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市場調查報告書
商品編碼
2112626

2026-2034年全球人工智慧市場規模、佔有率、趨勢和成長分析報告（基因組學領域）

Global AI In Genomics Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 252 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球基因組學人工智慧市場預計將從2025年的14.5億美元成長至2034年的364.7億美元，2026年至2034年的複合年成長率（CAGR）將達到43.14%。隨著基因組資料集規模日益龐大且複雜，對能夠高效處理生物資訊的先進技術的需求不斷成長，該市場正蓬勃發展。人工智慧可以幫助研究人員分析基因序列、識別疾病相關突變並加速基因組分析。對精準醫療、生物技術研究和個人化醫療的投入不斷增加，正推動各機構採用人工智慧驅動的基因組平台。此外，定序技術的進步正在產生日益精細的資料集，為能夠從基因組資訊中提取有意義見解的計算工具創造了巨大的機會。

推動人工智慧技術發展的最強勁動力之一是人們對疾病早期檢測和個人化治療策略日益成長的關注。人工智慧演算法能夠結合臨床和生物學資訊分析基因變異，幫助研究人員識別潛在的生物標記和治療標靶。製藥公司也正在利用這些技術來改善藥物研發流程並闡明疾病機制。科技公司、研究機構和生技公司之間日益密切的合作進一步增強了創新能力。基因組資料庫的擴展、計算基礎設施的建設以及機器學習技術的進步，都在進一步推動醫療保健和生物醫學研究領域先進分析應用的發展。

隨著人工智慧日益融入基因組研究和臨床工作流程，其未來前景一片光明。深度學習、自然語言處理和預測建模技術的不斷進步，可望提升複雜遺傳訊息的解讀能力。人工智慧的應用將擴展至腫瘤學、罕見疾病、遺傳性疾病、藥物研發和群體基因組分析等領域。人工智慧的進一步普及將取決於資料隱私、法律規範、互通性以及高品質資料集的可用性。隨著定序的日益普及和醫療保健系統對個人化醫療的日益重視，人工智慧驅動的基因組分析有望成為先進醫療保健和生物醫學研究的關鍵要素。

我們的報告經過精心撰寫，旨在提供涵蓋廣泛行業和市場的全面且切實可行的洞察。每份報告都包含幾個關鍵組成部分，旨在幫助您全面了解市場環境：

市場概覽：本節對市場進行了清晰的說明，包括關鍵定義、分類以及當前行業格局的概述。

市場動態：對影響市場成長的主要促進因素、限制因素、機會和挑戰進行詳細評估。這包括技術發展、法律規範和不斷變化的行業趨勢等因素。

市場區隔分析：本部分依據產品類型、應用、最終使用者和地區，將市場系統性地分類為若干關鍵細分市場。本部分揭示了每個細分市場的表現、成長潛力和市場貢獻。

競爭格局：我們對主要市場參與企業進行了詳細評估，包括其市場定位、產品系列、策略舉措和財務表現。這有助於深入了解競爭趨勢和主要參與者所採取的策略。

市場預測：本部分提供基於數據的市場規模和成長模式預測，預測期為指定時期。它綜合考慮了歷史趨勢、當前市場狀況和定量分析，以識別預期的未來趨勢。

區域分析：這包括對主要地理區域的市場表現進行全面審查，以確定高成長領域和區域趨勢，從而更深入地了解每個區域的市場機會。

新趨勢與新機會：識別關鍵市場趨勢、技術進步和新興投資機會。本部分重點在於潛在成長領域和未來產業趨勢。

客製化選項：我們提供靈活的報告客製化服務，以滿足您的特定需求。這包括額外的細分、國家/地區特定分析、競爭對手分析、客製化資料點或專注於特定細分市場的洞察，從而更有效地支援您的策略決策。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章：全球基因組學人工智慧市場：按組件分類

  • 市場分析、洞察與預測
  • 軟體
  • 硬體
  • 服務

第5章：全球基因組學人工智慧市場：按技術分類

  • 市場分析、洞察與預測
  • 機器學習（ML）
  • 深度學習（監督學習、無監督學習及其他）
  • 電腦視覺

第6章：全球基因組學人工智慧市場：功能性

  • 市場分析、洞察與預測
  • 基因測序
  • 基因編輯
  • 其他

第7章：全球基因組學人工智慧市場：按應用領域分類

  • 市場分析、洞察與預測
  • 藥物發現與開發
  • 精準醫療
  • 診斷
  • 其他用途

第8章：全球基因組學人工智慧市場：依最終用途分類

  • 市場分析、洞察與預測
  • 製藥和生物技術公司
  • 醫療服務提供方
  • 研究中心
  • 其他

第9章：全球基因組學人工智慧市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第10章 競爭格局

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第11章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Amazon Web Services（AWS）
    • BenevolentAI
    • Data4CureInc
    • Deep Genomics
    • DNAnexus
    • Fabric Genomics
    • Freenome HoldingsInc
    • Genomenon
    • Ginkgo Bioworks
    • Google DeepMind
    • IBM
    • IlluminaInc
    • Insilico Medicine
    • Lifebit
    • Microsoft Corporation
    • NVIDIA Corporation
    • Oracle
    • PathAI
    • PrecisionLife
    • QIAGEN
    • Roche
    • SOPHiA GENETICS
    • Tempus AI
    • Thermo Fisher Scientific
簡介目錄
Product Code: VMR112116443

The global AI in genomics market size is expected to reach USD 36.47 Billion in 2034 from USD 1.45 Billion in 2025, growing at a CAGR of 43.14% during 2026-2034.This market is gaining momentum as genomic datasets become larger and more complex, creating demand for advanced technologies capable of processing biological information efficiently. Artificial intelligence helps researchers analyze genetic sequences, identify disease-associated mutations, and accelerate genomic interpretation. Growing investments in precision healthcare, biotechnology research, and personalized medicine are encouraging organizations to adopt AI-powered genomic platforms. Improvements in sequencing technologies are also generating increasingly detailed datasets, creating significant opportunities for computational tools capable of extracting meaningful insights from genomic information.

One of the strongest drivers is the growing emphasis on early disease detection and personalized treatment strategies. AI algorithms can analyze genetic variations alongside clinical and biological information, helping researchers identify potential biomarkers and therapeutic targets. Pharmaceutical companies are also using these technologies to improve drug discovery and understand disease mechanisms. Increasing collaborations between technology companies, research institutions, and biotechnology firms are strengthening innovation. Expanding genomic databases, improved computational infrastructure, and advances in machine learning are further supporting the development of sophisticated analytical applications for healthcare and biomedical research.

Future prospects are promising as AI becomes increasingly integrated into genomic research and clinical workflows. Continued improvements in deep learning, natural language processing, and predictive modeling could enhance the interpretation of complex genetic information. Applications may expand across oncology, rare diseases, inherited disorders, drug development, and population genomics. Greater adoption will depend on data privacy, regulatory frameworks, interoperability, and the availability of high-quality datasets. As sequencing becomes more accessible and healthcare systems increasingly embrace personalized approaches, AI-powered genomic analysis is expected to become an important component of advanced healthcare and biomedical research.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Component

  • Software
  • Hardware
  • Service

By Technology

  • Machine Learning (ML)
  • Deep Learning (Supervised, Unsupervised, Others)
  • Computer Vision

By Functionality

  • Genome Sequencing
  • Gene Editing
  • Others

By Application

  • Drug Discovery & Development
  • Precision Medicine
  • Diagnostics
  • Other Applications

By End Use

  • Pharmaceutical and Biotechnology Companies
  • Healthcare Providers
  • Research Centers
  • Others

COMPANIES PROFILED

  • Amazon Web Services (AWS), BenevolentAI, Data4Cure, Inc., Deep Genomics, DNAnexus, Fabric Genomics, Freenome Holdings, Inc., Genomenon, Ginkgo Bioworks, Google DeepMind, IBM, Illumina, Inc., Insilico Medicine, Lifebit, Microsoft Corporation, NVIDIA Corporation, Oracle, PathAI, PrecisionLife, QIAGEN, Roche, SOPHiA GENETICS, Tempus AI, Thermo Fisher Scientific

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN GENOMICS MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN GENOMICS MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Machine Learning (ML) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Deep Learning (Supervised, Unsupervised, Others) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN GENOMICS MARKET: BY FUNCTIONALITY 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Functionality
  • 6.2. Genome Sequencing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Gene Editing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN GENOMICS MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Application
  • 7.2. Drug Discovery & Development Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Precision Medicine Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Diagnostics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Other Applications Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AI IN GENOMICS MARKET: BY END USE 2022-2034 (USD MN)

  • 8.1. Market Analysis, Insights and Forecast End Use
  • 8.2. Pharmaceutical and Biotechnology Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.3. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.4. Research Centers Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 8.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AI IN GENOMICS MARKET: BY REGION 2022-2034 (USD MN)

  • 9.1. Regional Outlook
  • 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.2.1 By Component
    • 9.2.2 By Technology
    • 9.2.3 By Functionality
    • 9.2.4 By Application
    • 9.2.5 By End Use
    • 9.2.6 United States
    • 9.2.7 Canada
    • 9.2.8 Mexico
  • 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.3.1 By Component
    • 9.3.2 By Technology
    • 9.3.3 By Functionality
    • 9.3.4 By Application
    • 9.3.5 By End Use
    • 9.3.6 United Kingdom
    • 9.3.7 France
    • 9.3.8 Germany
    • 9.3.9 Italy
    • 9.3.10 Russia
    • 9.3.11 Rest Of Europe
  • 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.4.1 By Component
    • 9.4.2 By Technology
    • 9.4.3 By Functionality
    • 9.4.4 By Application
    • 9.4.5 By End Use
    • 9.4.6 India
    • 9.4.7 Japan
    • 9.4.8 South Korea
    • 9.4.9 Australia
    • 9.4.10 South East Asia
    • 9.4.11 Rest Of Asia Pacific
  • 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.5.1 By Component
    • 9.5.2 By Technology
    • 9.5.3 By Functionality
    • 9.5.4 By Application
    • 9.5.5 By End Use
    • 9.5.6 Brazil
    • 9.5.7 Argentina
    • 9.5.8 Peru
    • 9.5.9 Chile
    • 9.5.10 Rest of Latin America
  • 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 9.6.1 By Component
    • 9.6.2 By Technology
    • 9.6.3 By Functionality
    • 9.6.4 By Application
    • 9.6.5 By End Use
    • 9.6.6 Saudi Arabia
    • 9.6.7 UAE
    • 9.6.8 Israel
    • 9.6.9 South Africa
    • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

  • 10.1. Recent Developments
  • 10.2. Company Categorization
  • 10.3. Supply Chain & Channel Partners (based on availability)
  • 10.4. Market Share & Positioning Analysis (based on availability)
  • 10.5. Vendor Landscape (based on availability)
  • 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AI IN GENOMICS INDUSTRY

  • 11.1. Top Companies Market Share Analysis
  • 11.2. Company Profiles
    • 11.2.1 Amazon Web Services (AWS)
    • 11.2.2 BenevolentAI
    • 11.2.3 Data4CureInc
    • 11.2.4 Deep Genomics
    • 11.2.5 DNAnexus
    • 11.2.6 Fabric Genomics
    • 11.2.7 Freenome HoldingsInc
    • 11.2.8 Genomenon
    • 11.2.9 Ginkgo Bioworks
    • 11.2.10 Google DeepMind
    • 11.2.11 IBM
    • 11.2.12 IlluminaInc
    • 11.2.13 Insilico Medicine
    • 11.2.14 Lifebit
    • 11.2.15 Microsoft Corporation
    • 11.2.16 NVIDIA Corporation
    • 11.2.17 Oracle
    • 11.2.18 PathAI
    • 11.2.19 PrecisionLife
    • 11.2.20 QIAGEN
    • 11.2.21 Roche
    • 11.2.22 SOPHiA GENETICS
    • 11.2.23 Tempus AI
    • 11.2.24 Thermo Fisher Scientific