デフォルト表紙
市場調査レポート
商品コード
1591998

インメモリデータベース市場:データタイプ、処理タイプ、アプリケーション、展開モデル、組織規模、業種別-2025年~2030年の世界予測

In-Memory Database Market by Data Type (NewSQL, NOSQL, Relational), Processing Type (Online Analytical Processing (OLAP), Online Transaction Processing (OLTP)), Application, Deployment Model, Organization Size, Vertical - Global Forecast 2025-2030


出版日
発行
360iResearch
ページ情報
英文 188 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
インメモリデータベース市場:データタイプ、処理タイプ、アプリケーション、展開モデル、組織規模、業種別-2025年~2030年の世界予測
出版日: 2024年10月31日
発行: 360iResearch
ページ情報: 英文 188 Pages
納期: 即日から翌営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

インメモリデータベース市場の2023年の市場規模は70億7,000万米ドルで、2024年には77億8,000万米ドルに達すると予測され、CAGR 10.67%で成長し、2030年には143億9,000万米ドルに達すると予測されています。

インメモリデータベース(IMDB)はデータベース管理システムの一種であり、データ保存を主にメインメモリに依存しているため、従来のディスクベースのデータベースに比べ速度面で大きな優位性があります。IMDBの必要性が高まっている背景には、高速データ処理とリアルタイム分析に対する世界のニーズがあり、迅速な情報検索が最も重要な銀行、通信、小売などの分野で不可欠となっています。金融サービスにおけるトランザクション処理から、リアルタイムのデータ分析を通じてパーソナライズされた顧客体験に至るまで、IMDBは、技術的な優位性によって競争上の優位性を確保しようとする企業にとって極めて重要なアプリケーションです。ヘルスケア、ロジスティクス、製造業などの最終用途産業も、迅速な意思決定と業務効率化のためにIMDBを活用し、利益を得ています。

主な市場の統計
基準年[2023] 70億7,000万米ドル
予測年[2024] 77億8,000万米ドル
予測年[2030] 143億9,000万米ドル
CAGR(%) 10.67%

市場成長は、データ生成と消費の急増、大規模インメモリ計算をより優れたハードウェアでサポートする技術の進歩、部門を超えたデジタルトランスフォーメーションへのシフトなどの要因に大きく影響されます。クラウド・コンピューティングやIoTのような新技術とIMDBの統合により、スケーラビリティと柔軟性が強化され、ビジネスチャンスが広がっています。企業は、正確かつ迅速な洞察に対する急増する需要に対応するため、インメモリ処理にAI主導のアナリティクスを組み込むことで、リアルタイム・アナリティクス能力の拡大に注力することが推奨されます。

しかし、同市場は、RAMの高コスト、データ復旧と永続性における課題、高速データ処理環境に固有のセキュリティ上の懸念による制約に直面しています。こうした課題を克服するためには、ストレージの費用対効果の最適化、データ・セキュリティ対策の強化、データ永続化機能の強化に重点を置いた技術革新と研究が必要です。

今後の調査では、不揮発性メモリ技術や量子コンピューティング・アルゴリズムを活用し、IMDBの機能をさらに推し進めることが検討されると思われます。市場は、絶え間ない技術革新と戦略的提携を原動力とするダイナミックな動きを続けており、技術革新と市場ニーズの最前線に立ち続けることで、企業に成長の道を提示しています。このような進化する次元を取り込むために事業戦略を適応させることで、市場の関連性と競争優位性を持続的に確保することができます。

市場力学:急速に進化するインメモリデータベース市場における主要市場インサイトの解明

インメモリデータベース市場は、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についてより明確に理解することができます。

  • 市場促進要因
    • より迅速なデータ検索と処理時間の必要性
    • 世界の産業とビジネスにおけるデジタル化の進展
    • クラウドベースのサービス導入の急増
  • 市場抑制要因
    • インメモリデータベースの導入コストの高さ
  • 市場機会
    • インメモリデータベースにおける技術の進歩
    • ビッグデータとIoTの著しい成長
  • 市場の課題
    • データ漏洩とプライバシーへの懸念

ポーターの5つの力:インメモリデータベース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:インメモリデータベース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、インメモリデータベース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。

市場シェア分析インメモリデータベース市場における競合情勢の把握

インメモリデータベース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・マトリックスインメモリデータベース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、インメモリデータベース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。

戦略分析と推奨インメモリデータベース市場における成功への道筋を描く

インメモリデータベース市場の戦略分析は、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
      • より高速なデータ取得と処理時間の必要性
      • 世界中の業界や企業でデジタル化が進む
      • クラウドベースのサービスの導入急増
    • 抑制要因
      • インメモリデータベースの実装コストが高い
    • 機会
      • インメモリデータベースにおける技術的進歩
      • ビッグデータとIoTの大幅な成長
    • 課題
      • データ漏洩とプライバシーに関する懸念
  • 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 インメモリデータベース市場データタイプ別

  • 新しいSQL
  • ノーSQL
  • リレーショナル

第7章 インメモリデータベース市場処理タイプ別

  • オンライン分析処理(OLAP)
  • オンライントランザクション処理(OLTP)

第8章 インメモリデータベース市場:用途別

  • 分析
  • 報告
  • 取引

第9章 インメモリデータベース市場導入モデル別

  • オンデマンド
  • オンプレミス

第10章 インメモリデータベース市場:組織規模別

  • 大企業
  • 中小企業

第11章 インメモリデータベース市場:業界別

  • 学術調査
  • BFSI
  • エネルギー・公益事業
  • 政府と防衛
  • ヘルスケアとライフサイエンス
  • ITおよび通信
  • 製造業
  • メディアとエンターテイメント
  • 小売・消費財
  • 交通機関

第12章 南北アメリカのインメモリデータベース市場

  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第13章 アジア太平洋地域のインメモリデータベース市場

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

第14章 欧州・中東・アフリカのインメモリデータベース市場

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

第15章 競合情勢

  • 市場シェア分析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

  • Aerospike, Inc.
  • Altibase Corporation
  • Amazon Web Services, Inc.
  • Cloud Software Group, Inc.
  • Enea AB
  • Exasol Group
  • GridGain Systems, Inc.
  • Hazelcast
  • International Business Machine Corporation
  • McObject GmbH
  • Microsoft Corporation
  • MongoDB, Inc.
  • Oracle Corporation
  • Raima, Inc.
  • Redis Ltd.
  • Salesforce, Inc.
  • SAP SE
  • SingleStore, Inc.
  • Teradata Corporation
  • VMware, Inc.
  • Volt Active Data, Inc.
図表

LIST OF FIGURES

  • FIGURE 1. IN-MEMORY DATABASE MARKET RESEARCH PROCESS
  • FIGURE 2. IN-MEMORY DATABASE MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL IN-MEMORY DATABASE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
  • FIGURE 15. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2023 VS 2030 (%)
  • FIGURE 17. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 19. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 21. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 26. IN-MEMORY DATABASE MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 27. IN-MEMORY DATABASE MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. IN-MEMORY DATABASE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL IN-MEMORY DATABASE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. IN-MEMORY DATABASE MARKET DYNAMICS
  • TABLE 7. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY NEWSQL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY NOSQL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY RELATIONAL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ONLINE ANALYTICAL PROCESSING (OLAP), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ONLINE TRANSACTION PROCESSING (OLTP), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY REPORTING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY TRANSACTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ON-DEMAND, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY SMALL & MEDIUM ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ACADEMIA & RESEARCH, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY GOVERNMENT & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY IT & TELECOMMUNICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY RETAIL & CONSUMER GOODS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 34. GLOBAL IN-MEMORY DATABASE MARKET SIZE, BY TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 35. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 39. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 40. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 41. AMERICAS IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 42. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 43. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 44. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 46. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 47. ARGENTINA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 48. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 49. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 50. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 52. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 53. BRAZIL IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 54. CANADA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. CANADA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 56. CANADA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. CANADA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 58. CANADA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 59. CANADA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 60. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 61. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 64. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 65. MEXICO IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 66. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 67. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 68. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 70. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 71. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 72. UNITED STATES IN-MEMORY DATABASE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 73. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 75. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 77. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 78. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 79. ASIA-PACIFIC IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 80. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 81. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 82. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 84. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 85. AUSTRALIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 86. CHINA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 87. CHINA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 88. CHINA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. CHINA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 90. CHINA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 91. CHINA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 92. INDIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 93. INDIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. INDIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. INDIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 96. INDIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 97. INDIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 98. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 100. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 102. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 103. INDONESIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 104. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 105. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 106. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 108. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 109. JAPAN IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 110. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 111. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 112. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 113. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 114. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 115. MALAYSIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 116. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 117. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 118. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 119. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 120. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 121. PHILIPPINES IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 122. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 123. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 124. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 126. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 127. SINGAPORE IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 128. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 129. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 130. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 132. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 133. SOUTH KOREA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 134. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 135. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 136. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 137. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 138. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 139. TAIWAN IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 140. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 141. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 142. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 144. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 145. THAILAND IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 146. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 147. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 150. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 151. VIETNAM IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 152. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 153. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 154. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 156. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 157. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 158. EUROPE, MIDDLE EAST & AFRICA IN-MEMORY DATABASE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 159. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 160. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 161. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 162. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 163. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 164. DENMARK IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 165. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 166. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 167. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 169. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 170. EGYPT IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 171. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 172. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 173. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 175. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 176. FINLAND IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 177. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 178. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 179. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 180. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 181. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 182. FRANCE IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 183. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 184. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 185. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 186. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 187. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 188. GERMANY IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 189. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 190. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 191. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 193. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 194. ISRAEL IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 195. ITALY IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 196. ITALY IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 197. ITALY IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 198. ITALY IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 199. ITALY IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 200. ITALY IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 201. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 202. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 203. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 204. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 205. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 206. NETHERLANDS IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 207. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 208. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 209. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 210. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 211. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 212. NIGERIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 213. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 214. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 215. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 216. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 217. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 218. NORWAY IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 219. POLAND IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 220. POLAND IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 221. POLAND IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 222. POLAND IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 223. POLAND IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 224. POLAND IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 225. QATAR IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 226. QATAR IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 227. QATAR IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 228. QATAR IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 229. QATAR IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 230. QATAR IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 231. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 232. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 233. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 234. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 235. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 236. RUSSIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 237. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 238. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 239. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 240. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 241. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 242. SAUDI ARABIA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 243. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 244. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 245. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 246. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 247. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 248. SOUTH AFRICA IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 249. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 250. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 251. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 252. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 253. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 254. SPAIN IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 255. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 256. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 257. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 258. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 259. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 260. SWEDEN IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 261. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 262. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 263. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 264. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 265. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 266. SWITZERLAND IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 267. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 268. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 269. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 270. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 271. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 272. TURKEY IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 273. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 274. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 275. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 276. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 277. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 278. UNITED ARAB EMIRATES IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 279. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 280. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY PROCESSING TYPE, 2018-2030 (USD MILLION)
  • TABLE 281. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 282. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 283. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 284. UNITED KINGDOM IN-MEMORY DATABASE MARKET SIZE, BY VERTICAL, 2018-2030 (USD MILLION)
  • TABLE 285. IN-MEMORY DATABASE MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 286. IN-MEMORY DATABASE MARKET, FPNV POSITIONING MATRIX, 2023
目次
Product Code: MRR-F6513A06BDAE

The In-Memory Database Market was valued at USD 7.07 billion in 2023, expected to reach USD 7.78 billion in 2024, and is projected to grow at a CAGR of 10.67%, to USD 14.39 billion by 2030.

In-memory databases (IMDB) are a type of database management system that primarily rely on main memory for data storage, offering significant speed advantages over traditional disk-based databases. The increasing necessity for IMDBs stems from the global need for high-speed data processing and real-time analytics, critical for sectors like banking, telecommunications, and retail where rapid information retrieval is paramount. With applications ranging from transaction processing in financial services to personalized customer experiences through real-time data analysis, IMDBs are crucial for businesses striving for competitive advantage through technological edge. End-use industries such as healthcare, logistics, and manufacturing also benefit, leveraging IMDBs for quick decision-making and operational efficiency.

KEY MARKET STATISTICS
Base Year [2023] USD 7.07 billion
Estimated Year [2024] USD 7.78 billion
Forecast Year [2030] USD 14.39 billion
CAGR (%) 10.67%

Market growth is significantly influenced by factors like the massive surge in data generation and consumption, advancements in technology enabling better hardware support for large-scale in-memory computation, and the shift toward digital transformation across sectors. Opportunities are being driven by the integration of IMDBs with emerging technologies like cloud computing and IoT, enhancing scalability and flexibility. Companies are advised to focus on expanding their real-time analytics capability by incorporating AI-driven analytics with in-memory processing to meet the burgeoning demand for precise and speedy insights.

However, the market faces limitations due to the high cost of RAM, challenges in data recovery and persistence, and security concerns inherent in rapid data processing environments. To overcome these challenges, innovation and research should focus on optimizing storage cost-effectiveness, strengthening data security measures, and enhancing data persistence functions.

Future research could investigate leveraging non-volatile memory technologies and quantum computing algorithms to further propel the capabilities of IMDBs. The market remains dynamic, powered by continuous technological advancements and strategic alliances, presenting firms with avenues for growth by staying at the forefront of technological innovation and market needs. Adapting business strategies to incorporate these evolving dimensions will ensure sustained market relevance and competitive advantage.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving In-Memory Database Market

The In-Memory Database 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
    • Need for faster data retrievals and processing times
    • Increasing digitalization across industries and businesses worldwide
    • Surge in adoption of cloud-based services
  • Market Restraints
    • High cost of implementation of in-memory databases
  • Market Opportunities
    • Technological advancements in in-memory database
    • Significant growth of big data and IoT
  • Market Challenges
    • Data breach and privacy concerns

Porter's Five Forces: A Strategic Tool for Navigating the In-Memory Database Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the In-Memory Database 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 In-Memory Database Market

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

A detailed market share analysis in the In-Memory Database 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 In-Memory Database Market

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

A strategic analysis of the In-Memory Database 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 In-Memory Database Market, highlighting leading vendors and their innovative profiles. These include Aerospike, Inc., Altibase Corporation, Amazon Web Services, Inc., Cloud Software Group, Inc., Enea AB, Exasol Group, GridGain Systems, Inc., Hazelcast, International Business Machine Corporation, McObject GmbH, Microsoft Corporation, MongoDB, Inc., Oracle Corporation, Raima, Inc., Redis Ltd., Salesforce, Inc., SAP SE, SingleStore, Inc., Teradata Corporation, VMware, Inc., and Volt Active Data, Inc..

Market Segmentation & Coverage

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

  • Based on Data Type, market is studied across NewSQL, NOSQL, and Relational.
  • Based on Processing Type, market is studied across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP).
  • Based on Application, market is studied across Analytics, Reporting, and Transaction.
  • Based on Deployment Model, market is studied across On-Demand and On-Premise.
  • Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
  • Based on Vertical, market is studied across Academia & Research, BFSI, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT & Telecommunication, Manufacturing, Media & Entertainment, Retail & Consumer Goods, and Transportation.
  • 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. Need for faster data retrievals and processing times
      • 5.1.1.2. Increasing digitalization across industries and businesses worldwide
      • 5.1.1.3. Surge in adoption of cloud-based services
    • 5.1.2. Restraints
      • 5.1.2.1. High cost of implementation of in-memory databases
    • 5.1.3. Opportunities
      • 5.1.3.1. Technological advancements in in-memory database
      • 5.1.3.2. Significant growth of big data and IoT
    • 5.1.4. Challenges
      • 5.1.4.1. Data breach and privacy concerns
  • 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. In-Memory Database Market, by Data Type

  • 6.1. Introduction
  • 6.2. NewSQL
  • 6.3. NOSQL
  • 6.4. Relational

7. In-Memory Database Market, by Processing Type

  • 7.1. Introduction
  • 7.2. Online Analytical Processing (OLAP)
  • 7.3. Online Transaction Processing (OLTP)

8. In-Memory Database Market, by Application

  • 8.1. Introduction
  • 8.2. Analytics
  • 8.3. Reporting
  • 8.4. Transaction

9. In-Memory Database Market, by Deployment Model

  • 9.1. Introduction
  • 9.2. On-Demand
  • 9.3. On-Premise

10. In-Memory Database Market, by Organization Size

  • 10.1. Introduction
  • 10.2. Large Enterprises
  • 10.3. Small & Medium Enterprises

11. In-Memory Database Market, by Vertical

  • 11.1. Introduction
  • 11.2. Academia & Research
  • 11.3. BFSI
  • 11.4. Energy & Utilities
  • 11.5. Government & Defense
  • 11.6. Healthcare & Life Sciences
  • 11.7. IT & Telecommunication
  • 11.8. Manufacturing
  • 11.9. Media & Entertainment
  • 11.10. Retail & Consumer Goods
  • 11.11. Transportation

12. Americas In-Memory Database Market

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

13. Asia-Pacific In-Memory Database Market

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

14. Europe, Middle East & Africa In-Memory Database Market

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

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2023
  • 15.2. FPNV Positioning Matrix, 2023
  • 15.3. Competitive Scenario Analysis
  • 15.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. Aerospike, Inc.
  • 2. Altibase Corporation
  • 3. Amazon Web Services, Inc.
  • 4. Cloud Software Group, Inc.
  • 5. Enea AB
  • 6. Exasol Group
  • 7. GridGain Systems, Inc.
  • 8. Hazelcast
  • 9. International Business Machine Corporation
  • 10. McObject GmbH
  • 11. Microsoft Corporation
  • 12. MongoDB, Inc.
  • 13. Oracle Corporation
  • 14. Raima, Inc.
  • 15. Redis Ltd.
  • 16. Salesforce, Inc.
  • 17. SAP SE
  • 18. SingleStore, Inc.
  • 19. Teradata Corporation
  • 20. VMware, Inc.
  • 21. Volt Active Data, Inc.