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市場調査レポート

IoT (モノのインターネット) 保険の世界市場 〜2022年:種類 (損害、健康、生命)、用途 (自動車・運輸業、住宅・商業建築物、生命・健康、ビジネス・企業、家電、旅行、農業)、地域別

IoT Insurance Market by Type (P&C, Health, Life), Application (Automotive & Transportation, Home & Commercial Buildings, Life & Health, Business & Enterprise, Consumer Electronics, Travel, Agriculture), and Geography - Global Forecast to 2022

発行 MarketsandMarkets 商品コード 430728
出版日 ページ情報 英文 112 Pages
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IoT (モノのインターネット) 保険の世界市場 〜2022年:種類 (損害、健康、生命)、用途 (自動車・運輸業、住宅・商業建築物、生命・健康、ビジネス・企業、家電、旅行、農業)、地域別 IoT Insurance Market by Type (P&C, Health, Life), Application (Automotive & Transportation, Home & Commercial Buildings, Life & Health, Business & Enterprise, Consumer Electronics, Travel, Agriculture), and Geography - Global Forecast to 2022
出版日: 2017年01月30日 ページ情報: 英文 112 Pages
概要

世界のIoT保険市場は、2016〜2022年に65.89%ものCAGR (複合年間成長率) で成長し、2022年には427億6000万米ドルの規模に達する見通しです。市場成長の主な要因として、IoT対応機器が医療・生命科学・自動車・旅行・農業などの様々な産業分野に浸透し、各種データのリアルタイムでの監視を通じてリスク軽減の可能性が開けてきたことが挙げられます。特に、自動車・交通機関や運輸業では、巨大な市場機会の発生や高度成長が期待されています。

当レポートでは、世界のIoT (モノのインターネット) 保険の市場について分析し、商品・市場の基本的構造や最新情勢、主な市場促進・阻害要因、市場動向と今後の見通し (過去2年間・今後6年間分)、保険の種類別/用途別および地域別の詳細動向、市場競争の状態、今後の技術開発・市場発展の方向性、主要企業のプロファイルなどを調査・考察しております。

第1章 イントロダクション

第2章 分析手法

第3章 エグゼクティブ・サマリー

第4章 市場概要

  • イントロダクション
  • 市場の内訳
  • 市場のダイナミクス
    • 促進要因
      • 先進国・途上国双方でのIoT (モノのインターネット) 製品の普及
      • 保険業界における、クラウドプラットフォームや他の付加価値サービスの需要拡大
      • 保険料/リスク関連コストの低下
      • IoT対応デバイスによる保険サービスの改善
    • 抑制要因
      • 通信規格・データセキュリティに関する不安感
    • 市場機会
      • IoTの様々な活用分野 (自動車、医療、生命、住宅、商業など) における保険ニーズの拡大
      • 保険モデルの新規開発
      • IoTから派生したデータを活用した、保険業界でのビジネスインテリジェンス (BI) の改良
      • 新興IoT保険会社への投資増額
    • 課題
      • 従来型システムにより課せられた課題と、顧客関与・認知度・スキル・商品調達手段の不足
  • 規制の影響

第5章 産業動向

  • イントロダクション
  • バリューチェーン分析
  • 産業動向
    • 新たな収益源と製品市場機会
      • 戦略立案への取り組み
      • 保険契約者と保険者との間の強力な関係の構築
      • リスクモジュール:必要に応じた保険金支払いから、積極的な予防への移行
    • 技術革新
  • PEST分析
    • 政治的要因
    • 経済的要因
    • 社会的要因
    • 技術的要因

第6章 IoT保険市場:保険の種類別

  • イントロダクション
  • 損害 (P&C) 保険
    • 損害保険におけるIoT:ケーススタディ
  • 健康保険
  • 生命保険
  • その他
    • 保証保険
    • 農業保険
    • サイバー保険
    • ペット保険
    • 預金・投資保険
    • 退職年金保険

第7章 IoT保険市場:保険の用途別

  • イントロダクション
  • 自動車・運輸業
    • コネクテッドカー
    • フリート管理
    • 保険テレマティクス
    • 盗難車回収
    • サプライチェーン最適化・在庫管理
    • ロジスティクスおよびナビゲーション
  • 住宅・商業建築物
    • コネクテッドホーム
    • セキュリティ・緊急対応
    • 積極的な損失防止
  • 生命・医療
    • 患者健康モニタリング
    • コネクテッド医療
    • ライフスタイル/フィットネス・モニタリング
  • ビジネス・企業
    • プロファイル認証・検証
    • 各事業特有のリスク・不正行為の緩和
    • 労働力の管理
  • 家電製品・産業機械
    • 製品ベース診断
    • 保証管理
  • 旅行業
    • 状況把握
  • 農業
    • 家畜モニタリング
    • 気候モニタリング・予測

第8章 IoT保険市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 他の国々 (RoW)

第9章 競争環境

  • イントロダクション
  • IoT保険市場上位5社のランキング
  • 競争力の分析
  • 昨今の動向
    • 新商品の発売・開発
    • 事業提携・事業協力・合弁事業
    • 企業合併・買収 (M&A)
    • その他

第10章 企業プロファイル (企業概要、昨今の財務状況、製品・サービス、戦略・構想、近年の動向)

  • イントロダクション
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • SAP SE
  • ORACLE CORPORATION
  • GOOGLE INC.
  • MICROSOFT CORPORATION
  • CISCO SYSTEMS INC.
  • ACCENTURE PLC
  • VERISK ANALYTICS, INC.
  • CONCIRRUS
  • LEXISNEXIS
  • ZONOFF, INC.

第11章 保険企業の将来展望

  • AXA INSURANCE
    • 概要
    • IoT保険に関する主要戦略
  • AMERICAN FAMILY INSURANCE
  • AMERICAN INTERNATIONAL GROUP, INC.
  • ALLIANZ SE
  • BERKSHIRE HATHAWAY INC.
  • ZURICH INSURANCE GROUP LTD.

第12章 付録

図表一覧

目次
Product Code: SE 4957

IoT insurance market to grow at a CAGR of 65.89% between 2016 and 2022

The global IoT insurance market is estimated to be worth USD 42.76 billion by 2022, growing at a CAGR of 65.89% between 2016 and 2022. A key driving factor for the growth of the market is the growing adoption of Internet of Things (IoT) for various insurance applications such as health, life, automobiles, travel, and agriculture sectors, among others. The IoT-enabled devices provide intelligent data for insurers to monitor and track the status and monitor data that helps insurers to manage claims and reduce risks.

Automotive and transportation insurance application to exhibit impressive growth in the IoT insurance market during the forecast period

Most of the automotive insurance industries offer usage-based insurance for drivers and car owners. The IoT-based devices such as in-vehicle sensors, global positioning systems, and other on-board devices generate informative data for insurance industry. Data such as speed, acceleration, and distance driven is collected by insurers and is used to accurately access premium policies and reduce frauds. Additionally, the policyholders are able to get rewards for good driving behavior and improve the driving habits. Hence, IoT would be able to reduce the cost of premiums and strengthen customer relationships. The adoption of telematics in UBI enhances the underwriting process and speed up the insurance claim process.

APAC region to be the fastest-growing market for IoT insurance

The IoT insurance market is expected to grow at the highest CAGR between 2016 and 2022 owing to the increasing industrialization and urbanization in this region. The growing adoption of IoT devices such as smartphones, drones, and Wi-Fi dongles, among others in the Asia-Pacific region has increased the demand for IoT insurance in the region. The major investments in new innovations and IoT technologies in developing economies of APAC region drive the IoT insurance market.

Breakdown of Profiles of Primary Participants:

  • By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
  • By Designation: C-Level Executives - 35%, Directors - 25%, and Others - 40%
  • By Region: North America - 45%, APAC - 30%, Europe - 20%, and RoW - 5%

The key players offering various products and services in the IoT insurance market include International Business Machines Corporation (U.S.), SAP SE (Germany), Oracle Corporation (U.S.), Microsoft Corporation (U.S.), Google Inc. (U.S.), LexisNexis Risk Solutions (U.S.), Zonoff, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Accenture PLC (Ireland), Concirus (U.K.) and Verisk Analytics, Inc. (U.S.). Also, the insurance companies that have implemented IoT for various applications include AXA Insurance (France), American Family Insurance (U.S.), American International Group, Inc. (U.S.), Allianz SE (Germany), Berkshire Hathaway Inc. (U.S.), and Zurich Insurance Group Ltd. (Switzerland).

Research Coverage:

In this report, various segments such as insurance type, insurance applications, and geography have been covered. It also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. The report gives a detailed view of the market across five main regions: North America, Europe, APAC, Middle East and Africa, and Latin America. The political, economic, social, and technological (PEST) factors analysis has been included in the report along with the description of each of its factors and their impact on the said market.

Reasons to Buy the Report:

  • This report includes statistics pertaining to the IoT insurance market on the basis of insurance type, insurance application, and region.
  • The PEST analysis, value chain analysis, and key strategies adopted by the market players have been provided for the IoT insurance market.
  • Major drivers, restraints, opportunities and, challenges for the IoT insurance market have been provided in detail in this report.
  • The report includes illustrative segmentation, analysis, and forecast for the IoT insurance market based on its segments and subsegments.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. STUDY SCOPE
    • 1.3.1. MARKETS COVERED
    • 1.3.2. GEOGRAPHICAL SCOPE
    • 1.3.3. YEARS CONSIDERED FOR THE STUDY
  • 1.4. CURRENCY AND PRICING
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Key data from secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Key data from primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
    • 2.2.2. TOP-DOWN APPROACH
  • 2.3. MARKET BREAKDOWN & DATA TRIANGULATION
  • 2.4. RESEARCH ASSUMPTIONS
    • 2.4.1. ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. MARKET OVERVIEW

  • 4.1. INTRODUCTION
  • 4.2. MARKET SEGMENTATION
    • 4.2.1. IOT INSURANCE MARKET, BY INSURANCE TYPE
    • 4.2.2. IOT INSURANCE MARKET, BY INSURANCE APPLICATION
    • 4.2.3. IOT INSURANCE MARKET, BY GEOGRAPHY
  • 4.3. MARKET DYNAMICS
    • 4.3.1. DRIVERS
      • 4.3.1.1. Growing adoption of Internet of Things (IoT) products in developed and developing economies
      • 4.3.1.2. Growing demand of cloud platform and other value added services in insurance industry
      • 4.3.1.3. Reduction in premium and risk related costs
      • 4.3.1.4. IoT enabled devices improves the insurance services
    • 4.3.2. RESTRAINTS
      • 4.3.2.1. Communication standards and data privacy concerns
    • 4.3.3. OPPORTUNITIES
      • 4.3.3.1. Increasing need of insurance for various IoT enabled applications such as automobiles, healthcare, life, home and commercial setors
      • 4.3.3.2. New developments in the insurance models
      • 4.3.3.3. Data generated from IoT improves business intelligence in the insurance industry
      • 4.3.3.4. Increasing investments in IoT Insurance startups
    • 4.3.4. CHALLENGES
      • 4.3.4.1. Problem posed by legacy systems, and lack in customer engagement, awareness, skills, and procurement policies
  • 4.4. REGULATORY IMPLICATIONS

5. INDUSTRY TRENDS

  • 5.1. INTRODUCTION
  • 5.2. VALUE CHAIN ANALYSIS
  • 5.3. INDUSTRY TRENDS
    • 5.3.1. NEW REVENUE STREAMS AND PRODUCT OPPORTUNITIES
      • 5.3.1.1. Strategic planning initiatives
      • 5.3.1.2. Building strong relation between policyholder and insurer
      • 5.3.1.3. Risk modules that moves from reactive compensation to proactive protection
    • 5.3.2. TECHNOLOGICAL INNOVATIONS
  • 5.4. PEST ANALYSIS
    • 5.4.1. POLITICAL FACTORS
    • 5.4.2. ECONOMIC FACTORS
    • 5.4.3. SOCIAL FACTORS
    • 5.4.4. TECHNOLOGICAL FACTORS

6. IOT INSURANCE MARKET, BY INSURANCE TYPE

  • 6.1. INTRODUCTION
  • 6.2. PROPERTY AND CASUALTY (P&C) INSURANCE
    • 6.2.1. IOT IN PROPERTY AND CASUALTY (P&C) INSURANCE: CASE STUDY
  • 6.3. HEALTH INSURANCE
    • 6.3.1. IOT IN HEALTH INSURANCE: CASE STUDY
  • 6.4. LIFE INSURANCE
    • 6.4.1. IOT IN LIFE INSURANCE: CASE STUDY
  • 6.5. OTHERS
    • 6.5.1. WARRANTY INSURANCE
    • 6.5.2. FARMERS INSURANCE
    • 6.5.3. CYBER INSURANCE
    • 6.5.4. PET INSURANCE
    • 6.5.5. SAVINGS AND INVESTMENTS INSURANCE
    • 6.5.6. PENSION INSURANCE

7. IOT INSURANCE MARKET, BY INSURANCE APPLICATION

  • 7.1. INTRODUCTION
  • 7.2. AUTOMOTIVE AND TRANSPORTATION
    • 7.2.1. CONNECTED CARS
    • 7.2.2. FLEET MANAGEMENT
    • 7.2.3. INSURANCE TELEMATICS
    • 7.2.4. STOLEN VEHICLE RECOVERY
    • 7.2.5. SUPPLY CHAIN OPTIMIZATION AND INVENTORY MANAGEMENT
    • 7.2.6. LOGISTIC AND NAVIGATION
  • 7.3. HOME AND COMMERCIAL BUILDINGS
    • 7.3.1. CONNECTED HOME
    • 7.3.2. SECURITY AND EMERGENCY
    • 7.3.3. PROACTIVE LOSS PREVENTION
  • 7.4. LIFE AND HEALTH
    • 7.4.1. PATIENT HEALTH MONITORING
    • 7.4.2. CONNECTED HEALTHCARE
    • 7.4.3. LIFESTYLE AND FITNESS MONITORING
  • 7.5. BUSINESS AND ENTERPRISE
    • 7.5.1. PROFILE AUTHENTICATION AND VERIFICATION
    • 7.5.2. BUSINESS-SPECIFIC RISKS AND FRAUD MITIGATION
    • 7.5.3. WORKFORCE MANAGEMENT
  • 7.6. CONSUMER ELECTRONICS AND INDUSTRIAL MACHINES
    • 7.6.1. PRODUCT BASED DIAGNOSTICS
    • 7.6.2. WARRANTY MANAGEMENT
  • 7.7. TRAVEL
    • 7.7.1. SITUATIONAL AWARENESS
  • 7.8. AGRICULTURE
    • 7.8.1. LIVESTOCK MONITORING
    • 7.8.2. CLIMATE MONITORING AND FORECASTING

8. IOT INSURANCE MARKET, BY GEOGRAPHY

  • 8.1. INTRODUCTION
  • 8.2. NORTH AMERICA
  • 8.3. EUROPE
  • 8.4. ASIA PACIFIC
  • 8.5. REST OF THE WORLD (ROW)

9. COMPETITIVE LANDSCAPE

  • 9.1. INTRODUCTION
  • 9.2. RANKING OF TOP 5 PLAYERS IN THE IOT INSURANCE MARKET
  • 9.3. COMPETITIVE ANALYSIS
  • 9.4. RECENT DEVELOPMENTS
    • 9.4.1. NEW PRODUCT LAUNCHES & DEVELOPMENTS: IOT INSURANCE MARKET
    • 9.4.2. PARTNERSHIPS, COLLABORATION & JOINT VENTURES: IOT INSURANCE MARKET
    • 9.4.3. MERGERS & ACQUISITION: IOT INSURANCE MARKET
    • 9.4.4. OTHERS

10. COMPANY PROFILE (Company at a Glance, Recent Financials, Products & Services, Strategies & Insights, & Recent Developments)*

  • 10.1. INTRODUCTION
  • 10.2. INTERNATIONAL BUSINESS MACHINES CORPORATION
  • 10.3. SAP SE
  • 10.4. ORACLE CORPORATION
  • 10.5. GOOGLE INC.
  • 10.6. MICROSOFT CORPORATION
  • 10.7. CISCO SYSTEMS INC.
  • 10.8. ACCENTURE PLC
  • 10.9. VERISK ANALYTICS, INC.
  • 10.10. CONCIRRUS
  • 10.11. LEXISNEXIS
  • 10.12. ZONOFF, INC.

*Details on company at a glance, recent financials, products & services, strategies & insights, & recent developments might not be captured in case of unlisted companies.

11. INSURANCE COMPANIES OUTLOOK

  • 11.1. AXA INSURANCE
    • 11.1.1. OVERVIEW:
    • 11.1.2. KEY STRATEGIESFOR IOT INSURANCE :
  • 11.2. AMERICAN FAMILY INSURANCE
    • 11.2.1. OVERVIEW:
    • 11.2.2. KEY STRATEGIESFOR IOT INSURANCE :
  • 11.3. AMERICAN INTERNATIONAL GROUP, INC.
    • 11.3.1. OVERVIEW:
    • 11.3.2. KEY STRATEGIES FOR IOT INSURANCE :
  • 11.4. ALLIANZ SE
    • 11.4.1. OVERVIEW:
    • 11.4.2. KEY STRATEGIES FOR IOT INSURANCE :
  • 11.5. BERKSHIRE HATHAWAY INC.
    • 11.5.1. OVERVIEW:
    • 11.5.2. KEY STRATEGIES FOR IOT INSURANCE :
  • 11.6. ZURICH INSURANCE GROUP LTD.
    • 11.6.1. OVERVIEW:
    • 11.6.2. KEY STRATEGIES FOR IOT INSURANCE:

12. APPENDIX

  • 12.1. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.2. INTRODUCING RT: REAL TIME MARKET INTELLIGENCE
  • 12.3. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: IOT INSURANCE MARKET SIZE AND GROWTH, 2013-2022 (USD MILLION, Y-O-Y %)
  • TABLE 2: GLOBAL IOT INSURANCE MARKET SIZE BY INSURANCE APPLICATIONS, 2013-2022 (USD MILLION)
  • TABLE 3: AUTOMOTIVE AND TRANSPORTATION MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 4: HOME AND COMMERCIAL BUILDINGS MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 5: LIFE AND HEALTH MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 6: BUSINESS AND ENTERPRISE MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 7: CONSUMER ELECTRONICS AND INDUSTRIAL MACHINES MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 8: TRAVEL MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 9: AGRICULTURE MARKET SIZE BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 10: GLOBAL IOT INSURANCE MARKET SIZE, BY GEOGRAPHY, 2013-2022 (USD MILLION)
  • TABLE 11: RANKING OF TOP 5 PLAYERS IN THE IOT INSURANCE MARKET
  • TABLE 12: NEW PRODUCT LAUNCHES & DEVELOPMENTS, 2013-2016
  • TABLE 13: PARTNERSHIPS, JOINT VENTURES, COLLABORATIONS, AND EXPANSIONS, 2013-2016
  • TABLE 14: MERGERS & ACQUISITION, 2013-2016
  • TABLE 15: OTHERS, 2013-2016: IOT INSURANCE MARKET

LIST OF FIGURES

  • FIGURE 1: OVERVIEW OF MARKETS COVERED
  • FIGURE 2: IOT INSURANCE MARKET: RESEARCH DESIGN
  • FIGURE 3: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 4: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 5: ASSUMPTIONS OF THE RESEARCH STUDY
  • FIGURE 6: THE AUTOMOTIVE AND TRANSPORTATION APPLICATION IS EXPECTED TO WITNESS THE HIGHEST GROWTH RATE DURING THE FORECAST PERIOD
  • FIGURE 7: NORTH AMERICA HELD THE HIGHEST MARKET SHARE FOR IOT INSURANCE IN 2015
  • FIGURE 8: IOT INSURANCE MARKET, BY GEOGRAPHY
  • FIGURE 9: DEMAND OF CLOUD PLATFORM AND OTHER VALUE ADDED SERVICES IN INSURANCE INDUSTRY WOULD DRIVE THE MARKET
  • FIGURE 10: VALUE CHAIN OF IOT INSURANCE MARKET
  • FIGURE 11: AGRICULTURE APPLICATION IN IOT INSURANCE MARKET HELD THE HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 12: LIFE AND HEALTH MARKET IN NORTH AMERICA HELD THE HIGHEST SHARE IN 2015
  • FIGURE 13: AGRICULTURE MARKET SIZE IS EXPECTED TO GROW AT HIGHEST CAGR IN APAC REGION
  • FIGURE 14: GEOGRAPHIC SNAPSHOT: IOT INSURANCE MARKET HAS HIGH GROWTH RATE IN DEVELOPING ECONOMIES
  • FIGURE 15: NORTH AMERICA IS EXPECTED TO HAVE A MAJOR SHARE OF IOT INSURANCE MARKET IN 2015
  • FIGURE 16: COMPANIES ADOPTED STRATEGIC ALLIANCES AS THE KEY GROWTH STRATEGY BETWEEN 2013 AND 2016
  • FIGURE 17: MARKET EVALUATION FRAMEWORK: (2014-2016)
  • FIGURE 18: BATTLE FOR MARKET SHARE FOR IOT INSURANCE: NEW PRODUCT LAUNCHES & DEVELOPMENTS AND PARTNERSHIPS WERE THE KEY STRATEGIES
  • FIGURE 19: INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
  • FIGURE 20: INTERNATIONAL BUSINESS MACHINES CORPORATION: SWOT ANALYSIS
  • FIGURE 21: SAP SE: COMPANY SNAPSHOT
  • FIGURE 22: SAP SE: SWOT ANALYSIS
  • FIGURE 23: ORACLE CORPORATION: COMPANY SNAPSHOT
  • FIGURE 24: ORACLE CORPORATION: SWOT ANALYSIS
  • FIGURE 25: GOOGLE INC.: COMPANY SNAPSHOT
  • FIGURE 26: GOOGLE INC.: SWOT ANALYSIS
  • FIGURE 27: MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • FIGURE 28: MICROSOFT CORPORATION: SWOT ANALYSIS
  • FIGURE 29: CISCO SYSTEMS INC.: COMPANY SNAPSHOT
  • FIGURE 30: ACCENTURE PLC: COMPANY SNAPSHOT
  • FIGURE 31: VERISK ANALYTICS, INC.: COMPANY SNAPSHOT
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