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1423713

意思決定インテリジェンス市場の2030年までの予測: コンポーネント別、展開形態別、企業規模別、用途別、エンドユーザー別、地域別の世界分析

Decision Intelligence Market Forecasts to 2030 - Global Analysis By Component (Services, Solutions and Platform), Deployment Mode, Enterprise Size, Application, 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

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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=156.76円
意思決定インテリジェンス市場の2030年までの予測: コンポーネント別、展開形態別、企業規模別、用途別、エンドユーザー別、地域別の世界分析
出版日: 2024年02月02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、世界の意思決定インテリジェンス市場は2023年に120億米ドルを占め、予測期間中のCAGRは19.8%で成長し、2030年には424億米ドルに達する見込みです。

意思決定インテリジェンス(DI)市場とは、先進技術、データ分析、人工知能を活用して組織内の意思決定プロセスを強化する急成長中の産業を指します。意思決定ワークフローを最適化し、戦略立案、業務効率化、リスク管理のための実用的な洞察を提供するよう設計されたさまざまなソリューションが含まれます。意思決定インテリジェンスは、機械学習アルゴリズム、予測分析、データ可視化ツールを統合し、企業が十分な情報に基づいたタイムリーな選択を行えるよう支援します。

ガートナー社によると、人工知能(AI)とデータ解析は、2025年までにベンチャーキャピタル(VC)とアーリーステージ投資家の経営者評価の75%以上に活用されます。最近のガートナー社の世論調査によると、経営幹部の80%が、あらゆる種類のビジネス上の意思決定に自動化が利用できると考えています。デジタル・ビジネスと自動化の統合が進むにつれ、この世論調査では、企業が自動化の取り組みにおいて人工知能(AI)をどのように活用しているかが明らかになった。

ビジネス環境の複雑化

急速な技術進歩、世界化、複雑な相互接続が顕著な時代において、組織は多面的な課題に取り組んでいます。意思決定者は多様なソースからの膨大なデータに直面し、手作業でパターンを読み解き、動向を予測し、実用的な洞察を導き出すことがますます困難になっています。意思決定インテリジェンスは、高度な分析、人工知能、機械学習を活用し、膨大なデータセットから意味のある情報を抽出することで、この複雑さに対処します。さらに、関連するパターンを識別し、機会を特定し、複雑な意思決定ランドスケープを俊敏にナビゲートすることを可能にします。

熟練した専門家の不足

意思決定インテリジェンスの分野では、データサイエンス、人工知能、機械学習、分野固有の知識など、専門知識を独自にブレンドする必要があります。このような学際的なスキルを持つ専門家が不足していることが、組織内でのデシジョン・インテリジェンス・ツールの効果的な導入と活用を妨げています。熟練した人材に対する需要は供給量を上回ることが多く、その結果、有能な人材の競合が激化しています。しかし、この不足は導入に必要な時間とリソースを拡大するだけでなく、人件費の上昇にもつながります。

人工知能(AI)と機械学習(ML)の進歩

AIとML技術の進歩は、膨大で複雑なデータセットを分析する前例のない能力を意思決定支援システムに与えます。これらのテクノロジーにより、アルゴリズムは時間の経過とともに学習、適応、改善され、意思決定プロセスの精度と効率が向上します。意思決定インテリジェンスは、これらの機能を活用し、組織に予測的分析と処方的分析を提供することで、十分な情報に基づいた選択をリアルタイムで行えるようにします。さらに、デシジョン・インテリジェンスとAI/MLの相乗効果により、業務効率が最適化されるだけでなく、データから貴重な洞察を引き出す新たな可能性も引き出されます。

データ・プライバシーに関する懸念

意思決定が広範なデータ分析に大きく依存する中、企業はGDPRなどの厳しいデータ保護規制へのコンプライアンスを確保するという課題に直面しています。意思決定インテリジェンスの統合には、膨大な量の個人データやビジネスデータの収集と処理が伴うことが多く、潜在的な侵害や不正アクセスに対する懸念が高まります。有意義な洞察の抽出と個人のプライバシーの保護との間で微妙なバランスを取ることが極めて重要になります。組織は、こうした懸念を払拭し、利害関係者の信頼を築くために、強固なセキュリティ対策と透明性の高い慣行に投資しなければならないです。

COVID-19の影響:

パンデミックによってもたらされた複雑性と不確実性の増大は、意思決定インテリジェンスが提供する高度な分析と予測機能に対する需要を増幅させました。組織は、急速に変化する状況に対応して、オペレーション、サプライチェーン、戦略的プランニングを最適化しようと努めました。しかし、景気の不透明感から、一部の企業は予算を見直し、長期的なテクノロジー投資よりも当面のニーズを優先するようになった。しかし、パンデミックは、意思決定アルゴリズムにおける倫理的配慮と透明性の重要性も浮き彫りにしました。

予測期間中、ソリューション部門が最大となる見込み

データ主導の意思決定を促進する高度なツールやテクノロジーへの需要が高まっていることから、予測期間中はソリューション部門が最大のシェアを占めると予想されます。さまざまな分野の組織が、複雑化するビジネス環境をナビゲートするために、包括的な意思決定インテリジェンス・ソリューションを積極的に求めています。これらのソリューションは、予測分析、機械学習アルゴリズム、データ可視化ツールなど、さまざまな機能を包含しており、意思決定者に実用的な洞察を与えます。

予測期間中、クラウドセグメントのCAGRが最も高くなる見込み

クラウド分野は、高度なアナリティクスと意思決定支援ソリューションを展開するためのスケーラブルで柔軟なインフラを提供するため、予測期間中のCAGRが最も高くなると予想されます。クラウドベースの意思決定インテリジェンス・プラットフォームは、リアルタイムで大量のデータにアクセスして処理する俊敏性を組織に提供し、迅速な意思決定を可能にします。クラウドサービスのスケーラビリティにより、企業は需要に応じてコンピューティングリソースを拡張または縮小することができ、コストを最適化できます。さらに、クラウド・ソリューションはコラボレーションとアクセシビリティを促進し、意思決定者がどこからでも洞察にアクセスできるようにすることで、より分散された俊敏な意思決定プロセスを促進します。

最大のシェアを占める地域:

同地域の高度な技術インフラは、業界全体の高度なデジタル化と相まって、洗練された意思決定インテリジェンス・ソリューションの採用に適した土壌を作り出しているため、推定期間を通じて北米地域が同市場で最大のシェアを占めると予想されます。北米の企業、特に金融、ヘルスケア、テクノロジーなどの分野では、競争優位性を獲得するためにデータ主導の意思決定が不可欠であるとの認識が高まっています。さらに、主要な市場プレイヤーの存在が確立されており、イノベーションを促進するビジネス環境が整っていることも、意思決定インテリジェンス市場の形成における同地域の優位性に寄与しています。

CAGRが最も高い地域:

欧州地域は予測期間中に急成長を遂げています。一般データ保護規則(GDPR)のようなフレームワークに代表される厳しい規制状況により、企業はデータのコンプライアンスと倫理的な取り扱いのために高度な意思決定インテリジェンス・ソリューションの採用を余儀なくされています。データプライバシーとセキュリティを重視する規制が触媒となり、企業はこれらの基準の遵守を保証する高度な意思決定支援システムへの投資を促されます。さらに、欧州政府がデータ保護規制を強化し続けているため、企業は業務効率を高めるだけでなく、意思決定プロセスの透明性と説明責任を実証する意思決定インテリジェンス・ツールを統合する必要に迫られています。

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
    • 追加市場プレーヤー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計・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

  • 促進要因
  • 抑制要因
  • 機会
  • 脅威
  • アプリケーション分析
  • 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 世界の意思決定インテリジェンス市場:コンポーネント別

  • サービス
  • ソリューション
  • プラットホーム

第6章 世界の意思決定インテリジェンス市場:展開モード別

  • クラウド
  • オンプレミス
  • その他の展開モード

第7章 世界の意思決定インテリジェンス市場:企業規模別

  • 中小企業(SME)
  • 大企業

第8章 世界の意思決定インテリジェンス市場:用途別

  • 需要予測
  • 物流の最適化
  • 原因の発見
  • その他の用途

第9章 世界の意思決定インテリジェンス市場:エンドユーザー別

  • ITとテレコム
  • エネルギーと公共事業
  • ヘルスケア
  • 政府
  • 小売および消費財
  • その他のエンドユーザー

第10章 世界の意思決定インテリジェンス市場:地域別

  • 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
    • その他欧州
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • ニュージーランド
    • 韓国
    • その他アジア太平洋地域
  • 南米
    • アルゼンチン
    • ブラジル
    • チリ
    • その他南米
  • 中東とアフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • カタール
    • 南アフリカ
    • その他中東とアフリカ

第11章 主な発展

  • 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

  • International Business Machines Incorporation
  • Oracle
  • Intel Corporation
  • Pyramid Analytics Bv
  • Google LLC
  • Pace Revenue
  • Microsoft
  • Provenir
  • Diwo.ai
  • Metaphacts GmbH
  • Paretos
図表

List of Tables

  • Table 1 Global Decision Intelligence Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 5 Global Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 6 Global Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 7 Global Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 8 Global Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 9 Global Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 10 Global Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 11 Global Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 12 Global Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 13 Global Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 14 Global Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 15 Global Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 16 Global Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 17 Global Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 18 Global Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 19 Global Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 20 Global Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 21 Global Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 22 Global Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 23 Global Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 24 Global Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 25 North America Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 26 North America Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 27 North America Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 28 North America Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 29 North America Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 30 North America Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 31 North America Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 32 North America Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 33 North America Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 34 North America Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 35 North America Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 36 North America Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 37 North America Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 38 North America Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 39 North America Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 40 North America Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 41 North America Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 42 North America Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 43 North America Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 44 North America Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 45 North America Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 46 North America Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 47 North America Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 48 North America Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 49 Europe Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 50 Europe Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 51 Europe Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 52 Europe Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 53 Europe Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 54 Europe Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 55 Europe Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 56 Europe Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 57 Europe Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 58 Europe Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 59 Europe Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 60 Europe Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 61 Europe Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 62 Europe Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 63 Europe Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 64 Europe Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 65 Europe Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 66 Europe Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 67 Europe Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 68 Europe Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 69 Europe Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 70 Europe Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 71 Europe Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 72 Europe Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 73 Asia Pacific Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 74 Asia Pacific Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 75 Asia Pacific Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 76 Asia Pacific Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 77 Asia Pacific Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 78 Asia Pacific Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 79 Asia Pacific Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 80 Asia Pacific Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 81 Asia Pacific Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 82 Asia Pacific Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 83 Asia Pacific Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 84 Asia Pacific Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 85 Asia Pacific Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 86 Asia Pacific Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 87 Asia Pacific Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 88 Asia Pacific Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 89 Asia Pacific Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 90 Asia Pacific Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 91 Asia Pacific Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 92 Asia Pacific Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 93 Asia Pacific Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 94 Asia Pacific Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 95 Asia Pacific Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 96 Asia Pacific Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 97 South America Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 98 South America Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 99 South America Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 100 South America Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 101 South America Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 102 South America Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 103 South America Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 104 South America Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 105 South America Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 106 South America Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 107 South America Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 108 South America Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 109 South America Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 110 South America Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 111 South America Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 112 South America Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 113 South America Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 114 South America Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 115 South America Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 116 South America Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 117 South America Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 118 South America Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 119 South America Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 120 South America Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 121 Middle East & Africa Decision Intelligence Market Outlook, By Country (2021-2030) ($MN)
  • Table 122 Middle East & Africa Decision Intelligence Market Outlook, By Component (2021-2030) ($MN)
  • Table 123 Middle East & Africa Decision Intelligence Market Outlook, By Services (2021-2030) ($MN)
  • Table 124 Middle East & Africa Decision Intelligence Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 125 Middle East & Africa Decision Intelligence Market Outlook, By Platform (2021-2030) ($MN)
  • Table 126 Middle East & Africa Decision Intelligence Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 127 Middle East & Africa Decision Intelligence Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 128 Middle East & Africa Decision Intelligence Market Outlook, By On-premise (2021-2030) ($MN)
  • Table 129 Middle East & Africa Decision Intelligence Market Outlook, By Other Deployment Modes (2021-2030) ($MN)
  • Table 130 Middle East & Africa Decision Intelligence Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 131 Middle East & Africa Decision Intelligence Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2021-2030) ($MN)
  • Table 132 Middle East & Africa Decision Intelligence Market Outlook, By Large Enterprise (2021-2030) ($MN)
  • Table 133 Middle East & Africa Decision Intelligence Market Outlook, By Application (2021-2030) ($MN)
  • Table 134 Middle East & Africa Decision Intelligence Market Outlook, By Demand Forecasting (2021-2030) ($MN)
  • Table 135 Middle East & Africa Decision Intelligence Market Outlook, By Logistics Optimization (2021-2030) ($MN)
  • Table 136 Middle East & Africa Decision Intelligence Market Outlook, By Discovering Cause (2021-2030) ($MN)
  • Table 137 Middle East & Africa Decision Intelligence Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 138 Middle East & Africa Decision Intelligence Market Outlook, By End User (2021-2030) ($MN)
  • Table 139 Middle East & Africa Decision Intelligence Market Outlook, By IT and Telecom (2021-2030) ($MN)
  • Table 140 Middle East & Africa Decision Intelligence Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 141 Middle East & Africa Decision Intelligence Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 142 Middle East & Africa Decision Intelligence Market Outlook, By Government (2021-2030) ($MN)
  • Table 143 Middle East & Africa Decision Intelligence Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 144 Middle East & Africa Decision Intelligence Market Outlook, By Other End Users (2021-2030) ($MN)
目次
Product Code: SMRC24947

According to Stratistics MRC, the Global Decision Intelligence Market is accounted for $12.0 billion in 2023 and is expected to reach $42.4 billion by 2030 growing at a CAGR of 19.8% during the forecast period. Decision Intelligence (DI) Market refers to the burgeoning industry that leverages advanced technologies, data analytics, and artificial intelligence to enhance decision-making processes within organizations. It encompasses a range of solutions designed to optimize decision workflows, providing actionable insights for strategic planning, operational efficiency, and risk management. Decision Intelligence integrates machine learning algorithms, predictive analytics, and data visualization tools to empower businesses in making informed and timely choices.

According to Gartner, Inc., artificial intelligence (AI) and data analytics will be used to inform more than 75% of venture capital (VC) and early-stage investor executive assessments by 2025. According to a recent Gartner, Inc. poll, 80% of executives believe automation can be used in every kind of business decision. As digital business becomes more integrated with automation, the poll uncovered how companies are adapting their usage of artificial intelligence (AI) in automation initiatives.

Market Dynamics:

Driver:

Increasing complexity of business environments

In an era marked by rapid technological advancements, globalization, and intricate interconnections, organizations grapple with multifaceted challenges. Decision-makers face a deluge of data from diverse sources, making it increasingly challenging to decipher patterns, anticipate trends, and derive actionable insights manually. Decision Intelligence addresses this complexity by leveraging advanced analytics, artificial intelligence, and machine learning to distill meaningful information from vast datasets. Moreover, it enables businesses to discern relevant patterns, identify opportunities, and navigate intricate decision landscapes with agility.

Restraint:

Lack of skilled professionals

The field of Decision Intelligence requires a unique blend of expertise in data science, artificial intelligence, machine learning, and domain-specific knowledge. The scarcity of professionals possessing this interdisciplinary skill set hampers the effective implementation and utilization of Decision Intelligence tools within organizations. The demand for skilled talent often outstrips the available supply, resulting in increased competition for qualified individuals. However, this shortage not only extends the time and resources required for implementation but also leads to higher labor costs.

Opportunity:

Advancements in artificial intelligence (AI) and machine learning (ML)

Advancements in AI and ML technologies empower decision support systems with unprecedented capabilities to analyze vast and complex datasets. These technologies enable algorithms to learn, adapt, and improve over time, enhancing the accuracy and efficiency of decision-making processes. Decision Intelligence leverages these capabilities to provide organizations with predictive and prescriptive analytics, enabling them to make informed choices in real-time. Additionally, the synergy between Decision Intelligence and AI/ML not only optimizes operational efficiency but also unlocks new possibilities for uncovering valuable insights from data.

Threat:

Data privacy concerns

With decision-making heavily reliant on extensive data analysis, organizations face the challenge of ensuring compliance with stringent data protection regulations, such as GDPR. The integration of Decision Intelligence often involves the collection and processing of vast amounts of personal and business data, raising apprehensions about potential breaches and unauthorized access. Striking a delicate balance between extracting meaningful insights and safeguarding individual privacy becomes crucial. Organizations must invest in robust security measures and transparent practices to allay these concerns and build trust among stakeholders.

Covid-19 Impact:

The increased complexity and uncertainty brought about by the pandemic amplified the demand for advanced analytics and predictive capabilities offered by Decision Intelligence. Organizations sought to optimize their operations, supply chains, and strategic planning in response to rapidly changing circumstances. However, economic uncertainties led some businesses to reevaluate budgets and prioritize immediate needs over long-term technology investments. However, the pandemic also highlighted the importance of ethical considerations and transparency in decision-making algorithms.

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

Due to the escalating demand for advanced tools and technologies that facilitate data-driven decision-making, Solutions segment is expected to hold the largest share during the forecast period. Organizations across diverse sectors are actively seeking comprehensive Decision Intelligence Solutions to navigate the increasing complexity of business landscapes. These solutions encompass a spectrum of capabilities, including predictive analytics, machine learning algorithms, and data visualization tools, empowering decision-makers with actionable insights.

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

Cloud segment is expected to have the highest CAGR during the forecast period as it offers scalable and flexible infrastructure for deploying advanced analytics and decision support solutions. Cloud-based Decision Intelligence platforms provide organizations with the agility to access and process large volumes of data in real-time, enabling faster decision-making. The scalability of cloud services allows businesses to expand or contract their computing resources based on demand, optimizing costs. Moreover, cloud solutions facilitate collaboration and accessibility, allowing decision-makers to access insights from anywhere, fostering a more distributed and agile decision-making process.

Region with largest share:

Due to the region's advanced technological infrastructure, coupled with a high level of digitalization across industries, creates a fertile ground for the adoption of sophisticated decision intelligence solutions, North American region is expected to hold the largest share of the market over the extrapolated period. North American enterprises, particularly in sectors like finance, healthcare, and technology, are increasingly recognizing the imperative of data-driven decision-making to gain a competitive edge. Additionally, the well-established presence of key market players and a conducive business environment for innovation contribute to the region's dominance in shaping the Decision Intelligence Market.

Region with highest CAGR:

Europe region is growing at a rapid pace over the projection period. The stringent regulatory landscape, exemplified by frameworks like the General Data Protection Regulation (GDPR), compels businesses to adopt advanced decision intelligence solutions for compliant and ethical handling of data. The regulatory emphasis on data privacy and security acts as a catalyst, prompting organizations to invest in sophisticated decision support systems that ensure adherence to these standards. Furthermore, as European governments continue to strengthen data protection regulations, businesses are compelled to integrate decision intelligence tools that not only enhance operational efficiency but also demonstrate transparency and accountability in decision-making processes.

Key players in the market

Some of the key players in Decision Intelligence market include International Business Machines Incorporation, Oracle, Intel Corporation, Pyramid Analytics Bv, Google LLC, Pace Revenue, Microsoft, Provenir, Diwo.ai, Metaphacts GmbH and Paretos.

Key Developments:

In June 2022, IBM acquired Databand.ai. Through the acquisition, Databand.ai will be able to increase the scope of its observability capabilities enabling deeper connections with more open source and for-profit products that drive the modern data stack, with the additional resources made available by this purchase. Additionally, businesses will have complete control over how Databand.ai is used, whether as a software-as-a-service (SaaS) or a selfhosted subscription.

In April 2022, Sopra Steria and IBM launched the Sopra Steria Alive Intelligence (SSAI) offering. The IBM Watson Assistant, a customizable virtual agent for all fields, powers the Sopra Steria Alive Intelligence (SSAI) solution. This data is utilized to enhance decisionmaking and create new services that are tailored to the needs of consumers and users.

In March 2022, Provenir with Francisco Franch declared to assist the rising number of financial services businesses looking for AI-powered risk decisioning tools. Franch will oversee managing Spain's sales operations, company growth, and marketing plans.

Components Covered:

  • Services
  • Solutions
  • Platform

Deployment Modes Covered:

  • Cloud
  • On-premise
  • Other Deployment Modes

Enterprise Sizes Covered:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprise

Applications Covered:

  • Demand Forecasting
  • Logistics Optimization
  • Discovering Cause
  • Other Applications

End Users Covered:

  • IT and Telecom
  • Energy and Utilities
  • Healthcare
  • Government
  • Retail and Consumer Goods
  • 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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Decision Intelligence Market, By Component

  • 5.1 Introduction
  • 5.2 Services
  • 5.3 Solutions
  • 5.4 Platform

6 Global Decision Intelligence Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premise
  • 6.4 Other Deployment Modes

7 Global Decision Intelligence Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small and Medium-sized Enterprises (SMEs)
  • 7.3 Large Enterprise

8 Global Decision Intelligence Market, By Application

  • 8.1 Introduction
  • 8.2 Demand Forecasting
  • 8.3 Logistics Optimization
  • 8.4 Discovering Cause
  • 8.5 Other Applications

9 Global Decision Intelligence Market, By End User

  • 9.1 Introduction
  • 9.2 IT and Telecom
  • 9.3 Energy and Utilities
  • 9.4 Healthcare
  • 9.5 Government
  • 9.6 Retail and Consumer Goods
  • 9.7 Other End Users

10 Global Decision Intelligence 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 International Business Machines Incorporation
  • 12.2 Oracle
  • 12.3 Intel Corporation
  • 12.4 Pyramid Analytics Bv
  • 12.5 Google LLC
  • 12.6 Pace Revenue
  • 12.7 Microsoft
  • 12.8 Provenir
  • 12.9 Diwo.ai
  • 12.10 Metaphacts GmbH
  • 12.11 Paretos