Key Insight Engine market participants include Attivio, Celonis, Coveco Solutions, Inc., Micro Focus International, Elastic, Fosfor, Mindbreeze, Sinequa SAS, Funnelback Pty Ltd, Google LLC, IBM, IntraFind, LucidWorks, Inc., Microsoft, Squirro, and Stravito AB.
Selbyville, Delaware, May 29, 2023 (Globe Newswire) —
According to a report, Insight Engine’s market valuation is expected to reach US$11 billion by 2032. Research study by Global Market Insights Inc.
Advancements in AI and machine learning technologies are likely to drive the influx of more sophisticated insight engines, increasing market demand. These technologies not only help organizations analyze large amounts of data quickly and accurately, but also provide valuable insight into business decisions. These days, there is a growing demand for search technology to provide personalized results in response to specific user needs. The growing popularity of personalized search experiences further strengthens the industry prospects.
The insight engine market in the on-premises segment is expected to register a CAGR of over 20% from 2023 to 2032. This growth can be attributed to the robust capabilities of the on-premises insight engine, which offers customization and greater flexibility when compared to cloud-based. solution. The growing tendency of various organizations to manage on-premises data for compliance and security reasons will also play an important role in the market expansion.
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The insight engine market in the IT telecom end-use space is estimated to exceed US$2.5 billion by 2032 due to the growing volume and complexity of data generated by multiple companies worldwide. The large amount of data generated by IT companies from a variety of sources, such as network logs, social media system events, and customer interactions, must be analyzed quickly. As such, the increasing adoption of insight engines will further increase the demand in the industry.
The Asia-Pacific insight engine market is expected to be worth USD 3 billion by 2032. This is likely due to the increasing adoption of various technologies in countries such as China and India. APAC’s manufacturing industry is expanding rapidly, with a focus on improving product quality. Increasing focus by different countries on the use of deployment technologies to extract insights from various forms of data will also drive the growth of the regional market.
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Prominent participants operating across the insight engine market include Attivio, Celonis, Coveco Solutions, Inc., Micro Focus International, Elastic, Fosfor, Mindbreeze, Sinequa SAS, Funnelback Pty Ltd, Google LLC, IBM, IntraFind, LucidWorks, Inc., Microsoft, Squirro, Stravito AB. These industry associations focus on partnerships and acquisitions to expand their global presence. For example, in February 2022 Mindbreeze will partner with BLUE Consult GmbH to develop the InSpire solution to help other organizations efficiently deploy information and gain a competitive advantage. Did.
A partial chapter of the table of contents (TOC) of the report:
Chapter 2 Abstract
2.1 360-Degree Overview of Insight Engine Market, 2018-2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM)
2.3 Regional trends
2.4 Component trends
2.5 Deployment Type Trends
2.6 Trends in company size
2.7 End-use trends
2.8 Application trends
Chapter 3 Insight Engine Market Insights
3.1 Impact on COVID-19
3.2 Effects of the Russo-Ukrainian War
3.3 Industry ecosystem analysis
3.4 Vendor Matrix
3.5 Profit Margin Analysis
3.6 Technology and innovation landscape
3.7 Patent Analysis
3.8 Major news and initiatives
3.9 Regulatory landscape
3.10 Impact force
3.10.1 Drivers of growth
3.10.1.1 Increase in data volume and need for structured data
3.10.1.2 Advances in artificial intelligence and machine learning
3.10.1.3 Growing Importance of Knowledge Management in Organizations
3.10.1.4 Need for Predictive Analytics to Enable Proactive Decision Making
3.10.2 Industry pitfalls and challenges
3.10.2.1 Concerns about data quality and validation of its sources
3.10.2.2 Privacy and security concerns and high costs
3.11 Growth Potential Analysis
3.12 Porter’s analysis
3.13 Pestel Analysis
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