バイオテクノロジーにおける人工知能市場：コンポーネント、技術、組織規模、用途分野、エンドユーザー、展開モード別 - 2025年～2030年の世界予測

バイオテクノロジーにおける人工知能市場は、2024年に31億8,000万米ドルと評価され、2025年には36億5,000万米ドル、CAGR16.17%で成長し、2030年には78億2,000万米ドルに達すると予測されています。

人工知能（AI）は、バイオテクノロジー分野における変革の要として急速に台頭しています。近年、AIを搭載したツールは実験的な技術からイノベーションの不可欠な推進力へと進化し、研究者や企業は同様に、複雑な生物学的プロセスをかつてない精度で探求できるようになりました。このようなテクノロジーと生物学の融合は、創薬を加速し、診断精度を向上させるだけでなく、研究手法を合理化し、業務効率を高めています。

バイオテクノロジーにおけるAI革命は、ゲノミクス、プロテオミクス、臨床記録から得られる膨大なデータセットと複雑なアルゴリズムのシームレスな統合によって特徴付けられます。組織は現在、高度な機械学習モデルやディープラーニング技術を活用して、結果を予測し、プロセスを最適化し、手作業による調査によって課せられていた従来の障壁を減らしています。業界が進化するにつれ、意思決定者は、急速な技術の進歩がもたらす刺激的な可能性と固有の課題の両方に対処しなければならないです。本レポートでは、現在の状況を詳細に調査し、バイオテクノロジー領域における研究開発および商業化の再定義においてAIが果たす極めて重要な役割に焦点を当てています。

新たなソリューションへの継続的な投資とAI技術の積極的な活用により、この分野は臨床とオペレーションの両パラダイムにおける根本的なシフトを示す見込みです。このイノベーションの新時代を乗り切る中で、AIとバイオテクノロジーの効果的な統合はもはやオプションではなく、持続的な成長と競争上の優位性を確保するための重要な必須事項であることがますます明らかになっています。

変革のシフト：AIによるバイオテクノロジーの再定義

ここ数年、バイオテクノロジーを取り巻く環境は、AIの進歩によって劇的かつ変革的な変化を遂げています。企業や研究機関は、従来の手法から大きく脱却し、大規模な生物学的データを管理・解釈するデジタルツールを導入しています。AIの役割は、創薬プロセスの加速化から臨床的意思決定の強化まで多岐にわたり、より迅速なターンアラウンドタイムと患者転帰の改善を可能にしています。

この変革は、ニューラル・ネットワーク、コンピュータ・ビジョン、ディープ・ラーニング、ロボティック・プロセス・オートメーションなどの技術革新により、バイオテクノロジー企業の分析能力が再定義された、アルゴリズム・アプローチのブレークスルーによるところが大きいです。研究開発にAIを導入することで、膨大な遺伝子、分子、臨床データを実用的な洞察に変え、新たな次元のデータインテリジェンスが誕生します。テクノロジーの進化は、単にプロセスを効率化するだけでなく、初期段階の研究から販売後のサービス提供に至るまで、バイオテクノロジー事業の青写真を根本的に描き直しています。

さらに、ヘルスケアにおける複雑な課題への俊敏性の必要性が、AIの導入を加速させています。企業は現在、予測分析、自動診断、個別化医療戦略をサポートする多面的なプラットフォームを統合しています。AIが進歩するたびに飛躍的な進歩を遂げ、かつては推測の域を出ないと考えられていた新たな応用分野やパラダイムへの道が開かれています。このシフトは競合の境界を再定義し、患者ケア、調査精度、業界全体の有効性を変革する可能性を秘めた画期的な進歩の舞台を整えつつあります。

主要セグメントに関する洞察市場力学と機会を読み解く

バイオテクノロジーにおけるAI市場は、技術面および業務面の広範な側面を反映する多次元的なセグメンテーションの枠組みによって解剖されます。構成要素に基づく分析から、市場はサービスとソリューションという2つの主要部門にわたって調査されていることが明らかになりました。サービスには、コンサルティング、インプリメンテーション、ポストセールスおよびメンテナンスサービス、トレーニングと教育といった専門的な機能が含まれ、ソリューション部門は、革新的なアプリケーションを推進するプラットフォームとソフトウェアに重点を置いて分析されています。

テクノロジーという切り口で市場を詳しく見ると、コンピューター・ビジョン、ディープラーニング、機械学習、自然言語処理、ニューラルネットワーク、ロボティック・プロセス・オートメーションなどの分野が堅調であることがわかる。この技術的多様性は、大企業のダイナミックな環境と中小企業の機敏なオペレーションを区別する、組織規模に基づくセグメンテーションによって補完されています。このようなセグメンテーションはさらに、農業バイオテクノロジー、臨床試験、診断、ゲノム解析、個別化医療、精密医療、研究開発においてAI主導の改善からバイオテクノロジーが恩恵を受けている応用分野にも及んでいます。

さらに、農業機関、バイオテクノロジー企業、ヘルスケアプロバイダー、製薬会社、革新の先駆者である研究機関や学術機関など、エンドユーザーセグメンテーションを調査することで、さらなる洞察が明らかになります。さらに、導入形態のセグメンテーションでは、クラウド、ハイブリッド、オンプレミスの各ソリューションの戦略的重要性が強調されています。この包括的で微妙なセグメンテーションの枠組みは、市場動向の根底を解明するだけでなく、将来の投資と協力の機が熟した分野を特定するのにも役立ちます。

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
    • 効率的なバイオテクノロジーワークフローの最適化のためのAI駆動型プラットフォームの採用増加
    • ゲノムデータの急速な生成には、効率的なデータ管理と分析のためのAIが必要です。
    • パーソナライズ医療の需要増加がバイオテクノロジー研究室におけるAIの統合を促進
  • 抑制要因
    • バイオテクノロジーインフラ内でAIシステムを実装する際のコストと複雑さの懸念
  • 機会
    • 臨床試験管理にAIを導入し、患者の募集と試験の効率性を改善
    • 健康に影響を与える遺伝子変異を効率的に特定・分類するためのAI技術の導入
  • 課題
    • データのプライバシーを確保し、大量の機密性の高い生体分子データを安全に処理する
• 市場セグメンテーション分析
  • コンポーネント：データ分析の改善のためのソフトウェアソリューションの好感度の高まり
  • エンドユーザー：農業機関におけるバイオテクノロジーにおける人工知能の採用増加
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治
  • 経済
  • 社会
  • 技術
  • 法律
  • 環境

第6章 バイオテクノロジーにおける人工知能市場：コンポーネント別

• サービス
  • コンサルティング
  • 実装
  • アフターサービスおよびメンテナンスサービス
  • トレーニングおよび教育サービス
• ソリューション
  • プラットフォーム
  • ソフトウェア

第7章 バイオテクノロジーにおける人工知能市場：技術別

• コンピュータビジョン
• ディープラーニング
• 機械学習
• 自然言語処理
• ニューラルネットワーク
• ロボティックプロセスオートメーション

第8章 バイオテクノロジーにおける人工知能市場：組織規模別

• 大企業
• 中小企業

第9章 バイオテクノロジーにおける人工知能市場：用途分野別

• 農業バイオテクノロジー
• 臨床試験
• 診断
• ゲノム解析
• パーソナライズ医療
• 精密医療
• 研究開発

第10章 バイオテクノロジーにおける人工知能市場：エンドユーザー別

• 農業研究所
• バイオテクノロジー企業
• ヘルスケア提供者
• 製薬会社
• 研究・学術機関

第11章 バイオテクノロジーにおける人工知能市場：展開モード別

• クラウド
• ハイブリッド
• オンプレミス

第12章 南北アメリカのバイオテクノロジーにおける人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第13章 アジア太平洋地域のバイオテクノロジーにおける人工知能市場

• 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14章 欧州・中東・アフリカのバイオテクノロジーにおける人工知能市場

• 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15章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• Atomwise, Inc.
• BenevolentAI, Ltd.
• BERG Health, LLC
• Cytel, Inc.
• CytoReason, Ltd.
• Deep Genomics, Inc.
• Envisagenics, Inc.
• Exscientia, plc
• Genialis, Inc.
• GNS Healthcare, Inc.
• Insitro, Inc.
• NuMedii, Inc.
• Owkin, Inc.
• PathAI, Inc.
• Recursion Pharmaceuticals, Inc.
• Tempus Labs, Inc.
• TwoXAR Pharmaceuticals, Inc.
• Valo Health, LLC
• Verge Genomics, Inc.
• Zymergen, Inc.

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET MULTI-CURRENCY
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET MULTI-LANGUAGE
• FIGURE 3. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET RESEARCH PROCESS
• FIGURE 4. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2024 VS 2030 (%)
• FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
• FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
• FIGURE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 21. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 23. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 25. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 26. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 27. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 28. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 29. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY IMPLEMENTATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY POST-SALES & MAINTENANCE SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TRAINING & EDUCATION SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY PLATFORM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY NEURAL NETWORKS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ROBOTIC PROCESS AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY AGRICULTURE BIOTECHNOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY CLINICAL TRIALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DIAGNOSTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY GENOMICS ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY PERSONALIZED MEDICINE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY PRECISION MEDICINE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY RESEARCH & DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY AGRICULTURAL INSTITUTES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY BIOTECHNOLOGY FIRMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY HEALTHCARE PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY PHARMACEUTICAL COMPANIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY RESEARCH & ACADEMIC INSTITUTIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 46. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 47. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 48. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 49. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 50. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 51. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 52. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 53. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 54. AMERICAS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 55. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 56. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 57. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 58. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 59. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 60. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 61. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 62. ARGENTINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 63. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 64. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 65. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 66. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 67. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 68. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 69. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 70. BRAZIL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 71. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 72. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 73. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 74. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 75. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 76. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 77. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 78. CANADA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 79. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 80. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 81. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 82. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 83. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 84. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 85. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 86. MEXICO ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 87. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 88. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 89. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 90. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 91. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 92. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 93. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 94. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 95. UNITED STATES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 96. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 97. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 98. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 99. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 100. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 101. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 102. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 103. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 104. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 105. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 106. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 107. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 108. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 109. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 110. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 111. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 112. AUSTRALIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 113. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 114. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 115. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 116. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 117. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 118. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 119. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 120. CHINA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 121. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 122. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 123. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 124. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 125. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 126. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 127. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 128. INDIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 129. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 130. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 131. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 132. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 133. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 134. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 135. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 136. INDONESIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 137. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 138. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 139. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 140. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 141. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 142. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 143. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 144. JAPAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 145. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 146. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 147. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 148. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 149. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 150. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 151. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 152. MALAYSIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 153. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 154. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 155. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 156. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 157. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 158. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 159. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 160. PHILIPPINES ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 161. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 162. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 163. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 164. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 165. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 166. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 167. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 168. SINGAPORE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 169. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 170. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 171. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 172. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 173. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 174. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 175. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 176. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 177. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 178. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 179. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 180. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 181. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 182. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 183. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 184. TAIWAN ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 185. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 186. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 187. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 188. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 189. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 190. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 191. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 192. THAILAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 193. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 194. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 195. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 196. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 197. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 198. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 199. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 200. VIETNAM ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 201. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 202. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 203. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 204. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 205. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 206. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 207. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 208. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 209. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 210. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 211. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 212. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 213. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 214. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 215. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 216. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 217. DENMARK ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 218. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 219. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 220. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 221. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 222. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 223. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 224. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 225. EGYPT ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 226. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 227. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 228. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 229. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 230. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 231. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 232. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 233. FINLAND ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 234. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 235. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 236. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 237. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 238. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 239. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 240. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 241. FRANCE ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 242. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 243. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 244. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 245. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 246. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 247. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 248. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 249. GERMANY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 250. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 251. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 252. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 253. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 254. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 255. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 256. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 257. ISRAEL ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 258. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 259. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 260. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 261. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 262. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 263. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 264. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 265. ITALY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 266. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 267. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 268. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 269. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 270. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 271. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 272. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 273. NETHERLANDS ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 274. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 275. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 276. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
• TABLE 277. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 278. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
• TABLE 279. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY APPLICATION AREA, 2018-2030 (USD MILLION)
• TABLE 280. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 281. NIGERIA ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 282. NORWAY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 283. NORWAY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 284. NORWAY ARTIFICIAL INTELLIGENCE IN BIOTECHNOLOGY MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)

The Artificial Intelligence in Biotechnology Market was valued at USD 3.18 billion in 2024 and is projected to grow to USD 3.65 billion in 2025, with a CAGR of 16.17%, reaching USD 7.82 billion by 2030.

Artificial Intelligence (AI) is rapidly emerging as a cornerstone of transformative change in the biotechnology sector. In recent years, AI-powered tools have evolved from experimental technologies into essential drivers of innovation, enabling researchers and companies alike to explore complex biological processes with unprecedented precision. This fusion of technology and biology is not only accelerating drug discovery and improving diagnostic accuracy, but it is also streamlining research methodologies and enhancing operational efficiencies.

The AI revolution in biotechnology is marked by the seamless integration of complex algorithms with massive datasets derived from genomics, proteomics, and clinical records. Organizations now leverage advanced machine learning models and deep learning techniques to predict outcomes, optimize processes, and reduce the traditional barriers imposed by manual research. As the industry evolves, decision-makers must contend with both the exciting potential and the inherent challenges posed by rapid technological advancements. This report offers a detailed exploration of the current landscape, highlighting the pivotal role that AI plays in redefining research, development, and commercialization within the biotech realm.

Through continuous investment in new solutions and the proactive application of AI technologies, the sector is poised to witness radical shifts in both clinical and operational paradigms. As we navigate this new era of innovation, it becomes increasingly clear that the effective integration of AI and biotechnology is no longer optional but rather a critical imperative for sustained growth and competitive advantage.

Transformative Shifts: Redefining Biotechnology with AI

Over the past few years, the biotechnology landscape has undergone dramatic and transformative shifts driven by AI advancements. Companies and research institutions are seeing a significant departure from traditional methodologies, embracing digital tools that manage and interpret large-scale biological data. AI's role spans from accelerating drug discovery processes to enhancing clinical decision-making, enabling faster turnaround times and improved patient outcomes.

This transformation can be largely attributed to breakthroughs in algorithmic approaches, where innovations in neural networks, computer vision, deep learning, and robotic process automation have redefined the analytical capabilities of biotech firms. The infusion of AI into research and development unleashes new dimensions of data intelligence, turning vast repositories of genetic, molecular, and clinical data into actionable insights. The evolution in technology is not just making processes more efficient-it is fundamentally redrawing the blueprint of biotechnology operations, from early-stage research through to post-sales service delivery.

Furthermore, the need for agility in addressing complex challenges in healthcare has accelerated the adoption of AI. Companies are now integrating multifaceted platforms that support predictive analytics, automated diagnostics, and personalized medicine strategies. Each advancement with AI represents a leap forward, paving the way for novel application areas and paradigms that were once considered speculative. This shift is redefining competitive boundaries and setting the stage for groundbreaking advancements that have the potential to transform patient care, research accuracy, and overall industry efficacy.

Key Segmentation Insights: Decoding Market Dynamics and Opportunities

The market for AI in biotechnology is dissected through a multidimensional segmentation framework that reflects the broad spectrum of technological and operational dimensions. An analysis based on component reveals that the market is studied across two primary divisions: services and solutions. In this context, the services include specialized functions such as consulting, implementation, post-sales and maintenance services, and training and education, while the solutions segment is analyzed further with an emphasis on platforms and software that drive innovative applications.

A closer look at the market through the lens of technology indicates a robust performance in areas including computer vision, deep learning, machine learning, natural language processing, neural networks, and robotic process automation. This technological diversity is complemented by segmentation based on organization size, which distinguishes between the dynamic environment of large enterprises and the agile operations of small and medium enterprises. Such segmentation further extends to application areas where biotechnology is benefiting from AI-driven improvements in agricultural biotechnology, clinical trials, diagnostics, genomics analysis, personalized medicine, precision medicine, and research and development.

Additional insights are uncovered by examining the end-user segmentation, which spans agricultural institutes, biotechnology firms, healthcare providers, pharmaceutical companies, as well as research and academic institutions that are pioneering innovation. Moreover, the deployment mode segmentation highlights the strategic importance of cloud, hybrid, and on-premises solutions. This comprehensive and nuanced segmentation framework not only elucidates underlying market trends but also helps identify areas ripe for future investment and collaboration.

Based on Component, market is studied across Services and Solutions. The Services is further studied across Consulting, Implementation, Post-Sales & Maintenance Services, and Training & Education Services. The Solutions is further studied across Platform and Software.

Based on Technology, market is studied across Computer Vision, Deep Learning, Machine Learning, Natural Language Processing, Neural Networks, and Robotic Process Automation.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.

Based on Application Area, market is studied across Agriculture Biotechnology, Clinical Trials, Diagnostics, Genomics Analysis, Personalized Medicine, Precision Medicine, and Research & Development.

Based on End-User, market is studied across Agricultural Institutes, Biotechnology Firms, Healthcare Providers, Pharmaceutical Companies, and Research & Academic Institutions.

Based on Deployment Mode, market is studied across Cloud, Hybrid, and On-Premises.

Regional Dynamics: Spotlight on Americas, EMEA, and Asia-Pacific Markets

Regional trends play a pivotal role in shaping the landscape of AI in biotechnology. Across the Americas, innovation is driven by a mature ecosystem of research institutions and an active venture capital presence that collectively foster rapid technological adoption. Robust regulatory frameworks and intensive investments in health technology further bolster the integration of AI into biological research and healthcare applications.

The region encompassing Europe, the Middle East, and Africa (EMEA) is also witnessing significant momentum. Here, the collaborative focus on public-private partnerships and comprehensive policy initiatives supports a broad array of research and development activities, facilitating the deployment of AI solutions. Initiatives in these regions embrace a fusion of historical expertise and cutting-edge technology, thereby enabling a proactive response to both clinical and agricultural challenges.

In the Asia-Pacific region, the explosive growth of digital health innovations coupled with increased healthcare infrastructure investments is carving out a distinct competitive edge. This region is rapidly becoming a hub for technological advancements and research-driven collaborations, as governments and private players invest heavily in modernizing their biotechnology sectors. Collectively, these regional insights illustrate the varying degrees of maturity and potential across global markets, underscoring the importance of a tailored approach to capitalizing on regional strengths and addressing local challenges.

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.

Industry Leaders Shaping AI-Driven Biotechnology Innovation

A host of pioneering companies are at the forefront of leveraging AI to revolutionize biotechnology. Among these, notable innovators include Atomwise, Inc., which utilizes sophisticated algorithms for drug discovery, and BenevolentAI, Ltd., known for its groundbreaking approaches in harnessing big data. BERG Health, LLC has made significant strides in integrating AI with metabolic insights, while Cytel, Inc. and CytoReason, Ltd. are focusing on refining the analytics and modeling aspects of clinical trials.

Deep Genomics, Inc. and Envisagenics, Inc. are recognized for their contributions to genomics analysis and biomarker discovery, and Exscientia, plc is redefining drug design through precise algorithmic modeling. Genialis, Inc. and GNS Healthcare, Inc. continue to set the benchmark for computational tools that drive personalized healthcare solutions. Equally influential are Insitro, Inc. and NuMedii, Inc., whose innovative approaches are accelerating the roadmap toward precision medicine through the integration of AI in research.

Other key players such as Owkin, Inc., PathAI, Inc., and Recursion Pharmaceuticals, Inc. are expanding the capabilities of AI in diagnostics and treatment optimization. Tempus Labs, Inc. and TwoXAR Pharmaceuticals, Inc. stand out for their adept use of AI in clinical research, while Valo Health, LLC, Verge Genomics, Inc., and Zymergen, Inc. have successfully blended innovative technological platforms with traditional biotechnological processes. These companies not only exemplify leadership in their respective niches but also reflect the dynamic, competitive landscape that is increasingly driven by AI-centric innovations.

The report delves into recent significant developments in the Artificial Intelligence in Biotechnology Market, highlighting leading vendors and their innovative profiles. These include Atomwise, Inc., BenevolentAI, Ltd., BERG Health, LLC, Cytel, Inc., CytoReason, Ltd., Deep Genomics, Inc., Envisagenics, Inc., Exscientia, plc, Genialis, Inc., GNS Healthcare, Inc., Insitro, Inc., NuMedii, Inc., Owkin, Inc., PathAI, Inc., Recursion Pharmaceuticals, Inc., Tempus Labs, Inc., TwoXAR Pharmaceuticals, Inc., Valo Health, LLC, Verge Genomics, Inc., and Zymergen, Inc.. Strategic Action Plan: Recommendations for a Competitive Edge

For those seeking to secure a position at the forefront of biotechnology innovation, it is imperative to conceive a strategic action plan grounded in actionable insights and clear objectives. Industry leaders are encouraged to invest robustly in emerging AI technologies, prioritizing the enhancement of research and operational capacities. Strategic partnerships and collaborations with technology providers can further accelerate the adoption of sophisticated AI models, ensuring that organizations remain agile in a highly competitive market.

Further expansion should involve the integration of scalable digital platforms that can harness the full potential of data analytics. Embracing cloud, hybrid, or on-premises solutions depending on organizational needs ensures resilience and customized performance. Proactivity in adopting comprehensive training and education programs is crucial; these initiatives not only elevate internal capabilities but also facilitate smoother transitions during the digital transformation journey.

Organizations must also focus on developing a responsive and adaptive corporate culture that readily embraces change. This involves nurturing a cross-disciplinary workforce that can bridge traditional biotechnology expertise with advanced computational techniques. Monitoring and adapting to regulatory developments is equally vital, helping to mitigate potential compliance challenges while capitalizing on emerging market opportunities. Ultimately, a well-orchestrated strategy will enable firms to harness AI's transformative power, driving both innovation and sustainable competitive advantage.

Conclusion: Advancing Biotechnology Through AI Excellence

In summary, the fusion of artificial intelligence with biotechnology is catalyzing a paradigm shift that promises to redefine research methodologies, clinical practices, and overall operational frameworks in the industry. The insights derived from detailed segmentation and regional analysis underscore the multifaceted benefits of integrating sophisticated AI solutions across all layers of operation. The ever-expanding capabilities of technologies such as deep learning, neural networks, and robotic process automation continue to propel the industry forward, delivering robust improvements in efficacy, accuracy, and speed.

As the market evolves, the strategic alignment between technological innovation and biotechnological expertise becomes increasingly critical. Organizations now face a competitive landscape that rewards agility, foresight, and strategic investment in state-of-the-art AI-driven tools. By embracing these insights and integrating best practices, industry players can foster an environment ripe for innovation and sustainable advancement. The continuous evolution of AI technologies represents not just a trend, but a fundamental shift in the way biotechnology will operate in the years to come.

The strategic synthesis of technology and tradition offers organizations a unique opportunity to redefine their operations and achieve new heights in research and clinical excellence. This transformation, marked by a relentless pursuit of innovation, will undoubtedly carve the path to breakthroughs that have the potential to save lives and elevate global health standards.

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. Increased adoption of AI-driven platforms for efficient biotech workflow optimization
    • 5.1.1.2. Rapid genomics data generation necessitating AI for efficient data management and analysis
    • 5.1.1.3. Increasing demand for personalized medicine fueling AI integration in biotechnology labs
  • 5.1.2. Restraints
    • 5.1.2.1. Cost and complexity concerns in implementing AI systems within biotech infrastructures
  • 5.1.3. Opportunities
    • 5.1.3.1. Deploying AI in clinical trial management to improve patient recruitment and trial efficiency
    • 5.1.3.2. Introducing AI technologies for efficient identification and classification of genetic mutations impacting health
  • 5.1.4. Challenges
    • 5.1.4.1. Ensuring data privacy and handling significant amounts of sensitive biomolecular data securely
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Rising preference of software solutions for improved data analytics
  • 5.2.2. End-User: Increased adoption of artificial intelligence in biotechnology in agricultural institutes
• 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

6. Artificial Intelligence in Biotechnology Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Consulting
  • 6.2.2. Implementation
  • 6.2.3. Post-Sales & Maintenance Services
  • 6.2.4. Training & Education Services
• 6.3. Solutions
  • 6.3.1. Platform
  • 6.3.2. Software

7. Artificial Intelligence in Biotechnology Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Deep Learning
• 7.4. Machine Learning
• 7.5. Natural Language Processing
• 7.6. Neural Networks
• 7.7. Robotic Process Automation

8. Artificial Intelligence in Biotechnology Market, by Organization Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small & Medium Enterprises

9. Artificial Intelligence in Biotechnology Market, by Application Area

• 9.1. Introduction
• 9.2. Agriculture Biotechnology
• 9.3. Clinical Trials
• 9.4. Diagnostics
• 9.5. Genomics Analysis
• 9.6. Personalized Medicine
• 9.7. Precision Medicine
• 9.8. Research & Development

10. Artificial Intelligence in Biotechnology Market, by End-User

• 10.1. Introduction
• 10.2. Agricultural Institutes
• 10.3. Biotechnology Firms
• 10.4. Healthcare Providers
• 10.5. Pharmaceutical Companies
• 10.6. Research & Academic Institutions

11. Artificial Intelligence in Biotechnology Market, by Deployment Mode

• 11.1. Introduction
• 11.2. Cloud
• 11.3. Hybrid
• 11.4. On-Premises

12. Americas Artificial Intelligence in Biotechnology Market

• 12.1. Introduction
• 12.2. Argentina
• 12.3. Brazil
• 12.4. Canada
• 12.5. Mexico
• 12.6. United States

13. Asia-Pacific Artificial Intelligence in Biotechnology Market

• 13.1. Introduction
• 13.2. Australia
• 13.3. China
• 13.4. India
• 13.5. Indonesia
• 13.6. Japan
• 13.7. Malaysia
• 13.8. Philippines
• 13.9. Singapore
• 13.10. South Korea
• 13.11. Taiwan
• 13.12. Thailand
• 13.13. Vietnam

14. Europe, Middle East & Africa Artificial Intelligence in Biotechnology Market

• 14.1. Introduction
• 14.2. Denmark
• 14.3. Egypt
• 14.4. Finland
• 14.5. France
• 14.6. Germany
• 14.7. Israel
• 14.8. Italy
• 14.9. Netherlands
• 14.10. Nigeria
• 14.11. Norway
• 14.12. Poland
• 14.13. Qatar
• 14.14. Russia
• 14.15. Saudi Arabia
• 14.16. South Africa
• 14.17. Spain
• 14.18. Sweden
• 14.19. Switzerland
• 14.20. Turkey
• 14.21. United Arab Emirates
• 14.22. United Kingdom

15. Competitive Landscape

• 15.1. Market Share Analysis, 2024
• 15.2. FPNV Positioning Matrix, 2024
• 15.3. Competitive Scenario Analysis
  • 15.3.1. Insilico Medicine and Sanofi's collaboration marked a significant achievement in AI-driven drug discovery
  • 15.3.2. Terray Therapeutics secures USD 120M for AI-driven biotech innovations and clinical trial advancements
  • 15.3.3. Iambic Therapeutics secures USD 150 million in Series B funding to advance AI-driven drug discovery innovations
• 15.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Atomwise, Inc.
• 2. BenevolentAI, Ltd.
• 3. BERG Health, LLC
• 4. Cytel, Inc.
• 5. CytoReason, Ltd.
• 6. Deep Genomics, Inc.
• 7. Envisagenics, Inc.
• 8. Exscientia, plc
• 9. Genialis, Inc.
• 10. GNS Healthcare, Inc.
• 11. Insitro, Inc.
• 12. NuMedii, Inc.
• 13. Owkin, Inc.
• 14. PathAI, Inc.
• 15. Recursion Pharmaceuticals, Inc.
• 16. Tempus Labs, Inc.
• 17. TwoXAR Pharmaceuticals, Inc.
• 18. Valo Health, LLC
• 19. Verge Genomics, Inc.
• 20. Zymergen, Inc.