| ◆英語タイトル：Global Natural Disaster Detection IoT Market Size study & Forecast, by Component (Hardware, Solution, Service), by Application (Flood detection, Draught Detection, Wildfire detection, Landslide detection, Other), by Communication System (First Responder tools, Satellite Assisted Equipment, Vehicle Ready gateways, Emergency Response Radars), by End-User (Government Organisation, Private companies, Law enforcement agencies, Rescue Personnel) and Regional Analysis, 2022-2029
|
 | ◆商品コード：BZW23MA025
◆発行会社（リサーチ会社）：Bizwit Research & Consulting
◆発行日：2023年4月17日
◆ページ数：約200
◆レポート形式：英語 / PDF
◆納品方法：Eメール（受注後3営業日）
◆調査対象地域：アメリカ、カナダ、イギリス、ドイツ、フランス、スペイン、イタリア、中国、インド、日本、オーストラリア、韓国、ブラジル、メキシコ、中東
◆産業分野：電子
|
◆販売価格オプション
（消費税別）
※
販売価格オプションの説明はこちらで、
ご利用ガイドはこちらでご確認いただけます。
※お支払金額は「換算金額（日本円）＋消費税＋配送料（Eメール納品は無料）」です。
※Eメールによる納品の場合、通常ご注文当日～2日以内に納品致します。
※レポート納品後、納品日＋5日以内に請求書を発行・送付致します。（請求書発行日より2ヶ月以内の銀行振込条件、カード払いに変更可）
※上記の日本語題名はH&Iグローバルリサーチが翻訳したものです。英語版原本には日本語表記はありません。
※為替レートは適宜修正・更新しております。リアルタイム更新ではありません。
ビズウィットリサーチ社の本調査レポートでは、2021年に3億ドルであった世界の自然災害検知IoT市場規模が、2022年〜2029年の間に年平均36%で拡大すると推測しています。本レポートは、自然災害検知IoTの世界市場について徹底的に調査を行い、エグゼクティブサマリー、市場定義・範囲、市場動向、産業分析、リスク分析（新型コロナウイルス感染症の影響）、コンポーネント別（ハードウェア、ソリューション、サービス）分析、用途別（洪水検知、ドラフト検知、野火検知、地すべり検知、その他）分析、通信装置別（ファーストレスポンダー用品、衛星アシスト装置、ビークルレディゲートウェイ、緊急対応レーダー）分析、エンドユーザー別（政府機関、民間企業、法執行機関、レスキュー隊）分析、地域別（北米、ヨーロッパ、アジア太平洋、中南米、その他地域）分析、競争分析、調査プロセスなど、以下の構成でまとめています。また、本書は、Nec Corporation、Blackberry、Semtech、Sony、Nokia 、SAP 、Intel 、Green Stream Technologies、Earth Networks、Responscity Systemsなどの企業情報を含んでいます。
・エグゼクティブサマリー
・市場定義・範囲
・市場動向
・産業分析
・リスク分析（新型コロナウイルス感染症の影響）
・世界の自然災害検知IoT市場規模：コンポーネント別
- ハードウェアの市場規模
- ソリューションの市場規模
- サービスの市場規模
・世界の自然災害検知IoT市場規模：用途別
- 洪水検知における市場規模
- ドラフト検知における市場規模
- 野火検知における市場規模
- 地すべり検知における市場規模
- その他における市場規模
・世界の自然災害検知IoT市場規模：通信装置別
- ファーストレスポンダー用品の市場規模
- 衛星アシスト装置の市場規模
- ビークルレディゲートウェイの市場規模
- 緊急対応レーダーの市場規模
・世界の自然災害検知IoT市場規模：エンドユーザー別
- 政府機関における市場規模
- 民間企業における市場規模
- 法執行機関における市場規模
- レスキュー隊における市場規模
・世界の自然災害検知IoT市場規模：地域別
- 北米の自然災害検知IoT市場規模
- ヨーロッパの自然災害検知IoT市場規模
- アジア太平洋の自然災害検知IoT市場規模
- 中南米の自然災害検知IoT市場規模
- その他地域の自然災害検知IoT市場規模
・競争分析
・調査プロセス |
Global Natural Disaster Detection IoT Market is valued at approximately USD 0.3 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 36.0% over the forecast period 2022-2029. Sensors that monitor factors such as volcanic activity, water levels, and barometric pressure gather data in close to real time using IoT devices. The sensors give early warnings for wildfires, tornadoes, volcanic activities, cloudbursts, and earthquakes. Additionally, any infrastructure, including critical infrastructure, can be protected through predictive maintenance. The Natural Disaster Detection IoT market is expanding because of factors such as use of IoT devices and sensors to predict disasters in advance, increasing government initiatives to use IoT in emergency planning, and reduction in damage and economic loss with disaster warnings.
The market is growing as a result of an increase in government initiatives to use IoT technology to handle natural disasters. To assist state, municipal, tribal, and territorial governments in responding to and recovering from catastrophic emergencies or disasters, the American Rescue Plan Act of 2021, for one, allots $50 billion to the Federal Emergency Management Agency’s Disaster Relief Fund. In the event that a natural disaster does strike, the combination of IoT-enabled analytics, devices, and networks will speed up intelligent decision-making and enhance total reaction times. National Centers for Environmental Information also claims that there were 18 weather/climate crisis incidents in 2022 that caused the United States to sustain losses of at least $1 billion apiece. Thus high cost of loss in the region is catering to the adoption of IoT technology in natural disaster management. Moreover, growing adoption of satellite remote sensing and GIS for disaster risk minimization and prevention and predictive analysis with AI and data analytics tools is creating lucrative growth opportunities in the market. However, vulnerabilities of IoT devices and inaccurate data entering AI systems stifle market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Natural Disaster Detection IoT Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the dominance of preparedness for natural disasters with satellite IoT and rising government support. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising government support, and use of seismic monitoring and early warning system for natural disaster detection.
Major market players included in this report are:
Nec Corporation
Blackberry
Semtech
Sony
Nokia
SAP
Intel
Green Stream Technologies
Earth Networks
Responscity Systems
Recent Developments in the Market:
In February 2022, a collaboration agreement between NEC and the City of Kawasaki in the Kanagawa Prefecture was formed addressing their cooperation and partnership in disaster-proof urban development based on digital technology. A Japanese municipality had never before taken such an unusual action.
In September 2022, an agreement was signed between Semtech and Sierra Wireless to build a comprehensive IoT platform and facilitate the transition to a smarter, more sustainable world.
Global Natural Disaster Detection IoT Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Application, Communication System, End-User, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Component offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Hardware
Solution
Software
By Application:
Flood Detection
Drought Detection
Wildfire Detection
Landslide Detection
Other
By Communication System:
First Responder Tools
Satellite-Assisted Equipment
Vehicle-Ready Gateways
Emergency Response Radars
By End-User:
Government Organizations
Private Companies
Law Enforcement Agencies
Rescue Personnel
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Natural Disaster Detection IoT Market, by Region, 2019-2029 (USD Billion)
1.2.2. Natural Disaster Detection IoT Market, by Component, 2019-2029 (USD Billion)
1.2.3. Natural Disaster Detection IoT Market, by Application, 2019-2029 (USD Billion)
1.2.4. Natural Disaster Detection IoT Market, by Communication System, 2019-2029 (USD Billion)
1.2.5. Natural Disaster Detection IoT Market, by End-User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Natural Disaster Detection IoT Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Natural Disaster Detection IoT Market Dynamics
3.1. Natural Disaster Detection IoT Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Use of IoT devices and sensors to predict disasters in advance
3.1.1.2. Increasing government initiatives to use IoT in emergency planning
3.1.1.3. Reduction in damage and economic loss with disaster warnings
3.1.2. Market Challenges
3.1.2.1. Vulnerabilities of IoT devices
3.1.2.2. Inaccurate data entering AI system
3.1.3. Market Opportunities
3.1.3.1. Growing adoption of satellite remote sensing and GIS for disaster risk minimization and prevention
3.1.3.2. Predictive analysis with AI and data analytics tools
Chapter 4. Global Natural Disaster Detection IoT Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Natural Disaster Detection IoT Market, by Component
6.1. Market Snapshot
6.2. Global Natural Disaster Detection IoT Market by Component, Performance – Potential Analysis
6.3. Global Natural Disaster Detection IoT Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Natural Disaster Detection IoT Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Solution
6.4.3. Services
Chapter 7. Global Natural Disaster Detection IoT Market, by Application
7.1. Market Snapshot
7.2. Global Natural Disaster Detection IoT Market by Application, Performance – Potential Analysis
7.3. Global Natural Disaster Detection IoT Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
7.4. Natural Disaster Detection IoT Market, Sub Segment Analysis
7.4.1. Flood detection
7.4.2. Draught Detection
7.4.3. Wildfire detection
7.4.4. Landslide detection
7.4.5. Other
Chapter 8. Global Natural Disaster Detection IoT Market, by Communication System
8.1. Market Snapshot
8.2. Global Natural Disaster Detection IoT Market by Communication System, Performance – Potential Analysis
8.3. Global Natural Disaster Detection IoT Market Estimates & Forecasts by Communication System 2019-2029 (USD Billion)
8.4. Natural Disaster Detection IoT Market, Sub Segment Analysis
8.4.1. First Responder tools
8.4.2. Satellite Assisted Equipment
8.4.3. Vehicle Ready gateways
8.4.4. Emergency Response Radars
Chapter 9. Global Natural Disaster Detection IoT Market, by End-User
9.1. Market Snapshot
9.2. Global Natural Disaster Detection IoT Market by End-User, Performance – Potential Analysis
9.3. Global Natural Disaster Detection IoT Market Estimates & Forecasts by End-User 2019-2029 (USD Billion)
9.4. Natural Disaster Detection IoT Market, Sub Segment Analysis
9.4.1. Government Organisation
9.4.2. Private companies
9.4.3. Law enforcement agencies
9.4.4. Rescue Personnel
Chapter 10. Global Natural Disaster Detection IoT Market, Regional Analysis
10.1. Natural Disaster Detection IoT Market, Regional Market Snapshot
10.2. North America Natural Disaster Detection IoT Market
10.2.1. U.S. Natural Disaster Detection IoT Market
10.2.1.1. Component breakdown estimates & forecasts, 2019-2029
10.2.1.2. Application breakdown estimates & forecasts, 2019-2029
10.2.1.3. Communication System breakdown estimates & forecasts, 2019-2029
10.2.1.4. End-User breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Natural Disaster Detection IoT Market
10.3. Europe Natural Disaster Detection IoT Market Snapshot
10.3.1. U.K. Natural Disaster Detection IoT Market
10.3.2. Germany Natural Disaster Detection IoT Market
10.3.3. France Natural Disaster Detection IoT Market
10.3.4. Spain Natural Disaster Detection IoT Market
10.3.5. Italy Natural Disaster Detection IoT Market
10.3.6. Rest of Europe Natural Disaster Detection IoT Market
10.4. Asia-Pacific Natural Disaster Detection IoT Market Snapshot
10.4.1. China Natural Disaster Detection IoT Market
10.4.2. India Natural Disaster Detection IoT Market
10.4.3. Japan Natural Disaster Detection IoT Market
10.4.4. Australia Natural Disaster Detection IoT Market
10.4.5. South Korea Natural Disaster Detection IoT Market
10.4.6. Rest of Asia Pacific Natural Disaster Detection IoT Market
10.5. Latin America Natural Disaster Detection IoT Market Snapshot
10.5.1. Brazil Natural Disaster Detection IoT Market
10.5.2. Mexico Natural Disaster Detection IoT Market
10.5.3. Rest of Latin America Natural Disaster Detection IoT Market
10.6. Rest of The World Natural Disaster Detection IoT Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Nec Corporation
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Blackberry
11.2.3. Semtech
11.2.4. Sony
11.2.5. Nokia
11.2.6. SAP
11.2.7. Intel
11.2.8. Green Stream Technologies
11.2.9. Earth Networks
11.2.10. Responscity Systems
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption
❖ 免責事項 ❖http://www.globalresearch.jp/disclaimer
