インメモリーデータグリッドの世界市場予測(~2023年)

調査会社MarketsandMarkets社が発行したリサーチレポート(データ管理コード:TC-6794)
◆英語タイトル:In-Memory Data Grid Market by Component, Business Application (Transaction Processing, Fraud and Risk Management, Supply Chain Optimization), Industry Vertical, Organization Size, Deployment Type, and Region - Global Forecast to 2023
◆発行会社/調査会社:MarketsandMarkets
◆商品コード:TC-6794
◆発行日:2018年12月11日
◆調査対象地域:グローバル
◆産業分野:IT・通信
◆ページ数:133
◆レポート言語:英語
◆レポート形式:PDF
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当調査レポートでは、インメモリーデータグリッドの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、構成要素別分析、用途別分析、企業規模別分析、地域別分析、インメモリーデータグリッドの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。
*** レポート概要(サマリー)***

Increasing use of distributed architecture to enhance limited storage capacity of main memory to drive the in-memory data grid marketThe global in-memory data grid market size is expected to grow from USD 1.4 billion in 2018 to USD 2.3 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.8% during the forecast period. The in-memory data grid market is driven by various factors, such as the use of distributed architecture to enhance limited storage capacity of main memory, and focus on eliminating the need for relational data model and database. However, system or components failure which may result in loss of data, can hinder the growth of the market.
The fraud and risk management segment to grow at the highest CAGR during the forecast period
Organizations use fraud and risk management applications to enhance their risk intelligence capabilities to overcome risk exposures. Risk management has become a top focus for regulatory bodies around the world. It has increasingly become important for several businesses to provide accurate and timely risk reporting to regulatory agencies. Using in-memory data grid helps unify corporate risk data, perform the required analytics, and report relatively easy as compared to traditional methods of data management.
The BFSI vertical to hold the largest market size during the forecast period
Financial organizations across the globe are looking for in-memory data grid solutions which can process data in real time and improve the performance of their business-critical applications. Trading systems with high transaction rates are examples of environments best-suited for the in-memory data grid. It enables financial applications with real-time analytics due to faster data access and high throughput in use cases, such as trading, fraud detection, risk management, and portfolio management. Using in-memory data grid solution would enable financial organizations to improve their marketing strategies and customer retention policies, develop new investment strategies, and mitigate risks.
Asia Pacific (APAC) to record the highest growth rate during the forecast period
APAC is expected to grow at the highest CAGR during the forecast period, due to an increasing demand for in-memory data grid. Major APAC countries, such as China, Australia and New Zealand, India, and Singapore, provide significant opportunities for the adoption of the in-memory data grid solutions across industry verticals. Meanwhile, North America is projected to hold the largest market size during the forecast period.
In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the in-memory data grid marketplace.
The following list provides the breakup of primary respondents’ profiles:
• By company type: Tier 1 – 35%, Tier 2 – 45%, and Tier 3 – 20%
• By designation: C-level – 35%, D-level – 25%, and Others – 40%
• By region: North America – 40%, Europe – 30%, APAC – 20%, MEA – 5%, and Latin America – 5%
Major vendors offering in-memory data grid solutions across the globe include IBM (US), Oracle (US), Red Hat (US), Software AG (Germany), Pivotal (US), Hitachi (Japan), Hazelcast (US), TIBCO (US), GridGain (US), ScaleOut Software (US), GigaSpaces (US), Alachisoft (US), and TmaxSoft (US). The study includes an in-depth competitive analysis of these key players in the in-memory data grid market, with their company profiles, recent developments, and key market strategies.

Research coverage
This research study covers the segmentation of the in-memory data grid market by component, business application, deployment type, organization size, industry vertical, and region. These segments are mapped across 5 major regions: North America, Europe, Asia Pacific, the Middle East and Africa and Latin America. The report provides in-depth market intelligence regarding key factors, such as drivers, opportunities, and challenges, influencing the growth of the in-memory data grid market across the globe. It also offers an analysis of micromarkets with respect to individual growth trends, prospects, and their contribution to the overall in-memory data grid market.

Key benefits of buying the report
The report will help the market leaders/new entrants in the market with information on the closest approximations of the revenue numbers for the overall in-memory data grid market and the subsegments. The report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

*** レポート目次(コンテンツ)***

TABLE OF CONTENTS

1 INTRODUCTION 16
1.1 OBJECTIVES OF THE STUDY 16
1.2 MARKET DEFINITION 16
1.3 MARKET SCOPE 17
1.4 YEARS CONSIDERED FOR THE STUDY 18
1.5 CURRENCY CONSIDERED 18
1.6 STAKEHOLDERS 19
2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Breakup of primary profiles 22
2.1.2.2 Key industry insights 22
2.2 MARKET BREAKUP AND DATA TRIANGULATION 23
2.3 MARKET SIZE ESTIMATION 23
2.3.1 BOTTOM-UP APPROACH 24
2.3.2 TOP-DOWN APPROACH 24
2.4 ASSUMPTIONS FOR THE STUDY 25
2.5 LIMITATIONS OF THE STUDY 26
3 EXECUTIVE SUMMARY 27
4 PREMIUM INSIGHTS 30
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE IN-MEMORY DATA GRID MARKET 30
4.2 IN-MEMORY DATA GRID MARKET, BY BUSINESS APPLICATION AND COUNTRY (2018) 31
4.3 IN-MEMORY DATA GRID MARKET: MAJOR COUNTRIES 32
5 MARKET OVERVIEW AND INDUSTRY TRENDS 33
5.1 INTRODUCTION 33
5.2 MARKET DYNAMICS 33
5.2.1 DRIVERS 34
5.2.1.1 Using distributed architecture to enhance limited storage capacity of the main memory 34
5.2.1.2 Eliminating the need for relational data model and database 35
5.2.2 RESTRAINTS 35
5.2.2.1 System/component failure may result in the loss of data 35

5.2.3 OPPORTUNITIES 35
5.2.3.1 Attaining high throughput with real-time processing 35
5.2.3.2 Improving the performance of analytical applications 36
5.2.4 CHALLENGES 36
5.2.4.1 Maintaining data security 36
5.3 INDUSTRY TRENDS 36
5.3.1 USE CASE 1: PIVOTAL SOFTWARE 36
5.3.2 USE CASE 2: HAZELCAST 37
5.3.2.1 Use case 3: TIBCO Software 37
6 IN-MEMORY DATA GRID MARKET, BY COMPONENT 39
6.1 INTRODUCTION 40
6.2 SOLUTION 41
6.2.1 GROWING NEED TO HAVE STREAMLINED AND HIGH-PERFORMING APPLICATIONS TO DRIVE THE ADOPTION OF THE IN-MEMORY DATA GRID SOLUTION AMONG ENTERPRISES 41
6.3 PROFESSIONAL SERVICES 42
6.3.1 CONSULTING 43
6.3.1.1 Growing need among organizations to be technically well versed to drive the growth of in-memory data grid consulting services 43
6.3.2 SUPPORT AND MAINTENANCE 44
6.3.2.1 Focus on improving the performance of applications to drive the growth of in-memory data grid support and maintenance services 44
6.3.3 EDUCATION 44
6.3.3.1 Need to educate employees on how to use in-memory data grid solutions to drive the adoption of in-memory data grid educational services 44
7 IN-MEMORY DATA GRID MARKET, BY BUSINESS APPLICATION 46
7.1 INTRODUCTION 47
7.2 TRANSACTION PROCESSING 48
7.2.1 GROWING NEED FOR FASTER AND SMOOTHER TRANSACTIONS TO DRIVE THE ADOPTION OF IN-MEMORY DATA GRID IN THE TRANSACTION PROCESSING BUSINESS APPLICATION 48
7.3 FRAUD AND RISK MANAGEMENT 48
7.3.1 REGULATORY COMPLIANCES AMONG ORGANIZATIONS TO BOOST THE ADOPTION OF IN-MEMORY DATA GRID IN THE FRAUD AND RISK MANAGEMENT BUSINESS APPLICATION 48
7.4 SUPPLY CHAIN OPTIMIZATION 49
7.4.1 GROWING NEED FOR HANDLING LARGE DATASETS TO DRIVE THE ADOPTION OF IN-MEMORY DATA GRID IN THE SUPPLY CHAIN OPTIMIZATION BUSINESS APPLICATION 49
7.5 SALES AND MARKETING OPTIMIZATION 50
7.5.1 ADOPTING IN-MEMORY DATA GRID FOR ANALYZING CUSTOMER DATA TO IMPROVE SALES AND MARKETING OPERATIONS 50
8 IN-MEMORY DATA GRID MARKET, BY INDUSTRY VERTICAL 51
8.1 INTRODUCTION 52
8.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 53
8.2.1 DEMAND FOR REAL-TIME ANALYSIS OF DATA GENERATED FROM FINANCIAL APPLICATIONS TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 53
8.3 MEDIA AND ENTERTAINMENT 54
8.3.1 GROWING FOCUS OF ORGANIZATIONS TO DELIVER QUALITY CONTENT AT FAST PACE TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 54
8.4 CONSUMER GOODS AND RETAIL 55
8.4.1 DRIVING SALES BY IMPROVING OPERATIONAL EFFICIENCIES TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 55
8.5 HEALTHCARE AND LIFE SCIENCES 56
8.5.1 DEMAND FOR PROACTIVE DIAGNOSTIC SERVICES TO ENHANCE PATIENT EXPERIENCE TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 56
8.6 MANUFACTURING 57
8.6.1 INCREASING NEED FOR REAL-TIME PRODUCTION PLANNING AND DEMAND FORECASTING TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 57
8.7 TELECOM AND IT 58
8.7.1 GROWING NEED FOR ORGANIZATIONS TO CATER DYNAMIC CUSTOMER PREFERENCES TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 58
8.8 TRANSPORTATION AND LOGISTICS 59
8.8.1 DEMAND FROM ORGANIZATIONS FOR ACCURATE INFORMATION TO MAKE BETTER BUSINESS DECISIONS TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 59
8.9 OTHERS 60
9 IN-MEMORY DATA GRID MARKET, BY ORGANIZATION SIZE 61
9.1 INTRODUCTION 62
9.2 LARGE ENTERPRISES 63
9.2.1 DEMAND FOR HIGH-PERFORMANCE COMPUTING TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 63
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES 64
9.3.1 NEED FOR COST-EFFECTIVE SOLUTIONS OFFERING HIGH SCALABILITY AND ENHANCED SYSTEM PERFORMANCE TO DRIVE THE GROWTH OF IN-MEMORY DATA GRID MARKET 64
10 IN-MEMORY DATA GRID MARKET, BY DEPLOYMENT TYPE 65
10.1 INTRODUCTION 66
10.2 ON-PREMISES 67
10.2.1 SECURITY CONCERNS AMONG ENTERPRISES TO DRIVE THE ADOPTION OF THE ON-PREMISES IN-MEMORY DATA GRID SOLUTION 67

10.3 CLOUD 68
10.3.1 SCALABILITY AND COST-EFFECTIVENESS ARE THE MAJOR ADVANTAGES TO ADOPT A CLOUD-BASED IN-MEMORY DATA GRID SOLUTION 68
11 IN-MEMORY DATA GRID MARKET, BY REGION 69
11.1 INTRODUCTION 70
11.2 NORTH AMERICA 72
11.2.1 UNITED STATES 75
11.2.1.1 Early adoption of technology and strong R&D investments to boost the growth of the US in-memory data grid industry 75
11.2.2 CANADA 76
11.2.2.1 Growing demand for the analytical-based solutions to drive the growth of the in-memory data grid market in Canada 76
11.3 EUROPE 76
11.3.1 UNITED KINGDOM 79
11.3.1.1 Increasing focus of organizations to effectively handle large data volumes leads to the growth of the UK in-memory data grid industry 79
11.3.2 GERMANY 80
11.3.2.1 Demand for high technological solutions to drive the growth of Germany in-memory data grid industry 80
11.3.3 FRANCE 80
11.3.3.1 Increasing investments of organizations in real-time analytics solutions leads to the growth of the in-memory data grid market in France 80
11.3.4 REST OF EUROPE 80
11.4 ASIA PACIFIC 81
11.4.1 CHINA 84
11.4.1.1 Increasing data volumes across industry verticals to contribute to the growth of the in-memory data grid market in China 84
11.4.2 JAPAN 85
11.4.2.1 Rise in the adoption of connected devices to contribute to the growth of the in-memory data grid market in Japan 85
11.4.3 AUSTRALIA AND NEW ZEALAND 85
11.4.3.1 Growing need to offer personalized products and services leads to the growth of the in-memory data grid market in Australia and New Zealand 85
11.4.4 REST OF ASIA PACIFIC 85
11.5 MIDDLE EAST AND AFRICA 85
11.5.1 KINGDOM OF SAUDI ARABIA 88
11.5.1.1 Increasing adoption of advanced IT infrastructure in the energy and utilities industry vertical to contribute to the growth of the in-memory data grid market in KSA 88
11.5.2 UNITED ARAB EMIRATES 89
11.5.2.1 State-of-the-art infrastructure and the implementation of the cutting-edge technology lead to the growth of the in-memory data grid market in the UAE 89

11.5.3 SOUTH AFRICA 89
11.5.3.1 Increasing adoption of in-memory computing technologies to spur the demand for the in-memory data grid market in South Africa 89
11.5.4 REST OF MIDDLE EAST AND AFRICA 89
11.6 LATIN AMERICA 89
11.6.1 BRAZIL 92
11.6.1.1 Increasing proliferation of consumer data and rising demand for data-driven enterprises for quick and real-time access to this data to boost the demand for the in-memory data grid market in Brazil 92
11.6.2 MEXICO 93
11.6.2.1 Government initiatives in the in-memory data grid market lead to increasing infrastructural investments from several global investors to drive the growth of the overall market in Mexico 93
11.6.3 REST OF LATIN AMERICA 93
12 COMPETITIVE LANDSCAPE 94
12.1 OVERVIEW 94
12.2 COMPETITIVE SCENARIO 95
12.2.1 PRODUCT/SERVICE/SOLUTION LAUNCHES AND ENHANCEMENTS 95
12.2.2 BUSINESS EXPANSIONS 97
12.2.3 ACQUISITIONS 98
12.2.4 PARTNERSHIPS 98
13 COMPANY PROFILES 100
13.1 INTRODUCTION 100
(Business Overview, Products & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 ORACLE 101
13.3 IBM 103
13.4 HAZELCAST 105
13.5 SCALE OUT SOFTWARE 107
13.6 TIBCO SOFTWARE 108
13.7 RED HAT 110
13.8 SOFTWARE AG 113
13.9 GIGASPACES 115
13.10 GRIDGAIN SYSTEMS 117
13.11 ALACHISOFT 119
13.12 PIVOTAL 120
13.13 TMAXSOFT 122
13.14 HITACHI 123
*Details on Business Overview, Products & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

14 APPENDIX 125
14.1 DISCUSSION GUIDE 125
14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 129
14.3 AVAILABLE CUSTOMIZATIONS 131
14.4 RELATED REPORTS 131
14.5 AUTHOR DETAILS 132

LIST OF TABLES

TABLE 1 IN-MEMORY DATA GRID MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 40
TABLE 2 SOLUTION: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 41
TABLE 3 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 42
TABLE 4 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 43
TABLE 5 CONSULTING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 43
TABLE 6 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 44
TABLE 7 EDUCATION MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 45
TABLE 8 BUSINESS APPLICATION MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION) 47
TABLE 9 TRANSACTION PROCESSING: IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 48
TABLE 10 FRAUD AND RISK MANAGEMENT: IN-MEMORY DATA GRID MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 49
TABLE 11 SUPPLY CHAIN OPTIMIZATION: IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 49
TABLE 12 SALES AND MARKETING OPTIMIZATION: IN-MEMORY DATA GRID MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 50
TABLE 13 IN-MEMORY DATA GRID MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 53
TABLE 14 BANKING, FINANCIAL SERVICES, AND INSURANCE: IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 54
TABLE 15 MEDIA AND ENTERTAINMENT: IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 55
TABLE 16 CONSUMER GOODS AND RETAIL: IN-MEMORY DATA GRID MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 56
TABLE 17 HEALTHCARE AND LIFE SCIENCES: IN-MEMORY DATA GRID MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 57
TABLE 18 MANUFACTURING: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 57
TABLE 19 TELECOM AND IT: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 58
TABLE 20 TRANSPORTATION AND LOGISTICS: IN-MEMORY DATA GRID MARKET SIZE,
BY REGION, 2016–2023 (USD MILLION) 59
TABLE 21 OTHERS: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 60
TABLE 22 IN-MEMORY DATA GRID MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 62
TABLE 23 LARGE ENTERPRISES: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 63
TABLE 24 SMALL AND MEDIUM-SIZED ENTERPRISES: IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 64
TABLE 25 IN-MEMORY DATA GRID MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 66
TABLE 26 ON-PREMISES: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 67
TABLE 27 CLOUD: IN-MEMORY DATA GRID MARKET SIZE, BY REGION,
2016–2023 (USD MILLION) 68
TABLE 28 IN-MEMORY DATA GRID MARKET SIZE, BY REGION, 2016–2023 (USD MILLION) 71
TABLE 29 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 73
TABLE 30 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 73
TABLE 31 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY BUSINESS APPLICATION, 2016–2023 (USD MILLION) 73
TABLE 32 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 74
TABLE 33 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 74
TABLE 34 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 75
TABLE 35 NORTH AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 75
TABLE 36 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 76
TABLE 37 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 77
TABLE 38 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY BUSINESS APPLICATION, 2016–2023 (USD MILLION) 77
TABLE 39 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY INDUSTRY VERTICAL,
2016–2023 (USD MILLION) 78
TABLE 40 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY ORGANIZATION SIZE,
2016–2023 (USD MILLION) 78
TABLE 41 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY DEPLOYMENT TYPE,
2016–2023 (USD MILLION) 79
TABLE 42 EUROPE: IN-MEMORY DATA GRID MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 79
TABLE 43 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 82
TABLE 44 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 82
TABLE 45 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY BUSINESS APPLICATION, 2016–2023 (USD MILLION) 82
TABLE 46 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 83
TABLE 47 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 83
TABLE 48 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 84
TABLE 49 ASIA PACIFIC: IN-MEMORY DATA GRID MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 84
TABLE 50 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY COMPONENT, 2016–2023 (USD MILLION) 85
TABLE 51 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 86
TABLE 52 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY BUSINESS APPLICATION, 2016–2023 (USD MILLION) 86
TABLE 53 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 87
TABLE 54 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 87
TABLE 55 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE,
BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 88
TABLE 56 MIDDLE EAST AND AFRICA: IN-MEMORY DATA GRID MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION) 88
TABLE 57 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY COMPONENT,
2016–2023 (USD MILLION) 90
TABLE 58 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION) 90
TABLE 59 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY BUSINESS APPLICATION, 2016–2023 (USD MILLION) 90
TABLE 60 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION) 91
TABLE 61 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION) 91
TABLE 62 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY DEPLOYMENT TYPE, 2016–2023 (USD MILLION) 92
TABLE 63 LATIN AMERICA: IN-MEMORY DATA GRID MARKET SIZE, BY COUNTRY,
2016–2023 (USD MILLION) 92
TABLE 64 PRODUCT/SERVICE/SOLUTION LAUNCHES AND ENHANCEMENTS, 2015–2018 95
TABLE 65 BUSINESS EXPANSIONS, 2016–2018 97
TABLE 66 ACQUISITIONS, 2015–2018 98
TABLE 67 PARTNERSHIPS, 2014–2018 98




LIST OF FIGURES

FIGURE 1 MARKET SEGMENTATION 17
FIGURE 2 IN-MEMORY DATA GRID MARKET: RESEARCH DESIGN 20
FIGURE 3 IN-MEMORY DATA GRID MARKET: BOTTOM-UP APPROACH 24
FIGURE 4 IN-MEMORY DATA GRID MARKET: TOP-DOWN APPROACH 24
FIGURE 5 LARGE ENTERPRISES SEGMENT HOLDS THE HIGHEST MARKET SHARE IN THE IN-MEMORY DATA GRID MARKET IN 2018 28
FIGURE 6 TRANSACTION PROCESSING SEGMENT ACCOUNTS FOR THE LARGEST MARKET SIZE IN 2018 28
FIGURE 7 NORTH AMERICA ACCOUNTS FOR THE HIGHEST SHARE OF THE IN-MEMORY DATA GRID MARKET IN 2018 29
FIGURE 8 NEED FOR DISTRIBUTED DATA STORAGE ARCHITECTURE FOR FASTER DATA PROCESSING TO DRIVE THE GROWTH OF THE IN-MEMORY DATA GRID MARKET 30
FIGURE 9 TRANSACTION PROCESSING SEGMENT AND THE US ACCOUNT FOR THE HIGHEST SHARES IN THE NORTH AMERICA IN-MEMORY DATA GRID MARKET IN 2018 31
FIGURE 10 AUSTRALIA AND NEW ZEALAND TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD 32
FIGURE 11 IN-MEMORY DATA GRID MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 34
FIGURE 12 PROFESSIONAL SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 40
FIGURE 13 EDUCATION SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 42
FIGURE 14 FRAUD AND RISK MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 47
FIGURE 15 CONSUMER GOODS AND RETAIL INDUSTRY VERTICAL TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 52
FIGURE 16 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 62
FIGURE 17 CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 66
FIGURE 18 NORTH AMERICA TO HOLD THE HIGHEST MARKET SHARE IN 2018 70
FIGURE 19 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 71
FIGURE 20 NORTH AMERICA: MARKET SNAPSHOT 72
FIGURE 21 ASIA PACIFIC: MARKET SNAPSHOT 81
FIGURE 22 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE IN-MEMORY DATA GRID MARKET, 2014–2018 94
FIGURE 23 GEOGRAPHIC REVENUE MIX OF THE TOP MARKET PLAYERS 100
FIGURE 24 ORACLE: COMPANY SNAPSHOT 101
FIGURE 25 IBM: COMPANY SNAPSHOT 103
FIGURE 26 RED HAT: COMPANY SNAPSHOT 110
FIGURE 27 SOFTWARE AG: COMPANY SNAPSHOT 113
FIGURE 28 PIVOTAL: COMPANY SNAPSHOT 120
FIGURE 29 HITACHI: COMPANY SNAPSHOT 123


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