Dna Microarray For Agriculture Market
DNA Microarray for Agriculture Market Forecasts to 2030 - Global Analysis By Microarray Type (cDNA Microarrays, Oligonucleotide Microarrays, SNP Microarrays and Other Microarray Types), Crop Type, Technology, Application, End User and By Geography
According to Stratistics MRC, the Global DNA Microarray for Agriculture Market is accounted for $3.7 billion in 2023 and is expected to reach $7.6 billion by 2030 growing at a CAGR of 10.7% during the forecast period. DNA microarrays have found valuable applications in agriculture, revolutionizing crop research, breeding, and management practices. In agriculture, these microarrays are utilized to analyze the expression of thousands of genes simultaneously, providing a comprehensive understanding of plant genomes. They enable researchers to study gene expression patterns in response to environmental factors, stress, and disease. In crop breeding, DNA microarrays facilitate marker-assisted selection by identifying genes associated with desirable traits, accelerating the development of improved varieties.
Market Dynamics:
Driver:
Need for efficient and sustainable food production
As a key technology in precision agriculture, DNA microarrays enable rapid and simultaneous analysis of plant genomes, aiding in the development of high-yielding and resilient crops. By facilitating marker-assisted selection, these tools accelerate breeding programs for improved crop traits. Additionally, they contribute to the identification of genes related to stress resistance and environmental adaptability. Thus the need for sustainable farming practices amplifies the market's significance, positioning DNA microarrays as crucial tools for advancing agricultural productivity and ensuring global food security.
Restraint:
High initial investment
The substantial costs associated with equipment, infrastructure, and skilled personnel deter smaller farms and resource-limited regions from embracing this advanced technology. This financial barrier restricts widespread accessibility and hampers the potential benefits of DNA microarrays in optimizing crop yields and ensuring food security. As a consequence, the market faces challenges in achieving broader adoption, limiting its impact on agricultural practices hampering the market growth.
Opportunity:
Continuous advancements in microarray technology
Enhanced precision, higher throughput and cost-effectiveness are driving adoption. These innovations enable comprehensive analysis of plant genomes, accelerating crop improvement through marker-assisted selection for desirable traits. The evolving technology facilitates rapid identification of genes associated with stress resistance, disease tolerance, and yield optimization. As a result, farmers and researchers benefit from improved crop varieties, efficient pest management, and sustainable agricultural practices.
Threat:
Complex data analysis
Complex datasets demand sophisticated computational resources and expertise, raising costs for implementation and maintenance. Small-scale agricultural enterprises may face barriers in adopting these technologies due to financial constraints and a lack of skilled personnel. Moreover, intricate data interpretation can lead to delays in decision-making, diminishing the agility required in farming. As a result, the adoption rate of DNA microarray technologies in agriculture may be hindered the market growth.
Covid-19 Impact
With restrictions on movement and lab closures, the deployment and adoption of DNA microarray technologies in agriculture faced challenges. However, the crisis has also underscored the importance of resilient and advanced agricultural technologies. As the industry adapts to the new normal, there is an increased focus on leveraging DNA microarrays for precision farming, crop improvement, and disease resistance, driving the market towards recovery and future growth in enhancing agricultural sustainability.
The cDNA microarrays segment is expected to be the largest during the forecast period
The cDNA microarrays segment is estimated to have a lucrative growth. cDNA microarrays have revolutionized the DNA microarray landscape in agriculture. Offering enhanced gene expression analysis, they enable precise profiling of plant responses to environmental factors, diseases, and stress. This technology facilitates the identification of key genetic markers for crop improvement, disease resistance, and yield optimization. As a result, the DNA Microarray for Agriculture Market has experienced a substantial boost, with increased demand for advanced tools driving innovation.
The hybridization segment is expected to have the highest CAGR during the forecast period
The hybridization segment is anticipated to witness the highest CAGR growth during the forecast period, as this technique enables the simultaneous analysis of thousands of genes, facilitating rapid identification of desirable traits in crops. The market benefits from enhanced crop breeding, disease resistance, and yield optimization. Moreover, hybridization in DNA microarrays expedites the development of genetically superior plants, meeting the increasing global demand for sustainable and high-yielding agriculture.
Region with largest share:
Asia Pacific is projected to hold the largest market share during the forecast period owing to the growing emphasis on sustainable agriculture and food security in the region. Key players are investing in research and development to enhance product offerings. Furthermore, Asia Pacific farmers have been early adopters of new technologies, including DNA microarrays, recognizing their potential to improve efficiency, yields, and profitability. contribute to the market's expansion.
Region with highest CAGR:
North America is projected to have the highest CAGR over the forecast period, due to its significant role in functional genomics by helping researchers understand the functions of various genes in plant systems. This information is fundamental for targeted crop improvement strategies. Additionally, governments in North America, particularly the United States and Canada, invest heavily in agricultural research and development, including genomics and related technologies like DNA microarrays. This funding fuels innovation and facilitates the adoption of new technologies in the agricultural sector.
Key players in the market
Some of the key players in the DNA Microarray for Agriculture Market include Eurofins Genomics, Affymetrix, Agilent Technologies , Illumina, Inc., Applied Microarrays, Arrayit Corporation, LCG Genomics, Inqaba Biotec, LC Sciences, Biometrix Technology Inc., Oxford Gene Technology (OGT), PerkinElmer, Inc., Greenea Biosciences, BioCat GmbH , Scienion AG and RayBiotech, Inc.
Key Developments:
In January 2024, Agilent Technologies Inc. announced an agreement with Incyte that will bring together Agilent’s expertise and proven track record in the development of companion diagnostics (CDx) to support the development and commercialization of Incyte’s hematology and oncology portfolio.
In January 2024, Illumina Inc announced it has signed an agreement with Janssen Research & Development, LLC (Janssen). This collaboration will be the first relating to the development of Illumina's novel molecular residual disease (MRD) assay, a whole-genome sequencing (WGS) multi-cancer research solution
In September 2022, Eurofins Genomics has partnered with Concentric by Ginkgo Bioworks on an expanded program that will serve as an early warning system to detect new or emerging SARS-CoV-2 variants, and can facilitate response to future travel-associated outbreaks and pandemics.
Microarray Types Covered:
• cDNA Microarrays
• Oligonucleotide Microarrays
• SNP Microarrays
• Other Microarray Types
Crop Types Covered:
• Vegetables
• Cereals
• Fruits
• Legume
• Other Crop Types
Technologies Covered:
• Hybridization
• Fluorescent Labeling
• Bioinformatics & Computational
• Single Nucleotide Polymorphism (SNP) Microarray
• Functional Genomics
• Other Technologies
Applications Covered:
• Genotyping & Marker Discovery
• Disease Resistance & Pathogen Detection
• Abiotic Stress Tolerance
• Nutrient Utilization & Metabolism Studies
• Crop Monitoring in Precision Agriculture
• Epigenetics Studies
• Other Applications
End Users Covered:
• Research Institutions & Universities
• Biotechnology Companies
• Agrochemicals
• Plant Breeders & Geneticists
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global DNA Microarray for Agriculture Market, By Microarray Type
5.1 Introduction
5.2 cDNA Microarrays
5.3 Oligonucleotide Microarrays
5.4 SNP Microarrays
5.5 Other Microarray Types
6 Global DNA Microarray for Agriculture Market, By Crop Type
6.1 Introduction
6.2 Vegetables
6.3 Cereals
6.4 Fruits
6.5 Legume
6.6 Other Crop Types
7 Global DNA Microarray for Agriculture Market, By Technology
7.1 Introduction
7.2 Hybridization
7.3 Fluorescent Labeling
7.4 Bioinformatics & Computational
7.5 Single Nucleotide Polymorphism (SNP) Microarray
7.6 Functional Genomics
7.7 Other Technologies
8 Global DNA Microarray for Agriculture Market, By Application
8.1 Introduction
8.2 Genotyping & Marker Discovery
8.3 Disease Resistance & Pathogen Detection
8.4 Abiotic Stress Tolerance
8.5 Nutrient Utilization & Metabolism Studies
8.6 Crop Monitoring in Precision Agriculture
8.7 Epigenetics Studies
8.8 Other Applications
9 Global DNA Microarray for Agriculture Market, By End User
9.1 Introduction
9.2 Research Institutions & Universities
9.3 Biotechnology Companies
9.4 Agrochemicals
9.5 Plant Breeders & Geneticists
9.6 Other End Users
10 Global DNA Microarray for Agriculture Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Eurofins Genomics
12.2 Affymetrix
12.3 Agilent Technologies
12.4 Illumina, Inc.
12.5 Applied Microarrays
12.6 Arrayit Corporation
12.7 LCG Genomics
12.8 Inqaba Biotec
12.9 LC Sciences
12.10 Biometrix Technology Inc.
12.11 Oxford Gene Technology (OGT)
12.12 PerkinElmer, Inc.
12.13 Greenea Biosciences
12.14 BioCat GmbH
12.15 Scienion AG
12.16 RayBiotech, Inc.
List of Tables
1 Global DNA Microarray for Agriculture Market Outlook, By Region (2021-2030) ($MN)
2 Global DNA Microarray for Agriculture Market Outlook, By Microarray Type (2021-2030) ($MN)
3 Global DNA Microarray for Agriculture Market Outlook, By cDNA Microarrays (2021-2030) ($MN)
4 Global DNA Microarray for Agriculture Market Outlook, By Oligonucleotide Microarrays (2021-2030) ($MN)
5 Global DNA Microarray for Agriculture Market Outlook, By SNP Microarrays (2021-2030) ($MN)
6 Global DNA Microarray for Agriculture Market Outlook, By Other Microarray Types (2021-2030) ($MN)
7 Global DNA Microarray for Agriculture Market Outlook, By Crop Type (2021-2030) ($MN)
8 Global DNA Microarray for Agriculture Market Outlook, By Vegetables (2021-2030) ($MN)
9 Global DNA Microarray for Agriculture Market Outlook, By Cereals (2021-2030) ($MN)
10 Global DNA Microarray for Agriculture Market Outlook, By Fruits (2021-2030) ($MN)
11 Global DNA Microarray for Agriculture Market Outlook, By Legume (2021-2030) ($MN)
12 Global DNA Microarray for Agriculture Market Outlook, By Other Crop Types (2021-2030) ($MN)
13 Global DNA Microarray for Agriculture Market Outlook, By Technology (2021-2030) ($MN)
14 Global DNA Microarray for Agriculture Market Outlook, By Hybridization (2021-2030) ($MN)
15 Global DNA Microarray for Agriculture Market Outlook, By Fluorescent Labeling (2021-2030) ($MN)
16 Global DNA Microarray for Agriculture Market Outlook, By Bioinformatics & Computational (2021-2030) ($MN)
17 Global DNA Microarray for Agriculture Market Outlook, By Single Nucleotide Polymorphism (SNP) Microarray (2021-2030) ($MN)
18 Global DNA Microarray for Agriculture Market Outlook, By Functional Genomics (2021-2030) ($MN)
19 Global DNA Microarray for Agriculture Market Outlook, By Other Technologies (2021-2030) ($MN)
20 Global DNA Microarray for Agriculture Market Outlook, By Application (2021-2030) ($MN)
21 Global DNA Microarray for Agriculture Market Outlook, By Genotyping & Marker Discovery (2021-2030) ($MN)
22 Global DNA Microarray for Agriculture Market Outlook, By Disease Resistance & Pathogen Detection (2021-2030) ($MN)
23 Global DNA Microarray for Agriculture Market Outlook, By Abiotic Stress Tolerance (2021-2030) ($MN)
24 Global DNA Microarray for Agriculture Market Outlook, By Nutrient Utilization & Metabolism Studies (2021-2030) ($MN)
25 Global DNA Microarray for Agriculture Market Outlook, By Crop Monitoring in Precision Agriculture (2021-2030) ($MN)
26 Global DNA Microarray for Agriculture Market Outlook, By Epigenetics Studies (2021-2030) ($MN)
27 Global DNA Microarray for Agriculture Market Outlook, By Other Applications (2021-2030) ($MN)
28 Global DNA Microarray for Agriculture Market Outlook, By End User (2021-2030) ($MN)
29 Global DNA Microarray for Agriculture Market Outlook, By Research Institutions & Universities (2021-2030) ($MN)
30 Global DNA Microarray for Agriculture Market Outlook, By Biotechnology Companies (2021-2030) ($MN)
31 Global DNA Microarray for Agriculture Market Outlook, By Agrochemicals (2021-2030) ($MN)
32 Global DNA Microarray for Agriculture Market Outlook, By Plant Breeders & Geneticists (2021-2030) ($MN)
33 Global DNA Microarray for Agriculture Market Outlook, By Other End Users (2021-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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