Market Overview:
The global microarray in agriculture market is expected to grow at a CAGR of 10.8% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for food due to the growing population and rising income levels, and technological advancements in the field of agriculture. The market is segmented by type, application, and region. By type, the market is divided into oligonucleotide DNA microarrays (oDNA) and complementary DNA microarrays (cDNA). Oligonucleotide DNA microarrays are further classified into spotted arrays and gene expression arrays. Complementary DNA microarrays are used for gene expression profiling, SNP detection, ChIP-seq analysis, methylation studies etc., By application, potato accounts for the largest share of the global microarray in agriculture market followed by bovine meat & milk production; sheep meat & milk production; rice cultivation; fruits & vegetables; oilseeds & pulses; sugarcane & maize.
Product Definition:
A microarray is a flat, glass or plastic chip that has been coated with DNA probes. The probes are used to identify and compare the genes expressed in different types of cells or tissues. Microarrays can be used to find new genes, study how gene expression is regulated and diagnose diseases.
Oligonucleotide DNA Microarrays (oDNA):
oDNA is short for oligonucleotide DNA microarrays. It's a type of genetic probe that consists of an oligonucleotide, which is a long single-stranded DNA molecule. Oligonucleotides are used as biological probes to study gene expression in various types of cells and organisms by hybridization techniques. They are widely used in the fields such as molecular diagnostics, drug discovery & development, clinical research etc.
Complementary DNA Microarrays (cDNA):
cDNA microarrays (CDNA) are used for the detection of gene expression by using a technique called reverse transcription PCR. cDNA is synthesized from the DNA in the test tube and then inserted into an oligonucleotide probe that acts as a hybridization target. The process is repeated for many times to generate millions of copies of probe, which are then labeled with fluorescent dyes so that they can be detected easily.
Application Insights:
The market is segmented by application into potato, bovine, sheep, and rice. The potato segment held the largest share in 2016 owing to its wide usage as a food crop across the globe. Moreover, it has been proven that microarray analysis can be used to study genetic changes induced by pesticides in potatoes. This has led to an increased adoption of microarrays for research purposes in this sector over the past few years.
The bovine segment is expected to witness significant growth during the forecast period due largely to increasing R&D activities pertaining cattle breeding and improving animal health & nutrition through targeted nutritional supplements for animals¢â‚¬â„¢ genes found through microarray analysis are being studied at a larger scale which will eventually drive demand over next few years.
Microarrays have also been proved useful in studying diseases such as scrapie and BSE which led researchers from around world including U.S.
Regional Analysis:
Europe accounted for the largest revenue share in 2017. The presence of favorable government policies and funding programs are some of the key factors responsible for its dominance. For instance, in 2014, the European Commission announced Horizon 2020 Strategy with a focus on R&D investments to enhance productivity and sustainability of crops and livestock through genetic modification techniques such as microarray-based selections.
Asia Pacific is expected to be one of the fastest growing markets owing to increasing awareness about advanced technologies among farmers coupled with rising disposable income levels in developing countries such as China & India. Furthermore, increasing population along with rapid urbanization has resulted into an increase demand for food production which will drive regional market growth over the forecast period.
North America also held a significant revenue share due to high adoption rate regarding modern agriculture practices across U.
Growth Factors:
- Increasing demand for quality food products: There is an increasing demand for quality food products due to the growing population and changing dietary habits. This is driving the growth of the microarray in agriculture market.
- Advancements in technology: The advancements in technology are helping to improve the accuracy and efficiency of microarrays, thereby driving their adoption in agriculture.
- Growing awareness about precision farming: There is a growing awareness about precision farming, which is helping to drive the growth of the microarray in agriculture market.
- Rising investments by key players: Key players are investing heavily in research and development activities to develop new and innovative products, which is aiding the growth of this market.
Scope Of The Report
Report Attributes
Report Details
Report Title
Microarray in Agriculture Market Research Report
By Type
Oligonucleotide DNA Microarrays (oDNA), Complementary DNA Microarrays (cDNA)
By Application
Potato, Bovine, Sheep, Rice
By Companies
Illumnia, Affymetrix, Agilent
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
163
Number of Tables & Figures
115
Customization Available
Yes, the report can be customized as per your need.
Global Microarray in Agriculture Market Report Segments:
The global Microarray in Agriculture market is segmented on the basis of:
Types
Oligonucleotide DNA Microarrays (oDNA), Complementary DNA Microarrays (cDNA)
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Potato, Bovine, Sheep, Rice
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Illumnia
- Affymetrix
- Agilent
Highlights of The Microarray in Agriculture Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Oligonucleotide DNA Microarrays (oDNA)
- Complementary DNA Microarrays (cDNA)
- By Application:
- Potato
- Bovine
- Sheep
- Rice
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Microarray in Agriculture Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Microarray is a technology that allows scientists to study the expression of thousands of genes at once. This information can be used to identify patterns in gene activity and determine how different factors, such as weather conditions or plant varieties, affect plant growth. By understanding these relationships, scientists can develop new methods for improving crop production.
Some of the key players operating in the microarray in agriculture market are Illumnia, Affymetrix, Agilent.
The microarray in agriculture market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Microarray in Agriculture Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Microarray in Agriculture Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Microarray in Agriculture Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Microarray in Agriculture Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Microarray in Agriculture Market Size & Forecast, 2018-2028
4.5.1 Microarray in Agriculture Market Size and Y-o-Y Growth
4.5.2 Microarray in Agriculture Market Absolute $ Opportunity
Chapter 5 Global Microarray in Agriculture Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Microarray in Agriculture Market Size Forecast by Type
5.2.1 Oligonucleotide DNA Microarrays (oDNA)
5.2.2 Complementary DNA Microarrays (cDNA)
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Microarray in Agriculture Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Microarray in Agriculture Market Size Forecast by Applications
6.2.1 Potato
6.2.2 Bovine
6.2.3 Sheep
6.2.4 Rice
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Microarray in Agriculture Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Microarray in Agriculture Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Microarray in Agriculture Analysis and Forecast
9.1 Introduction
9.2 North America Microarray in Agriculture Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Microarray in Agriculture Market Size Forecast by Type
9.6.1 Oligonucleotide DNA Microarrays (oDNA)
9.6.2 Complementary DNA Microarrays (cDNA)
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Microarray in Agriculture Market Size Forecast by Applications
9.10.1 Potato
9.10.2 Bovine
9.10.3 Sheep
9.10.4 Rice
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Microarray in Agriculture Analysis and Forecast
10.1 Introduction
10.2 Europe Microarray in Agriculture Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Microarray in Agriculture Market Size Forecast by Type
10.6.1 Oligonucleotide DNA Microarrays (oDNA)
10.6.2 Complementary DNA Microarrays (cDNA)
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Microarray in Agriculture Market Size Forecast by Applications
10.10.1 Potato
10.10.2 Bovine
10.10.3 Sheep
10.10.4 Rice
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Microarray in Agriculture Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Microarray in Agriculture Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Microarray in Agriculture Market Size Forecast by Type
11.6.1 Oligonucleotide DNA Microarrays (oDNA)
11.6.2 Complementary DNA Microarrays (cDNA)
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Microarray in Agriculture Market Size Forecast by Applications
11.10.1 Potato
11.10.2 Bovine
11.10.3 Sheep
11.10.4 Rice
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Microarray in Agriculture Analysis and Forecast
12.1 Introduction
12.2 Latin America Microarray in Agriculture Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Microarray in Agriculture Market Size Forecast by Type
12.6.1 Oligonucleotide DNA Microarrays (oDNA)
12.6.2 Complementary DNA Microarrays (cDNA)
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Microarray in Agriculture Market Size Forecast by Applications
12.10.1 Potato
12.10.2 Bovine
12.10.3 Sheep
12.10.4 Rice
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Microarray in Agriculture Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Microarray in Agriculture Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Microarray in Agriculture Market Size Forecast by Type
13.6.1 Oligonucleotide DNA Microarrays (oDNA)
13.6.2 Complementary DNA Microarrays (cDNA)
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Microarray in Agriculture Market Size Forecast by Applications
13.10.1 Potato
13.10.2 Bovine
13.10.3 Sheep
13.10.4 Rice
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Microarray in Agriculture Market: Competitive Dashboard
14.2 Global Microarray in Agriculture Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Illumnia
14.3.2 Affymetrix
14.3.3 Agilent
