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Artificial Intelligence-Powered Spatial Biology Market to Experience Strong Growth Driven by Advancements in Drug Discovery and Clinical Diagnostics
Artificial Intelligence-powered (AI) Spatial Biology Market
According to the latest research by InsightAce Analytic, the global artificial intelligence-powered (AI) spatial biology market is expected to record a promising CAGR of 17.2% during the period of 2024-2031. By region, North America dominates the global market with the major contribution in terms of revenue.
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Recent years have seen significant advancements in biological research and automated molecular biology through the application of artificial intelligence (AI). AI has proven to be highly effective in supporting specific areas of biology, potentially enabling the development of biotechnology-derived therapies that can advance precision medicine approaches. The use of AI in analyzing cell-by-cell maps of gene or protein activity is expected to lead to groundbreaking innovations in spatial biology. The integration of spatially resolved data could represent the next major breakthrough in the understanding of biology. In particular, spatial transcriptomics (spRNA-Seq), which combines traditional histopathology with single-cell gene expression profiling, enables the mapping of disease pathologies by linking the spatial arrangement of molecules in cells and tissues with their gene expression profiles. Machine learning further enhances this process by generating images of gene transcripts at sub-cellular resolution and deciphering molecular proximities from sequencing data.
AI's role in spatial biology has accelerated in key areas such as sequencing and analysis, drug discovery, and disease diagnosis. The growing interest in AI applications in spatial biology is largely driven by the broader adoption of similar technologies across various industries and the increasing use of AI in scientific research. Additionally, government investments in global research initiatives have contributed to market expansion. The demand for innovative analytical tools, coupled with increased funding, has led to the introduction of high-throughput technologies. However, despite the availability of advanced spatial imaging techniques, extracting, analyzing, and interpreting biological data from these images remains a challenging and labor-intensive task.
In 2021, North America led the market for AI applications in spatial biology. The region's technological advancements, well-established research infrastructure, presence of key players, and increased funding for drug discovery and R&D have all contributed to its market leadership. North America's large and growing demand from research institutions and the pharmaceutical industry solidifies its position as the largest market for artificial intelligence in spatial omics.
The major players operating in artificial intelligence-powered (AI) spatial biology market players are Nucleai, Inc., Reveal Biosciences, Inc., Alpenglow Biosciences, SpIntellx, Inc., ONCOHOST, Pathr.ai, Phenomic AI, BioTuring Inc., Indica Labs, Rebus Biosystems, Inc., Genoskin, Algorithmic Biologics, Castle Biosciences, Inc. (TissueCypher), and Other Prominent Players. The leading spatial omics solution providers are focusing on strategies like investmenst for innovations, partnerships, collaborations, mergers, and agreements with AI based service providers.
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Key Developments In The Market
• In Aug 2022, SpIntellx, Inc. and iCura Diagnostics announced cooperation to revolutionize precision oncology by releasing the power of genomic, proteomic, and transcriptomic data through the application of advanced spatial analytics. This new alliance combines SpIntellx's software-as-a-service (SaaS) solutions for precision pathology applications that leverage unbiased spatial analytics and explainable AI with iCura Diagnostics' technical CRO expertise in accelerating immunotherapy and targeted therapy development.
• In July 2022, Nucleai announced a relationship with Sirona DX, a US-based contract research company. The alliance intends to further the AI-driven identification of novel spatial biomarkers - indications of solid tumour recurrence, treatment response, and prognosis. Nucleai is developing a precision oncology platform based on artificial intelligence for research and therapy decisions.
• In May 2022, OncoHost announced the completion of a Series C investment round worth $35 million. The financing will be used to expand OncoHost's ongoing multicenter PROPHETIC trial utilizing PROphet®, the company's machine learning-based host response profiling technology, and to support the upcoming commercial launch of the precision oncology diagnostic solution in the United States.
• In March 2022, CellCarta announced the release of imageDx PRISM to significantly improve the spatial biology data that can be obtained from Akoya Bioscience's® multiplex immunofluorescence (mIF) tests. imageDx PRISM from Reveal Biosciences integrates the most recent AI advancements to novel pattern discovery and spatial biomarker characterization, providing difficult-to-discover patient insights previously.
• In Jan 2022, Single Cell Discoveries and BioTuring announced a partnership to advance the field of single-cell sequencing. Single Cell Discoveries will integrate BioTuring's single-cell data processing solution into its single-cell sequencing services as part of the agreement. The cooperation intends to bridge the gap between wet-lab services for single-cell sequencing and solutions for single-cell data analysis.
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Market Segments
Global Artificial Intelligence-powered (AI) Spatial Biology Market, by Data Analyzed, 2022-2030 (Value US$ Mn)
• DNA
• RNA
• Protein
Global Artificial Intelligence-powered (AI) Spatial Biology Market, by Application, 2022-2030 (Value US$ Mn)
• Translation Research
• Drug Discovery and Development
• Single Cell Analysis
• Cell Biology
• Clinical Diagnostics
• Other Applications
Global Artificial Intelligence-powered (AI) Spatial Biology Market, by Region, 2022-2030 (Value US$ Mn)
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa
North America Artificial Intelligence-powered (AI) Spatial Biology Market, by Country, 2022-2030 (Value US$ Mn)
• U.S.
• Canada
Europe Artificial Intelligence-powered (AI) Spatial Biology Market, by Country, 2022-2030 (Value US$ Mn)
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe
Asia Pacific Artificial Intelligence-powered (AI) Spatial Biology Market, by Country, 2022-2030 (Value US$ Mn)
• India
• China
• Japan
• South Korea
• Australia & New Zealand
Latin America Artificial Intelligence-powered (AI) Spatial Biology Market, by Country, 2022-2030 (Value US$ Mn)
• Brazil
• Mexico
• Rest of Latin America
Middle East & Africa Artificial Intelligence-powered (AI) Spatial Biology Market, by Country, 2022-2030 (Value US$ Mn)
• GCC Countries
• South Africa
• Rest of Middle East & Africa
Why should buy this report:
To receive a comprehensive analysis of the prospects for global artificial intelligence-powered (AI) spatial biology market
To receive industry overview and future trends of global artificial intelligence-powered (AI) spatial biology market
To analyse the artificial intelligence-powered (AI) spatial biology market drivers and challenges
To get information on artificial intelligence-powered (AI) spatial biology market size value (US$ Mn) forecast till 2030
To get information on major Investments, Mergers & Acquisition in global artificial intelligence-powered (AI) spatial biology market industry
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About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
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