NEW YORK – Nova one advisor recently added a research report, Artificial Intelligence In Genomics market – global industry size, share analysis, market dynamics, market risk factors, market opportunities and challenges. segment forecast and the geographical distribution of the global market, profitability graph and the regional outlook of this business vertical.
Market Size; The global Artificial Intelligence In Genomics market size was valued at US$ 304 million in 2020 and is projected to reach US$ 2,675 million by 2027, rising at a market growth (CAGR) of 53.8% during the forecast period.
The need to control drug development and discovery costs and time, increasing public and private investments in AI in genomics, and the adoption of AI solutions in precision medicine are driving the growth of this market. However, the lack of a skilled AI workforce and ambiguous regulatory guidelines for medical software are expected to restrain the market growth during the forecast period.
NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.
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A recent report provides crucial insights along with application based and forecast information in the Global Artificial Intelligence In Genomics Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Artificial Intelligence In Genomics market.
With increasing cases of obesity all over the globe, a need for conducting an in-depth study about this healthcare issue led to the development of this report. Increasing binge eating and consumption of junk foods, neglect towards regular exercise, rising levels of stress, are key market drivers. The report discusses more information about these subjects, with a focus on the rising need for Artificial Intelligence In Genomics.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period. With healthcare being a sensitive topic, a separate analysis is included that discusses the widespread continuing obesity all over the globe consequently increasing demand for surgical devices.
Highlights of the Report:
In-depth analysis of various insights, namely, Artificial Intelligence In Genomics Market trends, growth drivers, opportunities, and other related challenges.
Comprehensive details of key market players, their core competencies, and Artificial Intelligence In Genomics Market share.
The potency of suppliers and buyers to make better business decisions.
Lists out the market size in terms of volume.
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Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analyzed and prime business strategies and products that offer high revenue generation capacities were indentified. Key players of the global Artificial Intelligence In Genomics market are included as given below:
List of KEY PLAYERS in Artificial Intelligence In Genomics Market Report are:
IBM (US), Microsoft (US), NVIDIA Corporation (US), Deep Genomics (Canada), BenevolentAI (UK), Fabric Genomics Inc. (US), Verge Genomics (US), Freenome Holdings, Inc. (US), MolecularMatch Inc. (US), Cambridge Cancer Genomics (UK), SOPHiA GENETICS (US), Data4Cure Inc. (US), PrecisionLife Ltd (UK), Genoox Ltd. (US), Lifebit (UK), Diploid (Belgium), FDNA Inc. (US), DNAnexus Inc. (US), Empiric Logic (Ireland), and Engine Biosciences Pte. Ltd. (US).
Unravelling the Critical Segments
This research report offers market revenue, sales volume, production assessment and prognoses by classifying it on the basis of various aspects including product type, application/end-user, and region. Further, this research study investigates market size, production, consumption and its development trends at global, regional, and country level for period 2017 to 2027 and covers subsequent region in its scope:
AI in genomics Market, by Offering
- Software
- Services
AI in genomics Market, by Technology
- Machine Learning
- Deep Learning
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
- Other Machine LearningnTechnologies
- Other Technologies
AI in genomics Market, by Functionality
- Genome Sequencing
- Gene Editing
- Clinical Workflows
- Predictive Genetic Testing & Preventive Medicine
AI in genomics Market, by Application
- Diagnostics
- Drug Discovery & Development
- Precision Medicine
- Agriculture & animal Research
- Other Applications
AI in genomics Market, by end user
- Pharmaceutical & Biotech Companies
- Healthcare Providers
- Research Centers, Academic Institutes, &
- Government Organizations
- Other End Users
Regional Analysis and Forecast
Further, this research study analyses market size, production, consumption and its advancement trends at global, regional, and country level for period 2016 to 2027 and covers following region in its scope:
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- Italy
- France
- Rest of EU
- Asia Pacific
- China
- India
- Japan
- Southeast Asia
- Rest of APAC
- Central & South America
- Brazil
- Argentina
- Rest of Central & South America
- Middle East and Africa
- UAE
- Saudi Arabia
- Rest of MEA
Important years considered for this report:
Historical Years: 2017-2021
Base Year: 2021
Forecast Period: 2021-2027
Impact of COVID-19 on the Healthcare Industry
The COVID-19 pandemic has caused severe impacts on the global economy at various levels and which can be seen on the Healthcare industry as well. The thriving market of health care research and development is expected to exhibit a steep decline in the sales during the lockdown period owing to the shutdown of the manufacturing units, acute shortage in the supply of raw materials and absence of potential manpower. It can be deduced from the current situations brought about by the pandemic that the production, and supply chain activities have experienced minor hurdles. However, the market is projected to gradually recover post-COVID-19, which will present attractive opportunities for sales across various regions of the world in the following years.
Nova one advisor adopted a multidisciplinary approach during the pandemic-era to focus on the growth and development of the Artificial Intelligence In Genomics Market. The study features insights on the current growth dynamics and the major revenue reforms prevailing in the market as along with the key takeaways over the forecast.
The team of analysts at Nova one advisor are focussing on research and market study to produce different Artificial Intelligence In Genomics Market forecasts and predictions at both national and international levels. They have considered several leads of information pertaining to the industry like market figures and merger estimations to assess and produce reliable and informative insights on the Artificial Intelligence In Genomics Market.
Key Questions Covered in the Report
- What is the impact of Covid-19 on the Artificial Intelligence In Genomics Market?
- What is the CAGR of this market during the forecast period 2021 to 2027?
- How will the market expand through 2027?
- Which top manufacturing companies are leading this market?
- What are the key drivers and trends that will stimulate Artificial Intelligence In Genomics sales?
- What are the challenges that will affect the sales of this market?
- Which region will remain the most lucrative during the forecast period?
Reasons to Purchase this Report:
- Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
- Provision of market value (USD Billion) data for each segment and sub-segment
- Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
- Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
- Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
- Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
- The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
- Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
- Provides insight into the market through Value Chain
- Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence In Genomics Market, By Offering
7.1. Artificial Intelligence In Genomics Market, by Offering, 2021-2027
7.1.1. Software
7.1.1.1. Market Revenue and Forecast (2016-2027)
7.1.2. Services
7.1.2.1. Market Revenue and Forecast (2016-2027)
Chapter 8. Global Artificial Intelligence In Genomics Market, By Technology
8.1. Artificial Intelligence In Genomics Market, by Technology, 2021-2027
8.1.1. Machine Learning
8.1.1.1. Market Revenue and Forecast (2016-2027)
8.1.2. Other Technologies
8.1.2.1. Market Revenue and Forecast (2016-2027)
Chapter 9. Global Artificial Intelligence In Genomics Market, By Functionality
9.1. Artificial Intelligence In Genomics Market, by Functionality, 2021-2027
9.1.1. Genome Sequencing
9.1.1.1. Market Revenue and Forecast (2016-2027)
9.1.2. Gene Editing
9.1.2.1. Market Revenue and Forecast (2016-2027)
9.1.3. Clinical Workflows
9.1.3.1. Market Revenue and Forecast (2016-2027)
9.1.4. Predictive Genetic Testing & Preventive Medicine
9.1.4.1. Market Revenue and Forecast (2016-2027)
Chapter 10.Global Artificial Intelligence In Genomics Market, By Application
10.1. Artificial Intelligence In Genomics Market, by Application, 2021-2027
10.1.1. Diagnostics
10.1.1.1. Market Revenue and Forecast (2016-2027)
10.1.2. Drug Discovery & Development
10.1.2.1. Market Revenue and Forecast (2016-2027)
10.1.3. Precision Medicine
10.1.3.1. Market Revenue and Forecast (2016-2027)
10.1.4. Agriculture & animal Research
10.1.4.1. Market Revenue and Forecast (2016-2027)
10.1.5. Other Applications
10.1.5.1. Market Revenue and Forecast (2016-2027)
Chapter 11.Global Artificial Intelligence In Genomics Market, By end user
11.1. Artificial Intelligence In Genomics Market, by end user, 2021-2027
11.1.1. Pharmaceutical & Biotech Companies
11.1.1.1. Market Revenue and Forecast (2016-2027)
11.1.2. Healthcare Providers
11.1.2.1. Market Revenue and Forecast (2016-2027)
11.1.3. Research Centers, Academic Institutes
11.1.3.1. Market Revenue and Forecast (2016-2027)
11.1.4. Government Organizations
11.1.4.1. Market Revenue and Forecast (2016-2027)
11.1.5. Other End Users
11.1.5.1. Market Revenue and Forecast (2016-2027)
Chapter 12.Global Artificial Intelligence In Genomics Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.1.2. Market Revenue and Forecast, by Coating (2016-2027)
12.1.3. Market Revenue and Forecast, by Technology (2016-2027)
12.1.4. Market Revenue and Forecast, by Texture (2016-2027)
12.1.5. Market Revenue and Forecast, by end user (2016-2027)
12.1.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.1.7. U.S.
12.1.7.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.1.7.2. Market Revenue and Forecast, by Coating (2016-2027)
12.1.7.3. Market Revenue and Forecast, by Technology (2016-2027)
12.1.7.4. Market Revenue and Forecast, by Texture (2016-2027)
12.1.8. Market Revenue and Forecast, by end user (2016-2027)
12.1.8.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.1.9. Rest of North America
12.1.9.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.1.9.2. Market Revenue and Forecast, by Coating (2016-2027)
12.1.9.3. Market Revenue and Forecast, by Technology (2016-2027)
12.1.9.4. Market Revenue and Forecast, by Texture (2016-2027)
12.1.10. Market Revenue and Forecast, by end user (2016-2027)
12.1.11. Market Revenue and Forecast, by Raw Material (2016-2027)
12.1.11.1.
12.2. Europe
12.2.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.2.2. Market Revenue and Forecast, by Coating (2016-2027)
12.2.3. Market Revenue and Forecast, by Technology (2016-2027)
12.2.4. Market Revenue and Forecast, by Texture (2016-2027)
12.2.5. Market Revenue and Forecast, by end user (2016-2027)
12.2.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.2.7.
12.2.8. UK
12.2.8.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.2.8.2. Market Revenue and Forecast, by Coating (2016-2027)
12.2.8.3. Market Revenue and Forecast, by Technology (2016-2027)
12.2.9. Market Revenue and Forecast, by Texture (2016-2027)
12.2.10. Market Revenue and Forecast, by end user (2016-2027)
12.2.10.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.2.11. Germany
12.2.11.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.2.11.2. Market Revenue and Forecast, by Coating (2016-2027)
12.2.11.3. Market Revenue and Forecast, by Technology (2016-2027)
12.2.12. Market Revenue and Forecast, by Texture (2016-2027)
12.2.13. Market Revenue and Forecast, by end user (2016-2027)
12.2.14. Market Revenue and Forecast, by Raw Material (2016-2027)
12.2.14.1.
12.2.15. France
12.2.15.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.2.15.2. Market Revenue and Forecast, by Coating (2016-2027)
12.2.15.3. Market Revenue and Forecast, by Technology (2016-2027)
12.2.15.4. Market Revenue and Forecast, by Texture (2016-2027)
12.2.16. Market Revenue and Forecast, by end user (2016-2027)
12.2.16.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.2.17. Rest of Europe
12.2.17.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.2.17.2. Market Revenue and Forecast, by Coating (2016-2027)
12.2.17.3. Market Revenue and Forecast, by Technology (2016-2027)
12.2.17.4. Market Revenue and Forecast, by Texture (2016-2027)
12.2.18. Market Revenue and Forecast, by end user (2016-2027)
12.2.18.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.3.2. Market Revenue and Forecast, by Coating (2016-2027)
12.3.3. Market Revenue and Forecast, by Technology (2016-2027)
12.3.4. Market Revenue and Forecast, by Texture (2016-2027)
12.3.5. Market Revenue and Forecast, by end user (2016-2027)
12.3.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.3.7. India
12.3.7.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.3.7.2. Market Revenue and Forecast, by Coating (2016-2027)
12.3.7.3. Market Revenue and Forecast, by Technology (2016-2027)
12.3.7.4. Market Revenue and Forecast, by Texture (2016-2027)
12.3.8. Market Revenue and Forecast, by end user (2016-2027)
12.3.9. Market Revenue and Forecast, by Raw Material (2016-2027)
12.3.10. China
12.3.10.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.3.10.2. Market Revenue and Forecast, by Coating (2016-2027)
12.3.10.3. Market Revenue and Forecast, by Technology (2016-2027)
12.3.10.4. Market Revenue and Forecast, by Texture (2016-2027)
12.3.11. Market Revenue and Forecast, by end user (2016-2027)
12.3.11.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.3.12. Japan
12.3.12.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.3.12.2. Market Revenue and Forecast, by Coating (2016-2027)
12.3.12.3. Market Revenue and Forecast, by Technology (2016-2027)
12.3.12.4. Market Revenue and Forecast, by Texture (2016-2027)
12.3.12.5. Market Revenue and Forecast, by end user (2016-2027)
12.3.12.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.3.13. Rest of APAC
12.3.13.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.3.13.2. Market Revenue and Forecast, by Coating (2016-2027)
12.3.13.3. Market Revenue and Forecast, by Technology (2016-2027)
12.3.13.4. Market Revenue and Forecast, by Texture (2016-2027)
12.3.13.5. Market Revenue and Forecast, by end user (2016-2027)
12.3.13.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.4.2. Market Revenue and Forecast, by Coating (2016-2027)
12.4.3. Market Revenue and Forecast, by Technology (2016-2027)
12.4.4. Market Revenue and Forecast, by Texture (2016-2027)
12.4.5. Market Revenue and Forecast, by end user (2016-2027)
12.4.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.4.7. GCC
12.4.7.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.4.7.2. Market Revenue and Forecast, by Coating (2016-2027)
12.4.7.3. Market Revenue and Forecast, by Technology (2016-2027)
12.4.7.4. Market Revenue and Forecast, by Texture (2016-2027)
12.4.8. Market Revenue and Forecast, by end user (2016-2027)
12.4.9. Market Revenue and Forecast, by Raw Material (2016-2027)
12.4.10. North Africa
12.4.10.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.4.10.2. Market Revenue and Forecast, by Coating (2016-2027)
12.4.10.3. Market Revenue and Forecast, by Technology (2016-2027)
12.4.10.4. Market Revenue and Forecast, by Texture (2016-2027)
12.4.11. Market Revenue and Forecast, by end user (2016-2027)
12.4.12. Market Revenue and Forecast, by Raw Material (2016-2027)
12.4.13. South Africa
12.4.13.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.4.13.2. Market Revenue and Forecast, by Coating (2016-2027)
12.4.13.3. Market Revenue and Forecast, by Technology (2016-2027)
12.4.13.4. Market Revenue and Forecast, by Texture (2016-2027)
12.4.13.5. Market Revenue and Forecast, by end user (2016-2027)
12.4.13.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.4.14. Rest of MEA
12.4.14.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.4.14.2. Market Revenue and Forecast, by Coating (2016-2027)
12.4.14.3. Market Revenue and Forecast, by Technology (2016-2027)
12.4.14.4. Market Revenue and Forecast, by Texture (2016-2027)
12.4.14.5. Market Revenue and Forecast, by end user (2016-2027)
12.4.14.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.5.2. Market Revenue and Forecast, by Coating (2016-2027)
12.5.3. Market Revenue and Forecast, by Technology (2016-2027)
12.5.4. Market Revenue and Forecast, by Texture (2016-2027)
12.5.5. Market Revenue and Forecast, by end user (2016-2027)
12.5.6. Market Revenue and Forecast, by Raw Material (2016-2027)
12.5.7. Brazil
12.5.7.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.5.7.2. Market Revenue and Forecast, by Coating (2016-2027)
12.5.7.3. Market Revenue and Forecast, by Technology (2016-2027)
12.5.7.4. Market Revenue and Forecast, by Texture (2016-2027)
12.5.8. Market Revenue and Forecast, by end user (2016-2027)
12.5.8.1. Market Revenue and Forecast, by Raw Material (2016-2027)
12.5.9. Rest of LATAM
12.5.9.1. Market Revenue and Forecast, by Vehicle (2016-2027)
12.5.9.2. Market Revenue and Forecast, by Coating (2016-2027)
12.5.9.3. Market Revenue and Forecast, by Technology (2016-2027)
12.5.9.4. Market Revenue and Forecast, by Texture (2016-2027)
12.5.9.5. Market Revenue and Forecast, by end user (2016-2027)
12.5.9.6. Market Revenue and Forecast, by Raw Material (2016-2027)
Chapter 13. Company Profiles
13.1. IBM (US)
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Microsoft (US)
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. NVIDIA Corporation (US)
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Deep Genomics (Canada)
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. BenevolentAI (UK)
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Fabric Genomics Inc. (US)
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Verge Genomics (US)
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Freenome Holdings, Inc. (US)
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. MolecularMatch Inc. (US)
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Cambridge Cancer Genomics (UK)
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
13.11. SOPHiA GENETICS (US)
13.11.1. Company Overview
13.11.2. Product Offerings
13.11.3. Financial Performance
13.11.4. Recent Initiatives
13.12. Data4Cure Inc. (US)
13.12.1. Company Overview
13.12.2. Product Offerings
13.12.3. Financial Performance
13.12.4. Recent Initiatives
13.13. PrecisionLife Ltd (UK)
13.13.1. Company Overview
13.13.2. Product Offerings
13.13.3. Financial Performance
13.13.4. Recent Initiatives
13.14. Genoox Ltd. (US)
13.14.1. Company Overview
13.14.2. Product Offerings
13.14.3. Financial Performance
13.14.4. Recent Initiatives
13.15. Lifebit (UK)
13.15.1. Company Overview
13.15.2. Product Offerings
13.15.3. Financial Performance
13.15.4. Recent Initiatives
13.16. Diploid (Belgium)
13.16.1. Company Overview
13.16.2. Product Offerings
13.16.3. Financial Performance
13.16.4. Recent Initiatives
13.17. FDNA Inc. (US)
13.17.1. Company Overview
13.17.2. Product Offerings
13.17.3. Financial Performance
13.17.4. Recent Initiatives
13.18. FDNA Inc. (US)
13.18.1. Company Overview
13.18.2. Product Offerings
13.18.3. Financial Performance
13.18.4. Recent Initiatives
13.19. Empiric Logic (Ireland)
13.19.1. Company Overview
13.19.2. Product Offerings
13.19.3. Financial Performance
13.19.4. Recent Initiatives
13.20. Engine Biosciences Pte. Ltd. (US)
13.20.1. Company Overview
13.20.2. Product Offerings
13.20.3. Financial Performance
13.20.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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