RNA analysis transcriptomics market
Medical Equipment

RNA Analysis Transcriptomics Market Forecast 2023-2027 By The Business Research Company

The Business Research Company’s global market reports are now updated with the latest market sizing information for the year 2023 and forecasted to 2032

The Business Research Company’s RNA analysis transcriptomics market report forecasts the RNA analysis transcriptomics market size to grow to $11.33 Billion by 2027, with a CAGR (compound annual growth rate) of more than 13%.

Learn More On The RNA Analysis Transcriptomics Market Report 2023 – https://www.thebusinessresearchcompany.com/report/rna-analysis-transcriptomics-global-market-report

RNA Analysis Transcriptomics Market Size Forecast
The global RNA analysis transcriptomics market is expected to grow from $5.96 billion in 2022 to $6.76 billion in 2023 at a compound annual growth rate (CAGR) of 13.4%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The RNA analysis transcriptomics market size is expected to grow to $11.33 billion in 2027 at a CAGR of 13.8%.

North America held the largest RNA analysis transcriptomics market share.

Key RNA Analysis Transcriptomics Market Driver ­– Increase In Demand For Personalized Medicine
According to the Personalized Medicine Report 2020 published by the Personalized Medicine Coalition (PMC), the number of personalized medicines in the market more than doubled between 2016 and 2020 in the USA. Therefore, the growing demand for personalized medicines propels the growth of the RNA analysis market.

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Key RNA Analysis Transcriptomics Market Trend – Technological Advancements And Innovations In RNA Analysis
Technologies such as next-generation sequencing (NGS) and RNA interference (RNAi) improved precision and accuracy, which help researchers analyze the transcriptional activity. For instance, Next-generation sequencing developed by Illumina is successfully used in fragmenting DNA/RNA into multiple pieces, adding adapters, sequencing the libraries, and reassembling them to form a genomic sequence.

RNA Analysis Transcriptomics Market Segment
1) By Product: Reagents/Consumables, Instruments, Software
2) By Technology, Microarrays, Sequencing, Polymerase Chain Reaction RNA Interference
3) By Application: Clinical Diagnostics, Drug Discovery, Toxicogenomics, Comparative Transcriptomics, RNA Interference

RNA Analysis Transcriptomics Market Major Players and Strategies
Major players in the RNA analysis transcriptomics market are Affymetrix Inc., Agilent Technologies Inc., Bio-Rad Laboratories Inc., GE Healthcare, Illumina Inc., Qiagen N.V., F. Hoffmann-La Roche Ltd., Sigma-Aldrich Corporation, Thermo Fisher Scientific Inc., Fluidigm Corporation, Promega Corporation, and Biomereiux SA.

In October 2020, 10x Genomics, a startup based in the USA acquired Cartana for an amount of $41.2 million. The acquisition of Cartana is expected to strengthen its approach to developing technologically advanced products. Cartana is a Sweden-based biotechnology player involved in developing in situ RNA analysis technology.

The RNA Analysis Transcriptomics Global Market Report 2023 covers regional data on RNA analysis transcriptomics market size, RNA analysis transcriptomics market trends and drivers, opportunities, strategies, and RNA analysis transcriptomics market competitor analysis. The countries covered in the RNA analysis transcriptomics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA, and the major seven regions are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

Transcriptomics/RNA analysis is a study of the transcriptome under specific circumstances, environment, or in a specific cell using high-throughput methods.

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