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2025-2030年

自然災害検知IoT市場は、2024年には84億5,000万米ドルとなり、2025年には107億4,000万米ドル、CAGR 28.07%で成長し、2030年には373億2,000万米ドルに達すると予測されています。

今日のダイナミックな環境では、モノのインターネット（IoT）技術の急速な進化が、自然災害の監視と対応方法に革命をもたらしています。ますます頻発する深刻な環境事象は、正確でリアルタイムの検知システムの必要性を強調しています。IoTソリューションは、相互に接続されたセンサーやデバイスを組み合わせることで、重要なデータが生成された瞬間にそれを捕捉、処理、発信する、現代の災害管理の神経系として機能します。

この技術的パラダイムシフトは、生データを実用的なインテリジェンスに変換するのに役立ちます。革新的なシステムは、組込みセンサー、リアルタイムの通信ネットワーク、高度な分析を活用して、差し迫ったリスクを予測し、意思決定者に警告を発します。このプロアクティブなアプローチは、備えを強化するだけでなく、潜在的な人命と財産の損失を最小限に抑えます。これらのシステムが複雑化し、規模が拡大するにつれて、利害関係者は精度と応答性の向上を信頼できるようになり、より安全で強靭なインフラが構築されます。自然災害検知におけるIoTの統合は、単なる技術的なアップグレードではなく、従来の手法では実現できなかったような方法で、性能、信頼性、即時対応を調整する包括的なソリューションです。

費用対効果の高いハードウェア、堅牢な接続性、インテリジェントなソフトウェアの融合がこの変革の核心であり、一刻を争う時代にコミュニティと資源を守るために必要な洞察力を災害対応チームに確実に提供します。

自然災害検知IoT市場の変革

自然災害検知の状況は、IoT技術の急速な進歩により、大きく変化しています。かつては手作業による観測と遅延したデータ送信に大きく依存していた従来の検知方法は、比類のない精度とスピードで動作する自動化システムに取って代わられました。この進化は、政府、緊急対応チーム、民間組織がリスク軽減に取り組む方法を再構築しています。

最新のIoTプラットフォームは分散型データ処理を採用し、集中型システム特有の遅延なしにローカル・センサー・データを分析し行動することを可能にしています。新しいセンサーの進歩により、環境要因の継続的なモニタリングが可能になり、地震や洪水などのイベントにつながる微妙な変化を迅速に特定できるようになりました。クラウド・コンピューティングとエッジ・アナリティクスの統合は、意思決定能力を大幅に向上させながら、待ち時間の短縮に役立っています。

さらに、異なるデバイスやプラットフォーム間の相互運用性により、情報がシームレスに流れるエコシステムが醸成されています。この接続性により、部門を超えたチームが統合データにアクセスできるようになり、その結果、予測精度が向上し、緊急対応が迅速化されます。今日、組織は最先端技術を活用した弾力性のあるシステムに投資することで、事後対応から事前予防へと重点が移りつつあります。このような戦略的イニシアチブは、災害対策における新たなベンチマークを設定し、最終的にはより安全で効率的な公共安全の枠組みを推進しています。

主要セグメントに関する洞察

市場セグメンテーションを詳細に理解することで、自然災害検知IoTソリューションを支える複雑な構造が明らかになります。市場はまずコンポーネントに基づいて区別され、ハードウェア、サービス、ソフトウェアなどの分野が検討されます。ハードウェアでは、計算・記憶装置、データ伝送装置、電源・エネルギー貯蔵装置、センサー・検知装置、ユーザーインターフェース・通知システムに焦点が当てられ、それぞれがシステム全体のパフォーマンスに独自に寄与しています。ソフトウェア・セグメントはさらに、通信・ネットワーキング・ソフトウェア、データ分析・管理ソフトウェア、地理情報システム（GIS）ソフトウェアに分かれ、データ解釈と戦略的対応能力を強化します。

技術分野では、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、モバイルと通信技術など、重要な推進力に焦点を当てる。これらの技術革新は、最新の検知システムを形成する迅速なデータ処理とインテリジェントなアルゴリズムを支えています。アプリケーション面では、干ばつ検知・管理、地震管理、洪水監視・管理、森林火災管理、地滑り検知・管理、気象監視など、重要なニーズを網羅した市場調査が行われています。各アプリケーションは、独自の環境トリガーや危機的シナリオに対処するためにカスタマイズされたソリューションを必要とします。

最後に、エンドユーザーのセグメンテーションでは、政府機関や法執行機関から、非公開会社や救助隊員まで、これらの技術を導入する人々によって市場を区別しています。これらの多様なセグメントは、自然災害の影響を軽減するために、正確で信頼性が高く、機敏な技術的支援を必要とするエコシステムの中で相互作用しています。

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
    • 高度なIoTセンサーを使用した環境リスクと危険の監視と管理におけるリアルタイムデータ分析の需要の高まり
    • 気候変動への懸念が高まるにつれ、自然災害の事前検知に対する需要が加速しています。
    • 自然災害の迅速な検知と対応のための革新的なIoT技術に対する政府の支援と投資の増加
  • 抑制要因
    • 自然災害検知IoTソリューションでは導入コストが高く、インフラストラクチャが複雑になる
  • 機会
    • 無線センサーネットワークとクラウドコンピューティングの継続的な進歩により、大規模な自然災害の検出のためのIoTソリューションが実現しています。
    • 自然災害検知技術におけるイノベーションと投資のための官民連携の強化
  • 課題
    • 自然災害検知IoTに関連するサイバーセキュリティとデータプライバシーの懸念
• 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
  • 用途：厳しい気象条件を検知するための普及拡大
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

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
  • 計算およびストレージデバイス
  • データ伝送デバイス
  • 電源とエネルギー貯蔵
  • センサーと検出器
  • ユーザーインターフェースと通知システム
• サービス
• ソフトウェア
  • 通信およびネットワークソフトウェア
  • データ分析および管理ソフトウェア
  • 地理情報システム（GIS）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
• 地滑り検知と管理
• 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, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• 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
• Zebra Technologies Corporation

LIST OF FIGURES

• FIGURE 1. NATURAL DISASTER DETECTION IOT MARKET MULTI-CURRENCY
• FIGURE 2. NATURAL DISASTER DETECTION IOT MARKET MULTI-LANGUAGE
• FIGURE 3. NATURAL DISASTER DETECTION IOT MARKET RESEARCH PROCESS
• FIGURE 4. NATURAL DISASTER DETECTION IOT MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
• FIGURE 15. GLOBAL NATURAL DISASTER DETECTION IOT MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 17. AMERICAS NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 19. UNITED STATES NATURAL DISASTER DETECTION IOT MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 21. ASIA-PACIFIC NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 23. EUROPE, MIDDLE EAST & AFRICA NATURAL DISASTER DETECTION IOT MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 24. NATURAL DISASTER DETECTION IOT MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 25. NATURAL DISASTER DETECTION IOT MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

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

The Natural Disaster Detection IoT Market was valued at USD 8.45 billion in 2024 and is projected to grow to USD 10.74 billion in 2025, with a CAGR of 28.07%, reaching USD 37.32 billion by 2030.

In today's dynamic environment, the rapid evolution of Internet of Things (IoT) technology is revolutionizing how we monitor and respond to natural disasters. Increasingly frequent and severe environmental events have underscored the need for accurate, real-time detection systems. IoT solutions serve as the nervous system of modern disaster management, combining an array of interconnected sensors and devices that capture, process, and disseminate critical data the moment it is generated.

This technological paradigm shift helps transform raw data into actionable intelligence. Innovative systems harness embedded sensors, real-time communication networks, and advanced analytics to predict impending risks and alert decision-makers. This proactive approach not only enhances preparedness but also minimizes potential loss of life and property. As these systems grow in complexity and scale, stakeholders can rely on improved accuracy and responsiveness, creating a safer, more resilient infrastructure. The integration of IoT in natural disaster detection is not simply a technological upgrade-it is a comprehensive solution that aligns performance, reliability, and immediate response in a manner that traditional methods simply could not achieve.

The convergence of cost-effective hardware, robust connectivity, and intelligent software is at the heart of this transformation, ensuring that disaster response teams are empowered with the insights needed to protect communities and resources in an era where every second counts.

Transformative Shifts in the Landscape

The landscape of natural disaster detection has experienced transformative shifts driven by rapid advancements in IoT technology. Traditional detection methods that once relied heavily on manual observations and delayed data transmission have given way to automated systems that operate with unmatched precision and speed. This evolution is reshaping the ways in which governments, emergency response teams, and private organizations approach risk mitigation.

Modern IoT platforms adopt distributed data processing, making it possible to analyze and act on local sensor data without the delays inherent in centralized systems. New sensor advancements have enabled continuous monitoring of environmental factors, ensuring that subtle changes leading up to events such as earthquakes or floods are quickly identified. The integration of cloud computing and edge analytics helps reduce latency while significantly enhancing decision-making capabilities.

Furthermore, interoperability among different devices and platforms has fostered an ecosystem where information flows seamlessly. This connectivity ensures that cross-functional teams have access to integrated data, which in turn improves forecasting accuracy and speeds emergency responses. Today, the emphasis is shifting from reactive measures to proactive prevention, as organizations invest in resilient systems that leverage cutting-edge technologies. Such strategic initiatives are setting new benchmarks in disaster preparedness, ultimately driving a safer and more efficient public safety framework.

Key Segmentation Insights

A detailed understanding of market segmentation reveals the complex structure underpinning natural disaster detection IoT solutions. The market is first differentiated based on component, examining areas such as hardware, services, and software. In hardware, the focus spans computational and storage devices, data transmission devices, power supply and energy storage, sensors and detectors, and user interface and notification systems, each contributing uniquely to overall system performance. The software segment further dissects into communication and networking software, data analysis and management software, and Geographic Information System (GIS) software, enhancing data interpretation and strategic response capabilities.

The technology segmentation highlights critical drivers including advanced computing and big data analytics, artificial intelligence and machine learning, and mobile and communication technologies. These innovations underpin the rapid data processing and intelligent algorithms that shape modern detection systems. On the application front, market study covers a spectrum of critical needs such as drought detection and management, earthquake management, flood monitoring and management, forest fire management, landslide detection and management, and weather monitoring. Each application requires tailored solutions to address unique environmental triggers and crisis scenarios.

Finally, the end-user segmentation differentiates the market by those who deploy these technologies, ranging from government organizations and law enforcement agencies to private companies and rescue personnel. These varied segments interact within an ecosystem that demands precise, reliable, and agile technological support to mitigate the impact of natural disasters.

Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Computational & Storage Devices, Data Transmission Devices, Power Supply & Energy Storage, Sensors & Detectors, and User Interface & Notification Systems. The Software is further studied across Communication & Networking Software, Data Analysis & Management Software, and Geographic Information System (GIS) Software.

Based on Technology, market is studied across Advanced Computing & Big Data Analytics, Artificial Intelligence & Machine Learning, and Mobile & Communication Technologies.

Based on Application, market is studied across Drought Detection & Management, Earthquake Management, Flood Monitoring & Management, Forest Fire Management, Landslide Detection & Management, and Weather Monitoring.

Based on End-User, market is studied across Government Organizations, Law Enforcement Agencies, Private Companies, and Rescue Personnel.

Key Regional Insights

Regional dynamics play a pivotal role in determining the acceptance and implementation of IoT-based natural disaster detection systems. In the Americas, there is a noticeable trend toward robust investments in technology-driven public safety measures. This region has seen a high adoption rate of advanced sensor networks and data platforms, largely driven by stringent regulations and a proactive approach to disaster management.

Across Europe, the Middle East, and Africa, the focus is on modernizing legacy systems while integrating smart technologies. Here, regional collaboration along with cross-border data sharing initiatives has enhanced monitoring capabilities and resource allocation efficiency. Tailored solutions ensure that both urban centers and remote locations benefit from timely alerts and coordinated responses. Regulatory frameworks in these areas also play a crucial role in guiding technology adoption and infrastructure enhancement.

In the Asia-Pacific region, rapid urbanization combined with high vulnerability to natural hazards has spurred significant investment in IoT innovation. Diverse climatic and geographic conditions in this area require adaptive and resilient systems that can handle a wide range of disaster scenarios. As several nations in this region prioritize modernization, there is an increased focus on integrating real-time data analytics and scalable infrastructure to meet rising demands. Overall, the interplay between regional needs and technological capabilities continues to shape the market, creating opportunities for tailored and effective solutions.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, Bangladesh, China, Fiji, India, Indonesia, Japan, Malaysia, Pakistan, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Insights

A closer examination of the competitive landscape in the natural disaster detection market reveals an array of influential companies driving innovation and market expansion. Major industry players such as ABB Ltd., Accenture PLC, and ALE International SAS have been instrumental in integrating cutting-edge IoT solutions with traditional disaster management frameworks. These companies, alongside Aplicaciones Tecnologicas S.A. and AT&T Inc., have spearheaded initiatives that streamline data capture and improve real-time communication networks.

Organizations like Atos SE, BlackBerry Limited, and Cisco Systems Inc. continue to push the envelope through robust network infrastructure and sophisticated communication strategies. Eaton Corporation PLC and Environmental Systems Research Institute, Inc. contribute through their expertise in energy management and comprehensive data analytics, respectively, while Google LLC by Alphabet Inc. and Green Stream Technologies, Inc. focus on harnessing cloud-based solutions to drive efficiency in data processing. The list extends further with Grillo Holdings Inc., Hala Systems, Inc., and Hitachi Ltd. setting benchmarks in technology integration and operational excellence.

Additionally, innovative companies such as InfiSIM Ltd., Infosys Limited, and Intel Corporation are leveraging artificial intelligence and machine learning to enhance the predictive capabilities of IoT systems. International Business Machines Corporation and Knowx Innovations Pvt. Ltd. are also leveraging their deep technical expertise to refine system responsiveness. Other industry leaders including Mitsubishi Electric Corporation, NEC Corporation, Nokia Corporation, and One Concern, Inc. remain actively involved in redefining market standards by investing in scalable technologies. With players like Optex Co., Ltd., OroraTech GmbH, and Responscity Systems Private Limited contributing specialized solutions, the industry is marked by a spirit of collaboration and continuous innovation. Further contributions from 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 underscore an ecosystem driven by technical excellence and strategic foresight.

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. Actionable Recommendations for Industry Leaders

Industry leaders are encouraged to adopt a forward-thinking approach by investing in integrated IoT solutions that are both scalable and adaptable to rapidly evolving disaster scenarios. It is vital to nurture cross-functional partnerships with technology innovators, as well as collaborate with both public and private entities to harness comprehensive data analytics capabilities. Leaders should consider developing or integrating modular systems that can easily be updated to keep pace with emerging technologies, particularly in sensor development and communication networks.

Emphasizing research and development initiatives that focus on improved data processing, artificial intelligence, and machine learning will help accelerate response times and predict potential hazards accurately. As natural disasters become increasingly complex, aligning technological investments with regional needs and regulatory requirements becomes essential. Finally, ensuring a robust training strategy for end users-ranging from government bodies to rescue teams-will maximize the efficient utilization of these advanced systems, thus enhancing overall disaster management performance.

Conclusion: Embracing the Future of Disaster Management

The integration of IoT in natural disaster detection represents not only a technological feat but also a strategic imperative in managing the risks associated with environmental catastrophes. This comprehensive overview has underscored the critical role played by advanced sensors, sophisticated software, and interoperable systems in shaping a safer future. The market segmentation based on components, technology, application, and end-user provides clear insight into how specialized solutions cater to diverse needs, reinforcing the importance of tailored approaches in disaster management.

Moreover, regional insights and competitive company profiles illustrate a vibrant landscape marked by collaboration and relentless innovation. As stakeholders continue to invest in next-generation technologies, the emphasis will increasingly shift from reactive measures to proactive risk mitigation-a move that is not only timely but necessary in today's climate-challenged world. In essence, the future of disaster management lies in our ability to assimilate these technological trends into integrated, actionable strategies that safeguard communities and drive resilience on a global scale.

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. Rising demand for real-time data analytics in monitoring and managing environmental risks and hazards using advanced IoT sensors
    • 5.1.1.2. Increasing climate change concerns prompt accelerated demand for proactive natural disaster detection
    • 5.1.1.3. Growing government support and investment in innovative IoT technologies for timely detection and response of natural disasters
  • 5.1.2. Restraints
    • 5.1.2.1. High deployment costs and infrastructure complexity with natural disaster detection IoT solutions
  • 5.1.3. Opportunities
    • 5.1.3.1. Ongoing advancements in wireless sensor networks and cloud computing making IoT solutions for large-scale natural disaster detection
    • 5.1.3.2. Increased collaboration between public and private sectors for innovation and investment in natural disaster detection technologies
  • 5.1.4. Challenges
    • 5.1.4.1. Cybersecurity and data privacy concerns associated with natural disaster detection IoT
• 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. Application: Increasing proliferation for detecting harsh weather conditions
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Natural Disaster Detection IoT Market, by Component

• 6.1. Introduction
• 6.2. Hardware
  • 6.2.1. Computational & Storage Devices
  • 6.2.2. Data Transmission Devices
  • 6.2.3. Power Supply & Energy Storage
  • 6.2.4. Sensors & Detectors
  • 6.2.5. User Interface & Notification Systems
• 6.3. Services
• 6.4. Software
  • 6.4.1. Communication & Networking Software
  • 6.4.2. Data Analysis & Management Software
  • 6.4.3. Geographic Information System (GIS) 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, 2024
• 13.2. FPNV Positioning Matrix, 2024
• 13.3. Competitive Scenario Analysis
  • 13.3.1. IIT Bhubaneswar unveils significant GLOF early warning app
  • 13.3.2. FETC's preemptive approach to disaster management
  • 13.3.3. Thales Alenia expanding IoT innovations for enhanced disaster detection
  • 13.3.4. SAP SE and Zynas Corporation collaborate with Oita University to roll-out emergency-response collaboration tool
  • 13.3.5. IBM Advances Geospatial AI to Address Climate Challenges
  • 13.3.6. Drones and AI Systems Developed to Detect Natural Disasters
  • 13.3.7. Tack One & Infineon develop palm-sized flood monitor for delivering accurate measurements
  • 13.3.8. PNNL Researchers Using AI to Aid Disaster Response and Recovery
  • 13.3.9. NEC develops technology for disaster damage assessment using a Large Language Model (LLM) and image analysis
  • 13.3.10. UCLA Geologists are Using Artificial Intelligence to Predict Landslides
  • 13.3.11. Fujitsu and Hexagon digital twin tech aids predictive disaster and traffic safety management
  • 13.3.12. NASA Partnership Launches Groundbreaking New Global Flood Early Warning Technology
  • 13.3.13. RapidSOS, a big data platform for emergency first responders, raises USD 75 Million
  • 13.3.14. China Mobile, Ericsson and partners aim to deploy China-wide 5G natural disaster management solution
  • 13.3.15. AiDash launches new climate risk intelligence system to manage the natural disasters and extreme weather events
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. ABB Ltd.
• 2. Accenture PLC
• 3. ALE International SAS
• 4. Aplicaciones Tecnologicas S.A.
• 5. AT&T Inc.
• 6. Atos SE
• 7. BlackBerry Limited
• 8. Cisco Systems Inc.
• 9. Eaton Corporation PLC
• 10. Environmental Systems Research Institute, Inc
• 11. Google LLC by Alphabet Inc.
• 12. Green Stream Technologies, Inc.
• 13. Grillo Holdings Inc.
• 14. Hala Systems, Inc.
• 15. Hitachi Ltd.
• 16. InfiSIM Ltd.
• 17. Infosys Limited
• 18. Intel Corporation
• 19. International Business Machines Corporation
• 20. Knowx Innovations Pvt. Ltd.
• 21. Mitsubishi Electric Corporation
• 22. NEC Corporation
• 23. Nokia Corporation
• 24. One Concern, Inc.
• 25. Optex Co., Ltd.
• 26. OroraTech GmbH
• 27. Responscity Systems Private Limited
• 28. Sadeem International Company
• 29. SAP SE
• 30. Scanpoint Geomatics Ltd.
• 31. Semtech Corporation
• 32. Sony Group Corporation
• 33. Telefonaktiebolaget LM Ericsson
• 34. Tractable Ltd.
• 35. Trinity Mobility Private Limited
• 36. Venti LLC
• 37. Zebra Technologies Corporation