REPORT SCOPE & OVERVIEW
The In-Memory Computing Market size was USD 15.2 billion in 2022 and is expected to Reach USD 52.6 billion by 2030 and grow at a CAGR of 16.8 % over the forecast period of 2023-2030
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.
MARKET DYNAMICS
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.
IMPACT OF RUSSIAN UKRAINE WAR
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.
KEY MARKET SEGMENTS
By Component
Solution
Services
By Deployment
On-Premises
Cloud
By Enterprise Size
Large Enterprise
Small and Medium Size Enterprise
By Application
Risk Management
Fraud Detection
Sentiment Analysis
Sales Marketing Optimization
Predictive Analysis
Supply Chain Management
Others
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Region Coverage:
North America
USA
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 the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSIS
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.
KEY PLAYERS
The major key players in the In-Memory Computing Market 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.
RECENT DEVELOPMENTS
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 (Solution, Services) • By Deployment (On-Premises, Cloud) • By Enterprise Size (Large Enterprises, Small Medium Enterprises) • By Application (Risk Management, Fraud Detection, Sentiment Analysis, Sales Marketing Optimization, Predictive Analysis, Supply Chain Management, 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 Compound Annual Growth rate for In-Memory Computing Market over the forecast period is 16.8 %.
Ans. USD 52.6 Billion is the Company's projected In-Memory Computing Market size 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 CONTENT
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 Solution
8.2 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 Fraud Detection
11.3 Sentiment Analysis
11.4 Sales Marketing Optimization
11.5 Predictive Analysis
11.6 Supply Chain Management
11.7 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America In-Memory Computing Market by Country
12.2.2 North America In-Memory Computing Market by Component
12.2.3 North America In-Memory Computing Market by Deployment
12.2.4 North America In-Memory Computing Market by Enterprise Size
12.2.5 North America In-Memory Computing Market by Application
12.2.6 USA
12.2.6.1 USA In-Memory Computing Market by Component
12.2.6.2 USA In-Memory Computing Market by Deployment
12.2.6.3 USA In-Memory Computing Market by Enterprise Size
12.2.6.4 USA In-Memory Computing Market by Application
12.2.7 Canada
12.2.7.1 Canada In-Memory Computing Market by Component
12.2.7.2 Canada In-Memory Computing Market by Deployment
12.2.7.3 Canada In-Memory Computing Market by Enterprise Size
12.2.7.4 Canada In-Memory Computing Market by Application
12.2.8 Mexico
12.2.8.1 Mexico In-Memory Computing Market by Component
12.2.8.2 Mexico In-Memory Computing Market by Deployment
12.2.8.3 Mexico In-Memory Computing Market by Enterprise Size
12.2.8.4 Mexico In-Memory Computing Market by Application
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe In-Memory Computing Market by Country
12.3.1.2 Eastern Europe In-Memory Computing Market by Component
12.3.1.3 Eastern Europe In-Memory Computing Market by Deployment
12.3.1.4 Eastern Europe In-Memory Computing Market by Enterprise Size
12.3.1.5 Eastern Europe In-Memory Computing Market by Application
12.3.1.6 Poland
12.3.1.6.1 Poland In-Memory Computing Market by Component
12.3.1.6.2 Poland In-Memory Computing Market by Deployment
12.3.1.6.3 Poland In-Memory Computing Market by Enterprise Size
12.3.1.6.4 Poland In-Memory Computing Market by Application
12.3.1.7 Romania
12.3.1.7.1 Romania In-Memory Computing Market by Component
12.3.1.7.2 Romania In-Memory Computing Market by Deployment
12.3.1.7.3 Romania In-Memory Computing Market by Enterprise Size
12.3.1.7.4 Romania In-Memory Computing Market by Application
12.3.1.8 Hungary
12.3.1.8.1 Hungary In-Memory Computing Market by Component
12.3.1.8.2 Hungary In-Memory Computing Market by Deployment
12.3.1.8.3 Hungary In-Memory Computing Market by Enterprise Size
12.3.1.8.4 Hungary In-Memory Computing Market by Application
12.3.1.9 Turkey
12.3.1.9.1 Turkey In-Memory Computing Market by Component
12.3.1.9.2 Turkey In-Memory Computing Market by Deployment
12.3.1.9.3 Turkey In-Memory Computing Market by Enterprise Size
12.3.1.9.4 Turkey In-Memory Computing Market by Application
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe In-Memory Computing Market by Component
12.3.1.10.2 Rest of Eastern Europe In-Memory Computing Market by Deployment
12.3.1.10.3 Rest of Eastern Europe In-Memory Computing Market by Enterprise Size
12.3.1.10.4 Rest of Eastern Europe In-Memory Computing Market by Application
12.3.2 Western Europe
12.3.2.1 Western Europe In-Memory Computing Market by Country
12.3.2.2 Western Europe In-Memory Computing Market by Component
12.3.2.3 Western Europe In-Memory Computing Market by Deployment
12.3.2.4 Western Europe In-Memory Computing Market by Enterprise Size
12.3.2.5 Western Europe In-Memory Computing Market by Application
12.3.2.6 Germany
12.3.2.6.1 Germany In-Memory Computing Market by Component
12.3.2.6.2 Germany In-Memory Computing Market by Deployment
12.3.2.6.3 Germany In-Memory Computing Market by Enterprise Size
12.3.2.6.4 Germany In-Memory Computing Market by Application
12.3.2.7 France
12.3.2.7.1 France In-Memory Computing Market by Component
12.3.2.7.2 France In-Memory Computing Market by Deployment
12.3.2.7.3 France In-Memory Computing Market by Enterprise Size
12.3.2.7.4 France In-Memory Computing Market by Application
12.3.2.8 UK
12.3.2.8.1 UK In-Memory Computing Market by Component
12.3.2.8.2 UK In-Memory Computing Market by Deployment
12.3.2.8.3 UK In-Memory Computing Market by Enterprise Size
12.3.2.8.4 UK In-Memory Computing Market by Application
12.3.2.9 Italy
12.3.2.9.1 Italy In-Memory Computing Market by Component
12.3.2.9.2 Italy In-Memory Computing Market by Deployment
12.3.2.9.3 Italy In-Memory Computing Market by Enterprise Size
12.3.2.9.4 Italy In-Memory Computing Market by Application
12.3.2.10 Spain
12.3.2.10.1 Spain In-Memory Computing Market by Component
12.3.2.10.2 Spain In-Memory Computing Market by Deployment
12.3.2.10.3 Spain In-Memory Computing Market by Enterprise Size
12.3.2.10.4 Spain In-Memory Computing Market by Application
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands In-Memory Computing Market by Component
12.3.2.11.2 Netherlands In-Memory Computing Market by Deployment
12.3.2.11.3 Netherlands In-Memory Computing Market by Enterprise Size
12.3.2.11.4 Netherlands In-Memory Computing Market by Application
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland In-Memory Computing Market by Component
12.3.2.12.2 Switzerland In-Memory Computing Market by Deployment
12.3.2.12.3 Switzerland In-Memory Computing Market by Enterprise Size
12.3.2.12.4 Switzerland In-Memory Computing Market by Application
12.3.2.13 Austria
12.3.2.13.1 Austria In-Memory Computing Market by Component
12.3.2.13.2 Austria In-Memory Computing Market by Deployment
12.3.2.13.3 Austria In-Memory Computing Market by Enterprise Size
12.3.2.13.4 Austria In-Memory Computing Market by Application
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe In-Memory Computing Market by Component
12.3.2.14.2 Rest of Western Europe In-Memory Computing Market by Deployment
12.3.2.14.3 Rest of Western Europe In-Memory Computing Market by Enterprise Size
12.3.2.14.4 Rest of Western Europe In-Memory Computing Market by Application
12.4 Asia-Pacific
12.4.1 Asia Pacific In-Memory Computing Market by Country
12.4.2 Asia Pacific In-Memory Computing Market by Component
12.4.3 Asia Pacific In-Memory Computing Market by Deployment
12.4.4 Asia Pacific In-Memory Computing Market by Enterprise Size
12.4.5 Asia Pacific In-Memory Computing Market by Application
12.4.6 China
12.4.6.1 China In-Memory Computing Market by Component
12.4.6.2 China In-Memory Computing Market by Deployment
12.4.6.3 China In-Memory Computing Market by Enterprise Size
12.4.6.4 China In-Memory Computing Market by Application
12.4.7 India
12.4.7.1 India In-Memory Computing Market by Component
12.4.7.2 India In-Memory Computing Market by Deployment
12.4.7.3 India In-Memory Computing Market by Enterprise Size
12.4.7.4 India In-Memory Computing Market by Application
12.4.8 Japan
12.4.8.1 Japan In-Memory Computing Market by Component
12.4.8.2 Japan In-Memory Computing Market by Deployment
12.4.8.3 Japan In-Memory Computing Market by Enterprise Size
12.4.8.4 Japan In-Memory Computing Market by Application
12.4.9 South Korea
12.4.9.1 South Korea In-Memory Computing Market by Component
12.4.9.2 South Korea In-Memory Computing Market by Deployment
12.4.9.3 South Korea In-Memory Computing Market by Enterprise Size
12.4.9.4 South Korea In-Memory Computing Market by Application
12.4.10 Vietnam
12.4.10.1 Vietnam In-Memory Computing Market by Component
12.4.10.2 Vietnam In-Memory Computing Market by Deployment
12.4.10.3 Vietnam In-Memory Computing Market by Enterprise Size
12.4.10.4 Vietnam In-Memory Computing Market by Application
12.4.11 Singapore
12.4.11.1 Singapore In-Memory Computing Market by Component
12.4.11.2 Singapore In-Memory Computing Market by Deployment
12.4.11.3 Singapore In-Memory Computing Market by Enterprise Size
12.4.11.4 Singapore In-Memory Computing Market by Application
12.4.12 Australia
12.4.12.1 Australia In-Memory Computing Market by Component
12.4.12.2 Australia In-Memory Computing Market by Deployment
12.4.12.3 Australia In-Memory Computing Market by Enterprise Size
12.4.12.4 Australia In-Memory Computing Market by Application
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific In-Memory Computing Market by Component
12.4.13.2 Rest of Asia-Pacific In-Memory Computing Market by Deployment
12.4.13.3 Rest of Asia-Pacific In-Memory Computing Market by Enterprise Size
12.4.13.4 Rest of Asia-Pacific In-Memory Computing Market by Application
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East In-Memory Computing Market by Country
12.5.1.2 Middle East In-Memory Computing Market by Component
12.5.1.3 Middle East In-Memory Computing Market by Deployment
12.5.1.4 Middle East In-Memory Computing Market by Enterprise Size
12.5.1.5 Middle East In-Memory Computing Market by Application
12.5.1.6 UAE
12.5.1.6.1 UAE In-Memory Computing Market by Component
12.5.1.6.2 UAE In-Memory Computing Market by Deployment
12.5.1.6.3 UAE In-Memory Computing Market by Enterprise Size
12.5.1.6.4 UAE In-Memory Computing Market by Application
12.5.1.7 Egypt
12.5.1.7.1 Egypt In-Memory Computing Market by Component
12.5.1.7.2 Egypt In-Memory Computing Market by Deployment
12.5.1.7.3 Egypt In-Memory Computing Market by Enterprise Size
12.5.1.7.4 Egypt In-Memory Computing Market by Application
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia In-Memory Computing Market by Component
12.5.1.8.2 Saudi Arabia In-Memory Computing Market by Deployment
12.5.1.8.3 Saudi Arabia In-Memory Computing Market by Enterprise Size
12.5.1.8.4 Saudi Arabia In-Memory Computing Market by Application
12.5.1.9 Qatar
12.5.1.9.1 Qatar In-Memory Computing Market by Component
12.5.1.9.2 Qatar In-Memory Computing Market by Deployment
12.5.1.9.3 Qatar In-Memory Computing Market by Enterprise Size
12.5.1.9.4 Qatar In-Memory Computing Market by Application
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East In-Memory Computing Market by Component
12.5.1.10.2 Rest of Middle East In-Memory Computing Market by Deployment
12.5.1.10.3 Rest of Middle East In-Memory Computing Market by Enterprise Size
12.5.1.10.4 Rest of Middle East In-Memory Computing Market by Application
12.5.2. Africa
12.5.2.1 Africa In-Memory Computing Market by Country
12.5.2.2 Africa In-Memory Computing Market by Component
12.5.2.3 Africa In-Memory Computing Market by Deployment
12.5.2.4 Africa In-Memory Computing Market by Enterprise Size
12.5.2.5 Africa In-Memory Computing Market by Application
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria In-Memory Computing Market by Component
12.5.2.6.2 Nigeria In-Memory Computing Market by Deployment
12.5.2.6.3 Nigeria In-Memory Computing Market by Enterprise Size
12.5.2.6.4 Nigeria In-Memory Computing Market by Application
12.5.2.7 South Africa
12.5.2.7.1 South Africa In-Memory Computing Market by Component
12.5.2.7.2 South Africa In-Memory Computing Market by Deployment
12.5.2.7.3 South Africa In-Memory Computing Market by Enterprise Size
12.5.2.7.4 South Africa In-Memory Computing Market by Application
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa In-Memory Computing Market by Component
12.5.2.8.2 Rest of Africa In-Memory Computing Market by Deployment
12.5.2.8.3 Rest of Africa In-Memory Computing Market by Enterprise Size
12.5.2.8.4 Rest of Africa In-Memory Computing Market by Application
12.6. Latin America
12.6.1 Latin America In-Memory Computing Market by Country
12.6.2 Latin America In-Memory Computing Market by Component
12.6.3 Latin America In-Memory Computing Market by Deployment
12.6.4 Latin America In-Memory Computing Market by Enterprise Size
12.6.5 Latin America In-Memory Computing Market by Application
12.6.6 Brazil
12.6.6.1 Brazil In-Memory Computing Market by Component
12.6.6.2 Brazil In-Memory Computing Market by Deployment
12.6.6.3 Brazil In-Memory Computing Market by Enterprise Size
12.6.6.4 Brazil In-Memory Computing Market by Application
12.6.7 Argentina
12.6.7.1 Argentina In-Memory Computing Market by Component
12.6.7.2 Argentina In-Memory Computing Market by Deployment
12.6.7.3 Argentina In-Memory Computing Market by Enterprise Size
12.6.7.4 Argentina In-Memory Computing Market by Application
12.6.8 Colombia
12.6.8.1 Colombia In-Memory Computing Market by Component
12.6.8.2 Colombia In-Memory Computing Market by Deployment
12.6.8.3 Colombia In-Memory Computing Market by Enterprise Size
12.6.8.4 Colombia In-Memory Computing Market by Application
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America In-Memory Computing Market by Component
12.6.9.2 Rest of Latin America In-Memory Computing Market by Deployment
12.6.9.3 Rest of Latin America In-Memory Computing Market by Enterprise Size
12.6.9.4 Rest of Latin America In-Memory Computing Market by Application
13 Company profile
13.1 TIBCO Software Inc.
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/ Services /Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Microsoft Corporation
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/ Services /Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 SAP SE
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/ Services /Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Intel Corporation
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services /Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Oracle Corporation
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/ Services /Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Software AG
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/ Services /Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Fujitsu Limited
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/ Services /Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Salesforce.com Inc.
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/ Services /Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 International Business Machines Corporation
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 SAS Institute Inc.
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Application News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
15. USE Cases and Best Practices
16. 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.
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The 5 steps process:
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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
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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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