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1453896

データマイニングツールの2030年までの市場予測: 展開タイプ、サービス、部門、組織規模、エンドユーザー、地域別の世界分析

Data Mining Tools Market Forecasts to 2030 - Global Analysis By Deployment Type (Cloud and On-Premises), Service, Business Function, Organization Size, End User and By Geography

出版日: | 発行: Stratistics Market Research Consulting | ページ情報: 英文 200+ Pages | 納期: 2~3営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報(例:国別セグメント)の追加などの対応が可能です。  詳細はお問い合わせください。

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=157.14円
データマイニングツールの2030年までの市場予測: 展開タイプ、サービス、部門、組織規模、エンドユーザー、地域別の世界分析
出版日: 2024年03月03日
発行: Stratistics Market Research Consulting
ページ情報: 英文 200+ Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

Stratistics MRCによると、世界のデータマイニングツール市場は2023年に7億5,360万米ドルを占め、2030年には18億1,740万米ドルに達すると予測されています。

データマイニングツールは、大規模なデータセットから意味のあるパターン、洞察、知識を抽出するために設計されたソフトウェアアプリケーションです。これらのツールは、統計分析や機械学習アルゴリズムを含む様々な技術を採用し、データの探索と変換のプロセスを促進することで、組織が意思決定のために価値ある情報を発見できるようにします。マーケティング、金融、医療、小売などの業界では、膨大なデータの効率的な分析と解釈を可能にすることで、戦略的な意思決定と業務の最適化を実現し、重要な役割を果たしています。

データ量の増加

データマイニングツールによって、組織はこの膨大なデータから価値ある洞察を引き出すことができます。高度なアルゴリズムと分析技術を採用することで、これらのツールは、手作業では非現実的または不可能な隠れたパターンや動向を発見することができます。さらに、データ量の増加は、顧客体験の向上、業務の最適化、イノベーションの推進といったビジネスチャンスをもたらし、市場規模を押し上げています。

高い初期コスト

データマイニングソフトウェアのライセンスやサブスクリプションの購入には、初期費用がかかります。これらのコストは、特にエンタープライズグレードのソリューションや高度な分析機能を提供するソリューションの場合、相当な額になる可能性があります。さらに、アップデート、テクニカルサポート、インフラメンテナンスなどの継続的なメンテナンスコストが、データマイニングツールの総所有コストに寄与します。小規模な組織や厳しい予算で運営されている組織にとっては、このような高コストが大きな参入障壁となり、データマイニングツールの導入が制限される可能性があります。

クラウドベースのソリューションの利用可能性

クラウドベースのデータマイニングツールは、組織が高価なオンプレミスインフラストラクチャに投資し、維持する必要性を排除します。このアクセシビリティはデータマイニングを民主化し、あらゆる規模の組織が先行投資なしで高度なアナリティクスを活用することを可能にします。さらに、クラウドベースのソリューションが利用可能になることで、参入障壁が低くなり、データから実用的な知見をより効率的に抽出するためのTime-to-Valueが加速します。

専門知識の不足

データマイニングツールを効果的に運用するために必要な技術的スキルと専門知識を持つ専門家が不足しています。このため、需要が高く供給が限られており、熟練した専門家の雇用コストが上昇しています。しかし、このセグメントは比較的新しく、急速に進化しているため、必要な専門知識を持つ人材が不足しており、データマイニングツールの成長と導入に大きな制約となっていました。

COVID-19の影響

COVID-19の流行は、主に経済の混乱、優先順位のシフト、企業が直面する運用上の課題により、データマイニングツール市場にいくつかの悪影響を与えました。このため、データマイニングツールや分析ソフトウェアなど、不要不急の投資への支出が減少しています。さらに、パンデミックによるサプライチェーンの混乱やプロジェクト導入の遅れにより、一部の組織ではデータマイニングツールの導入が遅れています。

予測期間中はクラウドセグメントが最大になる見込み

クラウドコンピューティングインフラを活用してデータ分析タスクを実行するクラウドセグメントは、その拡大性、アクセス性、費用対効果により、最大のシェアを占めると推定されます。これらのツールには、柔軟性などの利点があり、ユーザーは大規模なハードウェア投資を必要とせずに、インターネット接続があればどこからでもデータにアクセスして分析することができます。さらに、他のクラウドサービスと統合されることが多く、シームレスなデータ管理と分析ワークフローが容易になるため、このセグメントの成長を後押ししています。

予測期間中にCAGRが最も高くなると予想されるのはマーケティングセグメントです。

マーケティングセグメントは、企業が顧客データから実用的な洞察を得てマーケティング戦略やキャンペーンを最適化する上で極めて重要な役割を果たすため、予測期間中のCAGRが最も高くなると予測されます。これらのツールは、高度なアルゴリズムとテクニックを利用して、顧客のニーズを満たすために特定の顧客サービスを対象にします。さらに、マーケティング担当者は予測分析を活用することで、マーケティング予算を最適化し、リソースを効率的に配分し、マーケティングキャンペーン全体の投資収益率(ROI)を向上させることができます。

最大のシェアを持つ地域:

アジア太平洋は、地域全体で経済のデジタル化が進み、さまざまな情報源から膨大な量のデータが生成されるようになったため、推定期間中に最大の市場シェアを占めました。インド、中国、シンガポールといった国々は、データ分析イノベーションの拠点として台頭しており、国内外の参入企業から投資を集めています。さらに、熟練した人材の確保と新興企業のエコシステムの急成長が、アジア太平洋のデータマイニングツール市場の拡大に寄与しています。

CAGRが最も高い地域:

欧州では、競争優位のためにデータ分析を活用することの重要性に対する認識が企業間で高まっているため、予測期間中にCAGRが最も高くなると予想されます。さまざまな業界の企業がデータ主導の意思決定の価値を認識しており、データマイニングツールへの投資が増加しています。さらに、欧州の政府や研究機関は、データ分析のイノベーションを促進するためのイニシアチブを積極的に推進しており、同地域における高度なデータマイニングアルゴリズムとツールの開発を促進しています。

無料のカスタマイズサービス:

本レポートをご購読のお客様には、以下の無料カスタマイズオプションのいずれかをご利用いただけます。

  • 企業プロファイル
    • 追加市場参入企業の包括的プロファイリング(3社まで)
    • 主要企業のSWOT分析(3社まで)
  • 地域セグメンテーション
    • 顧客の関心に応じた主要国の市場推定・予測・CAGR(注:フィージビリティチェックによる)
  • 競合ベンチマーキング
    • 製品ポートフォリオ、地理的プレゼンス、戦略的提携に基づく主要企業のベンチマーキング

目次

第1章 エグゼクティブサマリー

第2章 序文

  • 概要
  • ステークホルダー
  • 調査範囲
  • 調査手法
    • データマイニング
    • データ分析
    • データ検証
    • 調査アプローチ
  • 調査ソース
    • 1次調査ソース
    • 2次調査ソース
    • 前提条件

第3章 市場動向分析

  • イントロダクション
  • 促進要因
  • 抑制要因
  • 機会
  • 脅威
  • エンドユーザー分析
  • 新興市場
  • 新型コロナウイルス感染症(COVID-19)の影響

第4章 ポーターのファイブフォース分析

  • 供給企業の交渉力
  • 買い手の交渉力
  • 代替品の脅威
  • 新規参入業者の脅威
  • 競争企業間の敵対関係

第5章 世界のデータマイニングツール市場:展開タイプ別

  • イントロダクション
  • クラウド
  • オンプレミス

第6章 世界のデータマイニングツール市場:サービス別

  • イントロダクション
  • コンサルティングと実装
  • マネージドサービス
  • その他

第7章 世界のデータマイニングツール市場:部門別

  • イントロダクション
  • ファイナンス
  • サプライチェーンと物流
  • マーケティング
  • オペレーション

第8章 世界のデータマイニングツール市場:組織規模別

  • イントロダクション
  • 中小企業
  • 大企業

第9章 世界のデータマイニングツール市場:エンドユーザー別

  • イントロダクション
  • 小売り
  • 医療とライフサイエンス
  • 銀行、金融サービス、保険
  • 通信とIT
  • エネルギーと公共事業
  • 政府と防衛
  • 製造業
  • その他

第10章 世界のデータマイニングツール市場:地域別

  • イントロダクション
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • イタリア
    • フランス
    • スペイン
    • その他の欧州
  • アジア太平洋
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他のアジア太平洋
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他の南米
  • 中東・アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他の中東・アフリカ

第11章 主要発展

  • 契約、パートナーシップ、コラボレーション、合弁事業
  • 買収と合併
  • 新製品の発売
  • 事業拡大
  • その他の主要戦略

第12章 企業プロファイル

  • Microsoft
  • IBM
  • Oracle
  • SAS Institute
  • Intel
  • RapidMiner
  • Teradata
  • KNIME
  • SAP SE
  • Salford Systems
  • Megaputer
  • Biomax Informatics
  • Dataiku, Reltio
  • SenticNet
  • Wolfram
  • Business Insight
  • MathWorks
  • Alteryx
  • H2O.ai
  • Angoss
図表

List of Tables

  • Table 1 Global Data Mining Tools Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 3 Global Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 4 Global Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 5 Global Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 6 Global Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 7 Global Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 8 Global Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 9 Global Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 10 Global Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 11 Global Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 12 Global Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 13 Global Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 14 Global Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 15 Global Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 16 Global Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 17 Global Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 18 Global Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 19 Global Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 20 Global Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 21 Global Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 22 Global Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 23 Global Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 24 Global Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 25 Global Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 26 North America Data Mining Tools Market Outlook, By Country (2021-2030) ($MN)
  • Table 27 North America Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 28 North America Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 29 North America Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 30 North America Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 31 North America Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 32 North America Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 33 North America Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 34 North America Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 35 North America Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 36 North America Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 37 North America Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 38 North America Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 39 North America Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 40 North America Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 41 North America Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 42 North America Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 43 North America Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 44 North America Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 45 North America Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 46 North America Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 47 North America Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 48 North America Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 49 North America Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 50 North America Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 51 Europe Data Mining Tools Market Outlook, By Country (2021-2030) ($MN)
  • Table 52 Europe Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 53 Europe Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 54 Europe Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 55 Europe Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 56 Europe Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 57 Europe Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 58 Europe Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 59 Europe Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 60 Europe Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 61 Europe Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 62 Europe Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 63 Europe Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 64 Europe Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 65 Europe Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 66 Europe Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 67 Europe Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 68 Europe Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 69 Europe Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 70 Europe Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 71 Europe Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 72 Europe Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 73 Europe Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 74 Europe Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 75 Europe Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 76 Asia Pacific Data Mining Tools Market Outlook, By Country (2021-2030) ($MN)
  • Table 77 Asia Pacific Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 78 Asia Pacific Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 79 Asia Pacific Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 80 Asia Pacific Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 81 Asia Pacific Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 82 Asia Pacific Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 83 Asia Pacific Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 84 Asia Pacific Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 85 Asia Pacific Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 86 Asia Pacific Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 87 Asia Pacific Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 88 Asia Pacific Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 89 Asia Pacific Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 90 Asia Pacific Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 91 Asia Pacific Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 92 Asia Pacific Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 93 Asia Pacific Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 94 Asia Pacific Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 95 Asia Pacific Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 96 Asia Pacific Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 97 Asia Pacific Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 98 Asia Pacific Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 99 Asia Pacific Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 100 Asia Pacific Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 101 South America Data Mining Tools Market Outlook, By Country (2021-2030) ($MN)
  • Table 102 South America Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 103 South America Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 104 South America Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 105 South America Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 106 South America Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 107 South America Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 108 South America Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 109 South America Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 110 South America Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 111 South America Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 112 South America Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 113 South America Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 114 South America Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 115 South America Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 116 South America Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 117 South America Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 118 South America Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 119 South America Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 120 South America Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 121 South America Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 122 South America Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 123 South America Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 124 South America Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 125 South America Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 126 Middle East & Africa Data Mining Tools Market Outlook, By Country (2021-2030) ($MN)
  • Table 127 Middle East & Africa Data Mining Tools Market Outlook, By Deployment Type (2021-2030) ($MN)
  • Table 128 Middle East & Africa Data Mining Tools Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 129 Middle East & Africa Data Mining Tools Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 130 Middle East & Africa Data Mining Tools Market Outlook, By Service (2021-2030) ($MN)
  • Table 131 Middle East & Africa Data Mining Tools Market Outlook, By Consulting and Implementation (2021-2030) ($MN)
  • Table 132 Middle East & Africa Data Mining Tools Market Outlook, By Managed Service (2021-2030) ($MN)
  • Table 133 Middle East & Africa Data Mining Tools Market Outlook, By Other Services (2021-2030) ($MN)
  • Table 134 Middle East & Africa Data Mining Tools Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 135 Middle East & Africa Data Mining Tools Market Outlook, By Finance (2021-2030) ($MN)
  • Table 136 Middle East & Africa Data Mining Tools Market Outlook, By Supply Chain and Logistics (2021-2030) ($MN)
  • Table 137 Middle East & Africa Data Mining Tools Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 138 Middle East & Africa Data Mining Tools Market Outlook, By Operations (2021-2030) ($MN)
  • Table 139 Middle East & Africa Data Mining Tools Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 140 Middle East & Africa Data Mining Tools Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 141 Middle East & Africa Data Mining Tools Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 142 Middle East & Africa Data Mining Tools Market Outlook, By End User (2021-2030) ($MN)
  • Table 143 Middle East & Africa Data Mining Tools Market Outlook, By Retail (2021-2030) ($MN)
  • Table 144 Middle East & Africa Data Mining Tools Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 145 Middle East & Africa Data Mining Tools Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 146 Middle East & Africa Data Mining Tools Market Outlook, By Telecom and IT (2021-2030) ($MN)
  • Table 147 Middle East & Africa Data Mining Tools Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 148 Middle East & Africa Data Mining Tools Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 149 Middle East & Africa Data Mining Tools Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 150 Middle East & Africa Data Mining Tools Market Outlook, By Other End Users (2021-2030) ($MN)
目次
Product Code: SMRC25448

According to Stratistics MRC, the Global Data Mining Tools Market is accounted for $753.6 million in 2023 and is expected to reach $1,817.4 million by 2030 growing at a CAGR of 13.4% during the forecast period. Data mining tools are software applications designed to extract meaningful patterns, insights, and knowledge from large datasets. These tools employ various techniques, including statistical analysis and machine learning algorithms, and facilitate the process of data exploration and transformation, enabling organizations to uncover valuable information for decision-making. They play a crucial role in industries such as marketing, finance, healthcare, and retail by enabling efficient analysis and interpretation of vast amounts of data to drive strategic decisions and optimize operations.

Market Dynamics:

Driver:

Increasing data volume

Data mining tools enable organizations to extract valuable insights from this massive volume of data. By employing advanced algorithms and analytical techniques, these tools can uncover hidden patterns and trends that would be impractical or impossible to identify manually. Furthermore, the increasing data volume presents opportunities for businesses to enhance customer experiences, optimize operations, and drive innovation, which are propelling this market size.

Restraint:

High initial cost

There is upfront acquisition costs associated with purchasing licenses or subscriptions for data mining software. These costs can be substantial, especially for enterprise-grade solutions or those offering advanced analytics capabilities. Moreover, ongoing maintenance costs, including updates, technical support, and infrastructure maintenance, contribute to the total cost of ownership of data mining tools. For smaller organizations or those operating on tight budgets, these high costs can act as a significant barrier to entry, limiting their ability to adopt data mining tools.

Opportunity:

Availability of cloud-based solutions

Cloud-based data mining tools eliminate the need for organizations to invest in and maintain expensive on-premises infrastructure. This accessibility democratizes data mining, making it feasible for organizations of all sizes to leverage advanced analytics without an upfront capital investment. In addition, the availability of cloud-based solutions lowers barriers to entry and accelerates time-to-value to extract actionable insights from their data more efficiently, which is boosting this market's expansion.

Threat:

Lack of expertise

There is a scarcity of professionals who possess the technical skills and domain knowledge required to effectively operate data mining tools. This had led to high demand and limited supply, driving up the cost of hiring skilled professionals. However, due to the relatively new and rapidly evolving nature of the field, there was a shortage of individuals with the requisite expertise, which posed a significant constraint on the growth and adoption of data mining tools.

Covid-19 Impact

The COVID-19 pandemic has had several negative impacts on the data mining tools market, primarily due to economic disruptions, shifts in priorities, and operational challenges faced by businesses. This has led to a reduction in spending on non-essential investments, including data mining tools and analytics software. Additionally, the disruptions to supply chains and delays in project implementations caused by the pandemic have led to delays in the adoption of data mining tools by some organizations.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is estimated to hold the largest share due to its scalability, accessibility, and cost-effectiveness, which leverage cloud computing infrastructure to perform data analysis tasks. These tools offer advantages such as flexibility, allowing users to access and analyze data from anywhere with an internet connection without requiring extensive hardware investments. Moreover, they often integrate with other cloud services, facilitating seamless data management and analysis workflows, thereby driving this segment's growth.

The marketing segment is expected to have the highest CAGR during the forecast period

The marketing segment is anticipated to have highest CAGR during the forecast period due to its pivotal role in helping businesses gain actionable insights from customer data to optimize marketing strategies and campaigns. These tools utilize advanced algorithms and techniques to target specific customer services to meet customer needs. Additionally, by leveraging predictive analytics, marketers can optimize marketing budgets, allocate resources efficiently, and improve the overall return on investment (ROI) of marketing campaigns, which is boosting this segment's expansion.

Region with largest share:

Asia Pacific commanded the largest market share during the extrapolated period, owing to the increasing digitization of economies across the region, which has led to the generation of vast amounts of data from various sources. Countries like India, China, and Singapore are emerging as hubs for data analytics innovation, attracting investment from both domestic and international players. In addition, the availability of skilled talent and a burgeoning startup ecosystem are contributing to the expansion of the data mining tools market in Asia Pacific.

Region with highest CAGR:

Europe is expected to witness highest CAGR over the projection period, owing to a growing awareness among European businesses about the importance of leveraging data analytics for competitive advantage. Companies across various industries are recognizing the value of data-driven decision-making and are thus increasingly investing in data mining tools. Furthermore, European governments and research institutions are actively promoting initiatives to foster innovation in data analytics, driving the development of sophisticated data mining algorithms and tools within the region.

Key players in the market

Some of the key players in the Data Mining Tools Market include Microsoft, IBM, Oracle, SAS Institute, Intel, RapidMiner, Teradata, KNIME, SAP SE, Salford Systems, Megaputer, Biomax Informatics, Dataiku, Reltio, SenticNet, Wolfram, Business Insight, MathWorks, Alteryx, H2O.ai and Angoss.

Key Developments:

In February 2024, Intel Corp. launched Intel Foundry as a more sustainable systems foundry business designed for the AI era and announced an expanded process roadmap designed to establish leadership into the latter part of this decade.

In January 2024, The GSMA and IBM announced a new collaboration to support the adoption and skills of generative artificial intelligence (AI) in the telecom industry through the launch of GSMA Advance's AI Training program and the GSMA Foundry Generative AI program.

In January 2024, Intel Corp. and United Microelectronics Corporation announced that they will collaborate on the development of a 12-nanometer semiconductor process platform to address high-growth markets such as mobile, communication infrastructure and networking.

In December 2023, IBM announced that it has entered into a definitive agreement with Software AG, a company majority owned by Silver Lake, to purchase StreamSets and webMethods, Software AG's Super iPaaS (integration platform-as-a-service) enterprise technology platforms.

Deployment Types Covered:

  • Cloud
  • On-Premises

Services Covered:

  • Consulting and Implementation
  • Managed Service
  • Other Services

Business Functions Covered:

  • Finance
  • Supply Chain and Logistics
  • Marketing
  • Operations

Organization Size Covered:

  • Small and Medium-Sized Enterprises
  • Large Enterprises

End Users Covered:

  • Retail
  • Healthcare and Life Sciences
  • Banking, Financial Services, and Insurance
  • Telecom and IT
  • Energy and Utilities
  • Government and Defense
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Mining Tools Market, By Deployment Type

  • 5.1 Introduction
  • 5.2 Cloud
  • 5.3 On-Premises

6 Global Data Mining Tools Market, By Service

  • 6.1 Introduction
  • 6.2 Consulting and Implementation
  • 6.3 Managed Service
  • 6.4 Other Services

7 Global Data Mining Tools Market, By Business Function

  • 7.1 Introduction
  • 7.2 Finance
  • 7.3 Supply Chain and Logistics
  • 7.4 Marketing
  • 7.5 Operations

8 Global Data Mining Tools Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Enterprises
  • 8.3 Large Enterprises

9 Global Data Mining Tools Market, By End User

  • 9.1 Introduction
  • 9.2 Retail
  • 9.3 Healthcare and Life Sciences
  • 9.4 Banking, Financial Services, and Insurance
  • 9.5 Telecom and IT
  • 9.6 Energy and Utilities
  • 9.7 Government and Defense
  • 9.8 Manufacturing
  • 9.9 Other End Users

10 Global Data Mining Tools Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Microsoft
  • 12.2 IBM
  • 12.3 Oracle
  • 12.4 SAS Institute
  • 12.5 Intel
  • 12.6 RapidMiner
  • 12.7 Teradata
  • 12.8 KNIME
  • 12.9 SAP SE
  • 12.10 Salford Systems
  • 12.11 Megaputer
  • 12.12 Biomax Informatics
  • 12.13 Dataiku, Reltio
  • 12.14 SenticNet
  • 12.15 Wolfram
  • 12.16 Business Insight
  • 12.17 MathWorks
  • 12.18 Alteryx
  • 12.19 H2O.ai
  • 12.20 Angoss