計算生物学市場：サービス、用途、最終用途別-2025-2030年の世界予測

計算生物学市場の2023年の市場規模は62億5,000万米ドルで、2024年には74億2,000万米ドルに達すると予測され、CAGR 18.91％で成長し、2030年には210億1,000万米ドルに達すると予測されています。

計算生物学は、生物学、コンピュータサイエンス、物理学、数学の力を結集し、生物システムのシミュレーションとモデリングを行う学際的な分野です。ゲノミクス、プロテオミクス、システムバイオロジーを含み、さまざまな生物学的研究によって生成される膨大なデータの管理と解析を容易にします。計算生物学の必要性は、創薬を加速し、医療を個別化し、複雑な生物学的プロセスの理解を深める能力から生まれます。計算生物学の用途は、創薬、疾患モデリング、農業バイオテクノロジーに及び、製薬、ヘルスケア、農業などの最終用途分野に影響を与えています。計算生物学市場は、技術の進歩、研究開発投資の増加、予測モデリングツールの採用増加によって大きく牽引されています。しかし、潜在的な成長機会は、健康への関心の高まりと個別化治療への需要による臨床診断とがんゲノミクスにおけるバイオインフォマティクスの拡大にあります。企業は、発見と予測能力を高めるために、統合された計算プラットフォームの開発と機械学習アルゴリズムの強化に注力すべきです。有望な見通しとはいえ、市場はツールやソフトウェアのコスト高、生物学的システムの複雑さ、データセキュリティへの懸念といった課題に直面しており、採用率が鈍化する可能性があります。こうしたハードルを克服するには、分野横断的な協力体制の強化、データ統合手法の改善、費用対効果の高いソリューションへの投資が必要です。技術革新の可能性がある分野としては、合成生物学の進歩、CRISPR技術、ゲノム編集やタンパク質構造予測のための人工知能アプリケーションなどが挙げられます。ビジネスの成長にとって、こうしたイノベーション分野で先んじることは、大きなメリットをもたらす可能性があります。市場競争は激しいが急速に進化しており、生物学研究の精度と効率を高めるためのブレークスルーを追求する企業が絶えないです。このような課題に取り組み、イノベーションを効果的に活用する企業は、大きな市場シェアを獲得するのに有利な立場にあります。

市場力学：急速に進化する計算生物学市場の主要市場インサイトを公開

計算生物学市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的意思決定、新たなビジネスチャンスの獲得を行うことができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができるとともに、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 個別化医療のニーズの高まり
  • バイオインフォマティクス研究の拡大と臨床研究の増加
  • がん治療薬における計算生物学の採用
• 市場抑制要因
  • 計算ツールを操作する熟練した専門家の不足
• 市場機会
  • 細胞モデリングにおけるバイオインフォマティクスとマルチスケール生物学モデリングの利用加速
  • バイオインフォマティクスへの資金提供の増加と計算生物学分野の進歩
• 市場の課題
  • 相互運用性とマルチプラットフォーム機能の不足と、十分に定義された標準の欠如

ポーターの5つの力：計算生物学市場をナビゲートする戦略ツール

ポーターの5つの力フレームワークは、計算生物学市場の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：計算生物学市場における外部からの影響の把握

外部マクロ環境要因は、計算生物学市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析計算生物学市場における競合情勢の把握

計算生物学市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的な意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス計算生物学市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、計算生物学市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限はベンダーを明確かつ正確に区分し、ユーザーが戦略目標に最適なパートナーやソリューションを特定するのに役立ちます。

本レポートは、主要な注目分野を網羅した包括的な市場分析を提供しています：

1.市場の浸透度：業界主要企業の広範なデータを含む、現在の市場環境の詳細なレビュー。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 個別化医療のニーズの高まり
    • バイオインフォマティクス調査の発展と臨床研究の増加
    • 腫瘍治療における計算生物学の採用
  • 抑制要因
    • 計算ツールを操作する熟練した専門家の不足
  • 機会
    • 細胞モデリングにおけるバイオインフォマティクスとマルチスケール生物学的モデリングの利用の加速
    • バイオインフォマティクスへの資金提供の増加と計算生物学分野の進歩
  • 課題
    • 相互運用性とマルチプラットフォーム機能の不足、および明確に定義された標準の欠如
• 市場セグメンテーション分析
  • サービス：機密データや独自の調査を扱う社内計算生物学機能の利点
  • アプリケーション：医薬品開発パイプラインを合理化するための計算生物学の重要なアプリケーション
  • 最終用途：応用調査の課題に取り組む商業組織における計算生物学の採用の増加
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境
• 顧客のカスタマイズ

第6章 計算生物学市場：サービス別

• 契約
• 社内

第7章 計算生物学市場：用途別

• 細胞生物学的シミュレーション
• 臨床試験
• 創薬と疾患モデル化
• 人体シミュレーションソフトウェア
• 前臨床医薬品開発

第8章 計算生物学市場：最終用途別

• 学術
• 商業用

第9章 南北アメリカの計算生物学市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域の計算生物学市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカの計算生物学市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
  • バイオインフォマティクス、計算生物学、健康データサイエンスの分野でキャリアを築くカナダの若手研究者向けの新たな資金が利用可能
  • Pluto、Silverton Partners主導による370万米ドルのシードラウンドを発表
  • アクセンチュア、AIを活用した創薬と個別化医療の開発を加速するため、オーシャンゲノミクスに投資

企業一覧

• Thermo Fisher Scientific Inc.
• SOPHiA GENETICS
• Eurofins Scientific SE
• Chemical Computing Group Inc.
• Nimbus Discovery Llc
• Simulation Plus Inc.
• Instem Group
• Ocean Genomics
• DNASTAR, Inc.
• Waters Corporation
• DNAnexus, Inc.
• Rosa & Co. Llc
• BGI Group
• Dassault Systemes SE
• Biomax Informatics AG
• PerkinElmer, Inc.
• ProFound Therapeutics
• Insilico Medicine
• WuXi NextCODE
• Genedata AG
• Schrodinger, Inc.
• QIAGEN N.V.
• Agilent Technologies, Inc.
• Pluto Bioinformatics
• Illumina, Inc.
• Compugen Ltd.

LIST OF FIGURES

• FIGURE 1. COMPUTATIONAL BIOLOGY MARKET RESEARCH PROCESS
• FIGURE 2. COMPUTATIONAL BIOLOGY MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. COMPUTATIONAL BIOLOGY MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. COMPUTATIONAL BIOLOGY MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. COMPUTATIONAL BIOLOGY MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. COMPUTATIONAL BIOLOGY MARKET DYNAMICS
• TABLE 7. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CONTRACT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY IN-HOUSE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CELLULAR BIOLOGICAL SIMULATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY CLINICAL TRIALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY DRUG DISCOVERY & DISEASE MODELLING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY HUMAN BODY SIMULATION SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY PRECLINICAL DRUG DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY ACADEMICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL COMPUTATIONAL BIOLOGY MARKET SIZE, BY COMMERCIAL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 20. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 21. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 22. AMERICAS COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 23. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 24. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 25. ARGENTINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 26. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 27. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 28. BRAZIL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 29. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 30. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 31. CANADA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 32. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 33. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. MEXICO COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 35. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 36. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 37. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 38. UNITED STATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 39. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 40. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 41. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 42. ASIA-PACIFIC COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 43. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 44. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 45. AUSTRALIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 46. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 47. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 48. CHINA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 49. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 50. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 51. INDIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 52. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 53. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. INDONESIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 55. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 56. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 57. JAPAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 58. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 59. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 60. MALAYSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 61. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 62. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 63. PHILIPPINES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 64. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 65. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 66. SINGAPORE COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 67. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 68. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 69. SOUTH KOREA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 70. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 71. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 72. TAIWAN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 73. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 74. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. THAILAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 76. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 77. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 78. VIETNAM COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 79. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 80. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 81. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 82. EUROPE, MIDDLE EAST & AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 83. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 84. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. DENMARK COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 86. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 87. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 88. EGYPT COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 89. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 90. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. FINLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 92. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 93. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 94. FRANCE COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 95. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 96. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 97. GERMANY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 98. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 99. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. ISRAEL COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 101. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 102. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 103. ITALY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 104. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 105. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 106. NETHERLANDS COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 107. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 108. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 109. NIGERIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 110. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 111. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 112. NORWAY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 113. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 114. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 115. POLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 116. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 117. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 118. QATAR COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 119. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 120. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 121. RUSSIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 122. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 123. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 124. SAUDI ARABIA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 125. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 126. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 127. SOUTH AFRICA COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 128. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 129. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. SPAIN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 131. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 132. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 133. SWEDEN COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 134. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 135. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 136. SWITZERLAND COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 137. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 138. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 139. TURKEY COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 140. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 141. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 142. UNITED ARAB EMIRATES COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 143. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 144. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 145. UNITED KINGDOM COMPUTATIONAL BIOLOGY MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 146. COMPUTATIONAL BIOLOGY MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 147. COMPUTATIONAL BIOLOGY MARKET, FPNV POSITIONING MATRIX, 2023

The Computational Biology Market was valued at USD 6.25 billion in 2023, expected to reach USD 7.42 billion in 2024, and is projected to grow at a CAGR of 18.91%, to USD 21.01 billion by 2030.

Computational Biology is a multidisciplinary field that combines the power of biology, computer science, physics, and mathematics to simulate and model biological systems. Its scope includes genomics, proteomics, and systems biology, facilitating the management and analysis of the vast data generated through various biological research. The necessity of computational biology arises from its ability to accelerate drug discovery, personalize medicine, and enhance our understanding of complex biological processes. Its applications span across drug design, disease modeling, and agricultural biotechnology, influencing end-use sectors such as pharmaceuticals, healthcare, and agriculture. The market for computational biology is significantly driven by technological advancements, increasing investments in R&D, and a rise in the adoption of predictive modeling tools. However, potential growth opportunities lie in the expansion of bioinformatics in clinical diagnostics and cancer genomics due to increasing health concerns and the demand for personalized treatments. Companies should focus on developing integrated computational platforms and enhancing machine learning algorithms to boost discovery and predictive capabilities. Despite promising prospects, the market faces challenges such as high costs of tools and software, the complexity of biological systems, and data security concerns, which could slow down adoption rates. Overcoming these hurdles involves increasing cross-disciplinary collaborations, improving data integration methods, and investing in cost-effective solutions. Potential areas of innovation include advancements in synthetic biology, CRISPR technology, and artificial intelligence applications for genome editing and protein structure prediction. For business growth, staying ahead in these innovation fields could provide significant advantages. The nature of the computational biology market is competitive yet rapidly evolving, with players continually seeking breakthroughs to enhance precision and efficiency in biological research. Companies that address these challenges and leverage their innovations effectively are well-placed to capture significant market share.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Computational Biology Market

The Computational Biology Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising Need for Personalized Medicine
  • Growing Bioinformatics Research and Increasing Number of Clinical Studies
  • Adoption of Computational Biology in Oncology Therapeutics
• Market Restraints
  • Dearth of Skilled Professionals to Operate Computational Tools
• Market Opportunities
  • Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
  • Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
• Market Challenges
  • Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards

Porter's Five Forces: A Strategic Tool for Navigating the Computational Biology Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Computational Biology Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Computational Biology Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Computational Biology Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Computational Biology Market

A detailed market share analysis in the Computational Biology Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Computational Biology Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Computational Biology Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Key Company Profiles

The report delves into recent significant developments in the Computational Biology Market, highlighting leading vendors and their innovative profiles. These include Thermo Fisher Scientific Inc., SOPHiA GENETICS, Eurofins Scientific SE, Chemical Computing Group Inc., Nimbus Discovery Llc, Simulation Plus Inc., Instem Group, Ocean Genomics, DNASTAR, Inc., Waters Corporation, DNAnexus, Inc., Rosa & Co. Llc, BGI Group, Dassault Systemes SE, Biomax Informatics AG, PerkinElmer, Inc., ProFound Therapeutics, Insilico Medicine, WuXi NextCODE, Genedata AG, Schrodinger, Inc., QIAGEN N.V., Agilent Technologies, Inc., Pluto Bioinformatics, Illumina, Inc., and Compugen Ltd..

Market Segmentation & Coverage

This research report categorizes the Computational Biology Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Services, market is studied across Contract and In-house.
• Based on Application, market is studied across Cellular Biological Simulation, Clinical Trials, Drug Discovery & Disease Modelling, Human Body Simulation Software, and Preclinical Drug Development.
• Based on End-Use, market is studied across Academics and Commercial.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

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

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising Need for Personalized Medicine
    • 5.1.1.2. Growing Bioinformatics Research and Increasing Number of Clinical Studies
    • 5.1.1.3. Adoption of Computational Biology in Oncology Therapeutics
  • 5.1.2. Restraints
    • 5.1.2.1. Dearth of Skilled Professionals to Operate Computational Tools
  • 5.1.3. Opportunities
    • 5.1.3.1. Accelerating Use of Bioinformatics and Multiscale Biological Modeling in Cell Modeling
    • 5.1.3.2. Increased Funding in Bioinformatics Coupled with Advancements in the Field of Computational Biology
  • 5.1.4. Challenges
    • 5.1.4.1. Insufficiency of Interoperability and Multiplatform Capabilities and Lack of Well-Defined Standards
• 5.2. Market Segmentation Analysis
  • 5.2.1. Services: Benefits of in-house computational biology capabilities to handle sensitive data or proprietary research
  • 5.2.2. Application: Significant applications of computational biology to streamline the drug development pipeline
  • 5.2.3. End-Use: Growing adoption of computational biology in commercial entities to tackle applied research challenges
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental
• 5.5. Client Customization

6. Computational Biology Market, by Services

• 6.1. Introduction
• 6.2. Contract
• 6.3. In-house

7. Computational Biology Market, by Application

• 7.1. Introduction
• 7.2. Cellular Biological Simulation
• 7.3. Clinical Trials
• 7.4. Drug Discovery & Disease Modelling
• 7.5. Human Body Simulation Software
• 7.6. Preclinical Drug Development

8. Computational Biology Market, by End-Use

• 8.1. Introduction
• 8.2. Academics
• 8.3. Commercial

9. Americas Computational Biology Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Computational Biology Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Computational Biology Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
  • 12.3.1. New Funds Available for Early Career Canadian Researchers Building Careers in Bioinformatics, Computational Biology, or Health Data Sciences
  • 12.3.2. Pluto Announces USD 3.7M Seed Round, Led by Silverton Partners
  • 12.3.3. Accenture Invests in Ocean Genomics to Accelerate AI-driven Drug Discovery and the Development of Personalized Medicines

Companies Mentioned

• 1. Thermo Fisher Scientific Inc.
• 2. SOPHiA GENETICS
• 3. Eurofins Scientific SE
• 4. Chemical Computing Group Inc.
• 5. Nimbus Discovery Llc
• 6. Simulation Plus Inc.
• 7. Instem Group
• 8. Ocean Genomics
• 9. DNASTAR, Inc.
• 10. Waters Corporation
• 11. DNAnexus, Inc.
• 12. Rosa & Co. Llc
• 13. BGI Group
• 14. Dassault Systemes SE
• 15. Biomax Informatics AG
• 16. PerkinElmer, Inc.
• 17. ProFound Therapeutics
• 18. Insilico Medicine
• 19. WuXi NextCODE
• 20. Genedata AG
• 21. Schrodinger, Inc.
• 22. QIAGEN N.V.
• 23. Agilent Technologies, Inc.
• 24. Pluto Bioinformatics
• 25. Illumina, Inc.
• 26. Compugen Ltd.