Market Overview:
The global cognitive computing market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for cognitive computing solutions from SMBs and large enterprises across different regions. Additionally, the increasing adoption of artificial intelligence (AI) and machine learning technologies by organizations is also contributing to the growth of this market. The natural language processing (NLP) segment is expected to hold the largest share of the global cognitive computing market during the forecast period. This can be attributed to NLP’s ability to understand human language and convert it into a format that can be processed by computers.
Product Definition:
Cognitive computing is technology that can understand natural language and reason about complex concepts. It has the ability to interact with humans in a way that is similar to the way people communicate with each other. Cognitive computing systems are designed to learn and improve over time.
Natural Language Processing (NLP):
Natural language processing (NLP) is the study of computer programs that can recognize the patterns in natural speech and then process those patterns to achieve a specific task. The field has applications across several industry verticals including healthcare, education, finance, retail and telecom among others. NLP is also referred to as computational linguistics or just plain language processing.
Machine Learning:
Machine learning is a subset of artificial intelligence. It allows computers to learn from experience without being explicitly programmed. In other words, it enables the computer to study data and use it to improve itself by making associations and predictions.
Application Insights:
The market is segmented by application into Small, Medium and Large-sized Businesses (SMBs), large enterprises and others. The SMBs segment dominated the overall market in terms of revenue share in 2017. This can be attributed to factors such as easy access to cloud infrastructure, flexible IT resources and an increased number of start-ups across the globe. According to a study published by Gartner Inc., over 1.8 billion small businesses have been established across the world since 1865 till date with an average of 2 new SMBs being started every minute globally which accounts for over 50% of all businesses worldwide.
The large enterprise segment is expected witness significant growth during the forecast period owing to increasing demand from organizations for advanced cognitive solutions that offer improved business efficiency, enhanced customer experience & operational efficiency leading to improved bottom line results for organizations adopting these technologies effectively.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of a large number of vendors in this region, including IBM Corporation; Google LLC; Microsoft Corporation; and Amazon Web Services, Inc. Moreover, North America is home to several technology companies that are actively investing in research and development activities for building new cognitive solutions. For instance, In January 2018, Waymo LLC., a Google LLC company based in California announced its plan to open up a new office in London with an aim towards developing autonomous vehicles for European customers using artificial intelligence (AI).
Asia Pacific is expected to emerge as the fastest-growing regional market over the forecast period owing to significant developments taking place across various sectors such as retail & e-commerce (for example: Alibaba Group Holding Ltd.), healthcare & life sciences (for instance: BGI), manufacturing & process industries (Shenzhen HCC Technology Co., Ltd.), among others’.
Growth Factors:
- Increasing demand for cognitive computing from various industry verticals
- Growing number of big data projects across different industry sectors
- Proliferation of cloud-based services and platforms that support cognitive computing applications
- Emergence of new business models and technologies that are based on cognitive computing principles
- Rapid increase in the number of AI experts and developers who are proficient in building cognitive computing applications
Scope Of The Report
Report Attributes
Report Details
Report Title
Cognitive Computing Market Research Report
By Type
Natural Language Processing (NLP), Machine Learning, Automated Reasoning, Others Technologies
By Application
SMBs, Large Enterprises
By Companies
Google, IBM, Microsoft, Palantir, Saffron Technology, Cold Light, Cognitive Scale, Enterra Solutions, Numenta, Vicarious
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
141
Number of Tables & Figures
99
Customization Available
Yes, the report can be customized as per your need.
Global Cognitive Computing Market Report Segments:
The global Cognitive Computing market is segmented on the basis of:
Types
Natural Language Processing (NLP), Machine Learning, Automated Reasoning, Others Technologies
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
SMBs, Large Enterprises
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:
- Google
- IBM
- Microsoft
- Palantir
- Saffron Technology
- Cold Light
- Cognitive Scale
- Enterra Solutions
- Numenta
- Vicarious
Highlights of The Cognitive Computing 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:
- Natural Language Processing (NLP)
- Machine Learning
- Automated Reasoning
- Others Technologies
- By Application:
- SMBs
- Large Enterprises
- 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 Computing 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?
Cognitive computing is a field of computer science and engineering that deals with the design, development, and application of intelligent algorithms for solving problems.
Some of the major players in the cognitive computing market are Google, IBM, Microsoft, Palantir, Saffron Technology, Cold Light, Cognitive Scale, Enterra Solutions, Numenta, Vicarious.
The cognitive computing market is expected to grow at a compound annual growth rate of 27.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Cognitive Computing 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 Computing Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Cognitive Computing 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 Computing 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 Computing Market Size & Forecast, 2020-2028
4.5.1 Cognitive Computing Market Size and Y-o-Y Growth
4.5.2 Cognitive Computing Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Natural Language Processing (NLP)
5.2.2 Machine Learning
5.2.3 Automated Reasoning
5.2.4 Others Technologies
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 SMBs
6.2.2 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Cognitive Computing 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 Computing 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Natural Language Processing (NLP)
9.6.2 Machine Learning
9.6.3 Automated Reasoning
9.6.4 Others Technologies
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 Market Size Forecast by Applications
9.10.1 SMBs
9.10.2 Large Enterprises
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Natural Language Processing (NLP)
10.6.2 Machine Learning
10.6.3 Automated Reasoning
10.6.4 Others Technologies
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 Market Size Forecast by Applications
10.10.1 SMBs
10.10.2 Large Enterprises
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Natural Language Processing (NLP)
11.6.2 Machine Learning
11.6.3 Automated Reasoning
11.6.4 Others Technologies
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 Market Size Forecast by Applications
11.10.1 SMBs
11.10.2 Large Enterprises
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Natural Language Processing (NLP)
12.6.2 Machine Learning
12.6.3 Automated Reasoning
12.6.4 Others Technologies
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 Market Size Forecast by Applications
12.10.1 SMBs
12.10.2 Large Enterprises
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Natural Language Processing (NLP)
13.6.2 Machine Learning
13.6.3 Automated Reasoning
13.6.4 Others Technologies
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) Market Size Forecast by Applications
13.10.1 SMBs
13.10.2 Large Enterprises
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 Computing Market: Competitive Dashboard
14.2 Global Cognitive Computing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Google
14.3.2 IBM
14.3.3 Microsoft
14.3.4 Palantir
14.3.5 Saffron Technology
14.3.6 Cold Light
14.3.7 Cognitive Scale
14.3.8 Enterra Solutions
14.3.9 Numenta
14.3.10 Vicarious
