Data as a Service市場：サービスモデル、サービスタイプ別-2025-2030年世界予測

Data as a Service市場の2023年の市場規模は198億2,000万米ドルで、2024年には234億3,000万米ドルに達すると予測され、CAGR 18.47％で成長し、2030年には649億5,000万米ドルに達すると予測されています。

Data as a Service（DaaS）は、組織にデータ関連サービスを提供するクラウドベースのサービスモデルであり、従来のストレージや管理の負担なしにデータへのアクセス、管理、分析を可能にします。このモデルは、多額のインフラ投資をせずにデータを活用したい企業にとって非常に貴重であり、拡張性、柔軟性、リアルタイムのデータ管理を提供します。DaaSの必要性は、データ主導の意思決定、ビッグデータ分析、プラットフォーム間のシームレスな統合に対する需要の高まりから生じています。DaaSは、ヘルスケア、金融、小売、製造などさまざまな分野で応用されており、膨大なデータプールからの洞察によって、戦略的行動や業務効率を飛躍的に高めることができます。エンドユーザーには、データサイエンティスト、アナリスト、企業の戦略部門などが多いです。

市場の洞察によると、主な成長要因としては、大量のデータを生成するIoTデバイスの普及、データ分析のためのAIやML技術の進歩、効率的なデータ管理ソリューションの需要を促進する規制コンプライアンスの重要性の高まりなどが挙げられます。現在のビジネスチャンスは、パーソナライズド・ヘルスケア、スマートシティ、急成長するフィンテック分野などのニッチ市場にあり、データ活用によってサービスをカスタマイズし、ユーザー体験を向上させることができます。こうしたビジネスチャンスを生かすには、テクノロジー・プロバイダーとの戦略的パートナーシップや、特注のデータ・ソリューションへの投資が必要となります。しかし、課題としては、データ・プライバシー、セキュリティ・リスク、初期統合コストの高さ、急速に進化するテクノロジーによる技術的陳腐化の可能性への懸念などがあります。

研究開発では、データ・セキュリティ対策の強化、より効率的なデータ統合ツールの開発、業界固有のニーズに対応したAI主導の分析プラットフォームの構築に注力すべきです。また、企業は柔軟性を提供し、セキュリティ上の懸念に対処するため、クラウドとオンプレミスの両方のデータフレームワークを活用するハイブリッドモデルの模索も検討すべきです。DaaS市場の性質は非常にダイナミックであり、俊敏性、継続的なイノベーション、規制動向への警戒の必要性が強調されています。この市場をうまく乗り切るには、消費者ニーズの鋭敏な理解と、技術的進歩に迅速に適応する先見性が必要であり、これによって持続的な競争優位性と成長が確保されます。

市場力学：急速に進化するData as a Service市場の主要市場インサイトを公開

Data as a Service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
  • 競争力維持のための戦略的ビジネス意思決定におけるデータ分析への依存の高まり
  • クラウド・コンピューティングの普及により、スケーラブルでコスト効率の高いデータ・サービス・ソリューションが実現
  • 高度なデータ管理サービスを必要とするIoT機器から生成されるデータ量の増加
  • コンプライアンスとデータ・セキュリティ規制の重視が高度なデータ・サービスへの需要を促進
• 市場抑制要因
  • Data as a Serviceプロバイダーにとって、規制要件の遵守が大きな障壁となっています。
  • Data as a Serviceの利点に関する認知度の低さが市場拡大の妨げに
• 市場機会
  • ビッグデータ分析を活用し、ビジネス意思決定のための予測的洞察を提供
  • マルチクラウドやハイブリッドクラウド環境向けの包括的なデータ管理ソリューションの提供
  • リアルタイムデータ処理の活用による顧客体験と業務効率の向上
• 市場の課題
  • データのプライバシー、セキュリティ、規制要件へのコンプライアンスの確保
  • 大量のデータを効率的に処理するためのスケーラビリティとパフォーマンスの課題

ポーターの5つの力：Data as a Service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、Data as a Service市場の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することで、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：Data as a Service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、Data as a Service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Data as a Service市場における競合情勢の把握

Data as a Service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Data as a Service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、Data as a Service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つの象限によりベンダーを明確かつ的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Data as a Service市場における成功への道筋を描く

Data as a Service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、業績指標を検討することで、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
    • 競争力を維持するための戦略的なビジネス上の意思決定におけるデータ分析への依存度が高まっている
    • クラウドコンピューティングの普及により、スケーラブルでコスト効率の高いデータサービスソリューションが実現
    • IoTデバイスによって生成されるデータ量の増加により、高度なデータ管理サービスが必要
    • コンプライアンスとデータセキュリティ規制への重点が高まり、高度なデータサービスの需要が高まっている
  • 抑制要因
    • 規制要件への準拠はData as a Serviceプロバイダーにとって大きな障壁となっている
    • Data as a Serviceの利点に関する認識が限られているため、市場拡大が妨げられている
  • 機会
    • ビッグデータ分析を活用してビジネス上の意思決定のための予測的洞察を提供する
    • マルチクラウドおよびハイブリッドクラウド環境向けの包括的なデータ管理ソリューションを提供
    • リアルタイムデータ処理を活用して顧客体験と業務効率を向上
  • 課題
    • データのプライバシー、セキュリティ、規制要件への準拠を確保する
    • 大量のデータを効率的に処理する際のスケーラビリティとパフォーマンスの課題
• 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 Data as a Service市場サービスモデル別

• サービスとしてのインフラストラクチャ
• サービスとしてのプラットフォーム
• サービスとしてのソフトウェア

第7章 Data as a Service市場：サービスタイプ別

• コンサルティング
• サポートとメンテナンス
• トレーニングと教育

第8章 南北アメリカのData as a Service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Data as a Service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Data as a Service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

• 1. Alibaba Cloud
• 2. Alteryx, Inc.
• 3. Amazon Web Services, Inc.
• 4. Cloudera, Inc.
• 5. Domo, Inc.
• 6. Google LLC
• 7. IBM Corporation
• 8. Informatica LLC
• 9. Microsoft Corporation
• 10. Oracle Corporation
• 11. Palantir Technologies Inc.
• 12. Qlik Technologies, Inc.
• 13. Salesforce.com, Inc.
• 14. SAP SE
• 15. SAS Institute Inc.
• 16. Snowflake Inc.
• 17. Splunk Inc.
• 18. Teradata Corporation
• 19. TIBCO Software Inc.
• 20. Workiva Inc.

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. DATA AS A SERVICE MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL DATA AS A SERVICE MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL DATA AS A SERVICE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. DATA AS A SERVICE MARKET DYNAMICS
• TABLE 7. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL DATA AS A SERVICE MARKET SIZE, BY INFRASTRUCTURE AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL DATA AS A SERVICE MARKET SIZE, BY PLATFORM AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SOFTWARE AS A SERVICE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL DATA AS A SERVICE MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL DATA AS A SERVICE MARKET SIZE, BY SUPPORT AND MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL DATA AS A SERVICE MARKET SIZE, BY TRAINING AND EDUCATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. AMERICAS DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 16. AMERICAS DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 17. AMERICAS DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 18. ARGENTINA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 19. ARGENTINA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 20. BRAZIL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 21. BRAZIL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 22. CANADA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 23. CANADA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 24. MEXICO DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 25. MEXICO DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 26. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 27. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 28. UNITED STATES DATA AS A SERVICE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 29. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 30. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 31. ASIA-PACIFIC DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 32. AUSTRALIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 33. AUSTRALIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 34. CHINA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 35. CHINA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 36. INDIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 37. INDIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 38. INDONESIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 39. INDONESIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 40. JAPAN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 41. JAPAN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 42. MALAYSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 43. MALAYSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 44. PHILIPPINES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 45. PHILIPPINES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 46. SINGAPORE DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 47. SINGAPORE DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 48. SOUTH KOREA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 49. SOUTH KOREA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 50. TAIWAN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 51. TAIWAN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 52. THAILAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 53. THAILAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 54. VIETNAM DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 55. VIETNAM DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 56. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 57. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 58. EUROPE, MIDDLE EAST & AFRICA DATA AS A SERVICE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 59. DENMARK DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 60. DENMARK DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 61. EGYPT DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 62. EGYPT DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 63. FINLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 64. FINLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 65. FRANCE DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 66. FRANCE DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 67. GERMANY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 68. GERMANY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 69. ISRAEL DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 70. ISRAEL DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 71. ITALY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 72. ITALY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 73. NETHERLANDS DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 74. NETHERLANDS DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 75. NIGERIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 76. NIGERIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 77. NORWAY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 78. NORWAY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 79. POLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 80. POLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 81. QATAR DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 82. QATAR DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 83. RUSSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 84. RUSSIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 85. SAUDI ARABIA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 86. SAUDI ARABIA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 87. SOUTH AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 88. SOUTH AFRICA DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 89. SPAIN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 90. SPAIN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 91. SWEDEN DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 92. SWEDEN DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 93. SWITZERLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 94. SWITZERLAND DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 95. TURKEY DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 96. TURKEY DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 97. UNITED ARAB EMIRATES DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 98. UNITED ARAB EMIRATES DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 99. UNITED KINGDOM DATA AS A SERVICE MARKET SIZE, BY SERVICE MODEL, 2018-2030 (USD MILLION)
• TABLE 100. UNITED KINGDOM DATA AS A SERVICE MARKET SIZE, BY SERVICE TYPE, 2018-2030 (USD MILLION)
• TABLE 101. DATA AS A SERVICE MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 102. DATA AS A SERVICE MARKET, FPNV POSITIONING MATRIX, 2023

The Data as a Service Market was valued at USD 19.82 billion in 2023, expected to reach USD 23.43 billion in 2024, and is projected to grow at a CAGR of 18.47%, to USD 64.95 billion by 2030.

Data as a Service (DaaS) is a cloud-based service model that provides data-related services to organizations, allowing them to access, manage, and analyze data without traditional storage and management burdens. This model is invaluable for businesses looking to leverage data without hefty infrastructure investments, offering scalability, flexibility, and real-time data management. The necessity of DaaS arises from the growing demand for data-driven decision-making, big data analytics, and the need for seamless integration across platforms. It finds applications across multiple sectors, including healthcare, finance, retail, and manufacturing, where insights from vast data pools can drastically enhance strategic actions and operational efficiencies. End-users often include data scientists, analysts, and corporate strategic departments.

Market insights reveal that key growth factors include the proliferation of IoT devices generating massive data volumes, advancements in AI and ML techniques for data analysis, and the growing importance of regulatory compliance driving demand for efficient data management solutions. Current opportunities lie in niche markets like personalized healthcare, smart cities, and the burgeoning fintech sector, where data utilization can tailor services and improve user experiences. Exploiting these opportunities requires strategic partnerships with technology providers and investment in bespoke data solutions. However, challenges include concerns over data privacy, security risks, high initial integration costs, and potential technological obsolescence due to rapidly evolving technologies.

Innovation and research should focus on enhancing data security measures, developing more efficient data integration tools, and creating AI-driven analytics platforms that cater to industry-specific needs. Companies should also consider exploring hybrid models that leverage both cloud and on-premises data frameworks to provide flexibility and address security concerns. The nature of the DaaS market is highly dynamic, emphasizing the need for agility, continuous innovation, and vigilance towards regulatory developments. Successfully navigating this market requires a keen understanding of consumer needs and the foresight to adapt to technological advancements swiftly, ensuring sustained competitive advantage and growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Data as a Service Market

The Data as a Service 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 reliance on data analytics for strategic business decisions to stay competitive
  • Proliferation of cloud computing enabling scalable and cost-effective data service solutions
  • Growing volumes of data generated by IoT devices necessitating advanced data management services
  • Heightened emphasis on compliance and data security regulations driving demand for sophisticated data services
• Market Restraints
  • Compliance with regulatory requirements is a significant barrier for data as a service providers
  • Limited awareness about the benefits of data as a service hampers market expansion
• Market Opportunities
  • Leveraging big data analytics to provide predictive insights for business decision making
  • Offering comprehensive data management solutions for multi-cloud and hybrid cloud environments
  • Utilizing real-time data processing to enhance customer experience and operational efficiency
• Market Challenges
  • Ensuring data privacy, security, and compliance with regulatory requirements
  • Scalability and performance challenges in handling large volumes of data efficiently

Porter's Five Forces: A Strategic Tool for Navigating the Data as a Service Market

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

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

A detailed market share analysis in the Data as a Service 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 Data as a Service Market

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

A strategic analysis of the Data as a Service 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 Data as a Service Market, highlighting leading vendors and their innovative profiles. These include Alibaba Cloud, Alteryx, Inc., Amazon Web Services, Inc., Cloudera, Inc., Domo, Inc., Google LLC, IBM Corporation, Informatica LLC, Microsoft Corporation, Oracle Corporation, Palantir Technologies Inc., Qlik Technologies, Inc., Salesforce.com, Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Splunk Inc., Teradata Corporation, TIBCO Software Inc., and Workiva Inc..

Market Segmentation & Coverage

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

• Based on Service Model, market is studied across Infrastructure As A Service, Platform As A Service, and Software As A Service.
• Based on Service Type, market is studied across Consulting, Support And Maintenance, and Training And Education.
• 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 reliance on data analytics for strategic business decisions to stay competitive
    • 5.1.1.2. Proliferation of cloud computing enabling scalable and cost-effective data service solutions
    • 5.1.1.3. Growing volumes of data generated by IoT devices necessitating advanced data management services
    • 5.1.1.4. Heightened emphasis on compliance and data security regulations driving demand for sophisticated data services
  • 5.1.2. Restraints
    • 5.1.2.1. Compliance with regulatory requirements is a significant barrier for data as a service providers
    • 5.1.2.2. Limited awareness about the benefits of data as a service hampers market expansion
  • 5.1.3. Opportunities
    • 5.1.3.1. Leveraging big data analytics to provide predictive insights for business decision making
    • 5.1.3.2. Offering comprehensive data management solutions for multi-cloud and hybrid cloud environments
    • 5.1.3.3. Utilizing real-time data processing to enhance customer experience and operational efficiency
  • 5.1.4. Challenges
    • 5.1.4.1. Ensuring data privacy, security, and compliance with regulatory requirements
    • 5.1.4.2. Scalability and performance challenges in handling large volumes of data efficiently
• 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. Data as a Service Market, by Service Model

• 6.1. Introduction
• 6.2. Infrastructure As A Service
• 6.3. Platform As A Service
• 6.4. Software As A Service

7. Data as a Service Market, by Service Type

• 7.1. Introduction
• 7.2. Consulting
• 7.3. Support And Maintenance
• 7.4. Training And Education

8. Americas Data as a Service Market

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

9. Asia-Pacific Data as a Service 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 Data as a Service 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. Alibaba Cloud
• 2. Alteryx, Inc.
• 3. Amazon Web Services, Inc.
• 4. Cloudera, Inc.
• 5. Domo, Inc.
• 6. Google LLC
• 7. IBM Corporation
• 8. Informatica LLC
• 9. Microsoft Corporation
• 10. Oracle Corporation
• 11. Palantir Technologies Inc.
• 12. Qlik Technologies, Inc.
• 13. Salesforce.com, Inc.
• 14. SAP SE
• 15. SAS Institute Inc.
• 16. Snowflake Inc.
• 17. Splunk Inc.
• 18. Teradata Corporation
• 19. TIBCO Software Inc.
• 20. Workiva Inc.