IoT in Agriculture Competitive Analysis 2020 | Cisco Systems, Inc., International Business Management Corporation (IBM)

Internet of things (IoT) technology is anticipated to play a significant role in increasing the current agricultural productivity to cater to the growing demand for food. IoT in agriculture industry incorporates IoT-based advanced technological tools, systems, equipment, and solutions to enhance the operational efficiency, maximize yield, and minimize wastage of energy through real-time field data collection, data storage, data analysis, and development of control platform. Diverse IoT-based applications such as precision farming, livestock monitoring, smart greenhouse, and fish farm monitoring, are expected to be instrumental in increasing the speed of the agriculture processes. IoT technology can address agriculture-based issues and optimize the quantity and quality of agriculture production, by connecting farms through a single platform and making them more intelligent by sharing, storing, and analyzing the information.

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Factors such as rise in global population and increase in demand for foodCisco Systems, Inc., International Business Management Corporation (IBM) across the globe have fueled the adoption of new technology to optimize the agriculture production, are expected to boost the growth of the IoT in agriculture market. In addition, climate change plays a significant role in impacting the global agriculture production. Thus, severe weather condition supports the deployment of IoT-based technology to optimize agriculture production. However, the agriculture industry comprises of numerous small players that provide solutions for various stages of the agriculture value chain. As a few of the agricultural processes achieve economic feasibility, growth of the market is expected to be hampered during the forecast period.

The key players profiled in this report include:
Cisco Systems, Inc., International Business Management Corporation (IBM), Telit, Hitachi, Ltd, Decisive Farming, Trimble Inc., OnFarm Systems Inc., Farmers Edge Inc., SlantRange, Inc., and The Climate Corporation.

This report segments the global IoT in Agriculture into:

By System
a) Automation and control systems
b) Sensing and monitoring devices
c) Livestock monitoring Hardware
d) Fish farming hardware
e) Smart greenhouse hardware
f) Software

By Application
a) Precision farming
b) Livestock monitoring
c) Smart greenhouse
d) Fish farm monitoring

IoT in Agriculture: Regional Analysis:

o North America : USA, Canada and Mexico etc.
o Asia-Pacific: China, Japan, Korea, India, and Southeast Asia
o The Middle East and Africa : Saudi Arabia, the UAE, Egypt, Turkey, Nigeria, and South Africa
o Europe : Germany, France, the UK, Russia, and Italy
o South America : Brazil, Argentina, Columbia, etc.

Key Benefits:

1. This study gives a detailed analysis of drivers and factors limiting the market expansion of Artificial Intelligence (AI) Cars and Light Trucks
2. The micro-level analysis is conducted based on its product types, end-user applications, and geographies
3. Porter's five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players
4. By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this IoT in Agriculture

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The research study can answer the following Key questions:

1. What will be the progress rate of the IoT in Agriculture for the conjecture period, 2020 - 2025?
2. What are the prominent factors driving the IoT in Agriculture across different regions?
3. Who are the major vendors dominating the Artificial Intelligence (AI) Cars and Light Trucks industry and what are their winning strategies?
4. What will be the market scope for the estimated period?
5. What are the major trends shaping the expansion of the industry in the coming years?
6. What are the challenges faced by the IoT in Agriculture?

Global IoT in Agriculture Report includes Detailed TOC points:

1 Industry Overview
1.1 Artificial Intelligence (AI) Cars and Light Trucks Industry
1.2 Market Segment
1.2.1 UpstreamIoT in Agriculture
Table Upstream Segment of Artificial Intelligence (AI) Cars and Light Trucks
1.2.2 Downstream
Table Application Segment of Artificial Intelligence (AI) Cars and Light Trucks
Table Global IoT in Agriculture 2020-2025, by Application, in USD Million
1.3 Cost Analysis

2 Industry Environment (PEST Analysis)
2.1 Policy
2.2 Economics
2.3 Sociology
2.4 Technology

3 IoT in Agriculture by Type
4 Major Companies List IoT in Agriculture
4.1 Company 1st (Company Profile, Sales Data etc.)
4.1.1 Company 1st Profile
Table Company 1st Overview List
4.1.2 Company 1st Products & Services
4.1.3 Company 1st Business Operation Conditions
Table Business Operation of Company 1st (Sales Revenue, Sales Volume, Price, Cost, Gross Margin)
(Continue With Key Players)

5 Market Competition
6 Demand by End Market
6.1 Demand Situation
6.2 Regional Demand Comparison
6.3 Demand Forecast

7 Region Operation
8 Marketing & Price
9 Research Conclusion

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