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預測警察市場：按技術、最終用途分類 - 2025-2030 年全球預測

Predictive Policing Market by Technology (Crime Analysis, Facial Recognition Technology, Geo-Location Technology), End-Use (Detective Agencies, Law Enforcement Organization, Military & Defense) - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 186 Pages | 商品交期: 最快1-2個工作天內

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預測 2023年警用市場規模預計為51.7億美元，預計2024年將達到59.6億美元，預計2030年將成長至148.2億美元，複合年成長率為16.23%。

預測性警務是指利用資料分析技術來預測潛在的犯罪活動並最佳化執法資源。這個概念在很大程度上依賴巨量資料、統計演算法和機器學習來識別可能預示未來犯罪的模式。預測性警務的需求源自於增強公共同時有效管理有限警察資源的持久目標。應用範圍從預防犯罪到熱點檢測和部署最佳化，再到資源分配和主動社區參與。最終使用範圍主要是市、州和聯邦各級的執法機構，也可能擴展到私人保全公司。

主要市場統計
基準年[2023] 51.7億美元
預測年份 [2024] 59.6億美元
預測年份 [2030] 148.2億美元
複合年成長率（%） 16.23%

市場洞察揭示了影響成長的幾個關鍵因素。資料分析工具的快速進步、對智慧城市計劃的日益關注以及來自監控系統和公民報告應用程式的數位資料量的增加正在推動採用。此外，政府加強公共的措施也支持了市場擴張機會。然而，市場面臨著隱私問題、演算法預測的潛在偏差以及圍繞公民自由的道德問題等限制。還有許多挑戰，包括資料完整性、不同系統之間的互通性以及實施和維護先進預測警務系統的巨大成本。

潛力在於開發更透明和公正的演算法，提高與現有 CMS 和 RMS 系統的整合能力，以及利用雲端技術實現可擴展的解決方案。專注於負責任的人工智慧和促進道德人工智慧實踐可以成為一個創新和研究領域，為業務成長提供路徑。市場的本質正在不斷發展，平衡地關注創新和社會接受度。該研究向相關人員提出的建議包括優先考慮與公眾的透明溝通、投資反偏見研究以及與道德監督機構合作，確保預測性警務仍然是加強安全和正義而不損害人民權利的工具。

市場動態：揭示快速發展的預測警察市場的關鍵市場洞察

供需的動態交互作用正在改變預測性警察市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時也能幫助消費行為及其對製造業的影響。

  • 市場促進因素
    • 日益需要有效的策略來應對不斷上升的犯罪率
    • 警方使用臉部辨識進行監控的情況顯著蔓延
  • 市場限制因素
    • 缺乏使用預測性警務工具的熟練勞動力
  • 市場機會
    • 政府和監管機構對預測性警務的潛在資助
    • 預測警察軟體和支援設備的新進展
  • 市場問題
    • 與預測警務工具相關的潛在錯誤和安全問題

波特的五力：駕馭預測警察市場的策略工具

波特的五力架構是了解預測警察市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解預測性警察市場的外部影響

外部宏觀環境因素在塑造預測性警察市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析與預測 了解警用市場的競爭狀況

預測警察市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV定位矩陣預測警察市場供應商績效評估

FPNV 定位矩陣是評估預測警察市場供應商的關鍵工具。此矩陣允許業務組織根據商務策略和產品滿意度評估供應商，從而做出與其目標相符的明智決策。四個象限清楚且準確地分類供應商，幫助使用者辨識最能滿足其策略目標的合作夥伴和解決方案。

本報告提供了涵蓋關鍵重點領域的全面市場分析：

1. 市場滲透率：對當前市場環境的詳細回顧，包括行業主要企業的大量資料。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 越來越需要有效的策略來應對不斷上升的犯罪率
      • 重要介紹使用臉部辨識的警察監控
    • 抑制因素
      • 缺乏使用預測性警務工具的熟練勞動力
    • 機會
      • 政府和監管機構為預測性警務提供資金。
      • 預測警察軟體和支援設備的新進展
    • 任務
      • 與預測警務工具相關的潛在錯誤和安全問題
  • 市場區隔分析
    • 技術：犯罪分析在犯罪率高的司法管轄區和資料主導方法可以顯著增強警務的地區是首選。
    • 最終用途：偵探機構重視預測工具的謹慎性和特異性，並希望軟體能夠在不侵犯個人隱私權的情況下整合私人資料庫和公共記錄。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境
  • 客戶客製化

第6章 預測警察市場：依技術分類

  • 犯罪分析
  • 臉部辨識技術
  • 地理定位技術
  • 國際行動用戶ID 捕捉器

第7章預測警察市場：依最終用途

  • 偵探社
  • 執法
  • 軍事/國防
  • 警察局

第8章美洲預測警察市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第9章亞太地區警用市場預測

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第10章歐洲、中東和非洲的預測警察市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第11章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • SAP 宣布推出新的人工智慧主導零售功能，以增強從規劃到個人化的客戶體驗
    • Accenture收購 Nextira 以擴大人工智慧和機器學習領域的工程能力
    • NTT 資料宣布推出新服務，協助組織提供大膽的數位體驗

公司名單

  • 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.
Product Code: MRR-035590447B34

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.

KEY MARKET STATISTICS
Base Year [2023] USD 5.17 billion
Estimated Year [2024] USD 5.96 billion
Forecast Year [2030] USD 14.82 billion
CAGR (%) 16.23%

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.

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