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PUBLISHER: DataM Intelligence | PRODUCT CODE: 1347996

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PUBLISHER: DataM Intelligence | PRODUCT CODE: 1347996

Global Computer Aided Dispatch Market - 2023-2030

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Overview

Global Computer Aided Dispatch Market reached US$ 1.8 billion in 2022 and is expected to reach US$ 3.7 billion by 2030, growing with a CAGR of 10.9% during the forecast period 2023-2030.

Rising urban populations and emergencies become more frequent, the demand for efficient and effective emergency response services increases. Computer aided dispatch systems are becoming more advanced and integrated with other technologies such as geographic information systems, real-time data feeds, mobile devices and predictive analytics and these advancements enhance the capabilities and accuracy of computer aided dispatch systems, leading to their wider adoption.

Computer aided dispatch systems automate and streamline dispatch operations, reducing manual processes and human errors and this results in quicker response times, optimized resource allocation and improved coordination among emergency responders. The Internet of Things and sensor technologies enable real-time data collection and sharing. Computer aided dispatch systems can integrate with IoT devices and sensors to gather critical information from various sources, enhancing situational awareness and response effectiveness.

Asia-Pacific is among the growing regions in the global computer aided dispatch market covering more than 1/3rd of the market and the region are experiencing rapid urbanization and population growth and this leads to increased demand for public safety services, including emergency response. Computer aided dispatch systems play a crucial role in efficiently managing emergency incidents in densely populated urban areas.

Dynamics

Rising Demand for Efficient Emergency Response System

During emergencies, every second counts. Computer aided dispatch systems enable quick and accurate transmission of crucial information, such as caller location, incident details and responder availability, to dispatchers and responders, this helps minimize response time and improve the overall efficiency of emergency services. Computer aided dispatch systems facilitate seamless communication among different agencies involved in emergency response, such as police, fire and medical services.

For instance, on 25 August 2023, Zenzo, a leading provider of comprehensive pre-hospital care, introduced a fleet of advanced 5G-enabled ambulances that aims to revolutionize emergency medical care. Equipped with cutting-edge life-saving equipment and 5G connectivity, the ambulances will enable real-time data transmission, patient monitoring, top-tier emergency medical services and real-time tracking of ambulances. The technology platform for integration and data transmission was provided by TATA Communications.

Collaboration Between Companies

Collaboration between public safety agencies and private technology companies is essential for developing and implementing computer aided dispatch systems that meet the evolving needs of emergency response. Private companies often bring expertise in cutting-edge technologies and can help integrate innovative solutions into computer aided dispatch platforms. Computer aided dispatch vendors collaborate with other technology providers, such as telecommunications companies and data analytics firms, to enhance the capabilities of their solutions.

For instance, on 27 July 2021, Caliber Public Safety and AT&T are maintaining their strategic collaboration to provide innovative public safety software solutions, this partnership aims to create faster, smarter and safer emergency communication solutions for the future. The collaboration will be showcased at the 2023 International APCO Conference in Nashville, Tennessee.

The collaboration with Caliber Public Safety focuses on improving the interface between NextGen 9-1-1 dispatchers and first responders on FirstNet and this involves cloud-centric solutions and applications for computer-aided dispatch and records management systems.

Technology Advancement

Integration of GIS technology into computer aided dispatch systems provides accurate mapping and location-based information. Dispatchers can visualize incident locations, responder positions and resource availability on interactive maps and this improves decision-making, route optimization and resource allocation. Advanced computer aided dispatch systems use predictive analytics to anticipate incidents, resource needs and potential trends.

For instance, on 25 August 2023, Mission Critical Partners, a Pennsylvania-based firm, has been selected by Carson City to support a new communications project at the Carson City Sheriff's Office. The project involves implementing new computer-aided dispatch, records management systems and jail management systems for the sheriff's office, which provides 911 and law enforcement services and manages the county jail.

Technical Glitches and Incompatibility Issue

Computer aided dispatch systems heavily rely on accurate and up-to-date data, including location information and incident details. Inaccurate or incomplete data can lead to miscommunication, delayed responses and potential errors in resource allocation. Computer aided dispatch systems require stable and reliable technology infrastructure, including network connectivity and power supply. Technical glitches, system outages or cyberattacks can disrupt computer aided dispatch operations, affecting emergency response capabilities.

Integrating computer aided dispatch systems with other software applications, databases and technologies used by public safety agencies can be complex. Incompatibility issues may arise when attempting to connect computer aided dispatch with records management systems, geographic information systems or mobile data terminals. Dispatchers and first responders need thorough training to effectively use computer aided dispatch systems. The learning curve can be steep and inadequate training may lead to underutilization of system features or incorrect data entry.

Segment Analysis

The global computer aided dispatch market is segmented based component, deployment mode, enterprise size, application, end-user and region.

Rising Adoption of Cloud-Based Systems

Cloud-based segment is expected to cover around 1/3rd of the global market during the forecast period 2023-2030. Cloud-based computer aided dispatch systems offer unparalleled scalability, allowing emergency services to easily scale up or down based on demand and this is particularly crucial during peak times or emergencies when call volume spikes.

Cloud-based solutions can adapt to changing needs without requiring major infrastructure changes. Cloud technology enables sharing of data real-time and collaboration among different agencies and departments involved in emergency response, this leads to more accurate and timely decision-making, enhancing overall response effectiveness.

For instance, on 24 August 2023, Mark43, a leading cloud-native public safety technology company, announced a partnership with RapidSOS to enhance the capabilities of 911 call centers using Mark43 computer-aided dispatch and this collaboration aims to provide accurate location information and additional data from RapidSOS to first responders, ultimately improving the speed and accuracy of emergency responses.

Geographical Penetration

Adoption of Advanced Technologies in North America

North America is the largest region in the global computer aided dispatch market covering more than 1/3rd of the market. The region is a hub of technological innovation and the adoption of advanced technologies like computer aided dispatch systems is a natural progression. The region's strong IT infrastructure and technological expertise have facilitated the integration of computer aided dispatch with other systems and platforms.

For instance, on 16 February 2023, Zetron, a global leader in integrated mission-critical communications technology, announced its acquisition of GeoConex Corporation, a developer and integrator of Public Safety and Homeland Security communications systems and this acquisition, completed recently, was disclosed through an announcement on the Australian Stock Exchange by Codan Limited Zetron's publicly traded parent company.

Competitive Landscape

The major global players in the market include Caliber Public Safety, CODY Systems, Hexagon AB, Motorola Solutions Inc., Southern Software Inc., Traumasoft, Zetron Inc., ZOLL Medical Corporation, Mark43 Inc. and CentralSquare Technologies LLC.

COVID-19 Impact Analysis

Many emergency dispatch centers had to adapt to remote work environments to ensure the safety of their staff. Computer aided dispatch systems were modified to support remote access for dispatchers, allowing them to continue their crucial work from home while maintaining real-time communication and coordination. Many emergency dispatch centers had to adapt to remote work environments to ensure the safety of their staff.

Computer aided dispatch systems were modified to support remote access for dispatchers, allowing them to continue their crucial work from home while maintaining real-time communication and coordination. Computer aided dispatch systems needed to adjust to fluctuating call volumes and changing patterns of emergency incidents during different stages of the pandemic, this required rapid adaptation to ensure that dispatchers were prepared to handle various types of emergencies.

AI Impact

Built on Google Cloud's Vertex AI Vision, this solution utilizes Google's extensive database to recognize billions of products, ensuring in-store shelves are well-stocked. Google Cloud introduced a new personalization AI capability and an AI-powered browse feature to enhance digital storefronts. The personalization AI customizes search and browsing results based on customer behavior, while the browse feature optimizes the ordering of products on E-commerce sites.

Google Cloud's Recommendations AI solution received upgrades, including page-level optimization, revenue optimization and a buy-it-again model and these enhancements offer more personalized and dynamic product recommendations to improve conversion rates and revenue. Recommendations AI now includes page-level optimization, revenue optimization and a buy-it-again model, these enhancements offer more personalized and dynamic product recommendations to improve conversion rates and revenue.

AI-powered CAD systems analyze incoming emergency calls, text messages and other data to automatically classify incidents based on severity and type and this helps dispatchers prioritize responses and allocate appropriate resources more effectively. AI algorithms can analyze vast amounts of real-time data from various sources, such as sensors, cameras and social media to provide dispatchers with comprehensive situational awareness and this enables better decision-making and more informed resource allocation.

Russia- Ukraine War Impact

The areas which directly affected by the conflict, emergency services including computer aided dispatch operations, might experience disruptions due to infrastructure damage power outages or communication breakdowns, this could affect the ability to respond to emergencies effectively. In conflict zones, emergency responders and dispatchers might need to adjust their protocols to address unique challenges posed by the situation and this could involve coordinating with security forces, managing access to certain areas.

Conflicts often lead to an increase in emergencies, including medical incidents, accidents and other incidents related to the conflict. Computer aided dispatch systems would need to manage higher call volumes and ensure that resources are allocated appropriately. Balancing resources between addressing conflict-related incidents and regular emergencies can be a challenge. Computer aided dispatch systems would need to adapt to shifting priorities and dynamically allocate resources based on the evolving situation.

By Component

  • Software
  • Services

By Deployment Mode

  • Cloud
  • On-Premise

By Enterprise Size

  • Large Enterprise
  • Small and Medium-Sized Enterprise

By Application

  • Dispatch Unit Management
  • Reporting and Analysis
  • Others

By End-User

  • Public Safety
  • Defense
  • Transportation
  • Power and Utilities
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • On 24 August 2022, Mark43, a prominent cloud-native public safety software provider launched its integrated Computer-Aided Dispatch and mobile capabilities in collaboration with the Tennessee Highway Patrol, a division of the Tennessee Department of Public Safety and Homeland Security, this technology equips THP to enforce traffic regulations on federal and state highways in Tennessee, aligning with the agency's mission of safeguarding lives, property and constitutional rights.
  • On 5 August 2021, Accenture and the Fire Department of the City of New York collaborated to develop a state-of-the-art computer-aided dispatch (CAD) system named FireCAD, marking a significant advancement for the FDNY's dispatch operations.
  • On 25 July 2022, The Gilbert Police Department introduced a cloud-based Computer Aided Dispatch and Records Management System software platform provided by Versaterm Public Safety, this transition aims to enhance security and emergency response capabilities for residents of Gilbert. The adoption of this cloud-based public safety software platform aligns with Gilbert's commitment to data-driven solutions that improve community services.

Why Purchase the Report?

  • To visualize the global computer aided dispatch market segmentation based on component, deployment mode, enterprise size, application, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of computer aided dispatch market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global computer aided dispatch market report would provide approximately 77 tables, 76 figures and 217 pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies
Product Code: ICT6852

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Deployment Mode
  • 3.3. Snippet by Enterprise Size
  • 3.4. Snippet by Application
  • 3.5. Snippet by End-User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Demand for Efficient Emergency Response System
      • 4.1.1.2. Collaboration Between Companies
      • 4.1.1.3. Technology Advancement
    • 4.1.2. Restraints
      • 4.1.2.1. Technical Glitches and Incompatibility Issue
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Software*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services

8. By Deployment Mode

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 8.1.2. Market Attractiveness Index, By Deployment Mode
  • 8.2. Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. By Enterprise Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 9.1.2. Market Attractiveness Index, By Enterprise Size
  • 9.2. Large Enterprise*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Small and Medium-Sized Enterprise

10. By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Dispatch Unit Management*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Reporting and Analysis
  • 10.4. Others

11. By End-User

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.1.2. Market Attractiveness Index, By Application
  • 11.2. Public Safety*
    • 11.2.1. Introduction
    • 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3. Defense
  • 11.4. Transportation
  • 11.5. Power and Utilities
  • 11.6. Others

12. By Region

  • 12.1. Introduction
    • 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2. Market Attractiveness Index, By Region
  • 12.2. North America
    • 12.2.1. Introduction
    • 12.2.2. Key Region-Specific Dynamics
    • 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.8.1. U.S.
      • 12.2.8.2. Canada
      • 12.2.8.3. Mexico
  • 12.3. Europe
    • 12.3.1. Introduction
    • 12.3.2. Key Region-Specific Dynamics
    • 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1. Germany
      • 12.3.8.2. UK
      • 12.3.8.3. France
      • 12.3.8.4. Italy
      • 12.3.8.5. Russia
      • 12.3.8.6. Rest of Europe
  • 12.4. South America
    • 12.4.1. Introduction
    • 12.4.2. Key Region-Specific Dynamics
    • 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1. Brazil
      • 12.4.8.2. Argentina
      • 12.4.8.3. Rest of South America
  • 12.5. Asia-Pacific
    • 12.5.1. Introduction
    • 12.5.2. Key Region-Specific Dynamics
    • 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1. China
      • 12.5.8.2. India
      • 12.5.8.3. Japan
      • 12.5.8.4. Australia
      • 12.5.8.5. Rest of Asia-Pacific
  • 12.6. Middle East and Africa
    • 12.6.1. Introduction
    • 12.6.2. Key Region-Specific Dynamics
    • 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

  • 13.1. Competitive Scenario
  • 13.2. Market Positioning/Share Analysis
  • 13.3. Mergers and Acquisitions Analysis

14. Company Profiles

  • 14.1. Caliber Public Safety*
    • 14.1.1. Company Overview
    • 14.1.2. Product Portfolio and Description
    • 14.1.3. Financial Overview
    • 14.1.4. Key Developments
  • 14.2. CODY Systems
  • 14.3. Hexagon AB
  • 14.4. Motorola Solutions Inc.
  • 14.5. Southern Software Inc.
  • 14.6. Traumasoft
  • 14.7. Zetron Inc.
  • 14.8. ZOLL Medical Corporation
  • 14.9. Mark43 Inc.
  • 14.10. CentralSquare Technologies LLC

LIST NOT EXHAUSTIVE

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us
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