Cognitive Computing Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Component (Platform, Services), By Technology (Natural Language Processing, Machine Learning, Deep Learning, Human Computer Technology, Automated Reasoning, Information Retrieval), By Deployment Mode (On-Premises, Cloud), By Organization Size (Small & Medium Enterprises, Large Enter

Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format

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Cognitive Computing Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Component (Platform, Services), By Technology (Natural Language Processing, Machine Learning, Deep Learning, Human Computer Technology, Automated Reasoning, Information Retrieval), By Deployment Mode (On-Premises, Cloud), By Organization Size (Small & Medium Enterprises, Large Enter

The global cognitive computing market is predicted to proliferate during the upcoming years owing to the growing adoption of customer service activities among numerous enterprises to decrease operating costs. Cognitive computing is a technology based on the principles of

The market's growth is primarily attributed to the increasing penetration of artificial intelligence, machine learning, neural networks, and integrated cloud platforms across industrial applications. Moreover, other factors driving the market include an increase in the adoption of big data analytics, the development of machine-to-machine technologies, and a rise in demand for better customer experience. Additionally, a large dataset deployment across numerous sectors is a critical trend in the

The growth in the demand for cognitive systems in large organizations is attributed to cloud-based services, which is anticipated to grow in small & medium-sized firms. The demand for cloud-based services in the market increases as cloud-based deployment decreases the cost of implementing cognitive computing within the organization. IBM Watson, a major player in the market for cognitive computing, is planning to launch Watson Analytics in the upcoming years. This cloud-based service is expected to accelerate the adoption of cognitive computing through the cloud. In developed countries, the demand for cognitive computing is increasing rapidly and is expected to proliferate during the forecast period. Furthermore, increasing technological advancements in artificial intelligence and machine learning have improved computing technology, which is predicted to become an emerging technology during the forecast period.

Increasing demand for computing in Retail Industry is Fueling the Market Growth

Cognitive computing trends in the retail industry have entered as a game-changer. It helps the marketing team to gather more data and then analyze it to make retailers more efficient and adaptive. Cognitive computing trends guide companies to make more profit and offer personalized suggestions to customers. Cognitive computing trends have brought countless advancements to the industry. With demand forecasting, price optimization, and website design, cognitive computing has given retailers the tools to build more agile businesses.

Growing usage of Computing for Banking & Finance is Driving the Market Growth

Cognitive computing in the banking industry is expected to help upgrade operational efficiency, customer engagement, and customer experience and growth revenues. Cognitive banking can completely reshape the banking and financial industry on three dimensionsdeeper contextual engagement, new analytics insights, and enterprise transformation. Major companies have already adopted modifications for tasks such as performing various banking transactions digitally, opening a new retail account, and processing claims and loans in minutes.

Expanding the AI Technology for Sentiment Analysis is Stimulating the Market Growth

Sentiment analysis is the science of understanding emotions conveyed in communication. While it is easy for humans to understand tone, intent, etc., in a conversation, it is far more complicated for machines. For helping the machines to understand human communication, the need to feed training data from human conversations is required for the accuracy of the analysis. Sentiment analysis is popularly used to analyze social media communications such as tweets, comments, reviews, complaints, etc. Thus, along with the expanding AI Technology, the demand for sentiment analysis is expected to drive the cognitive computing market during the forecast period.

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Market Segmentation


MIR Segment1

Company Profiles

IBM Corporation, Microsoft Corporation, Oracle Corporation, Google LLC, SparkCognition, Inc., Expert System, Cisco Systems, Inc., SAP SE, Hewlett Packard Enterprise Development LP, and Enterra Solutions,

Attribute

Details

Base Year

2022

Historical Years

2018 â€“ 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Billion and CAGR for 2018-2022 and 2023E-2028F

Report Coverage

Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered

Component

Technology

Deployment Mode

Organization Size

Industry Vertical

Region

Regional Scope

Asia-Pacific, North America, Europe, Middle East & Africa and South America

Country Scope

China, Japan, India, Australia, South Korea, United States, Canada, Mexico, United Kingdom, Germany, France, Spain, Italy, Israel, Turkey, Saudi Arabia, UAE, Brazil, Argentina, Colombia

Key Companies Profiled

IBM Corporation, Microsoft Corporation, Oracle Corporation, Google LLC, SparkCognition, Inc., Expert System, Cisco Systems, Inc., SAP SE, Hewlett Packard Enterprise Development LP, Enterra Solutions

Customization Scope

10% free report customization with purchase. Addition or alteration to country, regional & segment scope.

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