NoSQL市場：データベースタイプ、用途、エンドユーザー別-2025～2030年の世界予測

NoSQL市場の2023年の市場規模は74億6,000万米ドル、2024年には83億6,000万米ドルに達すると予測され、CAGR 13.18％で成長し、2030年には177億6,000万米ドルに達すると予測されています。

NoSQL（Not Only SQL）は、データの保存、検索、管理において従来のリレーショナルデータベースとは異なる、幅広いクラスのデータベース管理システムを指します。NoSQLの範囲には、ドキュメント、キーと値のペア、ワイドカラム、グラフストアなど、さまざまなデータモデルが含まれます。ビッグデータ、リアルタイムのウェブアプリケーション、クラウドコンピューティング環境において、非構造化データや半構造化データを管理する必要性が高まっています。NoSQLデータベースは、高いスケーラビリティ、柔軟性、パフォーマンスを必要とするアプリケーション、特にソーシャルメディア、eコマース、オンラインゲームプラットフォームにおいて極めて重要です。NoSQLデータベースは、金融、医療、通信、小売など、さまざまな産業で使用されており、デジタルトランスフォーメーション戦略の急速な導入に拍車をかけています。NoSQL市場の主要成長要因としては、ビッグデータの爆発的な増加、Webとモバイルアプリケーションの増加、クラウド環境における先進的データベース管理の必要性などが挙げられます。潜在的なビジネス機会は、NoSQLと人工知能、機械学習、モノのインターネット（IoT）などの新技術との統合にあり、新たな分析機能を記載しています。しかし、一貫性の問題、複雑なクエリ、標準化された手法の欠如などの制約があり、これらのシステムを管理する熟練者が限られているという課題も相まって、市場の成長を妨げる可能性があります。企業は、よりユーザーフレンドリーなインターフェースの開発、セキュリティプロトコルの改善、従来のSQLシステムとの相互運用性の強化に注力することで、イノベーションを起こすことができます。また、NoSQLの強固なサポートとコミュニティ・エコシステムを構築することで、受容と成長を促進することができます。市場は機敏な性質を示すため、企業は変化に迅速に対応し、SQLとNoSQLの機能を組み合わせてより包括的なデータソリューションを実現するハイブリッドデータベースモデルの動向に注目すべきです。全体として、調査への継続的な投資と技術の進歩への追随が、NoSQL市場の成長展望を強化します。

市場力学：急速に進化するNoSQL市場の主要市場洞察を公開

NoSQL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機会の獲得に備えることができます。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、また、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
  • リレーショナル・データベースに比べ、拡大性と柔軟性が向上しているため、利用が拡大
  • より高速で効率的なストレージソリューションへのニーズと相まって、企業によるデータ主導型洞察に対する需要の高まり
  • クラウドコンピューティングの増加による、NoSQLデータベースへのアクセスの容易化
• 市場抑制要因
  • 既存のアプリケーションと新しいデータベースシステムとの互換性に潜在的な問題
• 市場機会
  • 統合機能を備えたNoSQLの進歩
  • ハイブリッドデータベースやマルチモデルデータベースへの需要の高まり
• 市場課題
  • 標準化の欠如と熟練した専門家の限られた利用可能性

ポーターのファイブフォース：NoSQL市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、NoSQL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、企業の競合を評価し、戦略的機会を探るための明確な手法を記載しています。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：NoSQL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、NoSQL市場の業績力学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記載しています。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：NoSQL市場における競合情勢の把握

NoSQL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、セグメント化、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：NoSQL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、NoSQL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：NoSQL市場における成功への道筋を描く

NoSQL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、新たなビジネス機会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、主要な注目セグメント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を評価します。

2.市場の開拓度：新興市場における成長機会を特定し、既存セグメント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記載しています。

3.市場の多様化：最近の製品発売、未開拓の地域、産業の主要な進歩、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.製品開発とイノベーション：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、地域はどこか？

3.市場を形成する主要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 市場概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • リレーショナルデータベースに比べて拡大性と柔軟性が向上したため、使用が増加
    • 企業からのデータ別の洞察に対する需要の高まりと、より高速で効率的なストレージソリューションの必要性が相まる
    • クラウドコンピューティングの増加により、NoSQLデータベースへのアクセスが容易になる
  • 抑制要因
    • 既存のアプリケーションと新しいデータベースシステム間の互換性に関する潜在的な問題
  • 機会
    • 統合機能を備えたNoSQLの進歩
    • ハイブリッドとマルチモデルデータベースの需要が急増
  • 課題
    • 標準化の欠如と熟練した専門家の不足
• 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
  • 経済
  • 社会
  • 技術
  • 法律
  • 環境

第6章 NoSQL市場：データベースタイプ別

• イントロダクション
• ドキュメントデータベース
• グラフデータベース
• キーバリューデータベース
• ワイドカラムストア

第7章 NoSQL市場：用途別

• イントロダクション
• データ分析
• データストレージ
• 分散データ保管庫
• モバイルアプリ
• ウェブアプリケーション

第8章 NoSQL市場：エンドユーザー別

• イントロダクション
• BFSI
• ゲームとエンターテイメント
• 政府
• 医療
• 小売
• 通信

第9章 南北アメリカのNoSQL市場

• イントロダクション
• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋のNoSQL市場

• イントロダクション
• 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NoSQL市場

• イントロダクション
• 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年
• FPNVポジショニングマトリックス、2023年
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• 3T Software Labs Ltd.
• Aerospike, Inc.
• Amazon Web Services, Inc.
• Cisco Systems, Inc.
• Couchbase, Inc.
• DataStax, Inc.
• Google, LLC by Alphabet Inc.
• Hypertable Inc.
• InfluxData Inc.
• Intel Corporation
• International Business Machines Corporation
• Microsoft Corporation
• MongoDB, Inc.
• Neo4j, Inc.
• Objectivity Inc.
• Oracle Corporation
• OrientDB Ltd.
• Progress Software Corporation
• Redis Ltd.
• RIG Enterprise Applications Inc.
• Rubrik, Inc.
• SAP SE
• ScyllaDB Ltd.
• Thoughtworks, Inc.

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. NOSQL MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL NOSQL MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL NOSQL MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL NOSQL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. NOSQL MARKET DYNAMICS
• TABLE 7. GLOBAL NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL NOSQL MARKET SIZE, BY DOCUMENT DATABASES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL NOSQL MARKET SIZE, BY GRAPH DATABASES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL NOSQL MARKET SIZE, BY KEY-VALUE DATABASES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL NOSQL MARKET SIZE, BY WIDE-COLUMN STORES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL NOSQL MARKET SIZE, BY DATA ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL NOSQL MARKET SIZE, BY DATA STORAGE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL NOSQL MARKET SIZE, BY DISTRIBUTED DATA DEPOSITORY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL NOSQL MARKET SIZE, BY MOBILE APPS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL NOSQL MARKET SIZE, BY WEB APPLICATIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL NOSQL MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL NOSQL MARKET SIZE, BY GAMING & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL NOSQL MARKET SIZE, BY GOVERNMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL NOSQL MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL NOSQL MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL NOSQL MARKET SIZE, BY TELECOM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 26. AMERICAS NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 28. AMERICAS NOSQL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 29. ARGENTINA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 30. ARGENTINA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 31. ARGENTINA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 32. BRAZIL NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 33. BRAZIL NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 34. BRAZIL NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 35. CANADA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 36. CANADA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 37. CANADA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 38. MEXICO NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 39. MEXICO NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 40. MEXICO NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 42. UNITED STATES NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 43. UNITED STATES NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 44. UNITED STATES NOSQL MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 46. ASIA-PACIFIC NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 47. ASIA-PACIFIC NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 48. ASIA-PACIFIC NOSQL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 49. AUSTRALIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 50. AUSTRALIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 51. AUSTRALIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 52. CHINA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 53. CHINA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 54. CHINA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 55. INDIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 56. INDIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 57. INDIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 58. INDONESIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 59. INDONESIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 60. INDONESIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 61. JAPAN NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 62. JAPAN NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 63. JAPAN NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 64. MALAYSIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 65. MALAYSIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 66. MALAYSIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 67. PHILIPPINES NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 68. PHILIPPINES NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 69. PHILIPPINES NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 70. SINGAPORE NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 71. SINGAPORE NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 72. SINGAPORE NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 73. SOUTH KOREA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 74. SOUTH KOREA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 75. SOUTH KOREA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 76. TAIWAN NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 77. TAIWAN NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 78. TAIWAN NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 79. THAILAND NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 80. THAILAND NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 81. THAILAND NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 82. VIETNAM NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 83. VIETNAM NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 84. VIETNAM NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 86. EUROPE, MIDDLE EAST & AFRICA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 87. EUROPE, MIDDLE EAST & AFRICA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 88. EUROPE, MIDDLE EAST & AFRICA NOSQL MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 89. DENMARK NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 90. DENMARK NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 91. DENMARK NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 92. EGYPT NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 93. EGYPT NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 94. EGYPT NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 95. FINLAND NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 96. FINLAND NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 97. FINLAND NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 98. FRANCE NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 99. FRANCE NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 100. FRANCE NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 101. GERMANY NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 102. GERMANY NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 103. GERMANY NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 104. ISRAEL NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 105. ISRAEL NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 106. ISRAEL NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 107. ITALY NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 108. ITALY NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 109. ITALY NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 110. NETHERLANDS NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 111. NETHERLANDS NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 112. NETHERLANDS NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 113. NIGERIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 114. NIGERIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 115. NIGERIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 116. NORWAY NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 117. NORWAY NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 118. NORWAY NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 119. POLAND NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 120. POLAND NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 121. POLAND NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 122. QATAR NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 123. QATAR NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 124. QATAR NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 125. RUSSIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 126. RUSSIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 127. RUSSIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 128. SAUDI ARABIA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 129. SAUDI ARABIA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 130. SAUDI ARABIA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 131. SOUTH AFRICA NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 132. SOUTH AFRICA NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 133. SOUTH AFRICA NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 134. SPAIN NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 135. SPAIN NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 136. SPAIN NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 137. SWEDEN NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 138. SWEDEN NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 139. SWEDEN NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 140. SWITZERLAND NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 141. SWITZERLAND NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 142. SWITZERLAND NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 143. TURKEY NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 144. TURKEY NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 145. TURKEY NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 146. UNITED ARAB EMIRATES NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 147. UNITED ARAB EMIRATES NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 148. UNITED ARAB EMIRATES NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 149. UNITED KINGDOM NOSQL MARKET SIZE, BY DATABASES TYPE, 2018-2030 (USD MILLION)
• TABLE 150. UNITED KINGDOM NOSQL MARKET SIZE, BY APPLICATIONS, 2018-2030 (USD MILLION)
• TABLE 151. UNITED KINGDOM NOSQL MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
• TABLE 152. NOSQL MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 153. NOSQL MARKET, FPNV POSITIONING MATRIX, 2023

The NoSQL Market was valued at USD 7.46 billion in 2023, expected to reach USD 8.36 billion in 2024, and is projected to grow at a CAGR of 13.18%, to USD 17.76 billion by 2030.

NoSQL, or "Not Only SQL," refers to a broad class of database management systems that differ from traditional relational databases in data storage, retrieval, and management. The scope of NoSQL includes a variety of data models such as document, key-value pair, wide-column, and graph stores. It is necessitated by the growing need to manage unstructured and semi-structured data prevalent in big data, real-time web apps, and cloud computing environments. NoSQL databases are crucial in applications requiring high scalability, flexibility, and performance, notably social media, e-commerce, and online gaming platforms. The end-use scope extends across various industries, including finance, healthcare, telecommunication, and retail, fueling the rapid adoption of digital transformation strategies. Key growth factors for the NoSQL market include the explosion of big data, increased web and mobile applications, and the need for advanced database management in cloud environments. The potential opportunities lie in the integration of NoSQL with emerging technologies like artificial intelligence, machine learning, and the Internet of Things (IoT), offering new analytical capabilities. However, limitations include consistency issues, complex querying, and a lack of standardized practices, coupled with the challenge of limited skilled personnel to manage these systems, which could hamper market growth. Companies can innovate by focusing on developing more user-friendly interfaces, improving security protocols, and enhancing interoperability with traditional SQL systems. Building robust support and community ecosystems for NoSQL can also drive acceptance and growth. As the market exhibits an agile nature, businesses should adapt quickly to changes, focusing on the hybrid database model trend, which combines SQL and NoSQL capabilities for more comprehensive data solutions. Overall, continuous investment in research and keeping pace with technological advancements will bolster growth prospects in the NoSQL market.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving NoSQL Market

The NoSQL 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
  • Growing use owing to increased scalability and flexibility compared to relational databases
  • Rise in demand for data-driven insights from businesses coupled with need for faster and more efficient storage solutions
  • Increase in cloud computing, allowing easier access to NoSQL databases
• Market Restraints
  • Potential issues with compatibility between existing applications and the new database system
• Market Opportunities
  • Advancements in NoSQL with integration capabilities
  • Proliferated demand for hybrid and multi-model databases
• Market Challenges
  • Lack of standardization and limited availability of skilled professionals

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

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

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

A detailed market share analysis in the NoSQL 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 NoSQL Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the NoSQL 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 NoSQL Market

A strategic analysis of the NoSQL 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 NoSQL Market, highlighting leading vendors and their innovative profiles. These include 3T Software Labs Ltd., Aerospike, Inc., Amazon Web Services, Inc., Cisco Systems, Inc., Couchbase, Inc., DataStax, Inc., Google, LLC by Alphabet Inc., Hypertable Inc., InfluxData Inc., Intel Corporation, International Business Machines Corporation, Microsoft Corporation, MongoDB, Inc., Neo4j, Inc., Objectivity Inc., Oracle Corporation, OrientDB Ltd., Progress Software Corporation, Redis Ltd., RIG Enterprise Applications Inc., Rubrik, Inc., SAP SE, ScyllaDB Ltd., and Thoughtworks, Inc..

Market Segmentation & Coverage

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

• Based on Databases Type, market is studied across Document Databases, Graph Databases, Key-Value Databases, and Wide-Column Stores.
• Based on Applications, market is studied across Data Analytics, Data Storage, Distributed Data Depository, Mobile Apps, and Web Applications.
• Based on End-User, market is studied across BFSI, Gaming & Entertainment, Government, Healthcare, Retail, and Telecom.
• 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. Growing use owing to increased scalability and flexibility compared to relational databases
    • 5.1.1.2. Rise in demand for data-driven insights from businesses coupled with need for faster and more efficient storage solutions
    • 5.1.1.3. Increase in cloud computing, allowing easier access to NoSQL databases
  • 5.1.2. Restraints
    • 5.1.2.1. Potential issues with compatibility between existing applications and the new database system
  • 5.1.3. Opportunities
    • 5.1.3.1. Advancements in NoSQL with integration capabilities
    • 5.1.3.2. Proliferated demand for hybrid and multi-model databases
  • 5.1.4. Challenges
    • 5.1.4.1. Lack of standardization and limited availability of skilled professionals
• 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. NoSQL Market, by Databases Type

• 6.1. Introduction
• 6.2. Document Databases
• 6.3. Graph Databases
• 6.4. Key-Value Databases
• 6.5. Wide-Column Stores

7. NoSQL Market, by Applications

• 7.1. Introduction
• 7.2. Data Analytics
• 7.3. Data Storage
• 7.4. Distributed Data Depository
• 7.5. Mobile Apps
• 7.6. Web Applications

8. NoSQL Market, by End-User

• 8.1. Introduction
• 8.2. BFSI
• 8.3. Gaming & Entertainment
• 8.4. Government
• 8.5. Healthcare
• 8.6. Retail
• 8.7. Telecom

9. Americas NoSQL Market

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

10. Asia-Pacific NoSQL 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 NoSQL 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
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. 3T Software Labs Ltd.
• 2. Aerospike, Inc.
• 3. Amazon Web Services, Inc.
• 4. Cisco Systems, Inc.
• 5. Couchbase, Inc.
• 6. DataStax, Inc.
• 7. Google, LLC by Alphabet Inc.
• 8. Hypertable Inc.
• 9. InfluxData Inc.
• 10. Intel Corporation
• 11. International Business Machines Corporation
• 12. Microsoft Corporation
• 13. MongoDB, Inc.
• 14. Neo4j, Inc.
• 15. Objectivity Inc.
• 16. Oracle Corporation
• 17. OrientDB Ltd.
• 18. Progress Software Corporation
• 19. Redis Ltd.
• 20. RIG Enterprise Applications Inc.
• 21. Rubrik, Inc.
• 22. SAP SE
• 23. ScyllaDB Ltd.
• 24. Thoughtworks, Inc.