![]() |
市場調査レポート
商品コード
1630667
遺伝子発現解析市場規模、シェア、成長分析、製品別、プロセス別、容量別、手法別、用途別、地域別 - 産業予測、2025-2032年Gene Expression Analysis Market Size, Share, Growth Analysis, By Product (Reagents & Consumables, Instruments), By Process (Sample Collection, Purification), By Capacity, By Technique, By Application, By Region - Industry Forecast 2025-2032 |
||||||
|
遺伝子発現解析市場規模、シェア、成長分析、製品別、プロセス別、容量別、手法別、用途別、地域別 - 産業予測、2025-2032年 |
出版日: 2025年01月09日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
|
遺伝子発現解析の世界市場規模は2023年に48億米ドルと評価され、2024年の52億米ドルから2032年には99億2,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは8.4%で成長する見通しです。
世界の遺伝子発現解析市場は、個別化医療と精密治療に対する需要の高まりに後押しされ、大きく成長する見通しです。この市場は、臨床医が特定の疾患に関連する固有の遺伝子シグネチャーを特定することを可能にし、それによって標的治療を促進します。次世代シーケンサー(NGS)とマイクロアレイ技術の進歩により、解析の効率とコスト効率が向上し、研究者は膨大なデータセットを管理し、主要な遺伝子制御ネットワークを明らかにすることができるようになりました。がんや心血管疾患などの慢性疾患の罹患率の増加により、バイオマーカー探索や治療開発における遺伝子発現解析の必要性が高まっています。しかし、複雑なデータ解釈、熟練したバイオインフォマティクスの専門家の不足、技術利用の高コストといった課題は、市場の可能性を最適化し、あらゆる場面での幅広い採用を保証するために対処される必要があります。
Global Gene Expression Analysis Market size was valued at USD 4.8 billion in 2023 and is poised to grow from USD 5.2 billion in 2024 to USD 9.92 billion by 2032, growing at a CAGR of 8.4% during the forecast period (2025-2032).
The global gene expression analysis market is poised for significant growth, fueled by the rising demand for personalized medicine and precision therapies. This market enables clinicians to identify unique gene signatures linked to specific diseases, thereby facilitating targeted treatments. Advances in next-generation sequencing (NGS) and microarray technologies have made analysis more efficient and cost-effective, allowing researchers to manage extensive datasets and uncover key gene regulatory networks. The increasing incidence of chronic diseases, such as cancer and cardiovascular disorders, heightens the need for gene expression analysis in biomarker discovery and therapeutic development. However, challenges like complex data interpretation, a shortage of skilled bioinformatics professionals, and the high costs of technology utilization must be addressed to optimize market potential and ensure broader adoption across settings.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Gene Expression Analysis market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Gene Expression Analysis Market Segmental Analysis
Global Gene Expression Analysis Market is segmented by Product, Process, Capacity, Technique, Application and region. Based on Product, the market is segmented into Reagents & Consumables, Instruments and Service. Based on Process, the market is segmented into Sample Collection, Purification, cDNA synthesis & conversion, PCR Analysis, Data analysis & interpretation and Others. Based on Capacity, the market is segmented into Low- to Mid- Plex and High-Plex. Based on Technique, the market is segmented into RNA Expression, Promoter Analysis and Protein Expression & Posttranslational Modification Analysis. Based on Application, the market is segmented into Drug Discovery & Development, Clinical Diagnostics, Biotech & Microbiology and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Gene Expression Analysis Market
The Global Gene Expression Analysis market is significantly propelled by the escalating incidence of chronic diseases such as cancer, cardiovascular issues, and neurological disorders. This trend underscores the necessity of gene expression analysis as it facilitates a deeper understanding of the molecular mechanisms associated with these conditions. Such insights are essential for enabling early diagnosis, enhancing treatment strategies, and advancing drug discovery efforts. Consequently, the growing need for innovative diagnostic and therapeutic solutions to combat these widespread health challenges is fostering a robust demand for gene expression analysis technologies in the market, ultimately driving its expansion and evolution.
Restraints in the Global Gene Expression Analysis Market
The Global Gene Expression Analysis market faces several restraints, primarily stemming from ethical and regulatory challenges. Concerns regarding the ethical use of genomic data, along with stringent regulations surrounding data privacy and protection, can hinder market growth. Adhering to data privacy laws, obtaining informed consent, and aligning research practices with ethical standards for managing patient information present significant obstacles for both researchers and companies in the gene expression analysis sector. As a result, the complexities associated with compliance may slow innovation and implementation within the market, ultimately impacting its overall development and expansion.
Market Trends of the Global Gene Expression Analysis Market
The Global Gene Expression Analysis market is increasingly dominated by the trend of single-cell gene expression analysis, driven by advancements in microfluidics, isolation methods, and sequencing technologies. This innovative approach empowers researchers to delve into cellular heterogeneity, identify rare cell populations, and observe dynamic gene expression changes at the individual cell level. This granular understanding is crucial for applications across developmental biology, cancer research, and precision medicine, enhancing drug discovery and therapeutic strategies. As the demand for more precise genetic insights continues to grow, the single-cell analysis segment is poised to significantly influence the market landscape in the coming years.