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$2.3 Bn In-Memory Data Grid Market - Global Forecast to 2023DUBLIN, Dec 17, 2018 /PRNewswire/ -- The "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" report has been added to ResearchAndMarkets.com's offering.  The 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. Organizations across industry verticals are undergoing a high level of business transformation to attain operational excellence and improve their business performance. New and disruptive technologies are forcing organizations to redefine their business strategies by analyzing data. Regardless of their size, organizations are turning to in-memory data grid vendors for better and faster decision-making using analytics. Furthermore, the explosion of big data has prompted vendors to develop systems to support ultra-low latency service and real-time data analytics. Rapid increase in the size of enterprise data and the difficulty in managing and analyzing this data demanded new technologies because traditional disk-based systems were not fast enough to provide realtime insights. Moreover, traditional disk-based systems do not offer timely response, due to the high access latency of hard disks. To improve the response time for making real-time decisions, organizations are adopting high computing in-memory data grid solution and services to cope up with data processing problems. In-memory data grid offers a distributed data storage architecture where data resides in the server's RAM where processing takes place, saving the time spent on accessing and retrieving data from the hard disk. The major vendors offering in-memory data grid across the globe include International Business Machine Corporation (IBM), Oracle, Red Hat, Inc. (Red Hat), Software AG (Software AG), Pivotal Software, Inc. (Pivotal), Hitachi, Ltd. (Hitachi), Hazelcast (Hazelcast), TIBCO Software, Inc. (TIBCO), GridGain Systems, Inc. (GridGain), ScaleOut Software (ScaleOut Software), GigaSpaces (GigaSpaces), Alachisoft (Alachisoft), and TmaxSoft (TmaxSoft). These vendors have adopted several organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to strengthen their presence in the in-memory data grid market. Vendors have been adopting a combination of organic and inorganic growth strategies to expand their customer base and market share. Service enhancement to meet the dynamic market needs and partnerships have been the active strategies implemented by the major vendors in recent years. Key Topics Covered: 1 Introduction 5.2.2 Restraints 5.2.2.1 System/Component Failure May Result in the Loss of Data 5.2.3 Opportunities 5.2.3.1 Attaining High Throughput With Real-Time Processing 5.2.3.2 Improving the Performance of Analytical Applications 5.2.4 Challenges 5.2.4.1 Maintaining Data Security 5.3 Industry Trends 5.3.1 Use Case 1: Pivotal Software 5.3.2 Use Case 2: Hazelcast 5.3.2.1 Use Case 3: Tibco Software 6 In Memory Data Grid Market, By Component 6.1 Introduction 6.2 Solution 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 6.3 Professional Services 6.3.1 Consulting 6.3.1.1 Growing Need Among Organizations to Be Technically Well Versed to Drive the Growth of In-Memory Data Grid Consulting Services 6.3.2 Support and Maintenance 6.3.2.1 Focus on Improving the Performance of Applications to Drive the Growth of In-Memory Data Grid Support and Maintenance Services 6.3.3 Education 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 7 In Memory Data Grid Market, By Business Application 7.1 Introduction 7.2 Transaction Processing 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 7.3 Fraud and Risk Management 7.3.1 Regulatory Compliances Among Organizations to Boost the Adoption of In-Memory Data Grid in the Fraud and Risk Management Business Application 7.4 Supply Chain Optimization 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 7.5 Sales and Marketing Optimization 7.5.1 Adopting In-Memory Data Grid for Analyzing Customer Data to Improve Sales and Marketing Operations 8 In Memory Data Grid Market, By Industry Vertical 8.1 Introduction 8.2 Banking, Financial Services, and Insurance 8.2.1 Demand for Real-Time Analysis of Data Generated From Financial Applications to Drive the Growth of the Market 8.3 Media and Entertainment 8.3.1 Growing Focus of Organizations to Deliver Quality Content at Fast Pace to Drive the Growth of the Market 8.4 Consumer Goods and Retail 8.4.1 Driving Sales By Improving Operational Efficiencies to Drive the Growth of the Market 8.5 Healthcare and Life Sciences 8.5.1 Demand for Proactive Diagnostic Services to Enhance Patient Experience to Drive the Growth of the Market 8.6 Manufacturing 8.6.1 Increasing Need for Real-Time Production Planning and Demand Forecasting to Drive the Growth of the Grid Market 8.7 Telecom and It 8.7.1 Growing Need for Organizations to Cater Dynamic Customer Preferences to Drive the Growth of the Market 8.8 Transportation and Logistics 8.8.1 Demand From Organizations for Accurate Information to Make Better Business Decisions to Drive the Growth of the Market 8.9 Others 9 In Memory Data Grid Market, By Organization Size 9.1 Introduction 9.2 Large Enterprises 9.2.1 Demand for High-Performance Computing to Drive the Growth of the Market 9.3 Small and Medium-Sized Enterprises 9.3.1 Need for Cost-Effective Solutions Offering High Scalability and Enhanced System Performance to Drive the Growth of Market 10 In Memory Data Grid Market, By Deployment Type 10.1 Introduction 10.2 On-Premises 10.2.1 Security Concerns Among Enterprises to Drive the Adoption of the On-Premises In-Memory Data Grid Solution 10.3 Cloud 10.3.1 Scalability and Cost-Effectiveness are the Major Advantages to Adopt A Cloud-Based In-Memory Data Grid Solution 11 In Memory Data Grid Market, By Region 11.1 Introduction 11.2 North America 11.2.1 United States 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 11.2.2 Canada 11.2.2.1 Growing Demand for the Analytical-Based Solutions to Drive the Growth of the Market in Canada 11.3 Europe 11.3.1 United Kingdom 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 11.3.2 Germany 11.3.2.1 Demand for High Technological Solutions to Drive the Growth of Germany In-Memory Data Grid Industry 11.3.3 France 11.3.3.1 Increasing Investments of Organizations in Real-Time Analytics Solutions Leads to the Growth of the Market in France 11.3.4 Rest of Europe 11.4 Asia Pacific 11.4.1 China 11.4.1.1 Increasing Data Volumes Across Industry Verticals to Contribute to the Growth of the Market in China 11.4.2 Japan 11.4.2.1 Rise in the Adoption of Connected Devices to Contribute to the Growth of the Market in Japan 11.4.3 Australia and New Zealand 11.4.3.1 Growing Need to Offer Personalized Products and Services Leads to the Growth of the Market in Australia and New Zealand 11.4.4 Rest of Asia Pacific 11.5 Middle East and Africa 11.5.1 Kingdom of Saudi Arabia 11.5.1.1 Increasing Adoption of Advanced It Infrastructure in the Energy and Utilities Industry Vertical to Contribute to the Growth of the Market in Ksa 11.5.2 United Arab Emirates 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 11.5.3 South Africa 11.5.3.1 Increasing Adoption of In-Memory Computing Technologies to Spur the Demand for the Market in South Africa 11.5.4 Rest of Middle East and Africa 11.6 Latin America 11.6.1 Brazil 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 Market in Brazil 11.6.2 Mexico 11.6.2.1 Government Initiatives in the Market Lead to Increasing Infrastructural Investments From Several Global Investors to Drive the Growth of the Overall Market in Mexico 11.6.3 Rest of Latin America 12 Competitive Landscape 12.1 Overview 12.2 Competitive Scenario 12.2.1 Product/Service/Solution Launches and Enhancements 12.2.2 Business Expansions 12.2.3 Acquisitions 12.2.4 Partnerships 13 Company Profiles 13.1 Introduction 13.2 Oracle 13.3 IBM 13.4 Hazelcast 13.5 Scale Out Software 13.6 Tibco Software 13.7 Red Hat 13.8 Software AG 13.9 Gigaspaces 13.10 Gridgain Systems 13.11 Alachisoft 13.12 Pivotal 13.13 Tmaxsoft 13.14 Hitachi For more information about this report visit https://www.researchandmarkets.com/research/wq24l8/2_3_bn_inmemory?w=5 Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research. 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