Cognitive Computing Market Forecast, Trends, Scope by 2031
The Cognitive Computing Market is expected to register a CAGR of 29.4% from 2024 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.
The report is segmented by Technology (Machine Learning, Automated Reasoning, Natural Language Processing (NLP), Deep Learning); Deployment (On-Premises, Cloud); Enterprise Size (Small and Medium Enterprise, Large Enterprise); Application (Banking Financial services and Insurance (BFSI), Retail, Education and Research, Media and Entertainment, Healthcare, IT and Telecommunication, Others); Component (Platform, Services). The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments
Purpose of the ReportThe report Cognitive Computing Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Cognitive Computing Market Segmentation
Technology- Machine Learning
- Automated Reasoning
- Natural Language Processing
- Deep Learning
- On-Premises
- Cloud
- Small and Medium Enterprise
- Large Enterprise
- Banking Financial services and Insurance
- Retail
- Education and Research
- Media and Entertainment
- Healthcare
- IT and Telecommunication
- Others
- Platform
- Services
Strategic Insights
Cognitive Computing Market Growth Drivers- Advancements in Artificial Intelligence Technologies: Rapid advancements in artificial intelligence (AI) technologies are a primary driver of the cognitive computing market. Innovations in machine learning, natural language processing, and neural networks have expanded the capabilities of cognitive systems, enabling them to process vast amounts of data, learn from experiences, and understand human language. As organizations seek to leverage AI for enhanced decision-making, customer engagement, and operational efficiency, the demand for cognitive computing solutions continues to grow, driving market expansion.
- Increasing Volume of Data: The exponential growth of data generated across industries is a significant driver of the cognitive computing market. Organizations are inundated with structured and unstructured data from various sources, including social media, sensors, and enterprise systems. Cognitive computing systems can analyze and derive insights from this massive data volume, helping businesses make informed decisions and identify emerging trends. As data continues to proliferate, the need for robust cognitive computing solutions becomes essential for organizations seeking a competitive edge.
- Focus on Enhanced Customer Experience: Improving customer experience has become a priority for businesses, driving the adoption of cognitive computing technologies. Organizations are leveraging cognitive systems to understand customer behavior, personalize interactions, and provide timely support. By utilizing cognitive computing tools, businesses can analyze customer data in real-time, anticipate needs, and deliver tailored solutions, leading to increased customer satisfaction and loyalty. This focus on enhancing customer experience is propelling the growth of the cognitive computing market.
- Growing Adoption of Cloud-Based Solutions: A notable trend in the cognitive computing market is the growing adoption of cloud-based solutions. Organizations are increasingly turning to cloud computing to access cognitive computing capabilities without significant upfront investments in infrastructure. Cloud-based cognitive services offer scalability, flexibility, and cost-effectiveness, making them attractive to businesses of all sizes. This trend enables organizations to leverage cognitive computing technologies more easily, accelerating their digital transformation initiatives.
- Emphasis on Ethical AI and Transparency: As cognitive computing systems become more integrated into decision-making processes, there is a rising emphasis on ethical AI and transparency. Stakeholders are increasingly concerned about the biases and ethical implications of AI-driven decisions. Consequently, organizations are prioritizing the development of transparent cognitive systems that provide explainable outputs and adhere to ethical guidelines. This trend is shaping the cognitive computing market, as companies strive to build trust and accountability in their AI applications, ensuring responsible use of technology.
- Integration Cognitive Computing with IoT Technologies: The integration of cognitive computing with Internet of Things (IoT) technologies presents a significant opportunity for market growth. As IoT devices proliferate and generate vast amounts of data, cognitive computing systems can analyze this data to provide actionable insights and improve decision-making processes. Industries such as manufacturing, healthcare, and smart cities can benefit from the combination of cognitive computing and IoT, enabling predictive maintenance, real-time monitoring, and optimized resource allocation. This synergy opens new avenues for innovation and application development.
- Expansion in Healthcare Sector: The healthcare sector offers substantial opportunities for cognitive computing solutions. With the increasing complexity of healthcare data, cognitive computing can assist in diagnosing diseases, personalizing treatment plans, and improving patient outcomes. By analyzing medical records, clinical data, and research articles, cognitive systems can support healthcare professionals in making informed decisions and enhancing care delivery. As healthcare organizations seek to leverage technology for improved efficiency and outcomes, the demand for cognitive computing solutions is expected to rise.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Cognitive Computing Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Cognitive Computing Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
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Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
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North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
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Some of the customization options available based on the request are an additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
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Cloud-based cognitive services to play a significant role in the global cognitive computing market in the coming years
AI and ML adoption and expansive big data are the major factors driving the cognitive computing market
The Cognitive Computing Market is estimated to witness a CAGR of 29.4% from 2023 to 2031
TABLE OF CONTENTS
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Cognitive Computing Market - By Technology
1.3.2 Cognitive Computing Market - By Deployment
1.3.3 Cognitive Computing Market - By Enterprise Size
1.3.4 Cognitive Computing Market - By Application
1.3.5 Cognitive Computing Market - By Component
1.3.6 Cognitive Computing Market - By Region
1.3.6.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. COGNITIVE COMPUTING MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. COGNITIVE COMPUTING MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. COGNITIVE COMPUTING MARKET - GLOBAL MARKET ANALYSIS
6.1. COGNITIVE COMPUTING - GLOBAL MARKET OVERVIEW
6.2. COGNITIVE COMPUTING - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. COGNITIVE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - TECHNOLOGY
7.1. OVERVIEW
7.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
7.3. MACHINE LEARNING
7.3.1. Overview
7.3.2. Machine Learning Market Forecast and Analysis
7.4. AUTOMATED REASONING
7.4.1. Overview
7.4.2. Automated Reasoning Market Forecast and Analysis
7.5. NATURAL LANGUAGE PROCESSING (NLP)
7.5.1. Overview
7.5.2. Natural Language Processing (NLP) Market Forecast and Analysis
7.6. DEEP LEARNING
7.6.1. Overview
7.6.2. Deep Learning Market Forecast and Analysis
8. COGNITIVE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT
8.1. OVERVIEW
8.2. DEPLOYMENT MARKET FORECASTS AND ANALYSIS
8.3. ON-PREMISES
8.3.1. Overview
8.3.2. On-Premises Market Forecast and Analysis
8.4. CLOUD
8.4.1. Overview
8.4.2. Cloud Market Forecast and Analysis
9. COGNITIVE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - ENTERPRISE SIZE
9.1. OVERVIEW
9.2. ENTERPRISE SIZE MARKET FORECASTS AND ANALYSIS
9.3. SMALL AND MEDIUM ENTERPRISE
9.3.1. Overview
9.3.2. Small and Medium Enterprise Market Forecast and Analysis
9.4. LARGE ENTERPRISE
9.4.1. Overview
9.4.2. Large Enterprise Market Forecast and Analysis
10. COGNITIVE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
10.1. OVERVIEW
10.2. APPLICATION MARKET FORECASTS AND ANALYSIS
10.3. BANKING FINANCIAL SERVICES AND INSURANCE (BFSI)
10.3.1. Overview
10.3.2. Banking Financial services and Insurance (BFSI) Market Forecast and Analysis
10.4. RETAIL
10.4.1. Overview
10.4.2. Retail Market Forecast and Analysis
10.5. EDUCATION AND RESEARCH
10.5.1. Overview
10.5.2. Education and Research Market Forecast and Analysis
10.6. MEDIA AND ENTERTAINMENT
10.6.1. Overview
10.6.2. Media and Entertainment Market Forecast and Analysis
10.7. HEALTHCARE
10.7.1. Overview
10.7.2. Healthcare Market Forecast and Analysis
10.8. IT AND TELECOMMUNICATION
10.8.1. Overview
10.8.2. IT and Telecommunication Market Forecast and Analysis
10.9. OTHERS
10.9.1. Overview
10.9.2. Others Market Forecast and Analysis
11. COGNITIVE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
11.1. OVERVIEW
11.2. COMPONENT MARKET FORECASTS AND ANALYSIS
11.3. PLATFORM
11.3.1. Overview
11.3.2. Platform Market Forecast and Analysis
11.4. SERVICES
11.4.1. Overview
11.4.2. Services Market Forecast and Analysis
12. COGNITIVE COMPUTING MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
12.1. NORTH AMERICA
12.1.1 North America Cognitive Computing Market Overview
12.1.2 North America Cognitive Computing Market Forecasts and Analysis
12.1.3 North America Cognitive Computing Market Forecasts and Analysis - By Technology
12.1.4 North America Cognitive Computing Market Forecasts and Analysis - By Deployment
12.1.5 North America Cognitive Computing Market Forecasts and Analysis - By Enterprise Size
12.1.6 North America Cognitive Computing Market Forecasts and Analysis - By Application
12.1.7 North America Cognitive Computing Market Forecasts and Analysis - By Component
12.1.8 North America Cognitive Computing Market Forecasts and Analysis - By Countries
12.1.8.1 United States Cognitive Computing Market
12.1.8.1.1 United States Cognitive Computing Market by Technology
12.1.8.1.2 United States Cognitive Computing Market by Deployment
12.1.8.1.3 United States Cognitive Computing Market by Enterprise Size
12.1.8.1.4 United States Cognitive Computing Market by Application
12.1.8.1.5 United States Cognitive Computing Market by Component
12.1.8.2 Canada Cognitive Computing Market
12.1.8.2.1 Canada Cognitive Computing Market by Technology
12.1.8.2.2 Canada Cognitive Computing Market by Deployment
12.1.8.2.3 Canada Cognitive Computing Market by Enterprise Size
12.1.8.2.4 Canada Cognitive Computing Market by Application
12.1.8.2.5 Canada Cognitive Computing Market by Component
12.1.8.3 Mexico Cognitive Computing Market
12.1.8.3.1 Mexico Cognitive Computing Market by Technology
12.1.8.3.2 Mexico Cognitive Computing Market by Deployment
12.1.8.3.3 Mexico Cognitive Computing Market by Enterprise Size
12.1.8.3.4 Mexico Cognitive Computing Market by Application
12.1.8.3.5 Mexico Cognitive Computing Market by Component
12.2. EUROPE
12.2.1 Europe Cognitive Computing Market Overview
12.2.2 Europe Cognitive Computing Market Forecasts and Analysis
12.2.3 Europe Cognitive Computing Market Forecasts and Analysis - By Technology
12.2.4 Europe Cognitive Computing Market Forecasts and Analysis - By Deployment
12.2.5 Europe Cognitive Computing Market Forecasts and Analysis - By Enterprise Size
12.2.6 Europe Cognitive Computing Market Forecasts and Analysis - By Application
12.2.7 Europe Cognitive Computing Market Forecasts and Analysis - By Component
12.2.8 Europe Cognitive Computing Market Forecasts and Analysis - By Countries
12.2.8.1 Germany Cognitive Computing Market
12.2.8.1.1 Germany Cognitive Computing Market by Technology
12.2.8.1.2 Germany Cognitive Computing Market by Deployment
12.2.8.1.3 Germany Cognitive Computing Market by Enterprise Size
12.2.8.1.4 Germany Cognitive Computing Market by Application
12.2.8.1.5 Germany Cognitive Computing Market by Component
12.2.8.2 France Cognitive Computing Market
12.2.8.2.1 France Cognitive Computing Market by Technology
12.2.8.2.2 France Cognitive Computing Market by Deployment
12.2.8.2.3 France Cognitive Computing Market by Enterprise Size
12.2.8.2.4 France Cognitive Computing Market by Application
12.2.8.2.5 France Cognitive Computing Market by Component
12.2.8.3 Italy Cognitive Computing Market
12.2.8.3.1 Italy Cognitive Computing Market by Technology
12.2.8.3.2 Italy Cognitive Computing Market by Deployment
12.2.8.3.3 Italy Cognitive Computing Market by Enterprise Size
12.2.8.3.4 Italy Cognitive Computing Market by Application
12.2.8.3.5 Italy Cognitive Computing Market by Component
12.2.8.4 United Kingdom Cognitive Computing Market
12.2.8.4.1 United Kingdom Cognitive Computing Market by Technology
12.2.8.4.2 United Kingdom Cognitive Computing Market by Deployment
12.2.8.4.3 United Kingdom Cognitive Computing Market by Enterprise Size
12.2.8.4.4 United Kingdom Cognitive Computing Market by Application
12.2.8.4.5 United Kingdom Cognitive Computing Market by Component
12.2.8.5 Russia Cognitive Computing Market
12.2.8.5.1 Russia Cognitive Computing Market by Technology
12.2.8.5.2 Russia Cognitive Computing Market by Deployment
12.2.8.5.3 Russia Cognitive Computing Market by Enterprise Size
12.2.8.5.4 Russia Cognitive Computing Market by Application
12.2.8.5.5 Russia Cognitive Computing Market by Component
12.2.8.6 Rest of Europe Cognitive Computing Market
12.2.8.6.1 Rest of Europe Cognitive Computing Market by Technology
12.2.8.6.2 Rest of Europe Cognitive Computing Market by Deployment
12.2.8.6.3 Rest of Europe Cognitive Computing Market by Enterprise Size
12.2.8.6.4 Rest of Europe Cognitive Computing Market by Application
12.2.8.6.5 Rest of Europe Cognitive Computing Market by Component
12.3. ASIA-PACIFIC
12.3.1 Asia-Pacific Cognitive Computing Market Overview
12.3.2 Asia-Pacific Cognitive Computing Market Forecasts and Analysis
12.3.3 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Technology
12.3.4 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Deployment
12.3.5 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Enterprise Size
12.3.6 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Application
12.3.7 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Component
12.3.8 Asia-Pacific Cognitive Computing Market Forecasts and Analysis - By Countries
12.3.8.1 Australia Cognitive Computing Market
12.3.8.1.1 Australia Cognitive Computing Market by Technology
12.3.8.1.2 Australia Cognitive Computing Market by Deployment
12.3.8.1.3 Australia Cognitive Computing Market by Enterprise Size
12.3.8.1.4 Australia Cognitive Computing Market by Application
12.3.8.1.5 Australia Cognitive Computing Market by Component
12.3.8.2 China Cognitive Computing Market
12.3.8.2.1 China Cognitive Computing Market by Technology
12.3.8.2.2 China Cognitive Computing Market by Deployment
12.3.8.2.3 China Cognitive Computing Market by Enterprise Size
12.3.8.2.4 China Cognitive Computing Market by Application
12.3.8.2.5 China Cognitive Computing Market by Component
12.3.8.3 India Cognitive Computing Market
12.3.8.3.1 India Cognitive Computing Market by Technology
12.3.8.3.2 India Cognitive Computing Market by Deployment
12.3.8.3.3 India Cognitive Computing Market by Enterprise Size
12.3.8.3.4 India Cognitive Computing Market by Application
12.3.8.3.5 India Cognitive Computing Market by Component
12.3.8.4 Japan Cognitive Computing Market
12.3.8.4.1 Japan Cognitive Computing Market by Technology
12.3.8.4.2 Japan Cognitive Computing Market by Deployment
12.3.8.4.3 Japan Cognitive Computing Market by Enterprise Size
12.3.8.4.4 Japan Cognitive Computing Market by Application
12.3.8.4.5 Japan Cognitive Computing Market by Component
12.3.8.5 South Korea Cognitive Computing Market
12.3.8.5.1 South Korea Cognitive Computing Market by Technology
12.3.8.5.2 South Korea Cognitive Computing Market by Deployment
12.3.8.5.3 South Korea Cognitive Computing Market by Enterprise Size
12.3.8.5.4 South Korea Cognitive Computing Market by Application
12.3.8.5.5 South Korea Cognitive Computing Market by Component
12.3.8.6 Rest of Asia-Pacific Cognitive Computing Market
12.3.8.6.1 Rest of Asia-Pacific Cognitive Computing Market by Technology
12.3.8.6.2 Rest of Asia-Pacific Cognitive Computing Market by Deployment
12.3.8.6.3 Rest of Asia-Pacific Cognitive Computing Market by Enterprise Size
12.3.8.6.4 Rest of Asia-Pacific Cognitive Computing Market by Application
12.3.8.6.5 Rest of Asia-Pacific Cognitive Computing Market by Component
12.4. MIDDLE EAST AND AFRICA
12.4.1 Middle East and Africa Cognitive Computing Market Overview
12.4.2 Middle East and Africa Cognitive Computing Market Forecasts and Analysis
12.4.3 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Technology
12.4.4 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Deployment
12.4.5 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Enterprise Size
12.4.6 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Application
12.4.7 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Component
12.4.8 Middle East and Africa Cognitive Computing Market Forecasts and Analysis - By Countries
12.4.8.1 South Africa Cognitive Computing Market
12.4.8.1.1 South Africa Cognitive Computing Market by Technology
12.4.8.1.2 South Africa Cognitive Computing Market by Deployment
12.4.8.1.3 South Africa Cognitive Computing Market by Enterprise Size
12.4.8.1.4 South Africa Cognitive Computing Market by Application
12.4.8.1.5 South Africa Cognitive Computing Market by Component
12.4.8.2 Saudi Arabia Cognitive Computing Market
12.4.8.2.1 Saudi Arabia Cognitive Computing Market by Technology
12.4.8.2.2 Saudi Arabia Cognitive Computing Market by Deployment
12.4.8.2.3 Saudi Arabia Cognitive Computing Market by Enterprise Size
12.4.8.2.4 Saudi Arabia Cognitive Computing Market by Application
12.4.8.2.5 Saudi Arabia Cognitive Computing Market by Component
12.4.8.3 U.A.E Cognitive Computing Market
12.4.8.3.1 U.A.E Cognitive Computing Market by Technology
12.4.8.3.2 U.A.E Cognitive Computing Market by Deployment
12.4.8.3.3 U.A.E Cognitive Computing Market by Enterprise Size
12.4.8.3.4 U.A.E Cognitive Computing Market by Application
12.4.8.3.5 U.A.E Cognitive Computing Market by Component
12.4.8.4 Rest of Middle East and Africa Cognitive Computing Market
12.4.8.4.1 Rest of Middle East and Africa Cognitive Computing Market by Technology
12.4.8.4.2 Rest of Middle East and Africa Cognitive Computing Market by Deployment
12.4.8.4.3 Rest of Middle East and Africa Cognitive Computing Market by Enterprise Size
12.4.8.4.4 Rest of Middle East and Africa Cognitive Computing Market by Application
12.4.8.4.5 Rest of Middle East and Africa Cognitive Computing Market by Component
12.5. SOUTH AND CENTRAL AMERICA
12.5.1 South and Central America Cognitive Computing Market Overview
12.5.2 South and Central America Cognitive Computing Market Forecasts and Analysis
12.5.3 South and Central America Cognitive Computing Market Forecasts and Analysis - By Technology
12.5.4 South and Central America Cognitive Computing Market Forecasts and Analysis - By Deployment
12.5.5 South and Central America Cognitive Computing Market Forecasts and Analysis - By Enterprise Size
12.5.6 South and Central America Cognitive Computing Market Forecasts and Analysis - By Application
12.5.7 South and Central America Cognitive Computing Market Forecasts and Analysis - By Component
12.5.8 South and Central America Cognitive Computing Market Forecasts and Analysis - By Countries
12.5.8.1 Brazil Cognitive Computing Market
12.5.8.1.1 Brazil Cognitive Computing Market by Technology
12.5.8.1.2 Brazil Cognitive Computing Market by Deployment
12.5.8.1.3 Brazil Cognitive Computing Market by Enterprise Size
12.5.8.1.4 Brazil Cognitive Computing Market by Application
12.5.8.1.5 Brazil Cognitive Computing Market by Component
12.5.8.2 Argentina Cognitive Computing Market
12.5.8.2.1 Argentina Cognitive Computing Market by Technology
12.5.8.2.2 Argentina Cognitive Computing Market by Deployment
12.5.8.2.3 Argentina Cognitive Computing Market by Enterprise Size
12.5.8.2.4 Argentina Cognitive Computing Market by Application
12.5.8.2.5 Argentina Cognitive Computing Market by Component
12.5.8.3 Rest of South and Central America Cognitive Computing Market
12.5.8.3.1 Rest of South and Central America Cognitive Computing Market by Technology
12.5.8.3.2 Rest of South and Central America Cognitive Computing Market by Deployment
12.5.8.3.3 Rest of South and Central America Cognitive Computing Market by Enterprise Size
12.5.8.3.4 Rest of South and Central America Cognitive Computing Market by Application
12.5.8.3.5 Rest of South and Central America Cognitive Computing Market by Component
13. INDUSTRY LANDSCAPE
13.1. MERGERS AND ACQUISITIONS
13.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
13.3. NEW PRODUCT LAUNCHES
13.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
14. COGNITIVE COMPUTING MARKET, KEY COMPANY PROFILES
14.1. AMAZON WEB SERVICES, INC.
14.1.1. Key Facts
14.1.2. Business Description
14.1.3. Products and Services
14.1.4. Financial Overview
14.1.5. SWOT Analysis
14.1.6. Key Developments
14.2. COGNITIVESCALE, INC.
14.2.1. Key Facts
14.2.2. Business Description
14.2.3. Products and Services
14.2.4. Financial Overview
14.2.5. SWOT Analysis
14.2.6. Key Developments
14.3. ENTERRA SOLUTIONS LLC
14.3.1. Key Facts
14.3.2. Business Description
14.3.3. Products and Services
14.3.4. Financial Overview
14.3.5. SWOT Analysis
14.3.6. Key Developments
14.4. IBM
14.4.1. Key Facts
14.4.2. Business Description
14.4.3. Products and Services
14.4.4. Financial Overview
14.4.5. SWOT Analysis
14.4.6. Key Developments
14.5. MICROSOFT
14.5.1. Key Facts
14.5.2. Business Description
14.5.3. Products and Services
14.5.4. Financial Overview
14.5.5. SWOT Analysis
14.5.6. Key Developments
14.6. NUMENTA
14.6.1. Key Facts
14.6.2. Business Description
14.6.3. Products and Services
14.6.4. Financial Overview
14.6.5. SWOT Analysis
14.6.6. Key Developments
14.7. ORACLE
14.7.1. Key Facts
14.7.2. Business Description
14.7.3. Products and Services
14.7.4. Financial Overview
14.7.5. SWOT Analysis
14.7.6. Key Developments
14.8. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
14.8.1. Key Facts
14.8.2. Business Description
14.8.3. Products and Services
14.8.4. Financial Overview
14.8.5. SWOT Analysis
14.8.6. Key Developments
14.9. SAP SE
14.9.1. Key Facts
14.9.2. Business Description
14.9.3. Products and Services
14.9.4. Financial Overview
14.9.5. SWOT Analysis
14.9.6. Key Developments
14.10. SAS INTITUTE INC.
14.10.1. Key Facts
14.10.2. Business Description
14.10.3. Products and Services
14.10.4. Financial Overview
14.10.5. SWOT Analysis
14.10.6. Key Developments
15. APPENDIX
15.1. ABOUT THE INSIGHT PARTNERS
15.2. GLOSSARY OF TERMS
The List of Companies
1. Amazon Web Services, Inc.
2. CognitiveScale, Inc.
3. Enterra Solutions LLC
4. IBM
5. Microsoft
6. Numenta
7. Oracle
8. Hewlett Packard Enterprise Development LP
9. SAP SE
10. SAS Intitute Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.