Cognitive Analytics Market Size, Share, Opportunities, And Trends By Deployment (On–Premises, Cloud), By Enterprise Size (Small, Medium, Large), By Application (Customer Management, Fraud Detection And Security, Supply Chain Management, Sales And Marketing Management, Others), And By Geography - Forecasts From 2024 To 2029

  • Published : Mar 2024
  • Report Code : KSI061616817
  • Pages : 147

The cognitive analytics market is projected to show steady growth during the forecast period.

Cognitive Analytics utilizes human-like intelligence for specific tasks by integrating various intelligent technologies such as semantics, artificial intelligence algorithms, deep learning, and machine learning. The healthcare sector has begun implementing cognitive analytics to effectively pair patients with the most suitable treatments.

Various cognitive analytics tools currently being utilized include Microsoft’s Cortana, Apple’s Siri, and IBM’s Watson. Businesses are leveraging cognitive analytics to access unstructured data from sources like images, emails, text documents, and social media posts. Progress in artificial intelligence and machine learning technologies and the growing adoption of the Internet of Things (IoT) and cloud technology are driving the cognitive analytics market growth.

Market Drivers

  • Progress in Artificial Intelligence (AI) and Machine Learning (ML) technologies drives the cognitive analytics market growth.

The advancement of AI and ML technologies plays a crucial role. Cognitive analytics platforms utilize these methods to automate tasks, detect patterns, and provide highly accurate predictions. Machine learning models that have been trained on past data can forecast forthcoming occurrences.

 For Instance, in 2023, MetLife, a prominent insurance company, leverages a cognitive analytics platform integrated with machine learning to examine customer data and anticipate potential health hazards. This empowers them to provide tailored preventive healthcare initiatives and adapt insurance premiums according to individual risk profiles.

 For instance, according to a Twilio article published in August 2023, the CustomerAI tool revealed by Twilio utilizes artificial intelligence and up-to-the-minute data to revolutionize customer engagements. It provides functionalities such as automated summaries, sentiment analysis, and tailored assistance. This enables enterprises to enhance customer experiences, attain a competitive advantage, and foster more robust customer relationships.

  • Growing adoption of IoT propels the cognitive analytics market.

The surge in advanced IoT devices, equipped with sensors and producing increased data, is driving the cognitive analytics market growth. The rapid expansion of the IoT is driving the cognitive analytics industry expansion. With the interconnection of billions of sensors and devices, a vast amount of data is being generated. Cognitive analytics, equipped with artificial intelligence capabilities, is particularly well-suited to manage this intricate data. It has the ability to unveil concealed patterns, forecast equipment malfunctions, and enhance processes. This enables businesses to harness the immense potential of IoT data, transforming it into valuable insights that facilitate informed decision-making and enhance operational efficiency.

  • Adoption of cloud technology in business enhances cognitive analytics market growth.

The cognitive analytics market is experiencing substantial advantages due to the increasing adoption of cloud technology. Cloud platforms provide scalability, flexibility, and cost-effectiveness, enabling businesses of all sizes and budgets to access powerful cognitive analytics tools. Moreover, cloud-based analytics can efficiently handle large volumes of real-time data, leading to enhanced insights and driving the continuous expansion of the cognitive analytics market.

 For instance, according to an article published by IBM in May 2023, the company has introduced Watsonx, a cutting-edge AI and data platform tailored for enterprises. The comprehensive solution empowers businesses to effortlessly and effectively train and implement sophisticated AI models, including foundational models. With its integrated AI development studio, data storage capabilities, and AI governance tools, this all-in-one platform strives to streamline and expedite the adoption of AI for businesses.

North America is expected to grow.

North America is anticipated to account for a significant share of the cognitive analytics market due to substantial investment in AI research and development promotes the advancement of cognitive analytics tools. Furthermore, a well-established big data infrastructure enables the gathering and examination of extensive datasets. Moreover, an increasing emphasis on data-informed decision-making in sectors such as healthcare, finance, and manufacturing generates a high demand for these sophisticated analytics solutions. Ultimately, well-established cloud computing ecosystems offer the necessary scalability and flexibility to implement and oversee cognitive analytics platforms, thereby driving North America's dominance in the evolving market.

For instance, according to an article published by IBM in November 2023, IBM has allocated a substantial amount of $500 million to establish a fresh venture fund that specifically targets enterprise AI startups. The primary objective of this fund is to expedite the advancement and acceptance of AI technologies within the business sector.

Market Restraints

  • Lack of skilled laborers hinders the cognitive analytics market growth.

The successful implementation and effective utilization of cognitive analytics platforms necessitates a proficient workforce equipped with expertise in data science, machine learning, and domain knowledge. However, the scarcity of such skilled professionals can pose a significant challenge for certain businesses.

  • Data security and privacy effects on cognitive analytics market growth.

Cognitive analytics heavily depends on extensive data, which raises concerns regarding data security and privacy. To ensure responsible data handling and comply with evolving regulations, businesses must implement strong security measures.

Key Developments

  • February 2024: Ericsson is bolstering its Cognitive Software by incorporating Explainable AI (XAI). This empowers communication service providers (CSPs) to comprehend the logic behind AI suggestions for network optimization. XAI ensures transparency, fosters trust, and expedites the enhancement of network performance and user experience for communication service providers (CSPs).
  • January 2024: Infosys has entered into a seven-year agreement with Musgrave, a prominent player in the food retail industry in Ireland. By utilizing its AI and cloud capabilities (Infosys Topaz & Cobalt), Infosys aims to automate Musgrave's IT functions and revolutionize them with a "Cognitive First" strategy. The strategy involves the use of AI and machine learning to enhance operational efficiency and customer satisfaction.

Company Products

  • SAS® Visual Text Analytics: offered by SAS Institute, the product assists enterprises in discovering concealed revelations from textual data. It streamlines activities such as text mining, sentiment analysis, and topic modeling by means of an instinctive visual interface. This empowers users to delve into extensive amounts of textual data (including documents, emails, and social media) and acquire valuable insights to enhance decision-making, comprehend customers better, and bolster brand reputation.
  • WatsonX Assistant: IBM's Watson Assistant is a virtual assistant powered by AI technology, capable of comprehending natural language. It is designed to seamlessly provide customer service or support to employees through different channels such as messaging and applications. By learning from user interactions, Watson Assistant continuously enhances its problem-solving capabilities and automates tasks.


  • By Deployment
    • On–Premises
    • Cloud
  • By Enterprise Size
    • Small
    • Medium
    • Large
  • By Application
    • Customer Management
    • Fraud Detection and Security
    • Supply Chain Management
    • Sales and Marketing Management
    • Others
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Others
    • Asia Pacific
      • Japan
      • China
      • India
      • South Korea
      • Taiwan
      • Thailand
      • Indonesia
      • Others


1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder


2.1. Research Design

2.2. Research Processes


3.1. Key Findings

3.2. Analyst View


4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View


5.1. Introduction

5.2. On-Premise

5.2.1. Market Trends and Opportunities

5.2.2. Growth Prospects

5.2.3. Geographic Lucrativeness

5.3. Cloud

5.3.1. Market Trends and Opportunities

5.3.2. Growth Prospects

5.3.3. Geographic Lucrativeness


6.1. Introduction

6.2. Small

6.2.1. Market Trends and Opportunities

6.2.2. Growth Prospects

6.2.3. Geographic Lucrativeness

6.3. Medium

6.3.1. Market Trends and Opportunities

6.3.2. Growth Prospects

6.3.3. Geographic Lucrativeness

6.4. Large

6.4.1. Market Trends and Opportunities

6.4.2. Growth Prospects

6.4.3. Geographic Lucrativeness


7.1. Introduction

7.2. Customer Management 

7.2.1. Market Trends and Opportunities

7.2.2. Growth Prospects

7.2.3. Geographic Lucrativeness

7.3. Fraud Detection and Security

7.3.1. Market Trends and Opportunities

7.3.2. Growth Prospects

7.3.3. Geographic Lucrativeness

7.4. Supply Chain Management

7.4.1. Market Trends and Opportunities

7.4.2. Growth Prospects

7.4.3. Geographic Lucrativeness

7.5. Sales and Marketing Management

7.5.1. Market Trends and Opportunities

7.5.2. Growth Prospects

7.5.3. Geographic Lucrativeness

7.6. Others

7.6.1. Market Trends and Opportunities

7.6.2. Growth Prospects

7.6.3. Geographic Lucrativeness


8.1. Introduction

8.2. North America

8.2.1. By Deployment

8.2.2. By Enterprise Type

8.2.3. By Application 

8.2.4. By Country United States Market Trends and Opportunities Growth Prospects Canada Market Trends and Opportunities Growth Prospects Mexico Market Trends and Opportunities Growth Prospects

8.3. South America

8.3.1. By Deployment

8.3.2. By Enterprise Type

8.3.3. By Application 

8.3.4. By Country Brazil Market Trends and Opportunities Growth Prospects Argentina Market Trends and Opportunities Growth Prospects Others Market Trends and Opportunities Growth Prospects

8.4. Europe

8.4.1. By Deployment

8.4.2. By Enterprise Type

8.4.3. By Application 

8.4.4. By Country United Kingdom Market Trends and Opportunities Growth Prospects Germany Market Trends and Opportunities Growth Prospects France Market Trends and Opportunities Growth Prospects Italy Market Trends and Opportunities Growth Prospects Spain Market Trends and Opportunities Growth Prospects Others Market Trends and Opportunities Growth Prospects

8.5. Middle East and Africa

8.5.1. By Deployment

8.5.2. By Enterprise Type

8.5.3. By Application 

8.5.4. By Country Saudi Arabia Market Trends and Opportunities Growth Prospects UAE Market Trends and Opportunities Growth Prospects Others Market Trends and Opportunities Growth Prospects

8.6. Asia Pacific

8.6.1. By Deployment

8.6.2. By Enterprise Type

8.6.3. By Application 

8.6.4. By Country

8.6.5. Japan Market Trends and Opportunities Growth Prospects

8.6.6. China Market Trends and Opportunities Growth Prospects

8.6.7. India Market Trends and Opportunities Growth Prospects

8.6.8. South Korea Market Trends and Opportunities Growth Prospects

8.6.9. Taiwan Market Trends and Opportunities Growth Prospects

8.6.10. Thailand Market Trends and Opportunities Growth Prospects

8.6.11. Indonesia Market Trends and Opportunities Growth Prospects

8.6.12. Others Market Trends and Opportunities Growth Prospects


9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard


10.1. Capgemini

10.2. SAS Institute Inc.

10.3. Infosys Limited

10.4. IBM Corporation

10.5. Google LLC

10.6. Microsoft, Inc.

10.7. Oracle 

10.8. Amazon Web Services

10.9. Cisco Systems Inc.

10.10. Sinequa


SAS Institute Inc.

Infosys Limited

IBM Corporation

Google LLC

Microsoft, Inc.


Amazon Web Services

Cisco Systems Inc.