AI For Scientific Discovery Market Size 2025-2029
The ai for scientific discovery market size is forecast to increase by USD 4.4 billion, at a CAGR of 19.0% between 2024 and 2029.
The global AI for scientific discovery market is shaped by the expansion of massive, complex datasets and the evolution of high-performance computing infrastructure. This data deluge, from genomics to astrophysics, creates an imperative for sophisticated analytical tools, a role suited for artificial intelligence in biotechnology. The exponential growth in multi-modal and high-dimensional scientific data far exceeds the capacity of traditional methods, making the adoption of AI a necessity. These systems utilize deep learning models and other forms of generative AI in biology to identify subtle patterns and correlations, serving as an ai toolkit for modern researchers and enabling a systems-level understanding of complex biological and environmental systems.The advancement of this market is contingent on overcoming significant data-related challenges. The utility of scientific data for training sophisticated AI models is often compromised by issues of quality, accessibility, and standardization. Fragmented datasets stored in proprietary formats and lacking comprehensive annotation create a bottleneck, limiting the potential of autonomous AI to uncover novel insights. This data scarcity and lack of interoperability severely hinder the ability to move from promising bespoke applications to widespread, transformative impact in areas like ai in genomics and artificial intelligence in drug discovery. This represents a critical hurdle for continued progress and innovation.
What will be the Size of the AI For Scientific Discovery Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The market is characterized by the increasing application of generative models and graph and molecular ml to address complex scientific questions. The use of an ai toolkit is becoming standard practice for hypothesis generation and experimental design, moving beyond simple data analysis. This evolution toward generative AI in biology allows for the in silico discovery of novel materials and therapeutic candidates. These advancements in computational chemistry and systems-level understanding are reshaping research workflows.The integration of physics-informed ml and simulation and digital twins is enabling more accurate predictions in domains where data is sparse but physical laws are known. This is particularly relevant for ai in electronics and sensors, where modeling complex systems is crucial. The ability to perform high-throughput virtual screening and multi-modal data analytics with greater fidelity is a key dynamic. This ongoing refinement of AI architectures is leading to more robust and interpretable models, which are essential for generating trustworthy scientific insights.
How is this AI For Scientific Discovery Industry segmented?
The ai for scientific discovery industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Application
- Target discovery
- De novo molecule design
- Biomarker and omics analysis
- Predictive toxicology
- Technology
- Generative models
- Graph and molecular ML
- Physics-informed ML
- Simulation and digital twins
- End-user
- Pharmaceutical research and development
- Biotechnology companies
- Academic and national labs
- Chemical and materials science firms
- Geography
- North America
- Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- South America
- Middle East and Africa
- Rest of World (ROW)
By Application Insights
The target discovery segment is estimated to witness significant growth during the forecast period.
Target discovery represents a foundational and high-value application, leveraging AI to shift paradigms in pharmaceutical research. AI platforms analyze massive, multimodal datasets, including genomics and proteomics, to identify novel therapeutic targets. This de-risks the drug development pipeline by finding causal biological relationships beyond human analytical capacity. With this segment accounting for approximately 34% of the market, its importance is clear. AI's role in discerning complex patterns helps validate targets with a higher probability of success.
The integration of deep learning models derived from protein structure prediction research is a key driver. This enables the analysis of multi-modal data analytics to uncover new targets for small molecule drugs across multiple therapeutic areas. This industrial adoption of ai-driven drug discovery platforms signifies confidence in AI's ability to solve fundamental biological challenges, moving beyond traditional methods toward more efficient, data-centric approaches that utilize ai-generated hypotheses and improve preclinical research efficiency.
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The Target discovery segment was valued at USD 697.70 million in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 39.2% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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North America unequivocally dominates the AI for scientific discovery market, a position sustained by a synergistic combination of substantial private sector investment and robust government funding. The region, which will contribute 39.2% of the market's incremental growth, functions as an epicenter of innovation, hosting technology behemoths and a vibrant ecosystem of specialized startups. This leadership is driven by a culture of technological exploration and the development of enabling technologies like specialized hardware and software stacks, including generative biology platforms.
This ecosystem in North America is further strengthened by a world-leading academic research infrastructure and a network of AI research hubs that contribute significantly to fundamental research. This work underpins scientific applications, particularly in machine learning and healthcare diagnostics, and solidifies the region's comprehensive market leadership. The focus on developing advanced tools for drug discovery and biological research empowers scientists to build and customize foundation models, showcasing the critical role of enabling technologies and cross-disciplinary collaboration in the region.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global AI for scientific discovery market is experiencing unprecedented growth, largely propelled by advancements in life sciences. Leading the charge are comprehensive AI-driven drug discovery platforms that leverage generative AI for therapeutic design and high-throughput virtual screening. These systems utilize sophisticated techniques like graph neural networks for molecular modeling and in silico simulation of biological processes to accelerate research. Furthermore, the integration of AI platforms for protein structure prediction and deep learning for genomic data analysis is revolutionizing the field. Critical safety and efficacy assessments are enhanced through AI-based predictive toxicology models, while machine learning for biomarker discovery is paving the way for more targeted therapies.Beyond pharmaceuticals, the market's expansion is fueled by foundational technologies and diverse applications. A robust and scalable AI research computing infrastructure is essential for handling multi-modal data analytics in scientific research. This enables powerful AI-powered hypothesis generation and the use of natural language processing for scientific literature to uncover novel insights. The research process is further optimized by reinforcement learning for experiment design and automated scientific experiment execution. This innovation extends to creating generative models for materials science and complex digital twins for climate change modeling. The application of physics-informed machine learning models adds another layer of accuracy. Ultimately, these tools converge in healthcare for tasks like AI for clinical trial data analysis, supporting the broader goal of AI for personalized medicine development.
What are the key market drivers leading to the rise in the adoption of AI For Scientific Discovery Industry?
- The proliferation of high-volume scientific data and the concurrent evolution of advanced computational infrastructure are fundamental drivers of the market.
The global AI for scientific discovery market is fundamentally driven by the synergistic expansion of massive, complex datasets and the concurrent evolution of high-performance computing infrastructure. Modern scientific disciplines generate data at a scale that is unmanageable for traditional human-led analysis, necessitating sophisticated analytical tools. AI algorithms, particularly deep learning models, excel at identifying subtle patterns and causal biological relationships within these vast datasets. The availability of rich, granular data is essential for training and validating these models. Complementing the data explosion is the democratization of computational power through specialized hardware and cloud platforms. This accessibility is a critical enabler, with certain geographic regions accounting for over 39% of the market's growth opportunity, underscoring the importance of robust infrastructure. This reinforcing cycle of data and computational power is central to the market's momentum, fostering hypothesis generation and advancing predictive toxicology.A second critical driver invigorating the market is the substantial and accelerating influx of capital from both public and private sectors, coupled with a paradigm shift toward deeply integrated, cross-disciplinary collaboration. The immense potential of AI to shorten research timelines, reduce failure rates, and uncover novel breakthroughs has attracted unprecedented investment from venture capital, corporate R&D, and government funding agencies. This financial backing is crucial for sustaining the long-term, high-risk research inherent in scientific discovery, funding computational resources and specialized talent. The pharmaceutical and biotechnology industries provide a compelling illustration of this trend, where significant capital is directed toward ai-driven drug discovery platforms and the exploration of novel molecular structures, highlighting the market's economic vitality and strategic importance.
What are the market trends shaping the AI For Scientific Discovery Industry?
- The market is shaped by the trend of exponential growth in multi-modal and high-dimensional scientific data, which exceeds the capacity of traditional analytical methods.
A primary trend shaping the global AI for scientific discovery market is the unprecedented explosion in the volume, velocity, and complexity of scientific data. This data deluge, which includes multi-modal and high-dimensional information, creates a critical need for advanced AI and machine learning platforms. These systems, central to artificial intelligence in biotechnology, can identify patterns hidden within vast datasets. The ability of AI to integrate and find coherence across disparate data types, such as genomic sequences and protein structures, is transformative. This synthesis is fundamental for a systems-level understanding of complex biological processes or environmental systems, making the use of an ai toolkit essential. The sheer scale of data generation necessitates intelligent analysis, positioning AI as an indispensable tool for continued progress and innovation.Concurrent with the data explosion, rapid advancements in AI model architecture and the increasing accessibility of high-performance computing (HPC) resources are acting as a powerful catalyst. The development of more sophisticated and powerful AI models, such as generative adversarial networks and large-scale foundation models, has unlocked new paradigms for scientific inquiry, including generative AI in biology. These models are moving beyond simple data analysis to hypothesis generation and in silico discovery of novel materials. This technological maturation is powerfully demonstrated by recent breakthroughs from leading firms. The proliferation of cloud-based HPC platforms has democratized access to the computational power needed to train these models. This trend is significant, as some geographic areas represent over 26% of the market's expansion potential.
What challenges does the AI For Scientific Discovery Industry face during its growth?
- A key challenge affecting industry growth is the scarcity, quality, and interoperability of data required for training sophisticated AI models.
A primary impediment to the growth of the global AI for scientific discovery market is the persistent challenge related to data. While scientific data volume is immense, its utility for training sophisticated AI models is frequently compromised by issues of quality, accessibility, and standardization. Scientific datasets are often fragmented across disparate institutions, stored in proprietary formats, and lack the comprehensive, high-quality annotation required for effective machine learning and multi-modal data analytics. This data bottleneck severely limits the potential of ai-generated hypotheses to uncover novel insights in fields from genomics to materials science. Without a concerted effort to improve data infrastructure and resolve interoperability puzzles, the market will struggle to move from bespoke applications to widespread impact. Certain geographies, which represent nearly 23% of the growth opportunity, are actively addressing this through federated data infrastructures.The development and deployment of state-of-the-art AI models for scientific discovery demand extraordinary computational resources, creating a significant economic and logistical barrier. Training foundational models in areas like climate simulation or protein structure prediction requires access to massive clusters of specialized processors. The associated costs are prohibitive for many academic institutions and startups, risking a concentration of market power within a small number of well-funded entities. This dynamic is exemplified by the market for advanced AI hardware, where performance gains come with a premium price tag that reinforces the high cost of participation. This creates a competitive chasm between organizations that can afford such infrastructure and those that cannot, potentially stifling innovation and equitable access to ai for science initiatives.
Exclusive Customer Landscape
The ai for scientific discovery market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai for scientific discovery market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai for scientific discovery market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
AbCellera Biologics Inc. - The key offerings in the market are centered on providing advanced computational technologies, software platforms, and specialized services that utilize artificial intelligence to analyze large-scale scientific data. These offerings are designed to automate data analysis, identify complex patterns, and generate predictive models that accelerate the pace of scientific breakthroughs. They enable the acceleration of therapeutic antibody discovery, provide scalable cloud infrastructure and services for structure-based drug design and virtual screening, and support experiment tracking and workflow optimization. Offerings focus on improving preclinical research efficiency, supporting large-scale AI applications in life sciences, and providing end-to-end drug discovery platforms that integrate machine learning with biomedical data to support genomics, computational chemistry, and materials science applications.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- AbCellera Biologics Inc.
- Amazon Web Services Inc.
- Atomwise Inc.
- Benchling Inc.
- BenchSci Analytics Inc.
- BenevolentAI
- Evaxion AS
- Generate Biomedicines
- Google LLC
- Healx Ltd.
- International Business Machines Corp.
- Insilico Medicine
- Microsoft Corp.
- Nimbus Therapeutics
- Novartis AG
- NVIDIA Corp.
- Recursion Pharmaceuticals Inc.
- Schrodinger Inc.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai For Scientific Discovery Market
In April 2024, Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS launched a new initiative focused on developing trustworthy AI for chemical and pharmaceutical process optimization, aiming to increase efficiency and safety in manufacturing.In March 2024, NVIDIA unveiled new generative AI microservices and a suite of tools for its BioNeMo platform, specifically designed to accelerate drug discovery and biological research by enabling scientists to build and customize foundation models on proprietary data.In February 2024, Recursion announced a collaboration with Tempus to advance oncology research by applying Recursion's AI-driven models to Tempus's extensive library of de-identified, multimodal data.In January 2024, Insilico Medicine entered into a strategic collaboration with the Menarini Group to discover and develop a novel drug candidate for a specific cancer target, leveraging Insilico's generative AI platform.In January 2024, Microsoft and the Pacific Northwest National Laboratory announced a joint effort that used advanced AI and high-performance computing to screen over 32 million potential inorganic materials, identifying a novel solid-state electrolyte candidate.
Research Analyst Overview
The evolution of the global AI for scientific discovery market is marked by the increasing integration of AI into foundational research processes. Advanced algorithms facilitate in silico discovery and hypothesis generation, accelerating early-stage exploration. In life sciences, generative models are pivotal for de novo molecule design and complex target discovery, while graph and molecular ML techniques refine the understanding of molecular structures and drug-target affinity. The use of an AI-immunology platform enhances therapeutic antibody discovery. Furthermore, multi-modal data analytics synthesizes diverse datasets, including proteomic information and metabolomic information, for comprehensive biomarker and omics analysis. This approach improves preclinical research efficiency by elucidating causal biological relationships and supporting protein structure prediction, enabling the rapid formulation of AI-generated hypotheses grounded in computational chemistry.Building upon these capabilities, the market is advancing toward more integrated and autonomous systems. Deep learning models, including generative adversarial networks, graph neural networks, and large-scale foundation models, are becoming central to generative AI applications. The operational backbone for these sophisticated models relies on high-performance computing and federated data infrastructures, which necessitate cross-disciplinary collaboration. In physical sciences, physics-informed ML aids in modeling phenomena governed by partial differential equations, such as solid state electrolyte behavior, through simulation and digital twins. These digital twin platforms, combined with advances in quantum chemistry and predictive toxicology, contribute to a deeper systems-level understanding and the refinement of pharmacokinetic profiles. This convergence is creating autonomous discovery cycles where an automated validation loop connects AI insights with experimental validation, a trend contributing to a projected market value increase of over 25%. The focus on model interpretability remains crucial for this evolving paradigm.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI For Scientific Discovery Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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303
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 19.0%
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Market growth 2024-2029
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USD 4.4 billion
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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15.7%
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Key countries
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US, Canada, Mexico, Germany, UK, France, Italy, Spain, The Netherlands, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Argentina, Colombia, Saudi Arabia, UAE, South Africa, Israel, Turkey
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this AI For Scientific Discovery Market Research and Growth Report?
- CAGR of the AI For Scientific Discovery industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across North America, Europe, APAC, South America, Middle East and Africa
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai for scientific discovery market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ billion)
- Data Table on Global - Market size and forecast 2024-2029 ($ billion)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI For Scientific Discovery Market 2019 - 2023
- Historic Market Size - Data Table on Global AI For Scientific Discovery Market 2019 - 2023 ($ billion)
- 5.2 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ billion)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ billion)
- 5.4 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user Segment 2019 - 2023 ($ billion)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ billion)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ billion)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Application
- 7 Market Segmentation by Application
- 7.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 7.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 7.3 Target discovery - Market size and forecast 2024-2029
- Chart on Target discovery - Market size and forecast 2024-2029 ($ billion)
- Data Table on Target discovery - Market size and forecast 2024-2029 ($ billion)
- Chart on Target discovery - Year-over-year growth 2024-2029 (%)
- Data Table on Target discovery - Year-over-year growth 2024-2029 (%)
- 7.4 De novo molecule design - Market size and forecast 2024-2029
- Chart on De novo molecule design - Market size and forecast 2024-2029 ($ billion)
- Data Table on De novo molecule design - Market size and forecast 2024-2029 ($ billion)
- Chart on De novo molecule design - Year-over-year growth 2024-2029 (%)
- Data Table on De novo molecule design - Year-over-year growth 2024-2029 (%)
- 7.5 Biomarker and omics analysis - Market size and forecast 2024-2029
- Chart on Biomarker and omics analysis - Market size and forecast 2024-2029 ($ billion)
- Data Table on Biomarker and omics analysis - Market size and forecast 2024-2029 ($ billion)
- Chart on Biomarker and omics analysis - Year-over-year growth 2024-2029 (%)
- Data Table on Biomarker and omics analysis - Year-over-year growth 2024-2029 (%)
- 7.6 Predictive toxicology - Market size and forecast 2024-2029
- Chart on Predictive toxicology - Market size and forecast 2024-2029 ($ billion)
- Data Table on Predictive toxicology - Market size and forecast 2024-2029 ($ billion)
- Chart on Predictive toxicology - Year-over-year growth 2024-2029 (%)
- Data Table on Predictive toxicology - Year-over-year growth 2024-2029 (%)
- 7.7 Market opportunity by Application
- Market opportunity by Application ($ billion)
- Data Table on Market opportunity by Application ($ billion)
8 Market Segmentation by Technology
- 8 Market Segmentation by Technology
- 8.1 Market segments
- Chart on Technology - Market share 2024-2029 (%)
- Data Table on Technology - Market share 2024-2029 (%)
- 8.2 Comparison by Technology
- Chart on Comparison by Technology
- Data Table on Comparison by Technology
- 8.3 Generative models - Market size and forecast 2024-2029
- Chart on Generative models - Market size and forecast 2024-2029 ($ billion)
- Data Table on Generative models - Market size and forecast 2024-2029 ($ billion)
- Chart on Generative models - Year-over-year growth 2024-2029 (%)
- Data Table on Generative models - Year-over-year growth 2024-2029 (%)
- 8.4 Graph and molecular ML - Market size and forecast 2024-2029
- Chart on Graph and molecular ML - Market size and forecast 2024-2029 ($ billion)
- Data Table on Graph and molecular ML - Market size and forecast 2024-2029 ($ billion)
- Chart on Graph and molecular ML - Year-over-year growth 2024-2029 (%)
- Data Table on Graph and molecular ML - Year-over-year growth 2024-2029 (%)
- 8.5 Physics-informed ML - Market size and forecast 2024-2029
- Chart on Physics-informed ML - Market size and forecast 2024-2029 ($ billion)
- Data Table on Physics-informed ML - Market size and forecast 2024-2029 ($ billion)
- Chart on Physics-informed ML - Year-over-year growth 2024-2029 (%)
- Data Table on Physics-informed ML - Year-over-year growth 2024-2029 (%)
- 8.6 Simulation and digital twins - Market size and forecast 2024-2029
- Chart on Simulation and digital twins - Market size and forecast 2024-2029 ($ billion)
- Data Table on Simulation and digital twins - Market size and forecast 2024-2029 ($ billion)
- Chart on Simulation and digital twins - Year-over-year growth 2024-2029 (%)
- Data Table on Simulation and digital twins - Year-over-year growth 2024-2029 (%)
- 8.7 Market opportunity by Technology
- Market opportunity by Technology ($ billion)
- Data Table on Market opportunity by Technology ($ billion)
9 Market Segmentation by End-user
- 9 Market Segmentation by End-user
- 9.1 Market segments
- Chart on End-user - Market share 2024-2029 (%)
- Data Table on End-user - Market share 2024-2029 (%)
- 9.2 Comparison by End-user
- Chart on Comparison by End-user
- Data Table on Comparison by End-user
- 9.3 Pharmaceutical research and development - Market size and forecast 2024-2029
- Chart on Pharmaceutical research and development - Market size and forecast 2024-2029 ($ billion)
- Data Table on Pharmaceutical research and development - Market size and forecast 2024-2029 ($ billion)
- Chart on Pharmaceutical research and development - Year-over-year growth 2024-2029 (%)
- Data Table on Pharmaceutical research and development - Year-over-year growth 2024-2029 (%)
- 9.4 Biotechnology companies - Market size and forecast 2024-2029
- Chart on Biotechnology companies - Market size and forecast 2024-2029 ($ billion)
- Data Table on Biotechnology companies - Market size and forecast 2024-2029 ($ billion)
- Chart on Biotechnology companies - Year-over-year growth 2024-2029 (%)
- Data Table on Biotechnology companies - Year-over-year growth 2024-2029 (%)
- 9.5 Academic and national labs - Market size and forecast 2024-2029
- Chart on Academic and national labs - Market size and forecast 2024-2029 ($ billion)
- Data Table on Academic and national labs - Market size and forecast 2024-2029 ($ billion)
- Chart on Academic and national labs - Year-over-year growth 2024-2029 (%)
- Data Table on Academic and national labs - Year-over-year growth 2024-2029 (%)
- 9.6 Chemical and materials science firms - Market size and forecast 2024-2029
- Chart on Chemical and materials science firms - Market size and forecast 2024-2029 ($ billion)
- Data Table on Chemical and materials science firms - Market size and forecast 2024-2029 ($ billion)
- Chart on Chemical and materials science firms - Year-over-year growth 2024-2029 (%)
- Data Table on Chemical and materials science firms - Year-over-year growth 2024-2029 (%)
- 9.7 Market opportunity by End-user
- Market opportunity by End-user ($ billion)
- Data Table on Market opportunity by End-user ($ billion)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ billion)
- Data Table on North America - Market size and forecast 2024-2029 ($ billion)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.3.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ billion)
- Data Table on US - Market size and forecast 2024-2029 ($ billion)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.3.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ billion)
- Data Table on Canada - Market size and forecast 2024-2029 ($ billion)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.3.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ billion)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ billion)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.4 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ billion)
- Data Table on Europe - Market size and forecast 2024-2029 ($ billion)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.4.1 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ billion)
- Data Table on Germany - Market size and forecast 2024-2029 ($ billion)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.4.2 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ billion)
- Data Table on UK - Market size and forecast 2024-2029 ($ billion)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.4.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ billion)
- Data Table on France - Market size and forecast 2024-2029 ($ billion)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.4.4 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ billion)
- Data Table on Italy - Market size and forecast 2024-2029 ($ billion)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.4.5 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ billion)
- Data Table on Spain - Market size and forecast 2024-2029 ($ billion)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.4.6 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ billion)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.5 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ billion)
- Data Table on APAC - Market size and forecast 2024-2029 ($ billion)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.5.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ billion)
- Data Table on China - Market size and forecast 2024-2029 ($ billion)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.5.2 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ billion)
- Data Table on Japan - Market size and forecast 2024-2029 ($ billion)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.5.3 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ billion)
- Data Table on India - Market size and forecast 2024-2029 ($ billion)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.5.4 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ billion)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.5.5 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Australia - Market size and forecast 2024-2029 ($ billion)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.5.6 Indonesia - Market size and forecast 2024-2029
- Chart on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Indonesia - Market size and forecast 2024-2029 ($ billion)
- Chart on Indonesia - Year-over-year growth 2024-2029 (%)
- Data Table on Indonesia - Year-over-year growth 2024-2029 (%)
- 11.6 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ billion)
- Data Table on South America - Market size and forecast 2024-2029 ($ billion)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.6.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ billion)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ billion)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.6.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ billion)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ billion)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.6.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ billion)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.7 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ billion)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.7.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ billion)
- Data Table on UAE - Market size and forecast 2024-2029 ($ billion)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.7.3 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ billion)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ billion)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.7.4 Israel - Market size and forecast 2024-2029
- Chart on Israel - Market size and forecast 2024-2029 ($ billion)
- Data Table on Israel - Market size and forecast 2024-2029 ($ billion)
- Chart on Israel - Year-over-year growth 2024-2029 (%)
- Data Table on Israel - Year-over-year growth 2024-2029 (%)
- 11.7.5 Turkey - Market size and forecast 2024-2029
- Chart on Turkey - Market size and forecast 2024-2029 ($ billion)
- Data Table on Turkey - Market size and forecast 2024-2029 ($ billion)
- Chart on Turkey - Year-over-year growth 2024-2029 (%)
- Data Table on Turkey - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ billion)
- Data Tables on Market opportunity by geography ($ billion)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Proliferation of high-volume scientific data and advanced computational infrastructure
- Escalating investment and cross-disciplinary strategic collaborations
- Transformative advances in AI models and algorithms
- 12.2 Market challenges
- Data Scarcity, quality, and interoperability
- Prohibitive computational costs and infrastructure barriers
- Model interpretability, validation, and reproducibility
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Exponential growth in multi-modal and high-dimensional scientific data
- Maturation of AI architectures and democratization of high-performance computing
- Escalating strategic investments and public-private collaborations
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 AbCellera Biologics Inc.
- AbCellera Biologics Inc. - Overview
- AbCellera Biologics Inc. - Product / Service
- AbCellera Biologics Inc. - Key offerings
- SWOT
- 14.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 14.6 Atomwise Inc.
- Atomwise Inc. - Overview
- Atomwise Inc. - Product / Service
- Atomwise Inc. - Key offerings
- SWOT
- 14.7 Benchling Inc.
- Benchling Inc. - Overview
- Benchling Inc. - Product / Service
- Benchling Inc. - Key offerings
- SWOT
- 14.8 BenchSci Analytics Inc.
- BenchSci Analytics Inc. - Overview
- BenchSci Analytics Inc. - Product / Service
- BenchSci Analytics Inc. - Key offerings
- SWOT
- 14.9 BenevolentAI
- BenevolentAI - Overview
- BenevolentAI - Product / Service
- BenevolentAI - Key offerings
- SWOT
- 14.10 Evaxion AS
- Evaxion AS - Overview
- Evaxion AS - Product / Service
- Evaxion AS - Key offerings
- SWOT
- 14.11 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.12 Healx Ltd.
- Healx Ltd. - Overview
- Healx Ltd. - Product / Service
- Healx Ltd. - Key offerings
- SWOT
- 14.13 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.14 Insilico Medicine
- Insilico Medicine - Overview
- Insilico Medicine - Product / Service
- Insilico Medicine - Key offerings
- SWOT
- 14.15 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.16 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.17 Recursion Pharmaceuticals Inc.
- Recursion Pharmaceuticals Inc. - Overview
- Recursion Pharmaceuticals Inc. - Product / Service
- Recursion Pharmaceuticals Inc. - Key offerings
- SWOT
- 14.18 Schrodinger Inc.
- Schrodinger Inc. - Overview
- Schrodinger Inc. - Business segments
- Schrodinger Inc. - Key offerings
- Schrodinger Inc. - Segment focus
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
INFORMATION SOURCES
DATA ANALYSIS
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