予測警察市場：テクノロジー別、エンドユース別-2025-2030年の世界予測

予測警察市場の2023年の市場規模は51億7,000万米ドルで、2024年には59億6,000万米ドルに達すると予測され、2030年には148億2,000万米ドルへとCAGR 16.23%で成長すると予測されています。

予測警察とは、潜在的な犯罪活動を予測し、法執行リソースを最適化するためのデータ分析技術の使用を指します。この概念は、将来の犯罪を示す可能性のあるパターンを特定するために、ビッグデータ、統計アルゴリズム、機械学習に大きく依存しています。予測警察の必要性は、限られた警察資源を効率的に管理しながら、公共の安全を強化するという永続的な目標から生じる。その用途は、ホットスポットの検出や配備の最適化を通じた犯罪防止から、リソースの割り当てや積極的なコミュニティへの関与にまで及びます。最終的な使用範囲は、主に自治体、州、連邦レベルの法執行機関であり、民間の警備会社にも及ぶことがあります。

市場の洞察から、成長に影響を与えるいくつかの重要な要因が明らかになった。データ分析ツールの急速な進歩、スマートシティ構想への注目の高まり、監視システムや市民通報アプリからのデジタルデータ量の増加が採用に拍車をかけています。さらに、公共の安全を強化するための政府の取り組みも、市場拡大の機会を下支えしています。しかし、同市場は、プライバシーに関する懸念、アルゴリズム予測における潜在的な偏り、市民の自由をめぐる倫理的問題などの制約に直面しています。また、データの完全性、異種システム間の相互運用性、高度な予測警察システムの導入とメンテナンスにかかる膨大なコストなど、課題も多いです。

より透明で偏りのないアルゴリズムの開発、既存のCMSやRMSシステムとの統合機能の強化、スケーラブルなソリューションのためのクラウド技術の活用などに、潜在的な可能性があります。責任あるAIへの注目と倫理的なAIの実践の推進は、ビジネス成長の道筋を提供する革新と研究の分野になり得る。技術革新と社会的受容をバランスよく重視することで、市場の性質は進化しています。利害関係者への調査推奨事項としては、一般市民との透明性のあるコミュニケーションを優先すること、偏見緩和研究に投資すること、倫理的監督機関と協力することなどが挙げられ、予測警察が個人の権利を損なうことなく安全と正義を強化するツールであり続けることを保証します。

市場力学：急速に進化する予測警察市場の主要な市場インサイトを公開

予測警察市場は、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。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 増加する犯罪率に対抗するための効果的な戦略の必要性の高まり
  • 顔認識による警察監視の大幅な普及
• 市場抑制要因
  • 予測警察ツールを扱う熟練労働力の不足
• 市場機会
  • 政府や規制当局による予測警察への資金提供の可能性
  • 予測警察のソフトウェアとサポート機器の新たな進歩
• 市場課題
  • 予測警察ツールに関連する潜在的なエラーとセキュリティ問題

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

市場シェア分析予測警察市場における競合情勢の把握

予測警察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・マトリックス予測警察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、予測警察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つの象限はベンダーを明確かつ正確に区分し、ユーザーが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のに役立ちます。

本レポートは、主要な注目分野を網羅した包括的な市場分析を提供しています：

1.市場の浸透度：業界主要企業の広範なデータを含む、現在の市場環境の詳細なレビュー。

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
    • 犯罪率の上昇に対抗するための効果的な戦略の必要性が高まっている
    • 顔認識による警察監視の大幅な導入
  • 抑制要因
    • 予測警察ツールを扱う熟練労働力の不足
  • 機会
    • 予測警察に対する政府および規制当局による資金提供の有無
    • 予測警察のソフトウェアとサポート機器の新たな進歩
  • 課題
    • 予測警察ツールに関連する潜在的なエラーとセキュリティの問題
• 市場セグメンテーション分析
  • テクノロジー：犯罪率の高い管轄区域や、データ主導のアプローチによって警察活動を大幅に強化できる地域では、犯罪分析が好まれます。
  • 最終用途：探偵事務所は予測ツールの慎重さと特定性を重視しており、個人のプライバシー権を侵害することなく、プライベートデータベースと公的記録を統合できるソフトウェアを望んでいます。
• 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
• 顧客のカスタマイズ

第6章 予測警察市場：技術別

• 犯罪分析
• 顔認識技術
• 地理位置情報技術
• 国際モバイル加入者IDキャッチャー

第7章 予測警察市場：最終用途別

• 探偵事務所
• 法執行機関
• 軍事・防衛
• 警察署

第8章 南北アメリカの予測警察市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第9章 アジア太平洋地域の予測警察市場

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

第10章 欧州・中東・アフリカの予測警察市場

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

第11章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
  • SAP、計画からパーソナライゼーションまで顧客体験を強化する新しいAI主導の小売機能を発表
  • アクセンチュアがNextiraを買収、人工知能と機械学習のエンジニアリング能力を拡大
  • NTTデータ、組織が大胆なデジタル体験を提供できるよう支援する新サービスを発表

企業一覧

• PredPol, Inc.
• International Business Machines Corporation
• Google LLC by Alphabet Inc.
• QlikTech International AB
• Esri
• Happiest Minds
• Oracle Corporation
• VIVID EDGE CORP.
• Palantir Technologies Inc.
• NTT DATA Corporation
• Hewlett Packard Enterprise Company
• Dataiku
• Voyager Labs
• Altair Engineering Inc.
• Microsoft Corporation
• Fair Isaac Corporation
• Alteryx, Inc.
• KNIME AG
• Amazon Web Services, Inc.
• Hitachi Vantara LLC
• SAP SE
• Cloudera, Inc.
• Salesforce, Inc.
• SAS Institute Inc.
• TIBCO Software Inc.
• Motorola Solutions, Inc.

LIST OF FIGURES

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

LIST OF TABLES

• TABLE 1. PREDICTIVE POLICING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL PREDICTIVE POLICING MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. PREDICTIVE POLICING MARKET DYNAMICS
• TABLE 7. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY CRIME ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY FACIAL RECOGNITION TECHNOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY GEO-LOCATION TECHNOLOGY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY INTERNATIONAL MOBILE SUBSCRIBER IDENTITY-CATCHER, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY DETECTIVE AGENCIES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY LAW ENFORCEMENT ORGANIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY MILITARY & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY POLICE DEPARTMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 18. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 19. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 20. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 21. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 22. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 23. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 24. CANADA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 25. CANADA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 26. MEXICO PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 27. MEXICO PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 28. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 29. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 30. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 31. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 32. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 33. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 34. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 35. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 36. CHINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 37. CHINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 38. INDIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 39. INDIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 40. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 41. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 42. JAPAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 43. JAPAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 44. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 45. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 46. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 47. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 48. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 49. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 50. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 51. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 52. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 53. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 54. THAILAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 55. THAILAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 56. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 57. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 58. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 59. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 60. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 61. DENMARK PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 62. DENMARK PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 63. EGYPT PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 64. EGYPT PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 65. FINLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 66. FINLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 67. FRANCE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 68. FRANCE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 69. GERMANY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 70. GERMANY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 71. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 72. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 73. ITALY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 74. ITALY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 75. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 76. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 77. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 78. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 79. NORWAY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 80. NORWAY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 81. POLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 82. POLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 83. QATAR PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 84. QATAR PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 85. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 86. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 87. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 88. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 89. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 91. SPAIN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 92. SPAIN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 93. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 94. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 95. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 96. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 97. TURKEY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 98. TURKEY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 99. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 100. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 101. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 102. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
• TABLE 103. PREDICTIVE POLICING MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 104. PREDICTIVE POLICING MARKET, FPNV POSITIONING MATRIX, 2023

The Predictive Policing Market was valued at USD 5.17 billion in 2023, expected to reach USD 5.96 billion in 2024, and is projected to grow at a CAGR of 16.23%, to USD 14.82 billion by 2030.

Predictive policing refers to the use of data analysis techniques to forecast potential criminal activities and optimize law enforcement resources. This concept relies heavily on big data, statistical algorithms, and machine learning to identify patterns that might indicate future crimes. The need for predictive policing arises from the perpetual goal of enhancing public safety while efficiently managing limited policing resources. Its applications span from crime prevention through hotspot detection and deployment optimization to resource allocation and proactive community engagement. The end-use scope is primarily within law enforcement agencies at the municipal, state, and federal levels and can also extend to private security firms.

Market insights reveal several key factors influencing growth. The rapid advancements in data analytics tools, an increasing focus on smart city initiatives, and a rising volume of digital data from surveillance systems and citizen reporting apps are spurring adoption. Additionally, governmental initiatives to bolster public safety underpin market expansion opportunities. However, the market faces limitations such as concerns over privacy, potential biases in algorithmic predictions, and ethical issues surrounding civil liberties. The challenging aspects also include data integrity, interoperability across disparate systems, and the immense cost of implementation and maintenance of sophisticated predictive policing systems.

Potential opportunities lie in developing more transparent and unbiased algorithms, enhancing integration capabilities with existing CMS and RMS systems, and leveraging cloud technologies for scalable solutions. The focus on responsible AI and the drive for ethical AI practices can be areas of innovation and research that offer paths for business growth. The market's nature is evolving through a balanced emphasis on technological innovation and societal acceptance. Recommendations for stakeholders include prioritizing transparent communication with the public, investing in bias-mitigation research, and collaborating with ethical oversight entities, ensuring that predictive policing remains a tool for enhancing safety and justice without compromising individual rights.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Predictive Policing Market

The Predictive Policing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing Need for Effective Strategies to Combat Rising Number of Crime Rates
  • Significant Adoption of Police Surveillance with Facial Recognition
• Market Restraints
  • Lack of Skilled Workforce to Handle Predictive Policing Tools
• Market Opportunities
  • Availability of Fundings by Government and Regulatory Authorities for Predictive Policing
  • New Advancements in Software and Supportive Equipment of Predictive Policing
• Market Challenges
  • Potential Errors and Security Issues Associated with Predictive Policing Tools

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

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

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

A detailed market share analysis in the Predictive Policing 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 Predictive Policing Market

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

Key Company Profiles

The report delves into recent significant developments in the Predictive Policing Market, highlighting leading vendors and their innovative profiles. These include PredPol, Inc., International Business Machines Corporation, Google LLC by Alphabet Inc., QlikTech International AB, Esri, Happiest Minds, Oracle Corporation, VIVID EDGE CORP., Palantir Technologies Inc., NTT DATA Corporation, Hewlett Packard Enterprise Company, Dataiku, Voyager Labs, Altair Engineering Inc., Microsoft Corporation, Fair Isaac Corporation, Alteryx, Inc., KNIME AG, Amazon Web Services, Inc., Hitachi Vantara LLC, SAP SE, Cloudera, Inc., Salesforce, Inc., SAS Institute Inc., TIBCO Software Inc., and Motorola Solutions, Inc..

Market Segmentation & Coverage

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

• Based on Technology, market is studied across Crime Analysis, Facial Recognition Technology, Geo-Location Technology, and International Mobile Subscriber Identity-Catcher.
• Based on End-Use, market is studied across Detective Agencies, Law Enforcement Organization, Military & Defense, and Police Department.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing Need for Effective Strategies to Combat Rising Number of Crime Rates
    • 5.1.1.2. Significant Adoption of Police Surveillance with Facial Recognition
  • 5.1.2. Restraints
    • 5.1.2.1. Lack of Skilled Workforce to Handle Predictive Policing Tools
  • 5.1.3. Opportunities
    • 5.1.3.1. Availability of Fundings by Government and Regulatory Authorities for Predictive Policing
    • 5.1.3.2. New Advancements in Software and Supportive Equipment of Predictive Policing
  • 5.1.4. Challenges
    • 5.1.4.1. Potential Errors and Security Issues Associated with Predictive Policing Tools
• 5.2. Market Segmentation Analysis
  • 5.2.1. Technology: Crime analysis is preferred in jurisdictions with higher crime rates and areas where data-driven approaches can significantly enhance policing efforts
  • 5.2.2. End-use: Detective agencies prioritize discretion and specificity in their predictive tools, desiring software that can integrate private databases with public records without infringing on individual privacy rights
• 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
• 5.5. Client Customization

6. Predictive Policing Market, by Technology

• 6.1. Introduction
• 6.2. Crime Analysis
• 6.3. Facial Recognition Technology
• 6.4. Geo-Location Technology
• 6.5. International Mobile Subscriber Identity-Catcher

7. Predictive Policing Market, by End-Use

• 7.1. Introduction
• 7.2. Detective Agencies
• 7.3. Law Enforcement Organization
• 7.4. Military & Defense
• 7.5. Police Department

8. Americas Predictive Policing Market

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

9. Asia-Pacific Predictive Policing Market

• 9.1. Introduction
• 9.2. Australia
• 9.3. China
• 9.4. India
• 9.5. Indonesia
• 9.6. Japan
• 9.7. Malaysia
• 9.8. Philippines
• 9.9. Singapore
• 9.10. South Korea
• 9.11. Taiwan
• 9.12. Thailand
• 9.13. Vietnam

10. Europe, Middle East & Africa Predictive Policing Market

• 10.1. Introduction
• 10.2. Denmark
• 10.3. Egypt
• 10.4. Finland
• 10.5. France
• 10.6. Germany
• 10.7. Israel
• 10.8. Italy
• 10.9. Netherlands
• 10.10. Nigeria
• 10.11. Norway
• 10.12. Poland
• 10.13. Qatar
• 10.14. Russia
• 10.15. Saudi Arabia
• 10.16. South Africa
• 10.17. Spain
• 10.18. Sweden
• 10.19. Switzerland
• 10.20. Turkey
• 10.21. United Arab Emirates
• 10.22. United Kingdom

11. Competitive Landscape

• 11.1. Market Share Analysis, 2023
• 11.2. FPNV Positioning Matrix, 2023
• 11.3. Competitive Scenario Analysis
  • 11.3.1. SAP Announces New AI-Driven Retail Capabilities to Enhance Customer Experience - From Planning to Personalization
  • 11.3.2. Accenture Acquires Nextira, Expanding Engineering Capabilities in Artificial Intelligence and Machine Learning
  • 11.3.3. NTT DATA Unveils Launch by NTT DATA to Help Organizations Deliver Bold Digital Experiences

Companies Mentioned

• 1. PredPol, Inc.
• 2. International Business Machines Corporation
• 3. Google LLC by Alphabet Inc.
• 4. QlikTech International AB
• 5. Esri
• 6. Happiest Minds
• 7. Oracle Corporation
• 8. VIVID EDGE CORP.
• 9. Palantir Technologies Inc.
• 10. NTT DATA Corporation
• 11. Hewlett Packard Enterprise Company
• 12. Dataiku
• 13. Voyager Labs
• 14. Altair Engineering Inc.
• 15. Microsoft Corporation
• 16. Fair Isaac Corporation
• 17. Alteryx, Inc.
• 18. KNIME AG
• 19. Amazon Web Services, Inc.
• 20. Hitachi Vantara LLC
• 21. SAP SE
• 22. Cloudera, Inc.
• 23. Salesforce, Inc.
• 24. SAS Institute Inc.
• 25. TIBCO Software Inc.
• 26. Motorola Solutions, Inc.