市場調査レポート
商品コード
1373857
単一細胞解析の世界市場 (2023-2030年):タイプ (フローサイトメトリー・NGS)・用途 (研究・臨床) 別の規模・シェア・成長分析・予測Global Single Cell Analysis Market Size, Share, Growth Analysis, By Type(Flow Cytometry, Next-Generation Sequencing (NGS)), By Application(Research Applications, Clinical Applications) - Industry Forecast 2023-2030 |
単一細胞解析の世界市場 (2023-2030年):タイプ (フローサイトメトリー・NGS)・用途 (研究・臨床) 別の規模・シェア・成長分析・予測 |
出版日: 2023年10月21日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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世界の単一細胞解析の市場規模は、2021年の27億9,000万米ドル、2022年の32億3,000万米ドルから、予測期間中は15.6%のCAGRで推移し、2030年には102億9,000万米ドルの規模に成長すると予測されています。
世界の単一細胞解析の市場は著しい成長を遂げており、今後数年でさらに拡大する見通しです。この分野は、癌研究、免疫学、神経科学、幹細胞生物学など、さまざまな領域で大きく重要性を増しています。市場の成長を支える主な要因の一つは、個別化医療に対する需要の高まりです。ゲノミクスと分子生物学の進歩に伴い、組織や生物内の個々の細胞が多様な特性や反応を示す可能性があることが認識されつつあります。この理解により、標的療法や精密医療へのシフトが進み、単一細胞を解析することで、個々の患者に合わせた治療を行うための重要な情報が得られるようになりました。個々の細胞を解析する能力は、疾患特異的バイオマーカーの同定、疾患進行の理解、効果的な治療介入の開発に役立ちます。これらのことから、単一細胞解析の技術やソリューションに対する市場需要が高まっています。フローサイトメトリー、次世代シークエンシング、マスサイトメトリー、シングルセルPCRなどの技術はこの分野に革命をもたらし、細胞の特性や機能を高解像度で解析できるようになっています。
単一細胞解析市場の主要動向の一つは、空間トランスクリプトミクスの利用の増加です。空間トランスクリプトミクスは、研究者が組織全体の遺伝子発現パターンを可視化し、分析することを可能にする技術です。この情報は、細胞のタイプやサブタイプを特定したり、細胞同士がどのように相互作用しているかを理解するために使用することができます。
当レポートでは、世界の単一細胞解析の市場を調査し、市場概要、市場への各種影響因子の分析、技術・イノベーションの動向、法規制環境、市場規模の推移・予測、各種区分・地域別の内訳、競合情勢、主要企業のプロファイルなどをまとめています。
Global Single Cell Analysis Market size was valued at USD 2.79 billion in 2021 and is poised to grow from USD 3.23 billion in 2022 to USD 10.29 billion by 2030, growing at a CAGR of 15.6% in the forecast period (2023-2030).
The global single cell analysis market is experiencing significant growth and is poised to expand even further in the coming years. This field has gained immense importance in various domains such as cancer research, immunology, neuroscience, and stem cell biology. One of the key drivers behind the growth of the global single cell analysis market is the increasing demand for personalised medicine. With advancements in genomics and molecular biology, there is a growing realisation that individual cells within a tissue or organism can exhibit diverse characteristics and responses. This understanding has led to a shift towards targeted therapies and precision medicine, where analysing single cells can provide crucial information for tailoring treatments to individual patients. The ability to study individual cells helps in identifying disease-specific biomarkers, understanding disease progression, and developing effective therapeutic interventions. This has created a strong market demand for single cell analysis technologies and solutions. Techniques such as flow cytometry, next-generation sequencing, mass cytometry, and single-cell PCR have revolutionised the field, allowing for high-resolution analysis of cellular characteristics and functions.
Top-down and bottom-up approaches were used to estimate and validate the size of the global Emergency Lighting Systems 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 by 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 Single Cell Analysis Market Segmental Analysis
The global single cell analysis market is segmented by type, application, and region. Based on type, the market can be segmented into Flow Cytometry, Next-Generation Sequencing (NGS), Polymerase Chain Reaction (PCR), and Mass Cytometry. Based on application, the market is segmented into Research Applications, Clinical Applications,and Stem Cell Research. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Global Single Cell Analysis Market Dynamics
Drivers of the Global Single Cell Analysis Market
Increasing Research in Stem Cell Biology
The field of stem cell biology is experiencing a surge in research, given the significant therapeutic potential of stem cells. Single cell analysis plays a vital role in this research, as it enables the characterization and manipulation of stem cells at the individual cell level. By employing single cell analysis techniques, researchers can identify and isolate specific stem cell populations, track their differentiation pathways, and evaluate their functional properties. As the focus on stem cell biology expands, there is a growing demand for advanced single cell analysis tools and technologies.
Restraints in the Global Single Cell Analysis Market
High Complexity and Cost
One of the challenges associated with single cell analysis is its high complexity and cost. These techniques often require specialised equipment, skilled personnel, and well-defined workflows. The complexity of implementing these techniques may hinder their widespread adoption, particularly in resource-limited settings where access to sophisticated infrastructure and expertise is limited. Moreover, the cost involved in procuring and maintaining the necessary equipment and reagents for single cell analysis can pose financial constraints for smaller research laboratories and institutions. The intricate nature and cost implications of single cell analysis present barriers that need to be addressed to ensure broader accessibility and affordability in the field.
Market Trends of the Global Single Cell Analysis Key
One of the key trends in the single cell analysis market is the increasing use of spatial transcriptomics. Spatial transcriptomics is a technique that allows researchers to visualise and analyse gene expression patterns across entire tissues. This information can be used to identify cell types and subtypes, as well as to understand how cells interact with each other.