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Global Smart Agriculture Market valued at approximately USD 7 billion in 2017 is anticipated to grow with a healthy growth rate of more than 12.50% over the forecast period 2018-2025. The demand for smart technologies such as Big Data, cloud-based services, GPS, and the IoT is gaining pace in the agriculture industry. Driven by the rising need for high precision crop analysis, automated farming techniques, and collection of data from the field, the world is likely to witness the agriculture industry get smarter with the implementation of technologies in the coming years. Data thus derived from implementing smart technologies can help farmers yield high quality and larger quantity of crops. Besides rising population, which triggers demand for food, the global smart agriculture market is expected to gain from favorable government initiatives. However, the journey is likely to be more difficult in underdeveloped economy where the agriculture sector is reeling under lack of knowledge among farmers. The high cost of smart devices is making the matter worse. Nevertheless, in the coming years the market is likely to gain from the rising penetration of high-speed internet even in remote areas.
The regional analysis of Global Smart Agriculture Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. the dominance was with the smart agriculture market in North America, which held over 44.14% of the overall market in 2016. Extensive researches funded by governments across the region to minimize human involvement and boost crop yield has fueled the demand for smart agriculture technologies in North America. Europe emerged as the second-leading and is expected to continue exhibiting lucrative market opportunities. In the U.K. especially the market is forecast to witness accelerated pace of gains as the government make huge investments in the research and development of robust technologies. Besides this, rate of growth in Italy is predicted to remain high through the forecast period. During the same time, the Asia Pacific smart agriculture market is forecast to rise at an influential rate. Countries such as Japan, China, and Australia will strong agriculture sector are expected to emerge at the fore of the regional market. China held the leading share in the Asia Pacific smart agriculture market. However, in the forthcoming years Japan is expected to showcase more attractive opportunities for the market.
Major market player included in this report are:
Deere & Company
Trimble
Agco
Agjunction
Raven Industries
Delavai
AG Leader Technology.
Teejet Technology
Topcon Positioning System
Geosys
Dairy Master
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Hardware
Software
Services
By Agriculture Type:
Precision Monitoring
Livestock Monitoring
Smart Greenhouse
Fish Farm Monitoring
By Application:
Precision Farming Application
Livestock Monitoring Application
Fish Farming Application
Smart Green House Application
By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026
Target Audience of the Global Smart Agriculture Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
1.3.1. Smart Agriculture Market, by Offering, 2016-2026 (USD Billion)
1.3.2. Smart Agriculture Market, by Agriculture Type, 2016-2026 (USD Billion)
1.3.3. Smart Agriculture Market, by Application, 2016-2026 (USD Billion)
1.3.4. Smart Agriculture Market, by Region, 2016-2026 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Smart Agriculture Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Smart Agriculture Market Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Global Smart Agriculture Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Key Buying Criteria (On Demand)
4.4. Regulatory Framework (On Demand)
4.5. Investment Vs Adoption Scenario (On Demand)
4.6. Analyst Recommendation & Conclusion
Chapter 5. Global Smart Agriculture Market, By Offering
5.1. Market Snapshot
5.1. Market Performance – Potential Model
5.2. Global Smart Agriculture Market, Sub Segment Analysis
5.2.1. Hardware
5.2.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
5.2.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.2.2. Software
5.2.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
5.2.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.2.3. Services
5.2.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
5.2.3.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 6. Global Smart Agriculture Market, By Agriculture Type
6.1. Market Snapshot
6.2. Market Performance – Potential Model
6.3. Global Smart Agriculture Market, Sub Segment Analysis
6.3.1. Precision Farming
6.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.2. Livestock Monitoring
6.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.3. Smart Greenhouse
6.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.4. Fish Farm Monitoring
6.3.4.1. Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.4.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 7. Global Smart Agriculture Market, By Application
7.1. Market Snapshot
7.2. Market Performance – Potential Model
7.3. Global Smart Agriculture Market, Sub Segment Analysis
7.3.1. Precision Farming Application
7.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2. Livestock Monitoring Application
7.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3. Fish Farming Application
7.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.4. Smart Greenhouse Application
7.3.4.1. Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.4.2. Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 8. Global Smart Agriculture Market, by Regional Analysis
8.1. Smart Agriculture Market, Regional Market Snapshot (2016-2026)
8.2. North America Smart Agriculture Market Snapshot
8.2.1. U.S.
8.2.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.2.1.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.2.1.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.2.1.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.2.2. Canada
8.2.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.2.2.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.2.2.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.2.2.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3. Europe Smart Agriculture Market Snapshot
8.3.1. U.K.
8.3.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.1.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.2. Germany
8.3.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.2.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.3. Rest of Europe
8.3.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.3.3.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.3.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.3.3.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4. Asia-Pacific Smart Agriculture Market Snapshot
8.4.1. China
8.4.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.1.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.1.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.1.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.2. India
8.4.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.2.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.2.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.2.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.3. Japan
8.4.3.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.3.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.3.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.3.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.4. Rest of Asia Pacific
8.4.4.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.4.4.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.4.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.4.4.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5. Latin America Smart Agriculture Market Snapshot
8.5.1. Brazil
8.5.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.5.1.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5.1.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5.1.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5.2. Mexico
8.5.2.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.5.2.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5.2.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.5.2.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.6. Rest of The World
8.6.1. Middle East and Africa
8.6.1.1. Market estimates & forecasts, 2016-2026 (USD Billion)
8.6.1.2. Offering breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.6.1.3. Agriculture Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
8.6.1.4. Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
Chapter 9. Competitive Intelligence
9.1. Company Market Share (Subject to Data Availability)
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Deere & Company
9.3.1.1. Overview
9.3.1.2. Financial (Subject to Data Availability)
9.3.1.3. Product Summary
9.3.1.4. Recent Developments
9.3.2. Trimble
9.3.3. Agco
9.3.4. Agjunction
9.3.5. Raven Industries
9.3.6. Delavai
9.3.7. AG Leader Technology.
9.3.8. Teejet Technology
9.3.9. Topcon Positioning System
9.3.10. Geosys
9.3.11. Dairy Master
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.1.6. Research Assumption
The study of the market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geographies to provide a better regional outlook. In the report, country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macro-economic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. Our analysts contact company executives, managers, key opinion leaders, and industry experts. This enables our analyst to derive the closest possible figures without any major deviations in the actual number.
Primary Research Sources:
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