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Report Scope & Overview:

The Cognitive Computing Market was worth USD 32.18 billion in 2022 and is predicted to grow to USD 225.29 billion by 2030, increasing at a 27.54% CAGR between 2023 and 2030.

The Cognitive Computing Market is a rapidly growing sector that encompasses various technologies and applications aimed at mimicking human intelligence. This market is driven by the increasing demand for advanced analytics, machine learning, and natural language processing capabilities. Cognitive computing systems are designed to process vast amounts of data, learn from it, and make informed decisions without explicit programming. These systems utilize various techniques such as data mining, pattern recognition, and neural networks to analyze complex data sets and provide valuable insights. One of the key drivers of the cognitive computing market is the need for organizations to extract meaningful information from the ever-increasing volume of data. With the advent of big data, traditional computing systems have become inadequate in handling the complexity and scale of data. Cognitive computing systems, on the other hand, excel in processing unstructured data, such as text, images, and videos, enabling organizations to gain valuable insights and make data-driven decisions. The increasing use of artificial intelligence (AI) and machine learning technologies in a variety of sectors is driving up demand for cognitive computing solutions. Industries such as healthcare, finance, retail, and manufacturing are leveraging cognitive computing to enhance customer experience, optimize operations, and improve decision-making processes. collaborations and partnerships with technology providers and academic institutions are being formed to foster innovation and knowledge sharing. the cognitive computing market is witnessing significant growth due to the increasing demand for advanced analytics and machine learning capabilities.

Cognitive Computing Market Revenue Analysis

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Market Dynamics

Drivers

  • The growth of cognitive computing solutions is expected to be driven by the rising adoption of artificial intelligence and integrated cloud platforms.

  • Growing need for cognitive computing in predictive analytics to reduce company operational costs.

The increasing use of artificial intelligence (AI) and machine learning technologies in a variety of sectors is driving up demand for cognitive computing solutions. Industries such as healthcare, finance, retail, and manufacturing are leveraging cognitive computing to enhance customer experience, optimize operations, and improve decision-making processes.

Restrains

  • The high costs involved in the first stage are proving to be an impediment to market growth.

  • The complexity of implementing cognitive computing systems.

  • The lack of skilled professionals

To produce cognitive solutions, a significant upfront investment in maintenance architecture and infrastructure is necessary, which results in high ongoing expenses. The operating and setup procedure is substantially more difficult and time-consuming. This procedure uses a lot of electricity, network components, data centers, and other resources. Concerns regarding government standards and the uncertainty surrounding regulatory compliance are anticipated to impede the growth of the cognitive computing industry. The market is expected to face a number of hurdles as a result of SMEs' lack of knowledge.

Opportunities

  • Increasing the demand for Cognitive Computing in the healthcare and retail sectors.

  • Raising investments in R&D activities for cognitive computing by market players.

Challenges

  • The market's growth is projected to be hampered by a lack of understanding about cognitive computing.

  • Data security issues continue to be an important barrier to the cognitive computing industry.

The Russia-Ukraine war

During times of conflict, governments often prioritize defense and security spending over other areas. Financial resources that would have otherwise been allocated to research, development, and innovation in cognitive computing may be diverted to military efforts. This diversion of funds could impact the growth and development of the Cognitive Computing market in both Russia and Ukraine. Armed conflicts can create negative perceptions and reduce investor confidence in the affected regions. The Cognitive Computing market relies on attracting investment for research, development, and commercialization. If investors perceive higher risks or instability due to the conflict, they may hesitate to invest, potentially affecting the market's growth and innovation potential. The conflict between Russia and Ukraine may result in international trade tensions and the imposition of economic sanctions by various countries. These trade restrictions can limit the flow of cognitive computing technologies, including software, hardware, and services, between the two countries and the broader global market. Such restrictions can hinder market growth and limit access to international collaboration and expertise. In times of conflict, research and development priorities may shift to areas directly related to defense and security. This redirection of resources can impact the overall investment and focus on cognitive computing research, potentially slowing down technological advancements and innovation in the field.

Impact of Recessions

During a recession, businesses often tighten their budgets and cut back on discretionary spending, including investments in new technologies, businesses may delay or cancel projects that are not considered essential for their immediate survival or core operations. Cognitive computing initiatives, which are often long-term and require significant investment, could be put on hold or scrapped altogether, leading to a slowdown in market growth. Certain industries, such as retail, hospitality, and travel, are particularly susceptible to economic downturns. These industries may reduce or halt their adoption of cognitive computing technologies due to financial constraints. This reduction in demand from key sectors can have a dampening effect on the overall market growth. During a recession, businesses tend to prioritize cost-effective solutions that deliver tangible value and quick returns on investment. Cognitive computing vendors that can demonstrate clear cost savings, efficiency improvements, or revenue generation capabilities are more likely to withstand the downturn and attract customers. This may lead to a shift in the market towards more practical and economically viable cognitive computing solutions.

Key Market Segmentation

By Component

  • Platform

  • Services

By Enterprise Size

  • Small & Medium Enterprise (SMEs)

  • Large Enterprise

By Business Functions

By Technology

  • Machine Learning (ML)

  • Natural Language Processing (NLP)

  • Automated Reasoning

  • Others

By Deployment

  • Cloud-based

  • On-premise

By End-user

  • BFSI

  • Healthcare

  • Retail & e-commerce

  • IT & Telecom

  • Government & Defense

  • Others

Cognitive Computing Market Segmentation Analysis

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Regional Analysis

The North American region has emerged as a leader in the cognitive computing sector. This growth can be attributed to the extensive utilization of integrated cloud platforms, along with the development of innovative business models. Furthermore, robust government policies in the United States and Canada are anticipated to underscore the significance of data security, thereby accelerating the adoption of these systems throughout the region. Looking ahead, the Asia Pacific region is projected to experience the most rapid growth during the evaluation period. Several encouraging trends, including the expansion of internet penetration and the proliferation of startups in India, China, Australia, and Japan, have set a promising foundation for the region's future, the North American region has taken the lead in the cognitive computing sector, thanks to the extensive use of integrated cloud platforms and the introduction of innovative business models. Meanwhile, the Asia Pacific region is set to experience rapid growth, driven by factors such as expanding internet access and a thriving startup ecosystem. As the cognitive computing landscape continues to evolve, these regions will play a pivotal role in shaping its future.

REGIONAL COVERAGE:

North America

  • US

  • Canada

  • Mexico

Europe

  • Eastern Europe

    • Poland

    • Romania

    • Hungary

    • Turkey

    • Rest of Eastern Europe

  • Western Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Netherlands

    • Switzerland

    • Austria

    • Rest of Western Europe

Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Vietnam

  • Singapore

  • Australia

  • Rest of Asia Pacific

Middle East & Africa

  • Middle East

    • UAE

    • Egypt

    • Saudi Arabia

    • Qatar

    • Rest of Middle East

  • Africa

    • Nigeria

    • South Africa

    • Rest of Africa

Latin America

  • Brazil

  • Argentina

  • Colombia

  • Rest of Latin America

Key Players:

The major players are Oracle Corporation, Microsoft Corporation, Enterra Solutions, Statistical Analysis System (SAS), Google, Vicarious, HP Development Company, L.P., CognitiveScale, IBM, Nuance Communications Inc., Numenta, Palantir, PTC, Saffron Technology, SAP, Tibco Software, and others in the final report.

Statistical Analysis System (SAS)-Company Financial Analysis

Recent Developments:

Microsoft, a global technology business located in the United States, released a new service in cognitive computing solution called Microsoft Cognitive Service in November 2021. The organization has incorporated artificial intelligence (AI) capabilities to automate and accelerate the data scanning process. Microsoft Cognitive Service claims to secure its clients' information. In order to improve its dataset diligence tool, Microsoft Azure Cognitive Service for language and translation has also been incorporated.

Cognitive Computing Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 32.18 Bn
Market Size by 2030  US$ 225.29 Bn
CAGR   CAGR of 27.54 % From 2023 to 2030
Base Year 2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Platform, Services)
• By Enterprise Size (Small & Medium Enterprise (SMEs), Large Enterprise)
• By Business Functions (Human Resources (HR), Legal, Finance, Marketing, and Advertising)
• By Technology (Machine Learning (ML), Natural Language Processing (NLP), Automated Reasoning, Others)
• By Deployment (Cloud-based, On-premise)
• By End-user (BFSI, Healthcare, Retail & e-commerce, IT & Telecom, Government & Defense, Others)
Regional Analysis/Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America)
Company Profiles Oracle Corporation, Microsoft Corporation, Enterra Solutions, Statistical Analysis System (SAS), Google, Vicarious, HP Development Company, L.P., CognitiveScale, IBM, Nuance Communications Inc., Numenta, Palantir, PTC, Saffron Technology, SAP, Tibco Software
Key Drivers • The growth of cognitive computing solutions is expected to be driven by the rising adoption of artificial intelligence and integrated cloud platforms.
• Growing need for cognitive computing in predictive analytics to reduce company operational costs.
Market Restraints • The high costs involved in the first stage are proving to be an impediment to market growth.
• Complexity of implementing cognitive computing systems.
• The lack of skilled professionals

 

Frequently Asked Questions

Ans: The Cognitive Computing Market is to Grow at a CAGR of 27.54 % Over the Forecast Period 2023-2030.

Ans. The North American region is dominating the Cognitive Computing Market with a 39.01% share.

Ans:  The Cognitive Computing Market size was valued at USD 32.18 Bn in 2022.

Ans:

• The growth of cognitive computing solutions is expected to be driven by the rising adoption of artificial intelligence and integrated cloud platforms.

• Growing need for cognitive computing in predictive analytics to reduce company operational costs

Ans: There are three options available to purchase this report,

A. Single User License USD 4650

Features: A non-printable PDF to be accessed by just one user at a time

1.         No Excel would be delivered along with the PDF

2.         1 complimentary analyst briefing session of 30 minutes to be provided post-purchase and delivery of the study

3.         1 complimentary update to be provided after 6 months of purchase

4.         Additional 80 analyst hours of free customization to add extra slices of information that might be missing from the study

B. Enterprise User License: USD 6,450

Features:

1.         A printable/ sharable and downloadable PDF

2.         No limit over the number of users

3.         An Excel spreadsheet would be delivered along with the PDF

4.         2 complimentary analyst briefing sessions of 30 minutes each to be provided post-purchase and delivery of the study

5.         2 complimentary updates to be provided within 1 year of purchase

6.         Additional 100 analyst hours of free customization to add extra slices of information that might be missing from the study.

C: Excel Datasheet: USD 2,325

1.  ME sheet is provided in Excel format.

2.         1 complimentary analyst briefing session of 30 minutes to be provided post purchase and delivery of the study

Table of Contents

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Cognitive Computing Market Segmentation, By Component
8.1 Platform
8.2 Services

9. Cognitive Computing Market Segmentation, By Enterprise Size
9.1 Small & Medium Enterprise (SMEs)
9.2 Large Enterprise

10. Cognitive Computing Market Segmentation, By Business Functions
10.1 Human Resources (HR)
10.2 Legal
10.3 Finance
10.4 Marketing and Advertising

11. Cognitive Computing Market Segmentation, By Technology
11.1 Machine Learning (ML)
11.2 Natural Language Processing (NLP)
11.3 Automated Reasoning
11.4 Others

12. Cognitive Computing Market Segmentation, By Deployment
12.1 Cloud-based
12.2 On-premise

13. Cognitive Computing Market Segmentation, By End-user
13.1 BFSI
13.2 Healthcare
13.3 Retail & E-commerce
13.4 IT & Telecom
13.5 Government & Defense
13.6 Others

14 Regional Analysis
14.1 Introduction
14.2 North America
14.2.1 North America Cognitive Computing Market By Country
14.2.2 North America Cognitive Computing Market By Component
14.2.3 North America Cognitive Computing Market By Enterprise Size
14.2.4 North America Cognitive Computing Market By Business Functions
14.2.5 North America Cognitive Computing Market By Technology
14.2.6 North America Cognitive Computing Market By Deployment
14.2.7 North America Cognitive Computing Market By End-user
14.2.8 USA
14.2.8.1 USA Cognitive Computing Market By Component
14.2.8.2 USA Cognitive Computing Market By Enterprise Size
14.2.8.3 USA Cognitive Computing Market By Business Functions
14.2.8.4 USA Cognitive Computing Market By Technology
14.2.8.5 USA Cognitive Computing Market By Deployment
14.2.8.6 USA Cognitive Computing Market By End-user
14.2.9 Canada
14.2.9.1 Canada Cognitive Computing Market By Component
14.2.9.2 Canada Cognitive Computing Market By Enterprise Size
14.2.9.3 Canada Cognitive Computing Market By Business Functions
14.2.9.4 Canada Cognitive Computing Market By Technology
14.2.9.5 Canada Cognitive Computing Market By Deployment
14.2.9.6 Canada Cognitive Computing Market By End-user
14.2.10 Mexico
14.2.10.1 Mexico Cognitive Computing Market By Component
14.2.10.2 Mexico Cognitive Computing Market By Enterprise Size
14.2.10.3 Mexico Cognitive Computing Market By Business Functions
14.2.10.4 Mexico Cognitive Computing Market By Technology
14.2.10.5 Mexico Cognitive Computing Market By Deployment
14.2.10.6 Mexico Cognitive Computing Market By End-user
14.3 Europe
14.3.1 Eastern Europe
14.3.1.1 Eastern Europe Cognitive Computing Market By Country
14.3.1.2 Eastern Europe Cognitive Computing Market By Component
14.3.1.3 Eastern Europe Cognitive Computing Market By Enterprise Size
14.3.1.4 Eastern Europe Cognitive Computing Market By Business Functions
14.3.1.5 Eastern Europe Cognitive Computing Market By Technology
14.3.1.6 Eastern Europe Cognitive Computing Market By Deployment
14.3.1.7 Eastern Europe Cognitive Computing Market By End-user
13.3.1.8 Poland
14.3.1.8.1 Poland Cognitive Computing Market By Component
14.3.1.8.2 Poland Cognitive Computing Market By Enterprise Size
14.3.1.8.3 Poland Cognitive Computing Market By Business Functions
14.3.1.8.4 Poland Cognitive Computing Market By Technology
14.3.1.8.5 Poland Cognitive Computing Market By Deployment
14.3.1.8.6 Poland Cognitive Computing Market By End-user
14.3.1.9 Romania
14.3.1.9.1 Romania Cognitive Computing Market By Component
14.3.1.9.2 Romania Cognitive Computing Market By Enterprise Size
14.3.1.9.3 Romania Cognitive Computing Market By Business Functions
14.3.1.9.4 Romania Cognitive Computing Market By Technology
14.3.1.9.5 Romania Cognitive Computing Market By Deployment
14.3.1.9.6 Romania Cognitive Computing Market By End-user
14.3.1.10 Hungary
14.3.1.10.1 Hungary Cognitive Computing Market By Component
14.3.1.10.2 Hungary Cognitive Computing Market By Enterprise Size
14.3.1.10.3 Hungary Cognitive Computing Market By Business Functions
14.3.1.10.4 Hungary Cognitive Computing Market By Technology
14.3.1.10.5 Hungary Cognitive Computing Market By Deployment
14.3.1.10.6 Hungary Cognitive Computing Market By End-user
14.3.1.11 Turkey
14.3.1.11.1 Turkey Cognitive Computing Market By Component
14.3.1.11.2 Turkey Cognitive Computing Market By Enterprise Size
14.3.1.11.3 Turkey Cognitive Computing Market By Business Functions
14.3.1.11.4 Turkey Cognitive Computing Market By Technology
14.3.1.11.5 Turkey Cognitive Computing Market By Deployment
14.3.1.11.6 Turkey Cognitive Computing Market By End-user
14.3.1.12 Rest of Eastern Europe
14.3.1.12.1 Rest of Eastern Europe Cognitive Computing Market By Component
14.3.1.12.2 Rest of Eastern Europe Cognitive Computing Market By Enterprise Size
14.3.1.12.3 Rest of Eastern Europe Cognitive Computing Market By Business Functions
14.3.1.12.4 Rest of Eastern Europe Cognitive Computing Market By Technology
14.3.1.12.5 Rest of Eastern Europe Cognitive Computing Market By Deployment
14.3.1.12.6 Rest of Eastern Europe Cognitive Computing Market By End-user
14.3.2 Western Europe
14.3.2.1 Western Europe Cognitive Computing Market By Country
14.3.2.2 Western Europe Cognitive Computing Market By Component
14.3.2.3 Western Europe Cognitive Computing Market By Enterprise Size
14.3.2.4 Western Europe Cognitive Computing Market By Business Functions
14.3.2.5 Western Europe Cognitive Computing Market By Technology
14.3.2.6 Western Europe Cognitive Computing Market By Deployment
14.3.2.7 Western Europe Cognitive Computing Market By End-user
14.3.2.8 Germany
14.3.2.8.1 Germany Cognitive Computing Market By Component
14.3.2.8.2 Germany Cognitive Computing Market By Enterprise Size
14.3.2.8.3 Germany Cognitive Computing Market By Business Functions
14.3.2.8.4 Germany Cognitive Computing Market By Technology
14.3.2.8.5 Germany Cognitive Computing Market By Deployment
14.3.2.8.6 Germany Cognitive Computing Market By End-user
14.3.2.9 France
14.3.2.9.1 France Cognitive Computing Market By Component
14.3.2.9.2 France Cognitive Computing Market By Enterprise Size
14.3.2.9.3 France Cognitive Computing Market By Business Functions
14.3.2.9.4 France Cognitive Computing Market By Technology
14.3.2.9.5 France Cognitive Computing Market By Deployment
14.3.2.9.6 France Cognitive Computing Market By End-user
14.3.2.10 UK
14.3.2.10.1 UK Cognitive Computing Market By Component
14.3.2.10.2 UK Cognitive Computing Market By Enterprise Size
14.3.2.10.3 UK Cognitive Computing Market By Business Functions
14.3.2.10.4 UK Cognitive Computing Market By Technology
14.3.2.10.5 UK Cognitive Computing Market By Deployment
14.3.2.10.6 UK Cognitive Computing Market By End-user
14.3.2.11 Italy
14.3.2.11.1 Italy Cognitive Computing Market By Component
14.3.2.11.2 Italy Cognitive Computing Market By Enterprise Size
14.3.2.11.3 Italy Cognitive Computing Market By Business Functions
14.3.2.11.4 Italy Cognitive Computing Market By Technology
14.3.2.11.5 Italy Cognitive Computing Market By Deployment
14.3.2.11.6 Italy Cognitive Computing Market By End-user
14.3.2.12 Spain
14.3.2.12.1 Spain Cognitive Computing Market By Component
14.3.2.12.2 Spain Cognitive Computing Market By Enterprise Size
14.3.2.12.3 Spain Cognitive Computing Market By Business Functions
14.3.2.12.4 Spain Cognitive Computing Market By Technology
14.3.2.12.5 Spain Cognitive Computing Market By Deployment
14.3.2.12.6 Spain Cognitive Computing Market By End-user
14.3.2.13 The Netherlands
14.3.2.13.1 Netherlands Cognitive Computing Market By Component
14.3.2.13.2 Netherlands Cognitive Computing Market By Enterprise Size
14.3.2.13.3 Netherlands Cognitive Computing Market By Business Functions
14.3.2.13.4 Netherlands Cognitive Computing Market By Technology
14.3.2.13.5 Netherlands Cognitive Computing Market By Deployment
14.3.2.13.6 Netherlands Cognitive Computing Market By End-user
14.3.2.14 Switzerland
14.3.2.14.1 Switzerland Cognitive Computing Market By Component
14.3.2.14.2 Switzerland Cognitive Computing Market By Enterprise Size
14.3.2.14.3 Switzerland Cognitive Computing Market By Business Functions
14.3.2.14.4 Switzerland Cognitive Computing Market By Technology
14.3.2.14.5 Switzerland Cognitive Computing Market By Deployment
14.3.2.14.6 Switzerland Cognitive Computing Market By End-user
14.3.2.15 Austria
14.3.2.15.1 Austria Cognitive Computing Market By Component
14.3.2.15.2 Austria Cognitive Computing Market By Enterprise Size
14.3.2.15.3 Austria Cognitive Computing Market By Business Functions
14.3.2.15.4 Austria Cognitive Computing Market By Technology
14.3.2.15.5 Austria Cognitive Computing Market By Deployment
14.3.2.15.6 Austria Cognitive Computing Market By End-user
14.3.2.16 Rest of Western Europe
14.3.2.16.1 Rest of Western Europe Cognitive Computing Market By Component
14.3.2.16.2 Rest of Western Europe Cognitive Computing Market By Enterprise Size
14.3.2.16.3 Rest of Western Europe Cognitive Computing Market By Business Functions
14.3.2.16.4 Rest of Western Europe Cognitive Computing Market By Technology
14.3.2.16.5 Rest of Western Europe Cognitive Computing Market By Deployment
14.3.2.16.5 Rest of Western Europe Cognitive Computing Market By End-user
14.4 Asia-Pacific
14.4.1 Asia Pacific Cognitive Computing Market By Country
14.4.2 Asia Pacific Cognitive Computing Market By Component
14.4.3 Asia Pacific Cognitive Computing Market By Enterprise Size
14.4.4 Asia Pacific Cognitive Computing Market By Business Functions
14.4.5 Asia Pacific Cognitive Computing Market By Technology
14.4.6 Asia Pacific Cognitive Computing Market By Deployment
14.4.7 Asia Pacific Cognitive Computing Market By End-user
14.4.8 China
14.4.8.1 China Cognitive Computing Market By Component
14.4.8.2 China Cognitive Computing Market By Enterprise Size
14.4.8.3 China Cognitive Computing Market By Business Functions
14.4.8.4 China Cognitive Computing Market By Technology
14.4.8.5 China Cognitive Computing Market By Deployment
14.4.8.6 China Cognitive Computing Market By End-user
14.4.9 India
14.4.9.1 India Cognitive Computing Market By Component
14.4.9.2 India Cognitive Computing Market By Enterprise Size
14.4.9.3 India Cognitive Computing Market By Business Functions
14.4.9.4 India Cognitive Computing Market By Technology
14.4.9.5 India Cognitive Computing Market By Deployment
14.4.9.6 India Cognitive Computing Market  By End-user
14.4.10 Japan
14.4.10.1 Japan Cognitive Computing Market By Component
14.4.10.2 Japan Cognitive Computing Market By Enterprise Size
14.4.10.3 Japan Cognitive Computing Market By Business Functions
14.4.10.4 Japan Cognitive Computing Market By Technology
14.4.10.5 Japan Cognitive Computing Market By Deployment
14.4.10.6 Japan Cognitive Computing Market By End-user
14.4.11 South Korea
14.4.11.1 South Korea Cognitive Computing Market By Component
14.4.11.2 South Korea Cognitive Computing Market By Enterprise Size
14.4.11.3 South Korea Cognitive Computing Market By Business Functions
14.4.11.4 South Korea Cognitive Computing Market By Technology
14.4.11.5 South Korea Cognitive Computing Market By Deployment
14.4.11.6 South Korea Digital Experience Platform By End-user
14.4.12 Vietnam
14.4.12.1 Vietnam Cognitive Computing Market By Component
14.4.12.2 Vietnam Cognitive Computing Market By Enterprise Size
14.4.12.3 Vietnam Cognitive Computing Market By Business Functions
14.4.12.4 Vietnam Cognitive Computing Market By Technology
14.4.12.5 Vietnam Cognitive Computing Market By Deployment
14.4.12.6 Vietnam Cognitive Computing Market By End-user
14.4.13 Singapore
14.4.13.1 Singapore Cognitive Computing Market By Component
14.4.13.2 Singapore Cognitive Computing Market By Enterprise Size
14.4.13.3 Singapore Cognitive Computing Market By Business Functions
14.4.13.4 Singapore Cognitive Computing Market By Technology
14.4.13.5 Singapore Cognitive Computing Market By Deployment
14.4.13.6 Singapore Cognitive Computing Market By End-user
14.4.14 Australia
14.4.14.1 Australia Cognitive Computing Market By Component
14.4.14.2 Australia Cognitive Computing Market By Enterprise Size
14.4.14.3 Australia Cognitive Computing Market By Business Functions
14.4.14.4 Australia Cognitive Computing Market By Technology
14.4.14.5 Australia Cognitive Computing Market By Deployment
14.4.14.6 Australia Cognitive Computing Market By End-user
14.4.15 Rest of Asia-Pacific
14.4.15.1 APAC Cognitive Computing Market By Component
14.4.15.2 APAC Cognitive Computing Market By Enterprise Size
14.4.15.3 APAC Cognitive Computing Market By Business Functions
14.4.15.4 APAC Cognitive Computing Market By Technology
14.4.15.5 APAC Cognitive Computing Market By Deployment
14.4.15.6 APAC Cognitive Computing Market By End-user
14.5 The Middle East & Africa
14.5.1 Middle East
14.5.1.1 Middle East Cognitive Computing Market By country
14.5.1.2 Middle East Cognitive Computing Market By Component
14.5.1.3 Middle East Cognitive Computing Market By Enterprise Size
14.5.1.4 Middle East Cognitive Computing Market By Business Functions
14.5.1.5 Middle East Cognitive Computing Market By Technology
14.5.1.6 Middle East Cognitive Computing Market By Deployment
14.5.1.7 Middle East Cognitive Computing Market By End-user
14.5.1.8 UAE
14.5.1.8.1 UAE Cognitive Computing Market By Component
14.5.1.8.2 UAE Cognitive Computing Market By Enterprise Size
14.5.1.8.3 UAE Cognitive Computing Market By Business Functions
14.5.1.8.4 UAE Cognitive Computing Market By Technology
14.5.1.8.5 UAE Cognitive Computing Market By Deployment
14.5.1.8.6 UAE Cognitive Computing Market By End-user
14.5.1.9 Egypt
14.5.1.9.1 Egypt Cognitive Computing Market By Component
14.5.1.9.2 Egypt Cognitive Computing Market By Enterprise Size
14.5.1.9.3 Egypt Cognitive Computing Market By Business Functions
14.5.1.9.4 Egypt Cognitive Computing Market By Technology
14.5.1.9.5 Egypt Cognitive Computing Market By Deployment
14.5.1.9.6 Egypt Cognitive Computing Market By End-user
14.5.1.10 Saudi Arabia
14.5.1.10.1 Saudi Arabia Cognitive Computing Market By Component
14.5.1.10.2 Saudi Arabia Cognitive Computing Market By Enterprise Size
14.5.1.10.3 Saudi Arabia Cognitive Computing Market By Business Functions
14.5.10.4 Saudi Arabia Cognitive Computing Market By Technology
14.5.10.5 Saudi Arabia Cognitive Computing Market By Deployment
14.5.10.6 Saudi Arabia Cognitive Computing Market By End-user
14.5.1.11 Qatar
14.5.1.11.1 Qatar Cognitive Computing Market By Component
14.5.1.11.2 Qatar Cognitive Computing Market By Enterprise Size
14.5.1.11.3 Qatar Cognitive Computing Market By Business Functions
14.5.1.11.4 Qatar Cognitive Computing Market By Technology
14.5.1.11.5 Qatar Cognitive Computing Market By Deployment
14.5.1.11.6 Qatar Cognitive Computing Market By End-user
14.5.1.12 Rest of Middle East
14.5.1.12.1 Rest of Middle East Cognitive Computing Market By Component
14.5.1.12.2 Rest of Middle East Cognitive Computing Market By Enterprise Size
14.5.1.12.3 Rest of Middle East Cognitive Computing Market By Business Functions
14.5.1.12.4 Rest of Middle East Cognitive Computing Market By Technology
14.5.1.12.5 Rest of Middle East Cognitive Computing Market By Deployment
14.5.1.12.6 Rest of Middle East Cognitive Computing Market By End-user
14.5.2 Africa
14.5.2.1 Africa Cognitive Computing Market By Country
14.5.2.2 Africa Cognitive Computing Market By Component
14.5.2.3 Africa Cognitive Computing Market By Enterprise Size
14.5.2.4 Africa Cognitive Computing Market By Business Functions
14.5.2.5 Africa Cognitive Computing Market By Technology
14.5.2.6 Africa Cognitive Computing Market By Deployment
14.5.2.7 Africa Cognitive Computing Market By End-user
14.5.2.8 Nigeria
14.5.2.8.1 Nigeria Cognitive Computing Market By Component
14.5.2.8.2 Nigeria Cognitive Computing Market By Enterprise Size
14.5.2.8.3 Nigeria Cognitive Computing Market By Business Functions
14.5.2.8.4 Nigeria Cognitive Computing Market By Technology
14.5.2.8.5 Nigeria Cognitive Computing Market By Deployment
14.5.2.8.6 Nigeria Cognitive Computing Market By End-user
14.5.2.9 South Africa
14.5.2.9.1 South Africa Cognitive Computing Market By Component
14.5.2.9.2 South Africa Cognitive Computing Market By Enterprise Size
14.5.2.9.3 South Africa Cognitive Computing Market By Business Functions
14.5.2.9.4 South Africa Cognitive Computing Market By Technology
14.5.2.9.5 South Africa Cognitive Computing Market By Deployment
14.5.2.9.6 South Africa Cognitive Computing Market By End-user
14.5.2.10 Rest of Africa
14.5.2.10.1 Rest of Africa Cognitive Computing Market By Component
14.5.2.10.2 Rest of Africa Cognitive Computing Market By Enterprise Size
14.5.2.10.3 Rest of Africa Cognitive Computing Market By Business Functions
14.5.2.10.4 Rest of Africa Cognitive Computing Market By Technology
14.5.2.10.5 Rest of Africa Cognitive Computing Market By Deployment
14.5.2.10.6 Rest of Africa Cognitive Computing Market By End-user
14.6 Latin America
14.6.1 Latin America Cognitive Computing Market By Country
14.6.2 Latin America Cognitive Computing Market By Component
14.6.3 Latin America Cognitive Computing Market By Enterprise Size
14.6.4 Latin America Cognitive Computing Market By Business Functions
14.6.5 Latin America Cognitive Computing Market By Technology
14.6.6 Latin America Cognitive Computing Market By Deployment
14.6.7 Latin America Cognitive Computing Market By End-user
14.6.8 Brazil
14.6.8.1 Brazil Cognitive Computing Market By Component
14.6.8.2 Brazil Africa Cognitive Computing Market By Enterprise Size
14.6.8.3Brazil Cognitive Computing Market By Business Functions
14.6.8.4 Brazil Cognitive Computing Market By Technology
14.6.8.5 Brazil Cognitive Computing Market By Deployment
14.6.8.5 Brazil Cognitive Computing Market By End-user
14.6.9 Argentina
14.6.9.1 Argentina Cognitive Computing Market By Component
14.6.9.2 Argentina Cognitive Computing Market By Enterprise Size
14.6.9.3 Argentina Cognitive Computing Market By Business Functions
14.6.9.4 Argentina Cognitive Computing Market By Technology
14.6.9.5 Argentina Cognitive Computing Market By Deployment
14.6.9.6 Argentina Cognitive Computing Market By End-user
14.6.10 Colombia
14.6.10.1 Colombia Cognitive Computing Market By Component
14.6.10.2 Colombia Cognitive Computing Market By Enterprise Size
14.6.10.3 Colombia Cognitive Computing Market By Business Functions
14.6.10.4 Colombia Cognitive Computing Market By Technology
14.6.10.5 Colombia Cognitive Computing Market By Deployment
14.6.10.6 Colombia Cognitive Computing Market By End-user
14.6.11 Rest of Latin America
14.6.11.1 Rest of Latin America Cognitive Computing Market By Component
14.6.11.2 Rest of Latin America Cognitive Computing Market By Enterprise Size
14.6.11.3 Rest of Latin America Cognitive Computing Market By Business Functions
14.6.11.4 Rest of Latin America Cognitive Computing Market By Technology
14.6.11.5 Rest of Latin America Cognitive Computing Market By Deployment
14.6.11.6 Rest of Latin America Cognitive Computing Market By End-user

15 Company Profile
15.1 Oracle Corporation
15.1.1 Company Overview
15.1.2 Financials
15.1.3 Product/Services/Offerings
15.1.4 SWOT Analysis
15.1.5 The SNS View
15.2 Microsoft Corporation.
15.2.1 Company Overview
15.2.2 Financials
15.2.3 Product/Services/Offerings
15.2.4 SWOT Analysis
15.2.5 The SNS View
15.3 Enterra Solutions.
15.3.1 Company Overview
15.3.2 Financials
15.3.3 Product/Services/Offerings
15.3.4 SWOT Analysis
15.3.5 The SNS View
15.4 Statistical Analysis System (SAS).
15.4.1 Company Overview
15.4.2 Financials
15.4.3 Product/Services/Offerings
15.4.4 SWOT Analysis
15.4.5 The SNS View
15.5 Google
15.5.1 Company Overview
15.5.2 Financials
15.5.3 Product/Services/Offerings
15.5.4 SWOT Analysis
15.5.5 The SNS View
15.6 Vicarious.
15.6.1 Company Overview
15.6.2 Financials
15.6.3 Product/Services/Offerings
15.6.4 SWOT Analysis
15.6.5 The SNS View
15.7 HP Development Company, L.P.
15.7.1 Company Overview
15.7.2 Financials
15.7.3 Product/Services/Offerings
15.7.4 SWOT Analysis
15.7.5 The SNS View
15.8 CognitiveScale.
15.8.1 Company Overview
15.8.2 Financials
15.8.3 Product/Services/Offerings
15.8.4 SWOT Analysis
15.8.5 The SNS View
15.9 IBM.
15.9.1 Company Overview
15.9.2 Financials
15.9.3 Product/Services/Offerings
15.9.4 SWOT Analysis
15.9.5 The SNS View
15.10 Nuance Communications Inc.
15.10.1 Company Overview
15.10.2 Financials
15.10.3 Product/Services/Offerings
15.10.4 SWOT Analysis
15.10.5 The SNS View

16. Competitive Landscape
16.1 Competitive Benchmarking
16.2 Market Share Analysis
16.3 Recent Developments
16.3.1 Industry News
16.3.2 Company News
16.3.3 Mergers & Acquisitions

17. USE Cases and Best Practices

18. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.

 

The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.

Data Bank Validation

Step 4: QA/QC Process

After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.

Step 5: Final QC/QA Process:

This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.

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