A DNA Microarray consists of a predetermined assortment of nucleic acid probes attached to a surface. To assess gene expression, researchers derive complementary DNA (cDNA) from cellular RNA, label the cDNA with a fluorescent marker, wash labeled cDNA over the array, and use lasers to assess how much cDNA has stuck to each probe.
The Global DNA-Microarray for Agriculture market is estimated to reach xxx Million USD in 2017. In the report, HeyReport says Bovine dominates the largest Application share in 2017. The objective of report is to define, segment, and project the market on the basis of method, application, and region, and to describe the content about the factors influencing market dynamics, policy, economic, technology and market entry etc.
Based on products type, the report describes major products type share of regional market. Products mentioned as follows:
By Method
Oligonucleotide DNA Microarrays (oDNA)
Complementary DNA Microarrays (cDNA)
Based on region, the report describes major regions market by products and application. Regions mentioned as follows:
Asia-Pacific
North America
Europe
South America
Middle East & Africa
Based on Application, the report describes major Application share of regional market. Application mentioned as follows:
Bovine
Potato
Sheep
Rice
Leading vendors in the market are included based on profile, business performance etc. Vendors mentioned as follows:
Illumnia
Affymetrix
Agilent
1 Market Overview
1.1 Objectives of Research
1.1.1 Definition
1.1.2 Specifications
1.2 Market Segment
1.2.1 by Method
1.2.1.1 Oligonucleotide DNA Microarrays (oDNA)
1.2.1.2 Complementary DNA Microarrays (cDNA)
1.2.2 by Application
1.2.2.1 Bovine
1.2.2.2 Potato
1.2.2.3 Sheep
1.2.2.4 Rice
1.2.3 by Regions
2 Industry Chain
2.1 Industry Chain Structure
2.2 Upstream
2.3 Market
2.3.1 SWOT
2.3.2 Dynamics
3 Environmental Analysis
3.1 Policy
3.2 Economic
3.3 Technology
3.4 Market Entry
4 Market Segmentation by Method
4.1 Market Size
4.1.1 Global Oligonucleotide DNA Microarrays (oDNA) Market, 2011-2016
4.1.2 Global Complementary DNA Microarrays (cDNA) Market, 2011-2016
4.2 Market Forecast
4.2.1 Global Oligonucleotide DNA Microarrays (oDNA) Market Forecast, 2017-2022
4.2.2 Global Complementary DNA Microarrays (cDNA) Market Forecast, 2017-2022
5 Market Segmentation by Application
5.1 Market Size
5.1.1 DNA-Microarray for Agriculture in Bovine Market, 2011-2016
5.1.2 DNA-Microarray for Agriculture in Potato Market, 2011-2016
5.1.3 DNA-Microarray for Agriculture in Sheep Market, 2011-2016
5.1.4 DNA-Microarray for Agriculture in Rice Market, 2011-2016
5.2 Market Forecast
5.2.1 DNA-Microarray for Agriculture in Bovine Market Forecast, 2017-2022
5.2.2 DNA-Microarray for Agriculture in Potato Market Forecast, 2017-2022
5.2.3 DNA-Microarray for Agriculture in Sheep Market Forecast, 2017-2022
5.2.4 DNA-Microarray for Agriculture in Rice Market Forecast, 2017-2022
6 Market Segmentation by Region
6.1 Market Size
6.1.1 Asia-Pacific
6.1.1.1 Asia-Pacific DNA-Microarray for Agriculture Market, 2011-2016
6.1.1.2 Asia-Pacific DNA-Microarray for Agriculture Market by Method
6.1.1.3 Asia-Pacific DNA-Microarray for Agriculture Market by Application
6.1.2 North America
6.1.2.1 North America DNA-Microarray for Agriculture Market, 2011-2016
6.1.2.2 North America DNA-Microarray for Agriculture Market by Method
6.1.2.3 North America DNA-Microarray for Agriculture Market by Application
6.1.3 Europe
6.1.3.1 Europe DNA-Microarray for Agriculture Market, 2011-2016
6.1.3.2 Europe DNA-Microarray for Agriculture Market by Method
6.1.3.3 Europe DNA-Microarray for Agriculture Market by Application
6.1.4 South America
6.1.8.1 South America DNA-Microarray for Agriculture Market, 2011-2016
6.1.8.2 South America DNA-Microarray for Agriculture Market by Method
6.1.8.3 South America DNA-Microarray for Agriculture Market by Application
6.1.5 Middle East & Africa
6.1.5.1 Middle East & Africa DNA-Microarray for Agriculture Market, 2011-2016
6.1.5.2 Middle East & Africa DNA-Microarray for Agriculture Market by Method
6.1.5.3 Middle East & Africa DNA-Microarray for Agriculture Market by Application
6.2 Market Forecast
6.2.1 Asia-Pacific Market Forecast, 2017-2022
6.2.2 North America Market Forecast, 2017-2022
6.2.3 Europe Market Forecast, 2017-2022
6.2.4 South America Market Forecast, 2017-2022
6.2.5 Middle East & Africa Market Forecast, 2017-2022
7 Market Competitive
7.1 Global DNA-Microarray for Agriculture Market by Vendors
7.2 Market Concentration
7.3 Price & Factors
7.4 Marketing Channel
8 Major Vendors
8.1 Illumnia
8.1.1 Profile
8.1.2 Business Performance
8.2 Affymetrix
8.2.1 Profile
8.2.2 Business Performance
8.3 Agilent
8.3.1 Profile
8.3.2 Business Performance
9 Conclusion
Research Methodology
SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
MARKET ENGINEERING
The market engineering phase involves analysing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.