경북 기업인을 위한, FAQ 빅데이터 서비스 지금 시작됩니다! · 빅데이터 쉽게 활용하세요. 데이타수집 데이타 가공 분석 빅데이터 활용
보험산업의 빅데이터: 2018-2023 기회 한계 전략 전망
Transcript of 보험산업의 빅데이터: 2018-2023 기회 한계 전략 전망
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
보험산업의 빅데이터: 2018-2023 – 기회, 한계, 전략 & 전망
발행사: SNS Telecom & IT / 발행일: 2018-08-03 / 페이지: 500 / 가격: Single User PDF; $2,500
개요
“빅데이터”는 기존 데이터베이스의 캡처, 저장, 관리 및 분석 능력 및 크기를 뛰어 넘는 데이터
세트를 나타내는 용어로 등장했다. 하지만 빅데이터 단어는 여러 해에 걸쳐 의미가 확장되었다.
빅데이터는 데이터 그 자체뿐만 아니라 복잡한 문제를 해결하기 위해 크고 다양한 데이터 컬렉션
을 캡처, 저장, 관리 및 분석하는 일련의 기술을 의미한다.
빅데이터는 커넥티드 기기, 웹, 소셜 미디어, 센서, 로그 파일 및 트랜잭션 애플리케이션과 같은
소스로부터 실시간 및 과거 데이터가 급증 됨에 따라 다양한 수직 부문에서 빠르게 주목 받고 있
다. 빅데이터가 표적 마케팅 및 맞춤형 제품에서부터 보험, 효율적인 클레임 처리, 사기 사전 예
방에 이르기까지 빅데이터의 응용분야는 다양하며 보험 업계에서도 적용된다.
SNS Telecom & IT에 분석에 따르면 2018년에만 보험업계의 빅데이터에 대한 투자가 24억 달러
이상을 차지할 것으로 예측된다. 보험사, 재보험사, 보험 중개인, InsurTech 전문가 및 기타 이해
관계자를 위한 수많은 비즈니스 기회로 인해 향후 3년간 연평균 성장률 약14%로 성장 할 것으로
예상된다.
본 보고서는 보험업계의 빅데이터 시장의 주요 성장 요인, 도전 과제, 투자 잠재력, 응용분야, 사
용 사례, 미래 로드맵, 가치사슬, 사례연구, 공급업체 프로필 및 전략 등을 포함하여 심층적인 분
석을 제공한다. 본 보고서는 또한 2018년부터 2030년까지 빅데이터의 하드웨어, 소프트웨어 및
전문 서비스 투자에 대한 시장 규모 예측을 제시한다. 예측에는 8개의 수평 하위시장, 8개의 응용
분야, 9개의 사용 사례, 6개 지역 및 35개 국가로 구분된다.
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
주요 발견:
본 보고서에는 아래와 같은 주요 발견들이 포함되어 있다:
2018년에 보험업계의 빅데이터 제공업체들은 하드웨어, 소프트웨어 및 전문 서비스 수익
을 통해 24억 달러에 이르렀다. 이러한 투자는 향후 3년간 약 14%의 연평균 성장률을
보일 것으로 예상되며, 2021년 말에는 36억 달러에 이를 것이다.
빅데이터 기술을 통해 보험사 및 기타 이해관계자는 표적 마케팅 및 맞춤형 제품, 보험,
효율적인 청구 처리, 사기 사전 예방 탐지 등 다양한 방법으로 데이터 자산을 활용하기
시작했다.
빅데이터 기술의 채택이 증가함에 따라 보험사 및 기타 이해관계자에게 다양한 혜택이 제
공된다. 전 세계 보험사의 의결을 토대로 보험 서비스 이용이 30% 증가하고, 정책 정책관
리자의 일이 50% 줄었고, 큰 손실에 대한 청구가 80%의 정확성을 자랑하며, 청구 과정
및 관리의 비용이 40-70%정도 줄었고, 비응급 보험 청구의 처리 속도를 90% 증가시켰으
며; 사기 탐지를 60% 향상됐다.
또한 빅데이터 기술은 사용자 요구에 따른 보험 (on-demand) 모델을 가능하게 하여; 자
동차, 생명 및 헬스케어 보험 및 사이버 범죄 (새로운 분야이며 부분적으로 보험을 들 수
있다)와 같은 분야에서의 보험 채택률을 촉진 시킨다.
포함된 주제:
본 보고서에는 아래와 같은 주제들이 포함되어 있다:
빅데이터 생태계
시장 성장 요인 및 제한 요인
기술, 표준화 및 규정
빅데이터 분석 및 구현 모델
비즈니스 사례, 응용분야 및 보험업계에서의 사용 사례
보험회사, 재보험사, InsurTech 전문가 및 보험업계의 다른 이해관계자들의 빅데이터 투자
사례연구 20개
미래 로드맵 및 가치 체인
빅데이터 생태계의 선두 업체들의 프로필 및 전략
빅데이터 제공업체 및 업계 이해관계자를 위한 전략적 추천
시장 분석 및 2018년부터 2023년까지의 전망
전망 세그먼트: Forecast Segmentation:
본 시장은 아래와 같이 세분화 되어있다:
하드웨어, 소프트웨어 & 전문 서비스
하드웨어
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
소프트웨어
전문 서비스
수평적 하위시장
저장 & 사회 기반시설
네트워킹 인프라
Hadoop & 인프라 소프트웨어
SQL
NoSQL
분석 플랫폼 & 응용분야
클라우드 플랫폼
전문 서비스
응용분야
자동차 보험
재산 & 상해 보험
생명 보험
건강 보험
여러 개의 보험
기타 형식에 보험
재보험
보험 설계사
사용 사례
개인 & 타겟 마케팅
고객 서비스 & 경험
제품 혁신 & 개발
위험 인식 & 제어
정책 관리, 가격 책정 & 보증
클레임 처리 & 관리
사기 탐지 & 예방
사용 & 분석 기반 보험
기타 사용 사례
지역별 시장
아시아 태평양
동유럽
라틴 & 중앙 아메리카
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
중동 & 아프리카
북미
서유럽
국가별 시장
아르헨티나, 호주, 브라질, 캐나다, 중국, 체코, 덴마크, 핀란드, 프랑스, 독일, 인도, 인
도네시아, 이스라엘, 이탈리아, 일본, 말레이시아, 멕시코, 네덜란드, 노르웨이, 파키스
탄, 필리핀, 폴란드, 카타르, 러시아, 사우디 아라비아, 싱가포르, 남아프리카 공화국,
한국, 스페인, 스웨덴, 대만, 태국, UAE, 영국, 미국
주요 질문 답변:
보고서에는 아래와 같은 질문의 답변이 포함되어 있다:
보험업계에서 빅데이터의 기회는 얼마나 큰가?
세그먼트 및 지역별로 시장은 어떻게 변화하고 있나?
2021년의 시장 규모를 어떻게 되며, 어느 정도로 성장할 것인가?
성장에 영향을 미치는 추세, 도전과제 및 한계점은 무엇인가?
빅데이터 주요 소프트웨어, 하드웨어 및 서비스 공급업체는 누구이며 이들의 전략은 무
엇인가?
보험사, 재보험사, InsurTech 전문가 및 기타 이해관계자들은 빅데이터에 얼마나 투자하고
있나?
보험업계에서 빅데이터 분석에는 어떤 기회가 있나?
보험업계에서 빅데이터에 대한 투자는 어느 나라, 응용분야 및 사용 사례에서 가장 높은
퍼센트를 보일 것인가?
보고서에 언급된 회사들:
아래는 보고서에서 검토, 논의 또는 언급된 회사들이다:
1010data
Absolutdata
Accenture
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
Aegon
AeroSpike
Aetna
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
AFS Technologies
Alation
Algorithmia
Allianz Group
Allstate Corporation
Alluxio
Alphabet
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
Apixio
Arcadia Data
Arimo
Arity
ARM
ASF (Apache Software Foundation)
Atidot
AtScale
Attivio
Attunity
Automated Insights
AVORA
AWS (Amazon Web Services)
AXA
Axiomatics
Ayasdi
BackOffice Associates
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Panda
BigML
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BOARD International
Booz Allen Hamilton
Boxever
CACI International
Cambridge Semantics
Cape Analytics
Capgemini
Cazena
Centrifuge Systems
CenturyLink
Chartio
China Life Insurance Company
Cigna
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Concirrus
Concurrent Technology
Confluent
Contexti
Couchbase
Crate.io
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Cray
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Dai-ichi Life Holdings
Databricks
Dataiku
Datalytyx
Datameer
DataRobot
DataStax
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Demandbase
Denodo Technologies
Dianomic Systems
Digital Reasoning Systems
Dimensional Insight
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dremio
DriveScale
Druva
Dundas Data Visualization
DXC Technology
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
ERGO Group
Ericsson
Erwin
EVŌ (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Generali Group
Glassbeam
GNS Healthcare
GoodData Corporation
Grakn Labs
Greenwave Systems
GridGain Systems
Guavus
H2O.ai
Hanse Orga Group
HarperDB
HCL Technologies
Hedvig
Hitachi Vantara
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
HVR
HyperScience
HyTrust
IBM Corporation
iDashboards
IDERA
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Ignite Technologies
Imanis Data
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
InfluxData
Infogix
Infor
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunication Union)
Jedox
Jethro
Jinfonet Software
JMDC Corporation
Juniper Networks
KALEAO
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Keen IO
Kenko-Nenrei Shogaku Tanki Hoken
Keyrus
Kinetica
KNIME
Kognitio
Kyvos Insights
LeanXcale
Lexalytics
Lexmark International
Lightbend
Linux Foundation
Logi Analytics
Logical Clocks
Longview Solutions
Looker Data Sciences
LucidWorks
Luminoso Technologies
Maana
Manthan Software Services
MapD Technologies
MapR Technologies
MariaDB Corporation
MarkLogic Corporation
Mathworks
MEAG (Munich Ergo Asset Management)
Melissa
MemSQL
Metric Insights
MetroMile
Microsoft Corporation
MicroStrategy
Minitab
MongoDB
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Mu Sigma
Munich Re
NEC Corporation
Neo First Life Insurance Company
Neo4j
NetApp
Nimbix
Nokia
Noritsu Koki
NTT Data Corporation
Numerify
NuoDB
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
Objectivity
Oblong Industries
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
ODPi (Open Ecosystem of Big Data)
OGC (Open Geospatial Consortium)
OpenText Corporation
Opera Solutions
Optimal Plus
Optum
OptumLabs
Oracle Corporation
Oscar Health
Palantir Technologies
Panasonic Corporation
Panorama Software
Paxata
Pepperdata
Phocas Software
Pivotal Software
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Prognoz
Progress Software Corporation
Progressive Corporation
Provalis Research
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
RStudio
Rubrik
Ryft
Sailthru
Salesforce.com
Salient Management Company
Samsung Fire & Marine Insurance
Samsung Group
SAP
SAS Institute
ScaleOut Software
Seagate Technology
Sinequa
SiSense
Sizmek
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
SYNTASA
Tableau Software
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
Teradata Corporation
Thales
ThoughtSpot
TIBCO Software
Tidemark
TM Forum
Toshiba Corporation
TPC (Transaction Processing Performance Council)
Transwarp
Trifacta
U.S. NIST (National Institute of Standards and Technology)
Unifi Software
UnitedHealth Group
Unravel Data
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
VANTIQ
Vecima Networks
VMware
VoltDB
W3C (World Wide Web Consortium)
WANdisco
Waterline Data
Western Digital Corporation
WhereScape
WiPro
Wolfram Research
Workday
Xplenty
Yellowfin BI
Yseop
Zendesk
Zoomdata
Zucchetti
Zurich Insurance Group
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
목차
1 도입
1.1 종합 개요
1.2 다룬 주제
1.3 전망 세분화
1.4 주요 질문 답변
1.5 주요 발견
1.6 방법론
1.7 목표로 하는 독자
1.8 언급된 회사 & 기관
2 빅데이터 개요
2.1 빅데이터란 무엇인가?
2.2 빅데이터 처리 주요 과정
2.3 빅데이터 주요 특징
2.4 시장 성장 동인
2.5 시장 한계점
3 빅데이터 분석
3.1 빅데이터 분석이란?
3.2 분석의 중요성
3.3 반작용 vs. 능동적 분석
3.4 소비자 vs. 경영 분석
3.5 기술 & 실행 접근
4 경영 사례 & 금융 서비스 산업내 응용 프로그램
4.1 개요 & 투자 가능성
4.2 산업 특정 시장 성장 동인
4.3 산업 특정 시장 한계점
4.4 주요 응용 프로그램 분야
4.5 사용 사례
5 보험업계 사용 사례
5.1 보험사
5.2 재보험사, InsurTech 전문가 & 기타 이해관계자
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
6 미래 로드맵 & 가치 체인
6.1 미래 로드맵
6.2 빅데이터 가치 체인
7 표준화 & 규제 계획
7.1 ASF (Apache Software Foundation)
7.2 CSA (Cloud Security Alliance)
7.3 CSCC (Cloud Standards Customer Council)
7.4 DMG (Data Mining Group)
7.5 IEEE (Institute of Electrical and Electronics Engineers)
7.6 INCITS (InterNational Committee for Information Technology Standards)
7.7 ISO (International Organization for Standardization)
7.8 ITU (International Telecommunication Union)
7.9 Linux Foundation
7.10 NIST (National Institute of Standards and Technology)
7.11 OASIS (Organization for the Advancement of Structured Information Standards)
7.12 ODaF (Open Data Foundation)
7.13 ODCA (Open Data Center Alliance)
7.14 OGC (Open Geospatial Consortium)
7.15 TM Forum
7.16 TPC (Transaction Processing Performance Council)
7.17 W3C (World Wide Web Consortium)
8 시장 규모 & 전망
8.1 보험업계의 빅데이터 글로벌 전망
8.2 하드웨어, 소프트웨어 & 전문 서비스 세그먼트
8.3 수평 하부시장 세그먼트
8.4 하드웨어 하부시장
8.5 소프트웨어 하부시장
8.6 전문 서비스 하부시장
8.7 응용 프로그램 분야 하부시장
8.8 사용 사례 세그먼트
8.9 지역 전망
8.10 아시아 태평양
8.11 서유럽
8.12 라틴 & 중앙 아메리카
8.13 중동 & 아프리카
8.14 북미
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
8.15 서유럽
9 공급업체 전망
9.1 1010data
9.2 Absolutdata
9.3 Accenture
9.4 Actian Corporation/HCL Technologies
9.5 Adaptive Insights
9.6 Adobe Systems
9.7 Advizor Solutions
9.8 AeroSpike
9.9 AFS Technologies
9.10 Alation
9.11 Algorithmia
9.12 Alluxio
9.13 ALTEN
9.14 Alteryx
9.15 AMD (Advanced Micro Devices)
9.16 Anaconda
9.17 Apixio
9.18 Arcadia Data
9.19 Arimo
9.20 Arity
9.21 ARM
9.22 ASF (Apache Software Foundation)
9.23 AtScale
9.24 Attivio
9.25 Attunity
9.26 Audi
9.27 Automated Insights
9.28 Automobili Lamborghini
9.29 automotiveMastermind
9.30 AVORA
9.31 AWS (Amazon Web Services)
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.32 Axiomatics
9.33 Ayasdi
9.34 BackOffice Associates
9.35 Basho Technologies
9.36 BCG (Boston Consulting Group)
9.37 Bedrock Data
9.38 BetterWorks
9.39 Big Panda
9.40 BigML
9.41 Birst
9.42 Bitam
9.43 Blue Medora
9.44 BlueData Software
9.45 BlueTalon
9.46 BMC Software
9.47 BMW
9.48 BOARD International
9.49 Booz Allen Hamilton
9.50 Bosch
9.51 Boxever
9.52 CACI International
9.53 Cambridge Semantics
9.54 Capgemini
9.55 Cazena
9.56 Centrifuge Systems
9.57 CenturyLink
9.58 Chartio
9.59 Cisco Systems
9.60 Citro?n
9.61 Civis Analytics
9.62 ClearStory Data
9.63 Cloudability
9.64 Cloudera
9.65 Cloudian
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.66 Clustrix
9.67 CognitiveScale
9.68 Collibra
9.69 Concurrent Technology
9.70 Confluent
9.71 Contexti
9.72 Continental
9.73 Couchbase
9.74 Cox Automotive
9.75 Cox Enterprises
9.76 Crate.io
9.77 Cray
9.78 CSA (Cloud Security Alliance)
9.79 CSCC (Cloud Standards Customer Council)
9.80 Daimler
9.81 Dash Labs
9.82 Databricks
9.83 Dataiku
9.84 Datalytyx
9.85 Datameer
9.86 DataRobot
9.87 DataStax
9.88 Datawatch Corporation
9.89 Datos IO
9.90 DDN (DataDirect Networks)
9.91 Decisyon
9.92 Dell Technologies
9.93 Deloitte
9.94 Delphi Automotive
9.95 Demandbase
9.96 Denodo Technologies
9.97 Denso Corporation
9.98 Dianomic Systems
9.99 Digital Reasoning Systems
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.100 Dimensional Insight
9.101 DMG (Data Mining Group)
9.102 Dolphin Enterprise Solutions Corporation
9.103 Domino Data Lab
9.104 Domo
9.105 Dongfeng Motor Corporation
9.106 Dremio
9.107 DriveScale
9.108 Druva
9.109 DS Automobiles
9.110 Ducati
9.111 Dundas Data Visualization
9.112 DXC Technology
9.113 Elastic
9.114 Engineering Group (Engineering Ingegneria Informatica)
9.115 EnterpriseDB Corporation
9.116 eQ Technologic
9.117 Ericsson
9.118 Erwin
9.119 EV? (Big Cloud Analytics)
9.120 EXASOL
9.121 EXL (ExlService Holdings)
9.122 Facebook
9.123 FCA (Fiat Chrysler Automobiles)
9.124 FICO (Fair Isaac Corporation)
9.125 Figure Eight
9.126 FogHorn Systems
9.127 Ford Motor Company
9.128 Fractal Analytics
9.129 Franz
9.130 Fujitsu
9.131 Fuzzy Logix
9.132 Gainsight
9.133 GE (General Electric)
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.134 Geely (Zhejiang Geely Holding Group)
9.135 Glassbeam
9.136 GM (General Motors Company)
9.137 GoodData Corporation
9.138 Google
9.139 Grakn Labs
9.140 Greenwave Systems
9.141 GridGain Systems
9.142 Groupe PSA
9.143 Groupe Renault
9.144 Guavus
9.145 H2O.ai
9.146 Hanse Orga Group
9.147 HarperDB
9.148 HCL Technologies
9.149 Hedvig
9.150 HERE
9.151 Hitachi Vantara
9.152 Honda Motor Company
9.153 Hortonworks
9.154 HPE (Hewlett Packard Enterprise)
9.155 Huawei
9.156 HVR
9.157 HyperScience
9.158 HyTrust
9.159 Hyundai Motor Company
9.160 IBM Corporation
9.161 iDashboards
9.162 IDERA
9.163 IEC (International Electrotechnical Commission)
9.164 IEEE (Institute of Electrical and Electronics Engineers)
9.165 Ignite Technologies
9.166 Imanis Data
9.167 Impetus Technologies
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.168 INCITS (InterNational Committee for Information Technology Standards)
9.169 Incorta
9.170 InetSoft Technology Corporation
9.171 InfluxData
9.172 Infogix
9.173 Infor
9.174 Informatica
9.175 Information Builders
9.176 Infosys
9.177 Infoworks
9.178 Insightsoftware.com
9.179 InsightSquared
9.180 Intel Corporation
9.181 Interana
9.182 InterSystems Corporation
9.183 ISO (International Organization for Standardization)
9.184 ITU (International Telecommunication Union)
9.185 Jaguar Land Rover
9.186 Jedox
9.187 Jethro
9.188 Jinfonet Software
9.189 Juniper Networks
9.190 KALEAO
9.191 KDDI Corporation
9.192 Keen IO
9.193 Keyrus
9.194 Kinetica
9.195 KNIME
9.196 Kognitio
9.197 Kyvos Insights
9.198 LeanXcale
9.199 Lexalytics
9.200 Lexmark International
9.201 Lightbend
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.202 Linux Foundation
9.203 Logi Analytics
9.204 Logical Clocks
9.205 Longview Solutions
9.206 Looker Data Sciences
9.207 LucidWorks
9.208 Luminoso Technologies
9.209 Lytx
9.210 Maana
9.211 Manthan Software Services
9.212 MapD Technologies
9.213 MapR Technologies
9.214 MariaDB Corporation
9.215 MarkLogic Corporation
9.216 Mathworks
9.217 Mazda Motor Corporation
9.218 Melissa
9.219 MemSQL
9.220 Mercedes-Benz
9.221 METI (Ministry of Economy, Trade and Industry, Japan)
9.222 Metric Insights
9.223 Michelin
9.224 Microsoft Corporation
9.225 MicroStrategy
9.226 Minitab
9.227 Mobileye
9.228 MongoDB
9.229 Mu Sigma
9.230 NEC Corporation
9.231 Neo4j
9.232 NetApp
9.233 Nimbix
9.234 Nissan Motor Company
9.235 Nokia
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.236 NTT Data Corporation
9.237 NTT DoCoMo
9.238 Numerify
9.239 NuoDB
9.240 NVIDIA Corporation
9.241 OASIS (Organization for the Advancement of Structured Information Standards)
9.242 Objectivity
9.243 Oblong Industries
9.244 ODaF (Open Data Foundation)
9.245 ODCA (Open Data Center Alliance)
9.246 OGC (Open Geospatial Consortium)
9.247 OpenText Corporation
9.248 Opera Solutions
9.249 Optimal Plus
9.250 Oracle Corporation
9.251 Otonomo
9.252 Palantir Technologies
9.253 Panasonic Corporation
9.254 Panorama Software
9.255 Paxata
9.256 Pepperdata
9.257 Peugeot
9.258 Phocas Software
9.259 Pivotal Software
9.260 Prognoz
9.261 Progress Software Corporation
9.262 Progressive Corporation
9.263 Provalis Research
9.264 Pure Storage
9.265 PwC (PricewaterhouseCoopers International)
9.266 Pyramid Analytics
9.267 Qlik
9.268 Qrama/Tengu
9.269 Quantum Corporation
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.270 Qubole
9.271 Rackspace
9.272 Radius Intelligence
9.273 RapidMiner
9.274 Recorded Future
9.275 Red Hat
9.276 Redis Labs
9.277 RedPoint Global
9.278 Reltio
9.279 RStudio
9.280 Rubrik
9.281 Ryft
9.282 SAIC Motor Corporation
9.283 Sailthru
9.284 Salesforce.com
9.285 Salient Management Company
9.286 Samsung Group
9.287 SAP
9.288 SAS Institute
9.289 ScaleOut Software
9.290 Seagate Technology
9.291 Sinequa
9.292 SiSense
9.293 Sizmek
9.294 SnapLogic
9.295 Snowflake Computing
9.296 Software AG
9.297 Splice Machine
9.298 Splunk
9.299 Strategy Companion Corporation
9.300 Stratio
9.301 Streamlio
9.302 StreamSets
9.303 Striim
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.304 Subaru
9.305 Sumo Logic
9.306 Supermicro (Super Micro Computer)
9.307 Suzuki Motor Corporation
9.308 Syncsort
9.309 SynerScope
9.310 SYNTASA
9.311 Tableau Software
9.312 Talend
9.313 Tamr
9.314 TARGIT
9.315 Tata Motors
9.316 TCS (Tata Consultancy Services)
9.317 Teradata Corporation
9.318 Tesla
9.319 Thales
9.320 ThoughtSpot
9.321 THTA (Tokyo Hire-Taxi Association)
9.322 TIBCO Software
9.323 Tidemark
9.324 TM Forum
9.325 Toshiba Corporation
9.326 Toyota Motor Corporation
9.327 TPC (Transaction Processing Performance Council)
9.328 Transwarp
9.329 Trifacta
9.330 U.S. FTC (Federal Trade Commission)
9.331 U.S. NIST (National Institute of Standards and Technology)
9.332 U.S. Xpress
9.333 Uber Technologies
9.334 Unifi Software
9.335 Unravel Data
9.336 Valens
9.337 VANTIQ
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.338 Vecima Networks
9.339 VMware
9.340 Volkswagen Group
9.341 VoltDB
9.342 Volvo Cars
9.343 W3C (World Wide Web Consortium)
9.344 WANdisco
9.345 Waterline Data
9.346 Western Digital Corporation
9.347 WhereScape
9.348 WiPro
9.349 Wolfram Research
9.350 Workday
9.351 Xevo
9.352 Xplenty
9.353 Yellowfin BI
9.354 Yseop
9.355 Zendesk
9.356 Zoomdata
9.357 Zucchetti
10 결론 & 전략적 추천
10.1 시장이 성장하는 이유는 무엇인가?
10.2 지역 전망: 어느 나라가 가장 성장 가능성이 있는가?
10.3 빅데이터는 모두를 위한 것이다
10.4 보험사를 위한 빅데이터의 비즈니스 가치 분석
10.5 위험관리 변화
10.6 사이버 범죄 & 일부 보험의 위험
10.7 사용 & 분석 기반 보험으로 전환 가속화
10.8 데이터 기반 서비스로 고객 기대치 충족
10.9 AI 및 기계 학습의 중요성
10.10 빅데이터 처리에 대한 블록 체인의 영향
10.11 사내 시스템 제한사항을 해결하기 위한 클라우드 플랫폼 채택
10.12 데이터 보안 및 개인 정보 보호 관련
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
10.13 권장 사항
언급된 회사들
1010data
Absolutdata
Accenture
ACEA (European Automobile Manufacturers’ Association)
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Allstate Corporation
Alluxio
Alphabet
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
1010data
Absolutdata
Accenture
ACEA (European Automobile Manufacturers’ Association)
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Allstate Corporation
Alluxio
Alphabet
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
Apixio
Arcadia Data
Arimo
Arity
ARM
ASF (Apache Software Foundation)
AtScale
Attivio
Attunity
Audi
Automated Insights
Automobili Lamborghini
automotiveMastermind
AVORA
AWS (Amazon Web Services)
Axiomatics
Ayasdi
BackOffice Associates
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Panda
BigML
Birst
Bitam
Blue Medora
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
BlueData Software
BlueTalon
BMC Software
BMW
BOARD International
Booz Allen Hamilton
Bosch
Boxever
CACI International
Cambridge Semantics
Capgemini
Cazena
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Citro?n
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Concurrent Technology
Confluent
Contexti
Continental
Couchbase
Cox Automotive
Cox Enterprises
Crate.io
Cray
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Daimler
Dash Labs
Databricks
Dataiku
Datalytyx
Datameer
DataRobot
DataStax
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Delphi Automotive
Demandbase
Denodo Technologies
Denso Corporation
Dianomic Systems
Digital Reasoning Systems
Dimensional Insight
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dongfeng Motor Corporation
Dremio
DriveScale
Druva
DS Automobiles
Ducati
Dundas Data Visualization
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
DXC Technology
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
Ericsson
Erwin
EV? (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
FCA (Fiat Chrysler Automobiles)
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Ford Motor Company
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Geely (Zhejiang Geely Holding Group)
Glassbeam
GM (General Motors Company)
GoodData Corporation
Grakn Labs
Greenwave Systems
GridGain Systems
Groupe PSA
Groupe Renault
Guavus
H2O.ai
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Hanse Orga Group
HarperDB
HCL Technologies
Hedvig
HERE
Hitachi Vantara
Honda Motor Company
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
HVR
HyperScience
HyTrust
Hyundai Motor Company
IBM Corporation
iDashboards
IDERA
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Ignite Technologies
Imanis Data
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
InfluxData
Infogix
Infor
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunication Union)
Jaguar Land Rover
Jedox
Jethro
Jinfonet Software
Juniper Networks
KALEAO
KDDI Corporation
Keen IO
Keyrus
Kinetica
KNIME
Kognitio
Kyvos Insights
LeanXcale
Lexalytics
Lexmark International
Lightbend
Linux Foundation
Logi Analytics
Logical Clocks
Longview Solutions
Looker Data Sciences
LucidWorks
Luminoso Technologies
Lytx
Maana
Manthan Software Services
MapD Technologies
MapR Technologies
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
MariaDB Corporation
MarkLogic Corporation
Mathworks
Mazda Motor Corporation
Melissa
MemSQL
Mercedes-Benz
METI (Ministry of Economy, Trade and Industry, Japan)
Metric Insights
Michelin
Microsoft Corporation
MicroStrategy
Minitab
Mobileye
MongoDB
Mu Sigma
NEC Corporation
Neo4j
NetApp
Nimbix
Nissan Motor Company
Nokia
NTT Data Corporation
NTT DoCoMo
Numerify
NuoDB
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
Objectivity
Oblong Industries
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
OGC (Open Geospatial Consortium)
OpenText Corporation
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Opera Solutions
Optimal Plus
Oracle Corporation
Otonomo
Palantir Technologies
Panasonic Corporation
Panorama Software
Paxata
Pepperdata
Peugeot
Phocas Software
Pivotal Software
Prognoz
Progress Software Corporation
Progressive Corporation
Provalis Research
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
RStudio
Rubrik
Ryft
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
SAIC Motor Corporation
Sailthru
Salesforce.com
Salient Management Company
Samsung Group
SAP
SAS Institute
ScaleOut Software
Seagate Technology
Sinequa
SiSense
Sizmek
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Subaru
Sumo Logic
Supermicro (Super Micro Computer)
Suzuki Motor Corporation
Syncsort
SynerScope
SYNTASA
Tableau Software
Talend
Tamr
TARGIT
Tata Motors
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
TCS (Tata Consultancy Services)
Teradata Corporation
Tesla
Thales
ThoughtSpot
THTA (Tokyo Hire-Taxi Association)
TIBCO Software
Tidemark
TM Forum
Toshiba Corporation
Toyota Motor Corporation
TPC (Transaction Processing Performance Council)
Transwarp
Trifacta
U.S. FTC (Federal Trade Commission)
U.S. NIST (National Institute of Standards and Technology)
U.S. Xpress
Uber Technologies
Unifi Software
Unravel Data
Valens
VANTIQ
Vecima Networks
VMware
Volkswagen Group
VoltDB
Volvo Cars
W3C (World Wide Web Consortium)
WANdisco
Waterline Data
Western Digital Corporation
WhereScape
WiPro
Wolfram Research
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Workday
Xevo
Xplenty
Yellowfin BI
Yseop
Zendesk
Zoomdata
Zucchetti
보고서 문의
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges,
Strategies & Forecasts
Publisher: SNS Telecom & IT / Date: 2018-08-03 / Page: 500 / Price: Single User PDF; $2,500
Summary
Synopsis: “Big Data” originally emerged as a term to describe datasets whose size is beyond the
ability of traditional databases to capture, store, manage and analyze. However, the scope of the term
has significantly expanded over the years. Big Data not only refers to the data itself but also a set of
technologies that capture, store, manage and analyze large and variable collections of data, to solve
complex problems.
Amid the proliferation of real-time and historical data from sources such as connected devices, web,
social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from
a diverse range of vertical sectors. The insurance industry is no exception to this trend, where Big
Data has found a host of applications ranging from targeted marketing and personalized products to
usage-based insurance, efficient claims processing, proactive fraud detection and beyond.
SNS Telecom & IT estimates that Big Data investments in the insurance industry will account for more
than $2.4 Billion in 2018 alone. Led by a plethora of business opportunities for insurers, reinsurers,
insurance brokers, InsurTech specialists and other stakeholders, these investments are further
expected to grow at a CAGR of approximately 14% over the next three years.
The “Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges, Strategies &
Forecasts” report presents an in-depth assessment of Big Data in the insurance industry including key
market drivers, challenges, investment potential, application areas, use cases, future roadmap, value
chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for
Big Data hardware, software and professional services investments from 2018 through to 2030. The
forecasts are segmented for 8 horizontal submarkets, 8 application areas, 9 use cases, 6 regions and
35 countries.
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Key Findings:
The report has the following key findings:
In 2018, Big Data vendors will pocket more than $2.4 Billion from hardware, software and
professional services revenues in the insurance industry. These investments are further
expected to grow at a CAGR of approximately 14% over the next three years, eventually
accounting for nearly $3.6 Billion by the end of 2021.
Through the use of Big Data technologies, insurers and other stakeholders are beginning to
exploit their data assets in a number of innovative ways ranging from targeted marketing and
personalized products to usage-based insurance, efficient claims processing, proactive fraud
detection and beyond.
The growing adoption of Big Data technologies has brought about an array of benefits for
insurers and other stakeholders. Based on feedback from insurers worldwide, these include
but are not limited to an increase in access to insurance services by more than 30%, a
reduction in policy administration workload by up to 50%, prediction of large loss claims with
an accuracy of nearly 80%, cost savings in claims processing and management by 40-70%,
accelerated processing of non-emergency insurance claims by a staggering 90%; and
improvements in fraud detection rates by as much as 60%.
In addition, Big Data technologies are playing a pivotal role in facilitating the adoption of on-
demand insurance models – particularly in auto, life and health insurance, as well as the
insurance of new and underinsured risks such as cyber crime.
Topics Covered:
The report covers the following topics:
Big Data ecosystem
Market drivers and barriers
Enabling technologies, standardization and regulatory initiatives
Big Data analytics and implementation models
Business case, application areas and use cases in the insurance industry
20 case studies of Big Data investments by insurers, reinsurers, InsurTech specialists and
other stakeholders in the insurance industry
Future roadmap and value chain
Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
Strategic recommendations for Big Data vendors and insurance industry stakeholders
Market analysis and forecasts from 2018 till 2030
Forecast Segmentation:
Market forecasts are provided for each of the following submarkets and their categories:
Hardware, Software & Professional Services
o Hardware
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
o Software
o Professional Services
Horizontal Submarkets
o Storage & Compute Infrastructure
o Networking Infrastructure
o Hadoop & Infrastructure Software
o SQL
o NoSQL
o Analytic Platforms & Applications
o Cloud Platforms
o Professional Services
Application Areas
o Auto Insurance
o Property & Casualty Insurance
o Life Insurance
o Health Insurance
o Multi-Line Insurance
o Other Forms of Insurance
o Reinsurance
o Insurance Broking
Use Cases
o Personalized & Targeted Marketing
o Customer Service & Experience
o Product Innovation & Development
o Risk Awareness & Control
o Policy Administration, Pricing & Underwriting
o Claims Processing & Management
o Fraud Detection & Prevention
o Usage & Analytics-Based Insurance
o Other Use Cases
Regional Markets
o Asia Pacific
o Eastern Europe
o Latin & Central America
o Middle East & Africa
o North America
o Western Europe
Country Markets
o Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland,
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico,
Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia,
Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE,
UK, USA
Key Questions Answered:
The report provides answers to the following key questions:
How big is the Big Data opportunity in the insurance industry?
How is the market evolving by segment and region?
What will the market size be in 2021, and at what rate will it grow?
What trends, challenges and barriers are influencing its growth?
Who are the key Big Data software, hardware and services vendors, and what are their
strategies?
How much are insurers, reinsurers, InsurTech specialists and other stakeholders investing in
Big Data?
What opportunities exist for Big Data analytics in the insurance industry?
Which countries, application areas and use cases will see the highest percentage of Big Data
investments in the insurance industry?
List of Companies Mentioned:
The following companies and organizations have been reviewed, discussed or mentioned in the
report:
1010data
Absolutdata
Accenture
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
Aegon
AeroSpike
Aetna
AFS Technologies
Alation
Algorithmia
Allianz Group
Allstate Corporation
Alluxio
Alphabet
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
Apixio
Arcadia Data
Arimo
Arity
ARM
ASF (Apache Software Foundation)
Atidot
AtScale
Attivio
Attunity
Automated Insights
AVORA
AWS (Amazon Web Services)
AXA
Axiomatics
Ayasdi
BackOffice Associates
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Panda
BigML
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BOARD International
Booz Allen Hamilton
Boxever
CACI International
Cambridge Semantics
Cape Analytics
Capgemini
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Cazena
Centrifuge Systems
CenturyLink
Chartio
China Life Insurance Company
Cigna
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Concirrus
Concurrent Technology
Confluent
Contexti
Couchbase
Crate.io
Cray
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Dai-ichi Life Holdings
Databricks
Dataiku
Datalytyx
Datameer
DataRobot
DataStax
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Demandbase
Denodo Technologies
Dianomic Systems
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Digital Reasoning Systems
Dimensional Insight
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dremio
DriveScale
Druva
Dundas Data Visualization
DXC Technology
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
ERGO Group
Ericsson
Erwin
EVŌ (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Generali Group
Glassbeam
GNS Healthcare
GoodData Corporation
Grakn Labs
Greenwave Systems
GridGain Systems
Guavus
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
H2O.ai
Hanse Orga Group
HarperDB
HCL Technologies
Hedvig
Hitachi Vantara
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
HVR
HyperScience
HyTrust
IBM Corporation
iDashboards
IDERA
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Ignite Technologies
Imanis Data
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
InfluxData
Infogix
Infor
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunication Union)
Jedox
Jethro
Jinfonet Software
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
JMDC Corporation
Juniper Networks
KALEAO
Keen IO
Kenko-Nenrei Shogaku Tanki Hoken
Keyrus
Kinetica
KNIME
Kognitio
Kyvos Insights
LeanXcale
Lexalytics
Lexmark International
Lightbend
Linux Foundation
Logi Analytics
Logical Clocks
Longview Solutions
Looker Data Sciences
LucidWorks
Luminoso Technologies
Maana
Manthan Software Services
MapD Technologies
MapR Technologies
MariaDB Corporation
MarkLogic Corporation
Mathworks
MEAG (Munich Ergo Asset Management)
Melissa
MemSQL
Metric Insights
MetroMile
Microsoft Corporation
MicroStrategy
Minitab
MongoDB
Mu Sigma
Munich Re
NEC Corporation
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Neo First Life Insurance Company
Neo4j
NetApp
Nimbix
Nokia
Noritsu Koki
NTT Data Corporation
Numerify
NuoDB
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
Objectivity
Oblong Industries
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
ODPi (Open Ecosystem of Big Data)
OGC (Open Geospatial Consortium)
OpenText Corporation
Opera Solutions
Optimal Plus
Optum
OptumLabs
Oracle Corporation
Oscar Health
Palantir Technologies
Panasonic Corporation
Panorama Software
Paxata
Pepperdata
Phocas Software
Pivotal Software
Prognoz
Progress Software Corporation
Progressive Corporation
Provalis Research
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
RStudio
Rubrik
Ryft
Sailthru
Salesforce.com
Salient Management Company
Samsung Fire & Marine Insurance
Samsung Group
SAP
SAS Institute
ScaleOut Software
Seagate Technology
Sinequa
SiSense
Sizmek
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
SYNTASA
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Tableau Software
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
Teradata Corporation
Thales
ThoughtSpot
TIBCO Software
Tidemark
TM Forum
Toshiba Corporation
TPC (Transaction Processing Performance Council)
Transwarp
Trifacta
U.S. NIST (National Institute of Standards and Technology)
Unifi Software
UnitedHealth Group
Unravel Data
VANTIQ
Vecima Networks
VMware
VoltDB
W3C (World Wide Web Consortium)
WANdisco
Waterline Data
Western Digital Corporation
WhereScape
WiPro
Wolfram Research
Workday
Xplenty
Yellowfin BI
Yseop
Zendesk
Zoomdata
Zucchetti
Zurich Insurance Group
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Table of Contents
Table of Contents
1 Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned
2 Chapter 2: An Overview of Big Data
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.2.1 Hadoop
2.2.2 NoSQL
2.2.3 MPAD (Massively Parallel Analytic Databases)
2.2.4 In-Memory Processing
2.2.5 Stream Processing Technologies
2.2.6 Spark
2.2.7 Other Databases & Analytic Technologies
2.3 Key Characteristics of Big Data
2.3.1 Volume
2.3.2 Velocity
2.3.3 Variety
2.3.4 Value
2.4 Market Growth Drivers
2.4.1 Awareness of Benefits
2.4.2 Maturation of Big Data Platforms
2.4.3 Continued Investments by Web Giants, Governments & Enterprises
2.4.4 Growth of Data Volume, Velocity & Variety
2.4.5 Vendor Commitments & Partnerships
2.4.6 Technology Trends Lowering Entry Barriers
2.5 Market Barriers
2.5.1 Lack of Analytic Specialists
2.5.2 Uncertain Big Data Strategies
2.5.3 Organizational Resistance to Big Data Adoption
2.5.4 Technical Challenges: Scalability & Maintenance
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
2.5.5 Security & Privacy Concerns
3 Chapter 3: Big Data Analytics
3.1 What are Big Data Analytics?
3.2 The Importance of Analytics
3.3 Reactive vs. Proactive Analytics
3.4 Customer vs. Operational Analytics
3.5 Technology & Implementation Approaches
3.5.1 Grid Computing
3.5.2 In-Database Processing
3.5.3 In-Memory Analytics
3.5.4 Machine Learning & Data Mining
3.5.5 Predictive Analytics
3.5.6 NLP (Natural Language Processing)
3.5.7 Text Analytics
3.5.8 Visual Analytics
3.5.9 Graph Analytics
3.5.10 Social Media, IT & Telco Network Analytics
4 Chapter 4: Business Case & Applications in the Insurance Industry
4.1 Overview & Investment Potential
4.2 Industry Specific Market Growth Drivers
4.3 Industry Specific Market Barriers
4.4 Key Application Areas
4.4.1 Auto Insurance
4.4.2 Property & Casualty Insurance
4.4.3 Life Insurance
4.4.4 Health Insurance
4.4.5 Multi-Line Insurance
4.4.6 Other Forms of Insurance
4.4.7 Reinsurance
4.4.8 Insurance Broking
4.5 Use Cases
4.5.1 Personalized & Targeted Marketing
4.5.2 Customer Service & Experience
4.5.3 Product Innovation & Development
4.5.4 Risk Awareness & Control
4.5.5 Policy Administration, Pricing & Underwriting
4.5.6 Claims Processing & Management
4.5.7 Fraud Detection & Prevention
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
4.5.8 Usage & Analytics-Based Insurance
4.5.9 Other Use Cases
5 Chapter 5: Insurance Industry Case Studies
5.1 Insurers
5.1.1 Aegon: Driving Customer Engagement & Sales with Big Data
5.1.2 Aetna: Predicting & Improving Health with Big Data
5.1.3 Allianz Group: Uncovering Insurance Fraud with Big Data
5.1.4 Allstate Corporation & Arity: Making Transportation Safer & Smarter with Big Data
5.1.5 AXA: Simplifying Customer Interaction with Big Data
5.1.6 China Life Insurance Company: Elevating Risk Awareness with Big Data
5.1.7 Cigna: Streamlining Health Insurance Claims with Big Data
5.1.8 Dai-ichi Life Holdings: Unlocking & Opening Doors to Life Insurance with Big Data
5.1.9 Generali Group: Digitizing the Insurance Value Chain with Big Data
5.1.10 Progressive Corporation: Rewarding Safe Drivers & Improving Traffic Safety with Big Data
5.1.11 Samsung Fire & Marine Insurance: Transforming Insurance Underwriting with Big Data
5.1.12 UnitedHealth Group: Enhancing Patient Care & Value with Big Data
5.1.13 Zurich Insurance Group: Improving Risk Management with Big Data
5.2 Reinsurers, InsurTech Specialists & Other Stakeholders
5.2.1 Atidot: Empowering Life Insurance with Big Data
5.2.2 Cape Analytics: Delivering Instant Property Intelligence with Big Data
5.2.3 Concirrus: Enabling Smarter Marine & Auto Insurance with Big Data
5.2.4 JMDC Corporation: Optimizing Health Insurance Premiums with Big Data
5.2.5 MetroMile: Revolutionizing Auto Insurance with Big Data
5.2.6 Munich Re: Pioneering Cyber Insurance with Big Data
5.2.7 Oscar Health: Humanizing Health Insurance with Big Data
6 Chapter 6: Future Roadmap & Value Chain
6.1 Future Roadmap
6.1.1 Pre-2020: Investments in Advanced Analytics & AI (Artificial Intelligence)
6.1.2 2020 ? 2025: Large-Scale Adoption of Usage & Analytics-Based Insurance
6.1.3 2025 ? 2030: Towards the Digitization of Insurance Services
6.2 The Big Data Value Chain
6.2.1 Hardware Providers
6.2.1.1 Storage & Compute Infrastructure Providers
6.2.1.2 Networking Infrastructure Providers
6.2.2 Software Providers
6.2.2.1 Hadoop & Infrastructure Software Providers
6.2.2.2 SQL & NoSQL Providers
6.2.2.3 Analytic Platform & Application Software Providers
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
6.2.2.4 Cloud Platform Providers
6.2.3 Professional Services Providers
6.2.4 End-to-End Solution Providers
6.2.5 Insurance Industry
7 Chapter 7: Standardization & Regulatory Initiatives
7.1 ASF (Apache Software Foundation)
7.1.1 Management of Hadoop
7.1.2 Big Data Projects Beyond Hadoop
7.2 CSA (Cloud Security Alliance)
7.2.1 BDWG (Big Data Working Group)
7.3 CSCC (Cloud Standards Customer Council)
7.3.1 Big Data Working Group
7.4 DMG (Data Mining Group)
7.4.1 PMML (Predictive Model Markup Language) Working Group
7.4.2 PFA (Portable Format for Analytics) Working Group
7.5 IEEE (Institute of Electrical and Electronics Engineers)
7.5.1 Big Data Initiative
7.6 INCITS (InterNational Committee for Information Technology Standards)
7.6.1 Big Data Technical Committee
7.7 ISO (International Organization for Standardization)
7.7.1 ISO/IEC JTC 1/SC 32: Data Management and Interchange
7.7.2 ISO/IEC JTC 1/SC 38: Cloud Computing and Distributed Platforms
7.7.3 ISO/IEC JTC 1/SC 27: IT Security Techniques
7.7.4 ISO/IEC JTC 1/WG 9: Big Data
7.7.5 Collaborations with Other ISO Work Groups
7.8 ITU (International Telecommunication Union)
7.8.1 ITU-T Y.3600: Big Data ? Cloud Computing Based Requirements and Capabilities
7.8.2 Other Deliverables Through SG (Study Group) 13 on Future Networks
7.8.3 Other Relevant Work
7.9 Linux Foundation
7.9.1 ODPi (Open Ecosystem of Big Data)
7.10 NIST (National Institute of Standards and Technology)
7.10.1 NBD-PWG (NIST Big Data Public Working Group)
7.11 OASIS (Organization for the Advancement of Structured Information Standards)
7.11.1 Technical Committees
7.12 ODaF (Open Data Foundation)
7.12.1 Big Data Accessibility
7.13 ODCA (Open Data Center Alliance)
7.13.1 Work on Big Data
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
7.14 OGC (Open Geospatial Consortium)
7.14.1 Big Data DWG (Domain Working Group)
7.15 TM Forum
7.15.1 Big Data Analytics Strategic Program
7.16 TPC (Transaction Processing Performance Council)
7.16.1 TPC-BDWG (TPC Big Data Working Group)
7.17 W3C (World Wide Web Consortium)
7.17.1 Big Data Community Group
7.17.2 Open Government Community Group
8 Chapter 8: Market Sizing & Forecasts
8.1 Global Outlook for the Big Data in the Insurance Industry
8.2 Hardware, Software & Professional Services Segmentation
8.3 Horizontal Submarket Segmentation
8.4 Hardware Submarkets
8.4.1 Storage and Compute Infrastructure
8.4.2 Networking Infrastructure
8.5 Software Submarkets
8.5.1 Hadoop & Infrastructure Software
8.5.2 SQL
8.5.3 NoSQL
8.5.4 Analytic Platforms & Applications
8.5.5 Cloud Platforms
8.6 Professional Services Submarket
8.6.1 Professional Services
8.7 Application Area Segmentation
8.7.1 Auto Insurance
8.7.2 Property & Casualty Insurance
8.7.3 Life Insurance
8.7.4 Health Insurance
8.7.5 Multi-Line Insurance
8.7.6 Other Forms of Insurance
8.7.7 Reinsurance
8.7.8 Insurance Broking
8.8 Use Case Segmentation
8.8.1 Personalized & Targeted Marketing
8.8.2 Customer Service & Experience
8.8.3 Product Innovation & Development
8.8.4 Risk Awareness & Control
8.8.5 Policy Administration, Pricing & Underwriting
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
8.8.6 Claims Processing & Management
8.8.7 Fraud Detection & Prevention
8.8.8 Usage & Analytics-Based Insurance
8.8.9 Other Use Cases
8.9 Regional Outlook
8.10 Asia Pacific
8.10.1 Country Level Segmentation
8.10.2 Australia
8.10.3 China
8.10.4 India
8.10.5 Indonesia
8.10.6 Japan
8.10.7 Malaysia
8.10.8 Pakistan
8.10.9 Philippines
8.10.10 Singapore
8.10.11 South Korea
8.10.12 Taiwan
8.10.13 Thailand
8.10.14 Rest of Asia Pacific
8.11 Eastern Europe
8.11.1 Country Level Segmentation
8.11.2 Czech Republic
8.11.3 Poland
8.11.4 Russia
8.11.5 Rest of Eastern Europe
8.12 Latin & Central America
8.12.1 Country Level Segmentation
8.12.2 Argentina
8.12.3 Brazil
8.12.4 Mexico
8.12.5 Rest of Latin & Central America
8.13 Middle East & Africa
8.13.1 Country Level Segmentation
8.13.2 Israel
8.13.3 Qatar
8.13.4 Saudi Arabia
8.13.5 South Africa
8.13.6 UAE
8.13.7 Rest of the Middle East & Africa
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
8.14 North America
8.14.1 Country Level Segmentation
8.14.2 Canada
8.14.3 USA
8.15 Western Europe
8.15.1 Country Level Segmentation
8.15.2 Denmark
8.15.3 Finland
8.15.4 France
8.15.5 Germany
8.15.6 Italy
8.15.7 Netherlands
8.15.8 Norway
8.15.9 Spain
8.15.10 Sweden
8.15.11 UK
8.15.12 Rest of Western Europe
9 Chapter 9: Vendor Landscape
9.1 1010data
9.2 Absolutdata
9.3 Accenture
9.4 Actian Corporation/HCL Technologies
9.5 Adaptive Insights
9.6 Adobe Systems
9.7 Advizor Solutions
9.8 AeroSpike
9.9 AFS Technologies
9.10 Alation
9.11 Algorithmia
9.12 Alluxio
9.13 ALTEN
9.14 Alteryx
9.15 AMD (Advanced Micro Devices)
9.16 Anaconda
9.17 Apixio
9.18 Arcadia Data
9.19 ARM
9.20 AtScale
9.21 Attivio
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.22 Attunity
9.23 Automated Insights
9.24 AVORA
9.25 AWS (Amazon Web Services)
9.26 Axiomatics
9.27 Ayasdi
9.28 BackOffice Associates
9.29 Basho Technologies
9.30 BCG (Boston Consulting Group)
9.31 Bedrock Data
9.32 BetterWorks
9.33 Big Panda
9.34 BigML
9.35 Bitam
9.36 Blue Medora
9.37 BlueData Software
9.38 BlueTalon
9.39 BMC Software
9.40 BOARD International
9.41 Booz Allen Hamilton
9.42 Boxever
9.43 CACI International
9.44 Cambridge Semantics
9.45 Capgemini
9.46 Cazena
9.47 Centrifuge Systems
9.48 CenturyLink
9.49 Chartio
9.50 Cisco Systems
9.51 Civis Analytics
9.52 ClearStory Data
9.53 Cloudability
9.54 Cloudera
9.55 Cloudian
9.56 Clustrix
9.57 CognitiveScale
9.58 Collibra
9.59 Concurrent Technology/Vecima Networks
9.60 Confluent
9.61 Contexti
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.62 Couchbase
9.63 Crate.io
9.64 Cray
9.65 Databricks
9.66 Dataiku
9.67 Datalytyx
9.68 Datameer
9.69 DataRobot
9.70 DataStax
9.71 Datawatch Corporation
9.72 DDN (DataDirect Networks)
9.73 Decisyon
9.74 Dell Technologies
9.75 Deloitte
9.76 Demandbase
9.77 Denodo Technologies
9.78 Dianomic Systems
9.79 Digital Reasoning Systems
9.80 Dimensional Insight
9.81 Dolphin Enterprise Solutions Corporation/Hanse Orga Group
9.82 Domino Data Lab
9.83 Domo
9.84 Dremio
9.85 DriveScale
9.86 Druva
9.87 Dundas Data Visualization
9.88 DXC Technology
9.89 Elastic
9.90 Engineering Group (Engineering Ingegneria Informatica)
9.91 EnterpriseDB Corporation
9.92 eQ Technologic
9.93 Ericsson
9.94 Erwin
9.95 EV? (Big Cloud Analytics)
9.96 EXASOL
9.97 EXL (ExlService Holdings)
9.98 Facebook
9.99 FICO (Fair Isaac Corporation)
9.100 Figure Eight
9.101 FogHorn Systems
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.102 Fractal Analytics
9.103 Franz
9.104 Fujitsu
9.105 Fuzzy Logix
9.106 Gainsight
9.107 GE (General Electric)
9.108 Glassbeam
9.109 GoodData Corporation
9.110 Google/Alphabet
9.111 Grakn Labs
9.112 Greenwave Systems
9.113 GridGain Systems
9.114 H2O.ai
9.115 HarperDB
9.116 Hedvig
9.117 Hitachi Vantara
9.118 Hortonworks
9.119 HPE (Hewlett Packard Enterprise)
9.120 Huawei
9.121 HVR
9.122 HyperScience
9.123 HyTrust
9.124 IBM Corporation
9.125 iDashboards
9.126 IDERA
9.127 Ignite Technologies
9.128 Imanis Data
9.129 Impetus Technologies
9.130 Incorta
9.131 InetSoft Technology Corporation
9.132 InfluxData
9.133 Infogix
9.134 Infor/Birst
9.135 Informatica
9.136 Information Builders
9.137 Infosys
9.138 Infoworks
9.139 Insightsoftware.com
9.140 InsightSquared
9.141 Intel Corporation
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.142 Interana
9.143 InterSystems Corporation
9.144 Jedox
9.145 Jethro
9.146 Jinfonet Software
9.147 Juniper Networks
9.148 KALEAO
9.149 Keen IO
9.150 Keyrus
9.151 Kinetica
9.152 KNIME
9.153 Kognitio
9.154 Kyvos Insights
9.155 LeanXcale
9.156 Lexalytics
9.157 Lexmark International
9.158 Lightbend
9.159 Logi Analytics
9.160 Logical Clocks
9.161 Longview Solutions/Tidemark
9.162 Looker Data Sciences
9.163 LucidWorks
9.164 Luminoso Technologies
9.165 Maana
9.166 Manthan Software Services
9.167 MapD Technologies
9.168 MapR Technologies
9.169 MariaDB Corporation
9.170 MarkLogic Corporation
9.171 Mathworks
9.172 Melissa
9.173 MemSQL
9.174 Metric Insights
9.175 Microsoft Corporation
9.176 MicroStrategy
9.177 Minitab
9.178 MongoDB
9.179 Mu Sigma
9.180 NEC Corporation
9.181 Neo4j
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.182 NetApp
9.183 Nimbix
9.184 Nokia
9.185 NTT Data Corporation
9.186 Numerify
9.187 NuoDB
9.188 NVIDIA Corporation
9.189 Objectivity
9.190 Oblong Industries
9.191 OpenText Corporation
9.192 Opera Solutions
9.193 Optimal Plus
9.194 Oracle Corporation
9.195 Palantir Technologies
9.196 Panasonic Corporation/Arimo
9.197 Panorama Software
9.198 Paxata
9.199 Pepperdata
9.200 Phocas Software
9.201 Pivotal Software
9.202 Prognoz
9.203 Progress Software Corporation
9.204 Provalis Research
9.205 Pure Storage
9.206 PwC (PricewaterhouseCoopers International)
9.207 Pyramid Analytics
9.208 Qlik
9.209 Qrama/Tengu
9.210 Quantum Corporation
9.211 Qubole
9.212 Rackspace
9.213 Radius Intelligence
9.214 RapidMiner
9.215 Recorded Future
9.216 Red Hat
9.217 Redis Labs
9.218 RedPoint Global
9.219 Reltio
9.220 RStudio
9.221 Rubrik/Datos IO
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.222 Ryft
9.223 Sailthru
9.224 Salesforce.com
9.225 Salient Management Company
9.226 Samsung Group
9.227 SAP
9.228 SAS Institute
9.229 ScaleOut Software
9.230 Seagate Technology
9.231 Sinequa
9.232 SiSense
9.233 Sizmek
9.234 SnapLogic
9.235 Snowflake Computing
9.236 Software AG
9.237 Splice Machine
9.238 Splunk
9.239 Strategy Companion Corporation
9.240 Stratio
9.241 Streamlio
9.242 StreamSets
9.243 Striim
9.244 Sumo Logic
9.245 Supermicro (Super Micro Computer)
9.246 Syncsort
9.247 SynerScope
9.248 SYNTASA
9.249 Tableau Software
9.250 Talend
9.251 Tamr
9.252 TARGIT
9.253 TCS (Tata Consultancy Services)
9.254 Teradata Corporation
9.255 Thales/Guavus
9.256 ThoughtSpot
9.257 TIBCO Software
9.258 Toshiba Corporation
9.259 Transwarp
9.260 Trifacta
9.261 Unifi Software
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
9.262 Unravel Data
9.263 VANTIQ
9.264 VMware
9.265 VoltDB
9.266 WANdisco
9.267 Waterline Data
9.268 Western Digital Corporation
9.269 WhereScape
9.270 WiPro
9.271 Wolfram Research
9.272 Workday
9.273 Xplenty
9.274 Yellowfin BI
9.275 Yseop
9.276 Zendesk
9.277 Zoomdata
9.278 Zucchetti
10 Chapter 10: Conclusion & Strategic Recommendations
10.1 Why is the Market Poised to Grow?
10.2 Geographic Outlook: Which Countries Offer the Highest Growth Potential?
10.3 Big Data is for Everyone
10.4 Evaluating the Business Value of Big Data for Insurers
10.5 Transforming Risk Management
10.6 Tackling Cyber Crime & Under-Insured Risks
10.7 Accelerating the Transition Towards Usage & Analytics-Based Insurance
10.8 Addressing Customer Expectations with Data-Driven Services
10.9 The Importance of AI (Artificial Intelligence) & Machine Learning
10.10 Impact of Blockchain on Big Data Processing
10.11 Adoption of Cloud Platforms to Address On-Premise System Limitations
10.12 Data Security & Privacy Concerns
10.13 Recommendations
10.13.1 Big Data Hardware, Software & Professional Services Providers
10.13.2 Insurance Industry Stakeholders
List of Figures
Figure 1: Hadoop Architecture
Figure 2: Reactive vs. Proactive Analytics
Figure 3: Distribution of Big Data Investments in the Insurance Industry, by Use Case: 2018 (%)
Figure 4: Aegon's Use of Big Data & Advanced Analytics Across the Insurance Value Chain
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Figure 5: Key Elements of Generali's ASC (Analytics Solutions Center)
Figure 6: Progressive Corporation's Use of Big Data for Auto Insurance
Figure 7: Atidot's Big Data Platform for Life Insurers
Figure 8: Cape Analytics' Property Intelligence Database
Figure 9: Applications of Quest Marine Across the Insurance Value Chain
Figure 10: JMDC's Services for Insurance Companies
Figure 11: Metromile's Pay-Per-Mile Auto Insurance Program
Figure 12: Munich Re's Data Management Infrastructure
Figure 13: Big Data Roadmap in the Insurance Industry: 2018 ? 2030
Figure 14: Big Data Value Chain in the Insurance Industry
Figure 15: Key Aspects of Big Data Standardization
Figure 16: Global Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 17: Global Big Data Revenue in the Insurance Industry, by Hardware, Software &
Professional Services: 2018 ? 2030 ($ Million)
Figure 18: Global Big Data Revenue in the Insurance Industry, by Submarket: 2018 ? 2030
($ Million)
Figure 19: Global Big Data Storage and Compute Infrastructure Submarket Revenue in the
Insurance Industry: 2018 ? 2030 ($ Million)
Figure 20: Global Big Data Networking Infrastructure Submarket Revenue in the Insurance
Industry: 2018 ? 2030 ($ Million)
Figure 21: Global Big Data Hadoop & Infrastructure Software Submarket Revenue in the
Insurance Industry: 2018 ? 2030 ($ Million)
Figure 22: Global Big Data SQL Submarket Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 23: Global Big Data NoSQL Submarket Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 24: Global Big Data Analytic Platforms & Applications Submarket Revenue in the Insurance
Industry: 2018 ? 2030 ($ Million)
Figure 25: Global Big Data Cloud Platforms Submarket Revenue in the Insurance Industry: 2018 ?
2030 ($ Million)
Figure 26: Global Big Data Professional Services Submarket Revenue in the Insurance Industry:
2018 ? 2030 ($ Million)
Figure 27: Global Big Data Revenue in the Insurance Industry, by Application Area: 2018 ? 2030
($ Million)
Figure 28: Global Big Data Revenue in Auto Insurance: 2018 ? 2030 ($ Million)
Figure 29: Global Big Data Revenue in Property & Casualty Insurance: 2018 ? 2030 ($ Million)
Figure 30: Global Big Data Revenue in Life Insurance: 2018 ? 2030 ($ Million)
Figure 31: Global Big Data Revenue in Health Insurance: 2018 ? 2030 ($ Million)
Figure 32: Global Big Data Revenue in Multi-line Insurance: 2018 ? 2030 ($ Million)
Figure 33: Global Big Data Revenue in Other Forms of Insurance: 2018 ? 2030 ($ Million)
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Figure 34: Global Big Data Revenue in Reinsurance: 2018 ? 2030 ($ Million)
Figure 35: Global Big Data Revenue in Insurance Broking: 2018 ? 2030 ($ Million)
Figure 36: Global Big Data Revenue in the Insurance Industry, by Use Case: 2018 ? 2030
($ Million)
Figure 37: Global Big Data Revenue in Personalized & Targeted Marketing for Insurance Services:
2018 ? 2030 ($ Million)
Figure 38: Global Big Data Revenue in Customer Service & Experience for Insurance Services:
2018 ? 2030 ($ Million)
Figure 39: Global Big Data Revenue in Product Innovation & Development for Insurance Services:
2018 ? 2030 ($ Million)
Figure 40: Global Big Data Revenue in Risk Awareness & Control for Insurance Services: 2018 ?
2030 ($ Million)
Figure 41: Global Big Data Revenue in Policy Administration, Pricing & Underwriting: 2018 ? 2030
($ Million)
Figure 42: Global Big Data Revenue in Claims Processing & Management: 2018 ? 2030 ($ Million)
Figure 43: Global Big Data Revenue in Fraud Detection & Prevention for Insurance Services:
2018 ? 2030 ($ Million)
Figure 44: Global Big Data Revenue in Usage & Analytics-Based Insurance: 2018 ? 2030
($ Million)
Figure 45: Global Big Data Revenue in Other Use Cases for Insurance Services: 2018 ? 2030
($ Million)
Figure 46: Big Data Revenue in the Insurance Industry, by Region: 2018 ? 2030 ($ Million)
Figure 47: Asia Pacific Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 48: Asia Pacific Big Data Revenue in the Insurance Industry, by Country: 2018 ? 2030
($ Million)
Figure 49: Australia Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 50: China Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 51: India Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 52: Indonesia Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 53: Japan Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 54: Malaysia Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 55: Pakistan Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 56: Philippines Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 57: Singapore Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 58: South Korea Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 59: Taiwan Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 60: Thailand Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 61: Rest of Asia Pacific Big Data Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 62: Eastern Europe Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Figure 63: Eastern Europe Big Data Revenue in the Insurance Industry, by Country: 2018 ? 2030
($ Million)
Figure 64: Czech Republic Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 65: Poland Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 66: Russia Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 67: Rest of Eastern Europe Big Data Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 68: Latin & Central America Big Data Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 69: Latin & Central America Big Data Revenue in the Insurance Industry, by Country:
2018 ? 2030 ($ Million)
Figure 70: Argentina Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 71: Brazil Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 72: Mexico Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 73: Rest of Latin & Central America Big Data Revenue in the Insurance Industry: 2018 ?
2030 ($ Million)
Figure 74: Middle East & Africa Big Data Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
Figure 75: Middle East & Africa Big Data Revenue in the Insurance Industry, by Country: 2018 ?
2030 ($ Million)
Figure 76: Israel Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 77: Qatar Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 78: Saudi Arabia Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 79: South Africa Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 80: UAE Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 81: Rest of the Middle East & Africa Big Data Revenue in the Insurance Industry: 2018 ?
2030 ($ Million)
Figure 82: North America Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 83: North America Big Data Revenue in the Insurance Industry, by Country: 2018 ? 2030
($ Million)
Figure 84: Canada Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 85: USA Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 86: Western Europe Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 87: Western Europe Big Data Revenue in the Insurance Industry, by Country: 2018 ? 2030
($ Million)
Figure 88: Denmark Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 89: Finland Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 90: France Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 91: Germany Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 92: Italy Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Figure 93: Netherlands Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 94: Norway Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 95: Spain Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 96: Sweden Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 97: UK Big Data Revenue in the Insurance Industry: 2018 ? 2030 ($ Million)
Figure 98: Rest of Western Europe Big Data Revenue in the Insurance Industry: 2018 ? 2030
($ Million)
List of Companies Mentioned
1010data
Absolutdata
Accenture
ACEA (European Automobile Manufacturers’ Association)
Actian Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Allstate Corporation
Alluxio
Alphabet
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
Apixio
Arcadia Data
Arimo
Arity
ARM
ASF (Apache Software Foundation)
AtScale
Attivio
Attunity
Audi
Automated Insights
Automobili Lamborghini
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
automotiveMastermind
AVORA
AWS (Amazon Web Services)
Axiomatics
Ayasdi
BackOffice Associates
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Panda
BigML
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BMW
BOARD International
Booz Allen Hamilton
Bosch
Boxever
CACI International
Cambridge Semantics
Capgemini
Cazena
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Citro?n
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Concurrent Technology
Confluent
Contexti
Continental
Couchbase
Cox Automotive
Cox Enterprises
Crate.io
Cray
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Daimler
Dash Labs
Databricks
Dataiku
Datalytyx
Datameer
DataRobot
DataStax
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Delphi Automotive
Demandbase
Denodo Technologies
Denso Corporation
Dianomic Systems
Digital Reasoning Systems
Dimensional Insight
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dongfeng Motor Corporation
Dremio
DriveScale
Druva
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
DS Automobiles
Ducati
Dundas Data Visualization
DXC Technology
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
Ericsson
Erwin
EV? (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
FCA (Fiat Chrysler Automobiles)
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Ford Motor Company
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Geely (Zhejiang Geely Holding Group)
Glassbeam
GM (General Motors Company)
GoodData Corporation
Grakn Labs
Greenwave Systems
GridGain Systems
Groupe PSA
Groupe Renault
Guavus
H2O.ai
Hanse Orga Group
HarperDB
HCL Technologies
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Hedvig
HERE
Hitachi Vantara
Honda Motor Company
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
HVR
HyperScience
HyTrust
Hyundai Motor Company
IBM Corporation
iDashboards
IDERA
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Ignite Technologies
Imanis Data
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
InfluxData
Infogix
Infor
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunication Union)
Jaguar Land Rover
Jedox
Jethro
Jinfonet Software
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Juniper Networks
KALEAO
KDDI Corporation
Keen IO
Keyrus
Kinetica
KNIME
Kognitio
Kyvos Insights
LeanXcale
Lexalytics
Lexmark International
Lightbend
Linux Foundation
Logi Analytics
Logical Clocks
Longview Solutions
Looker Data Sciences
LucidWorks
Luminoso Technologies
Lytx
Maana
Manthan Software Services
MapD Technologies
MapR Technologies
MariaDB Corporation
MarkLogic Corporation
Mathworks
Mazda Motor Corporation
Melissa
MemSQL
Mercedes-Benz
METI (Ministry of Economy, Trade and Industry, Japan)
Metric Insights
Michelin
Microsoft Corporation
MicroStrategy
Minitab
Mobileye
MongoDB
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Mu Sigma
NEC Corporation
Neo4j
NetApp
Nimbix
Nissan Motor Company
Nokia
NTT Data Corporation
NTT DoCoMo
Numerify
NuoDB
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
Objectivity
Oblong Industries
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
OGC (Open Geospatial Consortium)
OpenText Corporation
Opera Solutions
Optimal Plus
Oracle Corporation
Otonomo
Palantir Technologies
Panasonic Corporation
Panorama Software
Paxata
Pepperdata
Peugeot
Phocas Software
Pivotal Software
Prognoz
Progress Software Corporation
Progressive Corporation
Provalis Research
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
RStudio
Rubrik
Ryft
SAIC Motor Corporation
Sailthru
Salesforce.com
Salient Management Company
Samsung Group
SAP
SAS Institute
ScaleOut Software
Seagate Technology
Sinequa
SiSense
Sizmek
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Subaru
Sumo Logic
Supermicro (Super Micro Computer)
Suzuki Motor Corporation
Syncsort
Copyright ⓒ 2008-2018 SBD Information Co., Ltd. All rights reserved.
SynerScope
SYNTASA
Tableau Software
Talend
Tamr
TARGIT
Tata Motors
TCS (Tata Consultancy Services)
Teradata Corporation
Tesla
Thales
ThoughtSpot
THTA (Tokyo Hire-Taxi Association)
TIBCO Software
Tidemark
TM Forum
Toshiba Corporation
Toyota Motor Corporation
TPC (Transaction Processing Performance Council)
Transwarp
Trifacta
U.S. FTC (Federal Trade Commission)
U.S. NIST (National Institute of Standards and Technology)
U.S. Xpress
Uber Technologies
Unifi Software
Unravel Data
Valens
VANTIQ
Vecima Networks
VMware
Volkswagen Group
VoltDB
Volvo Cars
W3C (World Wide Web Consortium)
WANdisco
Waterline Data
Western Digital Corporation
WhereScape
WiPro