Cognitive Analytics Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Cognitive Analytics Market
The cognitive analytics market size was valued at USD 3.95 billion in 2023, and the market is now projected to grow from USD 5.20 billion in 2024 to USD 44.51 billion by 2032, exhibiting a CAGR of 30.8% during the forecast period of 2024-2032.
During the COVID-19 pandemic, industries like manufacturing, healthcare, retail, IT, and telecom, and BFSI quickly adopted technologies to assist far flung work and keep operations. The healthcare region, specifically, noticed great boom as providers and studies institutes applied analytics equipment to observe disorder records, pandemic trends, and affected person records. These technologies helped in predicting future results and improving healthcare responses. Overall, the pandemic accelerated virtual transformation across various sectors.
Small and medium firms (SMEs) are an increasing number of investing in cognitive analytics gear to drive virtual transformation and enhance selection-making. This equipment provides actual-time insights to address operational challenges, crucial for SMEs going through investment and staffing constraints. The integration of advanced technologies is essential for these groups to remain aggressive. Additionally, the call for cognitive analytics is pushed via the need to accumulate and utilize treasured statistics efficaciously.
To tackle growing competition, groups are specializing in hyper-personalization to draw and preserve customers. By knowledge patron desires and developments, organizations are enhancing private studies via customized webpages, dynamic pricing, and custom designed publish-purchase offerings. These strategies goal to reinforce income and maintain purchaser loyalty. Hyper-personalization is becoming a key differentiator in a competitive marketplace landscape.
Comprehensive Analysis of Cognitive Analytics Market
The cognitive analytics market growth is rising at an exponential rate due to its market segmentation. This market growth successfully provides a detailed nearby exam thinking about the dominant deliver and demand forces that impact the industry. These segmentations are methodically segregated by deployment analysis, by enterprise type analysis, by application analysis, by end-user analysis. By deployment analysis include, cloud and on-premises. By enterprise type analysis include, small, medium, and large enterprises. By application analysis include customer management, fraud detection & security, Supply chain management, sales & marketing management, and others. By end-user analysis include government, BFSI, IT & telecom, retail, healthcare, education, and others.
The North America region lead the cognitive analytics market share by benefitting a market size of USD 1.43 billion in 2023 due to early adopter of the advanced analytics tools, artificial intelligence, and machine learning, among others.
The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include, IBM Corporation, Capgemini SE, Google LLC, SAS Institute, Inc., Microsoft Corporation, Nuance Communications, Inc., Cisco Systems, Inc., Infosys Limited, Oracle Corporation, Intel Corporation these market players provide a level-playing competitive landscape.
In September 2023, Ericsson launched advanced troubleshooting capabilities in Ericsson Expert Analytics, using AI, machine learning, and analytics tools to identify root causes of issues.
Segmentation Table
Attribute Details
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 30.8% from 2024 to 2032
Unit Value (USD Billion)
Segmentation By Deployment
Cloud
On-premises
By Enterprise Type
Large Enterprises
Small & Medium Enterprises
By Application
Customer Management
Fraud Detection & Security
Supply Chain Management
Sales & Marketing management
Others (Asset Maintenance)
By End-user
BFSI
IT & Telecom
Government
Retail
Healthcare
Education
Others (Manufacturing)
By Region
North America (By Deployment, Enterprise Type, Application, End-user, and Country)
- U.S. (By End-user)
- Canada (By End-user)
- Mexico (By End-user)
South America (By Deployment, Enterprise Type, Application, End-user, and Country)
- Brazil (By End-user)
- Argentina (By End-user)
- Rest of South America
Europe (By Deployment, Enterprise Type, Application, End-user, and Country)
- U.K. (By End-user)
- Germany (By End-user)
- France (By End-user)
- Italy (By End-user)
- Spain (By End-user)
- Russia (By End-user)
- Benelux (By End-user)
- Nordics (By End-user)
- Rest of Europe
Middle East and Africa (By Deployment, Enterprise Type, Application, End-user, and Country)
- Turkey (By End-user)
- Israel (By End-user)
- GCC (By End-user)
- North Africa (By End-user)
- South Africa (By End-user)
- Rest of the MEA
Asia Pacific (By Deployment, Enterprise Type, Application, End-user, and Country)
- China (By End-user)
- Japan (By End-user)
- India (By End-user)
- South Korea (By End-user)
- ASEAN (By End-user)
- Oceania (By End-user)
- Rest of Asia Pacific
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- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global Cognitive Analytics Key Players Market Share/Ranking, 2023
- 5. Global Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 5.1. Key Findings
- 5.2. By Deployment (USD)
- 5.2.1. Cloud
- 5.2.2. On-premises
- 5.3. By Enterprise Type (USD)
- 5.3.1. Large Enterprises
- 5.3.2. SMEs
- 5.4. By Application (USD)
- 5.4.1. Customer Management
- 5.4.2. Fraud Detection & Security
- 5.4.3. Supply Chain Management
- 5.4.4. Sales & Marketing management
- 5.4.5. Others (Asset Maintenance, etc.)
- 5.5. By End-user (USD)
- 5.5.1. BFSI
- 5.5.2. IT & Telecom
- 5.5.3. Government
- 5.5.4. Retail
- 5.5.5. Healthcare
- 5.5.6. Education
- 5.5.7. Others (Manufacturing, etc.)
- 5.6. By Region (USD)
- 5.6.1. North America
- 5.6.2. Europe
- 5.6.3. Asia Pacific
- 5.6.4. Middle East & Africa
- 5.6.5. South America
- 6. North America Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 6.1. Key Findings
- 6.2. By Deployment (USD)
- 6.2.1. Cloud
- 6.2.2. On-premises
- 6.3. By Enterprise Type (USD)
- 6.3.1. Large Enterprises
- 6.3.2. SMEs
- 6.4. By Application (USD)
- 6.4.1. Customer Management
- 6.4.2. Fraud Detection & Security
- 6.4.3. Supply Chain Management
- 6.4.4. Sales & Marketing management
- 6.4.5. Others (Asset Maintenance, etc.)
- 6.5. By End-user (USD)
- 6.5.1. BFSI
- 6.5.2. IT & Telecom
- 6.5.3. Government
- 6.5.4. Retail
- 6.5.5. Healthcare
- 6.5.6. Education
- 6.5.7. Others (Manufacturing, etc.)
- 6.6. By Country (USD)
- 6.6.1. United States
- 6.6.2. Canada
- 6.6.3. Mexico
- 7. Europe Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 7.1. Key Findings
- 7.2. By Deployment (USD)
- 7.2.1. Cloud
- 7.2.2. On-premises
- 7.3. By Enterprise Type (USD)
- 7.3.1. Large Enterprises
- 7.3.2. SMEs
- 7.4. By Application (USD)
- 7.4.1. Customer Management
- 7.4.2. Fraud Detection & Security
- 7.4.3. Supply Chain Management
- 7.4.4. Sales & Marketing management
- 7.4.5. Others (Asset Maintenance, etc.)
- 7.5. By End-user (USD)
- 7.5.1. BFSI
- 7.5.2. IT & Telecom
- 7.5.3. Government
- 7.5.4. Retail
- 7.5.5. Healthcare
- 7.5.6. Education
- 7.5.7. Others (Manufacturing, etc.)
- 7.6. By Country (USD)
- 7.6.1. United Kingdom
- 7.6.2. Germany
- 7.6.3. France
- 7.6.4. Italy
- 7.6.5. Spain
- 7.6.6. Russia
- 7.6.7. Benelux
- 7.6.8. Nordics
- 7.6.9. Rest of Europe
- 8. Asia Pacific Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 8.1. Key Findings
- 8.2. By Deployment (USD)
- 8.2.1. Cloud
- 8.2.2. On-premises
- 8.3. By Enterprise Type (USD)
- 8.3.1. Large Enterprises
- 8.3.2. SMEs
- 8.4. By Application (USD)
- 8.4.1. Customer Management
- 8.4.2. Fraud Detection & Security
- 8.4.3. Supply Chain Management
- 8.4.4. Sales & Marketing management
- 8.4.5. Others (Asset Maintenance, etc.)
- 8.5. By End-user (USD)
- 8.5.1. BFSI
- 8.5.2. IT & Telecom
- 8.5.3. Government
- 8.5.4. Retail
- 8.5.5. Healthcare
- 8.5.6. Education
- 8.5.7. Others (Manufacturing, etc.)
- 8.6. By Country (USD)
- 8.6.1. China
- 8.6.2. India
- 8.6.3. Japan
- 8.6.4. South Korea
- 8.6.5. ASEAN
- 8.6.6. Oceania
- 8.6.7. Rest of Asia Pacific
- 9. Middle East & Africa Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 9.1. Key Findings
- 9.2. By Deployment (USD)
- 9.2.1. Cloud
- 9.2.2. On-premises
- 9.3. By Enterprise Type (USD)
- 9.3.1. Large Enterprises
- 9.3.2. SMEs
- 9.4. By Application (USD)
- 9.4.1. Customer Management
- 9.4.2. Fraud Detection & Security
- 9.4.3. Supply Chain Management
- 9.4.4. Sales & Marketing management
- 9.4.5. Others (Asset Maintenance, etc.)
- 9.5. By End-user (USD)
- 9.5.1. BFSI
- 9.5.2. IT & Telecom
- 9.5.3. Government
- 9.5.4. Retail
- 9.5.5. Healthcare
- 9.5.6. Education
- 9.5.7. Others (Manufacturing, etc.)
- 9.6. By Country (USD)
- 9.6.1. Turkey
- 9.6.2. Israel
- 9.6.3. GCC
- 9.6.4. North Africa
- 9.6.5. South Africa
- 9.6.6. Rest of MEA
- 10. South America Cognitive Analytics Market Size Estimates and Forecasts, By Segments, 2019-2032
- 10.1. Key Findings
- 10.2. By Deployment (USD)
- 10.2.1. Cloud
- 10.2.2. On-premises
- 10.3. By Enterprise Type (USD)
- 10.3.1. Large Enterprises
- 10.3.2. SMEs
- 10.4. By Application (USD)
- 10.4.1. Customer Management
- 10.4.2. Fraud Detection & Security
- 10.4.3. Supply Chain Management
- 10.4.4. Sales & Marketing management
- 10.4.5. Others (Asset Maintenance, etc.)
- 10.5. By End-user (USD)
- 10.5.1. BFSI
- 10.5.2. IT & Telecom
- 10.5.3. Government
- 10.5.4. Retail
- 10.5.5. Healthcare
- 10.5.6. Education
- 10.5.7. Others (Manufacturing, etc.)
- 10.6. By Country (USD)
- 10.6.1. Brazil
- 10.6.2. Argentina
- 10.6.3. Rest of South America
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. IBM Corporation
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. Capgemini SE
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. Google LLC
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. SAS Institute, Inc.
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. Microsoft Corporation
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. Nuance Communications, Inc.
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. Cisco Systems, Inc.
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. Infosys Limited
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. Oracle Corporation
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. Intel Corporation
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
- 12. Key Takeaways
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