Global Forest Wildfire Detection System Market Research Report 2023

Publication ID:

PB510232325

Publication Date:

October 19, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

In recent years, the continuous occurrence of forest disasters has caused serious loss of life and property. Forest wildfire detection system can automatic detected forest fires 24 hours.
The global Forest Wildfire Detection System market is projected to reach US$ 420.7 million in 2029, increasing from US$ 243.2 million in 2022, with the CAGR of 8.2% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Forest Wildfire Detection System 91制片厂.
The Forest Wildfire Detection System market, which encompasses technologies and solutions for early detection and monitoring of wildfires in forests and natural landscapes, is influenced by various drivers and restrictions. Here are some of the key factors that drive and limit the Forest Wildfire Detection System market:

Market Drivers:

Increasing Frequency of Wildfires: The rising frequency and severity of wildfires in various regions due to factors like climate change and human activities drive the demand for advanced wildfire detection systems.

Environmental Concerns: Growing awareness of the ecological and environmental impacts of wildfires fuels the need for more effective detection and prevention measures.

Government Regulations: Stringent regulations and government initiatives mandating the use of wildfire detection systems in vulnerable regions or during high-risk seasons can drive market growth.

Technological Advancements: Advances in sensor technology, remote sensing, and data analytics have improved the accuracy and efficiency of wildfire detection systems, making them more attractive to potential buyers.

Insurance Industry: The insurance sector's interest in reducing wildfire-related losses and liabilities can drive investments in wildfire detection technologies.

Public Safety: Protecting lives and property from wildfires is a priority, and this concern for public safety drives investments in detection systems.

Market Restrictions:

High Costs: Deploying and maintaining advanced wildfire detection systems can be expensive, limiting their adoption, particularly in regions with limited financial resources.

Geographical Challenges: In remote or inaccessible areas, it may be difficult to install and maintain detection equipment, reducing the effectiveness of the systems.

False Alarms: Some detection systems can be prone to false alarms, which can be costly and disruptive. Systems must minimize false positives to be effective.

Privacy Concerns: Some advanced detection technologies, such as aerial surveillance, may raise privacy concerns, leading to legal or public opposition.

Interference from Natural Elements: Adverse weather conditions, vegetation growth, and other environmental factors can affect the performance of detection systems.

Data Management and Analysis: The vast amounts of data generated by detection systems require effective management and analysis, which can be challenging for organizations.

Infrastructure Requirements: Deploying detection systems often requires the development of supporting infrastructure, such as power sources and communication networks, which can be limiting in remote areas.

Regulatory Hurdles: Depending on the region, there may be regulatory barriers or lengthy approval processes for the deployment of detection systems.

In summary, the Forest Wildfire Detection System market is driven by factors such as the increasing threat of wildfires, environmental concerns, government regulations, and technological advancements. However, it faces limitations related to costs, geographical challenges, false alarms, and privacy concerns, which must be addressed for the widespread adoption and success of these systems.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Forest Wildfire Detection System market with multiple angles, which provides sufficient supports to readers鈥� strategy and decision making.
By Company
Qingdao Haohai Network Technology
Continental
Indra
PARATRONIC
Jiangxi Huayu Software
IQ Wireless
Insight Robotics
Segment by Type
Software
Hardware
Segment by Application
Park
Forest
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Forest Wildfire Detection System report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies鈥� Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies鈥� Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Forest Wildfire Detection System Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Software
1.2.3 Hardware
1.3 Market by Application
1.3.1 Global Forest Wildfire Detection System Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Park
1.3.3 Forest
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Forest Wildfire Detection System Market Perspective (2018-2029)
2.2 Forest Wildfire Detection System Growth Trends by Region
2.2.1 Global Forest Wildfire Detection System Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Forest Wildfire Detection System Historic Market Size by Region (2018-2023)
2.2.3 Forest Wildfire Detection System Forecasted Market Size by Region (2024-2029)
2.3 Forest Wildfire Detection System Market Dynamics
2.3.1 Forest Wildfire Detection System Industry Trends
2.3.2 Forest Wildfire Detection System Market Drivers
2.3.3 Forest Wildfire Detection System Market Challenges
2.3.4 Forest Wildfire Detection System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Forest Wildfire Detection System Players by Revenue
3.1.1 Global Top Forest Wildfire Detection System Players by Revenue (2018-2023)
3.1.2 Global Forest Wildfire Detection System Revenue Market Share by Players (2018-2023)
3.2 Global Forest Wildfire Detection System Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Forest Wildfire Detection System Revenue
3.4 Global Forest Wildfire Detection System Market Concentration Ratio
3.4.1 Global Forest Wildfire Detection System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Forest Wildfire Detection System Revenue in 2022
3.5 Forest Wildfire Detection System Key Players Head office and Area Served
3.6 Key Players Forest Wildfire Detection System Product Solution and Service
3.7 Date of Enter into Forest Wildfire Detection System Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Forest Wildfire Detection System Breakdown Data by Type
4.1 Global Forest Wildfire Detection System Historic Market Size by Type (2018-2023)
4.2 Global Forest Wildfire Detection System Forecasted Market Size by Type (2024-2029)
5 Forest Wildfire Detection System Breakdown Data by Application
5.1 Global Forest Wildfire Detection System Historic Market Size by Application (2018-2023)
5.2 Global Forest Wildfire Detection System Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Forest Wildfire Detection System Market Size (2018-2029)
6.2 North America Forest Wildfire Detection System Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Forest Wildfire Detection System Market Size by Country (2018-2023)
6.4 North America Forest Wildfire Detection System Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Forest Wildfire Detection System Market Size (2018-2029)
7.2 Europe Forest Wildfire Detection System Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Forest Wildfire Detection System Market Size by Country (2018-2023)
7.4 Europe Forest Wildfire Detection System Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Forest Wildfire Detection System Market Size (2018-2029)
8.2 Asia-Pacific Forest Wildfire Detection System Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Forest Wildfire Detection System Market Size by Region (2018-2023)
8.4 Asia-Pacific Forest Wildfire Detection System Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Forest Wildfire Detection System Market Size (2018-2029)
9.2 Latin America Forest Wildfire Detection System Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Forest Wildfire Detection System Market Size by Country (2018-2023)
9.4 Latin America Forest Wildfire Detection System Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Forest Wildfire Detection System Market Size (2018-2029)
10.2 Middle East & Africa Forest Wildfire Detection System Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Forest Wildfire Detection System Market Size by Country (2018-2023)
10.4 Middle East & Africa Forest Wildfire Detection System Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Qingdao Haohai Network Technology
11.1.1 Qingdao Haohai Network Technology Company Detail
11.1.2 Qingdao Haohai Network Technology Business Overview
11.1.3 Qingdao Haohai Network Technology Forest Wildfire Detection System Introduction
11.1.4 Qingdao Haohai Network Technology Revenue in Forest Wildfire Detection System Business (2018-2023)
11.1.5 Qingdao Haohai Network Technology Recent Development
11.2 Continental
11.2.1 Continental Company Detail
11.2.2 Continental Business Overview
11.2.3 Continental Forest Wildfire Detection System Introduction
11.2.4 Continental Revenue in Forest Wildfire Detection System Business (2018-2023)
11.2.5 Continental Recent Development
11.3 Indra
11.3.1 Indra Company Detail
11.3.2 Indra Business Overview
11.3.3 Indra Forest Wildfire Detection System Introduction
11.3.4 Indra Revenue in Forest Wildfire Detection System Business (2018-2023)
11.3.5 Indra Recent Development
11.4 PARATRONIC
11.4.1 PARATRONIC Company Detail
11.4.2 PARATRONIC Business Overview
11.4.3 PARATRONIC Forest Wildfire Detection System Introduction
11.4.4 PARATRONIC Revenue in Forest Wildfire Detection System Business (2018-2023)
11.4.5 PARATRONIC Recent Development
11.5 Jiangxi Huayu Software
11.5.1 Jiangxi Huayu Software Company Detail
11.5.2 Jiangxi Huayu Software Business Overview
11.5.3 Jiangxi Huayu Software Forest Wildfire Detection System Introduction
11.5.4 Jiangxi Huayu Software Revenue in Forest Wildfire Detection System Business (2018-2023)
11.5.5 Jiangxi Huayu Software Recent Development
11.6 IQ Wireless
11.6.1 IQ Wireless Company Detail
11.6.2 IQ Wireless Business Overview
11.6.3 IQ Wireless Forest Wildfire Detection System Introduction
11.6.4 IQ Wireless Revenue in Forest Wildfire Detection System Business (2018-2023)
11.6.5 IQ Wireless Recent Development
11.7 Insight Robotics
11.7.1 Insight Robotics Company Detail
11.7.2 Insight Robotics Business Overview
11.7.3 Insight Robotics Forest Wildfire Detection System Introduction
11.7.4 Insight Robotics Revenue in Forest Wildfire Detection System Business (2018-2023)
11.7.5 Insight Robotics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Qingdao Haohai Network Technology
Continental
Indra
PARATRONIC
Jiangxi Huayu Software
IQ Wireless
Insight Robotics

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.