The global next-generation genetic engineering in agriculture market was valued at $756 million in 2020, and is projected to reach $1,298 million by 2030, registering a CAGR of 5.9% from 2021 to 2030.
Next-generation genetic engineering is the process that uses recombinant DNA (rDNA) technology to change the genetic makeup of the crop. This process is also referred to as genetic modification of the crops, wherein new DNA is transferred into plant cells. The conventional methods of plant breeding include crossing together plants with relevant characteristics. However, wild variant plants make poor crops, which led to the need for crops to be genetically modified through next-generation genetic engineering. Many advantages can be attained using next-generation genetic engineering in crops, which include higher crop yield, reduced costs for food or drug production, decrease in need for pesticides, and enhancements in nutrient composition & food quality. In addition, other advantages include resistance to pests & diseases that crops suffer from and increased food security. Genetic modification can be made in crops to support the growth of crops even in conditions that are not favorable for plants to grow. This can be done in crops that mature faster and can tolerate aluminum, boron, salt, drought, frost, and other environmental stressors, allowing plants to grow.
The growth in the next-generation genetic engineering is attributed to technological advancements in next-generation genetic engineering techniques. A steep rise has been witnessed in the demand for improved crop varieties such that crops grown can survive extreme conditions of the environment and other extremities of content of chemicals in the soil. In addition, the cost-effectiveness of the genomics such that the study for next-generation genetic engineering in agriculture for crops can be achieved is anticipated to help the market grow in the coming years. Increase in investments for next-generation genetic engineering in agriculture is expected to support the market generate higher revenue in the coming years.
However, lesser usage of automated instruments for next-generation genetic engineering due to higher cost and higher cost of infrastructure are expected to hinder the growth of the market. On the contrary, high potential in emerging economies for the development of the market and increase in opportunities for using novel DNA sequencing technologies are anticipated to open new avenues for the global market in the next few years.
The global next-generation genetic engineering in agriculture market is segmented into objective, application, trait, and region. On the basis of objective, the market is categorized into DNA & RNA sequencing, genotyping, GENE expression profiling, GMO-trait purity testing and others. The DNA AND RNA sequencing segment further divided depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables and others. The genotyping segment is further classified divided on the basis of applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The GENE expression profiling segment is further divided by applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The GMO-trait purity testing further classified depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The others segment is further segregated depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The applications covered in the study include cereals & grains, oilseeds & pulses, fruits & vegetables and others. On the basis of trait, the market is segregated into yield improvement, disease resistance, herbicide tolerance, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Next-generation genetic engineering is the process that uses recombinant DNA (rDNA) technology to change the genetic makeup of the crop. This process is also referred to as genetic modification of the crops, wherein new DNA is transferred into plant cells. The conventional methods of plant breeding include crossing together plants with relevant characteristics. However, wild variant plants make poor crops, which led to the need for crops to be genetically modified through next-generation genetic engineering. Many advantages can be attained using next-generation genetic engineering in crops, which include higher crop yield, reduced costs for food or drug production, decrease in need for pesticides, and enhancements in nutrient composition & food quality. In addition, other advantages include resistance to pests & diseases that crops suffer from and increased food security. Genetic modification can be made in crops to support the growth of crops even in conditions that are not favorable for plants to grow. This can be done in crops that mature faster and can tolerate aluminum, boron, salt, drought, frost, and other environmental stressors, allowing plants to grow.
The growth in the next-generation genetic engineering is attributed to technological advancements in next-generation genetic engineering techniques. A steep rise has been witnessed in the demand for improved crop varieties such that crops grown can survive extreme conditions of the environment and other extremities of content of chemicals in the soil. In addition, the cost-effectiveness of the genomics such that the study for next-generation genetic engineering in agriculture for crops can be achieved is anticipated to help the market grow in the coming years. Increase in investments for next-generation genetic engineering in agriculture is expected to support the market generate higher revenue in the coming years.
However, lesser usage of automated instruments for next-generation genetic engineering due to higher cost and higher cost of infrastructure are expected to hinder the growth of the market. On the contrary, high potential in emerging economies for the development of the market and increase in opportunities for using novel DNA sequencing technologies are anticipated to open new avenues for the global market in the next few years.
The global next-generation genetic engineering in agriculture market is segmented into objective, application, trait, and region. On the basis of objective, the market is categorized into DNA & RNA sequencing, genotyping, GENE expression profiling, GMO-trait purity testing and others. The DNA AND RNA sequencing segment further divided depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables and others. The genotyping segment is further classified divided on the basis of applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The GENE expression profiling segment is further divided by applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The GMO-trait purity testing further classified depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The others segment is further segregated depending on applications such as cereals & grains, oilseeds & pulses, fruits & vegetables, and others. The applications covered in the study include cereals & grains, oilseeds & pulses, fruits & vegetables and others. On the basis of trait, the market is segregated into yield improvement, disease resistance, herbicide tolerance, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the market along with the current trends and future estimations to elucidate the imminent investment pockets.
- It covers a quantitative analysis from 2020 to 2030, which is expected to enable the stakeholders to capitalize on the prevailing market opportunities.
- A comprehensive analysis of factors that drive and restrain the growth of the market is provided.
- The profiles and growth strategies of the key players are thoroughly analyzed to understand the competitive outlook of the market.
KEY MARKET SEGMENTS
By Objective
- DNA & RNA Sequencing
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
- Genotyping
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
- GENE Expression Profiling
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
- GMO-trait Purity Testing
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
- Others
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
By Application
- Cereals & Grains
- Oilseeds & Pulses
- Fruits & Vegetables
- Others
By Trait
- Yield Improvement
- Disease Resistance
- Herbicide Tolerance
- Others
By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- Australia
- India
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Saudi Arabia
- South Africa
- Rest of LAMEA
LIST OF KEY PLAYERS PROFILED IN THE REPORT
- Agilent Technologies
- Eurofins Scientific SE
- Illumina, Inc.
- KeyGene N.V.
- Neogen Corporation
- Novogene Corporation Ltd.
- NRGene Ltd.
- Oxford Nanopore Technologies Ltd.
- Qiagen N.V.
- SGS-Traitgenetics GmbH
Table of Contents
CHAPTER 1: INTRODUCTION1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.3.1. List of key players profiled in the report
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings of the study
2.2. CXO perspective
CHAPTER 3: MARKET LANDSCAPE
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. Porter’s five force analysis
3.4. Top player positioning, 2020
3.5. Market dynamics
3.5.1. Drivers
3.5.1.1. Rise in adoption of improved crop varieties
3.5.1.2. Technological advancements in genetic engineering in agriculture
3.5.1.3. Increase in demand for fruits and vegetables
3.5.2. Restraint
3.5.2.1. Poor demand in underdeveloped countries
3.5.3. Opportunity
3.5.3.1. High market growth potential in emerging markets
3.5.4. Impact analysis
3.6. COVID-19 Impact analysis on next-generation genetic engineering in agriculture market
CHAPTER 4: NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY OBJECTIVE
4.1. Overview
4.1.1. Market size and forecast
4.2. DNA & RNA sequencing
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast
4.2.3. Market analysis, by country
4.2.4. Market size and forecast, by application
4.3. Genotyping
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast
4.3.3. Market analysis, by country
4.3.4. Market size and forecast, by application
4.4. GENE expression profiling
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast
4.4.3. Market analysis, by country
4.4.4. Market size and forecast, by application
4.5. GMO-trait purity testing
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast
4.5.3. Market analysis, by country
4.5.4. Market size and forecast, by application
4.6. Others
4.6.1. Key market trends, growth factors, and opportunities
4.6.2. Market size and forecast
4.6.3. Market analysis, by country
4.6.4. Market size and forecast, by application
CHAPTER 5: NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY APPLICATION
5.1. Overview
5.1.1. Market size and forecast
5.2. Cereals & grains
5.2.1. Market size and forecast, by region
5.2.2. Market analysis, by country
5.3. Oilseeds & pulses
5.3.1. Market size and forecast, by region
5.3.2. Market analysis, by country
5.4. Fruits & vegetables
5.4.1. Market size and forecast, by region
5.4.2. Market analysis, by country
5.5. Others
5.5.1. Market size and forecast, by region
5.5.2. Market analysis, by country
CHAPTER 6: NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY TRAIT
6.1. Overview
6.1.1. Market size and forecast
6.2. Yield improvement
6.2.1. Market size and forecast, by region
6.2.2. Market analysis, by country
6.3. Disease resistance
6.3.1. Market size and forecast, by region
6.3.2. Market analysis, by country
6.4. Herbicide tolerance
6.4.1. Market size and forecast, by region
6.4.2. Market analysis, by country
6.5. Others
6.5.1. Market size and forecast, by region
6.5.2. Market analysis, by country
CHAPTER 7: NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast
7.2. North America
7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by country
7.2.2.1. U. S.
7.2.2.1.1. U. S. next-generation genetic engineering in agriculture market, by objective
7.2.2.1.2. U. S. next-generation genetic engineering in agriculture market, by application
7.2.2.1.3. U. S. next-generation genetic engineering in agriculture market, by trait
7.2.2.2. Canada
7.2.2.2.1. Canada next-generation genetic engineering in agriculture market, by objective
7.2.2.2.2. Canada next-generation genetic engineering in agriculture market, by application
7.2.2.2.3. Canada next-generation genetic engineering in agriculture market, by trait
7.2.2.3. Mexico
7.2.2.3.1. Mexico next-generation genetic engineering in agriculture market, by objective
7.2.2.3.2. Mexico next-generation genetic engineering in agriculture market, by application
7.2.2.3.3. Mexico next-generation genetic engineering in agriculture market, by trait
7.2.3. North America market size and forecast, by objective
7.2.4. North America market size and forecast, by application
7.2.5. North America market size and forecast, by trait
7.3. Europe
7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by country
7.3.2.1. Germany
7.3.2.1.1. Germany next-generation genetic engineering in agriculture market, by objective
7.3.2.1.2. Germany next-generation genetic engineering in agriculture market, by application
7.3.2.1.3. Germany next-generation genetic engineering in agriculture market, by trait
7.3.2.2. France
7.3.2.2.1. France next-generation genetic engineering in agriculture market, by objective
7.3.2.2.2. France next-generation genetic engineering in agriculture market, by application
7.3.2.2.3. France next-generation genetic engineering in agriculture market, by trait
7.3.2.3. UK
7.3.2.3.1. UK next-generation genetic engineering in agriculture market, by objective
7.3.2.3.2. UK next-generation genetic engineering in agriculture market, by application
7.3.2.3.3. UK next-generation genetic engineering in agriculture market, by trait
7.3.2.4. Italy
7.3.2.4.1. Italy next-generation genetic engineering in agriculture market, by objective
7.3.2.4.2. Italy next-generation genetic engineering in agriculture market, by application
7.3.2.4.3. Italy next-generation genetic engineering in agriculture market, by trait
7.3.2.5. Spain
7.3.2.5.1. Spain next-generation genetic engineering in agriculture market, by objective
7.3.2.5.2. Spain next-generation genetic engineering in agriculture market, by application
7.3.2.5.3. Spain next-generation genetic engineering in agriculture market, by trait
7.3.2.6. Rest of Europe
7.3.2.6.1. Rest of Europe next-generation genetic engineering in agriculture market, by objective
7.3.2.6.2. Rest of Europe next-generation genetic engineering in agriculture market, by application
7.3.2.6.3. Rest of Europe next-generation genetic engineering in agriculture market, by trait
7.3.3. Europe market size and forecast, by objective
7.3.4. Europe market size and forecast, by application
7.3.5. Europe market size and forecast, by trait
7.4. Asia-Pacific
7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by country
7.4.2.1. Japan
7.4.2.1.1. Japan next-generation genetic engineering in agriculture market, by objective
7.4.2.1.2. Japan next-generation genetic engineering in agriculture market, by application
7.4.2.1.3. Japan next-generation genetic engineering in agriculture market, by trait
7.4.2.2. China
7.4.2.2.1. China next-generation genetic engineering in agriculture market, by objective
7.4.2.2.2. China next-generation genetic engineering in agriculture market, by application
7.4.2.2.3. China next-generation genetic engineering in agriculture market, by trait
7.4.2.3. Australia
7.4.2.3.1. Australia next-generation genetic engineering in agriculture market, by objective
7.4.2.3.2. Australia next-generation genetic engineering in agriculture market, by application
7.4.2.3.3. Australia next-generation genetic engineering in agriculture market, by trait
7.4.2.4. India
7.4.2.4.1. India next-generation genetic engineering in agriculture market, by objective
7.4.2.4.2. India next-generation genetic engineering in agriculture market, by application
7.4.2.4.3. India next-generation genetic engineering in agriculture market, by trait
7.4.2.5. South Korea
7.4.2.5.1. South Korea next-generation genetic engineering in agriculture market, by objective
7.4.2.5.2. South Korea next-generation genetic engineering in agriculture market, by application
7.4.2.5.3. South Korea next-generation genetic engineering in agriculture market, by trait
7.4.2.6. Rest of Asia-Pacific
7.4.2.6.1. Rest of Asia-Pacific next-generation genetic engineering in agriculture market, by objective
7.4.2.6.2. Rest of Asia-Pacific next-generation genetic engineering in agriculture market, by application
7.4.2.6.3. Rest of Asia-Pacific next-generation genetic engineering in agriculture market, by trait
7.4.3. Asia-Pacific market size and forecast, by objective
7.4.4. Asia-Pacific market size and forecast, by application
7.4.5. Asia-Pacific market size and forecast, by trait
7.5. LAMEA
7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by country
7.5.2.1. Brazil
7.5.2.1.1. Brazil next-generation genetic engineering in agriculture market, by objective
7.5.2.1.2. Brazil next-generation genetic engineering in agriculture market, by application
7.5.2.1.3. Brazil next-generation genetic engineering in agriculture market, by trait
7.5.2.2. Saudi Arabia
7.5.2.2.1. Saudi Arabia next-generation genetic engineering in agriculture market, by objective
7.5.2.2.2. Saudi Arabia next-generation genetic engineering in agriculture market, by application
7.5.2.2.3. Saudi Arabia next-generation genetic engineering in agriculture market, by trait
7.5.2.3. South Africa
7.5.2.3.1. South Africa next-generation genetic engineering in agriculture market, by objective
7.5.2.3.2. South Africa next-generation genetic engineering in agriculture market, by application
7.5.2.3.3. South Africa next-generation genetic engineering in agriculture market, by trait
7.5.2.4. Rest of LAMEA
7.5.2.4.1. Rest of LAMEA next-generation genetic engineering in agriculture market, by objective
7.5.2.4.2. Rest of LAMEA next-generation genetic engineering in agriculture market, by application
7.5.2.4.3. Rest of LAMEA next-generation genetic engineering in agriculture market, by trait
7.5.3. LAMEA market size and forecast, by objective
7.5.4. LAMEA market size and forecast, by application
7.5.5. LAMEA market size and forecast, by trait
CHAPTER 8: COMPANY PROFILES
8.1. AGILENT TECHNOLOGIES
8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments
8.2. EUROFINS SCIENTIFIC SE
8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Operating business segments
8.2.4. Product portfolio
8.2.5. Business performance
8.2.6. Key strategic moves and developments
8.3. ILLUMINA, INC.
8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Operating business segments
8.3.4. Product portfolio
8.3.5. Business performance
8.3.6. Key strategic moves and developments
8.4. KEYGENE N. V.
8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Operating business segments
8.4.4. Product portfolio
8.4.5. Key strategic moves and developments
8.5. NEOGEN CORPORATION
8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Product portfolio
8.5.5. Business performance
8.5.6. Key strategic moves and developments
8.6. NOVOGENE CORPORATION LTD.
8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Key strategic moves and developments
8.7. NRGENE LTD.
8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Key strategic moves and developments
8.8. OXFORD NANOPORE TECHNOLOGIES LTD.
8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Product portfolio
8.8.5. Business performance
8.9. QIAGEN N. V
8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments
8.10. SGS -TRAITGENETICS GMBH
8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Business performanceLIST OF TABLES
TABLE 01. GLOBAL NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 02. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR DNA & RNA SEQUENCING, BY REGION, 2020-2030 ($MILLION)
TABLE 03. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR DNA & RNA SEQUENCING, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 04. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR GENOTYPING BY REGION, 2020-2030 ($MILLION)
TABLE 05. NEXT GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR GENOTYPING , BY APPLICATION, 2020-2030 ($MILLION)
TABLE 06. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR GENE EXPRESSION PROFILING, BY REGION, 2020-2030 ($MILLION)
TABLE 07. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR GENE EXPRESSION PROFILING, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 08. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR GMO TRAIT PURITY TESTING, BY REGION, 2020-2030 ($MILLION)
TABLE 09. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR GMO TRAIT PURITY TESTING, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 10. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OTHERS BY REGION, 2020-2030 ($MILLION)
TABLE 11. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR OTHERS, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 12. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 13. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR CEREALS & GRAINS, BY REGION, 2020-2030 ($MILLION)
TABLE 14. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OILSEEDS & PULSES, BY REGION, 2020-2030 ($MILLION)
TABLE 15. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR FRUITS & VEGETABLES, BY REGION, 2020-2030 ($MILLION)
TABLE 16. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OTHER APPLICATION, BY REGION, 2020-2030 ($MILLION)
TABLE 17. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY TRAIT, 2020-2030 ($MILLION)
TABLE 18. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR YIELD IMPROVEMENT, BY REGION, 2020-2030 ($MILLION)
TABLE 19. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR DISEASE RESISTANCE, BY REGION, 2020-2030 ($MILLION)
TABLE 20. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR HERBICIDE TOLERANCE, BY REGION, 2020-2030 ($MILLION)
TABLE 21. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OTHER TRAIT, BY REGION, 2020-2030 ($MILLION)
TABLE 22. GLOBAL NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY REGION, 2020-2030, ($MILLION)
TABLE 23. NORTH AMERICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY COUNTRY, 2020-2030, ($MILLION)
TABLE 24. U.S. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 25. U.S. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 26. U.S. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 27. CANADA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 28. CANADA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 29. CANADA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 30. MEXICO NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 31. MEXICO NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 32. MEXICO NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 33. NORTH AMERICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 34. NORTH AMERICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 35. NORTH AMERICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 36. EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY COUNTRY, 2020-2030, ($MILLION)
TABLE 37. GERMANY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 38. GERMANY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 39. GERMANY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 40. FRANCE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 41. FRANCE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 42. FRANCE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 43. UK NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 44. UK NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 45. UK NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 46. ITALY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 47. ITALY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 48. ITALY NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 49. SPAIN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 50. SPAIN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 51. SPAIN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 52. REST OF EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 53. REST OF EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 54. REST OF EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 55. EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 56. EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 57. EUROPE NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 58. ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY COUNTRY, 2020-2030, ($MILLION)
TABLE 59. JAPAN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 60. JAPAN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 61. JAPAN NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 62. CHINA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 63. CHINA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 64. CHINA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 65. AUSTRALIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 66. AUSTRALIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 67. AUSTRALIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 68. INDIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 69. INDIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 70. INDIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 71. SOUTH KOREA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 72. SOUTH KOREA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 73. SOUTH KOREA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 74. REST OF ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 75. REST OF ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 76. REST OF ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 77. ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 78. ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 79. ASIA-PACIFIC NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 80. LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY COUNTRY, 2020-2030, ($MILLION)
TABLE 81. BRAZIL NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 82. BRAZIL NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 83. BRAZIL NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 84. SAUDI ARABIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 85. SAUDI ARABIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 86. SAUDI ARABIA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 87. SOUTH AFRICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 88. SOUTH AFRICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 89. SOUTH AFRICA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION) )
TABLE 90. REST OF LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 91. REST OF LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 92. REST OF LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 93. LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY OBJECTIVE, 2020-2030, ($MILLION)
TABLE 94. LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY APPLICATION, 2020-2030, ($MILLION)
TABLE 95. LAMEA NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET BY TRAIT, 2020-2030, ($MILLION)
TABLE 96. AGILENT: COMPANY SNAPSHOT
TABLE 97. AGILENT: OPERATING SEGMENTS
TABLE 98. AGILENT: PRODUCT PORTFOLIO
TABLE 99. EUROFINS: COMPANY SNAPSHOT
TABLE 100. EUROFINS: OPERATING SEGMENTS
TABLE 101. EUROFINS: PRODUCT PORTFOLIO
TABLE 102. ILLUMINA: COMPANY SNAPSHOT
TABLE 103. ILLUMINA: OPERATING SEGMENTS
TABLE 104. ILLUMINA: PRODUCT PORTFOLIO
TABLE 105. KEYGENE: COMPANY SNAPSHOT
TABLE 106. KEYGENE: OPERATING SEGMENTS
TABLE 107. KEYGENE: PRODUCT PORTFOLIO
TABLE 108. NEOGEN: COMPANY SNAPSHOT
TABLE 109. NEOGEN: OPERATING SEGMENTS
TABLE 110. NEOGEN: PRODUCT PORTFOLIO
TABLE 111. NOVOGENE: COMPANY SNAPSHOT
TABLE 112. NOVOGENE: OPERATING SEGMENTS
TABLE 113. NOVOGENE: PRODUCT PORTFOLIO
TABLE 114. NRGENE: COMPANY SNAPSHOT
TABLE 115. NRGENE: OPERATING SEGMENTS
TABLE 116. NRGENE: PRODUCT PORTFOLIO
TABLE 117. OXFORD NANOPORE: COMPANY SNAPSHOT
TABLE 118. OXFORD NANOPORE: OPERATING SEGMENTS
TABLE 119. OXFORD NANOPORE: PRODUCT PORTFOLIO
TABLE 120. QIAGEN: COMPANY SNAPSHOT
TABLE 121. QIAGEN: OPERATING SEGMENTS
TABLE 122. QIAGEN: PRODUCT PORTFOLIO
TABLE 123. SGS: COMPANY SNAPSHOT
TABLE 124. SGS: OPERATING SEGMENTS
TABLE 125. SGS: PRODUCT PORTFOLIOLIST OF FIGURES
FIGURE 01. NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET SEGMENTATION
FIGURE 02. TOP INVESTMENT POCKETS
FIGURE 03. TOP WINNING STRATEGIES, BY YEAR, 2018-2021
FIGURE 04. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2018-2021
FIGURE 05. TOP WINNING STRATEGIES, BY COMPANY, 2018-2021
FIGURE 01. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 02. MODERATE BARGAINING POWER OF BUYERS
FIGURE 03. HIGH THREAT OF SUBSTITUTES
FIGURE 04. HIGH THREAT OF NEW ENTRANTS
FIGURE 05. HIGH INTENSITY OF RIVALRY
FIGURE 06. TOP PLAYER POSITIONING, 2020
FIGURE 07. IMPACT ANALYSIS
FIGURE 08. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR DNA & RNA SEQUENCING, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 09. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR GENOTYPING, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 10. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR GENE EXPRESSION PROFILING, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 11. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR GMO-TRAIT PURITY TESTING, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 12. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET, FOR OTHERS, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 13. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR CEREALS & GRAINS, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 14. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OILSEEDS & PULSES, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 15. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR FRUITS & VEGETABLES, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 16. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OTHER APPLICATION, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 17. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR YIELD IMPROVEMENT, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 18. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR DISEASE RESISTANCE, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 19. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR HERBICIDE TOLERANCE, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 20. COMPARATIVE ANALYSIS OF NEXT-GENERATION GENETIC ENGINEERING IN AGRICULTURE MARKET FOR OTHER TRAIT, BY COUNTRY, 2020 & 2030 ($MILLION)
FIGURE 21. AGILENT: NET SALES, 2018-2020 ($MILLION)
FIGURE 22. AGILENT: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 23. AGILENT: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 24. EUROFINS: NET SALES, 2018-2020 ($MILLION)
FIGURE 25. EUROFINS REVENUE SHARE BY REGION, 2020 (%)
FIGURE 26. ILLUMINA: NET SALES, 2018-2020 ($MILLION)
FIGURE 27. ILLUMINA: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 28. ILLUMINA: REVENUE SHARE BY GEOGRAPHY, 2020 (%)
FIGURE 29. NEOGEN: NET SALES, 2018-2020, ($MILLION)
FIGURE 30. NEOGEN: REVENUE SHARE BY SEGMENTS, 2020 (%)
FIGURE 31. NEOGEN: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 32. OXFORD NANOPORE: NET SALES, 2017-2019 ($MILLION)
FIGURE 33. QIAGEN: NET SALES, 2018-2020 ($MILLION)
FIGURE 34. QIAGEN: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 35. QIAGEN: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 36. SGS: NET SALES, 2018-2020 ($MILLION)
FIGURE 37. SGS: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 38. SGS: REVENUE SHARE BY REGION, 2020 (%)
Companies Mentioned
- urofins Scientific
- Illumina Inc.
- Agilent Technologies
- Qiagen N.V.
- NRgene
- Neogen Corporation
- Keygene
- Traitgenetics GmbH
- Novogene Corporation
- Oxford Nanopore Technologies.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
LOADING...
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | July 2021 |
| Forecast Period | 2020 - 2030 |
| Estimated Market Value ( USD | $ 756 million |
| Forecasted Market Value ( USD | $ 1298 million |
| Compound Annual Growth Rate | 5.6% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
