自然災害検知IoT市場：コンポーネント、テクノロジー、アプリケーション、エンドユーザー別- 世界予測2024-2030年

自然災害検知IoT市場規模は2023年に66億8,000万米ドルと推計され、2024年には84億5,000万米ドルに達し、CAGR 27.85%で2030年には373億2,000万米ドルに達すると予測されます。

モノのインターネット（IoT）を利用した自然災害検知とは、自然災害を検知、監視、対応するためのデータを収集・送信するために、相互接続されたセンサー付きデバイスを応用することを指します。これらのIoT機器は、地震、津波、ハリケーン、洪水、山火事などの自然災害の影響を受けやすい地域に配備され、早期警報と迅速な対応に不可欠なデータをリアルタイムで提供します。自然災害検知IoT市場の成長は、センサーや機械間通信の技術進歩、気候変動による自然災害の世界の多発化、脆弱地域の都市化、災害対策インフラへの政府投資などの影響を受けています。さらに、予測分析のための人工知能（AI）と機械学習（ML）の統合や、IoTプラットフォームにおけるクラウドコンピューティングの採用拡大が需要をさらに刺激しています。しかし、IoTインフラの初期設定コストの高さ、センサーや機器の保守・更新、データのプライバシーやセキュリティへの懸念、異なる技術間での標準化の必要性など、いくつかの制限や課題が市場の成長を妨げています。さらに、IoTインフラの拡張、リアルタイム警報のための堅牢で低遅延の通信ネットワークの構築、AI主導の予測モデルの開発は、災害事象を正確に予測する現在の機会です。また、コミュニティの回復力を強化するための官民パートナーシップや、より発生源に近いところでデータを処理するためのエッジコンピューティングの展開も、対応時間を早める可能性が拡大しています。さらに、リアルタイムのデータ分析の精度を高めるための研究開発、進化する脅威シナリオに対応する適応学習システムの構築、災害発生時の安全で信頼性の高いデータ共有のためのブロックチェーン技術の探求に、より一層注力することが期待されます。技術導入に関する一般市民の意識向上と教育プログラムの推進は、市場の浸透と拡大をさらに促進する可能性があります。

コンポーネント24時間365日の監視、リアルタイムのアップデート、自然災害の自動アラートなど、ハードウェアへの依存度が高まる

自然災害検知IoTハードウェアには、IoTセンサー、アクチュエーター、コンピューターチップ、ケーブル、スマートデバイスなどの有形コンポーネントやデバイスが含まれ、接続を可能にし、環境変化を検知するために採用されます。複雑なアルゴリズムと長期的な情報保持に必要な処理能力とデータアーカイブ機能を提供します。データ伝送装置は、センサーと中央データセンター間のシームレスな接続と通信を確保し、情報の迅速な中継を容易にします。電力供給とエネルギー貯蔵システムは、特に自然災害の影響を受ける遠隔地や電力不足の地域での安定した運用に不可欠です。センサーと検知器は、潜在的な災害を示す環境データと信号を捕捉する任務を担う最前線のコンポーネントであり、ユーザー・インターフェースと通知システムは、情報へのアクセスを民主化し、利害関係者と一般市民へのタイムリーな警告と警報を可能にし、迅速な行動を促します。

自然災害検知IoT市場は、潜在的なリスクを迅速に監視し、ユーザーに警告するサービスを提供しています。これらのサービスには一般的に、24時間365日のモニタリング、リアルタイム更新、自動アラート、ビジュアル・ダッシュボードが含まれ、今後発生する自然災害の状況に関連する経路や状況をリアルタイムで追跡するのに役立ちます。ソフトウェア・ソリューションは、一般に、コマンド・センターにアラートを送信する集中検出システムを提供します。自然災害検知IoTソフトウェアは、人工知能や機械学習などの先進技術を統合することで、より正確な結果を提供することができます。自然災害管理当局は、特定の地域にセンサーデバイス、マイクロコントローラー、環境状態を検知・分析するさまざまなソフトウェアアプリケーションを装備することで、より優れた管理を実現できます。通信＆ネットワーキング・ソフトウェアは、センサー・データを送信するための堅牢なチャネルを確立し、さまざまなデバイスやプラットフォーム間の相互運用性を確保することで、危機発生時のリアルタイムの警報や調整を可能にします。データ分析・管理ソフトウェアは、膨大な量の環境データを処理し、高度なアルゴリズムを使用してパターンを検出し、事象を予測し、意思決定をサポートすることで、対応時間を短縮し、誤報を減らします。地理情報システム（GIS）ソフトウェアは、データを地図上に視覚的に表現し、計画、リスク評価、効率的な避難戦略の実行に不可欠な、地形、人口、インフラに関する情報のレイヤーを統合します。

テクノロジー：自然災害の理解を深めるための人工知能（AI）の採用増加

高度なコンピューティングとビッグデータ分析は、膨大な量の環境データを処理する上で極めて重要です。これらの技術は、センサーデータや気象パターンを解釈し、自然災害の影響を未然に防ぐための予測的洞察を提供する上で極めて重要です。ハイパフォーマンス・コンピューティング・システムは、IoTネットワークからの膨大なデータのスループットを管理することができ、これはほぼリアルタイムの分析に不可欠です。人工知能（AI）と機械学習（ML）技術は、システムが過去のデータを理解し、時間の経過とともに予測を改善することを可能にすることで、自然災害検知の分野に革命をもたらしています。人工知能や機械学習（ML）技術は、通常、自然災害に先行するパターンを特定することで災害予測を支援し、リスクを軽減するための実用的な洞察を当局に提供することができます。IoTは、センサーから分析が行われるサーバーにデータを送信するために、モバイル技術と通信技術に広く依存しています。これらの技術は、最も悪条件下でもシームレスな情報の流れを確保するために不可欠です。人工衛星、携帯電話ネットワーク、5Gを含む無線通信システムはすべて、リアルタイムのデータ伝送を可能にするこのインフラの一部です。

アプリケーション過酷な気象条件を検知するために普及が進む

IoTベースのリアルタイム地震検知システムは、地方レベル、国レベル、世界レベルで使用できます。地震検知システムはすべての都市に配備することができ、すべての地震検知装置はIoTプラットフォームを利用してリアルタイムで監視することができます。新興のIoTベースの自動洪水検知・防止システムは、自然災害管理当局による継続的な監視と警報の提供に利用されています。同様に、これらのIoTベースのシステムは、極端な干ばつの状況を監視するために使用されます。火災警報システムのIoT技術は、温度、炎、煙のセンサーを使用して火災事例を検出し、遠隔地でも早期対応のための警報を提供します。気象状況を継続的に監視し、それに応じて更新する数年来の気象監視技術は、IoT技術の統合によって強化されています。地滑りのリアルタイム監視は、重要かつ緊急な対応のために無線センサーネットワークで監視することもできる、課題となっている調査分野の1つです。

エンドユーザー：迅速で効果的な対応のための自然災害検知IoTシステムへの政府からの投資の増加

政府機関は、迅速かつ効果的な対応のために、この自然災害検知IoTシステムを使用しています。政府は、新しい気象監視技術への投資を増やし、自然条件を追跡しています。法執行機関は、主に避難計画、災害後のフォレンジック分析、緊急時の治安維持などの災害検知にIoTシステムを活用しています。彼らの要件は、機動性、迅速な展開能力、安全な通信チャネルに重点を置くことが多いです。非公開会社は、資産を保護し、規制を遵守し、従業員の安全を確保するために自然災害検知IoTシステムを使用することがあります。このような企業は、コスト効率に優れ、自社の業務プロセスに簡単に統合できるソリューションを求めています。消防士や救急隊員などのレスキュー隊員は、ポータブルで耐久性があり、使いやすいIoTソリューションを必要としています。彼らは、救助活動中に被災者の位置を特定し、構造物の完全性を評価し、環境状態をリアルタイムで監視するのに役立つ機器を優先しています。

地域別の洞察

アジア太平洋地域では、日本の地震、東南アジアの津波、インドのサイクロンなど自然災害の発生が増加しており、自然災害検知におけるIoTソリューションに対する消費者の需要が高まっています。日本は、早期警報のためにIoTと地震計の高度な組み合わせを戦略的に活用しています。この地域では、先進的なセンサー技術と通信に関する特許が急増しており、中国が研究開発投資の最前線にあります。南北アメリカはハリケーン、竜巻、山火事への対応に注力しており、米国企業はスマートホームとシームレスに融合し、リアルタイムのアラートを提供する災害検知兼軽減IoTツールの限界に課題しています。カナダは、その多様な気候のために課題に直面しており、山火事や洪水への対応に合わせたIoTに力を注いでいます。米国FEMA（連邦緊急事態管理庁）の統合公共警報システムは、広範な災害警報にIoTを活用する政府投資の典型です。さらに、EMEA地域の対応は、その多様な地域と気候条件によって形成されており、技術投資は科学的厳密さと持続可能性を順守しています。中東では砂漠化対策に注力し、砂嵐の予測や水不足の管理のためにIoTに投資しているが、これはこの地域が乾燥した気候に適応していることを反映しています。アフリカでは、干ばつ、洪水、イナゴの大群に対処するため、手頃な価格で配備可能なIoTシステムに焦点が当てられており、IoTを含む災害リスク軽減技術を支援するアフリカ連合のアフリカ災害リスク資金調達プログラムが脚光を浴びています。

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは自然災害検知IoT市場を評価する上で極めて重要です。事業戦略や製品満足度に関連する主要指標を調査し、ベンダーの包括的な評価を提供します。この綿密な分析により、ユーザーは各自の要件に沿った十分な情報に基づいた意思決定を行うことができます。評価に基づき、ベンダーは成功の度合いが異なる4つの象限に分類されます：フォアフロント（F）、パスファインダー（P）、ニッチ（N）、バイタル（V）です。

市場シェア分析

市場シェア分析は、自然災害検知IoT市場におけるベンダーの現状について、洞察に満ちた詳細な調査を提供する包括的なツールです。全体的な収益、顧客基盤、その他の主要指標についてベンダーの貢献度を綿密に比較・分析することで、企業の業績や市場シェア争いの際に直面する課題について理解を深めることができます。さらに、この分析により、調査対象基準年に観察された累積、断片化の優位性、合併の特徴などの要因を含む、この分野の競合特性に関する貴重な考察が得られます。このような詳細レベルの拡大により、ベンダーはより多くの情報に基づいた意思決定を行い、市場で競争優位に立つための効果的な戦略を考案することができます。

本レポートは、以下の側面に関する貴重な洞察を提供しています：

1.市場の浸透度：主要企業が提供する市場に関する包括的な情報を提示しています。

2.市場の開拓度：有利な新興市場を深く掘り下げ、成熟市場セグメントにおける浸透度を分析しています。

3.市場の多様化：新製品の発売、未開拓の地域、最近の開発、投資に関する詳細な情報を提供します。

4.競合の評価と情報：市場シェア、戦略、製品、認証、規制状況、特許状況、主要企業の製造能力について徹底的な評価を行います。

5.製品開発およびイノベーション：将来の技術、研究開発活動、画期的な製品開発に関する知的洞察を提供します。

本レポートは、以下のような主要な質問に対応しています：

1.自然災害検知IoT市場の市場規模および予測は？

2.自然災害検知IoT市場の予測期間中に投資を検討すべき製品、セグメント、用途、分野は何か？

3.自然災害検知IoT市場の技術動向と規制枠組みは？

4.自然災害検知IoT市場における主要ベンダーの市場シェアは？

5.自然災害検知IoT市場への参入に適した形態や戦略的手段は？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 気候変動による自然災害の頻度と深刻度の増加

地球温暖化

• 建物や建設現場への被害を最小限に抑えるための早期警報システムの必要性
• 防災のためのIoT対応地理情報システムの導入が急増
• 抑制要因
  • 自然災害検知IoTの導入とメンテナンスにかかるコストが高い
• 機会
  • 自然災害に関するリアルタイムデータを収集するIoTとセンシング技術の進歩
  • 自然災害管理に関する政府の取り組みと投資
• 課題
  • 標準化が不十分で、正確な検出と予測が困難
• 市場セグメンテーション分析
  • コンポーネント：24時間365日の監視、リアルタイム更新、自然災害の自動アラートのためのハードウェアへの依存度が高まっている
  • テクノロジー：自然災害の理解を深めるために人工知能（AI）の導入を拡大
  • 用途：厳しい気象条件を検知するための普及拡大
  • エンドユーザー：迅速かつ効果的な対応のために、政府による自然災害検知IoTシステムへの投資を増やす
• 市場動向分析
  • 強力で高度に発達した技術的枠組みの存在と、積極的な災害管理および予防ソリューションの必要性に対する認識
  • アジア太平洋地域における災害リスク軽減のためのIoT導入に向けた災害への備えと国際的実践の評価および政策改善の提言の強化
  • 支援的な規制枠組みを通じて災害リスク軽減と回復力を強化する政府の政策と資金提供により、EMEAにおけるイノベーションを奨励する
• 高インフレの累積的影響
• ポーターのファイブフォース分析
• バリューチェーンとクリティカルパス分析
• 規制枠組みの分析
• 顧客のカスタマイズ
  • 自然災害検知 IoT：太平洋諸島の動向と調査結果

第6章 自然災害検知IoT市場：コンポーネント別

• ハードウェア
• サービス
• ソフトウェア

第7章 自然災害検知IoT市場：技術別

• 高度なコンピューティングとビッグデータ分析
• 人工知能と機械学習
• モバイルおよび通信技術

第8章 自然災害検知IoT市場：用途別

• 干ばつの検知と管理
• 地震管理
• 洪水監視と管理
• 森林火災管理
• 地滑りの検出と管理
• 気象監視

第9章 自然災害検知IoT市場：エンドユーザー別

• 政府機関
• 法執行機関
• 非公開会社
• 救助隊員

第10章 南北アメリカの自然災害検知IoT市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第11章 アジア太平洋地域の自然災害検知IoT市場

• オーストラリア
• バングラデシュ
• 中国
• フィジー
• インド
• インドネシア
• 日本
• マレーシア
• パキスタン
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第12章 欧州・中東・アフリカの自然災害検知IoT市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第13章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス、2023
• 競合シナリオ分析
  • SAP SEとZynas Corporationが大分大学と連携し、緊急対応コラボレーションツールを展開
  • IBM、気候課題に対処するために地理空間AIを進化させる
  • 自然災害を検知するために開発されたドローンとAIシステム
  • タックワンとインフィニオン、正確な計測を可能にする手のひらサイズの洪水モニターを開発
  • PNNLの研究者がAIを活用して災害対応と復旧を支援
  • NEC、大規模言語モデル（LLM）と画像解析を活用した災害被害評価技術を開発
  • UCLAの地質学者は人工知能を使って地滑りを予測している
  • 富士通とヘキサゴンのデジタルツイン技術が災害予測と交通安全管理を支援
  • NASAパートナーシップが画期的な世界的洪水早期警報技術を発表
  • 緊急対応者向けビッグデータプラットフォーム「RapidSOS」が7,500万米ドルを調達
  • 中国移動、エリクソン、パートナーは中国全土に5G自然災害管理ソリューションを展開することを目指す
  • AiDash、自然災害や異常気象を管理する新たな気候リスク情報システムを発表

第14章 競合ポートフォリオ

• 主要企業プロファイル
• 主要製品ポートフォリオ

LIST OF FIGURES

• FIGURE 1. NATURAL DISASTER DETECTION IOT MARKET RESEARCH PROCESS
• FIGURE 2. NATURAL DISASTER DETECTION IOT MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, 2018-2030 (USD THOUSAND)
• FIGURE 4. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2023 VS 2030 (%)
• FIGURE 5. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 6. NATURAL DISASTER DETECTION IOT MARKET DYNAMICS
• FIGURE 7. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 8. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 9. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 10. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 11. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 12. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 13. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
• FIGURE 14. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 15. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 16. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 17. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 18. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 19. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 20. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 21. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 22. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD THOUSAND)
• FIGURE 23. NATURAL DISASTER DETECTION IOT MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 24. NATURAL DISASTER DETECTION IOT MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. NATURAL DISASTER DETECTION IOT MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, 2018-2023 (USD THOUSAND)
• TABLE 4. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, 2024-2030 (USD THOUSAND)
• TABLE 5. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 6. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 7. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 8. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 9. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 10. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 11. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 12. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 13. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPUTATIONAL & STORAGE DEVICES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 14. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPUTATIONAL & STORAGE DEVICES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 15. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DATA TRANSMISSION DEVICES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 16. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DATA TRANSMISSION DEVICES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 17. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY POWER SUPPLY & ENERGY STORAGE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 18. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY POWER SUPPLY & ENERGY STORAGE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 19. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SENSORS & DETECTORS, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 20. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SENSORS & DETECTORS, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 21. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY USER INTERFACE & NOTIFICATION SYSTEMS, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 22. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY USER INTERFACE & NOTIFICATION SYSTEMS, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 23. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SERVICES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 24. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SERVICES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 25. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 26. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 27. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 28. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 29. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMMUNICATION & NETWORKING SOFTWARE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 30. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMMUNICATION & NETWORKING SOFTWARE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 31. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DATA ANALYSIS & MANAGEMENT SOFTWARE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 32. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DATA ANALYSIS & MANAGEMENT SOFTWARE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 33. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY GEOGRAPHIC INFORMATION SYSTEM (GIS) SOFTWARE, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 34. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY GEOGRAPHIC INFORMATION SYSTEM (GIS) SOFTWARE, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 35. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 36. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 37. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY ADVANCED COMPUTING & BIG DATA ANALYTICS, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 38. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY ADVANCED COMPUTING & BIG DATA ANALYTICS, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 39. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY ARTIFICIAL INTELLIGENCE & MACHINE LEARNING, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 40. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY ARTIFICIAL INTELLIGENCE & MACHINE LEARNING, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 41. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY MOBILE & COMMUNICATION TECHNOLOGIES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 42. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY MOBILE & COMMUNICATION TECHNOLOGIES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 43. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 44. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 45. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DROUGHT DETECTION & MANAGEMENT, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 46. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY DROUGHT DETECTION & MANAGEMENT, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 47. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY EARTHQUAKE MANAGEMENT, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 48. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY EARTHQUAKE MANAGEMENT, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 49. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY FLOOD MONITORING & MANAGEMENT, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 50. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY FLOOD MONITORING & MANAGEMENT, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 51. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY FOREST FIRE MANAGEMENT, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 52. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY FOREST FIRE MANAGEMENT, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 53. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY LANDSLIDE DETECTION & MANAGEMENT, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 54. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY LANDSLIDE DETECTION & MANAGEMENT, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 55. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY WEATHER MONITORING, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 56. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY WEATHER MONITORING, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 57. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 58. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 59. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY GOVERNMENT ORGANIZATIONS, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 60. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY GOVERNMENT ORGANIZATIONS, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 61. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY LAW ENFORCEMENT AGENCIES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 62. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY LAW ENFORCEMENT AGENCIES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 63. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY PRIVATE COMPANIES, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 64. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY PRIVATE COMPANIES, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 65. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY RESCUE PERSONNEL, BY REGION, 2018-2023 (USD THOUSAND)
• TABLE 66. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY RESCUE PERSONNEL, BY REGION, 2024-2030 (USD THOUSAND)
• TABLE 67. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 68. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 69. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 70. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 71. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 72. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 73. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 74. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 75. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 76. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 77. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 78. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 79. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2018-2023 (USD THOUSAND)
• TABLE 80. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024-2030 (USD THOUSAND)
• TABLE 81. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 82. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 83. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 84. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 85. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 86. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 87. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 88. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 89. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 90. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 91. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 92. ARGENTINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 93. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 94. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 95. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 96. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 97. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 98. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 99. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 100. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 101. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 102. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 103. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 104. BRAZIL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 105. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 106. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 107. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 108. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 109. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 110. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 111. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 112. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 113. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 114. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 115. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 116. CANADA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 117. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 118. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 119. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 120. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 121. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 122. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 123. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 124. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 125. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 126. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 127. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 128. MEXICO NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 129. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 130. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 131. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 132. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 133. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 134. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 135. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 136. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 137. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 138. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 139. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 140. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 141. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2018-2023 (USD THOUSAND)
• TABLE 142. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2024-2030 (USD THOUSAND)
• TABLE 143. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 144. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 145. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 146. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 147. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 148. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 149. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 150. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 151. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 152. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 153. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 154. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 155. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2018-2023 (USD THOUSAND)
• TABLE 156. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024-2030 (USD THOUSAND)
• TABLE 157. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 158. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 159. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 160. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 161. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 162. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 163. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 164. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 165. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 166. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 167. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 168. AUSTRALIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 169. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 170. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 171. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 172. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 173. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 174. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 175. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 176. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 177. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 178. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 179. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 180. BANGLADESH NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 181. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 182. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 183. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 184. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 185. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 186. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 187. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 188. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 189. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 190. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 191. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 192. CHINA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 193. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 194. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 195. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 196. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 197. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 198. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 199. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 200. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 201. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 202. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 203. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 204. FIJI NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 205. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 206. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 207. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 208. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 209. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 210. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 211. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 212. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 213. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 214. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 215. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 216. INDIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 217. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 218. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 219. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 220. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 221. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 222. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 223. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 224. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 225. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 226. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 227. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 228. INDONESIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 229. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 230. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 231. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 232. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 233. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 234. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 235. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 236. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 237. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 238. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 239. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 240. JAPAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 241. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 242. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 243. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 244. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 245. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 246. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 247. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 248. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 249. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 250. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 251. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 252. MALAYSIA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 253. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 254. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 255. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 256. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 257. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 258. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 259. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 260. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 261. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 262. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 263. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 264. PAKISTAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 265. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 266. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 267. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 268. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 269. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 270. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 271. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 272. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 273. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 274. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 275. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 276. PHILIPPINES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 277. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 278. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 279. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 280. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 281. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 282. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 283. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 284. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 285. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 286. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 287. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 288. SINGAPORE NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 289. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 290. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 291. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 292. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 293. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 294. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 295. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 296. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 297. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2018-2023 (USD THOUSAND)
• TABLE 298. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024-2030 (USD THOUSAND)
• TABLE 299. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2018-2023 (USD THOUSAND)
• TABLE 300. SOUTH KOREA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024-2030 (USD THOUSAND)
• TABLE 301. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2018-2023 (USD THOUSAND)
• TABLE 302. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024-2030 (USD THOUSAND)
• TABLE 303. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2018-2023 (USD THOUSAND)
• TABLE 304. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY HARDWARE, 2024-2030 (USD THOUSAND)
• TABLE 305. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2018-2023 (USD THOUSAND)
• TABLE 306. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY SOFTWARE, 2024-2030 (USD THOUSAND)
• TABLE 307. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2018-2023 (USD THOUSAND)
• TABLE 308. TAIWAN NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024-2030 (USD THOUSAND)
• TABLE 309. TAIWAN NATURAL D

[192 Pages Report] The Natural Disaster Detection IoT Market size was estimated at USD 6.68 billion in 2023 and expected to reach USD 8.45 billion in 2024, at a CAGR 27.85% to reach USD 37.32 billion by 2030.

Natural disaster detection using the Internet of Things (IoT) refers to the application of interconnected, sensor-equipped devices to collect and transmit data to detect, monitor, and respond to natural disasters. These IoT devices are deployed in areas susceptible to natural catastrophes such as earthquakes, tsunamis, hurricanes, floods, and wildfires, providing real-time data crucial for early warning and rapid response. Growth in the natural disaster detection IoT market is influenced by technological advancements in sensors and machine-to-machine communication, increased global prevalence of natural disasters due to climate change, urbanization in vulnerable areas, and governmental investment in disaster preparedness infrastructure. Additionally, integrating artificial intelligence (AI) and machine learning (ML) for predictive analytics and the growing adoption of cloud computing in IoT platforms further stimulate demand. However, several limitations and challenging factors include high initial set-up costs of IoT infrastructure, maintenance & updating of sensors & equipment, data privacy & security concerns, and the need for standardization across different technologies are hampering the market growth. Moreover, scaling IoT infrastructure, creating robust, low-latency communication networks for real-time alerts, and developing AI-driven predictive models are current opportunities that accurately anticipate disaster events. There is also expanding potential in public-private partnerships to enhance community resilience and the deployment of edge computing to process data closer to the source, thereby hastening response times. Furthermore, it is expected to focus more on research & development to enhance the precision of real-time data analysis, create adaptive learning systems for evolving threat scenarios, and explore blockchain technologies for secure and reliable data sharing during disaster events. Advancing public awareness and education programs on technology adoption could further drive market penetration and expansion.

Component: Increasing reliance on hardware for 24/7 monitoring, real-time updates, and automated alerts of natural disaster

Natural disaster detection IoT hardware involves the tangible components & devices, such as IoT sensors, actuators, computer chips, cables, and smart devices, employed to enable connectivity and detect environmental changes. Computational & storage devices are major in disaster detection IoT, providing the processing power and data archival capabilities required for complex algorithms and long-term information retention. Data transmission devices ensure seamless connectivity and communication between sensors and central data centers, facilitating the swift relay of information. Power supply & energy storage systems are essential for consistent operation, especially in remote or power-deficient areas impacted by natural disasters. The sensors & detectors are the frontline components, tasked with capturing environmental data and signals indicative of potential disasters, while user interface & notification systems democratize access to the information, enabling timely warnings and alerts to stakeholders and the public for prompt action.

The natural disaster detection IoT market offers services to quickly monitor and alert users of potential risks. These services commonly include 24/7 monitoring, real-time updates, automated alerts, and visual dashboards to help track pathways and conditions related to any upcoming natural disaster conditions in real-time. The software solution commonly provides centralized detection systems that send alerts to a command center. Natural disaster detection IoT software can offer more accurate results by integrating advanced technology, such as artificial intelligence and machine learning. Natural disaster management authorities can create better management by equipping a particular region with sensor devices, microcontrollers, and various software applications to detect and analyze environmental conditions. Communication & networking software establishes robust channels for transmitting sensor data and ensures interoperability among various devices and platforms, enabling real-time alerts and coordination during crises. Data analysis & management software processes the vast inflow of environmental data, using sophisticated algorithms to detect patterns, predict events, and support decision-making, enhancing response times and reducing false alarms. Geographic information system (GIS) software visually represents data on maps, integrating layers of information about terrains, populations, and infrastructure, essential for planning, risk assessment, and executing efficient evacuation strategies.

Technology: Increasing adoption of artificial intelligence (AI) to enhance understanding of natural disasters

Advanced computing and big data analytics are pivotal in processing vast amounts of environmental data. These technologies are crucial for interpreting sensor data and weather patterns and providing predictive insights to preempt the effects of natural disasters. High-performance computing systems can manage the vast throughput of data from IoT networks, which are essential for near-real-time analysis. Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of natural disaster detection by enabling systems to understand historical data and improve predictions over time. They assist in forecasting disasters by identifying patterns that usually precede natural disturbances and can provide authorities with actionable insights to mitigate the risks. IoT relies extensively on mobile and communication technologies to transmit data from sensors to the servers where analysis occurs. These technologies are essential for ensuring a seamless flow of information even in the most adverse conditions. Satellites, cellular networks, and wireless communication systems, including 5G, are all part of this infrastructure that makes real-time data transmission possible.

Application: Increasing proliferation for detecting harsh weather conditions

IoT-based real-time earthquake detector systems can be used at the provincial, national, or global levels. The earthquake detection system can be deployed in every city, and every earthquake detector device can be monitored in real time utilizing the IoT platform. The emerging IoT-based automatic flood detection & prevention systems are used to continuously monitor and provide alerts by natural disaster management authorities. Similarly, these IoT-based systems are used to monitor conditions for extreme drought. IoT technology in fire alert systems uses temperature, flame, and smoke sensors to detect cases of fire and provide alerts for early response, even in remote locations. The weather monitoring technologies present over the several years to continuously monitor the weather conditions and update accordingly, which has been enhanced with the integration of the IoT technology. Real-time monitoring of landslides is one of the challenging research areas that can also be monitored with the wireless sensor network for critical and emergency responses.

End-User: Increasing investments from governments in natural disaster detection IoT systems for quick and effective response

Government organizations use this natural disaster detection IoT system for quick and effective response. Governments are increasingly investing in new weather monitoring technologies and tracking natural conditions. Law enforcement agencies utilize IoT systems for disaster detection, mainly for evacuation planning, forensic analysis post-disaster, and maintaining public order during emergencies. Their requirements often focus on mobility, rapid deployment capabilities, and secure communication channels. Private companies may use natural disaster detection IoT systems to protect assets, comply with regulations, and ensure the safety of their personnel, focusing on site-specific needs. They are interested in cost-effective, tailored solutions that can be easily integrated with their operational processes. Rescue personnel, such as firefighters and paramedics, require portable, durable, and user-friendly IoT solutions. They prioritize equipment that aids in locating victims, assessing structural' integrity, and monitoring environmental conditions in real-time during rescue operations.

Regional Insights

The Asia-Pacific region has witnessed an uptick in natural disaster occurrences, such as earthquakes in Japan, tsunamis in Southeast Asia, and cyclones in India, spawning increased consumer demand for IoT solutions in natural disaster detection. Japan strategically utilizes a sophisticated combination of IoT and seismography for early warnings. The region shows a surge in advanced sensor technology and communication patents, with China at the forefront of R&D investments. The Americas are focused on responding to hurricanes, tornadoes, and wildfires, with American companies pushing the envelope in disaster-detection-cum-mitigation IoT tools that blend seamlessly with smart homes and provide real-time alerts. Canada, facing challenges due to its diverse climate, is channeling efforts into tailored IoT responses for wildfires and floods. The U.S. FEMA's Integrated Public Alert and Warning System typifies government investment in harnessing IoT for widespread disaster alerts. Moreover, the EMEA region's response is shaped by its diverse geography and climatic conditions, with technological investments adhering to scientific rigor and sustainability. The Middle East concentrates on combating desertification, investing in IoT to anticipate sandstorms and manage water scarcity, reflecting the region's adaptation to its dry climate. In Africa, the focus is on affordable and deployable IoT systems to cope with droughts, floods, and locust swarms, highlighted by the African Union's Africa Disaster Risk Financing Programme supporting disaster risk reduction tech, including IoT.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Natural Disaster Detection IoT Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Natural Disaster Detection IoT Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Natural Disaster Detection IoT Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Accenture PLC, ALE International SAS, Aplicaciones Tecnologicas S.A., AT&T Inc., Atos SE, BlackBerry Limited, Cisco Systems Inc., Eaton Corporation PLC, Environmental Systems Research Institute, Inc, Google LLC by Alphabet Inc., Green Stream Technologies, Inc., Grillo Holdings Inc., Hala Systems, Inc., Hitachi Ltd., InfiSIM Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Knowx Innovations Pvt. Ltd., Mitsubishi Electric Corporation, NEC Corporation, Nokia Corporation, One Concern, Inc., Optex Co., Ltd., OroraTech GmbH, Responscity Systems Private Limited, Sadeem International Company, SAP SE, Scanpoint Geomatics Ltd., Semtech Corporation, Sony Group Corporation, Telefonaktiebolaget LM Ericsson, Tractable Ltd., Trinity Mobility Private Limited, Venti LLC, and Zebra Technologies Corporation.

Market Segmentation & Coverage

This research report categorizes the Natural Disaster Detection IoT Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Component
  • Hardware
    • Computational & Storage Devices
    • Data Transmission Devices
    • Power Supply & Energy Storage
    • Sensors & Detectors
    • User Interface & Notification Systems

• Services
• Software
  • Communication & Networking Software
  • Data Analysis & Management Software
  • Geographic Information System (GIS) Software
• Technology
  • Advanced Computing & Big Data Analytics
  • Artificial Intelligence & Machine Learning
  • Mobile & Communication Technologies

• Application
  • Drought Detection & Management
  • Earthquake Management
  • Flood Monitoring & Management
  • Forest Fire Management
  • Landslide Detection & Management
  • Weather Monitoring

• End-User
  • Government Organizations
  • Law Enforcement Agencies
  • Private Companies
  • Rescue Personnel

• Region
  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • Bangladesh
    • China
    • Fiji
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Pakistan
    • Philippines
    • Singapore
    • South Korea
    • Taiwan
    • Thailand
    • Vietnam

• Europe, Middle East & Africa
  • Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Natural Disaster Detection IoT Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Natural Disaster Detection IoT Market?

3. What are the technology trends and regulatory frameworks in the Natural Disaster Detection IoT Market?

4. What is the market share of the leading vendors in the Natural Disaster Detection IoT Market?

5. Which modes and strategic moves are suitable for entering the Natural Disaster Detection IoT Market?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing frequency and severity of natural disasters with climate change

and global warming

• 5.1.1.2. Need for early warning systems to minimize damage to buildings and construction sites
• 5.1.1.3. Surge in adoption of IoT-enabled geographic information system for disaster risk prevention
• 5.1.2. Restraints
  • 5.1.2.1. High costs associated with deployment and maintenance of natural disaster detection IoT
• 5.1.3. Opportunities
  • 5.1.3.1. Advancements in IoT and sensing technology to gather real-time data on natural disasters
  • 5.1.3.2. Government initiatives and investments in natural disaster management
• 5.1.4. Challenges
  • 5.1.4.1. Lack of standardization and difficulties in accurately detecting and predicting
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Increasing reliance on hardware for 24/7 monitoring, real-time updates, and automated alerts of natural disaster
  • 5.2.2. Technology: Increasing adoption of artificial intelligence (AI) to enhance understanding of natural disasters
  • 5.2.3. Application: Increasing proliferation for detecting harsh weather conditions
  • 5.2.4. End-User: Increasing investments from governments in natural disaster detection IoT systems for quick and effective response
• 5.3. Market Trend Analysis
  • 5.3.1. Presence of a robust and highly developed technological framework and awareness of the need for proactive disaster management and prevention solutions
  • 5.3.2. Enhancing disaster preparedness and assessment of international practices and recommendations for policy improvements for IoT implementation in Disaster Risk Reduction among APAC region
  • 5.3.3. Government policies and funding for disaster risk reduction and resilience through supportive regulatory frameworks, encouraging innovation in EMEA
• 5.4. Cumulative Impact of High Inflation
• 5.5. Porter's Five Forces Analysis
  • 5.5.1. Threat of New Entrants
  • 5.5.2. Threat of Substitutes
  • 5.5.3. Bargaining Power of Customers
  • 5.5.4. Bargaining Power of Suppliers
  • 5.5.5. Industry Rivalry
• 5.6. Value Chain & Critical Path Analysis
• 5.7. Regulatory Framework Analysis
• 5.8. Client Customization
  • 5.8.1. Natural Disaster Detection IoT: Pacific Ocean Islands Trends & Findings

6. Natural Disaster Detection IoT Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Natural Disaster Detection IoT Market, by Technology

• 7.1. Introduction
• 7.2. Advanced Computing & Big Data Analytics
• 7.3. Artificial Intelligence & Machine Learning
• 7.4. Mobile & Communication Technologies

8. Natural Disaster Detection IoT Market, by Application

• 8.1. Introduction
• 8.2. Drought Detection & Management
• 8.3. Earthquake Management
• 8.4. Flood Monitoring & Management
• 8.5. Forest Fire Management
• 8.6. Landslide Detection & Management
• 8.7. Weather Monitoring

9. Natural Disaster Detection IoT Market, by End-User

• 9.1. Introduction
• 9.2. Government Organizations
• 9.3. Law Enforcement Agencies
• 9.4. Private Companies
• 9.5. Rescue Personnel

10. Americas Natural Disaster Detection IoT Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Natural Disaster Detection IoT Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. Bangladesh
• 11.4. China
• 11.5. Fiji
• 11.6. India
• 11.7. Indonesia
• 11.8. Japan
• 11.9. Malaysia
• 11.10. Pakistan
• 11.11. Philippines
• 11.12. Singapore
• 11.13. South Korea
• 11.14. Taiwan
• 11.15. Thailand
• 11.16. Vietnam

12. Europe, Middle East & Africa Natural Disaster Detection IoT Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. SAP SE and Zynas Corporation collaborate with Oita University to roll-out emergency-response collaboration tool
  • 13.3.2. IBM Advances Geospatial AI to Address Climate Challenges
  • 13.3.3. Drones and AI Systems Developed to Detect Natural Disasters
  • 13.3.4. Tack One & Infineon develop palm-sized flood monitor for delivering accurate measurements
  • 13.3.5. PNNL Researchers Using AI to Aid Disaster Response and Recovery
  • 13.3.6. NEC develops technology for disaster damage assessment using a Large Language Model (LLM) and image analysis
  • 13.3.7. UCLA Geologists are Using Artificial Intelligence to Predict Landslides
  • 13.3.8. Fujitsu and Hexagon digital twin tech aids predictive disaster and traffic safety management
  • 13.3.9. NASA Partnership Launches Groundbreaking New Global Flood Early Warning Technology
  • 13.3.10. RapidSOS, a big data platform for emergency first responders, raises USD 75 Million
  • 13.3.11. China Mobile, Ericsson and partners aim to deploy China-wide 5G natural disaster management solution
  • 13.3.12. AiDash launches new climate risk intelligence system to manage the natural disasters and extreme weather events

14. Competitive Portfolio

• 14.1. Key Company Profiles
• 14.2. Key Product Portfolio