Global Cognitive Computing Market - 2023-2030

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,350	205 Pages	DataM Intelligence 4Market Research LLP	May, 2023	DTAM17967192

Best Price Guarantee
Price	from $4,350
Length	205 Pages
Publisher	DataM Intelligence 4Market Research LLP
Published Date	May, 2023
SKU	DTAM17967192

Global Cognitive Computing Market - 2023-2030

Market Overview

The global cognitive computing market is estimated to have reached around US$ 22 billion in 2022 and is projected to witness lucrative growth by reaching up to US$ 122 billion by 2030. The market is growing at a CAGR of 21% during the forecast period (2023-2030).

Cognitive computing systems may gather, process and interpret the dark data available to business organizations. The systems are a typical combination of hardware and software that comprise natural language processing (NLP) and machine language. The global cognitive computing market is driven by the rising usage of cloud-based computing to manage data. The cloud deployment segment is expected to hold more than 40% of the share driving the market growth.

Market Dynamics

The Growing Volume Of Large Complex Data

The development of the global market has been affected by the rise in cognitive computing industry trends such as the application of big data sets across numerous sectors. Businesses all over the world are turning their attention to the use of cognitive computing systems since these data sets include enormous amounts of information and conventional data analytic tools cannot compute this information. During the anticipated period, the shift also serves as a significant driver of the global market's expansion.

The Rising Cybercrimes

Threats to data security and a lack of qualified workers are two issues that can prevent industry growth. The data analytics sector is, nevertheless, exposed to escalating cyber security risks. Cloud services and mobile communications are on the rise, giving thieves a new target. Data security issues remain a major roadblock for the cognitive computing industry. The Insurance Information Institute (III) U.S. reports that, compared to 2020, there were 68% more data breaches in the United States in 2021. Vendors of cognitive computing solutions have a great deal of influence over database administration.

COVID-19 Impact Analysis

The COVID-19 analysis includes Pre-COVID Scenario, COVID Scenario and Post-COVID Scenario along with pricing dynamics (including pricing change during and post-pandemic comparing it with pre-COVID scenarios), demand-supply spectrum (shift in demand and supply owing to trading restrictions, lockdown and subsequent issues), government initiatives (initiatives to revive market, sector or industry by government bodies) and manufacturers strategic initiatives (what manufacturers did to mitigate the COVID issues will be covered here).

Segment Analysis

The global cognitive computing market is segmented based on deployment, tehnology, application and region.

The Rising Cybercrimes To Drive the BFSI Segment’s Growth

More than 30% of the market share was held by the BFSI vertical. Due to its extensive handling of private and sensitive financial data, the BFSI is the industry vertical that receives the most targeting. Since machine-learning algorithms are expected to be utilised in preventing payment scams and cyberterrorism, its impact is anticipated to be greater in the future.

Geographical Analysis

The Expansion Of Residential And Commercial Construction in Asia-Pacific

Owing to a surge in cloud computing demand among small and medium-sized organizations (SMEs), Asia-Pacific cognitive computing market is anticipated to expand significantly over the course of the projected period. Countries like Singapore have viewed ICT infrastructure as a crucial enabler in increasing the region's overall competitiveness, based on fostering the development of new industries and businesses. When it comes to neighbouring countries' adoption of cloud computing, the city-state enjoys a leading position. There is currently no developed ecosystem in India that supports cloud IaaS services.

Competitive Landscape

The major global players include IBM, Google, Saffron Technology, Cognitive Scale, Numenta, Vicarious, Enterra Solutions, Microsoft Corporation, Palantir and Cold Light.

Why Purchase the Report?
• To visualize the global cognitive computing- market segmentation based on deployment, technology, application and region, as well as understand key commercial assets and players.
• Identify commercial opportunities by analyzing trends and co-development.
• Excel data sheet with numerous data points of cognitive computing market-level with all segments.
• PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
• Product mapping available as Excel consisting of key products of all the major players.

The global cognitive computing market report would provide approximately 61 tables, 60 figures and 205 pages.

Target Audience 2023
• Manufacturers/ Buyers
• Industry Investors/Investment Bankers
• Research Professionals
• Emerging Companies

1. Methodology and Scope: 1.1. Research Methodology; 1.2. Research Objective and Scope of the Report
2. Definition and Overview
3. Executive Summary: 3.1. Market Snippet By Deployment; 3.2. Market Snippet By Technology; 3.3. Market Snippet By Application; 3.4. Market Snippet By Region
4. Dynamics: 4.1. Impacting Factors; 4.1.1. Drivers; 4.1.1.1. The presence of huge database in businesses; 4.1.1.2. The rising adoption of cloud-based services; 4.1.2. Restraints; 4.1.2.1. The rising cybercrimes; 4.1.3. Opportunity; 4.1.3.1. The growing volume of large complex data; 4.1.4. Impact Analysis
5. Industry Analysis: 5.1. Porter's Five Forces Analysis; 5.2. Supply Chain Analysis; 5.3. Pricing Analysis; 5.4. Regulatory Analysis
6. COVID-19 Analysis: 6.1. Analysis of COVID-19; 6.1.1. Scenario Before COVID-19; 6.1.2. Scenario During COVID-19; 6.1.3. Post COVID-19 or Future Scenario; 6.2. Pricing Dynamics Amid COVID-19; 6.3. Demand-Supply Spectrum; 6.4. Government Initiatives Related to the Market During Pandemic; 6.5. Manufacturers Strategic Initiatives; 6.6. Conclusion
7. By Deployment: 7.1. Introduction; 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 7.1.2. Market Attractiveness Index, By Deployment; 7.2. On-premises*; 7.2.1. Introduction; 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%); 7.3. Cloud
8. By Technology: 8.1. Introduction; 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 8.1.2. Market Attractiveness Index, By Technology; 8.2. Machine Learning*; 8.2.1. Introduction; 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%); 8.3. Natural Language Processing; 8.4. Automated Reasoning; 8.5. Others (Neural Networks, Deep Learning)
9. By Application: 9.1. Introduction; 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application; 9.1.2. Market Attractiveness Index, By Application; 9.2. IT & Telecom*; 9.2.1. Introduction; 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%); 9.3. Healthcare; 9.4. Travel and Tourism; 9.5. BFSI; 9.6. Consumer Goods & Retails; 9.7. Others
10. By Region: 10.1. Introduction; 10.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region; 10.3. Market Attractiveness Index, By Region; 10.4. North America; 10.4.1. Introduction; 10.4.2. Key Region-Specific Dynamics; 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application; 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country; 10.4.6.1. The U.S.; 10.4.6.2. Canada; 10.4.6.3. Mexico; 10.5. Europe; 10.5.1. Introduction; 10.5.2. Key Region-Specific Dynamics; 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application; 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country; 10.5.6.1. Germany; 10.5.6.2. The U.K.; 10.5.6.3. France; 10.5.6.4. Italy; 10.5.6.5. Spain; 10.5.6.6. Rest of Europe; 10.6. South America; 10.6.1. Introduction; 10.6.2. Key Region-Specific Dynamics; 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application; 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country; 10.6.6.1. Brazil; 10.6.6.2. Argentina; 10.6.6.3. Rest of South America; 10.7. Asia-Pacific; 10.7.1. Introduction; 10.7.2. Key Region-Specific Dynamics; 10.7.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 10.7.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 10.7.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application; 10.7.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country; 10.7.6.1. China; 10.7.6.2. India; 10.7.6.3. Japan; 10.7.6.4. Australia; 10.7.6.5. Rest of Asia-Pacific; 10.8. Middle East and Africa; 10.8.1. Introduction; 10.8.2. Key Region-Specific Dynamics; 10.8.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment; 10.8.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology; 10.8.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
11. Competitive Landscape: 11.1. Competitive Scenario; 11.2. Market Positioning/Share Analysis; 11.3. Mergers and Acquisitions Analysis
12. Company Profiles: 12.1. IBM; 12.1.1. Company Overview; 12.1.2. Product Portfolio and Description; 12.1.3. Key Highlights; 12.1.4. Financial Overview; 12.2. Google; 12.3. Saffron Technology; 12.4. Cognitive Scale; 12.5. Numenta; 12.6. Vicarious; 12.7. Enterra Solutions; 12.8. Microsoft Corporation; 12.9. Palantir; 12.10. Cold Light; LIST NOT EXHAUSTIVE
13. Appendix: 13.1. About Us and Services; 13.2. Contact Us