USD 30.40 billion
Report ID:
SQMIG45A2227 |
Region:
Global |
Published Date: December, 2024
Pages:
197
|Tables:
93
|Figures:
76
Cognitive Computing Market size was valued at USD 0 Billion in 2023 and is poised to grow from USD 0 Billion in 2024 to USD 0 Billion by 2032, growing at a CAGR of 27.82% during the forecast period (2025-2032).
The Global Cognitive Computing Market is a dynamic and rapidly evolving industry that is transforming the way businesses operate and make decisions. Cognitive computing refers to the development of computer systems that can mimic human cognitive abilities such as understanding, reasoning, learning, and problem-solving. These systems leverage artificial intelligence (AI), machine learning, natural language processing, and other advanced technologies to analyze vast amounts of data and provide valuable insights to businesses. The purpose of the cognitive computing market is to enhance and augment human intelligence, enabling organizations to make better-informed decisions, improve operational efficiency, and drive innovation. By leveraging cognitive computing solutions, businesses can gain a deeper understanding of their customers, optimize business processes, automate repetitive tasks, and develop personalized experiences. There are several drivers propelling the growth of the cognitive computing market. Firstly, the exponential growth of data generated by organizations and individuals necessitates advanced technologies that can make sense of this information and extract valuable insights. Cognitive computing systems excel at processing and analyzing large volumes of structured and unstructured data, enabling businesses to unlock hidden patterns, trends, and correlations. Secondly, the increasing adoption of AI and machine learning across various industries is driving the demand for cognitive computing solutions. Organizations are recognizing the potential of these technologies to revolutionize their operations, improve customer experiences, and gain a competitive edge in the market.
Furthermore, the rising need for personalized and context-aware services is fueling the demand for cognitive computing. Businesses are leveraging these technologies to develop intelligent virtual assistants, chatbots, recommendation systems, and personalized marketing campaigns that cater to individual preferences and needs. While the cognitive computing market presents immense opportunities, there are also some challenges and restraints. Privacy and security concerns surrounding the use of personal data are significant obstacles that need to be addressed. Ensuring the ethical use of cognitive computing technologies and maintaining data privacy is crucial to building trust with customers and stakeholders. Key trends in the cognitive computing market include the integration of cognitive capabilities into various business applications, the convergence of cognitive computing with IoT (Internet of Things) technologies, and the development of industry-specific solutions tailored to the unique needs of different sectors. The market also offers numerous opportunities for businesses. The healthcare industry, for example, can leverage cognitive computing to enhance diagnosis accuracy, develop personalized treatment plans, and improve patient outcomes. In the financial sector, cognitive computing can help detect fraud, automate compliance processes, and provide personalized financial advice. Similarly, industries such as retail, manufacturing, transportation, and telecommunications can benefit from cognitive computing solutions to optimize operations, streamline supply chains, and deliver enhanced customer experiences.
Global Market Size
USD 30.40 billion
Largest Segment
Cloud
Fastest Growth
Cloud
Growth Rate
29.4% CAGR
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Global Cognitive Computing Market is segmented by component, technology, deployment mode, organization size, application and region. Based on component, the market is segmented into platform (cognitive computing platforms, cognitive analytics platforms) and service (managed services, professional services (consulting services, integration services, maintenance services)). Based on technology, the market is segmented into machine learning (ML) (supervised learning, unsupervised learning, reinforcement learning), natural language processing (NLP) (text analysis, speech recognition, sentiment analysis), human-computer interaction (HCI) (gesture recognition, voice recognition) and deep learning (neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN)). Based on deployment mode, the market is segmented into cloud (public cloud, private cloud, hybrid cloud) and on-premises. Based on organization size, the market is segmented into small and medium enterprises (SMEs) and large enterprises. Based on application, the market is segmented into Healthcare, BFSI, Retail, IT and Telecom, Education, Media and Advertising, Energy and Utilities, Government, Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Global Cognitive Computing Market Analysis By Deployment Type
The cloud computing market has experienced significant growth in recent years and growth is expected to continue at a compound annual growth rate of 28.4% over the forecast period. The development of integrated cloud storage facilities and the evolution of customized cloud solutions, such as private and public clouds, have strengthened market growth. Additionally, the exponential amount of data generated by enterprises and organizations has increased the adoption of cloud solutions.
The adoption of cloud solutions presents significant opportunities for stakeholders to reduce the cost of cognitive computing. Major players in the industry are investing resources in building on-premises storage solutions to facilitate traditional file and block storage platforms. The on-premise storage market is expected to exhibit significant growth at a CAGR of 26.7% during the forecast period. Leading companies seek complete control and flexibility over the configuration of servers, which is driving the trend toward investing in on-premise platforms. To illustrate this trend, IBM announced in June 2022 its intention to acquire Randori to bolster on-premise and cloud environments. This move demonstrates the industry's increasing investment in on-premise storage solutions.
Global Cognitive Computing Market Analysis By Technology
The natural language processing (NLP) segment captured the largest market share of more than 42.34% in 2022. It is projected to maintain a significant global share throughout the forecast period. The rise of NLP has been instrumental in driving the advancement of cognitive technology in the IT infrastructure industry. Additionally, the increasing demand for intelligent assistants like Siri and Alexa, along with the utilization of predictive text, has expanded the presence of cognitive computing solutions.
The growth of the cognitive computing market is expected to be further fueled by machine learning technology. This is primarily due to the escalating need for human interaction facilitation. Machine learning is poised to play a crucial role in cognitive computing technology platforms by enabling adaptive and interactive learning. Industry experts anticipate that machine learning and NLP will be in high demand for the development of improved translation and interpretation tools. Furthermore, stakeholders will explore opportunities to identify business prospects and analyze emerging patterns.
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North America is currently the dominating market in the cognitive computing industry, with a significant market share of more than 40.6%. The region's dominance is due to the presence of several leading market players, extensive research and development activities, and the adoption of advanced technologies across various industry verticals. An example of the North American market's dominance is IBM Corporation, which holds a significant share in the cognitive computing market due to its strong focus on research and development in artificial intelligence and machine learning. Another example is Microsoft Corporation, which has developed various cognitive computing solutions such as the Azure Cognitive Services platform, enhancing its market position and driving the market's growth in the region.
Moreover, Asia-Pacific is emerging as the fastest-growing region in the cognitive computing market, with a high growth rate of around 30.25%. The increasing adoption of cognitive computing solutions across various industries, such as healthcare, banking, and retail, is driving the growth of the market in the region. Furthermore, the growing demand for intelligent virtual assistants and chatbots in countries like China and India is further fueling the market's growth. For instance, Asia-Pacific's fastest-growing market is witnessing significant growth due to the presence of companies like Baidu, Alibaba, and Tencent, which are actively investing in cognitive computing and AI technologies, driving innovation and market expansion. For instance, Baidu's DuerOS platform is a leading intelligent voice assistant that has gained widespread adoption in China, enhancing the market's growth.
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Global Cognitive Computing Market Drivers
Growing demand for intelligent virtual assistants
Global Cognitive Computing Market Restraints
Data privacy and security concerns
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The Global Cognitive Computing Market is characterized by intense competition among key players operating in the industry. Some of the major companies are focused on developing advanced cognitive computing solutions and platforms to meet the evolving demands of various industries. They heavily invest in research and development activities to enhance their existing products and develop innovative solutions. Additionally, strategic partnerships, collaborations, and acquisitions are common strategies employed by these companies to expand their market presence and gain a competitive edge. The competitive landscape is further intensified by the entry of new players and the emergence of startups offering specialized cognitive computing solutions.
Top Player’s Company Profiles in Global Cognitive Computing Market
Global Cognitive Computing Market Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to our analyses, The Global Cognitive Computing Market has experienced significant growth, according to market research analysts. Cognitive computing refers to the integration of artificial intelligence (AI) systems that can understand, reason, and learn from data to mimic human cognitive functions. This technology has gained traction across various industries, including healthcare, finance, retail, and manufacturing, due to its ability to process vast amounts of unstructured data and derive actionable insights. The market analysis suggests that the cognitive computing market is being driven by factors such as increasing demand for advanced analytics, the growing adoption of IoT devices, and the need for efficient decision-making tools. Furthermore, the rising investments in AI research and development, along with advancements in natural language processing and machine learning algorithms, are expected to fuel the market's expansion. However, challenges such as data privacy concerns and the complexity of integrating cognitive computing solutions into existing IT infrastructure may hinder the market's growth. Overall, the cognitive computing market is poised for substantial development in the coming years, with companies across industries recognizing the potential of cognitive computing in enhancing operational efficiency, customer experience, and innovation.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 30.40 billion |
Market size value in 2031 | USD 309.23 billion |
Growth Rate | 29.4% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Cognitive Computing Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Cognitive Computing Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Cognitive Computing Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Cognitive Computing Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG45A2227
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