BDaaS（Big Data as a Service）の世界市場予測...市場調査レポートについてご紹介

TABLE OF CONTENTS

1 INTRODUCTION 14
1.1 OBJECTIVES OF THE STUDY 14
1.2 MARKET DEFINITION 14
1.3 MARKET SCOPE 14
1.3.1 MARKETS COVERED 15
1.3.2 YEARS CONSIDERED FOR THE STUDY 15
1.3.3 CURRENCY 16
1.4 STAKEHOLDERS 16
2 RESEARCH METHODOLOGY 17
2.1 RESEARCH DATA 17
2.1.1 SECONDARY DATA 18
2.1.1.1 Key data from secondary sources 18
2.1.2 PRIMARY DATA 19
2.1.2.1 Key data from primary sources 19
2.1.2.2 Key industry insights 20
2.1.2.3 Breakdown of primaries 21
2.2 MARKET SIZE ESTIMATION 22
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 24
2.4 ASSUMPTIONS 25
3 EXECUTIVE SUMMARY 26
4 PREMIUM INSIGHTS 30
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN BIG DATA-AS-A-SERVICE MARKET 30
4.2 BIG DATA-AS-A-SERVICE MARKET: SOLUTION VS. VERTICAL, 2015 30
4.3 LIFE CYCLE ANALYSIS, BY REGION 31
4.4 MARKET INVESTMENT SCENARIO 32
5 MARKET OVERVIEW 33
5.1 INTRODUCTION 34
5.2 MARKET SEGMENTATION 34
5.3 MARKET DYNAMICS 35
5.3.1 DRIVERS 36
5.3.1.1 Rise in big data across the globe 36
5.3.1.2 Rapidly changing enterprise requirements 36
5.3.1.3 Rise in demand of real-time data analytics 36
5.3.1.4 Heterogeneity of data 36
5.3.2 RESTRAINTS 37
5.3.2.1 Complexity of the projects 37
5.3.2.2 Lack of big data IT skills 37
5.3.3 OPPORTUNITIES 37
5.3.3.1 Increase in demand for the advanced analytics and data warehousing solutions 37
5.3.3.2 Huge investment in IT sectors by the businesses 37
5.3.4 CHALLENGES 37
5.3.4.1 Data consolidation 37
5.3.4.2 Security and privacy threats 38
6 INDUSTRY TRENDS 39
6.1 VALUE CHAIN ANALYSIS 39
6.2 PORTER’S FIVE FORCES ANALYSIS 40
6.2.1 THREAT OF NEW ENTRANTS 40
6.2.2 THREAT OF SUBSTITUTES 40
6.2.3 BARGAINING POWER OF SUPPLIERS 41
6.2.4 BARGAINING POWER OF BUYERS 41
6.2.5 INTENSITY OF RIVALRY 41
6.3 STRATEGIC BENCHMARKING 42
7 BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY TYPE OF SOLUTIONS 43
7.1 INTRODUCTION 44
7.2 HADOOP-AS-A-SERVICE (HDAAS) 45
7.3 DATA-AS-A-SERVICE 47
7.4 DATA ANALYTICS-AS-A-SERVICE 48
8 BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY DEPLOYMENT MODEL 51
8.1 INTRODUCTION 52
8.2 PUBLIC CLOUD 53
8.3 PRIVATE CLOUD 54
8.4 HYBRID CLOUD 55
9 BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY ORGANIZATION SIZE 57
9.1 INTRODUCTION 58
9.2 SMALL AND MEDIUM-SIZED BUSINESSES 59
9.3 LARGE ENTERPRISE 59
10 BIG DATA-AS-A-SERVICE MARKET ANALYSIS, BY VERTICAL 61
10.1 INTRODUCTION 62
10.2 BANKING, FINANCIAL SERVICES AND INSURANCE (BFSI) 63
10.3 HEALTHCARE AND LIFE SCIENCES 64
10.4 RETAIL AND CONSUMER GOODS 65
10.5 MANUFACTURING 67
10.6 TRAVEL AND HOSPITALITY 68
10.7 IT AND TELECOMMUNICATION 69
10.8 MEDIA AND ENTERTAINMENT 71
10.9 GOVERNMENT 72
10.10 OTHERS 73
11 GEOGRAPHIC ANALYSIS 75
11.1 INTRODUCTION 76
11.2 NORTH AMERICA (NA) 77
11.3 EUROPE 78
11.4 ASIA-PACIFIC 79
11.5 MIDDLE EAST AND AFRICA 80
11.6 LATIN AMERICA 81
12 COMPETITIVE LANDSCAPE 83
12.1 OVERVIEW 83
12.2 COMPETITIVE SITUATION AND TRENDS 84
12.2.1 PARNERSHIPS, COLLABORATIONS, AND AGREEMENTS 85
12.2.2 NEW PRODUCT LAUNCHES 87
12.2.3 VENTURE FUNDING 88
12.2.4 ACQUISITIONS 89
13 COMPANY PROFILES 90
13.1 INTRODUCTION 90
13.2 AMAZON WEB SERVICES, INC. (AWS) 91
13.3 GOOGLE INCORPORATION (GOOGLE) 93
13.4 HEWLETT-PACKARD (HP) 96
13.5 IBM CORPORATION 99
13.6 TERADATA CORPORATION (TERADATA) 102
13.7 MICROSOFT CORPORATION 105
13.8 ORACLE CORPORATION 107
13.9 SAP SE 109
13.10 SAS INSTITUTE INC. 111
13.11 EMC CORPORATION 113
14 APPENDIX 115
14.1 KEY INSIGHTS 115
14.2 DISCUSSION GUIDE 116
14.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 119
14.4 AVAILABLE CUSTOMIZATIONS 121