Industry Insights
The global Agriculture IOT market was valued at USD 15.2 billion in 2018. Rise in global population thus resulting in increase of demand for food crops, decreasing arable lands, intermittent rains and adoption of novel agricultural techniques for farming is boosting the global market demand for IOT. High initial investment, need for sophisticated infrastructure and limitations on customization are some of the factors that are restraining market growth.
The global Agriculture IOT market is segmented on the basis of Type and Application. The global Agriculture IOT market is segmented based on Type as Automation and Control Systems, Sensing and Monitoring Devices, livestock Monitoring Hardware, Fish Farming Hardware, Smart Greenhouse Hardware, and Software. Based on Application the global Agriculture IOT market is segregated as Precision farming, Llivestock Monitoring, Smart Greenhouse, Fish Farm Monitoring, and Others.
The regional outlook on the global Agriculture IOT market covers regions, such as North America, Europe, Asia-Pacific, and Rest of the World. The Agriculture IOT market for each region is further bifurcated for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.
Competitive Landscape
Companies are trying to develop customized softwares such as precision farming that have a wide applicability. They are trying to target emerging countries such as India to increase their revenues. The global Agriculture IOT market is highly competitive in nature with major players including Qualcomm, Bosch, Fujitsu, Ericsson, Monsanto, SABIC, Neste, Braskem, Sinopec Group, DowDuPont, and others. The report covers competitive analysis on the key market share holders. The companies are focused on several expansion and growth strategies to enhance their footprint in the Agriculture IOT market. Market players are also involved in value chain integration gain competitive advantage.
Report Scope:
The Agriculture IOT market report scope covers the in-depth business analysis considering major market dynamics, forecast parameters, and price trends for the industry growth. The report forecasts market sizing at global, regional and country levels, providing comprehensive outlook of industry trends in each market segments and sub-segments from 2017 to 2024. The market segmentations include,
Agriculture IOT Market, By Type
• Automation and Control Systems
• Sensing and Monitoring Devices
• livestock Monitoring Hardware
• Fish Farming Hardware
• Smart Greenhouse Hardware
• Software
Agriculture IOT Market, By Application
• Precision farming
• Llivestock Monitoring
• Smart Greenhouse
• Fish Farm Monitoring
• Others
Agriculture IOT Market, By Region
• North America
• Europe
• Asia-Pacific
• Rest of the World
The report scope also includes competitive landscape covering the competitive analysis, strategy analysis and company profiles of the major market players. The companies profiled in the report include Qualcomm, Bosch, Fujitsu, Ericsson, Monsanto, SABIC, Neste, Braskem, Sinopec Group, DowDuPont, and others. Company profiles cover company overview, product landscape, financial overview, and strategy analysis.
Report Highlights
• Global Agriculture IOT market sizes from 2017 to 2024
• Market growth projections through 2024 and the resultant market forecast for 2024
• Impact of the market dynamics including market drivers, restraints and opportunities in the market size
• Key industry trends, product trends, and application trends
• Major driving/ leading segmentations, regions and countries in the global Agriculture IOT market
• Competitive analysis with comprehensive company profiles of the leading industry players
• In-depth analysis on growth and expansion strategies adopted by market players and their resulting effect on market growth and competition
Report Customizations
The customization research services cover the additional custom report features such as additional regional and country level analysis as per the client requirements.
Table of Contents
1. Introduction
1.1 Key Insights
1.2 Report Overview
1.3 Markets Covered
1.4 Stakeholders
2. Research Methodology
2.1 Research Scope
2.2 Market Research Process
2.3 Research Data Analysis
2.4.1 Secondary Research
2.4.2 Primary Research
2.4.3 Models for Estimation
2.5 Market Size Estimation
2.5.1 Bottom-Up Approach - Segmental Market Analysis
2.5.2 Top-Down Approach - Parent Market Analysis
3. Executive Summary
4. Market Overview
4.1 Introduction
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Challenges
4.2 Porter's Five Force Analysis
5. Agriculture IOT Market, By Type
5.1 Introduction
5.2 Automation and Control Systems
5.2.1 Market Overview
5.2.2 Market Size and Forecast
5.3 Sensing and Monitoring Devices
5.3.1 Market Overview
5.3.2 Market Size and Forecast
5.4 livestock Monitoring Hardware
5.4.1 Market Overview
5.4.2 Market Size and Forecast
5.5 Fish Farming Hardware
5.5.1 Market Overview
5.5.2 Market Size and Forecast
5.6 Smart Greenhouse Hardware
5.6.1 Market Overview
5.6.2 Market Size and Forecast
5.7 Software
5.7.1 Market Overview
5.7.2 Market Size and Forecast
6. Agriculture IOT Market, By Application
6.1 Introduction
6.2 Precision farming
6.2.1 Market Overview
6.2.2 Market Size and Forecast
6.3 Livestock Monitoring
6.3.1 Market Overview
6.3.2 Market Size and Forecast
6.4 Smart Greenhouse
6.4.1 Market Overview
6.4.2 Market Size and Forecast
6.5 Fish Farm Monitoring
6.5.1 Market Overview
6.5.2 Market Size and Forecast
6.6 Others
6.6.1 Market Overview
6.6.2 Market Size and Forecast
7. Agriculture IOT Market, By Geography
7.1 Introduction
7.2 North America
7.2.1 North America Agriculture IOT, By Type
7.2.2 North America Agriculture IOT, By Application
7.3 Europe
7.3.1 Europe Agriculture IOT, By Type
7.3.2 Europe Agriculture IOT, By Application
7.4 Asia-Pacific
7.4.1 Asia-Pacific Agriculture IOT, By Type
7.4.2 Asia-Pacific Agriculture IOT, By Application
7.5 Rest of the World
7.5.1 Rest of the World Agriculture IOT, By Type
7.5.2 Rest of the World Agriculture IOT, By Application
8. Competitive Insights
8.1 Key Insights
8.2 Company Market Share Analysis
8.3 Strategic Outlook
8.3.1 Mergers & Acquisitions
8.3.2 New Product Development
8.3.3 Portfolio/Production Capacity Expansions
8.3.4 Joint Ventures, Collaborations, Partnerships & Agreements
8.3.5 Others
9. Company Profiles
9.1 Qualcomm
9.1.1 Company Overview
9.1.2 Product/Service Landscape
9.1.3 Financial Overview
9.1.4 Recent Developments
9.2 Bosch
9.2.1 Company Overview
9.2.2 Product/Service Landscape
9.2.3 Financial Overview
9.2.4 Recent Developments
9.3 Fujitsu
9.3.1 Company Overview
9.3.2 Product/Service Landscape
9.3.3 Financial Overview
9.3.4 Recent Developments
9.4 Ericsson
9.4.1 Company Overview
9.4.2 Product/Service Landscape
9.4.3 Financial Overview
9.4.4 Recent Developments
9.5 Monsanto
9.5.1 Company Overview
9.5.2 Product/Service Landscape
9.5.3 Financial Overview
9.5.4 Recent Developments
9.6 SABIC
9.6.1 Company Overview
9.6.2 Product/Service Landscape
9.6.3 Financial Overview
9.6.4 Recent Developments
9.7 Neste
9.7.1 Company Overview
9.7.2 Product/Service Landscape
9.7.3 Financial Overview
9.7.4 Recent Developments
9.8 Braskem
9.8.1 Company Overview
9.8.2 Product/Service Landscape
9.8.3 Financial Overview
9.8.4 Recent Developments
9.9 Sinopec Group
9.9.1 Company Overview
9.9.2 Product/Service Landscape
9.9.3 Financial Overview
9.9.4 Recent Developments
9.10 DowDuPont
9.10.1 Company Overview
9.10.2 Product/Service Landscape
9.10.3 Financial Overview
9.10.4 Recent Developments
SDMR employs a three way data triangulation approach to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach
Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.
Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity
Pricing Scenario
Cost Margin Analysis
Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price
Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size. Insert Image