The insight engines tools segment is expected to dominate the market from 2018 to 2023, with a larger market share than the services segment, as insight engines are cognitive-enabled platforms with the capabilities of Natural Language Processing (NLP), Machine Learning (ML), custom annotation, and relevance training. As the volume of data generated and collected by enterprises increased, organizations started using insight engine platforms to consider their enterprise data holistically, and improve their business processes. Insight engine works as a bridge between machine data and users, and enables communication in a user-friendly language by converting the machine language into human-friendly language. Furthermore, due to future saturation in the tools segment in developed economies, and variation in global government customer protection norms and regulations, the demand for professional services segment is expected to gain traction in the next 5 years.
Key Players:
IBM (US), Microsoft (US), Oracle (US), Coveo (Canada), Sinequa (France), Celonis (Germany), Funnelback (Australia), IntraFind (Germany), Lucidworks (US), Insight Engines (US), Mindbreeze (Austria), Squirro (Switzerland), HPE (US), Expert System (Italy), Dassault Systtèmes (France), Veritone (US), Smartlogic (US), BA Insight (US), ForwardLane (US), CognitiveScale (US), Comintelli (Sweden), ActiveViam (UK), Lattice Engines (US), and Prevedere (US).
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The major geographical regions which include, North America, Asia Pacific, Europe, the Middle East & Africa and Latin America are studied. Top manufacturers from all these regions are studied to help give a better picture of the market investment. Production, price, capacity, revenue and many such important data is been discussed with precise data.
This report defines the specifications, applications, classifications of Insight Engines market and explains the industrial chain structure in detail. Recent policies and developments are researched in depth to help enhance this report. A detailed cost structure is examined and prices are coated by labors, raw material supplier and others. An insight about demand supply chain is also mentioned in detail.
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The global Insight Engines market is also presented to the readers as a holistic snapshot of the competitive landscape within the given forecast period. It presents a comparative detailed analysis of the all regional and player segments, offering readers a better knowledge of where areas in which they can place their existing resources and gauging the priority of a particular region in order to boost their standing in the global Insight Engines market.
Table of Contents:
Global Insight Engines Market Research Report 2018-2022
Chapter 1 Insight Engines Market Overview
Chapter 2 Global Economic Impact
Chapter 3 Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region (2018-2022)
Chapter 5 Supply (Production), Consumption, Export, Import by Regions (2018-2022)
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Market Forecast (2018-2022)
Chapter 13 Appendix
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