Cognitive Computing Market to Reach $476.8 Billion, by 2032 at 31.3% CAGR: Allied Market Research

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The global cognitive computing market is driven by several factors, such as advancements in enabling technology, an increase in the volume of large complex data, and the evolutions in computing platforms.

Portland, OR, Sept. 15, 2023 (GLOBE NEWSWIRE) — Allied Market Research published a report, titled, “Cognitive Computing Market by Deployment Type (On-Premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium Enterprises), Technology (Natural Language Processing, Machine Learning, Automated Reasoning, and Others), Enterprise Size (Large Enterprises and Small and Medium-Sized Enterprises), and Industry Vertical (Healthcare, BFSI, Retail, Government & Defense, IT & Telecom, Energy & Power, and Others): Global Opportunity Analysis and Industry Forecast, 2022-2032.” According to the report, the cognitive computing industry generated $32.2 billion in 2022 and is anticipated to generate $476.8 billion by 2032, witnessing a CAGR of 31.3% from 2023 to 2032. 

Cognitive computing is a branch of Artificial Intelligence (AI) that seeks to imitate human cognitive processes and simulate human cognitive capabilities. It involves the creation of computer systems capable of comprehending, learning, reasoning, and interacting with humans in a human-like and intelligent manner. Cognitive computing systems use sophisticated algorithms and data analytics to process large amounts of information and provide insights. Unlike traditional computing systems that are programmed with a set of instructions to complete a task, a cognitive computing system can process unstructured information (text, images, audio, etc.) and extract valuable insights. 
 
Prime Determinants of Growth: 

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The global cognitive computing market is driven by several factors, such as advancements in enabling technology, an increase in the volume of large complex data, and the evolutions in computing platforms. However, the high cost of deploying cognitive computing systems, and lack of awareness are expected to hamper market growth. Furthermore, the impact on business applications is expected to create numerous opportunities for cognitive computing solutions in the upcoming years. 

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Report Coverage & Details: 

Report Coverage  Details 
Forecast Period  2023–2032 
Base Year  2022 
Market Size in 2022  $32.2 Billion 
Market Size in 2032  $476.8 Billion 
CAGR  31.3% 
No. of Pages in Report  285 
Segments Covered  Deployment Type, Technology, Enterprise Size, Industry Vertical, and Region 
Drivers   The advancement in enabling technology.

 

Increase in the volume of large complex data.

 

Evolutions in computing platforms 

Opportunities  The impact on business applications 
Restraints  The high cost of deploying cognitive computing systems.

 

Lack of awareness 

COVID-19 Scenario: 

  • The cognitive computing market witnessed stable growth during the COVID-19 pandemic, owing to the dramatically increased dependence on digital devices. The surge in online presence of people during the period of COVID-19-induced lockdowns and social distancing policies fueled the need for cognitive computing solutions.  
  • In addition, with most of the population confined in homes during the early stages of the COVID-19 pandemic, businesses needed to optimize their business operations and offerings to maximize their revenue opportunities while optimizing their operations to support the rapidly evolving business environment. This impacted positively on the growth of the global cognitive computing market. 

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The on-premise segment to maintain its leadership status throughout the forecast period- 

Based on deployment type, the on-premise segment held the highest market share in 2022, accounting for more than three-fifths of the global cognitive computing market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the high level of security and cost efficiency provided by the on-premise solutions. However, the cloud segment is projected to manifest the highest CAGR of 33.0% from 2023 to 2032. This is because the businesses intending to implement cognitive computing technologies find cloud computing’s benefits, such as scalability, flexibility, and lower infrastructure costs, compelling. 

The natural language processing (NLP) segment to maintain its lead position during the forecast period- 

Based on technology, the natural language processing (NLP) segment accounted for the largest share in 2022, contributing to around two-fifths of the global cognitive computing market revenue, and is expected to maintain its lead position during the forecast period. Owing to the growth in the usage of NLP solutions in several industries. However, the automated reasoning segment is expected to portray the largest CAGR of 35.5% from 2023 to 2032. It provides several advantages such as reducing costs, supporting business, and effectively controlling the business environment in the organization. 

The large enterprises segment to maintain its leadership status throughout the forecast period-

Based on enterprise size, the large enterprises segment held the highest market share in 2022, accounting for more than two-thirds of the global cognitive computing market revenue, and is estimated to maintain its leadership status throughout the forecast period. The adoption of cognitive computing tools has become an integral part of these large-scale organizations to sustain in the competitive market. However, the small and medium-sized enterprises segment is projected to manifest the highest CAGR of 34.2% from 2023 to 2032. The growth in penetration of IoT devices in small and medium-sized organizations is expected to provide lucrative opportunities for the market. 

Asia-Pacific to maintain its dominance by 2032- 

Based on region, the North America segment held the highest market share in 2022, garnering nearly two-fifths of the global cognitive computing market revenue.  The increase in the usage of cognitive computing solutions in businesses to improve businesses and the customer experience is anticipated to propel the growth of the market in this region. However, the Asia-Pacific is expected to maintain its dominance by 2032. The same region would also display the fastest CAGR of 35.3% from 2023 to 2032. Owing to an increase in penetration of digitalization and higher adoption of cloud-based solutions. 

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Leading Market Players: – 

  • 3M   
  • Google LLC    
  • Hewlett Packard Enterprise Development LP   
  • IBM Corporation   
  • Microsoft Corporation   
  • Oracle Corporation   
  • SAP SE   
  • SAS Institute Inc.   
  • Tibco Software Inc.   
  • TATA Consultancy Services Limited (TCS)   
     

The report provides a detailed analysis of these key players in the global cognitive computing market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario. 

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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