The Insight Engines Market size was USD 1.4 billion in 2022 and is expected to Reach USD 9.5 billion by 2030 and grow at a CAGR of 27.2 % over the forecast period of 2023-2030.
A more comprehensive enterprise search and analytics market is referred to as the insight engines market. Insight engines are specialist software programs that give businesses the ability to find, examine, and extract useful insights from their data. These search engines use search, natural language processing, machine learning, and artificial intelligence (AI) technologies to give consumers pertinent and insightful facts, patterns, and insights from a variety of data sources, including structured and unstructured data. Insight engines' primary characteristics and elements include Insight engines provide sophisticated search features that let users ask questions of their data in natural language and get pertinent answers. Google Search is the most popular search engine in the world, and it uses insight engines to power its search results. Google Search can help businesses to find information about their customers, competitors, and industry trends. And SAP Analytics Cloud is a suite of cloud-based analytics tools that use insight engines to help businesses make better decisions. SAP Analytics Cloud can be used by businesses to analyze data from a variety of sources, including ERP systems, CRM systems, and social media. Users can have a conversational exchange of queries and insights thanks to NLP technology, which enables insight engines to comprehend and interpret human language. Various data sources can be integrated with insight engines, Users are able to access and evaluate data from various sources in a unified way because to, databases, and applications. Enterprise-wide Customer service, sales, marketing, and operational analytics are just a few of the use cases for which insights engines can be employed across departments and sectors. In order to improve standard enterprise search and make it more intelligent and responsive, cognitive search refers to the combination of AI, NLP, and machine learning. Some insight engines were created specifically to answer the needs of particular industries, like healthcare, banking, and e-commerce.
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KEY DRIVERS
Advances in artificial intelligence and machine learning
Increased demand for data-driven decision making
Growing need for compliance
Advances in artificial intelligence and machine learning are making it possible to develop more powerful and accurate insight engines. This is opening up new opportunities for insight engines in a variety of areas, such as fraud detection, customer churn prediction, and product recommendations.
RESTRAIN
High cost of implementation
The quality of data is essential for the accuracy of insight engines. Especially in data especially in large and complex organizations.
Insight engines can be expensive to implement and maintain. This can be a barrier to adoption for some businesses, especially small and medium-sized businesses.
OPPORTUNITY
Growth of the cloud computing market
Insight engines are being developed for new use cases in a variety of industries. This is creating new opportunities for growth in the insight engines market.
The growth of the cloud computing market is creating new opportunities for insight engines. Cloud-based insight engines are more scalable and affordable than on-premises solutions, making them a more attractive option for businesses of all sizes.
CHALLENGES
Bias in algorithms poses a Challenges in Insight engines
There is a lack of standardization in the insight engines market. This can make it difficult for businesses to compare different products and services.
Insight engines are trained on data that is collected from the real world. This data can be biased, which can lead to biased results from insight engines. Businesses need to be aware of this bias and take steps to mitigate it.
The market for insight engines has seen a range of effects from the Russian-Ukraine conflict. On the one hand, the conflict has raised the need for insight engines from businesses that want to better comprehend the security picture and recognize and address dangers. However, the fight has also raised the costs for insight engine providers, which can temporarily reduce demand. This is due to the fact that the fight has produced a brand-new, complex threat environment, and companies must have the capacity to rapidly and readily gather, analyze, and comprehend sizable volumes of data in order to stay one step ahead of the threat actors. The article contains a few of the most significant declarations made during the Russian-Ukrainian war. motor market Microsoft just announced a new $10 million gift to aid humanitarian efforts in Ukraine. The money will be used to give conflict victims access to food, water, shelter, and medical supplies. Microsoft recently said that it is giving Ukrainian enterprises complimentary Azure Sentinel licenses. IBM unveiled a fresh program to aid Ukrainian companies in their post-conflict recovery. Through this program, firms in Ukraine will have access to IBM's consulting and cloud computing capabilities. Additionally, IBM declared that it will provide $1 million to aid humanitarian efforts in Ukraine.
IMPACT OF ONGOING RECESSION
It is anticipated that the market for insight engines will suffer as a result of the current recession. As corporations reduce their expenditures on emerging technology, the industry is anticipated to slow considerably. Due to this, insight engine companies will see lower sales and earnings. Microsoft, a big competitor in the market for insight engines, is likewise likely to experience a drop in revenue from its business clients. Microsoft's cloud computing unit generated lower first-quarter 2023 revenue than the same period last year by 17%. The development of new Insight Engines products could be delayed as a result of the recession. By reducing expenses and concentrating on their core goods and services, in sight engine businesses should be ready for the recession. Moreover, they ought to look for ways to differentiate themselves from their competitors and offer value-added services that businesses will be willing to pay for even in a recessionary environment.
By Offerings
Solutions
Services
By Application
Search
Discovery
Risk Management
Knowledge Management
By Enterprise Size
Large Enterprise
Small and Medium Size Enterprise
By Technology
Machine Learning
Natural Language Process
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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 has historically been a key Dominant market for technology innovation, including artificial intelligence, machine learning, and advanced analytics. North American region is the Primary Adopter of Insight Engines technology is the major revenue-generating region in the global Insight Engines market in North America likely reflects this trend, with a significant presence of vendors offering these solutions to various industries. The market for insight engines in North America is competitive, with a mix of established players and innovative start-ups offering solutions tailored to different industry needs.
Asia-Pacific is the region with the greatest expected CAGR during the forecast period. This market is expected to grow quickly as a result of businesses in China, Japan, India, and South Korea using insight engines more frequently, as well as the region's growing number of insight engines solution and service providers and the growing use of machine and deep learning technologies to retrieve data and generate insights for improving customer services. Additionally, the increasing importance of AI technologies for data and predictive insights for enterprises would increase the favourable chances for the market expansion of insight engines.
The major players in the Insight Engines Market are Google LLC, SAP SE, Open Text Corporation, Celonis SE, Upland Software, Inc., Progress Software Corporation, and other players.
Microsoft: In April 20, 2023, Microsoft announced the acquisition of ALTR, a leading provider of insight engines for security and compliance. ALTR's technology will be integrated with Microsoft's existing security and compliance offerings, such as Azure Sentinel and Microsoft 365 Defender. This will give Microsoft customers a more comprehensive view of their security posture and help them to identify and respond to threats more quickly.
IBM: In May 10, 2023, IBM announced the launch of its new insight engine, IBM Watson Knowledge Studio. IBM Watson Knowledge Studio is a platform that helps organizations build and deploy insight engines. The platform provides a drag-and-drop interface that makes it easy to create and manage insight engines, and it offers a variety of pre-trained models that can be used to quickly get started.
| Report Attributes | Details |
| Market Size in 2022 | US$ 1.4 Bn |
| Market Size by 2030 | US$ 9.5 Bn |
| CAGR | CAGR of 27.2% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offerings (Solutions, Services) • By Application (Search, Discovery, Risk Management, Knowledge Management) • By Enterprise Size (Large Enterprise, Small and Medium Size Enterprise) • By Technology (Machine Learning, Natural Language Process) |
| 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 | Google LLC, SAP SE, Open Text Corporation, Celonis SE, Upland Software, Inc., Progress Software Corporation |
| Key Drivers | • Advances in artificial intelligence and machine learning • Increased demand for data-driven decision making • Growing need for compliance |
| Market Restraints | • High cost of implementation • The quality of data is essential for the accuracy of insight engines. Especially in data especially in large and complex organizations. |
Ans. The Compound Annual Growth rate for Insight Engines Market over the forecast period is 27.2 %.
Ans. USD 9.5 Billion is the Company's projected Insight Engines Market size by 2030.
Ans. Insight engines are an improvement over traditional search technologies that provide proactive and on-demand knowledge discovery and exploration augmented by semantic and machine learning technologies.
Ans. The services segment is projected to register the highest CAGR during the forecast period due to the increasing demand for consulting & training services, the growing need for insight engine deployment & integration services, increasing demand for support & maintenance services, technical support and up-gradation of insight engine solutions, and growing emphasis by companies to provide custom consulting services.
Ans. The Insight Engines market is moderately fragmented due to the significant presence of players such as IBM Corporation, Mind breeze GmbH, LucidWorks Inc., and Sinequa SAS Other key market players include Microsoft, Amazon Web Services, Coveo Solutions, and Squirro.
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. Insight Engines Market Segmentation, by Offerings
8.1 Solutions
8.2 Services
9. Insight Engines Market Segmentation, by Application
9.1 Search
9.2 Discovery
9.3 Risk Management
9.4 Knowledge Management
10. Insight Engines Market Segmentation, by Enterprise Size
10.1 Large Enterprise
10.2 Small and Medium Size Enterprise
11. Insight Engines Market Segmentation, by Technology
11.1 Machine Learning
11.2 Natural Language Process
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Insight Engines Market by Country
12.2.2North America Insight Engines Market by Offerings
12.2.3 North America Insight Engines Market by Application
12.2.4 North America Insight Engines Market by Enterprise Size
12.2.5 North America Insight Engines Market by Technology
12.2.6 USA
12.2.6.1 USA Insight Engines Market by Offerings
12.2.6.2 USA Insight Engines Market by Application
12.2.6.3 USA Insight Engines Market by Enterprise Size
12.2.6.4 USA Insight Engines Market by Technology
12.2.7 Canada
12.2.7.1 Canada Insight Engines Market by Offerings
12.2.7.2 Canada Insight Engines Market by Application
12.2.7.3 Canada Insight Engines Market by Enterprise Size
12.2.7.4 Canada Insight Engines Market by Technology
12.2.8 Mexico
12.2.8.1 Mexico Insight Engines Market by Offerings
12.2.8.2 Mexico Insight Engines Market by Application
12.2.8.3 Mexico Insight Engines Market by Enterprise Size
12.2.8.4 Mexico Insight Engines Market by Technology
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Insight Engines Market by Country
12.3.1.2 Eastern Europe Insight Engines Market by Offerings
12.3.1.3 Eastern Europe Insight Engines Market by Application
12.3.1.4 Eastern Europe Insight Engines Market by Enterprise Size
12.3.1.5 Eastern Europe Insight Engines Market by Technology
12.3.1.6 Poland
12.3.1.6.1 Poland Insight Engines Market by Offerings
12.3.1.6.2 Poland Insight Engines Market by Application
12.3.1.6.3 Poland Insight Engines Market by Enterprise Size
12.3.1.6.4 Poland Insight Engines Market by Technology
12.3.1.7 Romania
12.3.1.7.1 Romania Insight Engines Market by Offerings
12.3.1.7.2 Romania Insight Engines Market by Application
12.3.1.7.3 Romania Insight Engines Market by Enterprise Size
12.3.1.7.4 Romania Insight Engines Market by Technology
12.3.1.8 Hungary
12.3.1.8.1 Hungary Insight Engines Market by Offerings
12.3.1.8.2 Hungary Insight Engines Market by Application
12.3.1.8.3 Hungary Insight Engines Market by Enterprise Size
12.3.1.8.4 Hungary Insight Engines Market by Technology
12.3.1.9 Turkey
12.3.1.9.1 Turkey Insight Engines Market by Offerings
12.3.1.9.2 Turkey Insight Engines Market by Application
12.3.1.9.3 Turkey Insight Engines Market by Enterprise Size
12.3.1.9.4 Turkey Insight Engines Market by Technology
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Insight Engines Market by Offerings
12.3.1.10.2 Rest of Eastern Europe Insight Engines Market by Application
12.3.1.10.3 Rest of Eastern Europe Insight Engines Market by Enterprise Size
12.3.1.10.4 Rest of Eastern Europe Insight Engines Market by Technology
12.3.2 Western Europe
12.3.2.1 Western Europe Insight Engines Market by Country
12.3.2.2 Western Europe Insight Engines Market by Offerings
12.3.2.3 Western Europe Insight Engines Market by Application
12.3.2.4 Western Europe Insight Engines Market by Enterprise Size
12.3.2.5 Western Europe Insight Engines Market by Technology
12.3.2.6 Germany
12.3.2.6.1 Germany Insight Engines Market by Offerings
12.3.2.6.2 Germany Insight Engines Market by Application
12.3.2.6.3 Germany Insight Engines Market by Enterprise Size
12.3.2.6.4 Germany Insight Engines Market by Technology
12.3.2.7 France
12.3.2.7.1 France Insight Engines Market by Offerings
12.3.2.7.2 France Insight Engines Market by Application
12.3.2.7.3 France Insight Engines Market by Enterprise Size
12.3.2.7.4 France Insight Engines Market by Technology
12.3.2.8 UK
12.3.2.8.1 UK Insight Engines Market by Offerings
12.3.2.8.2 UK Insight Engines Market by Application
12.3.2.8.3 UK Insight Engines Market by Enterprise Size
12.3.2.8.4 UK Insight Engines Market by Technology
12.3.2.9 Italy
12.3.2.9.1 Italy Insight Engines Market by Offerings
12.3.2.9.2 Italy Insight Engines Market by Application
12.3.2.9.3 Italy Insight Engines Market by Enterprise Size
12.3.2.9.4 Italy Insight Engines Market by Technology
12.3.2.10 Spain
12.3.2.10.1 Spain Insight Engines Market by Offerings
12.3.2.10.2 Spain Insight Engines Market by Application
12.3.2.10.3 Spain Insight Engines Market by Enterprise Size
12.3.2.10.4 Spain Insight Engines Market by Technology
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Insight Engines Market by Offerings
12.3.2.11.2 Netherlands Insight Engines Market by Application
12.3.2.11.3 Netherlands Insight Engines Market by Enterprise Size
12.3.2.11.4 Netherlands Insight Engines Market by Technology
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Insight Engines Market by Offerings
12.3.2.12.2 Switzerland Insight Engines Market by Application
12.3.2.12.3 Switzerland Insight Engines Market by Enterprise Size
12.3.2.12.4 Switzerland Insight Engines Market by Technology
12.3.2.13 Austria
12.3.2.13.1 Austria Insight Engines Market by Offerings
12.3.2.13.2 Austria Insight Engines Market by Application
12.3.2.13.3 Austria Insight Engines Market by Enterprise Size
12.3.2.13.4 Austria Insight Engines Market by Technology
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Insight Engines Market by Offerings
12.3.2.14.2 Rest of Western Europe Insight Engines Market by Application
12.3.2.14.3 Rest of Western Europe Insight Engines Market by Enterprise Size
12.3.2.14.4 Rest of Western Europe Insight Engines Market by Technology
12.4 Asia-Pacific
12.4.1 Asia Pacific Insight Engines Market by Country
12.4.2 Asia Pacific Insight Engines Market by Offerings
12.4.3 Asia Pacific Insight Engines Market by Application
12.4.4 Asia Pacific Insight Engines Market by Enterprise Size
12.4.5 Asia Pacific Insight Engines Market by Technology
12.4.6 China
12.4.6.1 China Insight Engines Market by Offerings
12.4.6.2 China Insight Engines Market by Application
12.4.6.3 China Insight Engines Market by Enterprise Size
12.4.6.4 China Insight Engines Market by Technology
12.4.7 India
12.4.7.1 India Insight Engines Market by Offerings
12.4.7.2 India Insight Engines Market by Application
12.4.7.3 India Insight Engines Market by Enterprise Size
12.4.7.4 India Insight Engines Market by Technology
12.4.8 Japan
12.4.8.1 Japan Insight Engines Market by Offerings
12.4.8.2 Japan Insight Engines Market by Application
12.4.8.3 Japan Insight Engines Market by Enterprise Size
12.4.8.4 Japan Insight Engines Market by Technology
12.4.9 South Korea
12.4.9.1 South Korea Insight Engines Market by Offerings
12.4.9.2 South Korea Insight Engines Market by Application
12.4.9.3 South Korea Insight Engines Market by Enterprise Size
12.4.9.4 South Korea Insight Engines Market by Technology
12.4.10 Vietnam
12.4.10.1 Vietnam Insight Engines Market by Offerings
12.4.10.2 Vietnam Insight Engines Market by Application
12.4.10.3 Vietnam Insight Engines Market by Enterprise Size
12.4.10.4 Vietnam Insight Engines Market by Technology
12.4.11 Singapore
12.4.11.1 Singapore Insight Engines Market by Offerings
12.4.11.2 Singapore Insight Engines Market by Application
12.4.11.3 Singapore Insight Engines Market by Enterprise Size
12.4.11.4 Singapore Insight Engines Market by Technology
12.4.12 Australia
12.4.12.1 Australia Insight Engines Market by Offerings
12.4.12.2 Australia Insight Engines Market by Application
12.4.12.3 Australia Insight Engines Market by Enterprise Size
12.4.12.4 Australia Insight Engines Market by Technology
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Insight Engines Market by Offerings
12.4.13.2 Rest of Asia-Pacific APAC Insight Engines Market by Application
12.4.13.3 Rest of Asia-Pacific Insight Engines Market by Enterprise Size
12.4.13.4 Rest of Asia-Pacific Insight Engines Market by Technology
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Insight Engines Market by Country
12.5.1.2 Middle East Insight Engines Market by Offerings
12.5.1.3 Middle East Insight Engines Market by Application
12.5.1.4 Middle East Insight Engines Market by Enterprise Size
12.5.1.5 Middle East Insight Engines Market by Technology
12.5.1.6 UAE
12.5.1.6.1 UAE Insight Engines Market by Offerings
12.5.1.6.2 UAE Insight Engines Market by Application
12.5.1.6.3 UAE Insight Engines Market by Enterprise Size
12.5.1.6.4 UAE Insight Engines Market by Technology
12.5.1.7 Egypt
12.5.1.7.1 Egypt Insight Engines Market by Offerings
12.5.1.7.2 Egypt Insight Engines Market by Application
12.5.1.7.3 Egypt Insight Engines Market by Enterprise Size
12.5.1.7.4 Egypt Insight Engines Market by Technology
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Insight Engines Market by Offerings
12.5.1.8.2 Saudi Arabia Insight Engines Market by Application
12.5.1.8.3 Saudi Arabia Insight Engines Market by Enterprise Size
12.5.1.8.4 Saudi Arabia Insight Engines Market by Technology
12.5.1.9 Qatar
12.5.1.9.1 Qatar Insight Engines Market by Offerings
12.5.1.9.2 Qatar Insight Engines Market by Application
12.5.1.9.3 Qatar Insight Engines Market by Enterprise Size
12.5.1.9.4 Qatar Insight Engines Market by Technology
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Insight Engines Market by Offerings
12.5.1.10.2 Rest of Middle East Insight Engines Market by Application
12.5.1.10.3 Rest of Middle East Insight Engines Market by Enterprise Size
12.5.1.10.4 Rest of Middle East Insight Engines Market by Technology
12.5.2. Africa
12.5.2.1 Africa Insight Engines Market by Country
12.5.2.2 Africa Insight Engines Market by Offerings
12.5.2.3 Africa Insight Engines Market by Application
12.5.2.4 Africa Insight Engines Market by Enterprise Size
12.5.2.5 Africa Insight Engines Market by Technology
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Insight Engines Market by Offerings
12.5.2.6.2 Nigeria Insight Engines Market by Application
12.5.2.6.3 Nigeria Insight Engines Market by Enterprise Size
12.5.2.6.4 Nigeria Insight Engines Market by Technology
12.5.2.7 South Africa
12.5.2.7.1 South Africa Insight Engines Market by Offerings
12.5.2.7.2 South Africa Insight Engines Market by Application
12.5.2.7.3 South Africa Insight Engines Market by Enterprise Size
12.5.2.7.4 South Africa Insight Engines Market by Technology
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Insight Engines Market by Offerings
12.5.2.8.2 Rest of Africa Insight Engines Market by Application
12.5.2.8.3 Rest of Africa Insight Engines Market by Enterprise Size
12.5.2.8.4 Rest of Africa Insight Engines Market by Technology
12.6. Latin America
12.6.1 Latin America Insight Engines Market by Country
12.6.2 Latin America Insight Engines Market by Offerings
12.6.3 Latin America Insight Engines Market by Application
12.6.4 Latin America Insight Engines Market by Enterprise Size
12.6.5 Latin America Insight Engines Market by Technology
12.6.6 Brazil
12.6.6.1 Brazil Insight Engines Market by Offerings
12.6.6.2 Brazil Africa Insight Engines Market by Application
12.6.6.3 Brazil Insight Engines Market by Enterprise Size
12.6.6.4 Brazil Insight Engines Market by Technology
12.6.7 Argentina
12.6.7.1 Argentina Insight Engines Market by Offerings
12.6.7.2 Argentina Insight Engines Market by Application
12.6.7.3 Argentina Insight Engines Market by Enterprise Size
12.6.7.4 Argentina Insight Engines Market by Technology
12.6.8 Colombia
12.6.8.1 Colombia Insight Engines Market by Offerings
12.6.8.2 Colombia Insight Engines Market by Application
12.6.8.3 Colombia Insight Engines Market by Enterprise Size
12.6.8.4 Colombia Insight Engines Market by Technology
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Insight Engines Market by Offerings
12.6.9.2 Rest of Latin America Insight Engines Market by Application
12.6.9.3 Rest of Latin America Insight Engines Market by Enterprise Size
12.6.9.4 Rest of Latin America Insight Engines Market by Technology
13 Company Profile
13.1 Google LLC
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 SAP SE
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 Open Text Corporation
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 Celonis SE
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 Upland Software, Inc.
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 Progress Software Corporation
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 Lucidworks, Inc.
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 ServiceNow, 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 Forwardlane, Inc.
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 SearchBlox Software, Inc.
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Company Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions
14. USE Cases and Best Practices
15. 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.
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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 Media Asset Management Market size was valued at USD 1.59 billion in 2022 and is expected to grow to USD 4.44 billion by 2030 and grow at a CAGR of 13.7 % over the forecast period of 2023-2030.
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The Cyber Insurance Market size was valued at USD 11.12 Bn in 2022 and is expected to reach USD 55.97 Bn by 2030, and grow at a CAGR of 22.38% over the forecast period 2023-2030.
The DataOps Platforms Market size was USD 3.1 billion in 2022 and is expected to Reach USD 16.3 billion by 2030 and grow at a CAGR of 23.1% over the forecast period of 2023-2030.
The Business Email Compromise (BEC) Market size was valued at USD 1.23 billion in 2022 and is projected to reach USD 4.89 billion in 2030 with a growing CAGR of 18.86% Over the Forecast Period of 2023-2030.
The Captive Portal Market size was USD 0.12 billion in 2023 and is expected to Reach USD 0.32 billion by 2031 and grow at a CAGR of 13.2% over the forecast period of 2024-2031
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