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[ 英語タイトル ] In-Memory Analytics Market by Component (Software, Services), Application (Risk Management & Fraud Detection, Sales & Marketing Optimization, and Financial Management), Deployment, Organization Size, Vertical, Region - Global Forecast to 2022


Product Code : MNMICT00108177
Survey : MarketsandMarkets
Publish On : February, 2021
Category : ICT and Telecom
Study Area : Global
Report format : PDF
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[Report Description]

Need for real-time decision making with faster analytics tools has been driving the market growth
The global in-memory analytics market size is expected to grow from USD 1.26 billion in 2017 to USD 3.85 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 25.1%. The need to induct real-time decision-making in business processes with faster analytics tools has been driving the market growth. Organizations are inclining towards in-memory analytics software that permits to store operational data onto a single database, which can handle all data-to-day transactional data and analytical requests in real-time. The in-memory analytics software with high performance allows users to retrieve better query results and experiments with the data in creating enhanced business models. Falling Random Access Memory (RAM) prices and technological advancements in computing power would drive the market growth. However, lack of awareness across industries regarding benefits of in-memory analytics would restrain the market.
Managed services is expected to grow at the highest CAGR during the forecast period
Among services, the managed service segment is expected to grow at highest CAGR during the forecast period. The demand for consulting services is exhibiting a significant growth, mainly because almost every technological domain requires well-delivered managed services. The vendors offer services that match the client’s requirements. Technical expertise, service consistency, and flexibility must be provided by the vendors, regardless of the location of the client. Managed services are beneficial to customers to sustain their position in the market.
Asia-Pacific (APAC) is estimated to grow at the highest rate during the forecast period
In 2017, North America dominates the market with the highest revenue generation across the world. This trend is expected to continue throughout the forecast period. The in-memory analytics market is exhibiting a strong positive trend in the region, as various industries are adopting the in-memory analytics software and services to build effective business models with real-time decisions & improve the productivity. The APAC region is exhibiting the highest growth rate across the world with growing awareness, massive data surge, and need for real-time analytics.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of profiles of primary participants is given below:
• By Company Type: Tier 1: 22%, Tier 2: 30%, and Tier 3: 48%
• By Designation: C-level: 30%, D-level: 45%, and Others: 25%
• By Region: North America: 48%, Europe: 30%, and APAC: 22%
The various key vendors profiled in the report are as follows:
1. SAP SE (Germany)
2. Oracle Corporation (U.S.)
3. Kognitio (England)
4. MicroStrategy Inc. (U.S.)
5. SAS Institute, Inc. (U.S.)
6. ActiveViam (UK)
7. IBM Corporation (U.S.)
8. Information Builders, Inc. (U.S.)
9. Hitachi Group Company (Japan)
10. Software AG (Germany)
11. Amazon Web Services (U.S.)
12. Qlik Technologies Inc. (U.S.)
13. ADVIZOR Solutions, Inc. (U.S.)
14. Exasol (Germany)

Research Coverage
The report segments the in-memory analytics market based on components, which include software and services; the services segment is further segmented into managed services and professional services. Under professional services, the report is further segmented into support & maintenance and consulting services. Based on the deployment model, the market is segmented into on-premises and cloud. Under organization size, it is segmented into Small and Medium-Sized Businesses (SMBs) and large enterprises, whereas under applications segment, the market is segmented into risk management and fraud detection, sales & marketing optimization, financial management, supply chain optimization, predictive asset management, product & process management, and others. Under verticals, the market includes Banking, Financial Services, & Insurance (BFSI), telecommunications & Information Technology (IT), retail & eCommerce, healthcare & life sciences, manufacturing, government & defense, energy & utilities, media & entertainment, transportation & logistics, and others (research, education, travel & hospitality, and outsourcing), whereas in regions, it is segmented into North America, Europe, APAC, Middle East & Africa (MEA), and Latin America.
Reasons to Buy the Report
The report will help the market leaders/new entrants in this market in the following ways:
1. This report segments the in-memory analytics market comprehensively and provides the closest approximations of the revenue numbers for the overall market & subsegments across different verticals and regions.
2. The report helps stakeholders to understand the pulse of the market and provides them information on key market drivers, restraints, challenges, & opportunities.
3. This report will help stakeholders to better understand the competitors and gain more insights to enhance their position in the business. The competitive landscape section includes new product launches, partnerships, agreements & collaborations, mergers & acquisitions, and expansions.

TABLE OF CONTENTS

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 16
1.4 YEARS CONSIDERED FOR THE STUDY 17
1.5 CURRENCY 17
1.6 STAKEHOLDERS 18
2 RESEARCH METHODOLOGY 19
2.1 RESEARCH DATA 19
2.1.1 SECONDARY DATA 20
2.1.2 PRIMARY DATA 20
2.1.2.1.1 Breakdown of primaries 21
2.1.2.1.2 Key industry insights 22
2.2 MARKET SIZE ESTIMATION 24
2.3 RESEARCH ASSUMPTIONS AND LIMITATIONS 25
2.3.1 ASSUMPTIONS 25
2.3.2 LIMITATIONS 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 32
4.1 ATTRACTIVE OPPORTUNITIES IN THE IN-MEMORY ANALYTICS MARKET 32
4.2 IN-MEMORY ANALYTICS MARKET: MARKET SHARE, BY REGIONS 33
4.3 IN-MEMORY ANALYTICS MARKET: BY VERTICAL AND REGION 34
4.4 LIFE CYCLE ANALYSIS, BY REGION, 2017 35
5 MARKET OVERVIEW 36
5.1 MARKET OVERVIEW 36
5.1.1 INTRODUCTION 36
5.1.2 MARKET DYNAMICS 36
5.1.2.1 Drivers 37
5.1.2.1.1 Digital transformation using real-time data analytics 37
5.1.2.1.2 Technological advancements in computing power 37
5.1.2.1.3 Growing volume of data 38
5.1.2.1.4 Growing trend for self-service BI tools 38
5.1.2.2 Restraints 38
5.1.2.2.1 Lack of awareness across industries 38

5.1.2.3 Opportunities 39
5.1.2.3.1 Reduction of main memory hardware costs 39
5.1.2.3.2 Improved scalability and security with cloud-based in-memory analytics 39
5.1.2.3.3 Higher adoption by SMBs 39
5.1.2.4 Challenges 40
5.1.2.4.1 Management and maintenance of data quality 40
5.1.2.4.2 Lack of end user and developer skills to deploy BI applications 40
5.2 INDUSTRY TRENDS 40
5.2.1 INTRODUCTION 40
5.2.2 IN-MEMORY ANALYTICS USE CASES 41
5.2.2.1 Introduction 41
5.2.2.2 Use Case 1: Kognitio (Telecommunications Sector) 41
5.2.2.3 Use Case 2: ActiveViam (Financial Services—Risk Management) 41
5.2.2.4 Use Case 3: ADVIZOR Solutions Inc. (Healthcare Sector— Sudbury Regional Hospital) 42
5.2.3 IN-MEMORY ANALYTICS ARCHITECTURE 42
5.2.3.1 In-memory architecture 43
6 IN-MEMORY ANALYTICS MARKET ANALYSIS, BY COMPONENT 45
6.1 INTRODUCTION 46
6.2 SOFTWARE 47
6.3 SERVICES 48
6.3.1 MANAGED SERVICES 49
6.3.2 PROFESSIONAL SERVICES 50
6.3.2.1 Support and Maintenance 52
6.3.2.2 Consulting 52
7 IN-MEMORY ANALYTICS MARKET ANALYSIS, BY APPLICATION 54
7.1 INTRODUCTION 55
7.2 RISK MANAGEMENT AND FRAUD DETECTION 56
7.3 SALES AND MARKETING OPTIMIZATION 57
7.4 FINANCIAL MANAGEMENT 58
7.5 SUPPLY CHAIN OPTIMIZATION 59
7.6 PREDICTIVE ASSET MANAGEMENT 60
7.7 PRODUCT AND PROCESS MANAGEMENT 61
7.8 OTHER APPLICATIONS 62
8 IN-MEMORY ANALYTICS MARKET ANALYSIS, BY DEPLOYMENT MODEL 63
8.1 INTRODUCTION 64
8.2 ON-PREMISES 65
8.3 CLOUD 65
9 IN-MEMORY ANALYTICS MARKET ANALYSIS, BY ORGANIZATION SIZE 67
9.1 INTRODUCTION 68
9.2 SMALL AND MEDIUM BUSINESSES 69
9.3 LARGE ENTERPRISES 69
10 IN-MEMORY ANALYTICS MARKET ANALYSIS, BY VERTICAL 71
10.1 INTRODUCTION 72
10.2 BFSI 73
10.3 RETAIL & E-COMMERCE 74
10.4 GOVERNMENT & DEFENSE 75
10.5 HEALTHCARE & LIFE SCIENCES 75
10.6 MANUFACTURING 76
10.7 TELECOMMUNICATIONS & IT 77
10.8 ENERGY & UTILITIES 78
10.9 MEDIA & ENTERTAINMENT 79
10.10 TRANSPORTATION & LOGISTICS 80
10.11 OTHERS 81
11 GEOGRAPHIC ANALYSIS 82
11.1 INTRODUCTION 83
11.2 NORTH AMERICA 84
11.3 EUROPE 88
11.4 ASIA-PACIFIC 91
11.5 MIDDLE EAST & AFRICA 95
11.6 LATIN AMERICA 97
12 COMPETITIVE LANDSCAPE 101
12.1 INTRODUCTION 101
12.1.1 VANGUARDS 101
12.1.2 INNOVATORS 101
12.1.3 DYNAMIC 101
12.1.4 EMERGING 101
12.2 MICROQUADRANT 102
12.3 IN-MEMORY ANALYTICS MARKET: PRODUCT OFFERING 103
12.4 IN-MEMORY ANALYTICS MARKET: BUSINESS STRATEGY 104

13 COMPANY PROFILES 105
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 SAP SE 105
13.2 MICROSTRATEGY INCORPORATED 109
13.3 KOGNITIO LTD 112
13.4 SAS INSTITUTE, INC. 114
13.5 HITACHI GROUP COMPANY 117
13.6 ACTIVEVIAM 120
13.7 ORACLE CORPORATION 123
13.8 IBM CORPORATION 127
13.9 INFORMATION BUILDERS, INC. 130
13.10 SOFTWARE AG 133
13.11 AMAZON WEB SERVICES 136
13.12 QLIK TECHNOLOGIES, INC. 138
13.13 ADVIZOR SOLUTIONS, INC. 141
13.14 EXASOL 143
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 APPENDIX 145
14.1 KEY INSIGHTS OF INDUSTRY EXPERTS 145
14.2 DISCUSSION GUIDE 146
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 150
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 152
14.5 AVAILABLE CUSTOMIZATION 153
14.6 RELATED REPORTS 153
14.7 AUTHOR DETAILS 154

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