Global Plant Genetic Engineering Market

Report ID : 1325 | Published : 2022-07-29 | Pages: | Format: PDF/EXCEL

The market size of the Global Plant Genetic Engineering Market is predicted to show an 7.04% CAGR during the projected period.

Plant genomics intends to sequence, describe, and explore the whole plant genome's genetic architecture, functions, and composition. It assists in the characterization of molecular pathways as well as the discovery of genetic variations in phenotypes. Plant genomics and genetic engineering have improved rapidly in recent years. The applications in every area of plant biology, breeding, and genomic selection have expanded due to these developments. The market is expanding due to the growing use of genomics in plant breeding and the conservation of genetic resources. These two strategies are attracting the attention of numerous researchers worldwide. The goal of increased governmental and commercial investment in plant genomes is to meet the rising food demand for a fast-expanding global population, which is driving the growth of the plant genomics industry. The demand for fresh, high-quality fruits and vegetables has also increased significantly as a result of the world population's rapid growth. Other factors that are anticipated to drive the global market include the growing desire to reduce crop losses and falling costs for DNA synthesis and sequencing. Since traditional sequencing techniques require a lot of effort and time, innovative technologies are applied in plants to sequence genes.

The decline in automated equipment use due to increased costs is projected to impede the growth of the plant genomics market in the long run. Significant factors that may limit the growth of the global market's revenue over the forecast period include the high cost of plant genomics, growing environmental concerns, the dangers of GMO products, low awareness of advanced plant genomic technologies in many parts of the world, and a shortage of qualified healthcare professionals.

Market Segmentation:

The Plant Genetic Engineering Market is segmented on the basis of Trait, Technique, and Application. Based on Trait, the market is segmented as Yield improvement, Disease resistance, Herbicide tolerance, and Others. Based on Technique, the market is segmented as Artificial Selection, Cloning, Gene Splicing, and Others. Based on Application, the market is segmented as Cereals & Grains, Oilseeds & Pulses, Fruits & Vegetables, and Others.

Based on traits, the Herbicide tolerance segment is accounted as a major contributor to the Plant Genetic Engineering Market.

Herbicide tolerance is expected to experience a significant rise due to the rising need to develop resistance among crops to prevent production failure. Herbicide tolerance technology is becoming increasingly popular due to its reduced danger to humans and the environment, as well as government measures to encourage its use over its non-GM counterparts. These factors together account for the majority of the increase in the herbicide tolerance market. Farmers are becoming more interested in the solution as it offers flexibility in weed management during any stage of plant growth, requires fewer sprays, uses less fuel and reduces soil compaction, which spurs the expansion of the herbicide tolerance sector. The trend towards herbicide tolerance technologies is due to the fact that, aside from the addition or modification of an enzyme, no other metabolic changes are made that would also serve as a driving force, and as a result, neither the crop's growth nor its agronomic performance would suffer in comparison to parental crops.

Based on Application, the Cereals and grains segment is accounted as a major contributor to the Plant Genetic Engineering Market.

Cereals and grains lead the total application segment due to their large production and consumption levels. All across the world, people eat a lot of these kinds of cuisine. An increase in crop failure incidents has impacted crop modification reliance as a result of abrupt weather changes affecting productivity. These methods improve the agricultural yield and help shield the crops from insects. Grain and cereal production has proliferated as a result of increased farming and shifting food consumption habits of people around the world. Additionally, there is an increased demand for food grains, increasing pressure on the agricultural industry to produce better crops. With this growing demand, technology has been used in agriculture to increase crop productivity and improve grain and cereal quality.

The Asia Pacific Plant Genetic Engineering Market holds a significant revenue share in the region.

The most significant revenue share in the plant genomics market was in the Asia Pacific region in 2020, which may be ascribed to biotechnology companies' growing investments in high-value crops and food crops to meet the region's rising food demand. The increasing population and customer base in the region's nations and rising disposable income are essential factors contributing to the need for high-value commodities. During the forecast period, the Asia Pacific market is anticipated to grow as a result of rising funding from both public and private organizations, increasing genomic research-based activities, improved research infrastructure and facilities, a strong focus on improving soil and crop quality, and these factors combined. Additionally, the increased use of advanced plant technology in emerging and developing nations like China and India is anticipated to spur demand growth in the APAC area and increase investment in agricultural biotechnology research and development.

Competitive Landscape

The key players in the Plant Genetic Engineering Market have shifted their focus towards bio-based components for product manufacturing and are initiating significant strategies such as mergers, acquisitions, and through partnerships with regional and international companies to expand their product offerings and expand their global market presence. Some of the major key players in the Plant Genetic Engineering Market are Agilent Technologies, Eurofins Scientific Se, Illumina, Inc., Keygene N.V., Neogen Corporation, Novogene Corporation Ltd., Nrgene Ltd., Oxford Nanopore Technologies Ltd., Qiagen N.V, and Sgs -Traitgenetics Gmbh.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Plant Genetic Engineering Market Snapshot

Chapter 4. Global Plant Genetic Engineering Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Trait Estimates & Trend Analysis

5.1. By Trait & Market Share, 2020 & 2030

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Trait:

5.2.1. Yield improvement

5.2.2. Disease resistance

5.2.3. Herbicide tolerance

5.2.4. Others    

Chapter 6. Market Segmentation 2: By Technique Estimates & Trend Analysis

6.1. By Technique & Market Share, 2020 & 2030

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Technique:

6.2.1. Artificial Selection

6.2.2. Cloning

6.2.3. Gene Splicing

6.2.4. Others

Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis

7.1. By Application & Market Share, 2020 & 2030

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2030 for the following By Application:

7.2.1. Cereals & Grains

7.2.2. Oilseeds & Pulses

7.2.3. Fruits & Vegetables

7.2.4. Other

Chapter 8. Plant Genetic Engineering Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts By Trait, 2020-2030

8.1.2. North America Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts By Technique, 2020-2030

8.1.3. North America Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2030

8.1.4. North America Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by country, 2020-2030

8.2. Europe

8.2.1. Europe Plant Genetic Engineering Market revenue (US$ Million) By Trait, 2020-2030

8.2.2. Europe Plant Genetic Engineering Market revenue (US$ Million) By Technique, 2020-2030

8.2.3. Europe Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2030

8.2.4. Europe Plant Genetic Engineering Market revenue (US$ Million) by country, 2020-2030

8.3. Asia Pacific

8.3.1. Asia Pacific Plant Genetic Engineering Market revenue (US$ Million) By Trait, 2020-2030

8.3.2. Asia Pacific Plant Genetic Engineering Market revenue (US$ Million) By Technique, 2020-2030

8.3.3. Asia Pacific Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2030

8.3.4. Asia Pacific Plant Genetic Engineering Market revenue (US$ Million) by country, 2020-2030

8.4. Latin America

8.4.1. Latin America Plant Genetic Engineering Market revenue (US$ Million) By Trait, (US$ Million)

8.4.2. Latin America Plant Genetic Engineering Market revenue (US$ Million) By Technique, (US$ Million)

8.4.3. Latin America Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2030

8.4.4. Latin America Plant Genetic Engineering Market revenue (US$ Million) by country, 2020-2030

8.5. Middle East & Africa

8.5.1. Middle East & Africa Plant Genetic Engineering Market revenue (US$ Million) By Trait, (US$ Million)

8.5.2. Middle East & Africa Plant Genetic Engineering Market revenue (US$ Million) By Technique, (US$ Million)

8.5.3. Middle East & Africa Plant Genetic Engineering Market revenue (US$ Million) estimates and forecasts by Application, 2020-2030

8.5.4. Middle East & Africa Plant Genetic Engineering Market revenue (US$ Million) by country, 2020-2030

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. Agilent Technologies

9.2.2. Eurofins Scientific Se

9.2.3. Illumina, Inc.

9.2.4. Keygene N.V.

9.2.5. Neogen Corporation

9.2.6. Novogene Corporation Ltd.

9.2.7. Nrgene Ltd.

9.2.8. Oxford Nanopore Technologies Ltd.

9.2.9. Qiagen N.V

9.2.10. Sgs -Traitgenetics Gmbh

9.2.11. Other Prominent Players

Segmentation of Plant Genetic Engineering Market-

By Trait

  • Yield improvement
  • Disease resistance
  • Herbicide tolerance
  • Others

By Technique

  • Artificial Selection
  • Cloning
  • Gene Splicing
  • Others

By Application

  • Cereals & Grains
  • Oilseeds & Pulses
  • Fruits & Vegetables
  • Other

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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7.04% CAGR during the projected period.

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