科学データ管理市場：展開モード別、エンドユーザー別-2025-2030年の世界予測

科学データ管理市場の2023年の市場規模は114億2,000万米ドル、2024年には124億米ドルに達すると予測され、CAGR 8.70％で成長し、2030年には204億8,000万米ドルに達すると予測されています。

SDM（科学データ管理）とは、科学研究や実験から得られたデータを体系的に取り扱うことであり、データの収集、保管、保存、共有、分析を含みます。SDMの必要性は、様々な科学的領域におけるデータの急激な増大と、情報の保存とアクセスにおける精度の必要性にあります。SDMのアプリケーションは、製薬、バイオテクノロジー、環境科学、学術など、研究やイノベーションを促進するために合理的なデータ運用が不可欠な業界全体に及んでいます。SDMツールの最終用途は、研究機関、研究所、研究開発主体である企業など多岐にわたり、それぞれがデータ主導の意思決定プロセスを強化するために効率的なデータ管理システムを必要としています。

市場の成長には、高度な分析ツールに対する需要の高まり、世界な研究チーム間での効果的なデータ共有の必要性、データ管理における人工知能（AI）や機械学習（ML）の利用動向の高まりなどの要因が寄与しています。さらに、ハイスループット技術によって生成される科学データ量の増大は、SDMソリューションにおけるイノベーションの機会をもたらしています。最新のビジネスチャンスには、スケーラブルなクラウドベースのソリューションや、ニッチな研究ニーズに合わせたオーダーメイドソフトウェアの開発・実装が含まれ、技術統合の準備が整った市場を浮き彫りにしています。しかし、データセキュリティへの懸念、初期導入コストの高さ、新しいSDMシステムと既存のITインフラとの統合の複雑さなどの課題も残っています。

技術革新の機会としては、相互運用性とデータ可視化ツールの強化、および科学研究に合わせた高度なデータマイニングと予測分析機能の開発が挙げられます。市場は多様なニーズを特徴としており、拡張性と使いやすさを兼ね備えた適応性の高いソリューションが求められています。企業は、クラウド・サービス・プロバイダーとのパートナーシップに投資し、データ保護の懸念を軽減するためにサイバーセキュリティ対策に注力することが推奨されます。これらの課題を克服し、技術の進歩を活用することで、企業は大きな市場シェアを獲得し、科学データ管理分野の成長を促進することができます。

市場力学：急速に進化する科学データ管理市場の主要市場インサイトを公開

科学データ管理市場は、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、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。こうした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
  • 学術研究機関からの需要の増加
  • 研究所の自動化に対する需要の高まり
• 市場抑制要因
  • 科学データ管理システムの導入に伴う高コスト
• 市場機会
  • 大容量データを扱うクラウドコンピューティングの登場
  • 統合ラボ・インフォマティクス・ソリューションの開発
• 市場の課題
  • マルチスケールデータ、データの多様性、複数のデータモデルとフォーマットの存在

ポーターの5つの力：科学データ管理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、市場情勢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：科学データ管理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、科学データ管理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。

市場シェア分析科学データ管理市場における競合情勢の把握

科学データ管理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・マトリックス科学データ管理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、科学データ管理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つの象限によってベンダーを明確かつ正確にセグメント化し、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ことができます。

戦略分析と推奨科学データ管理市場における成功への道筋を描く

科学データ管理市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

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
    • 学術調査機関からの需要増加
    • 研究室の自動化に対する需要の高まり
  • 抑制要因
    • 科学データ管理システムの実装に伴う高コスト
  • 機会
    • 大容量データを扱うクラウドコンピューティングの登場
    • 統合ラボ情報ソリューションの開発
  • 課題
    • マルチスケールデータ、データの多様性、複数のデータモデルとフォーマットの存在
• 市場セグメンテーション分析
• 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

第6章 科学データ管理市場：展開モード別

• クラウド
• オンプレミス

第7章 科学データ管理市場：エンドユーザー別

• 病院
• 研究室
• 調査機関

第8章 南北アメリカの科学データ管理市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第9章 アジア太平洋地域の科学データ管理市場

• 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10章 欧州・中東・アフリカの科学データ管理市場

• 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11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
• 戦略分析と提言

企業一覧

• Abbott Laboratories
• Accelerated Technology Laboratories Inc.
• Advanced Chemistry Development, Inc.
• Agaram Technologies Pvt Ltd.
• Beckman Coulter, Inc.
• Benchling, Inc.
• BenchSci
• Biocomputing Platforms Ltd.
• Dotmatics Limited
• Florence HC
• Flywheel Exchange, LLC
• iVention B.V.
• LabKey Corporation
• LabLynx, Inc.
• LabVantage Solutions Inc.
• Merck KGaA
• SciCord LLC
• SciNote LLC
• Shimadzu Corporation
• Thermo Fisher Scientific Inc.
• TIBCO Software Inc.

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. SCIENTIFIC DATA MANAGEMENT MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. SCIENTIFIC DATA MANAGEMENT MARKET DYNAMICS
• TABLE 7. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY HOSPITALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY LABORATORY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY RESEARCH INSTITUTES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 15. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 16. AMERICAS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 17. ARGENTINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 18. ARGENTINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 19. BRAZIL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 20. BRAZIL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 21. CANADA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 22. CANADA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 23. MEXICO SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 24. MEXICO SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 25. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 26. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 27. UNITED STATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 28. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 29. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 30. ASIA-PACIFIC SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 31. AUSTRALIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 32. AUSTRALIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 33. CHINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 34. CHINA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 35. INDIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 36. INDIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 37. INDONESIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 38. INDONESIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 39. JAPAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 40. JAPAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 41. MALAYSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 42. MALAYSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 43. PHILIPPINES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 44. PHILIPPINES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 45. SINGAPORE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 46. SINGAPORE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 47. SOUTH KOREA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 48. SOUTH KOREA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 49. TAIWAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 50. TAIWAN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 51. THAILAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 52. THAILAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 53. VIETNAM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 54. VIETNAM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 55. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 56. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 57. EUROPE, MIDDLE EAST & AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 58. DENMARK SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 59. DENMARK SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 60. EGYPT SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 61. EGYPT SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 62. FINLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 63. FINLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 64. FRANCE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 65. FRANCE SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 66. GERMANY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 67. GERMANY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 68. ISRAEL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 69. ISRAEL SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 70. ITALY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 71. ITALY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 72. NETHERLANDS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 73. NETHERLANDS SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 74. NIGERIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 75. NIGERIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 76. NORWAY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 77. NORWAY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 78. POLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 79. POLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 80. QATAR SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 81. QATAR SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 82. RUSSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 83. RUSSIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 84. SAUDI ARABIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 85. SAUDI ARABIA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 86. SOUTH AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 87. SOUTH AFRICA SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 88. SPAIN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 89. SPAIN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 90. SWEDEN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 91. SWEDEN SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 92. SWITZERLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 93. SWITZERLAND SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 94. TURKEY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 95. TURKEY SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 96. UNITED ARAB EMIRATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 97. UNITED ARAB EMIRATES SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 98. UNITED KINGDOM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
• TABLE 99. UNITED KINGDOM SCIENTIFIC DATA MANAGEMENT MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 100. SCIENTIFIC DATA MANAGEMENT MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 101. SCIENTIFIC DATA MANAGEMENT MARKET, FPNV POSITIONING MATRIX, 2023

The Scientific Data Management Market was valued at USD 11.42 billion in 2023, expected to reach USD 12.40 billion in 2024, and is projected to grow at a CAGR of 8.70%, to USD 20.48 billion by 2030.

Scientific data management (SDM) is the systematic handling of data derived from scientific research and experiments, encompassing data collection, storage, preservation, sharing, and analysis. The necessity for SDM lies in the exponential growth of data across various scientific domains and the need for precision in storing and accessing information. Its applications span across industries such as pharmaceuticals, biotechnology, environmental science, and academia, where streamlined data operations are essential for facilitating research and innovation. The end-use scope of SDM tools is extensive, covering research institutions, laboratories, and enterprises focused on research and development, each requiring efficient data management systems to enhance their data-driven decision-making processes.

Market growth is fueled by factors such as the increasing demand for advanced analytical tools, the need for effective data sharing among global research teams, and the rising trend of using artificial intelligence (AI) and machine learning (ML) in data management. Moreover, the growing volume of scientific data generated by high-throughput technologies presents opportunities for innovation in SDM solutions. Latest opportunities include the development and implementation of scalable cloud-based solutions and bespoke software tailored to niche research needs, highlighting a market ready for technology integration. However, challenges remain, such as data security concerns, high initial deployment costs, and the complexity of integrating new SDM systems with existing IT infrastructure.

Opportunities for innovation involve enhancing interoperability and data visualization tools, as well as developing sophisticated data mining and predictive analytics capabilities tailored to scientific research. The market is characterized by diverse needs, pushing for adaptable solutions that are both scalable and user-friendly. Businesses are recommended to invest in partnerships with cloud service providers and focus on cybersecurity measures to alleviate data protection concerns. By navigating these challenges and capitalizing on technological advancements, companies can capture significant market share and drive growth in the scientific data management sector.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Scientific Data Management Market

The Scientific Data Management 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
  • Increasing demand from academic research institutes
  • Rising demand for the automation of laboratories
• Market Restraints
  • High cost associated with implementing the scientific data management system
• Market Opportunities
  • Advent of cloud computing for handling large data volume
  • Development of integrated lab informatics solutions
• Market Challenges
  • Presence of multi-scale data, diversity of data, and multiple data models and formats

Porter's Five Forces: A Strategic Tool for Navigating the Scientific Data Management Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Scientific Data Management 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 Scientific Data Management Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Scientific Data Management 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 Scientific Data Management Market

A detailed market share analysis in the Scientific Data Management 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 Scientific Data Management Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Scientific Data Management 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.

Strategy Analysis & Recommendation: Charting a Path to Success in the Scientific Data Management Market

A strategic analysis of the Scientific Data Management Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Scientific Data Management Market, highlighting leading vendors and their innovative profiles. These include Abbott Laboratories, Accelerated Technology Laboratories Inc., Advanced Chemistry Development, Inc., Agaram Technologies Pvt Ltd., Beckman Coulter, Inc., Benchling, Inc., BenchSci, Biocomputing Platforms Ltd., Dotmatics Limited, Florence HC, Flywheel Exchange, LLC, iVention B.V., LabKey Corporation, LabLynx, Inc., LabVantage Solutions Inc., Merck KGaA, SciCord LLC, SciNote LLC, Shimadzu Corporation, Thermo Fisher Scientific Inc., and TIBCO Software Inc..

Market Segmentation & Coverage

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

• Based on Deployment Mode, market is studied across Cloud and On-Premise.
• Based on End-User, market is studied across Hospitals, Laboratory, and Research Institutes.
• 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. Increasing demand from academic research institutes
    • 5.1.1.2. Rising demand for the automation of laboratories
  • 5.1.2. Restraints
    • 5.1.2.1. High cost associated with implementing the scientific data management system
  • 5.1.3. Opportunities
    • 5.1.3.1. Advent of cloud computing for handling large data volume
    • 5.1.3.2. Development of integrated lab informatics solutions
  • 5.1.4. Challenges
    • 5.1.4.1. Presence of multi-scale data, diversity of data, and multiple data models and formats
• 5.2. Market Segmentation Analysis
• 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. Scientific Data Management Market, by Deployment Mode

• 6.1. Introduction
• 6.2. Cloud
• 6.3. On-Premise

7. Scientific Data Management Market, by End-User

• 7.1. Introduction
• 7.2. Hospitals
• 7.3. Laboratory
• 7.4. Research Institutes

8. Americas Scientific Data Management Market

• 8.1. Introduction
• 8.2. Argentina
• 8.3. Brazil
• 8.4. Canada
• 8.5. Mexico
• 8.6. United States

9. Asia-Pacific Scientific Data Management Market

• 9.1. Introduction
• 9.2. Australia
• 9.3. China
• 9.4. India
• 9.5. Indonesia
• 9.6. Japan
• 9.7. Malaysia
• 9.8. Philippines
• 9.9. Singapore
• 9.10. South Korea
• 9.11. Taiwan
• 9.12. Thailand
• 9.13. Vietnam

10. Europe, Middle East & Africa Scientific Data Management Market

• 10.1. Introduction
• 10.2. Denmark
• 10.3. Egypt
• 10.4. Finland
• 10.5. France
• 10.6. Germany
• 10.7. Israel
• 10.8. Italy
• 10.9. Netherlands
• 10.10. Nigeria
• 10.11. Norway
• 10.12. Poland
• 10.13. Qatar
• 10.14. Russia
• 10.15. Saudi Arabia
• 10.16. South Africa
• 10.17. Spain
• 10.18. Sweden
• 10.19. Switzerland
• 10.20. Turkey
• 10.21. United Arab Emirates
• 10.22. United Kingdom

11. Competitive Landscape

• 11.1. Market Share Analysis, 2023
• 11.2. FPNV Positioning Matrix, 2023
• 11.3. Competitive Scenario Analysis
• 11.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Abbott Laboratories
• 2. Accelerated Technology Laboratories Inc.
• 3. Advanced Chemistry Development, Inc.
• 4. Agaram Technologies Pvt Ltd.
• 5. Beckman Coulter, Inc.
• 6. Benchling, Inc.
• 7. BenchSci
• 8. Biocomputing Platforms Ltd.
• 9. Dotmatics Limited
• 10. Florence HC
• 11. Flywheel Exchange, LLC
• 12. iVention B.V.
• 13. LabKey Corporation
• 14. LabLynx, Inc.
• 15. LabVantage Solutions Inc.
• 16. Merck KGaA
• 17. SciCord LLC
• 18. SciNote LLC
• 19. Shimadzu Corporation
• 20. Thermo Fisher Scientific Inc.
• 21. TIBCO Software Inc.