The Enterprise Data Management Market size was valued at USD 101.1 billion in 2023 and is expected to grow to USD 212.1 billion by 2031 and grow at a CAGR of 9.7% over the forecast period of 2024-2031.
The amount of data gathered from numerous activities has expanded, making data analysis more difficult. Data integration solutions are therefore being used by businesses across numerous end-user industries. Artificial intelligence in cognitive media solutions supports real-time analysis, enabling businesses to transform, monitor, and distribute data, comprehend business processes, and bridge the gap between IT & enterprises.
Get more information on Enterprise Data Management Market - Request Sample Report
This enables real-time data synthesis for better decision-making. The data management platform needs the appropriate people to run the company, but finding qualified workers is a huge barrier to its growth. The developer must be conversant with HTML, CSS, and JavaScript in order to execute data platform management. Lack of this fundamental understanding hinders the employment of adequate competence, which lowers corporate production. The market for data platform management faces greater challenges as a result of these significant problems.
Drivers
A key market driver is the growing demand for risk management solutions.
The risk to the organization from data is growing. Data breaches can be avoided with the help of the enterprise solution, which is an efficient risk management tool. Privacy problems are being caused by poor data handling in many businesses. Data handling must be secure. This program enables secure data delivery and storage. With EDM, the flow of data management is exceptional. The decision-making and productivity of businesses can be positively impacted by this data management software. The Enterprise Data Management Market Profit will increase as a result of this significant market driver. Another significant market driver is the growing demand for real-time data. Organizations today are dealing with enormous amounts of unstructured data. For any organization, real-time data creation and compilation are essential. Data that is easily available to businesses can be provided by corporate data management. The availability of data has increased market demand from the financial, information technology, and other sectors. These significant market drivers are anticipated to have a favorable effect on the enterprise data management business.
Restrains
The market is constrained by a lack of resources.
Opportunities
Industries are investing more money in cutting-edge management solutions.
Productivity is rising thanks to advanced enterprise software. Additionally, in the coming years, the use of contract management technology will increase. significant growth prospects will result from significant investments in this technology. These technologies provide several advantages, including increased sales revenue and exceptional customer service. All of these advantages are a great asset for any business. The investment rate will increase as a result of this vast variety of advantages. In the forecast period, investments will be higher in emerging regions with high purchasing power, like North America. It helps to explain why enterprise data management technology is in such high demand. Additionally, this software will include modern features like cloud and AL.
These developments will increase the rate of expansion. These two elements improve the state of the market as a whole. Furthermore, industries have a high demand for data verification. Human error and many mistakes are common when reviewing data. Additionally, the quantity of false information harms businesses' reputations. Industries face a serious problem as a result of income losses. Enterprise data management, however, leaves no space for error. Enterprise Data Management Market Size will increase as a result of these market expansion chances.
Challenges
The enterprise data management market is challenged by a lack of awareness.
COVID-19 has had a severe effect on a number of businesses, including technology, which has caused a sharp decrease in sales of information technology. Global demand for corporate data management significantly decreased as a result of enterprise data management's widespread application in the technology sector.
Enterprise data management sales are directly correlated with demand from end-use sectors including healthcare, banking, financial services, and insurance (BFSI), telecom & IT, retail & consumer goods, media & entertainment, government & defense, and others. However, the COVID-19 pandemic's impact on supply chain disruptions, closed borders, and import-export restrictions significantly reduced the demand for enterprise data management in the Telecom & Information Technology sector.
The establishment of new enterprise data management initiatives has been hampered by the recession in the economy. In order to satisfy their computing and storage needs, many organizations are now forced to think about adopting cloud services more quickly.
The ongoing conflict between Russia and Ukraine has had a significant impact on various industries, including the enterprise data management market. This market is responsible for managing and organizing large amounts of data for businesses, and the war has caused disruptions and changes in the industry. One of the main effects of the war on the enterprise data management market is the increased demand for secure and reliable data storage solutions. With the threat of cyber-attacks and data breaches becoming more prevalent, businesses are looking for ways to protect their sensitive information. This has led to a rise in demand for cloud-based storage solutions and other secure data management systems.
Impact of Recession
The global economy has been hit hard by the recent recession, The recession has had a significant impact on the way businesses manage their data, one of the most significant effects of the recession on the enterprise data management market is the increased focus on cost-cutting measures. Companies are looking for ways to reduce their expenses, and data management is no exception. This has led to a shift towards more cost-effective solutions, such as cloud-based data management systems. Another impact of the recession on the enterprise data management market is the increased demand for data security. With the rise of cyber threats and data breaches, companies are more concerned than ever about the security of their data. This has led to increased investment in data security measures, such as encryption and firewalls. Despite these challenges, the enterprise data management market is still growing. As businesses continue to generate more data, the need for effective data management solutions will only increase. Companies that can provide cost-effective and secure data management solutions will be well-positioned to succeed in this market. the recession has had a significant impact on the enterprise data management market, but it has also created opportunities for companies that can provide cost-effective and secure solutions.
The Enterprise Data Management Market is segmented into five types on the basis of by Deployment, by Component Type, by Enterprise Size, by Function, and by Industry.
By Deployment:
Cloud
On-premise
By Component Type:
Software
Service
By Enterprise Size:
Small & Medium Enterprises (SMEs)
Large Enterprises
By Function:
Data Governance
Data Integration
Data Security
Master Data Management
Others
By Industry:
BFSI
Retail
Healthcare
IT & Telecom
Manufacturing
Government
Others
The industry was dominated by the North American area, which generated high revenue. The growth in the demand for current, correct information as well as the requirement for risk management solutions can be attributed to the expansion of the regional market. A number of businesses in the area, including IBM, Oracle, and Amazon Web Services, among others, place a heavy emphasis on digital transformation and are frequently regarded as early adopters of cutting-edge technology like machine learning, AI, and big data analytics.
The focus on enterprise and cloud data protection solutions and data security would be made possible by this acquisition of Catalogic Software. The region's businesses' ongoing adoption of this cutting-edge technology is encouraging market expansion. Due to the use of big data and the area's developing industrial verticals, the Asia Pacific region is predicted to grow at the quickest CAGR over the forecast period. Demand for EDM solutions is also anticipated to increase as a result of the rising popularity of cloud computing and the ensuing need to boost operational effectiveness in major corporations and SMEs. In order to remotely manage and access enormous volumes of data, some governments in the region are encouraging software businesses to create free and open-source software, which is anticipated to fuel the future demand for EMD solutions.
In the regional analysis study of the regions of North America, Europe, Asia Pacific middle east, and Africa.
Need any ucstomization research/data on Enterprise Data Management Market - Enquiry Now
REGIONAL COVERAGE:
North America
USA
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
The Netherlands
Rest of Europe
Asia-Pacific
Japan
South Korea
China
India
Australia
Rest of Asia-Pacific
The Middle East & Africa
Israel
UAE
South Africa
Rest of the Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
The major players of the market are International Business Machines Corp., Micro Focus, Oracle Corp., Broadcom, SAP SE., Cloudera Inc., Talend, Amazon Web Services, Inc., Teradata, Informatica, MindTree Ltd., and others in the final report.
Hewlett Packard Enterprise said in July 2021 that it had signed a contract to acquire Zerto, a cloud data management and protection company with a USD 374 million market value. With this acquisition, HPE Green Lake is developed, and HPE Storage's shift to a cloud-based, software-defined data services company is sustained.
By December 2020, Mindtree and Databricks, an AI and data company, would have worked together to help customers use cloud-driven data solutions for advanced analytics. The Databricks platform will benefit from this solution when they adopt it throughout the client experience.
Report Attributes | Details |
Market Size in 2023 | US$ 101.1 Bn |
Market Size by 2031 | US$ 212.1 Bn |
CAGR | CAGR of 9.7 % From 2024 to 2031 |
Base Year | 2022 |
Forecast Period | 2024-2031 |
Historical Data | 2020-2022 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • By Deployment (Cloud, On-premise), by Component Type, (Software, Service) • By Enterprise Size (Small & Medium Enterprises (SMEs), Large Enterprises) • By Function (Data Warehouse, Data Governance, Data Integration, Data Security, Master Data Management, Others) • By Industry (BFSI, Retail, Healthcare, IT & Telecom, Manufacturing, Government, Others) |
Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
Company Profiles | International Business Machines Corp., Micro Focus, Oracle Corp., Broadcom, SAP SE., Cloudera Inc., Talend, Amazon Web Services, Inc., Teradata, Informatica, MindTree Ltd., and others |
Key Drivers | • A key market driver is the growing demand for risk management solutions. |
Market Opportunities | • Industries are investing more money in cutting-edge management solutions. |
The market is expected to grow to USD 212.1 billion by the forecast period of 2031.
The CAGR of the Enterprise Data Management Market for the forecast period 2024-2031 is 9.7 %.
The major worldwide key players in the Enterprise Data Management Market are International Business Machines Corp., Micro Focus, Oracle Corp., Broadcom, SAP SE., Cloudera Inc., Talend, Amazon Web Services, Inc., Teradata, Informatica, MindTree Ltd., and others in the final report.
USD 101.1 billion in 2023 is the market share of the Enterprise Data Management Market.
The forecast period for the Enterprise Data Management Market is 2024-2031.
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 COVID-19 Impact Analysis
4.2 Impact of the Russia-Ukraine war
4.3 Impact of Ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Enterprise Data Management Market Segmentation, by Deployment
8.1 Cloud
8.2 On-premise
9. Enterprise Data Management Market Segmentation, by Component Type
9.1 Software
9.2 Service
10. Enterprise Data Management Market Segmentation, by Enterprise Size
10.1 Small & Medium Enterprises (SMEs)
10.2 Large Enterprises
11. Enterprise Data Management Market Segmentation, by Function
11.1 Data Warehouse
11.2 Data Governance
11.3 Data Integration
11.4 Data Security
11.5 Master Data Management
11.6 Others
12. Enterprise Data Management Market Segmentation, by Industry
12.1 BFSI
12.2 Retail
12.3 Healthcare
12.4 IT & Telecom
12.5 Manufacturing
12.6 Government
12.7 Others
13. Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Enterprise Data Management Market by Country
13.2.2North America Enterprise Data Management Market by Deployment
13.2.3 North America Enterprise Data Management Market by Component Type
13.2.4 North America Enterprise Data Management Market by Enterprise Size
13.2.5 North America Enterprise Data Management Market by Function
13.2.6 North America Enterprise Data Management Market by Industry
13.2.7 USA
13.2.7.1 USA Enterprise Data Management Market by Deployment
13.2.7.2 USA Enterprise Data Management Market by Component Type
13.2.7.3 USA Enterprise Data Management Market by Enterprise Size
13.2.7.4 USA Enterprise Data Management Market by Function
13.2.7.5 USA Enterprise Data Management Market by Industry
13.2.8 Canada
13.2.8.1 Canada Enterprise Data Management Market by Deployment
13.2.8.2 Canada Enterprise Data Management Market by Component Type
13.2.8.3 Canada Enterprise Data Management Market by Enterprise Size
13.2.8.4 Canada Enterprise Data Management Market by Function
13.2.8.5 Canada Enterprise Data Management Market by Industry
13.2.9 Mexico
13.2.9.1 Mexico Enterprise Data Management Market by Deployment
13.2.9.2 Mexico Enterprise Data Management Market by Component Type
13.2.9.3 Mexico Enterprise Data Management Market by Enterprise Size
13.2.9.4 Mexico Enterprise Data Management Market by Function
13.2.9.5 Mexico Enterprise Data Management Market by Industry
13.3 Europe
13.3.1 Europe Enterprise Data Management Market by country
13.3.2 Europe Enterprise Data Management Market by Deployment
13.3.3 Europe Enterprise Data Management Market by Component Type
13.3.4 Europe Enterprise Data Management Market by Enterprise Size
13.3.5 Europe Enterprise Data Management Market by Function
13.3.6 Europe Enterprise Data Management Market by Industry
13.3.7 Germany
13.3.7.1 Germany Enterprise Data Management Market by Deployment
13.3.7.2 Germany Enterprise Data Management Market by Component Type
13.3.7.3 Germany Enterprise Data Management Market by Enterprise Size
13.3.7.4 Germany Enterprise Data Management Market by Function
13.3.7.5 Germany Enterprise Data Management Market by Industry
13.3.8 UK
13.3.8.1 UK Enterprise Data Management Market by Deployment
13.3.8.2 UK Enterprise Data Management Market by Component Type
13.3.8.3 UK Enterprise Data Management Market by Enterprise Size
13.3.8.4 UK Enterprise Data Management Market by Function
13.3.8.5 UK Enterprise Data Management Market by Industry
13.3.9 France
13.3.9.1 France Enterprise Data Management Market by Deployment
13.3.9.2 France Enterprise Data Management Market by Component Type
13.3.9.3 France Enterprise Data Management Market by Enterprise Size
13.3.9.4 France Enterprise Data Management Market by Function
13.3.9.5 France Enterprise Data Management Market by Industry
13.3.10 Italy
13.3.10.1 Italy Enterprise Data Management Market by Deployment
13.3.10.2 Italy Enterprise Data Management Market by Component Type
13.3.10.3 Italy Enterprise Data Management Market by Enterprise Size
13.3.10.4 Italy Enterprise Data Management Market by Function
13.3.10.5 Italy Enterprise Data Management Market by Industry
13.3.11 Spain
13.3.11.1 Spain Enterprise Data Management Market by Deployment
13.3.11.2 Spain Enterprise Data Management Market by Component Type
13.3.11.3 Spain Enterprise Data Management Market by Enterprise Size
13.3.11.4 Spain Enterprise Data Management Market by Function
13.3.11.5 Spain Enterprise Data Management Market by Industry
13.3.12 The Netherlands
13.3.12.1 Netherlands Enterprise Data Management Market by Deployment
13.3.12.2 Netherlands Enterprise Data Management Market by Component Type
13.3.12.3 Netherlands Enterprise Data Management Market by Enterprise Size
13.3.12.4 Netherlands Enterprise Data Management Market by Function
13.3.12.5 Netherlands Enterprise Data Management Market by Industry
13.3.13 Rest of Europe
13.3.13.1 Rest of Europe Enterprise Data Management Market by Deployment
13.3.13.2 Rest of Europe Enterprise Data Management Market by Component Type
13.3.13.3 Rest of Europe Enterprise Data Management Market by Enterprise Size
13.3.13.4 Rest of Europe Enterprise Data Management Market by Function
13.3.13.5 Rest of Europe Enterprise Data Management Market by Industry
13.4 Asia-Pacific
13.4.1 Asia Pacific Enterprise Data Management Market by country
13.4.2 Asia Pacific Enterprise Data Management Market by Deployment
13.4.3 Asia Pacific Enterprise Data Management Market by Component Type
13.4.4Asia Pacific Enterprise Data Management Market by Enterprise Size
13.4.5Asia Pacific Enterprise Data Management Market by Function
13.4.6 Asia Pacific Enterprise Data Management Market by Industry
13.4.7 Japan
13.4.7.1 Japan Enterprise Data Management Market by Deployment
13.4.7.2 Japan Enterprise Data Management Market by Component Type
13.4.7.3 Japan Enterprise Data Management Market by Enterprise Size
13.4.7.4 Japan Enterprise Data Management Market by Function
13.4.7.5 Japan Enterprise Data Management Market by Industry
13.4.8South Korea
13.4.8.1 South Korea Enterprise Data Management Market by Deployment
13.4.8.2 South Korea Enterprise Data Management Market by Component Type
13.4.8.3 South Korea Enterprise Data Management Market by Enterprise Size
13.4.8.4 South Korea Enterprise Data Management Market by Function
13.4.8.5 South Korea Enterprise Data Management Market by Industry
13.4.9 China
13.4.9.1 China Enterprise Data Management Market by Deployment
13.4.9.2 China Enterprise Data Management Market by Component Type
13.4.9.3 China Enterprise Data Management Market by Enterprise Size
13.4.9.4 China Enterprise Data Management Market by Function
13.4.9.5 China Enterprise Data Management Market by Industry
13.4.10 India
13.4.10.1 India Enterprise Data Management Market by Deployment
13.4.10.2 India Enterprise Data Management Market by Component Type
13.4.10.3 India Enterprise Data Management Market by Enterprise Size
13.4.10.4 India Enterprise Data Management Market by Function
13.4.10.5 India Enterprise Data Management Market by Industry
13.4.11 Australia
13.4.11.1 Australia Enterprise Data Management Market by Deployment
13.4.11.2 Australia Enterprise Data Management Market by Component Type
13.4.11.3 Australia Enterprise Data Management Market by Enterprise Size
13.4.11.4 Australia Enterprise Data Management Market by Function
13.4.11.5 Australia Enterprise Data Management Market by Industry
13.4.12 Rest of Asia-Pacific
13.4.12.1 APAC Enterprise Data Management Market by Deployment
13.4.12.2 APAC Enterprise Data Management Market by Component Type
13.4.12.3 APAC Enterprise Data Management Market by Enterprise Size
13.4.12.4 APAC Enterprise Data Management Market by Function
13.4.12.5 APAC Enterprise Data Management Market by Industry
13.5 The Middle East & Africa
13.5.1 The Middle East & Africa Enterprise Data Management Market by country
13.5.2 The Middle East & Africa Enterprise Data Management Market by Deployment
13.5.3 The Middle East & Africa Enterprise Data Management Market by Component Type
13.5.4 The Middle East & Africa Enterprise Data Management Market by Enterprise Size
13.5.5 The Middle East & Africa Enterprise Data Management Market by Function
13.5.6 The Middle East & Africa Enterprise Data Management Market by Industry
13.5.7 Israel
13.5.7.1 Israel Enterprise Data Management Market by Deployment
13.5.7.2 Israel Enterprise Data Management Market by Component Type
13.5.7.3 Israel Enterprise Data Management Market by Enterprise Size
13.5.7.4 Israel Enterprise Data Management Market by Function
13.5.7.5 Israel Enterprise Data Management Market by Industry
13.5.8 UAE
13.5.8.1 UAE Enterprise Data Management Market by Deployment
13.5.8.2 UAE Enterprise Data Management Market by Component Type
13.5.8.3 UAE Enterprise Data Management Market by Enterprise Size
13.5.8.4 UAE Enterprise Data Management Market by Function
13.5.8.5 UAE Enterprise Data Management Market by Industry
13.5.9South Africa
13.5.9.1 South Africa Enterprise Data Management Market by Deployment
13.5.9.2 South Africa Enterprise Data Management Market by Component Type
13.5.9.3 South Africa Enterprise Data Management Market by Enterprise Size
13.5.9.4 South Africa Enterprise Data Management Market by Function
13.5.9.5 South Africa Enterprise Data Management Market by Industry
13.5.10 Rest of Middle East & Africa
13.5.10.1 Rest of Middle East & Asia Enterprise Data Management Market by Deployment
13.5.10.2 Rest of Middle East & Asia Enterprise Data Management Market by Component Type
13.5.10.3 Rest of Middle East & Asia Enterprise Data Management Market by Enterprise Size
13.5.10.4 Rest of Middle East & Asia Enterprise Data Management Market by Function
13.5.10.5 Rest of Middle East & Asia Enterprise Data Management Market by Industry
13.6 Latin America
13.6.1 Latin America Enterprise Data Management Market by Country
13.6.2 Latin America Enterprise Data Management Market by Deployment
13.6.3 Latin America Enterprise Data Management Market by Component Type
13.6.4 Latin America Enterprise Data Management Market by Enterprise Size
13.6.5Latin America Enterprise Data Management Market by Function
13.6.6 Latin America Enterprise Data Management Market by Industry
13.6.7 Brazil
13.6.7.1 Brazil Enterprise Data Management Market by Deployment
13.6.7.2 Brazil Africa Enterprise Data Management Market by Component Type
13.6.7.3Brazil Enterprise Data Management Market by Enterprise Size
13.6.7.4 Brazil Enterprise Data Management Market by Function
13.6.7.5 Brazil Enterprise Data Management Market by Industry
13.6.8 Argentina
13.6.8.1 Argentina Enterprise Data Management Market by Deployment
13.6.8.2 Argentina Enterprise Data Management Market by Component Type
13.6.8.3 Argentina Enterprise Data Management Market by Enterprise Size
13.6.8.4 Argentina Enterprise Data Management Market by Function
13.6.8.5 Argentina Enterprise Data Management Market by Industry
13.6.9 Rest of Latin America
13.6.9.1 Rest of Latin America Enterprise Data Management Market by Deployment
13.6.9.2 Rest of Latin America Enterprise Data Management Market by Component Type
13.6.9.3 Rest of Latin America Enterprise Data Management Market by Enterprise Size
13.6.9.4 Rest of Latin America Enterprise Data Management Market by Function
13.6.9.5 Rest of Latin America Enterprise Data Management Market by Industry
14 Company Profile
14.1 International Business Machines Corp.
14.1.1 Market Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Micro Focus.
14.2.1 Market Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Oracle Corp.
14.3.1 Market Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Broadcom.
14.4.1 Market Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 SAP SE
14.5.1 Market Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Cloudera Inc.
14.6.1 Market Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Talend
14.7.1 Market Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Amazon Web Services, Inc.
14.8.1 Market Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Teradata.
14.9.1 Market Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Mindtree Ltd.
14.10.1 Market 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 Market Share Analysis
15.3 Recent Developments
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.
The Contextual Advertising Market Size was USD 171.6 Billion in 2023 and is expected to reach USD 608.3 Bn by 2032, growing at a CAGR of 15.1% by 2024-2032.
The Endpoint Security Market Size was USD 17.7 billion in 2023 and is expected to reach USD 32.9 billion by 2032 and grow at a CAGR of 7.1% by 2024-2032.
The Artificial Intelligence Market size was valued at USD 285.7 billion in 2023 and is expected to reach USD 3324.4 billion by 2032 and grow at a CAGR of 30.94% over the forecast period of 2024-2032.
The BYOD Security Market Size was valued at USD 6.81 Billion in 2023 and is expected to reach USD 81.71 Billion by 2031 and grow at a CAGR of 36.42% over the forecast period 2024-2031.
Data Center Networking Market was worth USD 27.37 billion in 2023 and is predicted to be worth USD 76.87 billion by 2032, growing at a CAGR of 12.19% between 2024 and 2032.
Neuromorphic Computing market size was valued at USD 86.9 Million in 2023. It is expected to Reach USD 9356.4 Million by 2032 and grow at a CAGR of 68.27% over the forecast period of 2024-2032.
Hi! Click one of our member below to chat on Phone