Computational Breeding includes Molecular Breeding, Hybrid Breeding, Genome Editing and Genetic Engineering.It can used in Oilseeds & Pulses, Cereals & Grains, Fruits & Vegetables and other applications.
The global Computational Breeding market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Computational Breeding is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Computational Breeding is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Computational Breeding in Oilseeds & Pulses is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Computational Breeding include NRgene, NSIP, Computomics, GeneTwister, Keygene, GeneXPro, Hi Fidelity Genetics and Benson Hill, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Computational Breeding, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Computational Breeding.
Report Scope
The Computational Breeding market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Computational Breeding market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Computational Breeding companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NRgene
NSIP
Computomics
GeneTwister
Keygene
GeneXPro
Hi Fidelity Genetics
Benson Hill
Segment by Type
Molecular Breeding
Hybrid Breeding
Genome Editing
Genetic Engineering
Segment by Application
Oilseeds & Pulses
Cereals & Grains
Fruits & Vegetables
Other Applications
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Computational Breeding companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Computational Breeding Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Molecular Breeding
1.2.3 Hybrid Breeding
1.2.4 Genome Editing
1.2.5 Genetic Engineering
1.3 Market by Application
1.3.1 Global Computational Breeding Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Oilseeds & Pulses
1.3.3 Cereals & Grains
1.3.4 Fruits & Vegetables
1.3.5 Other Applications
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Computational Breeding Market Perspective (2019-2030)
2.2 Computational Breeding Growth Trends by Region
2.2.1 Global Computational Breeding Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Computational Breeding Historic Market Size by Region (2019-2024)
2.2.3 Computational Breeding Forecasted Market Size by Region (2025-2030)
2.3 Computational Breeding Market Dynamics
2.3.1 Computational Breeding Industry Trends
2.3.2 Computational Breeding Market Drivers
2.3.3 Computational Breeding Market Challenges
2.3.4 Computational Breeding Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Computational Breeding Players by Revenue
3.1.1 Global Top Computational Breeding Players by Revenue (2019-2024)
3.1.2 Global Computational Breeding Revenue Market Share by Players (2019-2024)
3.2 Global Computational Breeding Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Computational Breeding Revenue
3.4 Global Computational Breeding Market Concentration Ratio
3.4.1 Global Computational Breeding Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Computational Breeding Revenue in 2023
3.5 Computational Breeding Key Players Head office and Area Served
3.6 Key Players Computational Breeding Product Solution and Service
3.7 Date of Enter into Computational Breeding Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Computational Breeding Breakdown Data by Type
4.1 Global Computational Breeding Historic Market Size by Type (2019-2024)
4.2 Global Computational Breeding Forecasted Market Size by Type (2025-2030)
5 Computational Breeding Breakdown Data by Application
5.1 Global Computational Breeding Historic Market Size by Application (2019-2024)
5.2 Global Computational Breeding Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Computational Breeding Market Size (2019-2030)
6.2 North America Computational Breeding Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Computational Breeding Market Size by Country (2019-2024)
6.4 North America Computational Breeding Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Computational Breeding Market Size (2019-2030)
7.2 Europe Computational Breeding Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Computational Breeding Market Size by Country (2019-2024)
7.4 Europe Computational Breeding Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Computational Breeding Market Size (2019-2030)
8.2 Asia-Pacific Computational Breeding Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Computational Breeding Market Size by Region (2019-2024)
8.4 Asia-Pacific Computational Breeding Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Computational Breeding Market Size (2019-2030)
9.2 Latin America Computational Breeding Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Computational Breeding Market Size by Country (2019-2024)
9.4 Latin America Computational Breeding Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Computational Breeding Market Size (2019-2030)
10.2 Middle East & Africa Computational Breeding Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Computational Breeding Market Size by Country (2019-2024)
10.4 Middle East & Africa Computational Breeding Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NRgene
11.1.1 NRgene Company Detail
11.1.2 NRgene Business Overview
11.1.3 NRgene Computational Breeding Introduction
11.1.4 NRgene Revenue in Computational Breeding Business (2019-2024)
11.1.5 NRgene Recent Development
11.2 NSIP
11.2.1 NSIP Company Detail
11.2.2 NSIP Business Overview
11.2.3 NSIP Computational Breeding Introduction
11.2.4 NSIP Revenue in Computational Breeding Business (2019-2024)
11.2.5 NSIP Recent Development
11.3 Computomics
11.3.1 Computomics Company Detail
11.3.2 Computomics Business Overview
11.3.3 Computomics Computational Breeding Introduction
11.3.4 Computomics Revenue in Computational Breeding Business (2019-2024)
11.3.5 Computomics Recent Development
11.4 GeneTwister
11.4.1 GeneTwister Company Detail
11.4.2 GeneTwister Business Overview
11.4.3 GeneTwister Computational Breeding Introduction
11.4.4 GeneTwister Revenue in Computational Breeding Business (2019-2024)
11.4.5 GeneTwister Recent Development
11.5 Keygene
11.5.1 Keygene Company Detail
11.5.2 Keygene Business Overview
11.5.3 Keygene Computational Breeding Introduction
11.5.4 Keygene Revenue in Computational Breeding Business (2019-2024)
11.5.5 Keygene Recent Development
11.6 GeneXPro
11.6.1 GeneXPro Company Detail
11.6.2 GeneXPro Business Overview
11.6.3 GeneXPro Computational Breeding Introduction
11.6.4 GeneXPro Revenue in Computational Breeding Business (2019-2024)
11.6.5 GeneXPro Recent Development
11.7 Hi Fidelity Genetics
11.7.1 Hi Fidelity Genetics Company Detail
11.7.2 Hi Fidelity Genetics Business Overview
11.7.3 Hi Fidelity Genetics Computational Breeding Introduction
11.7.4 Hi Fidelity Genetics Revenue in Computational Breeding Business (2019-2024)
11.7.5 Hi Fidelity Genetics Recent Development
11.8 Benson Hill
11.8.1 Benson Hill Company Detail
11.8.2 Benson Hill Business Overview
11.8.3 Benson Hill Computational Breeding Introduction
11.8.4 Benson Hill Revenue in Computational Breeding Business (2019-2024)
11.8.5 Benson Hill Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
NRgene
NSIP
Computomics
GeneTwister
Keygene
GeneXPro
Hi Fidelity Genetics
Benson Hill
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*If Applicable.
