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Insight Engines Market Demand Outlook, Regional Trends & Forecast (2024-2032)
The insight engines market refers to the creation and implementation of new and sophisticated search and analytical platforms with the uses of artificial intelligence and machine learning. They define how these organisations can gain useful information from ranging from structured to unstructured data for decision-making, optimising customer satisfaction, and productivity.
IMR Group
Description
Insight Engines Market Synopsis:
Insight Engines Market Size Was Valued at USD 1.84 Billion in 2023, and is Projected to Reach USD 15.31 Billion by 2032, Growing at a CAGR of 26.50% From 2024-2032.
The insight engines market refers to the creation and implementation of new and sophisticated search and analytical platforms with the uses of artificial intelligence and machine learning. They define how these organisations can gain useful information from ranging from structured to unstructured data for decision-making, optimising customer satisfaction, and productivity.
The insight engines market in the global space has changed with the increasing take-up of AI, machine learning, and NLP technology. Companies now turn to these systems to understand the users’ behaviour and challenging processes better and to forecast future trends. The market finds use in various industries including retail, BFSI, IT and healthcare where there is a need to get insights from the data. By 2023, the market has exuberant value of $70 billion, where North America was leading due to its enhanced technology environment and increased market of information-associated operations.
Customer experience management (CEM) remains as one of the primary application segments meaning that there must be an emphasis on touch point optimization with the view of improving customer experience. Furthermore, predictive analytics which is a major component of insight engines is extensively used in decision making concerning resource allocation which has established the technology as a darling of large and small business entities. This segment remains in the early years of its growth, as more and more organizations incorporate these into the technologies of their IT systems.
Insight Engines Market Trend Analysis:
Rising Use of Predictive Insights
The insight engines market is gradually shifting to predictiveness analytics as a dominant trend. The above tools draw algorithms that assist in the prediction of future occurrences to allow pre-action planning. In particular, predictive insight engines are most effective in such fields as supply chain analysis, for example, by minimizing inventory and streamlining logistics.
In healthcare prescriptive analytics assists in ensuring that at risk patients are easily detected and treated appropriately to reduce complications. While more and more organizations focus on the aspects of prediction and flexibility, predictive analytics remains to be a major competitive advantage, which promotes more and more companies to start employing insight engines.
Growing Adoption in Emerging Markets
The insight engines market in Asia-Pacific and Latin America are still developing therefore holding a great potential for the market. Many developed countries are digitalizing at tremendous speed in today’s world, and a country like China, India or Brazil generates quantities of data which can be analysed. Growing incorporation of artificial intelligence and machine learning in these regions is creating demand for solution that can translate simple data into useful information.
Furthermore, the local players’ entry into these markets as well as joint ventures with international technology firms also fuel the growth. By focusing on these emerging markets, insight engine solutions will be able to extend the reach to a loyal but untapped consumer base.
Insight Engines Market Segment Analysis:
Insight Engines Market is Segmented on the basis of Component, Application, Vertical, and Region.
By Component, Software segment is expected to dominate the market during the forecast period
The application type segment explores the insight engines market the most where the software segment leads in the market share. It involves the use of various platforms based on artificial intelligence to put and evaluate structured and unstructured data for business intelligence. They also help organizations to better assess key decisions, engage with customers, and sort out managerial tasks. Situated in this context, the increasing requirement for complex, enterprise-oriented search systems and prediction tools dictates software integration. The rapid growth of AI, machine learning, and NLP also impact the segmented ongoing growth rate. Businesses regardless of their industries including retail, BFSI and IT sectors are now putting a great deal of focus on software platforms to unlock value from their data.
Although much smaller in comparison to the software segment, the services segment is also driving Central to the market by enabling the deployment and efficient use of insight engines. Consulting and training, maintenance, and system integration belong to the same category. These services are usually offered as a value-added service encompassed by vendors’ solutions or as an optional service provided in cooperation with specialized companies. Although insight engines incorporating artificial intelligence features have been on the market for several years, the complexity of these advanced AI installations has raised the need for professional consultants to assist in their application as well as their fine tuning. When corporations start using such technologies, they look for specific services that would allow them to integrate it to their operations to yield ideal results. The services segment is also expected to have a good outlook due to the growing adoption of digital changes in organisation.
By Application, workforce management segment expected to held the largest share
There is many-sided segmentation of the application segment of insight engines with the key directions including the workforce management, the customer experience management, the sales and marketing management, and the risk and compliance management. Human capital management solutions use insight engines to manage human capital as well as providing workforce planning based on the data collected. In customer experience management, it assists an organization in the following ways; It enables the customization of interactions, forecasts clients’ behaviour, and improves satisfaction levels. There are several ways that sales and marketing management can benefit from audience recognition, performance measurement and data trends analysis. Risk and compliance management applications allow organizations to identify regulation risks, guidance and avoid potential threats, thanks to the data provided.
In applications, the “Others” sections refer to the multiple sectors other than those mentioned above that apply insight engines ranging from supply chain and product management to financial applications. Managing these areas is enhanced by insight engines’ ability to analyze big data to offer valuable insights as needed, contributing to increasing operations efficiency or developing new products and services more quickly, and reallocating resources more effectively. More and more, as organizations aspire to become digital enterprises, these tools are invaluable for enhancing performance and decision making across functions. BFSI, healthcare, government, and manufacturing sectors are today finding a lot of value in these applications, thus fuelling the growth of the market.
Insight Engines Market Regional Insights:
North America is Expected to Dominate the Market Over the Forecast period
North America is expected to hold the largest market share of insight engines, globally, with an approximate contribution of 65% of the global market share by the end of 2023. The United States dominated the regional market with a share higher than 60 percent.
This domination can be explained by new IT environment development, increased digitalization rate across the region, and increased focus on customers and their data. The fact that the region has already shows high technological advancement in manufacturing and has been investing in research and developmental programs towards the advancement of Artificial Intelligence and machine learning make it poised to maintain its dominance in this segment of the manufacturing market.
Active Key Players in the Insight Engines Market
Accenture (Ireland)
Algolia (France)
Attivio (USA)
BA Insight (USA)
Coveo (Canada)
Elastic N.V. (Netherlands)
Expert.ai (Italy)
IBM Corporation (USA)
Lucidworks (USA)
Microsoft Corporation (USA)
Mindbreeze GmbH (Austria)
OpenText Corporation (Canada)
Sinequa (France)
ThoughtSpot (USA)
Veritone (USA)
Other Active Players.
Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Market Dynamics
3.1.1 Drivers
3.1.2 Restraints
3.1.3 Opportunities
3.1.4 Challenges
3.2 Market Trend Analysis
3.3 PESTLE Analysis
3.4 Porter’s Five Forces Analysis
3.5 Industry Value Chain Analysis
3.6 Ecosystem
3.7 Regulatory Landscape
3.8 Price Trend Analysis
3.9 Patent Analysis
3.10 Technology Evolution
3.11 Investment Pockets
3.12 Import-Export Analysis
Chapter 4: Insight Engines Market by Component
4.1 Insight Engines Market Snapshot and Growth Engine
4.2 Insight Engines Market Overview
4.3 Software
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Key Market Trends, Growth Factors and Opportunities
4.3.4 Software: Geographic Segmentation Analysis
4.4 Services
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Key Market Trends, Growth Factors and Opportunities
4.4.4 Services: Geographic Segmentation Analysis
Chapter 5: Insight Engines Market by Application
5.1 Insight Engines Market Snapshot and Growth Engine
5.2 Insight Engines Market Overview
5.3 Workforce Management
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Workforce Management: Geographic Segmentation Analysis
5.4 Customer Experience Management
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Customer Experience Management: Geographic Segmentation Analysis
5.5 Sales & ing Management
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Sales & ing Management: Geographic Segmentation Analysis
5.6 Risk & Compliance Management
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Risk & Compliance Management: Geographic Segmentation Analysis
5.7 Others
5.7.1 Introduction and Market Overview
5.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.7.3 Key Market Trends, Growth Factors and Opportunities
5.7.4 Others: Geographic Segmentation Analysis
Chapter 6: Insight Engines Market by vertical
6.1 Insight Engines Market Snapshot and Growth Engine
6.2 Insight Engines Market Overview
6.3 BFSI
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 BFSI: Geographic Segmentation Analysis
6.4 IT & Telecom
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 IT & Telecom: Geographic Segmentation Analysis
6.5 Retail & E-commerce
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Retail & E-commerce: Geographic Segmentation Analysis
6.6 Healthcare
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Healthcare: Geographic Segmentation Analysis
6.7 Manufacturing
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Manufacturing: Geographic Segmentation Analysis
6.8 Government
6.8.1 Introduction and Market Overview
6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.8.3 Key Market Trends, Growth Factors and Opportunities
6.8.4 Government: Geographic Segmentation Analysis
6.9 Others
6.9.1 Introduction and Market Overview
6.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
6.9.3 Key Market Trends, Growth Factors and Opportunities
6.9.4 Others: Geographic Segmentation Analysis
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Benchmarking
7.1.2 Insight Engines Market Share by Manufacturer (2023)
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Mergers and Acquisitions
7.2 ACCENTURE
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Role of the Company in the Market
7.2.5 Sustainability and Social Responsibility
7.2.6 Operating Business Segments
7.2.7 Product Portfolio
7.2.8 Business Performance
7.2.9 Key Strategic Moves and Recent Developments
7.2.10 SWOT Analysis
7.3 ALGOLIA
7.4 ATTIVIO
7.5 BA INSIGHT
7.6 COVEO
7.7 ELASTIC N.V.
7.8 EXPERT.AI
7.9 IBM CORPORATION
7.10 LUCIDWORKS
7.11 MICROSOFT CORPORATION
7.12 MINDBREEZE GMBH
7.13 OPENTEXT CORPORATION
7.14 SINEQUA
7.15 THOUGHTSPOT
7.16 VERITONE
7.17 OTHER ACTIVE PLAYERS
Chapter 8: Global Insight Engines Market By Region
8.1 Overview
8.2. North America Insight Engines Market
8.2.1 Key Market Trends, Growth Factors and Opportunities
8.2.2 Top Key Companies
8.2.3 Historic and Forecasted Market Size by Segments
8.2.4 Historic and Forecasted Market Size By Component
8.2.4.1 Software
8.2.4.2 Services
8.2.5 Historic and Forecasted Market Size By Application
8.2.5.1 Workforce Management
8.2.5.2 Customer Experience Management
8.2.5.3 Sales & ing Management
8.2.5.4 Risk & Compliance Management
8.2.5.5 Others
8.2.6 Historic and Forecasted Market Size By vertical
8.2.6.1 BFSI
8.2.6.2 IT & Telecom
8.2.6.3 Retail & E-commerce
8.2.6.4 Healthcare
8.2.6.5 Manufacturing
8.2.6.6 Government
8.2.6.7 Others
8.2.7 Historic and Forecast Market Size by Country
8.2.7.1 US
8.2.7.2 Canada
8.2.7.3 Mexico
8.3. Eastern Europe Insight Engines Market
8.3.1 Key Market Trends, Growth Factors and Opportunities
8.3.2 Top Key Companies
8.3.3 Historic and Forecasted Market Size by Segments
8.3.4 Historic and Forecasted Market Size By Component
8.3.4.1 Software
8.3.4.2 Services
8.3.5 Historic and Forecasted Market Size By Application
8.3.5.1 Workforce Management
8.3.5.2 Customer Experience Management
8.3.5.3 Sales & ing Management
8.3.5.4 Risk & Compliance Management
8.3.5.5 Others
8.3.6 Historic and Forecasted Market Size By vertical
8.3.6.1 BFSI
8.3.6.2 IT & Telecom
8.3.6.3 Retail & E-commerce
8.3.6.4 Healthcare
8.3.6.5 Manufacturing
8.3.6.6 Government
8.3.6.7 Others
8.3.7 Historic and Forecast Market Size by Country
8.3.7.1 Russia
8.3.7.2 Bulgaria
8.3.7.3 The Czech Republic
8.3.7.4 Hungary
8.3.7.5 Poland
8.3.7.6 Romania
8.3.7.7 Rest of Eastern Europe
8.4. Western Europe Insight Engines Market
8.4.1 Key Market Trends, Growth Factors and Opportunities
8.4.2 Top Key Companies
8.4.3 Historic and Forecasted Market Size by Segments
8.4.4 Historic and Forecasted Market Size By Component
8.4.4.1 Software
8.4.4.2 Services
8.4.5 Historic and Forecasted Market Size By Application
8.4.5.1 Workforce Management
8.4.5.2 Customer Experience Management
8.4.5.3 Sales & ing Management
8.4.5.4 Risk & Compliance Management
8.4.5.5 Others
8.4.6 Historic and Forecasted Market Size By vertical
8.4.6.1 BFSI
8.4.6.2 IT & Telecom
8.4.6.3 Retail & E-commerce
8.4.6.4 Healthcare
8.4.6.5 Manufacturing
8.4.6.6 Government
8.4.6.7 Others
8.4.7 Historic and Forecast Market Size by Country
8.4.7.1 Germany
8.4.7.2 UK
8.4.7.3 France
8.4.7.4 The Netherlands
8.4.7.5 Italy
8.4.7.6 Spain
8.4.7.7 Rest of Western Europe
8.5. Asia Pacific Insight Engines Market
8.5.1 Key Market Trends, Growth Factors and Opportunities
8.5.2 Top Key Companies
8.5.3 Historic and Forecasted Market Size by Segments
8.5.4 Historic and Forecasted Market Size By Component
8.5.4.1 Software
8.5.4.2 Services
8.5.5 Historic and Forecasted Market Size By Application
8.5.5.1 Workforce Management
8.5.5.2 Customer Experience Management
8.5.5.3 Sales & ing Management
8.5.5.4 Risk & Compliance Management
8.5.5.5 Others
8.5.6 Historic and Forecasted Market Size By vertical
8.5.6.1 BFSI
8.5.6.2 IT & Telecom
8.5.6.3 Retail & E-commerce
8.5.6.4 Healthcare
8.5.6.5 Manufacturing
8.5.6.6 Government
8.5.6.7 Others
8.5.7 Historic and Forecast Market Size by Country
8.5.7.1 China
8.5.7.2 India
8.5.7.3 Japan
8.5.7.4 South Korea
8.5.7.5 Malaysia
8.5.7.6 Thailand
8.5.7.7 Vietnam
8.5.7.8 The Philippines
8.5.7.9 Australia
8.5.7.10 New Zealand
8.5.7.11 Rest of APAC
8.6. Middle East & Africa Insight Engines Market
8.6.1 Key Market Trends, Growth Factors and Opportunities
8.6.2 Top Key Companies
8.6.3 Historic and Forecasted Market Size by Segments
8.6.4 Historic and Forecasted Market Size By Component
8.6.4.1 Software
8.6.4.2 Services
8.6.5 Historic and Forecasted Market Size By Application
8.6.5.1 Workforce Management
8.6.5.2 Customer Experience Management
8.6.5.3 Sales & ing Management
8.6.5.4 Risk & Compliance Management
8.6.5.5 Others
8.6.6 Historic and Forecasted Market Size By vertical
8.6.6.1 BFSI
8.6.6.2 IT & Telecom
8.6.6.3 Retail & E-commerce
8.6.6.4 Healthcare
8.6.6.5 Manufacturing
8.6.6.6 Government
8.6.6.7 Others
8.6.7 Historic and Forecast Market Size by Country
8.6.7.1 Turkiye
8.6.7.2 Bahrain
8.6.7.3 Kuwait
8.6.7.4 Saudi Arabia
8.6.7.5 Qatar
8.6.7.6 UAE
8.6.7.7 Israel
8.6.7.8 South Africa
8.7. South America Insight Engines Market
8.7.1 Key Market Trends, Growth Factors and Opportunities
8.7.2 Top Key Companies
8.7.3 Historic and Forecasted Market Size by Segments
8.7.4 Historic and Forecasted Market Size By Component
8.7.4.1 Software
8.7.4.2 Services
8.7.5 Historic and Forecasted Market Size By Application
8.7.5.1 Workforce Management
8.7.5.2 Customer Experience Management
8.7.5.3 Sales & ing Management
8.7.5.4 Risk & Compliance Management
8.7.5.5 Others
8.7.6 Historic and Forecasted Market Size By vertical
8.7.6.1 BFSI
8.7.6.2 IT & Telecom
8.7.6.3 Retail & E-commerce
8.7.6.4 Healthcare
8.7.6.5 Manufacturing
8.7.6.6 Government
8.7.6.7 Others
8.7.7 Historic and Forecast Market Size by Country
8.7.7.1 Brazil
8.7.7.2 Argentina
8.7.7.3 Rest of SA
Chapter 9 Analyst Viewpoint and Conclusion
9.1 Recommendations and Concluding Analysis
9.2 Potential Market Strategies
Chapter 10 Research Methodology
10.1 Research Process
10.2 Primary Research
10.3 Secondary Research
Q1: What would be the forecast period in the Insight Engines Market research report?
A1: The forecast period in the Insight Engines Market research report is 2024-2032.
Q2: Who are the key players in the Insight Engines Market?
A2: Accenture, Algolia, Attivio, BA Insight, Coveo, Elastic N.V., Expert.ai, IBM Corporation, Lucidworks, Microsoft Corporation, Mindbreeze GmbH, OpenText Corporation, Sinequa, ThoughtSpot, Veritone and Other Active Players.
Q3: What are the segments of the Insight Engines Market?
A3: The Insight Engines Market is segmented into Component, Application, by vertical and region. By Type, the market is categorized into Component (Software, Services), Application, market is categorized into (Workforce Management, Customer Experience Management, Sales & Marketing Management, Risk & Compliance Management, Others), by vertical, market is categorized into (BFSI, IT & Telecom, Retail & E-commerce, Healthcare, Manufacturing, Government, Others). By region, it is analyzed across North America (U.S., Canada, Mexico), Eastern Europe (Russia, Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe), Western Europe (Germany, UK, France, The Netherlands, Italy, Russia, Spain, Rest of Western Europe), Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC), Middle East & Africa (Turkiye, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa), South America (Brazil, Argentina, Rest of SA).
Q4: What is the Insight Engines Market?
A4: The insight engines market refers to the creation and implementation of new and sophisticated search and analytical platforms with the uses of artificial intelligence and machine learning. They define how these organizations can gain useful information from ranging from structured to unstructured data for decision-making, optimizing customer satisfaction, and productivity.
Q5: How big is the Insight Engines Market?
A5: Insight Engines Market Size Was Valued at USD 1.84 Billion in 2023, and is Projected to Reach USD 15.31 Billion by 2032, Growing at a CAGR of 26.50% From 2024-2032.
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