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表紙：コンピューター支援ディスパッチの世界市場-2023年～2030年
市場調査レポート
商品コード
1347996

コンピューター支援ディスパッチの世界市場-2023年～2030年

Global Computer Aided Dispatch Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 217 Pages | 納期: 約2営業日

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コンピューター支援ディスパッチの世界市場-2023年～2030年
出版日: 2023年09月11日
発行: DataM Intelligence
ページ情報: 英文 217 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

世界のコンピューター支援ディスパッチ市場は、2022年に18億米ドルに達し、2023-2030年の予測期間中にCAGR 10.9%で成長し、2030年には37億米ドルに達すると予測されています。

都市人口の増加と緊急事態の頻発化により、効率的かつ効果的な緊急対応サービスの需要が高まっています。コンピューター支援ディスパッチシステムは、地理情報システム、リアルタイムデータフィード、モバイルデバイス、予測分析などの他の技術と統合され、より高度になってきており、これらの進歩は、コンピューター支援ディスパッチシステムの機能と精度を高め、その普及につながっています。

コンピューター支援ディスパッチシステムは、派遣（ディスパッチ）業務を自動化・合理化し、手作業によるプロセスや人的ミスを削減することで、迅速な対応時間、最適化された資源配分、緊急対応者間の連携改善をもたらします。モノのインターネットとセンサー技術は、リアルタイムのデータ収集と共有を可能にします。コンピューター支援ディスパッチシステムは、IoTデバイスやセンサーと統合することで、さまざまな情報源から重要な情報を収集し、状況認識と対応の有効性を高めることができます。

アジア太平洋は、世界のコンピューター支援ディスパッチ市場の1/3以上を占める成長地域のひとつであり、同地域では急速な都市化と人口増加が進んでいるため、緊急対応を含む公共安全サービスへの需要が高まっています。コンピューター支援ディスパッチシステムは、人口密度の高い都市部における緊急事態を効率的に管理する上で重要な役割を果たしています。

ダイナミクス

効率的な緊急対応システムに対する需要の増大

緊急時には、一刻を争います。コンピューター支援ディスパッチシステムは、発信者の位置、事件の詳細、対応可能な対応者などの重要な情報を、ディスパッチャーや対応者に迅速かつ正確に伝達することを可能にし、対応時間を最小限に抑え、緊急サービスの全体的な効率を向上させます。コンピューター支援ディスパッチシステムは、警察、消防、医療サービスなど、緊急対応に関わるさまざまな機関間のシームレスなコミュニケーションを促進します。

例えば、総合的な病院前救護の大手プロバイダーであるZenzoは2023年8月25日、救急医療に革命を起こすことを目的とした先進的な5G対応救急車一式を発表しました。最先端の救命機器と5Gコネクティビティを備えた救急車は、リアルタイムのデータ伝送、患者モニタリング、最高レベルの救急医療サービス、救急車のリアルタイム追跡を可能にします。統合とデータ伝送のための技術プラットフォームはTATA Communicationsが提供しました。

企業間のコラボレーション

公共安全機関と非公開会社間の協力は、進化する緊急対応ニーズに対応するコンピューター支援ディスパッチシステムを開発・導入する上で不可欠です。非公開会社はしばしば最先端技術の専門知識をもたらし、革新的なソリューションをコンピューター支援ディスパッチプラットフォームに統合する手助けをすることができます。コンピューター支援ディスパッチベンダーは、通信会社やデータ分析会社など他の技術プロバイダーと協力し、ソリューションの機能を強化しています。

例えば、2021年7月27日、Caliber Public SafetyとAT&Tは、革新的な公共安全ソフトウェア・ソリューションを提供するための戦略的協力関係を維持しており、このパートナーシップは、将来に向けて、より速く、よりスマートで、より安全な緊急通信ソリューションを創出することを目指しています。この提携は、テネシー州ナッシュビルで開催される2023年国際APCO会議で披露される予定です。

キャリバー・パブリック・セーフティとの提携は、ファーストネットにおけるネクストジェン9-1-1ディスパッチャーとファーストレスポンダー間のインターフェイスの改善に重点を置いており、これにはクラウド中心のソリューションと、コンピューター支援ディスパッチおよび記録管理システム用のアプリケーションが含まれます。

技術進歩

GIS技術をコンピューター支援ディスパッチシステムに統合することで、正確なマッピングと位置情報を提供します。ディスパッチャーは、インシデント発生場所、レスポンダーの位置、リソースの可用性をインタラクティブな地図上で視覚化することができ、これにより意思決定、ルート最適化、リソース割り当てが改善されます。高度なコンピューター支援ディスパッチシステムは、予測分析を使用して、インシデント、リソースのニーズ、潜在的な動向を予測します。

例えば、2023年8月25日、ペンシルバニアに本拠を置くMission Critical Partners社は、カーソンシティ保安官事務所の新しい通信プロジェクトをサポートするために、カーソンシティに選ばれました。このプロジェクトは、911と法執行サービスを提供し、郡の刑務所を管理する保安官事務所のために、新しいコンピューター支援ディスパッチ、記録管理システム、刑務所管理システムを導入することを含みます。

技術的な不具合と互換性の問題

コンピューター支援ディスパッチシステムは、位置情報や事件の詳細など、正確で最新のデータに大きく依存しています。不正確または不完全なデータは、誤ったコミュニケーション、対応の遅れ、資源配分の潜在的な誤りにつながる可能性があります。コンピューター支援ディスパッチシステムは、ネットワーク接続や電力供給を含む、安定した信頼できる技術インフラを必要とします。技術的な不具合、システム停止、またはサイバー攻撃は、コンピューター支援ディスパッチ業務を混乱させ、緊急対応能力に影響を与える可能性があります。

コンピューター支援ディスパッチシステムを、公共安全機関が使用する他のソフトウェアアプリケーション、データベース、テクノロジーと統合することは、複雑な場合があります。コンピューター支援ディスパッチと記録管理システム、地理情報システム、モバイルデータ端末を接続しようとすると、互換性の問題が生じることがあります。ディスパッチャーと第一応答者は、コンピューター支援ディスパッチシステムを効果的に使用するために、徹底したトレーニングが必要です。学習曲線は険しく、不十分な訓練はシステム機能の活用不足や誤ったデータ入力につながる可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 効率的な緊急対応システムに対する需要の増大
      • 企業間のコラボレーション
      • 技術進歩
    • 抑制要因
      • 技術的不具合と非互換性の問題
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 コンポーネント別

  • ソフトウェア
  • サービス

第8章 展開モード別

  • クラウド
  • オンプレミス

第9章 企業規模別

  • 大企業
  • 中小企業

第10章 用途別

  • ディスパッチユニット管理
  • 報告・分析
  • その他

第11章 エンドユーザー別

  • 公共安全
  • 防衛
  • 運輸
  • 電力・ユーティリティ
  • その他

第12章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第13章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第14章 企業プロファイル

  • Caliber Public Safety
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • CODY Systems
  • Hexagon AB
  • Motorola Solutions Inc.
  • Southern Software Inc.
  • Traumasoft
  • Zetron Inc.
  • ZOLL Medical Corporation
  • Mark43 Inc.
  • CentralSquare Technologies LLC

第15章 付録

目次
Product Code: ICT6852

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

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