the opportunities such as increased business efficiency through farming process automation, and end-to-end farm management systems. In the near future, the market may face the possible challenges in the growth due to expensive maintenance of hardware, and privacy and security concerns. However, the key players in the market are putting regressive efforts to provide innovative offerings and benchmark strategies in the global IoT in smart farming market.
On the basis of component, the global IoT in the smart farming market is studied across Hardware, Services, and Software.
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On the basis of product, the global IoT in the smart farming market is studied across Climate Monitoring, Fish Farm Monitoring, Livestock Monitoring, Smart Greenhouse, Smart Irrigation, and Waste Technology.
On the basis of application, the global IoT in the smart farming market is studied across Crop Scouting, Farm Labor Management, Field Mapping, Financial Management, Inventory Management, Irrigation Management, Weather Tracking & Forecasting, and Yield Monitoring.
On the basis of deployment, the global IoT in the smart farming market is studied across On-Cloud and On-Premises.
On the basis of geography, the global IoT in smart farming market is studied across the Americas, (United States, Brazil, Canada, Mexico, and Argentina) Europe, Middle East & Africa, (United Kingdom, Germany, France, Saudi Arabia, United Arab Emirates, Italy, and Russia) and Asia-Pacific (China, Japan, India, and Australia).
“AGCO: The potential growing player for the global IoT in the smart farming market”
The key players profiled in the global IoT in the smart farming market are AGCO, AgJunction, Auroras, Cisco Systems, Inc., International Business MachinesCorporation, John Deere Company Inc., KaaIoT Technologies, Oracle Corporation, Precision Planting LLC., Pycno, Raven Industries, SemiosBio Technologies, Topcon Positioning Systems, Inc, Trimble Inc., and Virtus Nutrition, LLC..
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the global iot in smart farming market.
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the global IoT in smart farming market.
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the global iot in smart farming market.
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the global IoT in smart farming market.
5. Competitive Assessment & Intelligence: Provides exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the global IoT in smart farming market.
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Table of Contents
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
2. Research & Forecasting
2.1. Research Methodology
2.1.1. Research Instruments
22.214.171.124. Secondary Instrument
126.96.36.199. Primary Instrument
2.1.2. Research Approaches
188.8.131.52. Bottom-up Approach
184.108.40.206. Top-down Approach
2.1.3. Research Reliability & Validity
2.1.4. Research Assumptions
2.1.5. Vendor Inclusion Criteria
2.2. Forecasting Methodology
2.2.1. Methodology for Market Estimation & Forecasting
2.2.2. Significance and Importance of the Market Estimation & Forecasting
3. Executive Summary
4. Premium Insight
4.1. Market Connectivity
4.2. Market Data Feed
4.3. Market Vendor Ranking Analysis
4.4. Market Dynamics
220.127.116.11. Growing adoption of the Internet of Things in improving farming practices
18.104.22.168. IoT can help to increase crop yields and overall efficiency in the AgriTech industry
22.214.171.124. Need to gain better control over the process of raising livestock and growing crops
126.96.36.199. Cost management and waste reduction
188.8.131.52. Analyzing tones of heterogeneous data collected by smart agriculture sensors
184.108.40.206. Infrastructural mobility limitations
220.127.116.11. Increased business efficiency through farming process automation
18.104.22.168. End-to-end farm management systems
22.214.171.124. Expensive maintenance of hardware
126.96.36.199. Privacy and security concerns
4.5. Porter’s Five Forces Analysis
4.5.1. Threat of New Entrants
4.5.2. Threat of Substitutes
4.5.3. Bargaining Power of Customers
4.5.4. Bargaining Power of Suppliers
4.5.5. Industry Rivalry
4.6. Value Chain Analysis
4.7. Technological innovations
4.7.1. Integrated Food Value Chain
4.7.2. Predictive analytics in smart farming
4.7.3. Increasing smart farms in developing economies
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