Report Code: CMI29468

Published Date: August 2023

Pages: 220+

Category: Europe

Report Snapshot

CAGR: 19.2%

Source: CMI

Study Period: 2024-2033
Fastest Growing Market: Europe
Largest Market: Europe

Major Players

  • Microsoft Corporation
  • IBM Corporation
  • Inc.
  • Google LLC
  • Amazon Web Services Inc.
  • Others

Exclusive, in-depth market intelligence can help you increase your Revenue.

Download Sample Pdf

Reports Description

As per the current market research conducted by the CMI Team, the Europe Insight Engine Market is expected to record a CAGR of 19.2% from 2023 to 2032. In 2022, the market size is projected to reach a valuation of USD 358.7 Million. By 2032, the valuation is anticipated to reach USD 1983.1 Million.

The Europe insight engine market focuses on technological solutions that extract valuable insights from vast amounts of data. These engines utilize advanced analytics techniques such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to analyze both structured and unstructured data. Their purpose is to enable organizations to efficiently search, discover, and comprehend data within its context.

Insight engines are instrumental in helping businesses and enterprises make informed decisions, enhance operational efficiency, improve customer experiences, and gain a competitive advantage. By uncovering patterns, correlations, and trends in data, these engines empower users to derive actionable intelligence and discover valuable insights that may have otherwise remained undiscovered.

Europe Insight Engine Market – Significant Growth Factors

The Europe Insight Engine Market presents significant growth opportunities due to several factors:

  • Rising Data Generation: Numerous industries in Europe are producing a vast volume of data sourced from customer interactions, social media, sensors, and IoT devices. The demand for insight engine solutions has surged as organizations seek efficient management and valuable insights from this data.
  • Adoption of Artificial Intelligence (AI) and Machine Learning (ML): The extensive acceptance of AI and ML technologies has significantly contributed to the growth of the insight engine market. These technologies facilitate advanced analytics, natural language processing, and cognitive capabilities, empowering organizations to extract valuable insights from large data volumes.
  • Advancements in Natural Language Processing (NLP): Significant progress has been made in NLP, particularly in understanding and processing human language. These advancements have bolstered the capabilities of insight engines in analyzing unstructured data, extracting relevant information, and delivering precise search results and recommendations.
  • Emergence of Big Data Analytics: The rise of big data analytics has created a demand for powerful tools and technologies to analyze and derive insights from vast and intricate datasets. Insight engines, with their capacity to process and analyze diverse data sources, offer organizations valuable insights and enable data-driven decision-making.
  • Focus on Data-Driven Decision-Making: European organizations increasingly recognize the significance of data-driven decision-making. Insight engines empower organizations to access relevant information and real-time insights, leading to improved decision-making, operational efficiency, and enhanced customer experiences.
  • Regulatory Compliance and Governance: The growing emphasis on data privacy and regulations, such as the General Data Protection Regulation (GDPR) in the European Union, has compelled organizations to implement robust insight engine solutions. These solutions assist organizations in ensuring compliance, securely managing data, and maintaining transparency in data processing.
  • Demand for Real-time Insights: In today’s fast-paced business environment, organizations require immediate insights to remain competitive. Insight engines possess the capability to process and analyze data in real time, delivering prompt and actionable insights that enable organizations to swiftly respond to market changes and customer needs.

Europe Insight Engine Market – Mergers and Acquisitions

The Europe Insight Engine Market has seen several mergers and acquisitions in recent years, with companies seeking to expand their market presence and leverage synergies to improve their product offerings and profitability. Some notable examples of mergers and acquisitions in the rugs market include:

  • Qlik acquisition of Attivio: In February 2019, Attivio announced that it was acquired by Qlik, a data analytics company. The purpose of this acquisition was to bolster Qlik’s cognitive engine capabilities and offer customers enhanced search functionalities and insights within their data analytics platform.
  • Thomson Reuters acquisition of Sinequa: In July 2020, Sinequa, an intelligent search and insight engine provider, received a strategic stake acquisition from Thomson Reuters. The objective of this collaboration was to seamlessly integrate Sinequa’s insight engine technology into Thomson Reuters’ products and solutions, thereby enriching the search experiences and providing customers with relevant insights.
  • Mindbreeze acquisition of Cambridge Semantics: In January 2021, Mindbreeze, a provider of insight engine solutions, announced the acquisition of Cambridge Semantics, a leading provider of semantic graph database technology. This merger aimed to combine Mindbreeze’s AI-powered insight engine with Cambridge Semantics’ graph database capabilities to deliver advanced knowledge discovery and data management solutions.

These mergers and acquisitions have helped companies expand their product offerings, improve their market presence, and capitalize on growth opportunities in the Europe Insight Engine Market. The trend is expected to continue as companies seek to gain a competitive edge in the market.


Europe Insight Engine Market Insight Engine Market Automotive Virtual Engine Sound System Market
CAGR 19.2% (Approx) CAGR 20.9 % (Approx) CAGR 6.7% (Approx)
USD 983.1 Million by 2032 USD 10.61 Billion by 2032 USD 12.1 Billion by 2032

Europe Insight Engine Market – Significant Threats

The Europe Insight Engine Market faces several significant threats that could impact its growth and profitability in the future. Some of these threats include:

  • Data Privacy and Security Considerations: As insight engines process increasingly large and complex datasets, ensuring data privacy and security becomes a crucial concern. Unauthorized access or misuse of sensitive data can lead to reputational damage, legal consequences, and loss of customer trust. Insight engine providers must prioritize robust data protection measures and compliance with privacy regulations to effectively address this concern.
  • Rapid Technological Advancements: The field of AI, ML, and NLP is advancing at a rapid pace, introducing new breakthroughs and disruptive technologies. Competitors who introduce innovative features or adopt emerging technologies can pose a threat to established players in the insight engine market. To maintain a competitive edge, continuous investment in research and development is necessary to stay at the forefront of technological advancements.
  • Data Quality and Integration Challenges: The effectiveness of insight engines heavily relies on the quality, accuracy, and integration of the data they process. Challenges such as poor data quality, inconsistent data formats, and complexities in integrating diverse sources can hinder the performance and accuracy of insight engine solutions. Addressing these data-related challenges requires robust data management practices and efficient integration capabilities.
  • Ethical and Bias Concerns: AI-powered insight engines are susceptible to biases in data analysis and decision-making processes. Biased algorithms can lead to discriminatory outcomes, eroding user trust and undermining the credibility of insight engine solutions. Ensuring fairness, transparency, and ethical use of data and algorithms is paramount to mitigate ethical and bias concerns in the market.
  • Regulatory and Compliance Factors: The Europe insight engine market operates within a constantly evolving regulatory environment. Compliance with data protection regulations, industry-specific requirements, and emerging laws related to AI and data usage present challenges and increased operational costs for insight engine providers. Staying updated with regulatory changes and adapting solutions accordingly is essential to ensure compliance and mitigate regulatory risks.

Report Scope

Feature of the Report Details
Market Size in 2023 USD 521.1 Million
Projected Market Size in 2032 USD 1983.1 Million
Market Size in 2022 USD 358.7 Million
CAGR Growth Rate 19.2% CAGR
Base Year 2023
Forecast Period 2024-2033
Key Segment By Offering Type, Application and Region
Report Coverage Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends
Regional Scope Europe
Buying Options Request tailored purchasing options to fulfil your requirements for research.

Category-Wise Insights

By Offering Type:

  • Software/Platform Solutions: This category pertains to the size of the market for software or platform solutions specifically designed for insight engines. It encompasses comprehensive software solutions that enable organizations to effectively deploy and utilize insight engines. The market size of software/platform solutions within the global insight engine market holds significant value, propelled by the increasing demand for advanced analytics and data processing capabilities.
  • Services: The services segment covers the market size of professional services associated with insight engines. This includes consulting, implementation, integration, training, and support services offered by insight engine providers. As organizations seek assistance in implementing and optimizing their insight engines, the market size of services within the global insight engine market holds substantial importance.

By Application:

  • Customer Experience Management: Insight engines are utilized to analyze customer data and provide actionable insights to enhance the customer experience. This involves understanding customer preferences, behavior patterns, and conducting sentiment analysis. The market size for insight engines in customer experience management is substantial as organizations prioritize improving customer satisfaction and loyalty.
  • Sales and Marketing Optimization: Insight engines play a critical role in sales and marketing by analyzing customer data, market trends, and competitor information. They deliver insights to optimize sales strategies, target marketing campaigns, and personalize customer engagement. The market size for insight engines in sales and marketing optimization is significant, driven by the demand for data-driven decision-making and effective customer targeting.
  • Risk and Compliance Management: Insight engines assist organizations in identifying and mitigating risks, ensuring regulatory compliance, and detecting anomalies in data. They analyze vast volumes of data to uncover potential risks, identify fraud patterns, and detect compliance violations. The market size for insight engines in risk and compliance management is notable as organizations prioritize risk mitigation and compliance adherence.
  • Operations and Process Optimization: Insight engines are deployed to enhance operational efficiency, streamline processes, and optimize resource utilization. They analyze data from various sources to identify bottlenecks, inefficiencies, and opportunities for process improvement. The market size for insight engines in operations and process optimization is significant as organizations seek to drive productivity and reduce costs.
  • Research and Development: Insight engines facilitate research and development activities by analyzing scientific data, patents, academic research, and industry trends. They enable organizations to identify new opportunities, assess market potential, and support innovation. The market size for insight engines in research and development is notable as organizations invest in data-driven decision-making and innovation strategies.

Europe Insight Engine Market 2023–2032 (By Million)

Europe Insight Engine Market – Regional Analysis

Europe Insight Engine Market can be analyzed regionally based on the geographical distribution and the market presence of key players. focus on innovation, digital transformation, and data-driven decision-making has been instrumental in driving the adoption of insight engine solutions. Various industries, including finance, retail, healthcare, and manufacturing, actively embrace insight engines to extract valuable insights from their data assets.

  • Northern Europe: Sweden, Norway, Denmark, and Finland are renowned for their high rates of technology adoption and advanced IT infrastructure. These countries have been early adopters of insight engine solutions, leveraging them to enhance customer experiences, improve operational efficiency, and foster innovation. The region places significant emphasis on data privacy, compliance, and cultivates a strong culture of innovation, which has contributed to the growth of the insight engine market in Northern Europe.
  • Eastern Europe: Eastern European countries such as Poland, Czech Republic, Hungary, and Russia are witnessing an increasing adoption of insight engine solutions. The region is undergoing digital transformation across multiple sectors, including banking, telecommunications, and e-commerce, driving the demand for advanced search and analytics capabilities. Although the insight engine market in Eastern Europe is still developing, there is substantial growth potential as organizations recognize the importance of data-driven insights.
  • Southern Europe: Greece, Portugal, and Turkey are among the Southern European countries gradually embracing insight engine solutions to leverage their data assets for better decision-making and operational efficiency. The market in this region is driven by industries such as retail, hospitality, and tourism. However, economic factors and varying levels of technological maturity across countries can impact the growth rate of the insight engine market in Southern Europe.
  • Central Europe: Central European countries, including Austria, Switzerland, and the Czech Republic, are experiencing a growing interest in insight engine solutions. Organizations in this region are increasingly recognizing the need to extract meaningful insights from their data to gain a competitive advantage. The market in Central Europe is characterized by a combination of established players and emerging startups offering innovative insight engine solutions.

Europe Insight Engine Market 2023–2032 (By Offering Type)

Competitive Landscape – Europe Insight Engine Market

Europe Insight Engine Market is highly competitive, with a large number of manufacturers and retailers operating globally. Some of the key players in the market include:

  • Microsoft Corporation
  • IBM Corporation
  • Inc.
  • Google LLC
  • Amazon Web Services Inc.
  • Oracle Corporation
  • SAP SE
  • Coveo Solutions Inc.
  • Attivio Inc.
  • Sinequa
  • Lucidworks Inc.
  • Dassault Systèmes SE
  • IntraFind Software AG
  • Funnelback Pty Ltd.
  • Mindbreeze GmbH
  • Others

 The Europe Insight Engine Market is segmented as follows:

By Offering Type

  • Solutions
  • Services

By Application

  • Workforce Management
  • Customer Experience Management
  • Risk & Compliance Management
  • Sales & Marketing Management
  • Operation Management
  • Other Applications (Search & Discovery and Knowledge Management)


  • United Kingdom
  • France
  • Germany
  • Italy
  • Rest of Europe

Table of Contents

  • Chapter 1. Preface
    • 1.1 Report Description and Scope
    • 1.2 Research scope
    • 1.3 Research methodology
      • 1.3.1 Market Research Type
      • 1.3.2 Market research methodology
  • Chapter 2. Executive Summary
    • 2.1 Europe Insight Engine Market, (2024 – 2033) (USD Million)
    • 2.2 Europe Insight Engine Market : snapshot
  • Chapter 3. Europe Insight Engine Market – Industry Analysis
    • 3.1 Europe Insight Engine Market: Market Dynamics
    • 3.2 Market Drivers
      • 3.2.1 Rising Data Generation
      • 3.2.2 Adoption of Artificial Intelligence (AI) and Machine Learning (ML)
      • 3.2.3 Advancements in Natural Language Processing (NLP)
      • 3.2.4 Emergence of Big Data Analytics
      • 3.2.5 Focus on Data-Driven Decision-Making
      • 3.2.6 Regulatory Compliance and Governance
      • 3.2.7 Demand for Real-time Insights.
    • 3.3 Market Restraints
    • 3.4 Market Opportunities
    • 3.5 Market Challenges
    • 3.6 Porter’s Five Forces Analysis
    • 3.7 Market Attractiveness Analysis
      • 3.7.1 Market attractiveness analysis By Offering Type
      • 3.7.2 Market attractiveness analysis By Application
  • Chapter 4. Europe Insight Engine Market- Competitive Landscape
    • 4.1 Company market share analysis
      • 4.1.1 Europe Insight Engine Market: company market share, 2022
    • 4.2 Strategic development
      • 4.2.1 Acquisitions & mergers
      • 4.2.2 New Product launches
      • 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4 Research and development and Regional expansion
    • 4.3 Price trend analysis
  • Chapter 5. Europe Insight Engine Market – Offering Type Analysis
    • 5.1 Europe Insight Engine Market overview: By Offering Type
      • 5.1.1 Europe Insight Engine Market share, By Offering Type, 2022 and – 2033
    • 5.2 Solutions
      • 5.2.1 Europe Insight Engine Market by Solutions, 2024 – 2033 (USD Million)
    • 5.3 Services
      • 5.3.1 Europe Insight Engine Market by Services, 2024 – 2033 (USD Million)
  • Chapter 6. Europe Insight Engine Market – Application Analysis
    • 6.1 Europe Insight Engine Market overview: By Application
      • 6.1.1 Europe Insight Engine Market share, By Application, 2022 and – 2033
    • 6.2 Workforce Management
      • 6.2.1 Europe Insight Engine Market by Workforce Management, 2024 – 2033 (USD Million)
    • 6.3 Customer Experience Management
      • 6.3.1 Europe Insight Engine Market by Customer Experience Management, 2024 – 2033 (USD Million)
    • 6.4 Risk & Compliance Management
      • 6.4.1 Europe Insight Engine Market by Risk & Compliance Management, 2024 – 2033 (USD Million)
    • 6.5 Sales & Marketing Management
      • 6.5.1 Europe Insight Engine Market by Sales & Marketing Management, 2024 – 2033 (USD Million)
    • 6.6 Operation Management
      • 6.6.1 Europe Insight Engine Market by Operation Management, 2024 – 2033 (USD Million)
    • 6.7 Other Applications (Search & Discovery and Knowledge Management)
      • 6.7.1 Europe Insight Engine Market by Other Applications (Search & Discovery and Knowledge Management), 2024 – 2033 (USD Million)
  • Chapter 7. Europe Insight Engine Market – Regional Analysis
    • 7.1 Europe Insight Engine Market Regional Overview
    • 7.2 Europe Insight Engine Market Share, by Region, 2022 & – 2033 (USD Million)
  • Chapter 8. Company Profiles
    • 8.1 Microsoft Corporation
      • 8.1.1 Overview
      • 8.1.2 Financials
      • 8.1.3 Product Portfolio
      • 8.1.4 Business Strategy
      • 8.1.5 Recent Developments
    • 8.2 IBM Corporation
      • 8.2.1 Overview
      • 8.2.2 Financials
      • 8.2.3 Product Portfolio
      • 8.2.4 Business Strategy
      • 8.2.5 Recent Developments
    • 8.3 Inc.
      • 8.3.1 Overview
      • 8.3.2 Financials
      • 8.3.3 Product Portfolio
      • 8.3.4 Business Strategy
      • 8.3.5 Recent Developments
    • 8.4 Google LLC
      • 8.4.1 Overview
      • 8.4.2 Financials
      • 8.4.3 Product Portfolio
      • 8.4.4 Business Strategy
      • 8.4.5 Recent Developments
    • 8.5 Amazon Web Services Inc.
      • 8.5.1 Overview
      • 8.5.2 Financials
      • 8.5.3 Product Portfolio
      • 8.5.4 Business Strategy
      • 8.5.5 Recent Developments
    • 8.6 Oracle Corporation
      • 8.6.1 Overview
      • 8.6.2 Financials
      • 8.6.3 Product Portfolio
      • 8.6.4 Business Strategy
      • 8.6.5 Recent Developments
    • 8.7 SAP SE
      • 8.7.1 Overview
      • 8.7.2 Financials
      • 8.7.3 Product Portfolio
      • 8.7.4 Business Strategy
      • 8.7.5 Recent Developments
    • 8.8 Coveo Solutions Inc.
      • 8.8.1 Overview
      • 8.8.2 Financials
      • 8.8.3 Product Portfolio
      • 8.8.4 Business Strategy
      • 8.8.5 Recent Developments
    • 8.9 Attivio Inc.
      • 8.9.1 Overview
      • 8.9.2 Financials
      • 8.9.3 Product Portfolio
      • 8.9.4 Business Strategy
      • 8.9.5 Recent Developments
    • 8.10 Sinequa
      • 8.10.1 Overview
      • 8.10.2 Financials
      • 8.10.3 Product Portfolio
      • 8.10.4 Business Strategy
      • 8.10.5 Recent Developments
    • 8.11 Lucidworks Inc.
      • 8.11.1 Overview
      • 8.11.2 Financials
      • 8.11.3 Product Portfolio
      • 8.11.4 Business Strategy
      • 8.11.5 Recent Developments
    • 8.12 Dassault Systèmes SE
      • 8.12.1 Overview
      • 8.12.2 Financials
      • 8.12.3 Product Portfolio
      • 8.12.4 Business Strategy
      • 8.12.5 Recent Developments
    • 8.13 IntraFind Software AG
      • 8.13.1 Overview
      • 8.13.2 Financials
      • 8.13.3 Product Portfolio
      • 8.13.4 Business Strategy
      • 8.13.5 Recent Developments
    • 8.14 Funnelback Pty Ltd.
      • 8.14.1 Overview
      • 8.14.2 Financials
      • 8.14.3 Product Portfolio
      • 8.14.4 Business Strategy
      • 8.14.5 Recent Developments
    • 8.15 Mindbreeze GmbH
      • 8.15.1 Overview
      • 8.15.2 Financials
      • 8.15.3 Product Portfolio
      • 8.15.4 Business Strategy
      • 8.15.5 Recent Developments
    • 8.16 Others.
      • 8.16.1 Overview
      • 8.16.2 Financials
      • 8.16.3 Product Portfolio
      • 8.16.4 Business Strategy
      • 8.16.5 Recent Developments
List Of Figures

Figures No 1 to 17

List Of Tables

Tables No 1 to 2

Report Methodology

In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:

Preliminary Data Mining

On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.

Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.

Statistical Model

Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.

Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.

Some of the variables taken into account for forecasting are as follows:

• Industry drivers and constraints, as well as their current and projected impact

• The raw material case, as well as supply-versus-price trends

• Current volume and projected volume growth through 2030

We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.

Primary Validation

This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.

Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.

All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:

• Market leaders

• Suppliers of raw materials

• Suppliers of raw materials

• Buyers.

The following are the primary research objectives:

• To ensure the accuracy and acceptability of our data.

• Gaining an understanding of the current market and future projections.

Data Collection Matrix

Perspective Primary research Secondary research
  • Manufacturers
  • Technology distributors and wholesalers
  • Company reports and publications
  • Government publications
  • Independent investigations
  • Economic and demographic data
  • End-user surveys
  • Consumer surveys
  • Mystery shopping
  • Case studies
  • Reference customers

Market Analysis Matrix

Qualitative analysis Quantitative analysis
  • Industry landscape and trends
  • Market dynamics and key issues
  • Technology landscape
  • Market opportunities
  • Porter’s analysis and PESTEL analysis
  • Competitive landscape and component benchmarking
  • Policy and regulatory scenario
  • Market revenue estimates and forecast up to 2030
  • Market revenue estimates and forecasts up to 2030, by technology
  • Market revenue estimates and forecasts up to 2030, by application
  • Market revenue estimates and forecasts up to 2030, by type
  • Market revenue estimates and forecasts up to 2030, by component
  • Regional market revenue forecasts, by technology
  • Regional market revenue forecasts, by application
  • Regional market revenue forecasts, by type
  • Regional market revenue forecasts, by component

Prominent Player

  • Microsoft Corporation
  • IBM Corporation
  • Inc.
  • Google LLC
  • Amazon Web Services Inc.
  • Oracle Corporation
  • SAP SE
  • Coveo Solutions Inc.
  • Attivio Inc.
  • Sinequa
  • Lucidworks Inc.
  • Dassault Systèmes SE
  • IntraFind Software AG
  • Funnelback Pty Ltd.
  • Mindbreeze GmbH
  • Others


The key factors driving the Market are Rising Data Generation, Adoption of Artificial Intelligence (AI) and Machine Learning (ML), Advancements in Natural Language Processing (NLP), Emergence of Big Data Analytics, Focus on Data-Driven Decision-Making, Regulatory Compliance and Governance And Demand for Real-time Insights.

The “Application” category dominated the market in 2022.

The key players in the market are Microsoft Corporation, IBM Corporation, Inc., Google LLC, Amazon Web Services Inc., Oracle Corporation, SAP SE, Coveo Solutions Inc., Attivio Inc., Sinequa, Lucidworks Inc., Dassault Systèmes SE, IntraFind Software AG, Funnelback Pty Ltd., Mindbreeze GmbH , Others.

The market is projected to grow at a CAGR of 19.2% during the forecast period, 2023-2032.

The Europe Insight Engine Market size was valued at USD 358.7 Million in 2022.










powerbi pdf


What You Get :

  • PDF Report Format.
  • Can be accessible by 1 single user.
  • Free 25% or 40 hours of customisation.
  • Free post-sale service assistance.
  • 15% discount on your next purchase.
  • Dedicated account Associate .
  • Permission to print the report.
  • Service guarantee available.
  • PDF and Excel Datasheet Formats.
  • Can be accessible upto 2 to 5 users.
  • Free 35% or 60 hours of customisation.
  • Free post-sale service assistance.
  • 25% discount on your next purchase.
  • Service guarantee available.
  • Personalised market brief by author.
  • Permission to print the report.
  • Report in your Language.
  • PDF, Excel and Power Point.
  • Can be accessible by unlimited users.
  • Free 40% or 80 hours of customisation.
  • Free post-sale service assistance.
  • 30% discount on your next purchase.
  • Permission to print the report.
  • Dedicated account manager.
  • Service guarantee available.
  • Report in your Language.
  • Excel Datasheet Format.
  • Customized access as per user request.
  • Upgradable to other licenses.
  • 15% discount on your next purchase.
  • Free 20% or 10 hours of customisation.
  • PDF, Excel, Power Point and Power BI.
  • Every Year Free Update ( Apr – Apr)
  • Personalized market brief by author
  • Can be accessible by unlimited users.
  • Free 50% or 90 hours of customization.
  • Up to 50 Company Profiles
  • Free post-sale service assistance with guarantee
  • 40% discount on your next purchase.
  • Permission to print the report.
  • Dedicated account team.
  • Service guarantee available.
  • Report in your Language.

Want to customize this report?