The global demand for Cognitive Computing Market is presumed to reach the market size of nearly USD 239.52 BN by 2030 from USD 32.42 BN in 2022 with a CAGR of 28.4% under the study period 2023 - 2030.
Cognitive computing refers to the use of computerized models to simulate human thought processes and enhance decision-making capabilities. It involves the development of systems that can analyze, learn, and adapt based on data inputs, mimicking the cognitive-related functions of the human brain.
The cognitive computing market is propelled by rapid advances in artificial intelligence (AI) technologies, responding to the increasing complexity of big data and the demand for intelligent systems. The exponential growth of big data necessitates advanced solutions capable of analyzing and interpreting vast and intricate datasets. Businesses seek intelligent automation, leading to the adoption of cognitive computing for complex task execution, learning from experiences, and adapting to dynamic conditions. Enhanced decision-making processes in enterprises, driven by real-time insights and predictive analytics, contribute to the market's expansion. Applications such as natural language processing, healthcare analytics, and cybersecurity highlight the versatility of these models. The focus on improving customer experiences through personalized recommendations and intelligent customer service further fuels market growth. Government initiatives and funding for AI research also play a role in driving the adoption of cognitive computing. The market's trajectory reflects the transformative impact of cognitive technologies across industries, emphasizing human-machine collaboration and the ability to process, understand, and learn from diverse data sources.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of cognitive computing. The growth and trends of cognitive computing industry provide a holistic approach to this study.
This section of the cognitive computing market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
By Technology
By Application
By Deployment
This section covers the regional outlook, which accentuates current and future demand for the Cognitive Computing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Cognitive Computing market include CognitiveScale, PTC, Enterra Solutions, Google, HP Development Company, L.P., IBM, Microsoft Corporation, Nuance Communications Inc., Numenta, Oracle Corporation, Palantir, Saffron Technology, SAP, Statistical Analysis System (SAS), Tibco Software, Vicarious. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
1 . PREFACE
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market Research Process
1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
2.1. Highlights of Market
2.2. Global Market Snapshot
3 . COGNITIVE COMPUTING – INDUSTRY ANALYSIS
3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter’s Five Force Analysis
3.7. Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Technology
3.7.2 Market Attractiveness Analysis By Application
3.7.3 Market Attractiveness Analysis By Deployment
3.7.4 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
4.1. Value Chain Analysis
4.2. Raw Material Analysis
4.2.1. List of Raw Materials
4.2.2. Raw Material Manufactures List
4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
4.4.1. Direct Marketing
4.4.2. Indirect Marketing
4.4.3. Marketing Channel Development Trend
5 . GLOBAL COGNITIVE COMPUTING MARKET ANALYSIS BY TECHNOLOGY
5.1 Overview by Technology
5.2 Historical and Forecast Data
5.3 Analysis by Technology
5.4 Natural Language Processing Historic and Forecast Sales by Regions
5.5 Machine Learning Historic and Forecast Sales by Regions
5.6 Automated Reasoning Historic and Forecast Sales by Regions
5.7 Information Retrieval Historic and Forecast Sales by Regions
6 . GLOBAL COGNITIVE COMPUTING MARKET ANALYSIS BY APPLICATION
6.1 Overview by Application
6.2 Historical and Forecast Data
6.3 Analysis by Application
6.4 BFSI Historic and Forecast Sales by Regions
6.5 Healthcare Historic and Forecast Sales by Regions
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