Press release
Cognitive Systems Spending Market : Global Industry Analysis and Opportunity Assessment
In banking, cognitive systems are used for customer service, advisory and decision-making support, investment consulting, and others. The banking sector is the most attractive vertical segment in the global cognitive systems spending market. In terms of value, the banking segment is expected to gain a significant BPS in the global cognitive systems spending market over the forecast period. The banking segment was estimated to account for more than 20% value share towards the end of 2016 and is expected to expand at a high CAGR of 15.5% than other segments of the global cognitive systems spending market during the period of forecast. The banking segment is expected to represent absolute $ opportunity of more than US$ 400 Mn between 2016 and 2026. Our report also indicates that the banking segment is estimated to account for more than 30% value share in the global cognitive systems spending market by 2026 end, followed by the healthcare segment.The global cognitive systems spending market is experiencing numerous technological advancements permitted with exceptional features for several industries especially in the banking sector. Cognitive systems with high-definition technology can help in determining the world’s most composite data analysis difficulties by entering into the complexity of exploiting the power of big data, machine learning, natural language processing, and automated reasoning technology. Some advances in technology would further benefit the diffusion of big data, thereby booming the growth of the global cognitive systems spending market in the forecast period.
Another factor which is driving the growth of the global cognitive systems spending market is the challenge that most banks and financial institutions are facing in the present scenario. Banks have too much data and too little insight. That usually comes from using traditional analytical systems, which focus on examining historical data from relational databases and reporting answers to user queries. Cognitive analytics, in contrast, allows crunching a company’s big data as well as external information sources to forecast future events and behaviours as well as gives recommendations on the most rational behaviour in a given context. Cognitive systems allow conducting what-if analyses to predict the effect of potential changes in business strategies.
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In terms of value, the banking segment was estimated to account for more than 20% value share by 2016 end and is expected to expand at a CAGR of 15.5% during the forecast period in North America. Banking segment is expected to witness comparatively high Y-o-Y growth rates ranging from 14.3% to 15.5% over 2016–2026. In Latin America, the banking segment is lagging behind while healthcare and education sectors are ahead and expect to exhibit a higher CAGR during the forecast period. In Western Europe, the banking sector is the second largest segment in terms of value after the manufacturing segment, which is expected to exhibit a higher CAGR during the forecast period.
International Business Machines Corp (IBM) holds a market share in excess of 50% in the global cognitive systems spending market. The company is dominating the global market in banking along with hospital, manufacturing, and education cognitive systems. IBM Corporation aims to expand its presence in the Middle East and Africa having recently launched its offices in Kuwait, Saudi Arabia, Qatar, Angola, Nigeria, Kenya, Senegal, and Tanzania in order to strengthen its business in these regions.
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Our report on the global cognitive systems spending market for the period 2016-2026 starts with an overview of the market followed by definitions, cognitive systems’ process flow model and cognitive systems’ ecosystem. Our analysts present the executive summary along with market taxonomy where we segment the global cognitive systems spending market on the basis of product type, technology type, deployment type, verticals and region. We also offer our independent analysis of various factors, challenges, and market trends that we feel will define the market in the next few years. The following sections consist of parent market overview, value chain analysis and impact analysis.
We have devoted the last section of the report to study the market performance of some of the top companies operating in the global cognitive systems spending market. We have profiled a few of the leading market players and presented a detailed analysis of their overall business performance and a comprehensive evaluation of their short-term and long-term business and go-to-market strategies. This section is intended to provide report audiences with a dashboard view of the competitive landscape of the global cognitive systems spending market.
The report is categorically divided into five sections namely – by product type, by deployment type, by technology type, by verticals, and by region – to understand and offer useful insights on the global cognitive systems spending market. The report provides analysis of the global cognitive systems spending market in terms of market value (US$ Mn).
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Future Market Insights is the premier provider of market intelligence and consulting services, serving clients in over 150 countries. FMI is headquartered in London, the global financial capital, and has delivery centres in the U.S. and India.
FMI’s research and consulting services help businesses around the globe navigate the challenges in a rapidly evolving marketplace with confidence and clarity. Our customised and syndicated market research reports deliver actionable insights that drive sustainable growth. We continuously track emerging trends and events in a broad range of end industries to ensure our clients prepare for the evolving needs of their consumers.
FMI’s team of over 200 research analysts provides market intelligence at global, regional, and country level. Our analysts are committed to provide independent insights, relying on our cognitive defusion training module, which conditions them to look at data objectively and unbiasedly.
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