市場調査レポート

商品コード

1619278

創薬におけるAIの市場規模、シェア、成長分析、コンポーネント別、技術別、用途別、地域別- 産業予測、2024～2031年

AI In Drug Discovery Market Size, Share, Growth Analysis, By Component (Software, Services), By Technology (Machine Learning, Deep Learning), By Application, By Region - Industry Forecast 2024-2031

出版日: 2024年12月18日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3～5営業日

価格

PDF & Excel (Single User License)

USD 5,300 760,921円

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PDF & Excel (Multiple User License)

USD 6,200 890,134円

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PDF & Excel (Enterprise License)

USD 7,100 1,019,347円

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全表示
概要
目次

概要

サンプル依頼リストに入れる

創薬におけるAIの世界市場規模は、2022年に18億米ドルと評価され、2023年の23億4,000万米ドルから2031年には193億5,000万米ドルに成長し、予測期間中（2024～2031年）のCAGRは30.2％で成長する見通しです。

ライフサイエンス分野における革新的な治療法のニーズや製造能力の強化を受けて、AIを活用した医薬品開発ソリューションの需要が急増しています。機械学習やディープラーニングなどの技術は、初期化合物のスクリーニングや臨床試験の成功率を向上させることで、創薬に革命をもたらしています。AI用途に焦点を当てた資金調達、投資、新興企業の流入が増加しており、市場は加速度的に成長する態勢にあります。臨床試験へのAIの統合は、正確性、効率性を高め、開発サイクルを短縮することで、状況を一変させつつあります。特に、製薬企業とAI企業との戦略的提携は2015年から2020年にかけて大幅に増加しており、創薬の迅速化におけるAIの重要な役割が浮き彫りになっています。データマイニングやカスタマイズを含むAI技術の汎用性が、この上昇軌道をさらに後押ししています。

北米
- 米国
- カナダ
欧州
- 英国
- ドイツ
- スペイン
- フランス
- イタリア
- その他欧州地域
アジア太平洋地域
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋地域
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
中東・アフリカ
- GCC諸国
- 南アフリカ
- その他中東・アフリカ

競合情報

上位5社の比較
主要企業の市場ポジショニング（2023年）
主な市場企業が採用した戦略
市場の最近の動向
企業の市場シェア分析（2023年）
主要企業の企業プロファイル
- 会社概要
- 製品ポートフォリオ分析
- セグメント別シェア分析
- 収益の前年比比較（2021-2023）

主要企業プロファイル

IBM Corporation
NVIDIA Corporation
Microsoft Corporation
Exscientia
Atomwise, Inc.
BenevolentAI
Insilico Medicine
Cyclica
Schrodinger, Inc.
Cloud Pharmaceuticals, Inc.
BioSymetrics
XtalPi Inc.
Deep Genomics
Numerate, Inc.
Berg LLC
OWKIN, Inc.
TwoXAR, Inc.
Verge Genomics
Recursion Pharmaceuticals
PathAI

結論と推奨事項

Product Code: SQMIG35J2061

Global AI in Drug Discovery Market size was valued at USD 1.80 billion in 2022 and is poised to grow from USD 2.34 billion in 2023 to USD 19.35 billion by 2031, growing at a CAGR of 30.2% during the forecast period (2024-2031).

The demand for AI-powered drug development solutions is surging in response to the need for innovative medical cures and enhanced manufacturing capabilities in the life sciences sector. Technologies like machine learning and deep learning are revolutionizing drug discovery by improving initial compound screening and clinical trial success rates. With a growing influx of funding, investments, and startups focused on AI applications, the market is poised for accelerated growth. AI's integration into clinical trials is transforming the landscape by enhancing accuracy, efficiency, and reducing development cycles. Notably, strategic collaborations between pharma companies and AI firms rose significantly from 2015 to 2020, highlighting AI's vital role in expediting drug discovery. The versatility of AI technologies, including data mining and customization, further propels this upward trajectory.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai In Drug Discovery market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Ai In Drug Discovery Market Segmental Analysis

Global AI in Drug Discovery Market is segmented by component, technology, application, therapeutic area, end use and region. Based on component, the market is segmented into software and services. Based on technology, the market is segmented into machine learning, deep learning, natural language processing (NLP) and others. Based on application, the market is segmented into target identification, molecule screening, lead optimization, preclinical testing, clinical trials and others. Based on therapeutic area, the market is segmented into oncology, neurodegenerative diseases, cardiovascular diseases, metabolic diseases, infectious diseases and others. Based on end use, the market is segmented into pharmaceutical & biotechnology companies, contract research organizations (CROs), academic & research institutes and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Ai In Drug Discovery Market

A significant driver of the Global AI in Drug Discovery market is the escalating investment in medical technology. As organizations strive for rapid advancements in drug discovery, substantial funding is directed towards research and development initiatives, especially in artificial intelligence and machine learning. These technologies not only streamline the identification of viable drug candidates but also significantly shorten the duration of clinical trials. Consequently, this leads to more efficient drug development processes, resulting in drugs reaching the market faster and at a reduced cost. The focus on innovative healthcare solutions continues to propel growth in this sector, underlining its essential role in modern therapeutics.

Restraints in the Global Ai In Drug Discovery Market

One of the main obstacles hindering the global AI in drug discovery market is the challenge of data security and privacy. Given the sensitive nature of healthcare data, there is a significant risk of breaches, leading to ethical and legal concerns. Companies in this sector must navigate strict regulations regarding data privacy and cybersecurity, which can elevate operational costs and result in delays in the adoption of AI-driven drug development solutions. As a result, the apprehension surrounding data handling can impede the growth and efficiency of AI applications in the pharmaceutical industry.

Market Trends of the Global Ai In Drug Discovery Market

The global AI in drug discovery market is witnessing a significant trend driven by the increasing application of AI in preclinical and clinical research. By leveraging advanced AI models, researchers are now able to identify biomarkers for disease progression, refine clinical trial designs, and predict patient responses with greater precision. This not only mitigates the risk of trial failures but also accelerates the testing process, ensuring timely identification of promising drug candidates. Enhanced accuracy in trial procedures and improved patient enrollment strategies are further propelling this trend, positioning AI as a crucial element in revolutionizing drug development and expediting the path to market for new therapeutics.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Driver & Opportunities
- Restraints & Challenges
Porters Analysis & Impact
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2023
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technological Advancement
Regulatory Landscape
Patent Analysis
Case Studies
Startup Analysis

Global AI in Drug Discovery Market Size by Component & CAGR (2024-2031)

Market Overview
Software
- Machine Learning
- Deep Learning
- Others
Services
- Implementation Services
- Maintenance & Support
- Others

Global AI in Drug Discovery Market Size by Technology & CAGR (2024-2031)

Market Overview
Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Deep Learning
Natural Language Processing (NLP)
Others

Global AI in Drug Discovery Market Size by Application & CAGR (2024-2031)

Market Overview
Target Identification
Molecule Screening
Lead Optimization
Preclinical Testing
Clinical Trials
Others

Global AI in Drug Discovery Market Size by Therapeutic Area & CAGR (2024-2031)

Market Overview
Oncology
Neurodegenerative Diseases
Cardiovascular Diseases
Metabolic Diseases
Infectious Diseases
Others

Global AI in Drug Discovery Market Size by End Use & CAGR (2024-2031)

Market Overview
Pharmaceutical & Biotechnology Companies
Contract Research Organizations (CROs)
Academic & Research Institutes
Others

Global AI in Drug Discovery Market Size & CAGR (2024-2031)

North America, (Component, Technology, Application, Therapeutic Area, End Use)
- US
- Canada
Europe, (Component, Technology, Application, Therapeutic Area, End Use)
- UK
- Germany
- Spain
- France
- Italy
- Rest of Europe
Asia-Pacific, (Component, Technology, Application, Therapeutic Area, End Use)
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
Latin America, (Component, Technology, Application, Therapeutic Area, End Use)
- Brazil
- Rest of Latin America
Middle East & Africa, (Component, Technology, Application, Therapeutic Area, End Use)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2023
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

IBM Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Corporation
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Exscientia
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Atomwise, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
BenevolentAI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Insilico Medicine
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cyclica
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Schrodinger, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cloud Pharmaceuticals, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
BioSymetrics
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
XtalPi Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Deep Genomics
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Numerate, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Berg LLC
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
OWKIN, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
TwoXAR, Inc.
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Verge Genomics
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Recursion Pharmaceuticals
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
PathAI
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments

創薬におけるAIの市場規模、シェア、成長分析、コンポーネント別、技術別、用途別、地域別- 産業予測、2024～2031年

AI In Drug Discovery Market Size, Share, Growth Analysis, By Component (Software, Services), By Technology (Machine Learning, Deep Learning), By Application, By Region - Industry Forecast 2024-2031

目次

イントロダクション

調査手法

エグゼクティブサマリー

市場力学と見通し

主な市場の考察

創薬におけるAIの市場規模：コンポーネント別& CAGR（2024-2031）

創薬におけるAIの市場規模：技術別& CAGR（2024-2031）

創薬におけるAIの市場規模：用途別& CAGR（2024-2031）

創薬におけるAIの市場規模：治療領域別& CAGR（2024-2031）

創薬におけるAIの市場規模：最終用途別& CAGR（2024-2031）

創薬におけるAIの市場規模& CAGR（2024-2031）