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市場調查報告書
商品編碼
2094158

基因組學人工智慧市場—2026-2032年全球市場預測

Artificial Intelligence in Genomics Market - Global Forecast 2026-2032
出版日期: | 出版商: 360iResearch | 英文 193 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，基因組學領域的人工智慧 (AI) 市場將成長至 101.3 億美元，複合年成長率為 27.74%。

主要市場統計數據
基準年 2025 18.2億美元
預計年份：2026年 23.2億美元
預測年份 2032 101.3億美元
複合年成長率 (%) 27.74%

基因組學領域人工智慧的執行摘要

基因組學領域的人工智慧正在重新定義生物數據的解讀、檢驗以及將其轉化為臨床、研究和公共衛生成果的方式。次世代定序、多體學、機器學習、深度學習、自然語言處理和基於雲端的生物資訊學的融合，使得突變解讀速度更快、疾病風險評估更準確、患者分層更精細，以及在複雜的基因組資料集上進行可擴展的發現成為可能。隨著定序成本的降低和全基因組資料集的擴展，人工智慧在識別傳統方法難以檢測到的模式方面變得越來越重要。

人工智慧基因組學領域的變革性變化

基因組學領域的人工智慧發展趨勢正經歷著變革性的變化，這主要得益於定序數據的快速成長、機器學習架構的日趨成熟以及基因組學在常規醫療保健和生物醫學研究中日益廣泛的應用。深度學習模型正被擴大應用於變異檢測、蛋白質結構與功能推斷、基因組註釋、腫瘤分類和多基因風險分析等領域，而基於變壓器的方法則加速了基因組序列、電子健康記錄和科學文獻的分析。這些進步正在提升基因型、表現型、環境和治療反應之間關聯性的能力。

人工智慧對基因組學的累積影響

人工智慧在基因組學領域的累積影響最顯著地體現在加速發現週期和提高大型資料集分析的一致性。人工智慧驅動的流程可以處理大量的定序數據，優先處理具有臨床意義的變異，檢測結構突變，並輔助解讀不確定的觀察。在腫瘤學領域，人工智慧支援分子腫瘤譜分析、新抗原預測、治療反應建模和抗藥性機制分析。在罕見疾病領域，人工智慧可以透過提高表現型-基因型匹配的準確性以及將基因組突變與臨床特徵關聯起來，降低診斷的複雜性。

基因組學領域人工智慧的關鍵區域性見解

亞太地區正崛起為基因組學人工智慧活動的中心，這得益於大規模人群基因組學計畫、不斷擴展的定序能力、對數位健康的投資以及強大的學術和臨床研究網路。該地區各國正利用人工智慧支援精準醫療、癌症基因組學、生殖醫學、感染疾病監測和農業基因組學。北美仍然是人工智慧驅動的基因組創新領先中心，這得益於先進的生物醫學研究基礎設施、廣泛的臨床定序應用、成熟的資料科學能力以及在負責任的人工智慧、數據隱私和基因組醫學方面的政策倡導。

基因組學中人工智慧的關鍵群體分析

在東南亞國協，人工智慧與基因組學的融合正隨著數位醫療、感染疾病監測、癌症研究和農業生物技術的現代化而加速。該地區多元化的人口和醫療保健系統為開發本地化的基因組人工智慧模型創造了機遇，但加強跨境合作需要統一的標準化、人力資源開發和安全的數據共用機制。在海灣合作理事會（GCC）國家，基因組學正被納入更廣泛的醫療保健轉型計劃，人工智慧為人群篩檢、遺傳疾病研究、個人化醫療和高級臨床分析提供支援。該地區對國家級基因組資料集和精準醫療表現出濃厚的興趣，正逐漸成為人工智慧驅動的基因組基礎設施的重要應用區域。

主要國家對基因組學領域人工智慧的見解

美國憑藉其龐大的生物醫學研究網路、廣泛的臨床定序、高技能的人工智慧人才以及在精準醫療、腫瘤學、罕見疾病診斷和藥物基因組學領域的積極參與，成為基因組學人工智慧發展的核心促進者力。加拿大則透過人口健康調查、人工智慧專業知識、基因組醫學計畫和符合倫理的數據管治模式做出貢獻。墨西哥正在拓展與人口多樣性、代謝性疾病、癌症和公共衛生應用相關的基因組學研究，而巴西則在其不斷發展的生物資訊學生態系統的支持下，推進感染疾病監測、生物多樣性研究、腫瘤學和群體遺傳學領域的基因組學研究。

為行業領導者提供的實用建議

產業領導者應優先考慮經臨床檢驗的人工智慧模型、多樣化的訓練資料集、安全的資料架構和透明的管治框架，以建立人們對人工智慧驅動的基因組學的信心。投資應集中於可互通的數據管道，將定序數據與表現型、影像、檢查、治療和結果資訊連接起來。各機構應實施模型監控、偏差評估、可重複性檢查和可解釋性工具，以支援監管合規和臨床應用。

調查方法

本執行摘要採用結構化的二手研究途徑撰寫，重點關注與基因組學人工智慧相關的、經過檢驗的、公開可用的、基於證據的資訊來源。此調查方法強調同行評審的科學文獻、監管指南、公共衛生出版物、基因組醫學框架、標準文件以及政府和政府間資源。分析著重於技術採納模式、臨床和研究應用、資料管治、區域政策環境以及檢驗的應用案例，而非市場規模估算或收入預測。

結論

基因組學領域的人工智慧正逐漸成為精準醫療、生物醫學發現、公共衛生監測和數據驅動生命科學創新的基礎能力。其價值在於能夠解讀複雜的基因組和多組體學資料集，加速變異分析，改善患者分層，並大規模地發現具有生物學意義的模式。最成功的應用案例是將複雜的演算法與高品質數據、臨床檢驗、倫理管治和安全的合作模式結合。

目錄

第1章：序言

第2章：調查方法

  • 調查設計
  • 研究框架
  • 市場規模預測
  • 數據三角測量
  • 調查結果
  • 調查的前提
  • 研究限制

第3章執行摘要

  • 首席體驗長觀點
  • 市場規模和成長趨勢
  • 新的商機
  • 下一代經營模式
  • 產業藍圖

第4章 市場概覽

  • 產業生態系與價值鏈分析
  • 市場動態
  • 波特五力分析
  • PESTLE分析
  • 市場展望
  • 上市策略

第5章 市場洞察

  • 消費者洞察與終端用戶觀點
  • 消費者體驗基準
  • 機會映射
  • 分銷通路分析
  • 價格趨勢分析
  • 監理合規和標準框架
  • ESG與永續性分析
  • 中斷和風險情景
  • 投資報酬率和成本效益分析

第6章：人工智慧的累積影響，2026年

第7章：基因體學領域的人工智慧市場：以人工智慧技術分類

  • 深度學習
    • 自編碼器
    • 卷積類神經網路
    • 循環神經網路
  • 機器學習
    • 強化學習
    • 監督式學習
    • 無監督學習
  • 自然語言處理
    • 情緒分析
    • 文字探勘

第8章：基因組學領域的人工智慧市場：按服務分類

  • 生物資訊服務
    • 註解
    • 數據分析
    • 解釋
  • 諮詢
    • 實施支持
    • 戰略制定
  • 定序服務
    • EXOME定序
    • 轉錄定序
    • 全基因測序
  • 軟體平台
    • 基於雲端的
    • 現場

第9章：基因組學人工智慧市場：按定序類型分類

  • 次世代定序
    • Illumina
    • Ion Torrent
    • PacBio
  • 桑格定序
    • 微血管
    • 螢光法

第10章：基因體學領域的人工智慧市場：按應用分類

  • 農業和動物基因組學
    • 作物改良
    • 畜牧養殖
  • 診斷
    • 臨床診斷
    • 研究診斷
  • 藥物發現
    • 鉛識別
    • 臨床前試驗
    • 目標檢驗
  • 精準醫療
    • 伴隨診斷
    • 個人化治療
    • 藥物基因體學

第11章：基因組學領域的人工智慧市場：按最終用戶分類

  • 學術和研究
    • 研究機構
    • 大學
  • 醫院和診所
    • 診斷檢查室
    • 醫療中心
  • 製藥和生物技術
    • 生技公司
    • 大型製藥企業

第12章：基因體學領域的人工智慧市場：按地區分類

  • 亞太地區
  • 歐洲
  • 北美洲
  • 拉丁美洲
  • 非洲
  • 中東

第13章：基因體學領域的人工智慧市場：按群體分類

  • NATO
  • G7
  • BRICS
  • EU
  • ASEAN
  • GCC

第14章：基因組學領域的人工智慧市場：按國家分類

  • 中國
  • 美國
  • 日本
  • 印度
  • 德國
  • 英國
  • 澳洲
  • 法國
  • 韓國
  • 義大利
  • 加拿大
  • 俄羅斯
  • 巴西
  • 墨西哥
  • 西班牙

第15章 競爭格局

  • 2025年市佔率分析
  • FPNV定位矩陣，2025
  • 市場集中度分析，2025年
    • 濃度比（CR）
    • 赫芬達爾-赫希曼指數 (HHI)
  • 近期趨勢及影響分析，2025 年
  • 2025年產品系列分析
  • 基準分析，2025 年

第16章：公司簡介

  • 10x Genomics Inc
  • Agilent Technologies Inc
  • Alphabet Inc
  • BenevolentAI Ltd
  • CytoReason Ltd
  • Data4Cure Inc
  • Deep Genomics
  • DNAnexus Inc
  • Envisagenics Inc
  • Exscientia plc
  • Fabric Genomics Inc
  • Freenome Holdings Inc
  • Genomenon Inc
  • Genoox Ltd
  • Illumina Inc
  • Insilico Medicine
  • Lifebit Biotech Ltd
  • Microsoft Corporation
  • MolecularMatch Inc
  • NVIDIA Corporation
  • Owkin Inc
  • PathAI Inc
  • PrecisionLife Ltd
  • Qiagen NV
  • Recursion Pharmaceuticals Inc
  • SOPHiA GENETICS SA
  • Tempus AI Inc
  • Thermo Fisher Scientific Inc
  • Verge Genomics
  • WuXi NextCODE
Product Code: MRR-501246436E27

The Artificial Intelligence in Genomics Market is projected to grow by USD 10.13 billion at a CAGR of 27.74% by 2032.

KEY MARKET STATISTICS
Base Year [2025] USD 1.82 billion
Estimated Year [2026] USD 2.32 billion
Forecast Year [2032] USD 10.13 billion
CAGR (%) 27.74%

Artificial Intelligence in Genomics Executive Summary

Artificial intelligence in genomics is redefining how biological data is interpreted, validated, and translated into clinical, research, and public health outcomes. The convergence of next-generation sequencing, multi-omics, machine learning, deep learning, natural language processing, and cloud-based bioinformatics is enabling faster variant interpretation, improved disease risk assessment, more precise patient stratification, and scalable discovery across complex genomic datasets. As sequencing costs have declined and genome-scale datasets have expanded, AI has become increasingly important for identifying patterns that are difficult to detect through conventional computational approaches.

Across healthcare, pharmaceutical research, agriculture, population genomics, and precision medicine, AI-driven genomics supports applications including rare disease diagnosis, oncology biomarker discovery, pharmacogenomics, infectious disease surveillance, synthetic biology, gene editing analysis, and drug target identification. The field is also shaped by rising demand for explainable AI, privacy-preserving analytics, federated learning, regulatory-grade validation, and interoperable data standards. As genomic information becomes more integrated into clinical decision-making, stakeholders are prioritizing accuracy, reproducibility, ethical governance, and secure data collaboration to ensure AI-enabled genomics delivers measurable value without compromising privacy or equity.

Transformative Shifts in the AI Genomics Landscape

The AI in genomics landscape is undergoing transformative shifts driven by the rapid expansion of sequencing data, the maturation of machine learning architectures, and the growing use of genomics in routine healthcare and biomedical research. Deep learning models are increasingly used for variant calling, protein structure-function inference, genome annotation, tumor classification, and polygenic risk analysis, while transformer-based approaches are accelerating analysis of genomic sequences, electronic health records, and scientific literature. These advances are improving the ability to connect genotype, phenotype, environment, and treatment response.

Another major shift is the movement from siloed genomic analysis toward integrated multi-omics intelligence. Combining genomics with transcriptomics, proteomics, epigenomics, metabolomics, imaging, and clinical data is allowing researchers and clinicians to better understand disease mechanisms and therapeutic response. At the same time, privacy-preserving technologies such as federated learning, secure multiparty computation, and differential privacy are gaining relevance because genomic data is inherently identifiable and sensitive. Regulatory bodies and healthcare institutions are also increasing scrutiny of algorithmic transparency, bias mitigation, clinical validation, and data provenance, making responsible AI a core requirement rather than an optional capability.

Cumulative Impact of Artificial Intelligence on Genomics

The cumulative impact of artificial intelligence in genomics is most visible in the acceleration of discovery cycles and the improvement of analytical consistency across large-scale datasets. AI-enabled pipelines can process high-volume sequencing outputs, prioritize clinically relevant variants, detect structural variation, and assist in interpreting uncertain findings. In oncology, AI supports molecular tumor profiling, neoantigen prediction, therapy response modeling, and resistance mechanism analysis. In rare diseases, AI improves phenotype-genotype matching and can reduce diagnostic complexity by linking genomic variants with clinical features.

In drug discovery and development, AI-enhanced genomics is strengthening target validation, biomarker discovery, patient selection, and adverse event risk assessment. Pharmacogenomics is also benefiting from AI models that evaluate how genetic variation influences drug metabolism and efficacy. Public health use cases are expanding through pathogen genomics, antimicrobial resistance tracking, and outbreak surveillance. However, the cumulative impact depends on high-quality reference datasets, diverse population representation, interoperable infrastructure, and rigorous model evaluation. Without these foundations, AI systems risk amplifying existing genomic data biases and producing results that are less generalizable across ancestry groups and healthcare settings.

Key Regional Insights for AI in Genomics

Asia-Pacific is emerging as a high-activity region for AI in genomics due to large-scale population genomics programs, expanding sequencing capacity, digital health investments, and strong academic-clinical research networks. Countries across the region are using AI to support precision medicine, cancer genomics, reproductive health, infectious disease surveillance, and agricultural genomics. North America remains a leading hub for AI-enabled genomic innovation, supported by advanced biomedical research infrastructure, extensive clinical sequencing adoption, mature data science capabilities, and policy activity around responsible AI, data privacy, and genomic medicine implementation.

Europe is advancing AI in genomics through cross-border research collaboration, biobank-linked datasets, health data governance frameworks, and strong emphasis on privacy, ethics, and interoperability. The region's policy environment supports responsible data sharing while maintaining stringent protections for genetic information. Latin America is building momentum through genomic diversity initiatives, infectious disease genomics, and expanding precision health research, although uneven sequencing infrastructure and limited access to specialized bioinformatics resources continue to influence adoption. The Middle East is increasingly investing in national genome initiatives, rare disease research, and AI-enabled healthcare modernization, with particular relevance for hereditary disease studies and population-specific reference data. Africa is gaining strategic importance because of its exceptional genomic diversity, which is critical for reducing global bias in genomic AI models; progress is supported by growing research networks, pathogen genomics capacity, and population health priorities, while infrastructure, funding continuity, and data sovereignty remain central considerations.

Key Group Insights for AI in Genomics

ASEAN countries are increasingly integrating AI in genomics through digital health modernization, infectious disease surveillance, cancer research, and agricultural biotechnology. The region's diverse populations and healthcare systems create opportunities for locally relevant genomic AI models, but harmonized standards, workforce development, and secure data-sharing mechanisms are needed to strengthen cross-border collaboration. GCC countries are using genomics as part of broader healthcare transformation agendas, with AI supporting population screening, inherited disease research, personalized medicine, and advanced clinical analytics. High interest in national genomic datasets and precision healthcare is positioning the region as an important adopter of AI-enabled genomic infrastructure.

The European Union is shaping AI in genomics through coordinated health data policy, research funding, cross-border data spaces, and strong regulatory expectations for privacy, transparency, and clinical reliability. Its emphasis on trusted AI and interoperable health data is influencing global best practices. BRICS countries collectively represent a major opportunity for genomic AI because they combine large and genetically diverse populations, expanding sequencing ecosystems, and growing biomedical research capabilities. Their priorities include population genomics, public health surveillance, oncology, rare disease research, and cost-effective precision medicine. G7 countries continue to influence the direction of AI in genomics through advanced research infrastructure, regulatory leadership, standards development, and clinical implementation of genomic medicine. NATO member countries, while not a genomics-specific bloc, are increasingly relevant in areas such as biosecurity, pathogen surveillance, secure data infrastructure, and resilience planning, where AI-enabled genomics can support preparedness and cross-border health security.

Key Country Insights for AI in Genomics

The United States is a central driver of AI in genomics due to extensive biomedical research networks, widespread clinical sequencing, advanced AI talent, and strong activity in precision medicine, oncology, rare disease diagnostics, and pharmacogenomics. Canada contributes through population health research, AI expertise, genomic medicine programs, and ethical data governance models. Mexico is expanding genomic research with relevance to population diversity, metabolic disease, cancer, and public health applications, while Brazil is advancing genomics in infectious disease surveillance, biodiversity research, oncology, and population genetics, supported by a growing bioinformatics ecosystem.

In Europe, the United Kingdom has strong capabilities in genomics-enabled healthcare, biobank-linked research, and AI-driven clinical discovery. Germany is advancing AI genomics through biomedical engineering, molecular diagnostics, translational medicine, and data infrastructure initiatives, while France is emphasizing genomic medicine, national health data assets, oncology, and rare disease research. Russia maintains strengths in computational biology, population genetics, and biomedical research, though international collaboration dynamics and data governance conditions shape development. Italy and Spain are building AI genomics capabilities in oncology, inherited disease research, population health, and clinical genomics, supported by academic medical centers and European research collaboration.

China is investing heavily in sequencing, AI, precision medicine, agricultural genomics, and population-scale biomedical research, with strong relevance across oncology, reproductive genetics, and infectious disease applications. India is advancing AI in genomics through large and diverse population datasets, rare disease programs, public health genomics, cancer research, and cost-sensitive bioinformatics innovation. Japan applies AI-enabled genomics in aging-related disease research, oncology, pharmacogenomics, regenerative medicine, and high-quality clinical research environments. Australia is strengthening genomic medicine, rare disease diagnosis, cancer genomics, indigenous health research governance, and pathogen genomics, with AI supporting both clinical and public health applications. South Korea is using AI in genomics across precision oncology, digital health, population genomics, and biotechnology research, supported by strong healthcare digitization and advanced sequencing capabilities.

Actionable Recommendations for Industry Leaders

Industry leaders should prioritize clinically validated AI models, diverse training datasets, secure data architectures, and transparent governance frameworks to build trust in AI-enabled genomics. Investment should focus on interoperable data pipelines that connect sequencing data with phenotype, imaging, laboratory, treatment, and outcomes information. Organizations should implement model monitoring, bias assessment, reproducibility checks, and explainability tools to support regulatory readiness and clinical adoption.

Leaders should also pursue privacy-preserving collaboration models that allow institutions to learn from distributed genomic datasets without unnecessary data movement. Workforce development is essential, requiring teams that combine genomics, bioinformatics, clinical science, machine learning, ethics, cybersecurity, and regulatory expertise. For commercial and clinical deployment, decision-makers should align AI genomics solutions with clear use cases such as variant interpretation, oncology profiling, pharmacogenomics, rare disease diagnosis, and public health surveillance. Partnerships with hospitals, laboratories, academic groups, public health agencies, and standards organizations can improve data quality, validation depth, and implementation success.

Research Methodology

This executive summary is developed using a structured secondary research approach focused on verified, publicly available, and evidence-based sources relevant to artificial intelligence in genomics. The methodology emphasizes peer-reviewed scientific literature, regulatory guidance, public health publications, genomic medicine frameworks, standards documentation, and government or intergovernmental resources. Analysis is centered on technology adoption patterns, clinical and research applications, data governance, regional policy environments, and validated use cases rather than market sizing or revenue forecasting.

The research process includes thematic synthesis of AI-enabled genomic applications, cross-regional assessment of healthcare and research infrastructure, evaluation of data privacy and interoperability considerations, and review of emerging implementation priorities. Sources are assessed for credibility, recency, methodological transparency, and relevance to genomics, machine learning, precision medicine, and biomedical data science. Insights are triangulated across multiple evidence categories to reduce reliance on single-source claims and to support balanced interpretation of opportunities, risks, and operational implications.

Conclusion

Artificial intelligence in genomics is becoming a foundational capability for precision medicine, biomedical discovery, public health surveillance, and data-driven life sciences innovation. Its value lies in the ability to interpret complex genomic and multi-omics datasets, accelerate variant analysis, improve patient stratification, and uncover biologically meaningful patterns at scale. The most successful implementations will combine advanced algorithms with high-quality data, clinical validation, ethical governance, and secure collaboration models.

As adoption expands, the field must address persistent challenges including data bias, underrepresentation of diverse ancestries, interoperability gaps, explainability, privacy protection, and regulatory alignment. Regions and organizations that invest in responsible AI infrastructure, diverse genomic datasets, multidisciplinary expertise, and validated clinical workflows will be best positioned to translate AI-enabled genomics into durable scientific and healthcare impact.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Definition
  • 1.3. Market Segmentation & Coverage
  • 1.4. Years Considered for the Study
  • 1.5. Currency Considered for the Study
  • 1.6. Language Considered for the Study
  • 1.7. Key Stakeholders

2. Research Methodology

  • 2.1. Introduction
  • 2.2. Research Design
    • 2.2.1. Primary Research
    • 2.2.2. Secondary Research
  • 2.3. Research Framework
    • 2.3.1. Qualitative Analysis
    • 2.3.2. Quantitative Analysis
  • 2.4. Market Size Estimation
    • 2.4.1. Top-Down Approach
    • 2.4.2. Bottom-Up Approach
  • 2.5. Data Triangulation
  • 2.6. Research Outcomes
  • 2.7. Research Assumptions
  • 2.8. Research Limitations

3. Executive Summary

  • 3.1. Introduction
  • 3.2. CXO Perspective
  • 3.3. Market Size & Growth Trends
  • 3.4. New Revenue Opportunities
  • 3.5. Next-Generation Business Models
  • 3.6. Industry Roadmap

4. Market Overview

  • 4.1. Introduction
  • 4.2. Industry Ecosystem & Value Chain Analysis
    • 4.2.1. Supply-Side Analysis
    • 4.2.2. Demand-Side Analysis
    • 4.2.3. Stakeholder Analysis
  • 4.3. Market Dynamics
    • 4.3.1. Key Drivers
    • 4.3.2. Key Restraints
    • 4.3.3. Key Opportunities
    • 4.3.4. Key Challenges
  • 4.4. Porter's Five Forces Analysis
  • 4.5. PESTLE Analysis
  • 4.6. Market Outlook
    • 4.6.1. Near-Term Market Outlook (0-2 Years)
    • 4.6.2. Medium-Term Market Outlook (3-5 Years)
    • 4.6.3. Long-Term Market Outlook (5-10 Years)
  • 4.7. Go-to-Market Strategy

5. Market Insights

  • 5.1. Consumer Insights & End-User Perspective
  • 5.2. Consumer Experience Benchmarking
  • 5.3. Opportunity Mapping
  • 5.4. Distribution Channel Analysis
  • 5.5. Pricing Trend Analysis
  • 5.6. Regulatory Compliance & Standards Framework
  • 5.7. ESG & Sustainability Analysis
  • 5.8. Disruption & Risk Scenarios
  • 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Artificial Intelligence in Genomics Market, by AI Technique

  • 7.1. Introduction
  • 7.2. Deep Learning
    • 7.2.1. Autoencoders
    • 7.2.2. Convolutional Neural Networks
    • 7.2.3. Recurrent Neural Networks
  • 7.3. Machine Learning
    • 7.3.1. Reinforcement Learning
    • 7.3.2. Supervised Learning
    • 7.3.3. Unsupervised Learning
  • 7.4. Natural Language Processing
    • 7.4.1. Sentiment Analysis
    • 7.4.2. Text Mining

8. Artificial Intelligence in Genomics Market, by Service

  • 8.1. Introduction
  • 8.2. Bioinformatics Services
    • 8.2.1. Annotation
    • 8.2.2. Data Analysis
    • 8.2.3. Interpretation
  • 8.3. Consulting
    • 8.3.1. Implementation Support
    • 8.3.2. Strategy Development
  • 8.4. Sequencing Services
    • 8.4.1. Exome Sequencing
    • 8.4.2. Transcriptome Sequencing
    • 8.4.3. Whole Genome Sequencing
  • 8.5. Software & Platform
    • 8.5.1. Cloud-Based
    • 8.5.2. On-Premise

9. Artificial Intelligence in Genomics Market, by Sequencing Type

  • 9.1. Introduction
  • 9.2. Next Generation Sequencing
    • 9.2.1. Illumina
    • 9.2.2. Ion Torrent
    • 9.2.3. PacBio
  • 9.3. Sanger Sequencing
    • 9.3.1. Capillary
    • 9.3.2. Fluorescence

10. Artificial Intelligence in Genomics Market, by Application

  • 10.1. Introduction
  • 10.2. Agriculture & Animal Genomics
    • 10.2.1. Crop Improvement
    • 10.2.2. Livestock Breeding
  • 10.3. Diagnostics
    • 10.3.1. Clinical Diagnostics
    • 10.3.2. Research Diagnostics
  • 10.4. Drug Discovery
    • 10.4.1. Lead Identification
    • 10.4.2. Preclinical Testing
    • 10.4.3. Target Validation
  • 10.5. Precision Medicine
    • 10.5.1. Companion Diagnostics
    • 10.5.2. Personalized Therapeutics
    • 10.5.3. Pharmacogenomics

11. Artificial Intelligence in Genomics Market, by End User

  • 11.1. Introduction
  • 11.2. Academic & Research
    • 11.2.1. Research Institutes
    • 11.2.2. Universities
  • 11.3. Hospitals & Clinics
    • 11.3.1. Diagnostic Laboratories
    • 11.3.2. Medical Centers
  • 11.4. Pharma & Biotech
    • 11.4.1. Biotech Firms
    • 11.4.2. Large Pharma

12. Artificial Intelligence in Genomics Market, by Region

  • 12.1. Asia-Pacific
  • 12.2. Europe
  • 12.3. North America
  • 12.4. Latin America
  • 12.5. Africa
  • 12.6. Middle East

13. Artificial Intelligence in Genomics Market, by Group

  • 13.1. NATO
  • 13.2. G7
  • 13.3. BRICS
  • 13.4. European Union
  • 13.5. ASEAN
  • 13.6. GCC

14. Artificial Intelligence in Genomics Market, by Country

  • 14.1. China
  • 14.2. United States
  • 14.3. Japan
  • 14.4. India
  • 14.5. Germany
  • 14.6. United Kingdom
  • 14.7. Australia
  • 14.8. France
  • 14.9. South Korea
  • 14.10. Italy
  • 14.11. Canada
  • 14.12. Russia
  • 14.13. Brazil
  • 14.14. Mexico
  • 14.15. Spain

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2025
  • 15.2. FPNV Positioning Matrix, 2025
  • 15.3. Market Concentration Analysis, 2025
    • 15.3.1. Concentration Ratio (CR)
    • 15.3.2. Herfindahl Hirschman Index (HHI)
  • 15.4. Recent Developments & Impact Analysis, 2025
  • 15.5. Product Portfolio Analysis, 2025
  • 15.6. Benchmarking Analysis, 2025

16. Company Profiles

  • 16.1. 10x Genomics Inc
  • 16.2. Agilent Technologies Inc
  • 16.3. Alphabet Inc
  • 16.4. BenevolentAI Ltd
  • 16.5. CytoReason Ltd
  • 16.6. Data4Cure Inc
  • 16.7. Deep Genomics
  • 16.8. DNAnexus Inc
  • 16.9. Envisagenics Inc
  • 16.10. Exscientia plc
  • 16.11. Fabric Genomics Inc
  • 16.12. Freenome Holdings Inc
  • 16.13. Genomenon Inc
  • 16.14. Genoox Ltd
  • 16.15. Illumina Inc
  • 16.16. Insilico Medicine
  • 16.17. Lifebit Biotech Ltd
  • 16.18. Microsoft Corporation
  • 16.19. MolecularMatch Inc
  • 16.20. NVIDIA Corporation
  • 16.21. Owkin Inc
  • 16.22. PathAI Inc
  • 16.23. PrecisionLife Ltd
  • 16.24. Qiagen NV
  • 16.25. Recursion Pharmaceuticals Inc
  • 16.26. SOPHiA GENETICS SA
  • 16.27. Tempus AI Inc
  • 16.28. Thermo Fisher Scientific Inc
  • 16.29. Verge Genomics
  • 16.30. WuXi NextCODE

LIST OF FIGURES

  • FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET, YEARS CONSIDERED FOR THE STUDY
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET, RESEARCH DESIGN
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET, RESEARCH FRAMEWORK
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET, DATA TRIANGULATION
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, 2018-2032 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2025 VS 2032 (%)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2025 VS 2032 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2025 VS 2032 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2025 VS 2032 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2025 VS 2032 (%)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2025 VS 2032 (%)
  • FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY GROUP, 2025 VS 2032 (%)
  • FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY GROUP, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY COUNTRY, 2025 VS 2032 (%)
  • FIGURE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY COUNTRY, 2025 VS 2026 VS 2032 (USD MILLION)
  • FIGURE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SHARE, BY KEY PLAYER, 2025
  • FIGURE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET, FPNV POSITIONING MATRIX, BY KEY PLAYER, 2025

LIST OF TABLES

  • TABLE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SEGMENTATION & COVERAGE
  • TABLE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, 2018-2032 (USD MILLION)
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 4. GLOBAL DEEP LEARNING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 5. GLOBAL DEEP LEARNING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 6. GLOBAL DEEP LEARNING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 7. GLOBAL AUTOENCODERS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 8. GLOBAL AUTOENCODERS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 9. GLOBAL AUTOENCODERS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 10. GLOBAL CONVOLUTIONAL NEURAL NETWORKS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 11. GLOBAL CONVOLUTIONAL NEURAL NETWORKS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 12. GLOBAL CONVOLUTIONAL NEURAL NETWORKS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 13. GLOBAL RECURRENT NEURAL NETWORKS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 14. GLOBAL RECURRENT NEURAL NETWORKS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 15. GLOBAL RECURRENT NEURAL NETWORKS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 16. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 17. GLOBAL MACHINE LEARNING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 18. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 19. GLOBAL REINFORCEMENT LEARNING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 20. GLOBAL REINFORCEMENT LEARNING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 21. GLOBAL REINFORCEMENT LEARNING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 22. GLOBAL SUPERVISED LEARNING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 23. GLOBAL SUPERVISED LEARNING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 24. GLOBAL SUPERVISED LEARNING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 25. GLOBAL UNSUPERVISED LEARNING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 26. GLOBAL UNSUPERVISED LEARNING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 27. GLOBAL UNSUPERVISED LEARNING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 28. GLOBAL NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 29. GLOBAL NATURAL LANGUAGE PROCESSING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 30. GLOBAL NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 31. GLOBAL SENTIMENT ANALYSIS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 32. GLOBAL SENTIMENT ANALYSIS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 33. GLOBAL SENTIMENT ANALYSIS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 34. GLOBAL TEXT MINING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 35. GLOBAL TEXT MINING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 36. GLOBAL TEXT MINING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 38. GLOBAL BIOINFORMATICS SERVICES MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 39. GLOBAL BIOINFORMATICS SERVICES MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 40. GLOBAL BIOINFORMATICS SERVICES MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 41. GLOBAL ANNOTATION MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 42. GLOBAL ANNOTATION MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 43. GLOBAL ANNOTATION MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 44. GLOBAL DATA ANALYSIS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 45. GLOBAL DATA ANALYSIS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 46. GLOBAL DATA ANALYSIS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 47. GLOBAL INTERPRETATION MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 48. GLOBAL INTERPRETATION MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 49. GLOBAL INTERPRETATION MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 50. GLOBAL CONSULTING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 51. GLOBAL CONSULTING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 52. GLOBAL CONSULTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 53. GLOBAL IMPLEMENTATION SUPPORT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 54. GLOBAL IMPLEMENTATION SUPPORT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 55. GLOBAL IMPLEMENTATION SUPPORT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 56. GLOBAL STRATEGY DEVELOPMENT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 57. GLOBAL STRATEGY DEVELOPMENT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 58. GLOBAL STRATEGY DEVELOPMENT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 59. GLOBAL SEQUENCING SERVICES MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 60. GLOBAL SEQUENCING SERVICES MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 61. GLOBAL SEQUENCING SERVICES MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 62. GLOBAL EXOME SEQUENCING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 63. GLOBAL EXOME SEQUENCING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 64. GLOBAL EXOME SEQUENCING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 65. GLOBAL TRANSCRIPTOME SEQUENCING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 66. GLOBAL TRANSCRIPTOME SEQUENCING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 67. GLOBAL TRANSCRIPTOME SEQUENCING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 68. GLOBAL WHOLE GENOME SEQUENCING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 69. GLOBAL WHOLE GENOME SEQUENCING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 70. GLOBAL WHOLE GENOME SEQUENCING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 71. GLOBAL SOFTWARE & PLATFORM MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 72. GLOBAL SOFTWARE & PLATFORM MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 73. GLOBAL SOFTWARE & PLATFORM MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 74. GLOBAL CLOUD-BASED MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 75. GLOBAL CLOUD-BASED MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 76. GLOBAL CLOUD-BASED MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 77. GLOBAL ON-PREMISE MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 78. GLOBAL ON-PREMISE MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 79. GLOBAL ON-PREMISE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 81. GLOBAL NEXT GENERATION SEQUENCING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 82. GLOBAL NEXT GENERATION SEQUENCING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 83. GLOBAL NEXT GENERATION SEQUENCING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 84. GLOBAL ILLUMINA MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 85. GLOBAL ILLUMINA MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 86. GLOBAL ILLUMINA MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 87. GLOBAL ION TORRENT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 88. GLOBAL ION TORRENT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 89. GLOBAL ION TORRENT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 90. GLOBAL PACBIO MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 91. GLOBAL PACBIO MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 92. GLOBAL PACBIO MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 93. GLOBAL SANGER SEQUENCING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 94. GLOBAL SANGER SEQUENCING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 95. GLOBAL SANGER SEQUENCING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 96. GLOBAL CAPILLARY MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 97. GLOBAL CAPILLARY MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 98. GLOBAL CAPILLARY MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 99. GLOBAL FLUORESCENCE MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 100. GLOBAL FLUORESCENCE MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 101. GLOBAL FLUORESCENCE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 103. GLOBAL AGRICULTURE & ANIMAL GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 104. GLOBAL AGRICULTURE & ANIMAL GENOMICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 105. GLOBAL AGRICULTURE & ANIMAL GENOMICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 106. GLOBAL CROP IMPROVEMENT MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 107. GLOBAL CROP IMPROVEMENT MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 108. GLOBAL CROP IMPROVEMENT MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 109. GLOBAL LIVESTOCK BREEDING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 110. GLOBAL LIVESTOCK BREEDING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 111. GLOBAL LIVESTOCK BREEDING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 112. GLOBAL DIAGNOSTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 113. GLOBAL DIAGNOSTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 114. GLOBAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 115. GLOBAL CLINICAL DIAGNOSTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 116. GLOBAL CLINICAL DIAGNOSTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 117. GLOBAL CLINICAL DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 118. GLOBAL RESEARCH DIAGNOSTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 119. GLOBAL RESEARCH DIAGNOSTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 120. GLOBAL RESEARCH DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 121. GLOBAL DRUG DISCOVERY MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 122. GLOBAL DRUG DISCOVERY MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 123. GLOBAL DRUG DISCOVERY MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 124. GLOBAL LEAD IDENTIFICATION MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 125. GLOBAL LEAD IDENTIFICATION MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 126. GLOBAL LEAD IDENTIFICATION MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 127. GLOBAL PRECLINICAL TESTING MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 128. GLOBAL PRECLINICAL TESTING MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 129. GLOBAL PRECLINICAL TESTING MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 130. GLOBAL TARGET VALIDATION MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 131. GLOBAL TARGET VALIDATION MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 132. GLOBAL TARGET VALIDATION MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 133. GLOBAL PRECISION MEDICINE MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 134. GLOBAL PRECISION MEDICINE MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 135. GLOBAL PRECISION MEDICINE MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 136. GLOBAL COMPANION DIAGNOSTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 137. GLOBAL COMPANION DIAGNOSTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 138. GLOBAL COMPANION DIAGNOSTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 139. GLOBAL PERSONALIZED THERAPEUTICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 140. GLOBAL PERSONALIZED THERAPEUTICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 141. GLOBAL PERSONALIZED THERAPEUTICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 142. GLOBAL PHARMACOGENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 143. GLOBAL PHARMACOGENOMICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 144. GLOBAL PHARMACOGENOMICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 146. GLOBAL ACADEMIC & RESEARCH MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 147. GLOBAL ACADEMIC & RESEARCH MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 148. GLOBAL ACADEMIC & RESEARCH MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 149. GLOBAL RESEARCH INSTITUTES MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 150. GLOBAL RESEARCH INSTITUTES MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 151. GLOBAL RESEARCH INSTITUTES MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 152. GLOBAL UNIVERSITIES MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 153. GLOBAL UNIVERSITIES MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 154. GLOBAL UNIVERSITIES MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 155. GLOBAL HOSPITALS & CLINICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 156. GLOBAL HOSPITALS & CLINICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 157. GLOBAL HOSPITALS & CLINICS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 158. GLOBAL DIAGNOSTIC LABORATORIES MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 159. GLOBAL DIAGNOSTIC LABORATORIES MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 160. GLOBAL DIAGNOSTIC LABORATORIES MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 161. GLOBAL MEDICAL CENTERS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 162. GLOBAL MEDICAL CENTERS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 163. GLOBAL MEDICAL CENTERS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 164. GLOBAL PHARMA & BIOTECH MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 165. GLOBAL PHARMA & BIOTECH MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 166. GLOBAL PHARMA & BIOTECH MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 167. GLOBAL BIOTECH FIRMS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 168. GLOBAL BIOTECH FIRMS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 169. GLOBAL BIOTECH FIRMS MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 170. GLOBAL LARGE PHARMA MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 171. GLOBAL LARGE PHARMA MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 172. GLOBAL LARGE PHARMA MARKET SIZE, BY COUNTRY, 2018-2032 (USD MILLION)
  • TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 174. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 175. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 176. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 177. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 178. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 179. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 180. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 181. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 182. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 183. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 184. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 185. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 186. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 187. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 188. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 189. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 190. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 191. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 192. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 193. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 194. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 195. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 196. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 197. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 198. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 199. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 200. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 201. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 202. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 203. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 204. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 205. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 206. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 207. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 208. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 209. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 210. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 211. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 212. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 213. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 214. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 215. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 216. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 217. EUROPE ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 218. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 219. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 220. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 221. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 222. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 223. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 224. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 225. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 226. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 227. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 228. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 229. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 230. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 231. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 232. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 233. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 234. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 235. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 236. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 237. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 238. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 239. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 240. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 241. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 242. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 243. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 244. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 245. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 246. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 247. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 248. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 249. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 250. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 251. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 252. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 253. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 254. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 255. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 256. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 257. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 258. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 259. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 260. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 261. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 262. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 263. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 264. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 265. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 266. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 267. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 268. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 269. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 270. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 271. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 272. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 273. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 274. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 275. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 276. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 277. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 278. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 279. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 280. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 281. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 282. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 283. AFRICA ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 284. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY REGION, 2018-2032 (USD MILLION)
  • TABLE 285. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 286. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 287. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 288. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 289. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 290. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 291. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 292. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 293. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 294. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 295. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 296. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 297. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 298. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 299. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 300. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 301. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 302. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 303. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 304. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 305. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 306. GLOBAL ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 307. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 308. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 309. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032 (USD MILLION)
  • TABLE 310. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY MACHINE LEARNING, 2018-2032 (USD MILLION)
  • TABLE 311. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2032 (USD MILLION)
  • TABLE 312. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SERVICE, 2018-2032 (USD MILLION)
  • TABLE 313. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY BIOINFORMATICS SERVICES, 2018-2032 (USD MILLION)
  • TABLE 314. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY CONSULTING, 2018-2032 (USD MILLION)
  • TABLE 315. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING SERVICES, 2018-2032 (USD MILLION)
  • TABLE 316. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SOFTWARE & PLATFORM, 2018-2032 (USD MILLION)
  • TABLE 317. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SEQUENCING TYPE, 2018-2032 (USD MILLION)
  • TABLE 318. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY NEXT GENERATION SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 319. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY SANGER SEQUENCING, 2018-2032 (USD MILLION)
  • TABLE 320. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY APPLICATION, 2018-2032 (USD MILLION)
  • TABLE 321. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AGRICULTURE & ANIMAL GENOMICS, 2018-2032 (USD MILLION)
  • TABLE 322. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DIAGNOSTICS, 2018-2032 (USD MILLION)
  • TABLE 323. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2032 (USD MILLION)
  • TABLE 324. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PRECISION MEDICINE, 2018-2032 (USD MILLION)
  • TABLE 325. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY END USER, 2018-2032 (USD MILLION)
  • TABLE 326. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY ACADEMIC & RESEARCH, 2018-2032 (USD MILLION)
  • TABLE 327. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY HOSPITALS & CLINICS, 2018-2032 (USD MILLION)
  • TABLE 328. NATO ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY PHARMA & BIOTECH, 2018-2032 (USD MILLION)
  • TABLE 329. G7 ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY GROUP, 2018-2032 (USD MILLION)
  • TABLE 330. G7 ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY AI TECHNIQUE, 2018-2032 (USD MILLION)
  • TABLE 331. G7 ARTIFICIAL INTELLIGENCE IN GENOMICS MARKET SIZE, BY DEEP LEARNING, 2018-2032