Factors such as increasing public-private sector funding for bioinformatics services, the shortage of skilled bioinformatics professionals leading to increased outsourcing of biofinformatics projects, and growing applications of bioinformatics in various industries are expected to drive the growth of the bioinformatics services market.

The global bioinformatics services market is expected to reach USD 3.53 billion by 2023 from USD 1.70 billion in 2018, at a CAGR of 15.7% during the forecast period.

Bioinformatics Services Market by Type (Microbiome, Transcriptome, Virtual Screening, Database Management), Specialty (Medical, Forensics), Application (Proteomics, Metabolomics), End User (Academia, Pharma) – Global Forecast to 2023

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Global Bioinformatics Services Market is Segmented on:

1. Type
2. Specialty
3. Application
4. End User

Type

On the basis of type, the bioinformatics services market is divided into sequencing services, data analysis services, drug discovery services, differential gene expression analysis, database management services, and other services. The sequencing services segment is further classified into whole genome sequencing and de novo assembly, exome analysis, transcriptome analysis, metagenomic analysis, ChIP-Seq analysis, and other sequencing analysis, whereas data analysis services segment is classified into data mining, genomic analysis, proteomic analysis, and variant annotation and discovery.

Application

The bioinformatics services market, by application, is segmented into genomics, chemoinformatics & drug design, proteomics, transcriptomics, metabolomics, and other applications. The significant growth of the segment is attributed to the rising demand for more efficient data management facilities and the increasing number of research studies for the treatment of cancer using transcriptomics.

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The geographical regions mapped in the report are:
1. North America
2. Europe
3. Asia-Pacific (APAC)
4. Rest of the World (RoW)

Geographical Growth Analysis:

This report covers the bioinformatics services market data across four major geographies, namely, North America, Europe, Asia Pacific, and the Rest of the World (RoW). North America accounted for the largest share of the global bioinformatics services market in 2017, followed by Europe. The large share of the North American region is mainly attributed to the presence of leading bioinformatics service providers in the region, decreasing cost of sequencing, increasing number of genomic research activities in the region, high incidence of target diseases (such as cancer and genetic diseases), and favorable funding scenario for bioinformatics-based research.

Some key players mentioned in the research report are:

Illumina (US), Thermo Fisher Scientific (US), Eurofins Scientific (Luxembourg), BGI (China) dominated the market. Other players in the market are NeoGenomics (US), PerkinElmer (US), CD Genomics (US), Macrogen (South Korea), QIAGEN (Germany), GENEWIZ (US), Source BioScience (UK), Microsynth (Switzerland), MedGenome (India), Fios Genomics (UK), and BaseClear (Netherlands), among others.

A database management system ( DBMS) is a software package designed to define, manipulate, retrieve and manage data in a database. A DBMS generally manipulates the data itself, the data format, field names, record structure and file structure. It also defines rules to validate and manipulate this data.
A DBMS relieves users of framing programs for data maintenance. Fourth-generation query languages, such as SQL, are used along with the DBMS package to interact with a database.

Some other DBMS examples include:
· FoxPro
· MySQL
· Oracle
· dBASE
· SQL Server

Advantages of the database management system (DBMS)

1. Better data integration – wider access to well- managed data promotes an integrated view of the organization’s operations and a clearer view of the big picture. It becomes much easier to see how actions in one segment of the company affect other segments.
2. Improved data sharing – An advantage of the database management approach is, the DBMS helps to create an environment in which end users have better access to more and better-managed data. Such access makes it possible for end-users to respond quickly to changes in their environment.
3. Data security – Data security is a vital concept in a database. Only authorized users should be allowed to access the database and their identity should be authenticated using a username and password. Unauthorized users should not be allowed to access the database under any circumstances as it violates the integrity constraints.
4. Privacy – The privacy rule in a database means only the authorized users can access a database according to its privacy constraints. There are levels of database access and a user can only view the data he is allowed to. For example – in social networking sites, access constraints are different for different accounts a user may want to access.
5. Reducing Data Redundancy - The file-based data management systems contained multiple files that were stored in many different locations in a system or even across multiple systems. Because of this, there were sometimes multiple copies of the same file which lead to data redundancy.
6. Data consistency – Data consistency is ensured in a database because there is no data redundancy. All data appears consistently across the database and the data is the same for all the users viewing the database. Moreover, any changes made to the database are immediately reflected all the users and there is no data consistency.
7. Backup and Recovery – Database management system automatically takes care of backup and recovery. The users don’t need to backup data periodically because this is taken care of by the DBMS. Moreover, it also restores the database after a crash or system failure to its previous condition.

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The Database management system users list is a comprehensive data that is obtained from tradeshows, technology conferences, and other channels where it is easier to find the relevant audience interested in purchasing DBMS solutions for cataloging, fetching, and running data queries. 

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