Certified Global Research Member
Isomar fd.webp Wcrc 57.webp
Key Questions Answered
  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players’ financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
Why Choose Market Research Future?
  • Vigorous research methodologies for specific market.
  • Knowledge partners across the globe
  • Large network of partner consultants.
  • Ever-increasing/ Escalating data base with quarterly monitoring of various markets
  • Trusted by fortune 500 companies/startups/ universities/organizations
  • Large database of 5000+ markets reports.
  • Effective and prompt pre- and post-sales support.

Cognitive Computing Technology Companies

Cognitive Computing represents the next frontier in artificial intelligence, where machines not only process data but also understand, learn, and make decisions akin to human cognition. The Cognitive Computing Technology Market is characterized by applications such as natural language processing, machine learning, and neural networks. Industries ranging from healthcare to finance leverage cognitive computing for advanced analytics, personalized customer experiences, and predictive modeling. As cognitive computing continues to advance, the market holds immense potential for reshaping the way we interact with technology and make decisions.

Cognitive Computing Technology Market

Competitive Landscape of Cognitive Computing Technology Market:


The competitive landscape of the cognitive computing technology market is characterized by a dynamic and evolving ecosystem, driven by the increasing demand for advanced data processing and analysis capabilities. As organizations across various industries seek to harness the power of cognitive computing to gain valuable insights and enhance decision-making processes, key players in the market are adopting strategic measures to establish a strong foothold.


Key Players:



  • SparkCognition Inc (U.S.)

  • Expert System S.p.A. (Italy)

  • International Business Machines Corporation (U.S.)

  • Numenta (U.S.)

  • Microsoft Corporation (U.S.)

  • DeepMind Technologies Limited (U.K)

  • Cisco Systems, Inc (U.S.)

  • CustomerMatrix Inc (U.S.)

  • CognitiveScale (U.S.)

  • Hewlett Packard Enterprise (U.S.)


Strategies Adopted:



  • Partnerships and Collaborations: Key players are forming strategic alliances to enhance their capabilities. For instance, IBM's partnerships with leading tech companies allow it to integrate cognitive solutions into diverse ecosystems.

  • Product Diversification: Companies are expanding their product portfolios to cater to different industry verticals, offering specialized solutions tailored to specific business needs.

  • Focus on Cloud-based Solutions: With the growing trend of cloud adoption, cognitive computing providers are emphasizing cloud-based services to offer scalable and flexible solutions.


Factors for Market Share Analysis:



  • Technological Innovation: The ability to innovate and introduce cutting-edge technologies is a significant factor influencing market share. Companies investing in research and development to stay ahead in the technology curve tend to gain a competitive edge.

  • Global Presence: Establishing a strong global presence through regional offices and data centers is crucial. Companies with a widespread international reach can effectively tap into diverse markets and customer segments.

  • Customer Satisfaction: High levels of customer satisfaction contribute to market dominance. Companies that provide reliable and efficient cognitive computing solutions garner positive reviews, leading to increased market share.


New and Emerging Companies:



  • Cognizant Technology Solutions: This global consulting and technology services company is making strides in the cognitive computing arena, offering solutions that integrate seamlessly with existing business processes.

  • NVIDIA Corporation: Known for its prowess in graphics processing units (GPUs), NVIDIA has expanded into AI and cognitive computing, providing hardware solutions that accelerate machine learning workloads.

  • UiPath: A leader in robotic process automation, UiPath is increasingly incorporating cognitive computing elements into its platform, offering enhanced automation capabilities.


Current Company Investment Trends:



  • AI Research Centers: Major players are establishing dedicated AI research centers to drive innovation and stay at the forefront of cognitive computing technology.

  • Acquisitions: Companies are actively acquiring smaller firms with specialized expertise to broaden their service offerings. Microsoft's acquisition of Nuance Communications is a recent example, strengthening its position in healthcare-focused cognitive computing.

  • Investment in Talent: The recruitment and retention of skilled professionals in the field of cognitive computing are key investment trends. Companies are investing in training programs and competitive compensation packages to attract top talent.


Latest Company Updates:


Nov 2023: North America to remain the dominant market, followed by Europe and Asia Pacific. However, the Asia Pacific region is expected to witness the fastest growth due to rapid digitalization and government initiatives.


Dec 27, 2023: IBM unveils new AI platform "Project Quantum Advantage" aimed at achieving quantum supremacy in drug discovery. This could revolutionize the pharmaceutical industry and accelerate the development of new drugs.


Dec 15, 2023: Microsoft announces advancements in its Azure Cognitive Services, including improved natural language processing and computer vision capabilities. These advancements will make it easier for developers to build cognitive applications.


Jan 3, 2024: Healthcare industry embraces cognitive computing for personalized medicine, diagnostics, and robotic surgery. Cognitive technologies are helping healthcare providers improve patient outcomes and reduce costs.


Dec 20, 2023: Retail sector leverages cognitive computing for customer personalization, fraud detection, and supply chain optimization. This is leading to a more efficient and customer-centric shopping experience.


Dec 5, 2023: Ethical considerations surrounding bias and privacy in AI algorithms remain a critical challenge. Developers and policymakers need to address these concerns to ensure responsible AI development.


Nov 2023: Lack of skilled workforce to implement and maintain cognitive computing solutions poses a hurdle for widespread adoption. Investing in training and education will be crucial to bridge this gap.

Cognitive Computing Technology Market Overview:


Cognitive Computing Technology Market size is expected to cross USD 156.26 Billion by 2030 at a CAGR of 28.27% during the forecast period of 2020-2030. Computers have advanced to a level where they have now developed the ability to understand and perform human functions appropriately by developing stimulus algorithms using specialized algorithms and artificial the intelligence of the unstructured data. The major benefit because of which Cognitive Computing Technology Market is that it can work on raw, unstructured that, need no special algorithms or human intervention are required to link similar data in form of documents, media in computer understandable format. Cognitive Computing Technology Market deals with the human interactive form of solving computational problems by understanding and analyzing patterns that cannot be altered by normal human calculations.


The vast use of big data, natural language processing, artificial intelligence, logistic understanding, and cloud computing Cognitive Computing Technology paved its way into today’s world of data. With more than 80 billion user’s data added in the past 5 years to the cloud of various industries like retail, corporate, healthcare, media, and many more. Cognitive Computing Technology Market

COVID-19 Analysis


Covid-19 originated in Wuhan, China, and spread like wildfire in the world without any prior indication and changed the lives of people around the world. The virus objected to the loss in terms of human life as well as the world’s economy dropping to a considerate amount. The Cognitive Computing Technology Market segment has proven to be beneficial in COVID-19 times in analyzing the patient data used y hospitals to maintain a repository that helped in keeping track of vital patients and containing the virus locally and globally. Keeping a track of people traveling across the world and maintaining an inventory of travel history and virus-affected people made healthcare departments in coordination with the government come to a reasonable and feasible solution about how to contain the virus. Artificial intelligence played a vital role in influencing the raw data collected by making Cognitive Computing easier by segregating it.


Market Dynamics Opportunities


Cognitive Computing Technology Market Size grew mainly because it was familiar with using unstructured or raw data to analyze the future dynamics of the industry. There were no special algorithms defined to separate the related data or documents thus making it easier for many industries to use cognitive computing with artificial intelligence and get desired results. IBM’s Watson made a statement the proved to be right when dealing with Cognitive Computing Technology is that ‘ it’s self-repairing and learning technology, which means that Cognitive Computing can surpass the current dynamics of artificial intelligence as it can learn and understand unrelated and unstructured human language, images, voice commands and extract meaningful insights out of, giving rise to more job opportunities in data science fields.

Challenges:


The Major Challenge Cognitive Computing Technology faces that it requires time to time human inputs or interaction to keep the data availability continuous. The objective of Cognitive Computing Technology is to have the ability to think and process information like humans and give appropriate results but to reach this level of understanding Cognitive Computing Technology is lagging far behind and can create errors while understanding simple problems like simple images. Developers are working in collaborating the algorithms of deep learning, machine learning, and artificial intelligence to work effectively with Cognitive Computing to understand the human mind better and faster.

Technology Analysis:


Cognitive Computing Technology Market Analysis is expected to revolutionize the world of cloud computing by introducing the accuracy in process automation in terms of high unstructured data volume. Using artificial intelligence, identifying patterns of the data and simplifying the process to examine this data, and reducing the risk of changing analytical data. It provides accurate data analysis by using cognitive computing to deal with more customer interactions using smart devices. Cognitive Computing Technology improves customer satisfaction by providing relevant and valuable information. Appropriate security arrangements are also part of Cognitive Computing in form of data encryption in form of the firewall to track and identify any threats and maintain data integrity. Cognitive Computing Technology has shown sustainable growth in the last decade by involving more companies in adapting to artificial intelligence and machine learning to extract customer data and extracting value from it.


Segment Overview By Technology


Cognitive Computing Technology is segmented as Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing (NLP) by Technology. Cognitive Computing is the basis of all the other technologies due to its ability to translate and analyze unstructured data in any form i.e. media, pictures, texts, documents, etc.

By Type:Cognitive Computing Technology can be segmented as cloud-based and on-premises (physical) based in the terms of type. With the introduction of cloud storage to reduce the physical storage price many companies like amazon, google, oracle, SAP came up with cloud computing. Data can be stored on virtual servers and can be easily accessible using ERP models to reduce the cost of storage. Physical or on-pon-premisesa computing was related to smaller enterprises where we could deduct the data growth and cost of storage is less.


By Vertical:By vertical Cognitive Computing Technology is segmented in many industrial regions like media and entertainment, transport, healthcare, corporate and IT offices, defense, and navy. Aerospace, power plants, etc. Each field is using Cognitive Computing Technology significantly to maximize the profits out of it and minimize human error.


Regional Analysis:


With an increasingly high volume of data being added and processed in the industrial sector artificial intelligence with Cognitive Computing Technology is on the verge of experiencing major turmoil in the data analytics field. We need more advanced technology to understand this growth and human structure to avoid ambiguity and machine-level mistakes thus storing and analyzing the unstructured data is a necessity of forthcoming time. Cognitive Computing Technology Market Report make North America at the top of its games than the other countries in coping up with the changing cloud computing technology. European countries like Germany, UK, Russia are investing more in local startups and large enterprises to meet the growth of unstructured data analysis in the world. Asia-Pacific regions like China, Japan, and India are the core developers and out-sources of the cloud technology that help provide data to enterprises to analyze and detect patterns and attract more customers. Other countries like Australia, Thailand, Myanmar are also showing expected growth to increase technology advancements in the field of Cognitive Computing Technology.

Competitive Landscape:


With increased data and storage shows an upgrade graph of industrial growth in markets like IT, Corporate, healthcare, telecom, etc. Microsoft, Amazon, and Google are the key market players of cloud-based storage making a competitive landscape for companies to switch to cloud-based technology to reduce storage-based issues.

Major Market Players of Cognitive Computing Technology Market:




  • SparkCognition Inc (U.S.)

  • Expert System S.p.A. (Italy)

  • International Business Machines Corporation (U.S.)

  • Numenta (U.S.)

  • DeepMind Technologies Limited (U.K)


  • Microsoft Corporation (U.S.)

  • Cisco Systems, Inc (U.S.)

  • CustomerMatrix Inc (U.S.)

  • CognitiveScale (U.S.)

  • Hewlett Packard Enterprise (U.S.)


Recent Developments:


The next decade is predicted to be the global world-changing era of artificial intelligence and the Cognitive Computing Technology Market. SQL and Oracle are slowly moving to microservices and container-based storage which will gradually reduce the storage problem of the vast increasing data thus making advancement in Cognitive Computing. Kubernetes use DevOps to make cloud computing more agile by developing and testing test cases thus reducing problems and error with real-time data. IBM Watson has advanced in the healthcare department by tracking and analyzing different patients’ diseases all over the world and separating effective treatments for them.

Report Overview:


The vast use of big data, natural language processing, artificial intelligence, logistic understanding, and cloud ComputingCognitive Computing Technology paved its way into today’s world of data. The ability to process and analyze unstructured data has led to an increase in Cognitive Computing Technology Market giving the edge to artificial intelligence and machine learning a platform to rise. America, Europe, China, Japan, and India are the market leaders of Cognitive Computing Technology as per the latest forecast report of 2023.

Leading companies partner with us for data-driven Insights
client_1 client_2 client_3 client_4 client_5 client_6 client_7 client_8 client_9 client_10
Kindly complete the form below to receive a free sample of this Report
Please fill in Business Email for Quick Response

We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

Purchase Option
Single User $ 4,950
Multiuser License $ 5,950
Enterprise User $ 7,250
Compare Licenses
Tailored for You
  • Dedicated Research on any specifics segment or region.
  • Focused Research on specific players in the market.
  • Custom Report based only on your requirements.
  • Flexibility to add or subtract any chapter in the study.
  • Historic data from 2014 and forecasts outlook till 2040.
  • Flexibility of providing data/insights in formats (PDF, PPT, Excel).
  • Provide cross segmentation in applicable scenario/markets.