En el campo de la investigación de fármacos , la biosimulación es cada vez más importante. La biosimulación puede utilizarse para predecir si un posible fármaco fracasará en el proceso de desarrollo, como los ensayos clínicos , debido a efectos secundarios indeseables, una farmacocinética deficiente o incluso toxicidad, dado que solo el 11% de todos los fármacos candidatos son aprobados. La predicción temprana de si un medicamento fracasará en animales o en personas sería fundamental para reducir los gastos de desarrollo de fármacos, así como el número de pruebas con animales y ensayos clínicos necesarios. La biosimulación se centra en proporcionar predicciones basadas en modelos del comportamiento y la dinámica de los sistemas biológicos . El enorme aumento del gasto en I+D de las empresas farmacéuticas y biotecnológicas puede atribuirse a la expansión del mercado mundial de la biosimulación. Además, el elevado coste de volver a realizar los ensayos clínicos como resultado de la alta tasa de fracasos en los ensayos clínicos de fase III fomenta el uso de la biosimulación en el descubrimiento y desarrollo de fármacos, lo que promueve el crecimiento del mercado.
Durante las últimas décadas, se han producido grandes avances en varios sectores de la industria médica como resultado de los avances tecnológicos y las actividades de investigación. En los últimos años, el desarrollo de tratamientos innovadores para diversas enfermedades y trastornos médicos ha cambiado de rumbo, lo que ha dado lugar a una demanda sin precedentes de biosimulación, un factor que se prevé que impulse el crecimiento del mercado de la biosimulación durante el período de evaluación. La biosimulación se utiliza en el descubrimiento y desarrollo de fármacos para diversos fines, entre los que se incluyen la identificación y validación de objetivos, la optimización de los fármacos y las pruebas preclínicas de nuevos fármacos.
| ATRIBUTO | DETALLES |
| Periodo de estudio | 2020-2029 |
| Año base | 2021 |
| Año estimado | 2022 |
| Año pronosticado | 2022-2029 |
| Periodo histórico | 2018-2020 |
| Unidad | Valor (miles de millones de USD) |
| Segmentación | Por producto, por aplicación, por entrega, por usuario final y por región |
| Por producto |
|
| Por aplicación |
|
| Por entrega |
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| Por el usuario final |
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| By Region |
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The recording, annotation, storage, analysis, and retrieval of nucleic acid sequence, protein sequence, and structural information are all covered by biosimulation. It has a variety of uses in health and biology, including molecular medications, preventive medicine, gene therapy, drug development, biotechnology, and microbial forensic investigation. It's also employed in genetics and genomic research. The global biosimulation market is predicted to develop significantly in the near future, owing to an increase in demand for integrated data, a rise in demand for nucleic acid and protein sequencing due to lower sequencing costs, and an increase in proteomics and genomics applications. Moreover, drug research and development, as well as government and private-sector activities, are likely to drive market expansion over the projection period. The demand for integrated biosimulation systems in proteomics and genomics is also driving the biosimulation market forward.
A new drug's development requires a significant quantity of research and resources. Every stage of the medication development process, from clinical trials through approval, has a significant risk of failure. Biosimulation can considerably lower these odds. Biosimulation not only aids in the prediction of medication failure throughout the development phase, but it also lowers the expense of any other potential failures by reducing the number of clinical trials required. Pharmaceutical companies (such as Pfizer, Merck, Novartis, and Johnson Pharmaceutical Research & Development) and research firms (such as Johnson Pharmaceutical Research & Development) have been using biosimulation software and service providers to reduce the length of trials and the high costs associated with failures.
Furthermore, the market's growth is expected to be fueled by the clinical urgency to produce high-potency and sophisticated medications. Biosimulation is being more widely used in disease simulation modelling, such as diabetes mellitus. Models for advanced therapies are developed using it in conjunction with proteomic and genomic technology. As a result of ongoing technology developments and software upgrades, researchers' interest in biosimulation is projected to expand. This is expected to provide the market a significant lift. Technical advancements include microarrays and prediction models, to name a few. Semantic systems that enable a restricted number of biosimulation elements have also been developed, decreasing the time, cost, and complexity of the entire process.
La biosimulación captura y procesa diversos aspectos de los procesos biológicos utilizando una variedad de modelos, herramientas y lenguajes. Los métodos de modelado actuales no logran capturar la semántica fundamental de los modelos de biosimulación, lo que dificulta la construcción, reutilización, composición y fusión de modelos de biosimulación diversos y complicados. El uso de tecnología in silico o de biosimulación en el proceso de investigación o desarrollo de medicamentos aún no ha sido estandarizado por las agencias reguladoras. La capacidad de cómputo de los investigadores biomédicos para construir y operar sistemas de biosimulación sofisticados ha aumentado como resultado de los recientes desarrollos tecnológicos. Por otro lado, los investigadores encuentran más difícil comunicar, administrar y cambiar sus modelos a medida que sus modelos y simulaciones se vuelven más complicados. La falta de estándares escalables para la representación y reutilización de modelos exacerba el desafío de compartir modelos biomédicos sofisticados. Como resultado, muchos desarrolladores de modelos no pueden intercambiar y construir nuevos modelos basados en modelos existentes. Esta debilidad de la biosimulación solo se puede abordar mediante el desarrollo de un modelo de representación sistemático basado en estándares que pueda expresar de manera inequívoca los datos de biosimulación en formatos legibles tanto para humanos como para máquinas. Como resultado, la comunidad de biosimulación necesita desesperadamente herramientas que les ayuden a construir, gestionar y reutilizar sus modelos de forma más eficiente.
Biosimulation market size was valued at USD 2.21 billion in 2020 and is projected to reach USD 8.27 billion by 2029, growing at a CAGR of 15.8% from 2022 to 2029.
North America held more than 44% of the Biosimulation market revenue share in 2021 and will witness expansion in the forecast period.
In recent years, the development of breakthrough treatments for a number of medical diseases and disorders has shifted gears, resulting in unprecedented demand for biosimulation– a factor that is projected to boost the biosimulation market's growth during the assessment period. Biosimulation is utilised in drug discovery and development for a variety of purposes, including target identification and validation, lead optimization, and pre-clinical testing of new drugs.
Certara, Simulations Plus Inc, Dassault Systèmes, Schrödinger, ACD/Labs, Chemical Computing Group, Physiomics, Evidera, InSilico Biosciences, INOSIM Software, Insilico Biotechnology, LeadInvent Technologies, Rosa, Nuventra Pharma, and Genedata are some of the major players in the market that are dominating the market
The leading application of Biosimulation market in 2020 was pharmaceutical market segment. It has the biggest market share.
North America held the largest market share of Biosimulation market.
The market is broadly segmented into product, application, delivery, end user and region. Based on product & service, the biosimulation market is segmented into software and services. The biosimulation software segment is expected to account for the largest market share. The increasing usage of biosimulation software by pharmaceutical and research firms, as well as increased R&D investment for pharmaceutical research, are driving this segment's rapid rise.
Based on end user, research institutes, pharmaceutical and biotechnology businesses, contract research organisations (CROs), regulatory authorities, and other end users make up the biosimulation market (consulting firms, defence research and development organizations, nutraceutical companies, and food and agricultural companies). Pharmaceutical and biotechnology firms are likely to account for the greatest share, with the highest CAGR throughout the forecast period. Increased pharmaceutical and biotechnology R&D spending, as well as increased adoption of inorganic development strategies by various biosimulation service providers, are expected to drive biosimulation solutions adoption in the pharmaceutical and biotechnology industries.
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The global biosimulation market by region includes North America, Asia-Pacific (APAC), Europe, South America, and Middle East & Africa (MEA).
With a market share of 44 percent in 2021, North America dominated the biosimulation market. Growth in the biotechnology and pharmaceutical industries, a significant number of active drug development processes, growing usage of personalised medicine, and higher R&D expenditure by pharmaceutical and biotechnology businesses are all contributing to the North American market's dominance.
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