Market Overview:
The global cognitive search platform market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for cognitive search platforms from large enterprises and SMEs. Additionally, the growing trend of cloud-based and web-based cognitive search platforms is also contributing to the growth of this market. However, lack of awareness about cognitive search platforms among end users is restraining the growth of this market. North America dominates the global cognitive search platform market, followed by Europe, Asia Pacific, Latin America, and Middle East & Africa.
Product Definition:
Cognitive search platforms are designed to help users find information by understanding their intent and the context of their search. These platforms use artificial intelligence (AI) to analyze data and identify relevant information sources, which they then present to the user in a clear and concise way.
The importance of cognitive search platforms is that they can help companies improve the efficiency and effectiveness of their knowledge management processes. By providing users with a more intuitive way to find information, these platforms can help them locate the right data quickly and easily, making it easier for them to make informed decisions. Additionally, cognitive search engines can also be used to monitor user behavior in order to better understand how employees are using corporate data.
Cloud-based:
Cloud-based is a term used to define software or services that are hosted on the cloud. The cloud represents the virtualization of hardware resources such as servers, storage devices, and network connections. In other words, it's an approach where instead of installing an application on physical machines (servers), we can install it on fewer machines (cloud server) and access those applications using internet protocol over the internet.
Web-based:
The Web-based platform is a collection of software and hardware components that are used to process, analyze, and index the information on the Internet. The technology helps in organizing data found on the Internet by subjecting it to a search engine. It also helps in displaying relevant results based on the keywords or topics entered by users.
Application Insights:
The large enterprise segment dominated the global cognitive search platform market in 2017. This is attributed to factors such as extensive usage of AI platforms by large enterprises for advanced analytics and superior decision-making capabilities. Furthermore, growing adoption of chatbot solutions by large enterprises for customer support and knowledge transfer is further driving growth. The SMEs' application segment is expected to witness significant growth over the forecast period owing to increasing penetration of digital technologies across small businesses, which are increasingly adopting cognitive search platforms for better insights on customers¢â‚¬â„¢ needs and improving customer engagement efforts through chatbots.
The rise in demand from retail companies such as Amazon, Inc.
Regional Analysis:
North America dominated the global market in 2017. North America has a well-established IT sector and is home to several technology giants such as IBM, Google, Microsoft Corporation. The region’s growth can also be attributed to the increasing investments in R&D for cognitive computing and emergence of new startups offering advanced search solutions based on artificial intelligence (AI). Moreover, presence of leading e-commerce companies such as Amazon.com Inc., eBay Inc., and Walmart Stores Inc., which are continuously investing in AI technology will drive regional growth over the forecast period.
Asia Pacific is expected to witness significant growth over the forecast period owing to rising adoption of cloud computing services across various sectors including banking & financial services, retail & consumer goods, telecom & IT services among others. Increasing penetration rates for smartphones coupled with growing demand for mobile search apps from consumers are further driving regional market growth.
Growth Factors:
- Increasing demand for cognitive search platforms from small and medium-sized businesses (SMBs) due to the growing awareness of the benefits of cognitive search platforms over traditional search engines.
- The increasing demand for cognitive search platforms from large enterprises due to the need to manage and analyze big data sets more effectively.
- The increasing use of cognitive search platforms in government and defense organizations to improve intelligence gathering and analysis capabilities.
- The growing popularity of cloud-based cognitive search platforms among businesses due to their lower cost and ease of deployment/use.
- The increasing focus on big data analytics by businesses, which is driving the need for better tools such as cognitive search platforms that can help make sense of all this data
Scope Of The Report
Report Attributes
Report Details
Report Title
Cognitive Search Platform Market Research Report
By Type
Cloud-based, Web-based
By Application
Large Enterprise, SMEs
By Companies
IBM Watson, Coveo, Attivio, Lucidworks, Mindbreeze, Sinequa, Micro Focus, Squirro, PerkinElmer, BA Insight, BMC Software
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
182
Number of Tables & Figures
128
Customization Available
Yes, the report can be customized as per your need.
Global Cognitive Search Platform Market Report Segments:
The global Cognitive Search Platform market is segmented on the basis of:
Types
Cloud-based, Web-based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprise, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM Watson
- Coveo
- Attivio
- Lucidworks
- Mindbreeze
- Sinequa
- Micro Focus
- Squirro
- PerkinElmer
- BA Insight
- BMC Software
Highlights of The Cognitive Search Platform Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- Web-based
- By Application:
- Large Enterprise
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Cognitive Search Platform Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A cognitive search platform is a web-based application that helps users find information more quickly by using natural language processing and machine learning. The platform can be used to search for information on the internet, in documents, or in data sets.
Some of the key players operating in the cognitive search platform market are IBM Watson, Coveo, Attivio, Lucidworks, Mindbreeze, Sinequa, Micro Focus, Squirro, PerkinElmer, BA Insight, BMC Software.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Cognitive Search Platform Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Cognitive Search Platform Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Cognitive Search Platform Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Cognitive Search Platform Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Cognitive Search Platform Market Size & Forecast, 2018-2028 4.5.1 Cognitive Search Platform Market Size and Y-o-Y Growth 4.5.2 Cognitive Search Platform Market Absolute $ Opportunity
Chapter 5 Global Cognitive Search Platform Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Cognitive Search Platform Market Size Forecast by Type
5.2.1 Cloud-based
5.2.2 Web-based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Cognitive Search Platform Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Cognitive Search Platform Market Size Forecast by Applications
6.2.1 Large Enterprise
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Cognitive Search Platform Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Cognitive Search Platform Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Cognitive Search Platform Analysis and Forecast
9.1 Introduction
9.2 North America Cognitive Search Platform Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Cognitive Search Platform Market Size Forecast by Type
9.6.1 Cloud-based
9.6.2 Web-based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Cognitive Search Platform Market Size Forecast by Applications
9.10.1 Large Enterprise
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Cognitive Search Platform Analysis and Forecast
10.1 Introduction
10.2 Europe Cognitive Search Platform Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Cognitive Search Platform Market Size Forecast by Type
10.6.1 Cloud-based
10.6.2 Web-based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Cognitive Search Platform Market Size Forecast by Applications
10.10.1 Large Enterprise
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Cognitive Search Platform Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Cognitive Search Platform Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Cognitive Search Platform Market Size Forecast by Type
11.6.1 Cloud-based
11.6.2 Web-based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Cognitive Search Platform Market Size Forecast by Applications
11.10.1 Large Enterprise
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Cognitive Search Platform Analysis and Forecast
12.1 Introduction
12.2 Latin America Cognitive Search Platform Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Cognitive Search Platform Market Size Forecast by Type
12.6.1 Cloud-based
12.6.2 Web-based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Cognitive Search Platform Market Size Forecast by Applications
12.10.1 Large Enterprise
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Cognitive Search Platform Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Cognitive Search Platform Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Cognitive Search Platform Market Size Forecast by Type
13.6.1 Cloud-based
13.6.2 Web-based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Cognitive Search Platform Market Size Forecast by Applications
13.10.1 Large Enterprise
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Cognitive Search Platform Market: Competitive Dashboard
14.2 Global Cognitive Search Platform Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM Watson
14.3.2 Coveo
14.3.3 Attivio
14.3.4 Lucidworks
14.3.5 Mindbreeze
14.3.6 Sinequa
14.3.7 Micro Focus
14.3.8 Squirro
14.3.9 PerkinElmer
14.3.10 BA Insight
14.3.11 BMC Software