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PUBLISHER: 360iResearch | PRODUCT CODE: 1601229

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PUBLISHER: 360iResearch | PRODUCT CODE: 1601229

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

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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?

Product Code: MRR-035590447B34

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.
Product Code: MRR-035590447B34

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
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