查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1601229

预测警察市场：按技术、最终用途划分 - 2025-2030 年全球预测

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个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

预测 2023年警用市场规模预计为51.7亿美元，预计2024年将达到59.6亿美元，预计2030年将增长至148.2亿美元，复合年增长率为16.23%。

预测性警务是指利用资料分析技术来预测潜在的犯罪活动并优化执法资源。这个概念在很大程度上依赖巨量资料、统计演算法和机器学习来识别可能预示未来犯罪的模式。预测性警务的需求源自于增强公共同时有效管理有限警察资源的持久目标。应用范围从预防犯罪到热点检测和部署优化，再到资源分配和主动社区参与。最终使用范围主要是市、州和联邦各级的执法机构，也可能扩展到私人保全公司。

主要市场统计
基准年[2023] 51.7亿美元
预测年份 [2024] 59.6亿美元
预测年份 [2030] 148.2亿美元
复合年增长率（%） 16.23%

市场洞察揭示了影响成长的几个关键因素。资料分析工具的快速进步、对智慧城市计划的日益关注以及来自监控系统和公民报告应用程式的数位资料量的增加正在推动采用。此外，政府加强公共的措施也支持了市场扩张机会。然而，市场面临着隐私问题、演算法预测的潜在偏差以及围绕公民自由的道德问题等限制。还有许多挑战，包括资料完整性、不同系统之间的互通性以及实施和维护先进预测警务系统的巨大成本。

潜力在于开发更透明和公正的演算法，提高与现有 CMS 和 RMS 系统的整合能力，以及利用云端技术实现可扩展的解决方案。专注于负责任的人工智慧和促进道德人工智慧实践可以成为一个创新和研究领域，为业务成长提供路径。市场的本质正在不断发展，平衡地关注创新和社会接受度。该研究向相关人员提出的建议包括优先考虑与公众的透明沟通、投资反偏见研究以及与道德监督机构合作，确保预测性警务仍然是加强安全和正义而不损害人民权利的工具。

市场动态：揭示快速发展的预测警察市场的关键市场洞察

供需的动态交互作用正在改变预测性警察市场。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时也能帮助消费行为及其对製造业的影响。

  • 市场驱动因素
    • 日益需要有效的策略来应对不断上升的犯罪率
    • 警方使用脸部辨识进行监控的情况显着蔓延
  • 市场限制因素
    • 缺乏使用预测性警务工具的熟练劳动力
  • 市场机会
    • 政府和监管机构对预测性警务的潜在资助
    • 预测警察软体和支援设备的新进展
  • 市场问题
    • 与预测警务工具相关的潜在错误和安全问题

波特的五力：驾驭预测警察市场的策略工具

波特的五力架构是了解预测警察市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解预测性警察市场的外部影响

外部宏观环境因素在塑造预测性警察市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析与预测 了解警用市场的竞争状况

预测警察市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV定位矩阵预测警察市场供应商绩效评估

FPNV 定位矩阵是评估预测警察市场供应商的关键工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商，从而做出与其目标相符的明智决策。四个象限清楚且准确地划分供应商，帮助使用者辨识最能满足其策略目标的合作伙伴和解决方案。

本报告提供了涵盖关键重点领域的全面市场分析：

1. 市场渗透率：对当前市场环境的详细回顾，包括行业主要企业的大量资料。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 越来越需要有效的策略来应对不断上升的犯罪率
      • 重要介绍使用脸部辨识的警察监控
    • 抑制因素
      • 缺乏使用预测性警务工具的熟练劳动力
    • 机会
      • 政府和监管机构为预测性警务提供资金。
      • 预测警察软体和支援设备的新进展
    • 任务
      • 与预测警务工具相关的潜在错误和安全问题
  • 市场区隔分析
    • 技术：犯罪分析在犯罪率高的司法管辖区和资料主导方法可以显着增强警务的地区是首选。
    • 最终用途：侦探机构重视预测工具的谨慎性和特异性，并希望软体能够在不侵犯个人隐私权的情况下整合私人资料库和公共记录。
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境
  • 客户客製化

第六章 预测警察市场：依技术分类

  • 犯罪分析
  • 脸部辨识技术
  • 地理定位技术
  • 国际行动用户ID 捕捉器

第七章预测警察市场：依最终用途

  • 侦探社
  • 执法
  • 军事/国防
  • 警察局

第八章美洲预测警察市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第九章亚太地区警用市场预测

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十章欧洲、中东和非洲的预测警察市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十一章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • SAP 宣布推出新的人工智慧主导零售功能，以增强从规划到个人化的客户体验
    • Accenture收购 Nextira 以扩大人工智慧和机器学习领域的工程能力
    • NTT 资料宣布推出新服务，协助组织提供大胆的数位体验

公司名单

  • 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