Natural Disaster Management Market by Solution (Seismic Warning & Monitoring Systems, Flood Beacons, Lightning Detectors), Application (Volcano Detection, Forest Fire Detection, Landslide Detection, Earthquake Detection) - Global Forecast to 2029
The Natural Disaster Management market is estimated to be USD 63.95 billion in 2024 to USD 114.04 billion in 2029 at a CAGR of 12.3% from 2024 to 2029. As global warming rapidly alters weather patterns and causes higher risks for flooding and storm surges on coastal people, natural hazards and climate disasters have been witnessing a heightened occurrence and increasing severity. Among their causes are climate change and the increased intensity of weather-related disasters, more intense floods, droughts, rising wildfires. Deforestation, along with unstructured urbanization and land use, raises the impact of such disasters and their vulnerability. Data across the globe depicts an alarming rate of increase in natural disasters during the past few decades with meteorological events getting more intense and more frequent. Thus, disaster management must urgently take up preventive interventions, such as early warning, climate change adaptation, and disaster-resilient infrastructure. In this way, governments, industries, and communities must come together to address the risk reduction and preparedness agenda to minimize the hit from the humanitarian effects of these disasters.
“During the forecast period, the Seismic Warning and Monitoring System contributed the largest market share in the natural disaster management market.”
In the natural disaster arena, seismic warning and monitoring solutions assume a significant function by offering early detection, real-time alerts, and impact assessments to save lives and reduce infrastructure damage. These systems use a combination of seismic sensors, accelerometers, and GPS monitoring to detect ground movement and characterize earthquake intensity. Advanced early warning systems utilize artificial intelligence (AI) and machine learning (ML), enabling real-time processing of seismic data to aid governments and businesses in taking preventive action to prevent power plants from going online or halting transportation networks before the severe shaking arrives. Large entities like the US Geological Survey (USGS), Japan Meteorological Agency (JMA), and private enterprises continually enhance such systems for enhanced earthquake resilience.
“The weather monitoring application segment is projected to register the highest CAGR during the forecast period.”
Predictive analytics, early warning systems, and real-time weather data can all be used to help manage natural catastrophes, including hurricanes, floods, wildfires, and storms. By combining satellite data, Internet of Things devices, and weather station feeds, this application provides users with real-time updates on temperature, humidity, wind speed, and precipitation. An artificial intelligence (AI)-based analytics system aids in forecasting weather extremes, enabling authorities to take the appropriate measures in advance. This emergency response coordination system is intended to speed up relief efforts and links local communities with the first responders and other government offices. The application has a citizen-reporting function that improves accuracy through local dissemination of weather conditions through images and videos.
'Asia Pacific will register the highest growth rate during the forecast period.”
The Asia-Pacific region is one of the world's most disaster-afflicted regions, with a high frequency and intensity of natural disasters like earthquakes, typhoons, tsunamis, floods, droughts, and wildfires. The region is set to undergo significant growth opportunities in the coming years, with countries such as India, China, Australia, and New Zealand expected to experience high growth rates. The region's governments are investing in advanced natural disaster solutions to reduce natural disaster problems. Urbanization, climate change, and geographical exposure are among the factors that fuel the rising frequency and intensity of these disasters, and hence disaster management is extremely important. Governments around the region have developed early warning systems, disaster risk reduction planning, and resilient infrastructure schemes in efforts to de-risk. Regional governments are supported by international organizations, such as the United Nations Office for Disaster Risk Reduction (UNDRR) and the Asian Development Bank (ADB), through funding, research, and technological solutions to build disaster resilience.
Breakdown of primaries
The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:
Research Coverage
The market study covers the natural disaster management market size across different segments. It aims to estimate the market size and the growth potential across different segments, including components (hardware, solutions, and services), systems, areas of application, and regions. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global natural disaster management market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Escalating frequency and intensity of climate-related disasters, technological advancements in IoT and AI, Increased government and regulatory focus), restraints (Funding limitations in developing regions, Interoperability and data integration issues, Lack of skilled personnel and training), opportunities (Expansion of remote sensing and satellite technologies, Development of AI-Powered predictive analytics, Growth of public-private partnerships) and challenges (Cybersecurity vulnerabilities, Data privacy and ethical concerns, Rapid urbanization and natural land encroachment) influencing the growth of the Natural Disaster management market. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the natural disaster management market. Market Development: Comprehensive information about lucrative markets – the report analyses the natural disaster management market across various regions. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the natural disaster management market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players NEC (Japan), Hexagon (Sweden), Nokia (Finland), Xylem (US), Esri (US), Everbridge (US), Blackberry (Canada), Vaisala (Finland), SAS (US), SuperMap (China), Sadeem Technology (Saudi Arabia), Lumineye (US), Venti LLC (US), SimpliSafe (US), One Concern (US), Trinity Mobility (India), F24 (England), Alertus Technology (US), OroraTech (Germany), Dryad Networks (Germany), GeoSIG (Switzerland), Kinemetrics (US), Nanometrics (Canada), Sanlien Technology (China), Telegrafia (Slovakia), SeismicAI (Israel), and OTT HydroMet (Germany).
“During the forecast period, the Seismic Warning and Monitoring System contributed the largest market share in the natural disaster management market.”
In the natural disaster arena, seismic warning and monitoring solutions assume a significant function by offering early detection, real-time alerts, and impact assessments to save lives and reduce infrastructure damage. These systems use a combination of seismic sensors, accelerometers, and GPS monitoring to detect ground movement and characterize earthquake intensity. Advanced early warning systems utilize artificial intelligence (AI) and machine learning (ML), enabling real-time processing of seismic data to aid governments and businesses in taking preventive action to prevent power plants from going online or halting transportation networks before the severe shaking arrives. Large entities like the US Geological Survey (USGS), Japan Meteorological Agency (JMA), and private enterprises continually enhance such systems for enhanced earthquake resilience.
“The weather monitoring application segment is projected to register the highest CAGR during the forecast period.”
Predictive analytics, early warning systems, and real-time weather data can all be used to help manage natural catastrophes, including hurricanes, floods, wildfires, and storms. By combining satellite data, Internet of Things devices, and weather station feeds, this application provides users with real-time updates on temperature, humidity, wind speed, and precipitation. An artificial intelligence (AI)-based analytics system aids in forecasting weather extremes, enabling authorities to take the appropriate measures in advance. This emergency response coordination system is intended to speed up relief efforts and links local communities with the first responders and other government offices. The application has a citizen-reporting function that improves accuracy through local dissemination of weather conditions through images and videos.
'Asia Pacific will register the highest growth rate during the forecast period.”
The Asia-Pacific region is one of the world's most disaster-afflicted regions, with a high frequency and intensity of natural disasters like earthquakes, typhoons, tsunamis, floods, droughts, and wildfires. The region is set to undergo significant growth opportunities in the coming years, with countries such as India, China, Australia, and New Zealand expected to experience high growth rates. The region's governments are investing in advanced natural disaster solutions to reduce natural disaster problems. Urbanization, climate change, and geographical exposure are among the factors that fuel the rising frequency and intensity of these disasters, and hence disaster management is extremely important. Governments around the region have developed early warning systems, disaster risk reduction planning, and resilient infrastructure schemes in efforts to de-risk. Regional governments are supported by international organizations, such as the United Nations Office for Disaster Risk Reduction (UNDRR) and the Asian Development Bank (ADB), through funding, research, and technological solutions to build disaster resilience.
Breakdown of primaries
The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:
- By Company Type: Tier 1 – 35%, Tier 2 – 40%, and Tier 3 – 25%
- By Designation: C-level Executives–60%, and Managers – 40%
- By Region: North America – 30%, Europe – 35%, Asia Pacific – 25%, Latin America-5%, MEA- 5%
Research Coverage
The market study covers the natural disaster management market size across different segments. It aims to estimate the market size and the growth potential across different segments, including components (hardware, solutions, and services), systems, areas of application, and regions. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global natural disaster management market's revenue numbers and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Escalating frequency and intensity of climate-related disasters, technological advancements in IoT and AI, Increased government and regulatory focus), restraints (Funding limitations in developing regions, Interoperability and data integration issues, Lack of skilled personnel and training), opportunities (Expansion of remote sensing and satellite technologies, Development of AI-Powered predictive analytics, Growth of public-private partnerships) and challenges (Cybersecurity vulnerabilities, Data privacy and ethical concerns, Rapid urbanization and natural land encroachment) influencing the growth of the Natural Disaster management market. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the natural disaster management market. Market Development: Comprehensive information about lucrative markets – the report analyses the natural disaster management market across various regions. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the natural disaster management market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players NEC (Japan), Hexagon (Sweden), Nokia (Finland), Xylem (US), Esri (US), Everbridge (US), Blackberry (Canada), Vaisala (Finland), SAS (US), SuperMap (China), Sadeem Technology (Saudi Arabia), Lumineye (US), Venti LLC (US), SimpliSafe (US), One Concern (US), Trinity Mobility (India), F24 (England), Alertus Technology (US), OroraTech (Germany), Dryad Networks (Germany), GeoSIG (Switzerland), Kinemetrics (US), Nanometrics (Canada), Sanlien Technology (China), Telegrafia (Slovakia), SeismicAI (Israel), and OTT HydroMet (Germany).
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primaries
2.1.2.2 Primary interviews with experts
2.1.2.3 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Demand-side analysis
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Supply-side analysis
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NATURAL DISASTER
MANAGEMENT MARKET
4.2 NATURAL DISASTER MANAGEMENT MARKET, BY COMPONENT
4.3 NATURAL DISASTER MANAGEMENT MARKET, BY SOLUTION
4.4 NATURAL DISASTER MANAGEMENT MARKET, BY APPLICATION
4.5 NATURAL DISASTER MANAGEMENT MARKET, BY COMMUNICATION SYSTEM
4.6 NATURAL DISASTER MANAGEMENT MARKET, BY END USER
4.7 NORTH AMERICA: NATURAL DISASTER MANAGEMENT MARKET, BY TOP THREE SOLUTIONS AND END USERS
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Escalating frequency and intensity of climate-related disasters
5.2.1.2 Technological advancements in IoT and AI
5.2.1.3 Increased government initiatives and regulatory frameworks
5.2.2 RESTRAINTS
5.2.2.1 Funding limitations in emerging economies
5.2.2.2 Interoperability and data integration issues
5.2.2.3 Lack of skilled personnel and training
5.2.3 OPPORTUNITIES
5.2.3.1 Expansion of remote sensing and satellite technologies
5.2.3.2 Development of AI-powered predictive analytics
5.2.3.3 Growth of public-private partnerships
5.2.4 CHALLENGES
5.2.4.1 Cybersecurity vulnerabilities
5.2.4.2 Data privacy and ethical concerns
5.2.4.3 Rapid urbanization and natural land encroachment
5.3 EVOLUTION OF NATURAL DISASTER MANAGEMENT
5.4 ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 CASE STUDY 1: ST. LOUIS EMERGENCY MANAGEMENT AGENCY ENHANCES TORNADO RESILIENCE WITH EVERBRIDGE
5.5.2 CASE STUDY 2: VAISALA HELPS BAHAAS WITH WEATHER RESILIENCY AND EARLY WARNINGS
5.5.3 CASE STUDY 3: SENDAI CITY'S DRONE-POWERED TSUNAMI PREPAREDNESS
5.5.4 CASE STUDY 4: NIAGARA REGION ENHANCES EMERGENCY RESPONSE WITH ATHOC'S UNIFIED COMMUNICATION
5.5.5 CASE STUDY 5: BRASKEM IDESA SAPI ENSURES EMPLOYEE SAFETY WITH FACT24'S CRISIS MANAGEMENT SYSTEM
5.6 SUPPLY CHAIN ANALYSIS
5.7 TARIFF AND REGULATORY LANDSCAPE
5.7.1 TARIFF DATA (HSN: 890710) - BEACONS AND OTHER FLOATING STRUCTURES
5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.3 KEY REGULATIONS, BY REGION
5.7.3.1 North America
5.7.3.1.1 US
5.7.3.1.2 Canada
5.7.3.2 Europe
5.7.3.3 Asia Pacific
5.7.3.3.1 South Korea
5.7.3.3.2 China
5.7.3.3.3 India
5.7.3.4 Middle East and Africa
5.7.3.4.1 UAE
5.7.3.4.2 KSA
5.7.3.5 Latin America
5.7.3.5.1 Brazil
5.8 PRICING ANALYSIS
5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
5.8.2 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Geographic information systems (GIS)
5.9.1.2 Internet of Things (IoT)
5.9.1.3 Artificial intelligence & machine learning (AI/ML)
5.9.1.4 Emergency response systems
5.9.1.5 Remote sensing
5.9.1.6 Early warning systems
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Edge computing
5.9.2.2 Big data and analytics
5.9.2.3 5G
5.9.2.4 Cloud computing
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Robotics
5.9.3.2 Wearable technology
5.9.3.3 Blockchain
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.11 PORTER’S FIVE FORCES ANALYSIS
5.11.1 THREAT OF NEW ENTRANTS
5.11.2 THREAT OF SUBSTITUTES
5.11.3 BARGAINING POWER OF BUYERS
5.11.4 BARGAINING POWER OF SUPPLIERS
5.11.5 INTENSITY OF COMPETITIVE RIVALRY
5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.12.2 BUYING CRITERIA
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.14 KEY CONFERENCES AND EVENTS, 2025–2026
5.15 TECHNOLOGY ROADMAP FOR NATURAL DISASTER MANAGEMENT MARKET
5.15.1 NATURAL DISASTER MANAGEMENT TECHNOLOGY ROADMAP TILL 2030
5.15.1.1 Short-term roadmap (2024–2026)
5.15.1.2 Mid-term roadmap (2026–2028)
5.15.1.3 Long-term roadmap (2028–2030)
5.16 BEST PRACTICES FOR NATURAL DISASTER MANAGEMENT
5.17 CURRENT AND EMERGING BUSINESS MODELS
5.18 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN NATURAL DISASTER MANAGEMENT
5.19 TRADE ANALYSIS
5.19.1 EXPORT SCENARIO OF BEACONS AND OTHER FLOATING STRUCTURES
5.19.2 IMPORT SCENARIO OF BEACONS AND OTHER FLOATING STRUCTURES
5.20 INVESTMENT AND FUNDING SCENARIO
5.21 IMPACT OF AI/GENERATIVE AI ON NATURAL DISASTER MANAGEMENT MARKET
5.21.1 USE CASES OF GENERATIVE AI IN NATURAL DISASTER MANAGEMENT
6 NATURAL DISASTER MANAGEMENT MARKET, BY COMPONENT
6.1 INTRODUCTION
6.1.1 COMPONENT: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 SEISMIC WARNING & MONITORING SYSTEMS
6.2.1.1 Enhancing earthquake preparedness, protecting critical infrastructure, and improving public safety through real-time detection
6.2.2 FLOOD BEACONS
6.2.2.1 Advanced early warning system designed to detect rising water levels and provide real-time alerts for flood events
6.2.3 FLOATING SENSOR NETWORKS
6.2.3.1 For real-time ocean monitoring and environmental tracking
6.2.4 LIGHTNING DETECTORS
6.2.4.1 Enhancing safety, improving weather forecasting, and safeguarding infrastructure by monitoring real-time lightning activity
6.2.5 ACOUSTIC REAL-TIME MONITORING SYSTEMS
6.2.5.1 Utilizing acoustic sensing technology for real-time monitoring of environmental changes
6.2.6 OTHER SOLUTIONS
6.3 SERVICES
6.3.1 CONSULTING
6.3.1.1 Expert consulting services for risk assessment, emergency preparedness, resilient infrastructure, and sustainable recovery
6.3.2 INTEGRATION
6.3.2.1 Integrating technology, communications, and logistics for effective disaster preparedness, response, and recovery
6.3.3 TRAINING & SIMULATION
6.3.3.1 Providing interactive environments for developing skills and enhancing decision-making in controlled, risk-free settings
7 NATURAL DISASTER MANAGEMENT MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
7.2 FLOOD DETECTION
7.2.1 ENHANCING FLOOD RESILIENCE THROUGH ADVANCED DETECTION SYSTEMS FOR EARLY WARNING, RISK MITIGATION, AND SUSTAINABLE RECOVERY
7.3 VOLCANO DETECTION
7.3.1 STRENGTHENING VOLCANIC DISASTER RESILIENCE THROUGH NATURAL DISASTER MANAGEMENT SOLUTIONS
7.4 FOREST FIRE DETECTION
7.4.1 DETECTING FIRES AT EARLY STAGES TO REDUCE DAMAGE
7.5 LANDSLIDE DETECTION
7.5.1 IMPLEMENTING ADVANCED LANDSLIDE DETECTION AND EARLY WARNING SYSTEMS FOR EFFECTIVE RISK MITIGATION
7.6 EARTHQUAKE DETECTION
7.6.1 ENHANCING EARTHQUAKE PREPAREDNESS THROUGH ADVANCED SEISMIC WARNING AND MONITORING SYSTEMS
7.7 VICTIM LOCALIZATION & POSITIONING
7.7.1 ENHANCING DISASTER RESPONSE AND RESCUE EFFORTS THROUGH ADVANCED VICTIM LOCALIZATION AND POSITIONING TECHNOLOGIES
7.8 WEATHER MONITORING
7.8.1 REVOLUTIONIZING ENVIRONMENTAL MONITORING AND FORECASTING THROUGH ADVANCED WEATHER DETECTION AND DATA ANALYTICS SYSTEMS
7.9 OTHER APPLICATIONS
8 NATURAL DISASTER MANAGEMENT MARKET, BY END USER
8.1 INTRODUCTION
8.1.1 END USER: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
8.2 GOVERNMENT ORGANIZATIONS
8.2.1 ENHANCING DISASTER PREPAREDNESS AND EMERGENCY RESPONSE THROUGH GOVERNMENT POLICIES AND TECHNOLOGICAL INNOVATIONS
8.3 PRIVATE COMPANIES
8.3.1 HARNESSING INNOVATION AND TECHNOLOGY FOR EFFICIENT DISASTER MANAGEMENT IN PRIVATE SECTOR
8.4 LAW ENFORCEMENT AGENCIES
8.4.1 STRENGTHENING EMERGENCY RESPONSE THROUGH DISASTER MANAGEMENT SOLUTIONS IN LAW ENFORCEMENT
8.5 RESCUE PERSONNEL
8.5.1 EXECUTING RAPID RESPONSE AND COORDINATED RESCUE OPERATIONS FOR EFFECTIVE DISASTER MANAGEMENT AND EMERGENCY RELIEF
9 NATURAL DISASTER MANAGEMENT MARKET, BY COMMUNICATION SYSTEM
9.1 INTRODUCTION
9.1.1 COMMUNICATION SYSTEM: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
9.2 FIRST RESPONDER TOOLS
9.2.1 ENHANCING DISASTER RESPONSE AND RECOVERY BY EQUIPPING FIRST RESPONDERS WITH ADVANCED TOOLS AND RESOURCES
9.3 SATELLITE-ASSISTED EQUIPMENT
9.3.1 AUTOMATING DISASTER MAPPING AND PROVIDING FULL COVERAGE OF SPECIFIC AREA
9.4 VEHICLE-READY GATEWAYS
9.4.1 HELPING EMERGENCY AND DISASTER RESPONSE VEHICLES COMMUNICATE AND COORDINATE EFFICIENTLY DURING EMERGENCY
9.5 EMERGENCY RESPONSE RADARS
9.5.1 ENHANCE DISASTER RESPONSE EFFORTS BY PROVIDING REAL-TIME DATA, IMPROVING SITUATIONAL AWARENESS
10 NATURAL DISASTER MANAGEMENT MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.2 NORTH AMERICA: PESTLE ANALYSIS
10.2.3 US
10.2.3.1 Climate change and increasing frequency and severity of weather events to drive market
10.2.4 CANADA
10.2.4.1 Increasing frequency of climate-related disasters and government investments to drive market
10.3 EUROPE
10.3.1 EUROPE: MACROECONOMIC OUTLOOK
10.3.2 EUROPE: PESTLE ANALYSIS
10.3.3 UK
10.3.3.1 Increasing extreme weather events and government-led research initiatives to drive market
10.3.4 GERMANY
10.3.4.1 Public-private investments in advanced technologies and infrastructure to drive market
10.3.5 FRANCE
10.3.5.1 Cyclones, floods, and strategic funding to propel market
10.3.6 ITALY
10.3.6.1 Mandatory disaster insurance and EU funding to drive market
10.3.7 SPAIN
10.3.7.1 Cross-border cooperation and government-led resilience initiatives to propel market
10.3.8 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.2 ASIA PACIFIC: PESTLE ANALYSIS
10.4.3 CHINA
10.4.3.1 Focus on technology-driven solutions and public-private partnerships to drive market
10.4.4 INDIA
10.4.4.1 Investment in advanced technologies like AI-powered flood forecasting models to drive market
10.4.5 JAPAN
10.4.5.1 Introduction of AI-powered drone systems for evacuation alerts and damage assessments to drive market
10.4.6 AUSTRALIA AND NEW ZEALAND
10.4.6.1 Investment in advanced technologies for enhanced disaster response to drive market
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.2 MIDDLE EAST & AFRICA: PESTLE ANALYSIS
10.5.3 UAE
10.5.3.1 Focus on AI-driven early warning systems and smart infrastructure to drive market
10.5.4 QATAR
10.5.4.1 Investment in advanced cooling technologies and flood-resistant infrastructure to drive market
10.5.5 KSA
10.5.5.1 Partnership with World Bank and GFDRR to address rising natural disasters to drive market
10.5.6 SOUTH AFRICA
10.5.6.1 Growing adoption of integrated IoT and cloud technologies to drive market
10.5.7 REST OF MIDDLE EAST & AFRICA
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.2 LATIN AMERICA: PESTLE ANALYSIS
10.6.3 BRAZIL
10.6.3.1 Launch of National Disaster Risk Reduction Plan focusing on early warning systems to drive market
10.6.4 MEXICO
10.6.4.1 Focus on predictive analytics and early warning systems for enhanced response and recovery efforts to drive market
10.6.5 ARGENTINA
10.6.5.1 National disaster risk reduction plan to drive market
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2023
11.5 MARKET RANKING ANALYSIS
11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
11.6.1 STARS
11.6.2 EMERGING LEADERS
11.6.3 PERVASIVE PLAYERS
11.6.4 PARTICIPANTS
11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
11.6.5.1 Company footprint
11.6.5.2 Region footprint
11.6.5.3 Component footprint
11.6.5.4 Application footprint
11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES,
11.7.5.1 Detailed list of key startups/SMEs
11.7.5.2 Competitive benchmarking of key start-ups/SMEs
11.8 COMPETITIVE SCENARIO
11.8.1 PRODUCT LAUNCHES/DEVELOPMENTS
11.8.2 DEALS
11.9 PRODUCT COMPARISON
11.10 COMPANY VALUATION AND FINANCIAL METRICS
12 COMPANY PROFILES
12.1 MAJOR PLAYERS
12.1.1 NEC
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Product launches/developments
12.1.1.3.2 Deals
12.1.1.4 MnM view
12.1.1.4.1 Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses and competitive threats
12.1.2 HEXAGON AB
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Deals
12.1.2.4 MnM view
12.1.2.4.1 Right to win
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses and competitive threats
12.1.3 NOKIA
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Product launches/developments
12.1.3.3.2 Deals
12.1.3.3.3 Other developments
12.1.3.4 MnM view
12.1.3.4.1 Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses and competitive threats
12.1.4 XYLEM
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Deals
12.1.4.4 MnM view
12.1.4.4.1 Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses and competitive threats
12.1.5 ESRI
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Product launches/developments
12.1.5.3.2 Deals
12.1.5.4 MnM view
12.1.5.4.1 Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses and competitive threats
12.1.6 EVERBRIDGE
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.6.3 Recent developments
12.1.6.3.1 Product launches/developments
12.1.6.3.2 Deals
12.1.6.3.3 Other developments
12.1.7 BLACKBERRY
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Product launches/developments
12.1.7.3.2 Deals
12.1.7.3.3 Other developments
12.1.8 VAISALA
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Product launches/developments
12.1.8.3.2 Deals
12.1.9 SAS INSTITUTE
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Deals
12.1.10 SUPERMAP
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Deals
12.1.11 SIMPLISAFE
12.1.12 KINEMETRICS
12.1.13 NANOMETRICS
12.1.14 SANLIEN TECHNOLOGY
12.2 STARTUPS/SMES
12.2.1 SADEEM TECHNOLOGY
12.2.2 LUMINEYE
12.2.3 VENTI LLC
12.2.4 ONE CONCERN
12.2.5 TRINITY MOBILITY
12.2.6 F24
12.2.7 ALERTUS TECHNOLOGY
12.2.8 ORORATECH
12.2.9 DRYAD NETWORKS
12.2.10 GEOSIG
12.2.11 TELEGRAFIA
12.2.12 SEISMICAI
12.2.13 OTT HYDROMET
13 ADJACENT/RELATED MARKETS
13.1 INTRODUCTION
13.2 INCIDENT AND EMERGENCY MANAGEMENT MARKET - GLOBAL FORECAST TO 2030
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Incident and emergency management market, by offering
13.2.2.2 Incident and emergency management market, by solution
13.2.2.3 Incident and emergency management market, by service
13.2.2.4 Incident and emergency management market, by communication tool and device
13.2.2.5 Incident and emergency management market, by vertical
13.2.2.6 Incident and emergency management market, by region
13.3 HOMELAND SECURITY AND EMERGENCY MANAGEMENT MARKET - FORECAST TO 2026
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Homeland security and emergency management market, by vertical
13.3.2.2 Homeland security and emergency management market, by end use
13.3.2.3 Homeland security and emergency management market, by solution
13.3.2.4 Homeland security and emergency management market,
by installation
13.3.2.5 Homeland security and emergency management market, by region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primaries
2.1.2.2 Primary interviews with experts
2.1.2.3 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Demand-side analysis
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Supply-side analysis
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NATURAL DISASTER
MANAGEMENT MARKET
4.2 NATURAL DISASTER MANAGEMENT MARKET, BY COMPONENT
4.3 NATURAL DISASTER MANAGEMENT MARKET, BY SOLUTION
4.4 NATURAL DISASTER MANAGEMENT MARKET, BY APPLICATION
4.5 NATURAL DISASTER MANAGEMENT MARKET, BY COMMUNICATION SYSTEM
4.6 NATURAL DISASTER MANAGEMENT MARKET, BY END USER
4.7 NORTH AMERICA: NATURAL DISASTER MANAGEMENT MARKET, BY TOP THREE SOLUTIONS AND END USERS
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Escalating frequency and intensity of climate-related disasters
5.2.1.2 Technological advancements in IoT and AI
5.2.1.3 Increased government initiatives and regulatory frameworks
5.2.2 RESTRAINTS
5.2.2.1 Funding limitations in emerging economies
5.2.2.2 Interoperability and data integration issues
5.2.2.3 Lack of skilled personnel and training
5.2.3 OPPORTUNITIES
5.2.3.1 Expansion of remote sensing and satellite technologies
5.2.3.2 Development of AI-powered predictive analytics
5.2.3.3 Growth of public-private partnerships
5.2.4 CHALLENGES
5.2.4.1 Cybersecurity vulnerabilities
5.2.4.2 Data privacy and ethical concerns
5.2.4.3 Rapid urbanization and natural land encroachment
5.3 EVOLUTION OF NATURAL DISASTER MANAGEMENT
5.4 ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 CASE STUDY 1: ST. LOUIS EMERGENCY MANAGEMENT AGENCY ENHANCES TORNADO RESILIENCE WITH EVERBRIDGE
5.5.2 CASE STUDY 2: VAISALA HELPS BAHAAS WITH WEATHER RESILIENCY AND EARLY WARNINGS
5.5.3 CASE STUDY 3: SENDAI CITY'S DRONE-POWERED TSUNAMI PREPAREDNESS
5.5.4 CASE STUDY 4: NIAGARA REGION ENHANCES EMERGENCY RESPONSE WITH ATHOC'S UNIFIED COMMUNICATION
5.5.5 CASE STUDY 5: BRASKEM IDESA SAPI ENSURES EMPLOYEE SAFETY WITH FACT24'S CRISIS MANAGEMENT SYSTEM
5.6 SUPPLY CHAIN ANALYSIS
5.7 TARIFF AND REGULATORY LANDSCAPE
5.7.1 TARIFF DATA (HSN: 890710) - BEACONS AND OTHER FLOATING STRUCTURES
5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.3 KEY REGULATIONS, BY REGION
5.7.3.1 North America
5.7.3.1.1 US
5.7.3.1.2 Canada
5.7.3.2 Europe
5.7.3.3 Asia Pacific
5.7.3.3.1 South Korea
5.7.3.3.2 China
5.7.3.3.3 India
5.7.3.4 Middle East and Africa
5.7.3.4.1 UAE
5.7.3.4.2 KSA
5.7.3.5 Latin America
5.7.3.5.1 Brazil
5.8 PRICING ANALYSIS
5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION
5.8.2 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Geographic information systems (GIS)
5.9.1.2 Internet of Things (IoT)
5.9.1.3 Artificial intelligence & machine learning (AI/ML)
5.9.1.4 Emergency response systems
5.9.1.5 Remote sensing
5.9.1.6 Early warning systems
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Edge computing
5.9.2.2 Big data and analytics
5.9.2.3 5G
5.9.2.4 Cloud computing
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Robotics
5.9.3.2 Wearable technology
5.9.3.3 Blockchain
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.11 PORTER’S FIVE FORCES ANALYSIS
5.11.1 THREAT OF NEW ENTRANTS
5.11.2 THREAT OF SUBSTITUTES
5.11.3 BARGAINING POWER OF BUYERS
5.11.4 BARGAINING POWER OF SUPPLIERS
5.11.5 INTENSITY OF COMPETITIVE RIVALRY
5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.12.2 BUYING CRITERIA
5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.14 KEY CONFERENCES AND EVENTS, 2025–2026
5.15 TECHNOLOGY ROADMAP FOR NATURAL DISASTER MANAGEMENT MARKET
5.15.1 NATURAL DISASTER MANAGEMENT TECHNOLOGY ROADMAP TILL 2030
5.15.1.1 Short-term roadmap (2024–2026)
5.15.1.2 Mid-term roadmap (2026–2028)
5.15.1.3 Long-term roadmap (2028–2030)
5.16 BEST PRACTICES FOR NATURAL DISASTER MANAGEMENT
5.17 CURRENT AND EMERGING BUSINESS MODELS
5.18 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN NATURAL DISASTER MANAGEMENT
5.19 TRADE ANALYSIS
5.19.1 EXPORT SCENARIO OF BEACONS AND OTHER FLOATING STRUCTURES
5.19.2 IMPORT SCENARIO OF BEACONS AND OTHER FLOATING STRUCTURES
5.20 INVESTMENT AND FUNDING SCENARIO
5.21 IMPACT OF AI/GENERATIVE AI ON NATURAL DISASTER MANAGEMENT MARKET
5.21.1 USE CASES OF GENERATIVE AI IN NATURAL DISASTER MANAGEMENT
6 NATURAL DISASTER MANAGEMENT MARKET, BY COMPONENT
6.1 INTRODUCTION
6.1.1 COMPONENT: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 SEISMIC WARNING & MONITORING SYSTEMS
6.2.1.1 Enhancing earthquake preparedness, protecting critical infrastructure, and improving public safety through real-time detection
6.2.2 FLOOD BEACONS
6.2.2.1 Advanced early warning system designed to detect rising water levels and provide real-time alerts for flood events
6.2.3 FLOATING SENSOR NETWORKS
6.2.3.1 For real-time ocean monitoring and environmental tracking
6.2.4 LIGHTNING DETECTORS
6.2.4.1 Enhancing safety, improving weather forecasting, and safeguarding infrastructure by monitoring real-time lightning activity
6.2.5 ACOUSTIC REAL-TIME MONITORING SYSTEMS
6.2.5.1 Utilizing acoustic sensing technology for real-time monitoring of environmental changes
6.2.6 OTHER SOLUTIONS
6.3 SERVICES
6.3.1 CONSULTING
6.3.1.1 Expert consulting services for risk assessment, emergency preparedness, resilient infrastructure, and sustainable recovery
6.3.2 INTEGRATION
6.3.2.1 Integrating technology, communications, and logistics for effective disaster preparedness, response, and recovery
6.3.3 TRAINING & SIMULATION
6.3.3.1 Providing interactive environments for developing skills and enhancing decision-making in controlled, risk-free settings
7 NATURAL DISASTER MANAGEMENT MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
7.2 FLOOD DETECTION
7.2.1 ENHANCING FLOOD RESILIENCE THROUGH ADVANCED DETECTION SYSTEMS FOR EARLY WARNING, RISK MITIGATION, AND SUSTAINABLE RECOVERY
7.3 VOLCANO DETECTION
7.3.1 STRENGTHENING VOLCANIC DISASTER RESILIENCE THROUGH NATURAL DISASTER MANAGEMENT SOLUTIONS
7.4 FOREST FIRE DETECTION
7.4.1 DETECTING FIRES AT EARLY STAGES TO REDUCE DAMAGE
7.5 LANDSLIDE DETECTION
7.5.1 IMPLEMENTING ADVANCED LANDSLIDE DETECTION AND EARLY WARNING SYSTEMS FOR EFFECTIVE RISK MITIGATION
7.6 EARTHQUAKE DETECTION
7.6.1 ENHANCING EARTHQUAKE PREPAREDNESS THROUGH ADVANCED SEISMIC WARNING AND MONITORING SYSTEMS
7.7 VICTIM LOCALIZATION & POSITIONING
7.7.1 ENHANCING DISASTER RESPONSE AND RESCUE EFFORTS THROUGH ADVANCED VICTIM LOCALIZATION AND POSITIONING TECHNOLOGIES
7.8 WEATHER MONITORING
7.8.1 REVOLUTIONIZING ENVIRONMENTAL MONITORING AND FORECASTING THROUGH ADVANCED WEATHER DETECTION AND DATA ANALYTICS SYSTEMS
7.9 OTHER APPLICATIONS
8 NATURAL DISASTER MANAGEMENT MARKET, BY END USER
8.1 INTRODUCTION
8.1.1 END USER: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
8.2 GOVERNMENT ORGANIZATIONS
8.2.1 ENHANCING DISASTER PREPAREDNESS AND EMERGENCY RESPONSE THROUGH GOVERNMENT POLICIES AND TECHNOLOGICAL INNOVATIONS
8.3 PRIVATE COMPANIES
8.3.1 HARNESSING INNOVATION AND TECHNOLOGY FOR EFFICIENT DISASTER MANAGEMENT IN PRIVATE SECTOR
8.4 LAW ENFORCEMENT AGENCIES
8.4.1 STRENGTHENING EMERGENCY RESPONSE THROUGH DISASTER MANAGEMENT SOLUTIONS IN LAW ENFORCEMENT
8.5 RESCUE PERSONNEL
8.5.1 EXECUTING RAPID RESPONSE AND COORDINATED RESCUE OPERATIONS FOR EFFECTIVE DISASTER MANAGEMENT AND EMERGENCY RELIEF
9 NATURAL DISASTER MANAGEMENT MARKET, BY COMMUNICATION SYSTEM
9.1 INTRODUCTION
9.1.1 COMMUNICATION SYSTEM: NATURAL DISASTER MANAGEMENT MARKET DRIVERS
9.2 FIRST RESPONDER TOOLS
9.2.1 ENHANCING DISASTER RESPONSE AND RECOVERY BY EQUIPPING FIRST RESPONDERS WITH ADVANCED TOOLS AND RESOURCES
9.3 SATELLITE-ASSISTED EQUIPMENT
9.3.1 AUTOMATING DISASTER MAPPING AND PROVIDING FULL COVERAGE OF SPECIFIC AREA
9.4 VEHICLE-READY GATEWAYS
9.4.1 HELPING EMERGENCY AND DISASTER RESPONSE VEHICLES COMMUNICATE AND COORDINATE EFFICIENTLY DURING EMERGENCY
9.5 EMERGENCY RESPONSE RADARS
9.5.1 ENHANCE DISASTER RESPONSE EFFORTS BY PROVIDING REAL-TIME DATA, IMPROVING SITUATIONAL AWARENESS
10 NATURAL DISASTER MANAGEMENT MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.2 NORTH AMERICA: PESTLE ANALYSIS
10.2.3 US
10.2.3.1 Climate change and increasing frequency and severity of weather events to drive market
10.2.4 CANADA
10.2.4.1 Increasing frequency of climate-related disasters and government investments to drive market
10.3 EUROPE
10.3.1 EUROPE: MACROECONOMIC OUTLOOK
10.3.2 EUROPE: PESTLE ANALYSIS
10.3.3 UK
10.3.3.1 Increasing extreme weather events and government-led research initiatives to drive market
10.3.4 GERMANY
10.3.4.1 Public-private investments in advanced technologies and infrastructure to drive market
10.3.5 FRANCE
10.3.5.1 Cyclones, floods, and strategic funding to propel market
10.3.6 ITALY
10.3.6.1 Mandatory disaster insurance and EU funding to drive market
10.3.7 SPAIN
10.3.7.1 Cross-border cooperation and government-led resilience initiatives to propel market
10.3.8 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.2 ASIA PACIFIC: PESTLE ANALYSIS
10.4.3 CHINA
10.4.3.1 Focus on technology-driven solutions and public-private partnerships to drive market
10.4.4 INDIA
10.4.4.1 Investment in advanced technologies like AI-powered flood forecasting models to drive market
10.4.5 JAPAN
10.4.5.1 Introduction of AI-powered drone systems for evacuation alerts and damage assessments to drive market
10.4.6 AUSTRALIA AND NEW ZEALAND
10.4.6.1 Investment in advanced technologies for enhanced disaster response to drive market
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.2 MIDDLE EAST & AFRICA: PESTLE ANALYSIS
10.5.3 UAE
10.5.3.1 Focus on AI-driven early warning systems and smart infrastructure to drive market
10.5.4 QATAR
10.5.4.1 Investment in advanced cooling technologies and flood-resistant infrastructure to drive market
10.5.5 KSA
10.5.5.1 Partnership with World Bank and GFDRR to address rising natural disasters to drive market
10.5.6 SOUTH AFRICA
10.5.6.1 Growing adoption of integrated IoT and cloud technologies to drive market
10.5.7 REST OF MIDDLE EAST & AFRICA
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.2 LATIN AMERICA: PESTLE ANALYSIS
10.6.3 BRAZIL
10.6.3.1 Launch of National Disaster Risk Reduction Plan focusing on early warning systems to drive market
10.6.4 MEXICO
10.6.4.1 Focus on predictive analytics and early warning systems for enhanced response and recovery efforts to drive market
10.6.5 ARGENTINA
10.6.5.1 National disaster risk reduction plan to drive market
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2023
11.5 MARKET RANKING ANALYSIS
11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
11.6.1 STARS
11.6.2 EMERGING LEADERS
11.6.3 PERVASIVE PLAYERS
11.6.4 PARTICIPANTS
11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
11.6.5.1 Company footprint
11.6.5.2 Region footprint
11.6.5.3 Component footprint
11.6.5.4 Application footprint
11.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
11.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES,
11.7.5.1 Detailed list of key startups/SMEs
11.7.5.2 Competitive benchmarking of key start-ups/SMEs
11.8 COMPETITIVE SCENARIO
11.8.1 PRODUCT LAUNCHES/DEVELOPMENTS
11.8.2 DEALS
11.9 PRODUCT COMPARISON
11.10 COMPANY VALUATION AND FINANCIAL METRICS
12 COMPANY PROFILES
12.1 MAJOR PLAYERS
12.1.1 NEC
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Product launches/developments
12.1.1.3.2 Deals
12.1.1.4 MnM view
12.1.1.4.1 Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses and competitive threats
12.1.2 HEXAGON AB
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Deals
12.1.2.4 MnM view
12.1.2.4.1 Right to win
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses and competitive threats
12.1.3 NOKIA
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Product launches/developments
12.1.3.3.2 Deals
12.1.3.3.3 Other developments
12.1.3.4 MnM view
12.1.3.4.1 Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses and competitive threats
12.1.4 XYLEM
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Deals
12.1.4.4 MnM view
12.1.4.4.1 Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses and competitive threats
12.1.5 ESRI
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Product launches/developments
12.1.5.3.2 Deals
12.1.5.4 MnM view
12.1.5.4.1 Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses and competitive threats
12.1.6 EVERBRIDGE
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.6.3 Recent developments
12.1.6.3.1 Product launches/developments
12.1.6.3.2 Deals
12.1.6.3.3 Other developments
12.1.7 BLACKBERRY
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Product launches/developments
12.1.7.3.2 Deals
12.1.7.3.3 Other developments
12.1.8 VAISALA
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Product launches/developments
12.1.8.3.2 Deals
12.1.9 SAS INSTITUTE
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Deals
12.1.10 SUPERMAP
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Deals
12.1.11 SIMPLISAFE
12.1.12 KINEMETRICS
12.1.13 NANOMETRICS
12.1.14 SANLIEN TECHNOLOGY
12.2 STARTUPS/SMES
12.2.1 SADEEM TECHNOLOGY
12.2.2 LUMINEYE
12.2.3 VENTI LLC
12.2.4 ONE CONCERN
12.2.5 TRINITY MOBILITY
12.2.6 F24
12.2.7 ALERTUS TECHNOLOGY
12.2.8 ORORATECH
12.2.9 DRYAD NETWORKS
12.2.10 GEOSIG
12.2.11 TELEGRAFIA
12.2.12 SEISMICAI
12.2.13 OTT HYDROMET
13 ADJACENT/RELATED MARKETS
13.1 INTRODUCTION
13.2 INCIDENT AND EMERGENCY MANAGEMENT MARKET - GLOBAL FORECAST TO 2030
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Incident and emergency management market, by offering
13.2.2.2 Incident and emergency management market, by solution
13.2.2.3 Incident and emergency management market, by service
13.2.2.4 Incident and emergency management market, by communication tool and device
13.2.2.5 Incident and emergency management market, by vertical
13.2.2.6 Incident and emergency management market, by region
13.3 HOMELAND SECURITY AND EMERGENCY MANAGEMENT MARKET - FORECAST TO 2026
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Homeland security and emergency management market, by vertical
13.3.2.2 Homeland security and emergency management market, by end use
13.3.2.3 Homeland security and emergency management market, by solution
13.3.2.4 Homeland security and emergency management market,
by installation
13.3.2.5 Homeland security and emergency management market, by region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
