Cognitive Computing Market Size, Share, Opportunities, And Trends By Technology (Natural Learning Processing (NLP), Machine Learning, Automated Reasoning, Others (Information Retrieval)), By End User (Small, Medium, Large), By Deployment Type (Cloud Based, On-Premise), By Industry Vertical (Healthcare, BFSI, Retail, Government, Military and Defense, Communication and Technology, Others), And By Geography - Forecasts From 2025 To 2030

  • Published : May 2025
  • Report Code : KSI061610376
  • Pages : 154
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Cognitive Computing Market Size:

The Cognitive Computing Market is expected to grow from USD 69.077 billion in 2025 to USD 284.992 billion in 2030, at a CAGR of 32.77%.

This research study examines the cognitive computing market based on various segments: technology, end-user, deployment type, industry vertical, and geography. First, a brief overview of the market details key driving factors and challenges. Next, Porter's five forces model analyzes the cognitive computing market comprehensively. This is followed by industry value chain analysis which determines the companies which are part of the different processes and contributing to various sectors.

The study also presents in-depth information concerning the development, trends, and industry policies and regulations affecting the cognitive computing market. Moreover, the research study analyzes the overall regulatory framework of the cognitive computing sector, offering stakeholders a better understanding of the key factors influencing the overall market environment.

Cognitive computing market is a comprehensive and latest report. It provides vital market information to executives and interested stakeholders to enable them to get vital market information. The report also analyzes the competitive landscape and details strategies of key market players and also plots them on our vendor matrix in four quadrants: leader, follower, challenger, and niche.

The scope and coverage of the cognitive computing market report is as below:

  • Cognitive computing market data tables and charts
  • Market outlook with sections on drivers, restraints, Porter’s and industry value chain analysis
  • Market assessment by technology into natural learning processing (NLP), machine learning, automated reasoning, and others (information retrieval).
  • Detailed market trends, analysis and graphical representation by end-user into small, medium, and large.
  • In-depth analysis of the cognitive computing market by deployment type into cloud based, and on-premise.
  • Exhaustive coverage of the industry vertical into healthcare, BFSI, retail, government, military and defense, communication and technology, and others.
  • A 360° view of the demand for cognitive computing market solutions/services across different geographies (North America, South America, Europe, Middle East and Africa, and Asia Pacific) with further breakdown for key countries within those regions.

Different segments covered under the cognitive computing market report are as below:

  • By Technology
    • Natural Learning Processing (NLP)
    • Machine Learning
    • Automated Reasoning
    • Others (Information Retrieval)
  • By End-User
    • Small
    • Medium
    • Large
  • By Deployment Type
    • Cloud Based
    • On-Premise
  • By Industry Vertical
    • Healthcare
    • BFSI
    • Retail
    • Government
    • Military and Defense
    • Communication and Technology 
    • Others
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • Japan
      • China
      • India
      • South Korea
      • Indonesia
      • Thailand
      • Others
 

1. INTRODUCTION

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

2. RESEARCH METHODOLOGY  

2.1. Research Data

2.2. Assumptions

3. EXECUTIVE SUMMARY

3.1. Research Highlights

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Force 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

5. COGNITIVE COMPUTING MARKET, BY TECHNOLOGY

5.1. Introduction

5.2. Natural Learning Processing (NLP)

5.3. Machine Learning

5.4. Automated Reasoning

5.5. Others (Information Retrieval)

6. COGNITIVE COMPUTING MARKET, BY END-USER

6.1. Introduction

6.2. Small

6.3. Medium

6.4. Large

7. COGNITIVE COMPUTING MARKET, BY DEPLOYMENT TYPE

7.1. Introduction

7.2. Cloud Based

7.3. On-Premise

8. COGNITIVE COMPUTING MARKET, BY INDUSTRY VERTICAL

8.1. Introduction

8.2. Healthcare

8.3. BFSI

8.4. Retail

8.5. Government

8.6. Military and Defense

8.7. Communication and Technology 

8.8. Others

9. COGNITIVE COMPUTING MARKET, BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. United States

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Spain

9.4.5. Others

9.5. The Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Israel

9.5.4. Others

9.6. Asia Pacific

9.6.1. Japan

9.6.2. China

9.6.3. India

9.6.4. South Korea

9.6.5. Indonesia

9.6.6. Thailand

9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Emerging Players and Market Lucrativeness

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

11.1. International Business Machines Corporation (IBM) 

11.2. Google

11.3. Microsoft 

11.4. Nuance Communications 

11.5. Hewlett Packard (HP) 

11.6. SAS

11.7. SAP 

11.8. Oracle Corporation

International Business Machines Corporation (IBM) 

Google

Microsoft 

Nuance Communications 

Hewlett Packard (HP) 

SAS

SAP 

Oracle Corporation