【レポートの概要(一部)】
TABLE OF CONTENTS
1 INTRODUCTION 11
1.1 OBJECTIVES OF THE STUDY 11
1.2 MARKET DEFINITION 11
1.3 STUDY SCOPE 12
1.3.1 MARKETS COVERED 12
1.3.2 GEOGRAPHICAL SCOPE 12
1.3.3 YEARS CONSIDERED FOR THE STUDY 13
1.4 CURRENCY AND PRICING 13
1.5 LIMITATIONS 13
1.6 STAKEHOLDERS 14
2 RESEARCH METHODOLOGY 15
2.1 RESEARCH DATA 15
2.1.1 SECONDARY DATA 16
2.1.1.1 Key data from secondary sources 16
2.1.2 PRIMARY DATA 17
2.1.2.1 Key data from primary sources 17
2.1.2.2 Key industry insights 18
2.1.2.3 Breakdown of primaries 18
2.2 MARKET SIZE ESTIMATION 19
2.2.1 BOTTOM-UP APPROACH 19
2.2.2 TOP-DOWN APPROACH 20
2.3 MARKET BREAKDOWN & DATA TRIANGULATION 21
2.4 RESEARCH ASSUMPTIONS 22
2.4.1 ASSUMPTIONS 22
3 EXECUTIVE SUMMARY 23
4 MARKET OVERVIEW 26
4.1 INTRODUCTION 26
4.2 MARKET SEGMENTATION 26
4.2.1 IOT INSURANCE MARKET, BY INSURANCE TYPE 26
4.2.2 IOT INSURANCE MARKET, BY INSURANCE APPLICATION 27
4.2.3 IOT INSURANCE MARKET, BY GEOGRAPHY 28
4.3 MARKET DYNAMICS 28
4.3.1 DRIVERS 29
4.3.1.1 Growing adoption of Internet of Things (IoT) products in developed and developing economies 29
4.3.1.2 Growing demand of cloud platform and other value added services in insurance industry 29
4.3.1.3 Reduction in premium and risk related costs 30
4.3.1.4 IoT enabled devices improves the insurance services 30
4.3.2 RESTRAINTS 30
4.3.2.1 Communication standards and data privacy concerns 30
4.3.3 OPPORTUNITIES 31
4.3.3.1 Increasing need of insurance for various IoT enabled applications such as automobiles, healthcare, life, home and commercial setors 31
4.3.3.2 New developments in the insurance models 31
4.3.3.3 Data generated from IoT improves business intelligence in the insurance industry 31
4.3.3.4 Increasing investments in IoT Insurance startups 32
4.3.4 CHALLENGES 32
4.3.4.1 Problem posed by legacy systems, and lack in customer engagement, awareness, skills, and procurement policies 32
4.4 REGULATORY IMPLICATIONS 33
5 INDUSTRY TRENDS 34
5.1 INTRODUCTION 34
5.2 VALUE CHAIN ANALYSIS 34
5.3 INDUSTRY TRENDS 35
5.3.1 NEW REVENUE STREAMS AND PRODUCT OPPORTUNITIES 35
5.3.1.1 Strategic planning initiatives 35
5.3.1.2 Building strong relation between policyholder and insurer 35
5.3.1.3 Risk modules that moves from reactive compensation to proactive protection 36
5.3.2 TECHNOLOGICAL INNOVATIONS 36
5.4 PEST ANALYSIS 37
5.4.1 POLITICAL FACTORS 37
5.4.2 ECONOMIC FACTORS 37
5.4.3 SOCIAL FACTORS 37
5.4.4 TECHNOLOGICAL FACTORS 38
6 IOT INSURANCE MARKET, BY INSURANCE TYPE 39
6.1 INTRODUCTION 39
6.2 PROPERTY AND CASUALTY (P&C) INSURANCE 39
6.2.1 IOT IN PROPERTY AND CASUALTY (P&C) INSURANCE: CASE STUDY 40
6.3 HEALTH INSURANCE 40
6.3.1 IOT IN HEALTH INSURANCE: CASE STUDY 41
6.4 LIFE INSURANCE 42
6.4.1 IOT IN LIFE INSURANCE: CASE STUDY 43
6.5 OTHERS 43
6.5.1 WARRANTY INSURANCE 43
6.5.2 FARMERS INSURANCE 44
6.5.3 CYBER INSURANCE 44
6.5.4 PET INSURANCE 44
6.5.5 SAVINGS AND INVESTMENTS INSURANCE 44
6.5.6 PENSION INSURANCE 44
7 IOT INSURANCE MARKET, BY INSURANCE APPLICATION 45
7.1 INTRODUCTION 46
7.2 AUTOMOTIVE AND TRANSPORTATION 47
7.2.1 CONNECTED CARS 48
7.2.2 FLEET MANAGEMENT 48
7.2.3 INSURANCE TELEMATICS 48
7.2.4 STOLEN VEHICLE RECOVERY 48
7.2.5 SUPPLY CHAIN OPTIMIZATION AND INVENTORY MANAGEMENT 48
7.2.6 LOGISTIC AND NAVIGATION 49
7.3 HOME AND COMMERCIAL BUILDINGS 49
7.3.1 CONNECTED HOME 50
7.3.2 SECURITY AND EMERGENCY 50
7.3.3 PROACTIVE LOSS PREVENTION 50
7.4 LIFE AND HEALTH 51
7.4.1 PATIENT HEALTH MONITORING 52
7.4.2 CONNECTED HEALTHCARE 52
7.4.3 LIFESTYLE AND FITNESS MONITORING 52
7.5 BUSINESS AND ENTERPRISE 53
7.5.1 PROFILE AUTHENTICATION AND VERIFICATION 53
7.5.2 BUSINESS-SPECIFIC RISKS AND FRAUD MITIGATION 53
7.5.3 WORKFORCE MANAGEMENT 53
7.6 CONSUMER ELECTRONICS AND INDUSTRIAL MACHINES 54
7.6.1 PRODUCT BASED DIAGNOSTICS 54
7.6.2 WARRANTY MANAGEMENT 54
7.7 TRAVEL 55
7.7.1 SITUATIONAL AWARENESS 55
7.8 AGRICULTURE 56
7.8.1 LIVESTOCK MONITORING 57
7.8.2 CLIMATE MONITORING AND FORECASTING 57
8 IOT INSURANCE MARKET, BY GEOGRAPHY 58
8.1 INTRODUCTION 59
8.2 NORTH AMERICA 60
8.3 EUROPE 61
8.4 ASIA PACIFIC 61
8.5 REST OF THE WORLD (ROW) 62
9 COMPETITIVE LANDSCAPE 63
9.1 INTRODUCTION 63
9.2 RANKING OF TOP 5 PLAYERS IN THE IOT INSURANCE MARKET 64
9.3 COMPETITIVE ANALYSIS 64
9.4 RECENT DEVELOPMENTS 66
9.4.1 NEW PRODUCT LAUNCHES & DEVELOPMENTS: IOT INSURANCE MARKET 66
9.4.2 PARTNERSHIPS, COLLABORATION & JOINT VENTURES: IOT INSURANCE MARKET 68
9.4.3 MERGERS & ACQUISITION: IOT INSURANCE MARKET 70
9.4.4 OTHERS 71
10 COMPANY PROFILE 72
(Company at a Glance, Recent Financials, Products & Services, Strategies & Insights, & Recent Developments)*
10.1 INTRODUCTION 72
10.2 INTERNATIONAL BUSINESS MACHINES CORPORATION 73
10.3 SAP SE 76
10.4 ORACLE CORPORATION 80
10.5 GOOGLE INC. 83
10.6 MICROSOFT CORPORATION 86
10.7 CISCO SYSTEMS INC. 89
10.8 ACCENTURE PLC 91
10.9 VERISK ANALYTICS, INC. 94
10.10 CONCIRRUS 96
10.11 LEXISNEXIS 97
10.12 ZONOFF, INC. 99
*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 101
11.1 AXA INSURANCE 101
11.1.1 OVERVIEW: 101
11.1.2 KEY STRATEGIESFOR IOT INSURANCE : 101
11.2 AMERICAN FAMILY INSURANCE 102
11.2.1 OVERVIEW: 102
11.2.2 KEY STRATEGIESFOR IOT INSURANCE : 102
11.3 AMERICAN INTERNATIONAL GROUP, INC. 103
11.3.1 OVERVIEW: 103
11.3.2 KEY STRATEGIES FOR IOT INSURANCE : 103
11.4 ALLIANZ SE 104
11.4.1 OVERVIEW: 104
11.4.2 KEY STRATEGIES FOR IOT INSURANCE : 104
11.5 BERKSHIRE HATHAWAY INC. 105
11.5.1 OVERVIEW: 105
11.5.2 KEY STRATEGIES FOR IOT INSURANCE : 105
11.6 ZURICH INSURANCE GROUP LTD. 106
11.6.1 OVERVIEW: 106
11.6.2 KEY STRATEGIES FOR IOT INSURANCE: 106
12 APPENDIX 107
12.1 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 107
12.2 INTRODUCING RT: REAL TIME MARKET INTELLIGENCE 109
12.3 AUTHOR DETAILS 110
【レポート販売概要】
■ タイトル:IoT保険の世界市場予測(~2022):種類別(損害、医療、生命)、用途別(自動車・輸送、住宅・商業ビル、生命・医療、法人向け、家電、旅行、農業)、地域別■ 英文: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
■ 発行日:2017年1月30日
■ 調査会社:MarketsandMarkets
■ 商品コード:MAM-SE-4957
■ 調査対象地域:グローバル
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