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市場調查報告書
商品編碼
1636653
2030 年空間基因組學和轉錄組學市場預測:按產品、技術、應用、最終用戶和地區進行的全球分析Spatial Genomics and Transcriptomics Market Forecasts to 2030 - Global Analysis By Product (Consumables, Instruments, Software & Analytics, Services and Other Products), Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球空間基因組學和轉錄組學市場預計在 2024 年價值 3.032 億美元,到 2030 年將達到 6.725 億美元,預測期內的複合年成長率為 14.2%。
空間基因組學和轉錄組學是一種將空間資訊與分子資料相結合以高解析度研究細胞和組織的組織、功能和動態的先進技術。這些技術提供了對基因表現和調控的洞察,使研究人員能夠繪製生物樣本內 DNA 和 RNA 的空間分佈圖。空間基因組學專注於了解細胞核內基因組的3D結構和組織,而轉錄組學則捕捉 RNA 轉錄本在組織中的空間分佈,提供原位基因表現模式的全面視圖。
根據美國疾病管制中心(CDC)估計,光是 2020 年美國醫院就發生了 170 萬例醫院內感染疾病。然而,報告發現,因手術而感染疾病的患者平均住院時間要多出 6.5 天,出院後再次入院的可能性高出五倍。
強調個人化醫療
個人化醫療旨在根據患者的基因、分子和細胞特徵為其提供量身定做的醫療服務。為此,必須利用空間基因組學和轉錄組學來研究特定組織區域的基因活動並揭示組織內異質性。空間工具可以繪製不同組織區域細胞之間複雜的相互作用,有助於識別癌症、神經系統疾病和自體免疫疾病等疾病的疾病機制和治療目標。
資料分析的複雜性
空間基因組學和轉錄組學會產生大量複雜的資料,需要專門的工具和專業知識。挑戰包括需要專業知識、缺乏可用的工具、漫長的學習曲線以及資源限制。臨床醫生和分子生物學家等非專業人士很難將這些技術融入他們的工作流程中。可存取的工具通常是專有的或開放原始碼的,但需要高級編碼技能,限制了非技術用戶的可用性。此外,小型實驗室可能缺乏預算或人力來聘請生物資訊學家或投資於他們的培訓。
成像、定序和計算工具的持續創新
超高解析度和光片顯微鏡等現代成像技術可以詳細地可視化組織中的基因表現和分子相互作用。活細胞成像提供了對即時細胞和分子過程的動態洞察,以增強轉化研究應用。改進的成像工具將吸引新的研究人員,推動發育生物學、腫瘤學和神經科學等領域對空間基因組學技術的需求,從而促進市場成長。
缺乏標準化通訊協定和基準
空間基因組學和轉錄組學涉及複雜的工作流程,包括組織準備、成像、定序和資料分析。由於缺乏通用協議,結果可能不一致。樣品製備的變化,包括組織固定方法、切片技術、儲存條件、成像和定序之間的差異以及資料分析的挑戰,可能導致基因表現表現譜、空間解析度和資料品質的變化。此外,資料處理和解釋的計算流程可能會引入影響基因表現資料可靠性的偏差。
COVID-19 的影響
COVID-19 疫情對空間基因組學和轉錄組學市場產生了重大影響,加速了採用先進的分子技術來了解病毒機制和宿主反應。研究人員正在利用空間基因組學來探索 SARS-CoV-2 與人體組織的相互作用,這推動了對尖端工具的需求。但疫情也導致供應鏈中斷。儘管存在這些挑戰,但對 COVID-19 和其他疾病的研究的迫切需求正在刺激創新和投資,對市場的長期成長前景產生積極影響。
碳纖維市場預計將成為預測期內最大的市場
在預測期內,高壓釜部分預計將佔據最大的市場佔有率,因為顯微鏡載物台、鏡頭和支架等高性能光學元件可以提高成像系統的準確性和穩定性,尤其是在空間轉錄組學方面。碳纖維整體式裝置功能強大且經久耐用,使空間基因組學工具更加高效,對研究人員更具吸引力,並有可能增加其在實驗室、醫院和研究機構的應用。
預計高壓釜處理部門在預測期內將實現最高複合年成長率
預計預測期內高壓釜處理部分將以最高的複合年成長率成長。高壓釜對於與組織樣本和基因組材料接觸的儀器的消毒以及防止空間轉錄組學實驗期間的污染至關重要。它還透過使蛋白質變性和穩定組織來幫助組織固定,保持組織切片的空間完整性,這對於準確的空間基因表現研究至關重要。滅菌和組織固定對於有效的基因表現研究至關重要。
預計預測期內北美地區將佔據最大的市場佔有率。這是因為先進的醫療保健系統能夠將空間基因組學融入臨床實踐,從而實現腫瘤學、神經病學和免疫學領域的精準醫療。北美的醫院和診斷中心擁有部署複雜技術的能力和財力,使個人化醫療成為現實。空間基因組學可以幫助發現生物標記、開發藥物和標靶治療,特別是對於癌症和神經系統疾病等複雜疾病。
預計亞太地區將在整個預測期內以最高的複合年成長率成長,這主要得益於中國、印度、日本和韓國對基因組研究的投資,尤其是個人化醫療、癌症研究和感染疾病基因組學。這些國家正致力於基因組定序、精準醫療和太空轉錄組學,以從組織特異性層級了解疾病生物學。亞太地區主要研究中心,包括北京基因組研究所、生物資訊研究所、理化學研究所等。
According to Stratistics MRC, the Global Spatial Genomics & Transcriptomics Market is accounted for $303.2 million in 2024 and is expected to reach $672.5 million by 2030 growing at a CAGR of 14.2% during the forecast period. Spatial genomics and transcriptomics are advanced technologies that combine spatial information with molecular data to study the organization, function, and dynamics of cells and tissues at high resolution. They provide insights into gene expression and regulation in their native spatial context, allowing researchers to map the spatial distribution of DNA and RNA within a biological sample. Spatial genomics focuses on understanding the three-dimensional structure and organization of the genome within the nucleus, while transcriptomics captures the spatial distribution of RNA transcripts across tissues, providing a comprehensive view of gene expression patterns in situ.
According to the Centers for Disease Control (CDC) In 2020, In American Hospitals alone, hospital-acquired infections alone accounted for an estimated 1.7 million infections. However, the report states that patients who acquire infections from surgery spend, on average, an additional 6.5 days in the hospital and are five times more likely to be readmitted after discharge.
Increasing emphasis on personalized therapies
Personalized medicine aims to tailor healthcare to individual patients based on their genetic, molecular, and cellular profiles. To be effective, spatial genomics and transcriptomics are used to study gene activity in specific tissue regions, revealing heterogeneity within tissues. Spatial tools can map complex interactions between cells in different tissue regions, helping to pinpoint disease mechanisms and treatment targets in diseases like cancer, neurological disorders, and autoimmune diseases.
Complexity of data analysis
Spatial genomics and transcriptomics generate large, complex datasets that require specialized tools and expertise. Challenges include specialized knowledge requirements, lack of accessible tools, time-intensive learning curve, and resource constraints. Non-specialists, such as clinical practitioners or molecular biologists, struggle to integrate these technologies into their workflows. Accessible tools, often proprietary or open-source, require advanced coding skills, limiting usability for non-technical users. Additionally, smaller research labs may lack the budget or personnel to employ bioinformaticians or invest in training.
Continuous innovation in imaging, sequencing, and computational tools
Modern imaging technologies like super-resolution microscopy and light-sheet microscopy enable detailed visualization of gene expression and molecular interactions in tissues. Live-cell imaging provides dynamic insights into real-time cellular and molecular processes, enhancing translational research applications. Improved imaging tools attract new researchers and drive demand for spatial genomics technologies in areas like developmental biology, oncology, and neuroscience propelling the market growth.
Lack of standardized protocols and benchmarking
Spatial genomics and transcriptomics involve complex workflows like tissue preparation, imaging, sequencing, and data analysis. The absence of universal protocols can lead to inconsistencies in results. Sample preparation variability, such as tissue fixation methods, sectioning techniques, storage conditions, imaging and sequencing differences, and data analysis challenges, can result in varying gene expression profiles, spatial resolution, and data quality. Additionally, computational pipelines for data processing and interpretation can introduce biases, affecting the reliability of gene expression data.
Covid-19 Impact
The COVID-19 pandemic significantly impacted the Spatial Genomics & Transcriptomics Market, accelerating the adoption of advanced molecular technologies for understanding viral mechanisms and host responses. Researchers utilized spatial genomics to explore SARS-CoV-2 interactions with human tissues, fueling demand for cutting-edge tools. However, the pandemic also led to disruptions in supply chains. Despite these challenges, the urgency to study COVID-19 and other diseases has spurred innovations and investments, positively influencing the market's long-term growth prospects.
The carbon fiber segment is expected to be the largest during the forecast period
Over the forecasted timeframe, the autoclave processing segment is anticipated to be the largest market share owing to high-performance optical components like microscope stages, lenses, and supports, improving precision and stability in imaging systems, especially in spatial transcriptomics. Carbon fiber-integrated equipment offers better functionality and durability, making spatial genomics tools more efficient and attractive to researchers, potentially increasing adoption rates in labs, hospitals, and research institutions.
The autoclave processing segment is expected to have the highest CAGR during the forecast period
The autoclave processing segment is expected to have the highest CAGR growth during the estimation period autoclaving is crucial for sterilizing tissue samples and instruments that come into contact with genomic material, preventing contamination during spatial transcriptomics experiments. It also helps in tissue fixation by denaturing proteins and stabilizing tissues, preserving the spatial integrity of tissue sections, essential for accurate spatial gene expression studies. Both sterilization and tissue fixation are essential for efficient gene expression studies.
During the projected timeframe, the North America region is expected to hold the largest market share during the forecast period due to the advanced healthcare systems that enable the integration of spatial genomics into clinical practices, enabling precision medicine in oncology, neurology, and immunology. With the ability to adopt complex technologies and financial resources, North American hospitals and diagnostic centers are able to make personalized medicine a reality. Spatial genomics aids in biomarker discovery, drug development, and targeted therapies, particularly for complex diseases like cancer and neurological disorders.
The Asia Pacific region is predicted to witness the highest CAGR growth rate throughout the forecast period owing to china, India, Japan, and South Korea investing heavily in genomic research, particularly for personalized medicine, cancer research, and infectious disease genomics. These nations are focusing on genomic sequencing, precision medicine, and spatial transcriptomics to understand disease biology at a tissue-specific level. Leading research centers in the APAC region, such as the beijing genomics institute, the institute of bioinformatics, and riken institute.
Key players in the market
Some of the key players in Spatial Genomics & Transcriptomics market include 10X Genomics, Inc., Akoya Biosciences, Inc., BioSpyder Technologies Inc., Bio-Techne Corporation, Dovetail Genomics, LLC, Fluidigm Corporation, Genomic Vision SA, Illumina, Inc., Lunaphore Technologies SA, Nanostring Technologies, Inc., Natera Inc., PerkinElmer Inc., Rarecyte, Inc., Resolve Biosciences, S2 Genomic, Seven Bridges Genomics, Singular Genomics System, Inc. and Veranome Biosystems LLC.
In November 2024, Illumina, Inc. announced that it will release TruSight(TM) Oncology 500 v2 (TSO 500 v2), a new version of its flagship cancer research assay to enable comprehensive genomic profiling (CGP). The assay is currently under development, with global release planned for mid-2025.
In October 2024, Illumina, Inc. unveiled its MiSeq(TM) i100 Series of sequencing systems, delivering unparalleled benchtop speed and simplicity to advance next-generation sequencing (NGS) for labs.
In January 2024, PerkinElmer announced that it has acquired Covaris, a leading developer of solutions to empower life science innovations. The merger will accelerate Covaris' growth potential and expand PerkinElmer's existing life sciences portfolio into the high-growth diagnostics end market.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.