A Predictive Analytics System, especially within the context of a Quantum Intelligent Futuristic City Management System, is a sophisticated framework designed to analyze current and historical data to make predictions about future events. Here's an overview of its key components and functionalities:

1. Data Collection and Management: The system gathers a vast amount of data from multiple sources within the city, including sensors, IoT devices, traffic systems, social media, and public records. This data serves as the foundation for all predictive analysis.

2. Advanced Analytical Models: Utilizing machine learning algorithms and statistical models to process and analyze the collected data. These models identify patterns and trends that are not readily apparent.

3. Quantum Computing Integration: Leverages the power of quantum computing to process complex data sets and run simulations at unprecedented speeds, enhancing the accuracy and efficiency of predictive models.

4. Real-Time Analytics: Capable of processing data in real-time, allowing for immediate insights and predictions, which is crucial for dynamic urban environments where situations can change rapidly.

5. Scenario Planning and Simulation: The system can simulate various scenarios based on the available data, helping city planners and decision-makers to understand potential future outcomes and prepare accordingly.

6. Decision Support Tools: Provides actionable insights and recommendations to policymakers and city managers, aiding in more informed decision-making.

7. Customization and Adaptability: The ability to customize analytical models to suit specific city needs and adapt to changing data patterns and urban dynamics.

8. Predictive Maintenance: Uses predictive analytics for infrastructure maintenance, identifying potential issues before they become major problems, thereby saving time and resources.

9. Risk Assessment and Management: Assesses potential risks in various aspects of city management, from public safety to environmental hazards, enabling proactive measures.

10. User Interface and Visualization: Offers an intuitive user interface with advanced data visualization tools, making complex data and predictions understandable and accessible to various stakeholders.

11. Integration with Other Systems: Seamlessly integrates with other components of the city management system, such as traffic control, emergency services, and utility management, for a comprehensive approach.

12. Compliance and Security: Ensures data privacy and compliance with relevant regulations, while maintaining high standards of data security.

A Predictive Analytics System in this context is not just about forecasting; it's about empowering cities to be more proactive, efficient, and resilient in their planning and operations.