"Continued Emphasis on Data Driven Approach to Bolster the Demand for Cognitive Computing Market"
Cognitive computing market expected to hit the market value of US$ 49.50 Bn in 2026, with promising CAGR during the forecast period from 2018 to 2026. Cognitive computing set to replicate the human capabilities of sensory perception, thinking learning and decision-making. The capacity to harness vast amount of computing supremacy will take this paradigm beyond human limitation in terms of both ability and speed. These techniques distinguish patterns and provide potential solutions that individuals may not be able to perceive. Such technological advancement will generate huge amount of data, both structured and unstructured, and that data will be available for analysis. Effective use of computing infrastructure to rapidly process large data streams is stimulating the need of cognitive computing across all industry verticals.
"Machine Learning Segment to Cement its Dominance in Cognitive Computing Market"
Machine learning, neural networks and deep learning are the most prominent among the technology paradigms and emerged as vital tool of intelligence in order to derive insights from information and apply judgment. Machine learning techniques and capabilities are enabling applications to classify information, identify patterns in large information, make predictions and detect anomalies. These techniques helps organizations to build system that can process big data while applying thinking ability to correlate and classify disparate pieces of information.
"Growing Investment for Analytical Approach to Ensure Higher Growth Rate of Asia Pacific Market"
At present, North America is the front-runner in the overall cognitive computing market. With nature of market here more prone to early adoption of latest technology, North America cognitive computing market witnessing steady growth rate across the forecast period. Furthermore, Asia Pacific accounted to witness higher growth rate throughout the forecast period. China is rapidly becoming a global leader in artificial intelligence (AI) and cognitive computing. In past few years, China’s AI investments have increased dramatically, with aim of industry to surpass US$ 145.00 Bn by 2030. As of June 2017, China applied for almost 16,000 AI patents, ranking second across the world. With rapidly growing acceptance for cognitive computing, market here expected to witness higher growth rate compared to other counterparts.
Key players of global cognitive computing market include Google LLC, International Business Machines (IBM) Corporation, Microsoft Corporation, Palantir Technologies, Saffron Technology, Inc., CognitiveScale, Inc., Enterra Solutions, LLC, Numenta, Vicarious, Ayasdi, Inc. and others.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Cognitive Computing market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
ATTRIBUTE | DETAILS |
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Million |
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Region Segment (2022-2032; US$ Million)
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Key questions answered in this report