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インメモリ・アナリティクス市場。世界の産業動向、シェア、サイズ、成長、機会、および2021-2026年の予測In-Memory Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026 The global in-memory analytics market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of 23% during 2021-2026. Keeping in mind the uncert... もっと見る
サマリーThe global in-memory analytics market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of 23% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.In-memory analytics query data in random access memory (RAM) can be used by multiple users across different applications rapidly, securely, and concurrently. It provides deep insights with speed and precision, resulting in informed and proactive decisions. It also increases revenue, manages risks, and assists in new product or service innovation. Consequently, organizations worldwide are adopting in-memory analytics as it helps them minimize the time spent on query analysis, cube building, aggregate table designing, and other time-consuming tasks. It further enables them to simplify access to data sources, deliver immediate actions and responses, and meet evolving consumer demands. In-Memory Analytics Market Trends: A considerable rise in the adoption of digital technology to transform services or businesses is resulting in a massive proliferation of data in databases. This acts as a primary factor promoting the need for in-memory analytics for fast access to information and easy analysis. Moreover, it is a cost-effective alternative to data warehouses for small and medium-sized enterprises (SMEs) that lack the expertise and resources to construct a data warehouse. In-memory analytics provides the ability to analyze data of varied sizes and complexities with unprecedented speed at an affordable cost. Apart from this, the growing utilization of online banking services is positively influencing the application of in-memory analytics in the banking, financial services, and insurance (BFSI) sector worldwide for risk and transaction management and detection of fraud payments. Furthermore, it is utilized in applications involving geographic information system (GIS) processing. The widespread use of GIS processing for real-time directions on traffic congestion, recommended routes, and traffic hazards in the logistics and transportation industry is anticipated to drive the market. Key Market Segmentation: IMARC Group provides an analysis of the key trends in each sub-segment of the global in-memory analytics market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, application, organization size and vertical. Breakup by Application: Customer Experience Management Design and Innovation Operation Optimization Marketing Management Real-Time Analysis and Decision-making Others Breakup by Organization Size: Small and Medium Enterprises Large Enterprises Breakup by Vertical: BFSI Retail and E-commerce Government and Defense Healthcare Manufacturing IT and Telecommunication Others Breakup by Region: North America United States Canada Asia-Pacific China Japan India South Korea Australia Indonesia Others Europe Germany France United Kingdom Italy Spain Russia Others Latin America Brazil Mexico Others Middle East and Africa Competitive Landscape: The competitive landscape of the industry has also been examined along with the profiles of the key players being ActiveViam, Amazon Web Services Inc., Hitachi Ltd., Information Builders Inc. (Tibco Software Inc.), International Business Machines Corporation, Kognitio Ltd, Microstrategy Incorporated, Oracle Corporation, Qlik Technologies, SAP SE, SAS Institute Inc. and Software AG. Key Questions Answered in This Report: How has the global in-memory analytics market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global in-memory analytics market? What are the key regional markets? What is the breakup of the market based on the application? What is the breakup of the market based on the organization size? What is the breakup of the market based on the vertical? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? What is the structure of the global in-memory analytics market and who are the key players? What is the degree of competition in the industry? 目次1 Preface2 Scope and Methodology 2.1 Objectives of the Study 2.2 Stakeholders 2.3 Data Sources 2.3.1 Primary Sources 2.3.2 Secondary Sources 2.4 Market Estimation 2.4.1 Bottom-Up Approach 2.4.2 Top-Down Approach 2.5 Forecasting Methodology 3 Executive Summary 4 Introduction 4.1 Overview 4.2 Key Industry Trends 5 Global In-Memory Analytics Market 5.1 Market Overview 5.2 Market Performance 5.3 Impact of COVID-19 5.4 Market Forecast 6 Market Breakup by Application 6.1 Customer Experience Management 6.1.1 Market Trends 6.1.2 Market Forecast 6.2 Design and Innovation 6.2.1 Market Trends 6.2.2 Market Forecast 6.3 Operation Optimization 6.3.1 Market Trends 6.3.2 Market Forecast 6.4 Marketing Management 6.4.1 Market Trends 6.4.2 Market Forecast 6.5 Real-Time Analysis and Decision-making 6.5.1 Market Trends 6.5.2 Market Forecast 6.6 Others 6.6.1 Market Trends 6.6.2 Market Forecast 7 Market Breakup by Organization Size 7.1 Small and Medium Enterprises 7.1.1 Market Trends 7.1.2 Market Forecast 7.2 Large Enterprises 7.2.1 Market Trends 7.2.2 Market Forecast 8 Market Breakup by Vertical 8.1 BFSI 8.1.1 Market Trends 8.1.2 Market Forecast 8.2 Retail and E-commerce 8.2.1 Market Trends 8.2.2 Market Forecast 8.3 Government and Defense 8.3.1 Market Trends 8.3.2 Market Forecast 8.4 Healthcare 8.4.1 Market Trends 8.4.2 Market Forecast 8.5 Manufacturing 8.5.1 Market Trends 8.5.2 Market Forecast 8.6 IT and Telecommunication 8.6.1 Market Trends 8.6.2 Market Forecast 8.7 Others 8.7.1 Market Trends 8.7.2 Market Forecast 9 Market Breakup by Region 9.1 North America 9.1.1 United States 9.1.1.1 Market Trends 9.1.1.2 Market Forecast 9.1.2 Canada 9.1.2.1 Market Trends 9.1.2.2 Market Forecast 9.2 Asia-Pacific 9.2.1 China 9.2.1.1 Market Trends 9.2.1.2 Market Forecast 9.2.2 Japan 9.2.2.1 Market Trends 9.2.2.2 Market Forecast 9.2.3 India 9.2.3.1 Market Trends 9.2.3.2 Market Forecast 9.2.4 South Korea 9.2.4.1 Market Trends 9.2.4.2 Market Forecast 9.2.5 Australia 9.2.5.1 Market Trends 9.2.5.2 Market Forecast 9.2.6 Indonesia 9.2.6.1 Market Trends 9.2.6.2 Market Forecast 9.2.7 Others 9.2.7.1 Market Trends 9.2.7.2 Market Forecast 9.3 Europe 9.3.1 Germany 9.3.1.1 Market Trends 9.3.1.2 Market Forecast 9.3.2 France 9.3.2.1 Market Trends 9.3.2.2 Market Forecast 9.3.3 United Kingdom 9.3.3.1 Market Trends 9.3.3.2 Market Forecast 9.3.4 Italy 9.3.4.1 Market Trends 9.3.4.2 Market Forecast 9.3.5 Spain 9.3.5.1 Market Trends 9.3.5.2 Market Forecast 9.3.6 Russia 9.3.6.1 Market Trends 9.3.6.2 Market Forecast 9.3.7 Others 9.3.7.1 Market Trends 9.3.7.2 Market Forecast 9.4 Latin America 9.4.1 Brazil 9.4.1.1 Market Trends 9.4.1.2 Market Forecast 9.4.2 Mexico 9.4.2.1 Market Trends 9.4.2.2 Market Forecast 9.4.3 Others 9.4.3.1 Market Trends 9.4.3.2 Market Forecast 9.5 Middle East and Africa 9.5.1 Market Trends 9.5.2 Market Breakup by Country 9.5.3 Market Forecast 10 SWOT Analysis 10.1 Overview 10.2 Strengths 10.3 Weaknesses 10.4 Opportunities 10.5 Threats 11 Value Chain Analysis 12 Porters Five Forces Analysis 12.1 Overview 12.2 Bargaining Power of Buyers 12.3 Bargaining Power of Suppliers 12.4 Degree of Competition 12.5 Threat of New Entrants 12.6 Threat of Substitutes 13 Price Analysis 14 Competitive Landscape 14.1 Market Structure 14.2 Key Players 14.3 Profiles of Key Players 14.3.1 ActiveViam 14.3.1.1 Company Overview 14.3.1.2 Product Portfolio 14.3.2 Amazon Web Services Inc. 14.3.2.1 Company Overview 14.3.2.2 Product Portfolio 14.3.2.3 Financials 14.3.2.4 SWOT Analysis 14.3.3 Hitachi Ltd. 14.3.3.1 Company Overview 14.3.3.2 Product Portfolio 14.3.3.3 Financials 14.3.3.4 SWOT Analysis 14.3.4 Information Builders Inc. (Tibco Software Inc.) 14.3.4.1 Company Overview 14.3.4.2 Product Portfolio 14.3.5 International Business Machines Corporation 14.3.5.1 Company Overview 14.3.5.2 Product Portfolio 14.3.5.3 Financials 14.3.5.4 SWOT Analysis 14.3.6 Kognitio Ltd 14.3.6.1 Company Overview 14.3.6.2 Product Portfolio 14.3.7 Microstrategy Incorporated 14.3.7.1 Company Overview 14.3.7.2 Product Portfolio 14.3.7.3 Financials 14.3.7.4 SWOT Analysis 14.3.8 Oracle Corporation 14.3.8.1 Company Overview 14.3.8.2 Product Portfolio 14.3.8.3 Financials 14.3.8.4 SWOT Analysis 14.3.9 Qlik Technologies 14.3.9.1 Company Overview 14.3.9.2 Product Portfolio 14.3.10 SAP SE 14.3.10.1 Company Overview 14.3.10.2 Product Portfolio 14.3.10.3 Financials 14.3.10.4 SWOT Analysis 14.3.11 SAS Institute Inc. 14.3.11.1 Company Overview 14.3.11.2 Product Portfolio 14.3.11.3 SWOT Analysis 14.3.12 Software AG 14.3.12.1 Company Overview 14.3.12.2 Product Portfolio 14.3.12.3 Financials
SummaryThe global in-memory analytics market exhibited strong growth during 2015-2020. Looking forward, IMARC Group expects the market to grow at a CAGR of 23% during 2021-2026. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.In-memory analytics query data in random access memory (RAM) can be used by multiple users across different applications rapidly, securely, and concurrently. It provides deep insights with speed and precision, resulting in informed and proactive decisions. It also increases revenue, manages risks, and assists in new product or service innovation. Consequently, organizations worldwide are adopting in-memory analytics as it helps them minimize the time spent on query analysis, cube building, aggregate table designing, and other time-consuming tasks. It further enables them to simplify access to data sources, deliver immediate actions and responses, and meet evolving consumer demands. In-Memory Analytics Market Trends: A considerable rise in the adoption of digital technology to transform services or businesses is resulting in a massive proliferation of data in databases. This acts as a primary factor promoting the need for in-memory analytics for fast access to information and easy analysis. Moreover, it is a cost-effective alternative to data warehouses for small and medium-sized enterprises (SMEs) that lack the expertise and resources to construct a data warehouse. In-memory analytics provides the ability to analyze data of varied sizes and complexities with unprecedented speed at an affordable cost. Apart from this, the growing utilization of online banking services is positively influencing the application of in-memory analytics in the banking, financial services, and insurance (BFSI) sector worldwide for risk and transaction management and detection of fraud payments. Furthermore, it is utilized in applications involving geographic information system (GIS) processing. The widespread use of GIS processing for real-time directions on traffic congestion, recommended routes, and traffic hazards in the logistics and transportation industry is anticipated to drive the market. Key Market Segmentation: IMARC Group provides an analysis of the key trends in each sub-segment of the global in-memory analytics market, along with forecasts at the global, regional and country level from 2021-2026. Our report has categorized the market based on region, application, organization size and vertical. Breakup by Application: Customer Experience Management Design and Innovation Operation Optimization Marketing Management Real-Time Analysis and Decision-making Others Breakup by Organization Size: Small and Medium Enterprises Large Enterprises Breakup by Vertical: BFSI Retail and E-commerce Government and Defense Healthcare Manufacturing IT and Telecommunication Others Breakup by Region: North America United States Canada Asia-Pacific China Japan India South Korea Australia Indonesia Others Europe Germany France United Kingdom Italy Spain Russia Others Latin America Brazil Mexico Others Middle East and Africa Competitive Landscape: The competitive landscape of the industry has also been examined along with the profiles of the key players being ActiveViam, Amazon Web Services Inc., Hitachi Ltd., Information Builders Inc. (Tibco Software Inc.), International Business Machines Corporation, Kognitio Ltd, Microstrategy Incorporated, Oracle Corporation, Qlik Technologies, SAP SE, SAS Institute Inc. and Software AG. Key Questions Answered in This Report: How has the global in-memory analytics market performed so far and how will it perform in the coming years? What has been the impact of COVID-19 on the global in-memory analytics market? What are the key regional markets? What is the breakup of the market based on the application? What is the breakup of the market based on the organization size? What is the breakup of the market based on the vertical? What are the various stages in the value chain of the industry? What are the key driving factors and challenges in the industry? What is the structure of the global in-memory analytics market and who are the key players? What is the degree of competition in the industry? Table of Contents1 Preface2 Scope and Methodology 2.1 Objectives of the Study 2.2 Stakeholders 2.3 Data Sources 2.3.1 Primary Sources 2.3.2 Secondary Sources 2.4 Market Estimation 2.4.1 Bottom-Up Approach 2.4.2 Top-Down Approach 2.5 Forecasting Methodology 3 Executive Summary 4 Introduction 4.1 Overview 4.2 Key Industry Trends 5 Global In-Memory Analytics Market 5.1 Market Overview 5.2 Market Performance 5.3 Impact of COVID-19 5.4 Market Forecast 6 Market Breakup by Application 6.1 Customer Experience Management 6.1.1 Market Trends 6.1.2 Market Forecast 6.2 Design and Innovation 6.2.1 Market Trends 6.2.2 Market Forecast 6.3 Operation Optimization 6.3.1 Market Trends 6.3.2 Market Forecast 6.4 Marketing Management 6.4.1 Market Trends 6.4.2 Market Forecast 6.5 Real-Time Analysis and Decision-making 6.5.1 Market Trends 6.5.2 Market Forecast 6.6 Others 6.6.1 Market Trends 6.6.2 Market Forecast 7 Market Breakup by Organization Size 7.1 Small and Medium Enterprises 7.1.1 Market Trends 7.1.2 Market Forecast 7.2 Large Enterprises 7.2.1 Market Trends 7.2.2 Market Forecast 8 Market Breakup by Vertical 8.1 BFSI 8.1.1 Market Trends 8.1.2 Market Forecast 8.2 Retail and E-commerce 8.2.1 Market Trends 8.2.2 Market Forecast 8.3 Government and Defense 8.3.1 Market Trends 8.3.2 Market Forecast 8.4 Healthcare 8.4.1 Market Trends 8.4.2 Market Forecast 8.5 Manufacturing 8.5.1 Market Trends 8.5.2 Market Forecast 8.6 IT and Telecommunication 8.6.1 Market Trends 8.6.2 Market Forecast 8.7 Others 8.7.1 Market Trends 8.7.2 Market Forecast 9 Market Breakup by Region 9.1 North America 9.1.1 United States 9.1.1.1 Market Trends 9.1.1.2 Market Forecast 9.1.2 Canada 9.1.2.1 Market Trends 9.1.2.2 Market Forecast 9.2 Asia-Pacific 9.2.1 China 9.2.1.1 Market Trends 9.2.1.2 Market Forecast 9.2.2 Japan 9.2.2.1 Market Trends 9.2.2.2 Market Forecast 9.2.3 India 9.2.3.1 Market Trends 9.2.3.2 Market Forecast 9.2.4 South Korea 9.2.4.1 Market Trends 9.2.4.2 Market Forecast 9.2.5 Australia 9.2.5.1 Market Trends 9.2.5.2 Market Forecast 9.2.6 Indonesia 9.2.6.1 Market Trends 9.2.6.2 Market Forecast 9.2.7 Others 9.2.7.1 Market Trends 9.2.7.2 Market Forecast 9.3 Europe 9.3.1 Germany 9.3.1.1 Market Trends 9.3.1.2 Market Forecast 9.3.2 France 9.3.2.1 Market Trends 9.3.2.2 Market Forecast 9.3.3 United Kingdom 9.3.3.1 Market Trends 9.3.3.2 Market Forecast 9.3.4 Italy 9.3.4.1 Market Trends 9.3.4.2 Market Forecast 9.3.5 Spain 9.3.5.1 Market Trends 9.3.5.2 Market Forecast 9.3.6 Russia 9.3.6.1 Market Trends 9.3.6.2 Market Forecast 9.3.7 Others 9.3.7.1 Market Trends 9.3.7.2 Market Forecast 9.4 Latin America 9.4.1 Brazil 9.4.1.1 Market Trends 9.4.1.2 Market Forecast 9.4.2 Mexico 9.4.2.1 Market Trends 9.4.2.2 Market Forecast 9.4.3 Others 9.4.3.1 Market Trends 9.4.3.2 Market Forecast 9.5 Middle East and Africa 9.5.1 Market Trends 9.5.2 Market Breakup by Country 9.5.3 Market Forecast 10 SWOT Analysis 10.1 Overview 10.2 Strengths 10.3 Weaknesses 10.4 Opportunities 10.5 Threats 11 Value Chain Analysis 12 Porters Five Forces Analysis 12.1 Overview 12.2 Bargaining Power of Buyers 12.3 Bargaining Power of Suppliers 12.4 Degree of Competition 12.5 Threat of New Entrants 12.6 Threat of Substitutes 13 Price Analysis 14 Competitive Landscape 14.1 Market Structure 14.2 Key Players 14.3 Profiles of Key Players 14.3.1 ActiveViam 14.3.1.1 Company Overview 14.3.1.2 Product Portfolio 14.3.2 Amazon Web Services Inc. 14.3.2.1 Company Overview 14.3.2.2 Product Portfolio 14.3.2.3 Financials 14.3.2.4 SWOT Analysis 14.3.3 Hitachi Ltd. 14.3.3.1 Company Overview 14.3.3.2 Product Portfolio 14.3.3.3 Financials 14.3.3.4 SWOT Analysis 14.3.4 Information Builders Inc. (Tibco Software Inc.) 14.3.4.1 Company Overview 14.3.4.2 Product Portfolio 14.3.5 International Business Machines Corporation 14.3.5.1 Company Overview 14.3.5.2 Product Portfolio 14.3.5.3 Financials 14.3.5.4 SWOT Analysis 14.3.6 Kognitio Ltd 14.3.6.1 Company Overview 14.3.6.2 Product Portfolio 14.3.7 Microstrategy Incorporated 14.3.7.1 Company Overview 14.3.7.2 Product Portfolio 14.3.7.3 Financials 14.3.7.4 SWOT Analysis 14.3.8 Oracle Corporation 14.3.8.1 Company Overview 14.3.8.2 Product Portfolio 14.3.8.3 Financials 14.3.8.4 SWOT Analysis 14.3.9 Qlik Technologies 14.3.9.1 Company Overview 14.3.9.2 Product Portfolio 14.3.10 SAP SE 14.3.10.1 Company Overview 14.3.10.2 Product Portfolio 14.3.10.3 Financials 14.3.10.4 SWOT Analysis 14.3.11 SAS Institute Inc. 14.3.11.1 Company Overview 14.3.11.2 Product Portfolio 14.3.11.3 SWOT Analysis 14.3.12 Software AG 14.3.12.1 Company Overview 14.3.12.2 Product Portfolio 14.3.12.3 Financials
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