予測警察市場：テクノロジー別、エンドユース別-2024-2030年の世界予測

予測警察市場規模は、2023年に51億7,000万米ドルと推定され、2024年には59億6,000万米ドルに達し、CAGR 16.23％で2030年には148億2,000万米ドルに達すると予測されています。

予測警察ツールは、主に法執行機関が公共の安全を強化し、リソースを最適化するために適用されます。犯罪の可能性が高い地域を効果的にターゲットとするため、戦略的計画、パトロール派遣、資源配分に使用されます。予測警察ソリューションのエンドユーザーには、自治体警察、州および連邦レベルの法執行機関、犯罪防止に重点を置く民間警備会社などが含まれます。人工知能とデータ分析の進歩は、予測警察システムの精度と有効性を高め続けています。公的記録、ソーシャルメディア、IoTデバイスを通じて入手可能なデータの急激な増加は、洗練された犯罪予測アルゴリズムの開発を後押ししています。この変化は、安全性の向上に対する社会的要求の高まりや、政府が支援するスマートシティ・イニシアチブと一致し、予測技術の採用を後押ししています。さらに、予測警察市場は、新興市場がこれらのソリューションを採用し始め、官民の協力がイノベーションの道を開くなど、機が熟しています。既存のスマートシティ・インフラとの統合も、安全性と都市管理の新たな地平を約束します。とはいえ、この分野の成長に課題がないわけではないです。プライバシーをめぐる懸念、アルゴリズミック・バイアスの可能性、導入にかかる多大なコスト、標準化されたポリシーの欠如などが、事業拡大の努力を鈍らせる可能性があります。ビジネスの成長に舵を切るため、業界は、説明責任を促進するためのアルゴリズムによる透明性の向上、監視の懸念に対処するためのプライバシー保護技術の開発、包括的なデータ統合のための相互運用性の向上、広報活動を強化し予測モデルを改良するためのコミュニティ参加型プラットフォームの開発に注力しています。

テクノロジー犯罪分析が好まれるのは、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取り締まり努力が大幅に強化される地域です。

犯罪分析は予測警察に不可欠な要素であり、犯罪パターンを特定・予測するための体系的かつ高度な分析を伴う。このプロセスには通常、警察の事件報告書、出動要請、その他の犯罪情報など、さまざまな情報源からデータを収集し、精査することが含まれます。犯罪分析は、犯罪のホットスポットや動向を予測することにより、法執行機関がより効果的かつ効率的な方法でリソースを配置するのに役立ちます。犯罪分析のためのツールには、データマイニング、空間分析、パターン認識のために設計されたさまざまなソフトウェア・ソリューションがあります。顔認識技術（FRT）は予測警察の強力なツールとなっており、法執行機関は画像やビデオ映像から個人を迅速に特定できます。機械学習と人工知能により、顔認識システムは既知の顔のデータベースと人物の顔の特徴を照合することができます。このテクノロジーは、特にイベントや空港など、容疑者となりうる人物を素早く特定することが重要な公共安全やセキュリティの分野で活用されています。Geo-Locationテクノロジーは、予測警察において、犯罪事件のマッピングや将来の犯罪発生場所の予測に使用されています。地理的データとパターンを分析することで、警察はより効果的なパトロール計画を立てることができます。GPS追跡、地理情報システム（GIS）、位置情報サービスは、この技術分野の一部です。IMSIキャッチャーは「スティングレイ」とも呼ばれ、携帯電話の通信を傍受するために携帯電話タワーをシミュレートする監視ツールです。これには、携帯電話ネットワークの加入者を特定するために使用されるIMSI番号のキャプチャも含まれます。法執行機関はこの技術を使用して、携帯端末の位置を追跡し、通話やメッセージを傍受し、捜査情報を収集します。

最終用途刑事機関は、予測ツールの慎重さと具体性を優先し、個人のプライバシー権を侵害することなく、個人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。

探偵業者は通常、捜査能力を強化するために予測警察を利用します。これらの機関は、様々な犯罪に関連するパターンや相関関係を特定するために予測分析を活用し、事件の準備、解決、潜在的な事件の予防に役立てています。AIで強化された高度な分析ソフトウェアは、これらの捜査機関にとって、発見が困難な犯罪動向の解明で優位に立つために高い関心を集めています。顔認識技術（FRT）は予測警察にとって強力なツールとなり、法執行機関は画像やビデオ映像から個人を迅速に特定できるようになった。機械学習と人工知能により、顔認識システムは既知の顔のデータベースと人物の顔の特徴を照合することができます。この技術は、特にイベントや空港など、容疑者となりうる人物を素早く特定することが重要な公共安全やセキュリティの分野で顕著に使用されています。FRTは、大勢の群衆から素早く個人を特定したり、広範なデータベースから容疑者の一致を見つける必要があるシナリオで最も望ましいです。軍事・防衛分野では、脅威の評価と戦略立案に予測警察を使用します。国家安全保障に重点を置き、テロや大規模な組織犯罪を含む複雑なシナリオに対応しています。警察は、予測警察ツールを犯罪予防の効率を高め、地域の安全を促進するために活用しています。一般的には、犯罪発生の地理的マッピング、犯罪パターンの予測分析、コミュニティからの通報やデータセットの統合に重点を置いています。

地域別の洞察

米国では、PredPolやShotSpotterのようなツールの高度な導入が進んでおり、特にシリコンバレーのようなハイテク中心地域では、多額の投資と技術革新に支えられています。一方、カナダの慎重なスタンスは、厳格なプライバシー基準に沿ったテクノロジーを好んでおり、憲法上の指令を遵守した慎重な統合プロセスを反映しています。欧州連合（EU）では、GDPRの義務に従ってプライバシーの保護に重点を置き、国民の信頼を維持する技術開発に投資しています。対照的に、中東では政府主導のイニシアチブを通じたセキュリティ強化に傾倒しており、予測警察テクノロジーを統合するための実質的なスマートシティプロジェクトを活用しています。アフリカでは、インフラやプライバシーの障壁があるにもかかわらず、外部からの支援がこの移行を後押ししており、テクノロジーを活用した法執行に対する受容性が高まっています。アジア太平洋地域は多様なアプローチを示している：中国は国家主導で公共安全保障を推進し、AIを活用した法執行イノベーションでリーダーシップを発揮しています。日本は技術的進歩とプライバシー保護の間のコンセンサスを模索し、インドは人口密集地で犯罪と闘うためのスケーラブルで費用対効果の高い手段に焦点を当てています。このような世界の動向は、予測警察能力を強化する傾向を反映しているが、地域の文化、法律、社会の動向は、各市場の消費者ニーズや購買行動を明確に形成し続けています。

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは予測警察市場の評価において極めて重要です。事業戦略と製品満足度に関連する主要指標を調査し、ベンダーの包括的な評価を提供します。この綿密な分析により、ユーザーは各自の要件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。評価に基づき、ベンダーは成功の度合いが異なる4つの象限に分類されます：フォアフロント（F）、パスファインダー（P）、ニッチ（N）、バイタル（V）です。

市場シェア分析

市場シェア分析は、予測警察市場におけるベンダーの現状について、洞察に満ちた詳細な調査を提供する包括的なツールです。全体的な収益、顧客基盤、その他の主要指標についてベンダーの貢献度を綿密に比較・分析することで、企業の業績や市場シェア争いの際に直面する課題について理解を深めることができます。さらに、この分析により、調査対象基準年に観察された累積、断片化の優位性、合併の特徴などの要因を含む、この分野の競合特性に関する貴重な考察が得られます。このような詳細レベルの拡大により、ベンダーはより多くの情報に基づいた意思決定を行い、市場で競争優位に立つための効果的な戦略を考案することができます。

本レポートは、以下の側面に関する貴重な洞察を提供しています：

1.市場の浸透度：主要企業が提供する市場に関する包括的な情報を提示しています。

2.市場の開拓度：有利な新興市場を深く掘り下げ、成熟市場セグメントにおける浸透度を分析しています。

3.市場の多様化：新製品の発売、未開拓の地域、最近の開発、投資に関する詳細な情報を提供します。

4.競合の評価と情報：市場シェア、戦略、製品、認証、規制状況、特許状況、主要企業の製造能力について徹底的な評価を行います。

5.製品開発およびイノベーション：将来の技術、研究開発活動、画期的な製品開発に関する知的洞察を提供します。

本レポートは、以下のような主要な質問に対応しています：

1.予測警察市場の市場規模および予測は？

2.予測警察市場の予測期間中に投資を検討すべき製品、セグメント、用途、分野は何か？

3.予測警察市場の技術動向と規制枠組みは？

4.予測警察市場における主要ベンダーの市場シェアは？

5.予測警察市場への参入に適した形態や戦略的手段は？

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。
• 市場動向分析
• ロシア・ウクライナ紛争の累積的影響
• 高インフレの累積的影響
• ポーターのファイブフォース分析
• バリューチェーンとクリティカルパス分析
• 規制枠組みの分析
• 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

第12章 競合ポートフォリオ

• 主要企業プロファイル
• 主要製品ポートフォリオ

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 2030 (%)
• FIGURE 5. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. PREDICTIVE POLICING MARKET DYNAMICS
• FIGURE 7. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 8. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 9. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2023 VS 2030 (%)
• FIGURE 10. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 11. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 12. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 13. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 14. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 15. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 16. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 17. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 19. PREDICTIVE POLICING MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 20. 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, 2018-2023 (USD MILLION)
• TABLE 4. GLOBAL PREDICTIVE POLICING MARKET SIZE, 2024-2030 (USD MILLION)
• TABLE 5. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 6. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 7. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 8. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 9. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY CRIME ANALYSIS, BY REGION, 2018-2023 (USD MILLION)
• TABLE 10. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY CRIME ANALYSIS, BY REGION, 2024-2030 (USD MILLION)
• TABLE 11. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY FACIAL RECOGNITION TECHNOLOGY, BY REGION, 2018-2023 (USD MILLION)
• TABLE 12. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY FACIAL RECOGNITION TECHNOLOGY, BY REGION, 2024-2030 (USD MILLION)
• TABLE 13. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY GEO-LOCATION TECHNOLOGY, BY REGION, 2018-2023 (USD MILLION)
• TABLE 14. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY GEO-LOCATION TECHNOLOGY, BY REGION, 2024-2030 (USD MILLION)
• TABLE 15. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY INTERNATIONAL MOBILE SUBSCRIBER IDENTITY-CATCHER, BY REGION, 2018-2023 (USD MILLION)
• TABLE 16. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY INTERNATIONAL MOBILE SUBSCRIBER IDENTITY-CATCHER, BY REGION, 2024-2030 (USD MILLION)
• TABLE 17. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 18. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 19. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY DETECTIVE AGENCIES, BY REGION, 2018-2023 (USD MILLION)
• TABLE 20. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY DETECTIVE AGENCIES, BY REGION, 2024-2030 (USD MILLION)
• TABLE 21. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY LAW ENFORCEMENT ORGANIZATION, BY REGION, 2018-2023 (USD MILLION)
• TABLE 22. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY LAW ENFORCEMENT ORGANIZATION, BY REGION, 2024-2030 (USD MILLION)
• TABLE 23. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY MILITARY & DEFENSE, BY REGION, 2018-2023 (USD MILLION)
• TABLE 24. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY MILITARY & DEFENSE, BY REGION, 2024-2030 (USD MILLION)
• TABLE 25. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY POLICE DEPARTMENT, BY REGION, 2018-2023 (USD MILLION)
• TABLE 26. GLOBAL PREDICTIVE POLICING MARKET SIZE, BY POLICE DEPARTMENT, BY REGION, 2024-2030 (USD MILLION)
• TABLE 27. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 28. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 29. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 30. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 31. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 32. AMERICAS PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 33. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 34. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 35. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 36. ARGENTINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 37. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 38. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 39. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 40. BRAZIL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 41. CANADA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 42. CANADA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 43. CANADA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 44. CANADA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 45. MEXICO PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 46. MEXICO PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 47. MEXICO PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 48. MEXICO PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 49. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 50. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 51. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 52. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 53. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY STATE, 2018-2023 (USD MILLION)
• TABLE 54. UNITED STATES PREDICTIVE POLICING MARKET SIZE, BY STATE, 2024-2030 (USD MILLION)
• TABLE 55. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 56. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 57. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 58. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 59. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 60. ASIA-PACIFIC PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 61. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 62. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 63. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 64. AUSTRALIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 65. CHINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 66. CHINA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 67. CHINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 68. CHINA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 69. INDIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 70. INDIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 71. INDIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 72. INDIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 73. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 74. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 75. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 76. INDONESIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 77. JAPAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 78. JAPAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 79. JAPAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 80. JAPAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 81. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 82. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 83. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 84. MALAYSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 85. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 86. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 87. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 88. PHILIPPINES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 89. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 90. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 91. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 92. SINGAPORE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 93. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 94. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 95. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 96. SOUTH KOREA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 97. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 98. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 99. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 100. TAIWAN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 101. THAILAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 102. THAILAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 103. THAILAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 104. THAILAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 105. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 106. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 107. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 108. VIETNAM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 109. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 110. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 111. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 112. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 113. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2018-2023 (USD MILLION)
• TABLE 114. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE POLICING MARKET SIZE, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 115. DENMARK PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 116. DENMARK PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 117. DENMARK PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 118. DENMARK PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 119. EGYPT PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 120. EGYPT PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 121. EGYPT PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 122. EGYPT PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 123. FINLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 124. FINLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 125. FINLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 126. FINLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 127. FRANCE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 128. FRANCE PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 129. FRANCE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 130. FRANCE PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 131. GERMANY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 132. GERMANY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 133. GERMANY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 134. GERMANY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 135. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 136. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 137. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 138. ISRAEL PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 139. ITALY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 140. ITALY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 141. ITALY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 142. ITALY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 143. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 144. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 145. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 146. NETHERLANDS PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 147. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 148. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 149. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 150. NIGERIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 151. NORWAY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 152. NORWAY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 153. NORWAY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 154. NORWAY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 155. POLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 156. POLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 157. POLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 158. POLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 159. QATAR PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 160. QATAR PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 161. QATAR PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 162. QATAR PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 163. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 164. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 165. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 166. RUSSIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 167. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 168. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 169. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 170. SAUDI ARABIA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 171. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 172. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 173. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 174. SOUTH AFRICA PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 175. SPAIN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 176. SPAIN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 177. SPAIN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 178. SPAIN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 179. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 180. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 181. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 182. SWEDEN PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 183. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 184. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 185. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 186. SWITZERLAND PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 187. TURKEY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 188. TURKEY PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 189. TURKEY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 190. TURKEY PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 191. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 192. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 193. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 194. UNITED ARAB EMIRATES PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 195. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD MILLION)
• TABLE 196. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD MILLION)
• TABLE 197. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2018-2023 (USD MILLION)
• TABLE 198. UNITED KINGDOM PREDICTIVE POLICING MARKET SIZE, BY END-USE, 2024-2030 (USD MILLION)
• TABLE 199. PREDICTIVE POLICING MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 200. PREDICTIVE POLICING MARKET, FPNV POSITIONING MATRIX, 2023

[181 Pages Report] The Predictive Policing Market size was estimated at USD 5.17 billion in 2023 and expected to reach USD 5.96 billion in 2024, at a CAGR 16.23% to reach USD 14.82 billion by 2030.

Predictive policing tools are mainly applied by law enforcement agencies to enhance public safety and optimize their resources. They are used in strategic planning, patrol dispatching, and resource allocation to effectively target areas of high crime probability. End-users of predictive policing solutions include municipal police departments, law enforcement agencies at state and federal levels, and private security firms focused on crime prevention. Advancements in artificial intelligence and data analytics continue to propel the precision and efficacy of predictive policing systems. The exponential growth in data available through public records, social media, and IoT devices empowers the development of sophisticated crime prediction algorithms. This shift aligns with the rising public demand for enhanced safety as well as government-backed smart city initiatives, bolstering the adoption of predictive technologies. Moreover, the predictive policing market is ripe with opportunities as emerging markets begin to embrace these solutions, and public-private collaborations offer avenues for innovation. Integration with existing smart city infrastructures also promises a new horizon for safety and city management. Nonetheless, growth in this sector is not without its challenges; concerns surrounding privacy, the potential for algorithmic bias, the significant costs of implementation, and a lack of standardized policies can dampen expansion efforts. To steer business growth, the industry is focusing on advancements in algorithmic transparency to foster accountability, the creation of privacy-preserving technologies to address surveillance concerns, increased interoperability for comprehensive data integration, and the development of community engagement platforms to enhance public relations and refine predictive models.

Technology: Crime analysis is preferred in jurisdictions with higher crime rates and areas where data-driven approaches can significantly enhance policing efforts

Crime analysis is an integral component of predictive policing, which involves systematic and advanced analytics to identify and predict crime patterns. This process typically includes collecting and scrutinizing data from various sources, such as police incident reports, calls for service, and other criminal intelligence information. Crime analysis helps law enforcement agencies deploy resources in a more effective and efficient manner, by forecasting crime hotspots and trends. Tools for crime analysis encompass a range of software solutions designed for data mining, spatial analysis, and pattern recognition. Facial recognition technology (FRT) has become a potent tool for predictive policing, allowing law enforcement agencies to identify individuals from images and video footage rapidly. With machine learning and artificial intelligence, facial recognition systems can match a person's facial features against a database of known faces. This technology is notably used in public safety and security, especially at events, airports, and other places where identifying potential suspects quickly is crucial. Geo-Location technology is used in predictive policing to map crime incidents and forecast where future crimes are likely to occur. By analyzing geographic data and patterns, police can plan their patrols more effectively. GPS tracking, Geographic Information Systems (GIS), and location-based services are part of this technology segment. The IMSI-Catcher, also known as a "stingray," is a surveillance tool that simulates cellular towers to intercept mobile phone communications. This includes capturing the IMSI numbers used to identify subscribers on the cellular network. Law enforcement uses this technology to track the location of mobile devices, intercept calls and messages, and gather intelligence in investigations.

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

Detective agencies typically utilize predictive policing to enhance their investigative capabilities. These agencies leverage predictive analytics to identify patterns and correlations related to various crimes, helping them prepare, solve cases, and prevent potential incidents. Advanced analytical software with AI-enhanced capabilities is of high interest to these agencies to give them an edge in uncovering hard-to-detect crime trends. Facial Recognition Technology (FRT) has become a potent tool for predictive policing, allowing law enforcement agencies to identify individuals from images and video footage rapidly. With machine learning and artificial intelligence, facial recognition systems can match a person's facial features against a database of known faces. This technology is notably used in public safety and security, especially at events, airports, and other places where identifying potential suspects quickly is crucial. FRT is most desirable in scenarios where there is a need to swiftly identify individuals from large crowds or to find matches for suspects across extensive databases. The military and defense sector uses predictive policing for threat assessment and strategic planning. The emphasis is on national security and handling complex scenarios that may involve terrorism or large-scale organized crime. Police departments harness predictive policing tools to increase the efficiency of crime prevention and to promote community safety. They typically focus on geo mapping crime occurrences, predictive analytics for crime patterns, and integrating community tip-offs and datasets.

Regional Insights

In the U.S., there is a sophisticated adoption of tools like PredPol and ShotSpotter, backed by significant investment and innovation, particularly in tech-centric regions namely Silicon Valley, demonstrating a trend driven by consumer readiness to embrace cutting-edge technologies. Meanwhile, Canada's prudent stance favors technology that aligns with rigid privacy standards, reflecting a measured integration process adherent to constitutional directives. Across the European Union, the focus is heavily placed on upholding privacy per GDPR mandates, with investments feeding into tech development that sustains public confidence. Contrastingly, the Middle East leans towards bolstered security through government-led initiatives, leveraging substantial smart city projects to integrate predictive policing technologies. In Africa, despite infrastructural and privacy barriers, there's increasing receptivity towards tech-enhanced law enforcement with external support bolstering this transition. The Asia Pacific region exhibits diverse approaches: China's state-driven impetus on public security propels their leadership in AI-driven law enforcement innovation; Japan seeks a consensus between technological advancement and privacy preservation; and India's focus is on scalable, cost-effective means to combat crime in densely populated locales. This global landscape reflects a trend towards bolstering predictive policing capabilities, yet local cultural, legal, and societal contours continue to distinctly shape each market's consumer needs and purchasing behaviors.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Predictive Policing Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Predictive Policing Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

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

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:

• Technology
  • Crime Analysis
  • Facial Recognition Technology
  • Geo-Location Technology
  • International Mobile Subscriber Identity-Catcher

• End-Use
  • Detective Agencies
  • Law Enforcement Organization
  • Military & Defense
  • Police Department

• Region
  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • China
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Philippines
    • Singapore
    • South Korea
    • Taiwan
    • Thailand
    • Vietnam

• Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Predictive Policing Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Predictive Policing Market?

3. What are the technology trends and regulatory frameworks in the Predictive Policing Market?

4. What is the market share of the leading vendors in the Predictive Policing Market?

5. Which modes and strategic moves are suitable for entering the Predictive Policing Market?

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. Market Trend Analysis
• 5.4. Cumulative Impact of Russia-Ukraine Conflict
• 5.5. Cumulative Impact of High Inflation
• 5.6. Porter's Five Forces Analysis
  • 5.6.1. Threat of New Entrants
  • 5.6.2. Threat of Substitutes
  • 5.6.3. Bargaining Power of Customers
  • 5.6.4. Bargaining Power of Suppliers
  • 5.6.5. Industry Rivalry
• 5.7. Value Chain & Critical Path Analysis
• 5.8. Regulatory Framework Analysis
• 5.9. 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

12. Competitive Portfolio

• 12.1. Key Company Profiles
• 12.2. Key Product Portfolio