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351092

計算醫學及藥物研發軟體市場分析(2020～2025)

Computational Medicine And Drug Discovery Software Market - Forecast (2020 - 2025)

出版日期: 2020年03月11日 | 出版商:

IndustryARC | 英文 110 Pages | 商品交期: 2-3個工作天內

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簡介
目錄

簡介

計算醫學及藥物研發市場，2017年是58億8000萬美金。這個市場，從2017年到2023年之間，預計以5.1％的年複合成長率成長，生物資訊學的進步，和疾病數的增加，各種藥物研發的發現，成為其成長的原動力。生物資訊學，為了開發癌症和其他遺傳性疾病等慢性疾病的更佳治療方法，整合大規模的資料集，使分析成為可能。

本報告提供全球計算醫學及藥物研發軟體市場現狀與今後的市場成長預測，各工具，各用途趨勢，各地區分析，以及打入市場的主要企業的簡介彙整。

第1章計算醫學及藥物研發軟體市場 - 概要

定義和範圍

第2章計算醫學與藥物研發軟體市場 - 摘要整理

第3章計算醫學及藥物研發軟體市場

比較分析
- 產品基準 - 前十大企業
- 前五名公司的財務分析
- 前十大企業的市場銷售額
- 專利分析 - 前十大企業
- 價格分析

第4章計算醫學及藥物研發軟體市場力學

促進因素
阻礙因素
課題
波特的五力分析

第5章計算醫學及藥物研發軟體市場 - 策略性分析

價值鏈分析
市場機會分析
產品的生命週期
供應商和經銷商的市場佔有率

第6章計算醫學及藥物研發軟體市場 - 各工具

市場規模與市場佔有率分析
各用途的收益與趨勢調查
產品市場區隔分析

第7章計算醫學及藥物研發軟體市場 - 各用途

簡介
計算物理醫學
藥物研發與開發
醫療影像處理
疾病建模
藥物標的的預測分析
細胞模擬
模擬軟體
基因學
蛋白質體學
分子生物學
基因表現分析
其他

第8章計算醫學及藥物研發軟體 - 各地區

北美
南美
歐洲
亞太地區

第9章市場熵

新產品的銷售
合併、收購，聯合，聯盟，合資企業

第10章場企業分析

第11章附錄

Product Code: HCR 0016

The computational medicine and drug discovery market is poised to grow at a CAGR of 5.1% during 2017-23 and was valued at $5.88 billion in 2017. The growth will be driven by advancement in bioinformatics and various drug discoveries due to the increase in number of diseases. Bioinformatics has made it possible to integrate and analyze large datasets in developing better treatment for chronic diseases such as cancer and other genetic disorders. Computational physiology medicine attained a revenue of $897 million in 2017. North American region dominates the computational medicine and drug discovery market and generated a revenue of $2,882.9 million and is estimated to rise with a CAGR of 3.7% during 2017-2023.

What is Computational Medicine and Drug Discovery?

Computational Medicine involves a combination of mathematics, engineering and computer science. It is an emerging field which is devoted to develop for understanding the mechanisms, diagnosis and treatment of human disease. The main aim of this field is to develop computational models for molecular biology, physiology, and anatomy of disease, and apply these models to improve patient care.

Drug discovery is process through which new medicines have been discovered. It includes various disciples such as biology, chemistry and pharmacology. Drug discovery is a process which involves the identification of drug target, synthesis, characterization, screening, and assays for therapeutic efficacy.

What are the applications of Computational Medicine and Drug Discovery Software?

Computational medicine and drug discovery software play an important role in the development drugs for various diseases such as cancer and other genetic disorders. Computational medicine also helps to detect the fault in the genes and thus helps to predict the cause of the disease. It is widely used disease monitoring and medical imaging and personalized medicine. Computational medicine and drug discovery software are used to understand the protein - protein interactions as well as protein - ligand interactions which makes it easier to find the drug target.

Computational Medicine and Drug Discovery Software Market

Market Research and Market Trends of Computational Medicine and Drug Discovery Software:

Nvidia is strategically shifting its focus from computer hardware industry to healthcare industry. It has partnered with companies like GE, Mayo Clinic and Nuance healthcare to define the workflow. They have been developing a computational software which would aid to virtualize all the hospital work and all the different instruments. These computational approaches hold a promise to improve the image quality and help the doctor to predict the diseases which would otherwise take time. They are also focused on developing deep learning in genomics and drug discovery and make way towards personalized medicine.

Fujitsu Laboratories Ltd. and Fujitsu Limited announced the development of molecular simulation technology for drug discovery. This development can accurately estimate binding affinity between the target protein and the chemical substance which helps to predict the drug's efficiency. This technique also estimates the degree of torsion in a chemical substance as well as the impact of neighboring atoms and thus will help in the development of new targeted therapies.

Researchers from KAIST, Korea developed DeepDDI, a computational framework that accurately predicts and generates 86 types of drug-drug and drug-food interactions. These interactions can help us to predict unexpected pharmacological effects such as adverse drug events (ADEs) and other unknown mechanisms. However, the current prediction methods do not provide detailed drug interactions.

In February 2018, Roche acquired oncology tech company Flatiron Health in order to implement the use of artificial intelligence as another tool to facilitate drug discovery and help the company progress. This acquisition with Flatrion Health provided the required technology and data analytics needed for Roche as well as oncology research and development across the industry.

Who are the Major Players in Computational Medicine and Drug Discovery Software market?

The companies referred in the market research report are Compugen Ltd., Certara, L.P., Dassault Systemes, Schrodinger LLC, Genedata AG and several others.

What is our report scope?

The report incorporates in-depth assessment of the competitive landscape, product market sizing, product benchmarking, market trends, product developments, financial analysis, strategic analysis and so on to gauge the impact forces and potential opportunities of the market. Apart from this the report also includes a study of major developments in the market such as product launches, agreements, acquisitions, collaborations, mergers and so on to comprehend the prevailing market dynamics at present and its impact during the forecast period 2018-2023.

All our reports are customizable to your company needs to a certain extent, we do provide 20 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report to your needs.

Key Takeaways from this Report

Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level - for product types, end use applications and by different industry verticals.

Understand the different dynamics influencing the market - key driving factors, challenges and hidden opportunities.

Get in-depth insights on your competitor performance - market shares, strategies, financial benchmarking, product benchmarking, SWOT and more.

Analyze the sales and distribution channels across key geographies to improve top-line revenues.

Understand the industry supply chain with a deep-dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes.

Get a quick outlook on the market entropy - M&A's, deals, partnerships, product launches of all key players for the past 4 years.

Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the market.

1. Computational Medicine And Drug Discovery Software Market - Overview

1.1. Definitions and Scope

2. Computational Medicine And Drug Discovery Software Market - Executive summary

2.1. Market Revenue, Market Size and Key Trends by Company
2.2. Key Trends by type of Application
2.3. Key Trends segmented by Geography

3. Computational Medicine And Drug Discovery Software Market

3.1. Comparative analysis

3.1.1. Product Benchmarking - Top 10 companies
3.1.2. Top 5 Financials Analysis
3.1.3. Market Value split by Top 10 companies
3.1.4. Patent Analysis - Top 10 companies
3.1.5. Pricing Analysis

4. Computational Medicine And Drug Discovery Software Market Forces

4.1. Drivers
4.2. Constraints
4.3. Challenges
4.4. Porters five force model

4.4.1. Bargaining power of suppliers
4.4.2. Bargaining powers of customers
4.4.3. Threat of new entrants
4.4.4. Rivalry among existing players
4.4.5. Threat of substitutes

5. Computational Medicine And Drug Discovery Software Market -Strategic analysis

5.1. Value chain analysis
5.2. Opportunities analysis
5.3. Product life cycle
5.4. Suppliers and distributors Market Share

6. Computational Medicine And Drug Discovery Software Market - By Tools (Market Size -$Million / $Billion)

6.1. Market Size and Market Share Analysis
6.2. Application Revenue and Trend Research
6.3. Product Segment Analysis

6.3.1. Introduction
6.3.2. Database
6.3.3. Software
6.3.4. Others

7. Computational Medicine And Drug Discovery Software Market - By Application (Market Size -$Million / $Billion)

7.1. Introduction
7.2. Computational Physiological Medicine
7.3. Drug Discovery and Development
7.4. Medical Imaging
7.5. Disease Modeling
7.6. Predictive Analysis of Drug Targets
7.7. Cellular Simulation
7.8. Simulation Software
7.9. Genomics
7.10. Proteomics
7.11. Molecular Biology
7.12. Gene expression analysis
7.13. Others

8. Computational Medicine And Drug Discovery Software - By Geography (Market Size -$Million / $Billion)

8.1. Computational Medicine And Drug Discovery Software Market - North America Segment Research
8.2. North America Market Research (Million / $Billion)

8.2.1. Segment type Size and Market Size Analysis
8.2.2. Revenue and Trends
8.2.3. Application Revenue and Trends by type of Application
8.2.4. Company Revenue and Product Analysis
8.2.5. North America Product type and Application Market Size

8.2.5.1. U.S.
8.2.5.2. Canada
8.2.5.3. Mexico
8.2.5.4. Rest of North America

8.3. Computational Medicine And Drug Discovery Software - South America Segment Research
8.4. South America Market Research (Market Size -$Million / $Billion)