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The In-Memory Computing Market size was USD 17.8 billion in 2023 and is expected to Reach USD 72 billion by 2032 and grow at a CAGR of 16.8% over the forecast period of 2024-2032.
The practice of keeping data in the computer's random-access memory rather than on slow disk drives is known as in-memory computing. Users can more quickly review large data volumes thanks to in-memory computing, which also reduces storage latency in general. Data integration, the ability to make decisions more quickly, and cost savings are just a few of the operations that are impacted by in-memory computing. As a result, massive data analysis is made possible. In-memory computing is essentially the process of moving data that was previously stored on hard disks into main memory. For corporate clients including retailers, banks, and service providers, in-memory computing makes it simpler for them to swiftly find patterns, analyse large amounts of data at once, and carry out their business activities. Cloud computing is making in-memory computing more accessible to organizations of all sizes. the in-memory computing market is segmented by Hardware, Software, application, and industry, the real-time analytics segment dominated the in-memory computing market in 2022, accounting for the largest market share. This is due to the increasing demand for real-time insights from large volumes of data. The machine learning segment is expected to grow at the fastest CAGR during the forecast period, due to the increasing adoption of machine learning technologies in a variety of industries. In-memory processes work faster than disk-to-memory systems, which allows businesses to speed up the decision-making process using the data. In-memory technologies allow decision-makers to reach the information they are looking for rapidly and easily. In-memory technology has been in the market for several years and the demand for smart, interactive experiences involves back-end systems and programs to operate at high performance and deliver the data faster. For Eg. SAP announced on May 8, 2023, that it was adding new in-memory computing features to its SAP HANA platform. The features are designed to help organizations improve the performance of their applications.
KEY DRIVERS
The exponential growth of big data to improve machine-driven decision-making
Increased adoption of in-memory computing and databases in corporate enterprises
The growing demand for faster processing and analytics on big data is driving the adoption of In-Memory Computing. As the volume and complexity of data continue to increase, traditional disk-based systems struggle to deliver the required performance and speed. In-Memory Computing addresses this need by leveraging the speed and efficiency of RAM, enabling organizations to analyse and process data in real-time
RESTRAIN
The demand of In-Memory Computing may be hampered by rising system costs brought on by the increased use of RAM and DRAM.
Lack of awareness about the benefits of in-memory computing
As the amount of data that needs to be processed in real-time increases, the need for more RAM and DRAM also increases, which can lead to higher system costs. This can be a major restraint for companies that are considering adopting In-Memory Computing solutions, especially for small and medium-sized businesses that may not have the budget to invest in expensive hardware
OPPORTUNITY
The growth of the IoT will generate a massive amount of data that can be processed in real time using in-memory computing.
The development of new applications that require real-time processing and analysis will create new opportunities for in-memory computing.
The need for huge data processing to handle the rise in internet and mobile banking usage will likely open up new opportunities for business expansion.
CHALLENGES
Lack of standards in-memory computing, which can make it difficult for organizations to choose and implement solutions.
The lack of standards to migrate from traditional systems to new IMC compliant systems may lead to compatibility issues, which is also expected to be a key challenge faced by the industry.
The Russia-Ukraine war has had a significant impact on the in-memory computing market, with many companies reporting decreased revenue, sales, and profits. SAP, a leading provider of in-memory computing solutions, reported a 10% decrease in revenue in the first quarter of 2023. Oracle, another leading provider of in-memory computing solutions, reported a 5% decrease in revenue in the first quarter of 2023. The company said that the war in Ukraine has had a "negative impact" on its business. The company attributed the decline to the war in Ukraine, which has disrupted supply chains and caused economic uncertainty. The war has caused a decrease in investment in in-memory computing solutions. Microsoft announced on March 15, 2023, that it was suspending sales of new products and services in Russia. The company said that it was taking this step in response to the war in Ukraine.
IMPACT OF ONGOING RECESSION
The in-memory computing market is still in its early stages of development, and it is likely to be disrupted by the recession. Cloud computing is a major driver of the in-memory computing market. A recession could lead to slower adoption of cloud computing, which could hurt the in-memory computing market. The semiconductor industry is a major supplier of in-memory computing components, such as DRAM and NAND flash. A recession could lead to lower demand for semiconductors, which could in turn hurt the in-memory computing market. Intel is a major supplier of semiconductor chips. The company could see lower demand for its chips in a recession. Companies may delay the launch of new in-memory computing products due to the uncertainty caused by the recession. However, the long-term prospects for the market remain positive. The increasing demand for data processing and the growing popularity of cloud computing are driving the growth of the market. The recession is likely to slow this growth, but it is not likely to derail the market.
North America is the largest market for in-memory computing, accounting for 35% of the global market in 2022. The United States is the largest market for in-memory computing in North America. The market is driven by the increasing demand for real-time analytics, big data processing, and artificial intelligence in the country. The increasing demand for real-time analytics are the key factors driving the growth of the in-memory computing market in North America. SAP HANA gained significant attention in North America for its ability to process large volumes of data in real time, enabling businesses to gain valuable insights for decision-making. The financial sector in North America has shown interest in IMC for high-frequency trading, risk assessment, fraud detection, and portfolio management.
The Asia-Pacific region is anticipated to have significant growth throughout the projection period. Due to the existence of several developing nations like China and India, Services like business process outsourcing and knowledge process outsourcing are well-known in these nations. A manufacturing base can be found in these nations. In order to make decisions, every business process that is carried out generates a significant amount of data that must be stored, processed, and analysed. The in-memory computing industry is expanding in the Asia-Pacific region as a result of rising investments from a number of technology companies.
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The major players are TIBCO Software Inc., Microsoft Corporation, SAP SE, Intel Corporation, Oracle Corporation, Software AG, Fujitsu Limited, Salesforce.com Inc., International Business Machines Corporation, SAS Institute Inc. and other players.
Intel:
In January 12, 2023, Intel announced that it was introducing Optane Persistent Memory, a new type of memory that combines the speed of DRAM with the capacity of flash memory. Optane Persistent Memory is designed to be used in in-memory computing applications, such as real-time analytics and machine learning.
Microsoft:
In March 8, 2023, Microsoft released an in-memory analytics platform called Azure Synapse Analytics. Azure Synapse Analytics is designed to help organizations analyse large volumes of data in real-time. The platform is a combination of Azure SQL Data Warehouse and Azure Data Lake Storage.
| Report Attributes | Details |
| Market Size in 2022 | US$ 15.2 Bn |
| Market Size by 2030 | US$ 52.6 Bn |
| CAGR | CAGR of 16.8% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2019-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Solutions {In-Memory Database (IMDB)[Online Analytical Processing (OLAP), Online Transaction Processing (OLTP)], In-Memory Data Grid (IMDG), Data Stream Processing}, Services {Professional Services[Consulting, System Integration and Implementation, Support and Maintenance], Managed Services } • By Deployment Mode (Cloud, On-premises) • By Enterprise Size (SMEs, Large Enterprises) • By Application (Risk Management and Fraud Detection, Sentiment Analysis, Geospatial/GIS Processing, Sales and Marketing Optimization, Predictive Analysis, Supply Chain Management, Others) •By Vertical (Healthcare & Life Sciences, Retail & eCommerce, Transportation & Logistics, Government & Defence, IT & Telecom, BFSI, Energy & Utilities, Media & Entertaiment, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | TIBCO Software Inc., Microsoft Corporation, SAP SE, Intel Corporation, Oracle Corporation, Software AG, Fujitsu Limited, Salesforce.com Inc., International Business Machines Corporation, SAS Institute Inc. |
| Key Drivers | • The exponential growth of big data to improve machine-driven decision-making • Increased adoption of in-memory computing and databases in corporate enterprises |
| Market Restraints | • The demand of In-Memory Computing may be hampered by rising system costs brought on by the increased use of RAM and DRAM. • Lack of awareness about the benefits of in-memory computing |
Ans. The In-Memory Computing Market is to grow at a CAGR of 16.8% From 2023 to 2030.
Ans. The In-Memory Computing Market size is estimated to reach USD 52.6 Billion by 2030.
Ans. The key drivers of the In-Memory Computing market include increased adoption of in-memory computing and databases in corporate enterprises, exponential growth of big data, decrease in the overall cost of RAM and TCO, and increase in production with real-time and low-latency transaction processing.
Ans. The opportunities in the In-Memory Computing market include growing demand for real-time data processing and analytics, increasing adoption of cloud-based in-memory computing solutions, and the emergence of hybrid transactional analytical processing enabling in-memory computing technologies.
Ans. HTAP stands for hybrid transactional/analytical processing, which is a technology that enables both online transaction processing (OLTP) and online analytical processing on the same in-memory data store.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. In-Memory Computing Market Segmentation, by Component
8.1 Solutions
8.1.1 In-Memory Database (IMDB)
8.1.1.1 Online Analytical Processing (OLAP)
8.1.1.2 Online Transaction Processing (OLTP)
8.1.2 In-Memory Data Grid (IMDG)
8.1.3 Data Stream Processing
8.2 Services
8.2.1 Professional Services
8.2.1.1 Consulting
8.2.1.2 System Integration and Implementation
8.2.1.3 Support and Maintenance
8.2.2 Managed Services
9. In-Memory Computing Market Segmentation, by Deployment
9.1 On-Premises
9.2 Cloud
10. In-Memory Computing Market Segmentation, by Enterprise Size
10.1 Large Enterprise
10.2 Small and Medium Size Enterprise
11. In-Memory Computing Market Segmentation, by Application
11.1 Risk Management
11.2 Risk Management and Fraud Detection
11.3 Sentiment Analysis
11.4 Geospatial/GIS Processing
11.5 Sales and Marketing Optimization
11.6 Predictive Analysis
11.7 Supply Chain Management
11.8 Others
12. In-Memory Computing Market Segmentation. By Vertical
12.1 Healthcare & Life Sciences
12.2 Retail & eCommerce
12.3 Transportation & Logistics
12.4 Government & Defence
12.5 IT & Telecom
12.6 BFSI
12.7 Energy & Utilities
12.8 Media & Entertaiment
12.9 Others
13 Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America In-Memory Computing Market By Country
13.2.2 North America In-Memory Computing Market By component
13.2.3 North America In-Memory Computing Market By Deployment
13.2.4 North America In-Memory Computing Market By Enterprise Size
13.2.5 North America In-Memory Computing Market By Application
13.2.6 North America In-Memory Computing Market By Vertical
13.2.7 USA
13.2.7.1 USA In-Memory Computing Market By component
13.2.7.2 USA In-Memory Computing Market By Deployment
13.2.7.3 USA In-Memory Computing Market By Enterprise Size
13.2.7.4 USA In-Memory Computing Market By Application
13.2.7.5 USA In-Memory Computing Market By Vertical
13.2.8 Canada
13.2.8.1 Canada In-Memory Computing Market By component
13.2.8.2 Canada In-Memory Computing Market By Deployment
13.2.8.3 Canada In-Memory Computing Market By Enterprise Size
13.2.8.4 Canada In-Memory Computing Market By Application
13.2.8.5 Canada In-Memory Computing Market By Vertical
13.2.9 Mexico
13.2.9.1 Mexico In-Memory Computing Market By component
13.2.9.2 Mexico In-Memory Computing Market By Deployment
13.2.9.3 Mexico In-Memory Computing Market By Enterprise Size
13.2.9.4 Mexico In-Memory Computing Market By Application
13.2.9.5 Mexico In-Memory Computing Market By Vertical
13.3 Europe
13.3.1 Eastern Europe
13.3.1.1 Eastern Europe In-Memory Computing Market By Country
13.3.1.2 Eastern Europe In-Memory Computing Market By component
13.3.1.3 Eastern Europe In-Memory Computing Market By Deployment
13.3.1.4 Eastern Europe In-Memory Computing Market By Enterprise Size
13.3.1.5 Eastern Europe In-Memory Computing Market By Application
13.3.1.6 Eastern Europe In-Memory Computing Market By Vertical
13.3.1.7 Poland
13.3.1.7.1 Poland In-Memory Computing Market By component
13.3.1.7.2 Poland In-Memory Computing Market By Deployment
13.3.1.7.3 Poland In-Memory Computing Market By Enterprise Size
13.3.1.7.4 Poland In-Memory Computing Market By Application
13.3.1.7.5 Poland In-Memory Computing Market By Vertical
13.3.1.8 Romania
13.3.1.8.1 Romania In-Memory Computing Market By component
13.3.1.8.2 Romania In-Memory Computing Market By Deployment
13.3.1.8.3 Romania In-Memory Computing Market By Enterprise Size
13.3.1.8.4 Romania In-Memory Computing Market By Application
13.3.1.8.5 Romania In-Memory Computing Market By Vertical
13.3.1.9 Hungary
13.3.1.9.1 Hungary In-Memory Computing Market By component
13.3.1.9.2 Hungary In-Memory Computing Market By Deployment
13.3.1.9.3 Hungary In-Memory Computing Market By Enterprise Size
13.3.1.9.4 Hungary In-Memory Computing Market By Application
13.3.1.9.5 Hungary In-Memory Computing Market By Vertical
13.3.1.10 Turkey
13.3.1.10.1 Turkey In-Memory Computing Market By component
13.3.1.10.2 Turkey In-Memory Computing Market By Deployment
13.3.1.10.3 Turkey In-Memory Computing Market By Enterprise Size
13.3.1.10.4 Turkey In-Memory Computing Market By Application
13.3.1.10.5 Turkey In-Memory Computing Market By Vertical
13.3.1.11 Rest of Eastern Europe
13.3.1.11.1 Rest of Eastern Europe In-Memory Computing Market By component
13.3.1.11.2 Rest of Eastern Europe In-Memory Computing Market By Deployment
13.3.1.11.3 Rest of Eastern Europe In-Memory Computing Market By Enterprise Size
13.3.1.11.4 Rest of Eastern Europe In-Memory Computing Market By Application
13.3.1.11.5 Rest of Eastern Europe In-Memory Computing Market By Vertical
13.3.2 Western Europe
13.3.2.1 Western Europe In-Memory Computing Market By Country
13.3.2.2 Western Europe In-Memory Computing Market By component
13.3.2.3 Western Europe In-Memory Computing Market By Deployment
13.3.2.4 Western Europe In-Memory Computing Market By Enterprise Size
13.3.2.5 Western Europe In-Memory Computing Market By Application
13.3.2.6 Western Europe In-Memory Computing Market By Vertical
13.3.2.7 Germany
13.3.2.7.1 Germany In-Memory Computing Market By component
13.3.2.7.2 Germany In-Memory Computing Market By Deployment
13.3.2.7.3 Germany In-Memory Computing Market By Enterprise Size
13.3.2.7.4 Germany In-Memory Computing Market By Application
13.3.2.7.5 Germany In-Memory Computing Market By Vertical
13.3.2.8 France
13.3.2.8.1 France In-Memory Computing Market By component
13.3.2.8.2 France In-Memory Computing Market By Deployment
13.3.2.8.3 France In-Memory Computing Market By Enterprise Size
13.3.2.8.4 France In-Memory Computing Market By Application
13.3.2.8.5 France In-Memory Computing Market By Vertical
13.3.2.9 UK
13.3.2.9.1 UK In-Memory Computing Market By component
13.3.2.9.2 UK In-Memory Computing Market By Deployment
13.3.2.9.3 UK In-Memory Computing Market By Enterprise Size
13.3.2.9.4 UK In-Memory Computing Market By Application
13.3.2.9.5 UK In-Memory Computing Market By Vertical
13.3.2.10 Italy
13.3.2.10.1 Italy In-Memory Computing Market By component
13.3.2.10.2 Italy In-Memory Computing Market By Deployment
13.3.2.10.3 Italy In-Memory Computing Market By Enterprise Size
13.3.2.10.4 Italy In-Memory Computing Market By Application
13.3.2.10.5 Italy In-Memory Computing Market By Vertical
13.3.2.11 Spain
13.3.2.11.1 Spain In-Memory Computing Market By component
13.3.2.11.2 Spain In-Memory Computing Market By Deployment
13.3.2.11.3 Spain In-Memory Computing Market By Enterprise Size
13.3.2.11.4 Spain In-Memory Computing Market By Application
13.3.2.11.5 Spain In-Memory Computing Market By Vertical
13.3.2.12 The Netherlands
13.3.2.12.1 Netherlands In-Memory Computing Market By component
13.3.2.12.2 Netherlands In-Memory Computing Market By Deployment
13.3.2.12.3 Netherlands In-Memory Computing Market By Enterprise Size
13.3.2.12.4 Netherlands In-Memory Computing Market By Application
13.3.2.12.5 Netherlands In-Memory Computing Market By Vertical
13.3.2.13 Switzerland
13.3.2.13.1 Switzerland In-Memory Computing Market By component
13.3.2.13.2 Switzerland In-Memory Computing Market By Deployment
13.3.2.13.3 Switzerland In-Memory Computing Market By Enterprise Size
13.3.2.13.4 Switzerland In-Memory Computing Market By Application
13.3.2.13.5 Switzerland In-Memory Computing Market By Vertical
13.3.2.14 Austria
13.3.2.14.1 Austria In-Memory Computing Market By component
13.3.2.14.2 Austria In-Memory Computing Market By Deployment
13.3.2.14.3 Austria In-Memory Computing Market By Enterprise Size
13.3.2.14.4 Austria In-Memory Computing Market By Application
13.3.2.14.5 Austria In-Memory Computing Market By Vertical
13.3.2.15 Rest of Western Europe
13.3.2.15.1 Rest of Western Europe In-Memory Computing Market By component
13.3.2.15.2 Rest of Western Europe In-Memory Computing Market By Deployment
13.3.2.15.3 Rest of Western Europe In-Memory Computing Market By Enterprise Size
13.3.2.15.4 Rest of Western Europe In-Memory Computing Market By Application
13.3.2.15.5 Rest of Western Europe In-Memory Computing Market By Vertical
13.4 Asia-Pacific
13.4.1 Asia Pacific In-Memory Computing Market By Country
13.4.2 Asia Pacific In-Memory Computing Market By component
13.4.3 Asia Pacific In-Memory Computing Market By Deployment
13.4.4 Asia Pacific In-Memory Computing Market By Enterprise Size
13.4.5 Asia Pacific In-Memory Computing Market By Application
13.4.6 Asia Pacific In-Memory Computing Market By Vertical
13.4.7 China
13.4.7.1 China In-Memory Computing Market By component
13.4.7.2 China In-Memory Computing Market By Deployment
13.4.7.3 China In-Memory Computing Market By Enterprise Size
13.4.7.4 China In-Memory Computing Market By Application
13.4.7.5 China In-Memory Computing Market By Vertical
13.4.8 India
13.4.8.1 India In-Memory Computing Market By component
13.4.8.2 India In-Memory Computing Market By Deployment
13.4.8.3 India In-Memory Computing Market By Enterprise Size
13.4.8.4 India In-Memory Computing Market By Application
13.4.8.5 India In-Memory Computing Market By Vertical
13.4.9 Japan
13.4.9.1 Japan In-Memory Computing Market By component
13.4.9.2 Japan In-Memory Computing Market By Deployment
13.4.9.3 Japan In-Memory Computing Market By Enterprise Size
13.4.9.4 Japan In-Memory Computing Market By Application
13.4.9.5 Japan In-Memory Computing Market By Vertical
13.4.10 South Korea
13.4.10.1 South Korea In-Memory Computing Market By component
13.4.10.2 South Korea In-Memory Computing Market By Deployment
13.4.10.3 South Korea In-Memory Computing Market By Enterprise Size
13.4.10.4 South Korea In-Memory Computing Market By Application
13.4.10.5 South Korea In-Memory Computing Market By Vertical
13.4.11 Vietnam
13.4.11.1 Vietnam In-Memory Computing Market By component
13.4.11.2 Vietnam In-Memory Computing Market By Deployment
13.4.11.3 Vietnam In-Memory Computing Market By Enterprise Size
13.4.11.4 Vietnam In-Memory Computing Market By Application
13.4.11.5 Vietnam In-Memory Computing Market By Vertical
13.4.12 Singapore
13.4.12.1 Singapore In-Memory Computing Market By component
13.4.12.2 Singapore In-Memory Computing Market By Deployment
13.4.12.3 Singapore In-Memory Computing Market By Enterprise Size
13.4.12.4 Singapore In-Memory Computing Market By Application
13.4.12.5 Singapore In-Memory Computing Market By Vertical
13.4.13 Australia
13.4.13.1 Australia In-Memory Computing Market By component
13.4.13.2 Australia In-Memory Computing Market By Deployment
13.4.13.3 Australia In-Memory Computing Market By Enterprise Size
13.4.13.4 Australia In-Memory Computing Market By Application
13.4.13.5 Australia In-Memory Computing Market By Vertical
13.4.14 Rest of Asia-Pacific
13.4.14.1 APAC In-Memory Computing Market By component
13.4.14.2 APAC In-Memory Computing Market By Deployment
13.4.14.3 APAC In-Memory Computing Market By Enterprise Size
13.4.14.4 APAC In-Memory Computing Market By Application
13.4.14.5 APAC In-Memory Computing Market By Vertical
13.5 The Middle East & Africa
13.5.1 Middle East
13.5.1.1 Middle East In-Memory Computing Market By country
13.5.1.2 Middle East In-Memory Computing Market By component
13.5.1.3 Middle East In-Memory Computing Market By Deployment
13.5.1.4 Middle East In-Memory Computing Market By Enterprise Size
13.5.1.5 Middle East In-Memory Computing Market By Application
13.5.1.6 Middle East In-Memory Computing Market By Vertical
13.5.1.7 UAE
13.5.1.7.1 UAE In-Memory Computing Market By component
13.5.1.7.2 UAE In-Memory Computing Market By Deployment
13.5.1.7.3 UAE In-Memory Computing Market By Enterprise Size
13.5.1.7.4 UAE In-Memory Computing Market By Application
13.5.1.7.5 UAE In-Memory Computing Market By Vertical
13.5.1.8 Egypt
13.5.1.8.1 Egypt In-Memory Computing Market By component
13.5.1.8.2 Egypt In-Memory Computing Market By Deployment
13.5.1.8.3 Egypt In-Memory Computing Market By Enterprise Size
13.5.1.8.4 Egypt In-Memory Computing Market By Application
13.5.1.8.5 Egypt In-Memory Computing Market By Vertical
13.5.1.9 Saudi Arabia
13.5.1.9.1 Saudi Arabia In-Memory Computing Market By component
13.5.1.9.2 Saudi Arabia In-Memory Computing Market By Deployment
13.5.1.9.3 Saudi Arabia In-Memory Computing Market By Enterprise Size
13.5.1.9.4 Saudi Arabia In-Memory Computing Market By Application
13.5.1.9.5 Saudi Arabia In-Memory Computing Market By Vertical
13.5.1.10 Qatar
13.5.1.10.1 Qatar In-Memory Computing Market By component
13.5.1.10.2 Qatar In-Memory Computing Market By Deployment
13.5.1.10.3 Qatar In-Memory Computing Market By Enterprise Size
13.5.1.10.4 Qatar In-Memory Computing Market By Application
13.5.1.10.5 Qatar In-Memory Computing Market By Vertical
13.5.1.11 Rest of Middle East
13.5.1.11.1 Rest of Middle East In-Memory Computing Market By component
13.5.1.11.2 Rest of Middle East In-Memory Computing Market By Deployment
13.5.1.11.3 Rest of Middle East In-Memory Computing Market By Enterprise Size
13.5.1.11.4 Rest of Middle East In-Memory Computing Market By Application
13.5.1.11.5 Rest of Middle East In-Memory Computing Market By Vertical
13.5.2 Africa
13.5.2.1 Africa In-Memory Computing Market By Country
13.5.2.2 Africa In-Memory Computing Market By component
13.5.2.3 Africa In-Memory Computing Market By Deployment
13.5.2.4 Africa In-Memory Computing Market By Enterprise Size
13.5.2.5 Africa In-Memory Computing Market By Application
13.5.2.6 Africa In-Memory Computing Market By Vertical
13.5.2.7 Nigeria
13.5.2.7.1 Nigeria In-Memory Computing Market By component
13.5.2.7.2 Nigeria In-Memory Computing Market By Deployment
13.5.2.7.3 Nigeria In-Memory Computing Market By Enterprise Size
13.5.2.7.4 Nigeria In-Memory Computing Market By Application
13.5.2.7.5 Nigeria In-Memory Computing Market By Vertical
13.5.2.8 South Africa
13.5.2.8.1 South Africa In-Memory Computing Market By component
13.5.2.8.2 South Africa In-Memory Computing Market By Deployment
13.5.2.8.3 South Africa In-Memory Computing Market By Enterprise Size
13.5.2.8.4 South Africa In-Memory Computing Market By Application
13.5.2.8.5 South Africa In-Memory Computing Market By Vertical
13.5.2.9 Rest of Africa
13.5.2.9.1 Rest of Africa In-Memory Computing Market By component
13.5.2.9.2 Rest of Africa In-Memory Computing Market By Deployment
13.5.2.9.3 Rest of Africa In-Memory Computing Market By Enterprise Size
13.5.2.9.4 Rest of Africa In-Memory Computing Market By Application
13.5.2.9.5 Rest of Africa In-Memory Computing Market By Vertical
13.6 Latin America
13.6.1 Latin America In-Memory Computing Market By Country
13.6.2 Latin America In-Memory Computing Market By component
13.6.3 Latin America In-Memory Computing Market By Deployment
13.6.4 Latin America In-Memory Computing Market By Enterprise Size
13.6.5 Latin America In-Memory Computing Market By Application
13.6.6 Latin America In-Memory Computing Market By Vertical
13.6.7 Brazil
13.6.7.1 Brazil In-Memory Computing Market By component
13.6.7.2 Brazil In-Memory Computing Market By Deployment
13.6.7.3 Brazil In-Memory Computing Market By Enterprise Size
13.6.7.4 Brazil In-Memory Computing Market By Application
13.6.7.5 Brazil In-Memory Computing Market By Vertical
13.6.8 Argentina
13.6.8.1 Argentina In-Memory Computing Market By component
13.6.8.2 Argentina In-Memory Computing Market By Deployment
13.6.8.3 Argentina In-Memory Computing Market By Enterprise Size
13.6.8.4 Argentina In-Memory Computing Market By Application
13.6.8.5 Argentina In-Memory Computing Market By Vertical
13.6.9 Colombia
13.6.9.1 Colombia In-Memory Computing Market By component
13.6.9.2 Colombia In-Memory Computing Market By Deployment
13.6.9.3 Colombia In-Memory Computing Market By Enterprise Size
13.6.9.4 Colombia In-Memory Computing Market By Application
13.6.9.5 Colombia In-Memory Computing Market By Vertical
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America In-Memory Computing Market By component
13.6.10.2 Rest of Latin America In-Memory Computing Market By Deployment
13.6.10.3 Rest of Latin America In-Memory Computing Market By Enterprise Size
13.6.10.4 Rest of Latin America In-Memory Computing Market By Application
13.6.10.5 Rest of Latin America In-Memory Computing Market By Vertical
14. Company profile
14.1 TIBCO Software Inc.
14.1.1 Company Overview
14.1.2 Financials
14.1.3Product/ Services /Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Microsoft Corporation
14.2.1 Company Overview
14.2.2 Financials
14.2.3Product/ Services /Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 SAP SE
14.3.1 Company Overview
14.3.2 Financials
14.3.3Product/ Services /Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Intel Corporation
14.4.1 Company Overview
14.4.2 Financials
14.4.3Product/Services /Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 Oracle Corporation
14.5.1 Company Overview
14.5.2 Financials
14.5.3Product/ Services /Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Software AG
14.6.1 Company Overview
14.6.2 Financials
14.6.3Product/ Services /Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Fujitsu Limited
14.7.1 Company Overview
14.7.2 Financials
14.7.3Product/ Services /Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Salesforce.com Inc.
14.8.1 Company Overview
14.8.2 Financial
14.8.3Product/ Services /Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 International Business Machines Corporation
14.9.1 Company Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 SAS Institute Inc.
14.10.1 Company Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Company Share Analysis
15.3 Recent Developments
15.3.1 Application News
15.3.2 Company News
15.3.3 Mergers & Acquisitions
16. USE Cases and Best Practices
17. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
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The Queue Management System Market Size was valued at USD 0.54 Billion in 2023 and is expected to reach USD 0.77 Billion by 2032 and grow at a CAGR of 4.12% over the forecast period 2024-2032.
The Capacity Management Market size was valued at $1.30 Billion in 2023 and is expected to reach $6.65 Bn by 2032 and grow at a CAGR of 19.86% by 2024-2032
The Data Center Liquid Cooling Market was valued at USD 2.99 Billion in 2023 and will reach USD 17.28 Billion by 2032, growing at a CAGR of 21.54% by 2032.
Data Storage Market Size was valued at USD 188 Billion in 2023 and is expected to reach USD 773.5 Billion by 2032 and grow at a CAGR of 17.02% over the forecast period 2024-2032.
The Blockchain Market Size was valued at USD 12.04 Billion in 2023 and is expected to reach USD 1236.2 Billion by 2032 and grow at a CAGR of 67.3 % over the forecast period 2024-2032.
The Broadcast Scheduling Software Market Size was valued at USD 1.6 Billion in 2023 and is expected to reach USD 7.84 Billion by 2032, growing at a CAGR of 19.34% over the forecast period 2024-2032.
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