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市场调查报告书
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1519664

2024-2032 年按技术、部署类型、企业规模、垂直产业和地区分類的认知运算市场报告

Cognitive Computing Market Report by Technology, Deployment Type, Enterprise Size, Industry Vertical, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 149 Pages | 商品交期: 2-3个工作天内

价格

IMARC Group年全球认知运算市场规模达410亿美元。由于医疗保健领域的广泛使用、人工智慧 (AI) 和机器学习 (ML) 技术的不断进步，以及预测分析在风险评估和资源分配方面的利用率不断提高，该市场正在经历稳定增长。

认知运算市场分析：

市场成长与规模：近年来，在人工智慧和机器学习技术日益普及的推动下，全球认知运算市场稳步成长。

技术进步：更复杂的自然语言处理 (NLP) 演算法和改进的神经网路的开发不断增加。此外，量子运算正在增强认知系统的能力。

产业应用：认知运算在各产业都有应用，包括医疗保健、金融、零售和製造业。在医疗保健领域，它有助于诊断和治疗建议，并增强 BFSI 领域的诈欺检测和风险评估。

地理趋势：北美持续主导全球认知运算市场，在市场收入中占据很大份额。儘管如此，由于对人工智慧和数位转型计划的投资不断增加，亚太地区成为成长最快的新兴市场之一。

竞争格局：市场领导者正在提供全面的认知解决方案并投资于研发 (R&D) 活动。

挑战与机会：日益增长的资料隐私问题以及认知运算系统中对强大网路安全措施的需求不断增长是市场的主要挑战。然而，自动驾驶汽车和个人化行销等不断扩大的应用预计将克服这些挑战并提供良好的市场前景。

未来展望：全球认知运算市场的未来似乎充满希望，由于人工智慧的进步和对数据驱动洞察力的需求不断增加，预计该市场将持续成长。此外，科技巨头和新创公司之间不断加强的合作可能会推动创新并促进市场成长。

认知运算市场趋势：

人工智慧 (AI) 和机器学习 (ML) 的进步

人工智慧（AI）和机器学习（ML）技术的不断进步是促进市场成长的主要因素之一。此外，这些技术的整合使认知运算系统能够处理大量资料、识别模式并做出决策或建议，而无需明确程式设计。这种演变显着提高了认知运算解决方案的准确性和速度，使它们更有效率和可靠。 NLP 是人工智慧的一个子集，它使机器能够理解人类语言并与之互动。这导致了聊天机器人、虚拟助理和情绪分析工具的发展，这些工具在客户服务、内容生成和市场研究中都有应用。此外，认知运算利用人工智慧和机器学习支援的预测分析来预测未来趋势、识别潜在问题并优化决策。与此一致的是，预测分析在风险评估和资源分配中的使用不断增加，正在加强市场的成长。

对数据驱动洞察力的需求不断增长

对数据驱动的见解不断增长的需求提供了有利的市场前景。此外，企业越来越意识到资料在做出明智决策、提高效率和获得竞争优势方面的重要性，这提供了有利的市场前景。来自社交媒体、物联网 (IoT) 设备和感测器等不同来源的资料呈指数级增长，推动了对认知运算等先进工具的需求，以提取有意义的见解。这些见解可用于市场分析、客户区隔和个人化行销策略。同时，认知计算系统在医疗保健领域的广泛使用来分析患者记录、医学影像和临床资料，以协助疾病诊断、治疗计划和药物发现，正在加强市场的成长。此外，BFSI 领域越来越多地采用认知运算解决方案来分析市场趋势、检测交易异常和管理风险，这正在刺激市场成长。

特定产业的应用与采用

由于认知运算能够应对特定挑战并提供量身定制的解决方案，因此其在各行业的应用不断扩大，正在支持市场的成长。零售业越来越多地使用认知运算，为市场创造了积极的前景。认知运算为推荐引擎提供支持，增强顾客的购物体验。此外，这些系统透过分析浏览和购买历史记录来推荐产品，从而提高销售额和客户满意度。与此一致的是，认知运算在製造业中的广泛采用正在对市场产生正面影响。认知运算透过预测设备维护需求、优化生产计划和加强品质控制来改善製造流程，从而减少停机时间并节省成本。除此之外，能源产业也依赖认知运算来优化发电、预测设备故障和管理电网运作。这有助于提高能源供应的效率和可靠性。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球认知运算市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：依技术

  • 自然语言处理
    • 市场走向
    • 市场预测
  • 机器学习
    • 市场走向
    • 市场预测
  • 自动推理
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 7 章：市场区隔：依部署类型

  • 本地
    • 市场走向
    • 市场预测
  • 基于云端
    • 市场走向
    • 市场预测

第 8 章：市场区隔：依企业规模

  • 中小企业
    • 市场走向
    • 市场预测
  • 大型企业
    • 市场走向
    • 市场预测

第 9 章：市场区隔：依产业垂直

  • 卫生保健
    • 市场走向
    • 市场预测
  • BFSI
    • 市场走向
    • 市场预测
  • 零售
    • 市场走向
    • 市场预测
  • 政府
    • 市场走向
    • 市场预测
  • 资讯科技和电信
    • 市场走向
    • 市场预测
  • 能源与电力
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 10 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场走向
    • 市场细分：按国家/地区
    • 市场预测

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 14 章：价格分析

第15章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Acuiti Group
    • Cisco Systems Inc.
    • Enterra Solutions LLC
    • Expert .AI
    • e-Zest Solutions Ltd
    • Google LLC (Alphabet Inc.)
    • International Business Machines Corporation
    • Marlabs LLC
    • Microsoft Corporation
    • Red Skios Ltd.
    • Sas Institute Inc.
    • Tata Consultancy Services Ltd.
    • Vantage Labs LLC
    • Virtusa Corporation
Product Code: SR112024A5414

The global cognitive computing market size reached US$ 41.0 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 254.8 Billion by 2032, exhibiting a growth rate (CAGR) of 21.8% during 2024-2032. The market is experiencing steady growth driven by the widespread use in the healthcare sector, continuous advancements in artificial intelligence (AI) and machine learning (ML) technologies, and the rising utilization of predictive analytics for risk assessment and resource allocation.

Cognitive Computing Market Analysis:

Market Growth and Size: The global cognitive computing market has witnessed steady growth in recent years, driven by the increasing adoption of AI and ML technologies.

Technological Advancements: There is a rise in the development of more sophisticated natural language processing (NLP) algorithms and improved neural networks. Additionally, quantum computing is enhancing the capabilities of cognitive systems.

Industry Applications: Cognitive computing finds applications in various industries, including healthcare, finance, retail, and manufacturing. In healthcare, it aids in diagnosis and treatment recommendations, and enhances fraud detection and risk assessment in the BFSI sector.

Geographical Trends: North America continues to dominate the global cognitive computing market, with a significant share of the market revenue. Nonetheless, Asia-Pacific is one of the fastest-emerging markets on account of the increasing investments in AI and digital transformation initiatives.

Competitive Landscape: Leading players in the market are offering comprehensive cognitive solutions and investing in research and development (R&D) activities.

Challenges and Opportunities: The growing data privacy concerns and the rising need for robust cybersecurity measures in cognitive computing systems are the major challenges of the market. However, the expanding applications, such as in autonomous vehicles and personalized marketing, are projected to overcome these challenges and offer a favorable market outlook.

Future Outlook: The future of the global cognitive computing market appears promising, with continued growth expected due to advancements in AI and increasing demand for data-driven insights. In addition, the rising collaborations between technology giants and startups are likely to drive innovation and contribute to the market growth.

Cognitive Computing Market Trends:

Advancements in Artificial Intelligence (AI) and Machine Learning (ML)

Continuous advancements in artificial intelligence (AI) and machine learning (ML) technologies represent one of the primary factors facilitating the market growth. In addition, the integration of these technologies enables cognitive computing systems to process vast amounts of data, recognize patterns, and make decisions or recommendations without explicit programming. This evolution is significantly the accuracy and speed of cognitive computing solutions, making them more efficient and reliable. NLP, a subset of AI, enables machines to understand and interact with human language. This is leading to the development of chatbots, virtual assistants, and sentiment analysis tools, which find applications in customer service, content generation, and market research. In addition, cognitive computing leverages predictive analytics powered by AI and ML to forecast future trends, identify potential issues, and optimize decision-making. In line with this, the rising utilization of predictive analytics for risk assessment and resource allocation is strengthening the growth of the market.

Growing Demand for Data-driven Insights

The escalating demand for data-driven insights is offering a favorable market outlook. In addition, the increasing awareness among businesses about the importance of data in making informed decisions, improving efficiency, and gaining a competitive edge is offering a favorable market outlook. The exponential growth of data from diverse sources, including social media, the Internet of Things (IoT) devices, and sensors, is driving the need for advanced tools like cognitive computing to extract meaningful insights. These insights can be used for market analysis, customer segmentation, and personalized marketing strategies. Along with this, the widespread use of cognitive computing systems in the healthcare sector to analyze patient records, medical images, and clinical data to assist in disease diagnosis, treatment planning, and drug discovery is strengthening the growth of the market. Furthermore, the rising adoption of cognitive computing solutions in the BFSI sector to analyze market trends, detect anomalies in transactions, and manage risk is stimulating the market growth.

Industry-specific Applications and Adoption

The expanding applications of cognitive computing in various industries due to its ability to address specific challenges and deliver tailored solutions are supporting the growth of the market. The increasing use of cognitive computing in the retail sector is creating a positive outlook for the market. Cognitive computing powers recommendation engines that enhance the shopping experience for customers. In addition, these systems suggest products by analyzing browsing and purchase history, leading to higher sales and customer satisfaction. In line with this, the widespread adoption of cognitive computing in the manufacturing industry is influencing the market positively. Cognitive computing improves manufacturing processes by predicting equipment maintenance needs, optimizing production schedules, and enhancing quality control, which results in reduced downtime and cost savings. Apart from this, the energy sector is relying on cognitive computing to optimize power generation, predict equipment failures, and manage grid operations. This contributes to increased efficiency and reliability of energy supply.

Cognitive Computing Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on technology, deployment type, enterprise size, and industry vertical.

Breakup by Technology:

Natural Language Processing

Machine Learning

Automated Reasoning

Others

Natural language processing accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the technology. This includes natural language processing, machine learning, automated reasoning, and others. According to the report, natural language processing represented the largest segment.

Natural language processing (NLP) empowers machines to understand, interpret, and generate human language, facilitating seamless communication between humans and computers. Its applications span a wide spectrum, ranging from chatbots that engage people in natural conversations to sentiment analysis tools that gauge public opinions and feedback. Furthermore, NLP underpins content generation and automated translation services, which drives its demand across the globe.

Machine learning (ML) constitutes a substantial portion of the cognitive computing market and continues to grow in importance. This technology empowers systems to learn from data, adapt, and make predictions or recommendations autonomously. In fields like finance, healthcare, and e-commerce, ML algorithms drive personalized recommendations, fraud detection, and predictive analytics. Its versatility and ability to uncover hidden patterns within vast datasets make it an asset.

Automated reasoning focuses on logical inference and problem-solving, enabling expert systems and decision support. It finds numerous applications in medical diagnoses or complex logistical planning. In addition, it contributes valuable capabilities to cognitive computing by ensuring the reliability and accuracy of automated decisions.

Breakup by Deployment Type:

On-premises

Cloud-based

Cloud-based holds the largest share in the industry

A detailed breakup and analysis of the market based on the deployment type have also been provided in the report. This includes on-premises and cloud-based. According to the report, cloud-based accounted for the largest market share.

On-premises deployment of cognitive computing solutions remains a significant choice for businesses, particularly those with stringent data security and compliance requirements. Organizations that opt for on-premises solutions have full control over their infrastructure and data, allowing them to customize and fine-tune cognitive systems to their specific needs. In addition, on-premises solutions are widely used in healthcare, finance, and government sectors for enhanced safety and data privacy.

Cloud-based deployment has gained immense popularity in the cognitive computing market due to its scalability, flexibility, and cost-effectiveness. It offers reduced infrastructure costs, rapid scalability, and access to cutting-edge cognitive technologies. Apart from this, cloud solutions also facilitate remote collaboration and data sharing, making them well-suited for businesses with a distributed workforce. They are especially favored by startups and smaller enterprises looking to quickly adopt cognitive computing capabilities without significant upfront investments.

Breakup by Enterprise Size:

Small and Medium-sized Enterprises

Large Enterprises

Large enterprises represent the leading market segment

The report has provided a detailed breakup and analysis of the market based on the enterprise size. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises represented the largest segment.

Large enterprises harness cognitive technologies to optimize various aspects of their operations, from supply chain management and customer relationship management to human resources and financial analysis. Large enterprises leverage big data analytics and machine learning to gain actionable insights from vast datasets, enabling them to make informed decisions and drive innovation. Additionally, they invest in custom-built cognitive solutions tailored to their specific needs.

Small and medium-sized enterprises are increasingly recognizing the value of cognitive computing in improving efficiency and competitiveness. Cognitive technologies empower SMEs to automate repetitive tasks, analyze customer data for personalized marketing, and enhance decision-making processes. The affordability of cloud-based cognitive solutions has made these technologies accessible to SMEs without the need for extensive infrastructure investments.

Breakup by Industry Vertical:

Healthcare

BFSI

Retail

Government

IT and Telecom

Energy and Power

Others

Healthcare accounts for the majority of the market share

A detailed breakup and analysis of the market based on the industry vertical have also been provided in the report. This includes healthcare, BFSI, retail, government, IT and telecom, energy and power, and others. According to the report, healthcare holds the largest market share.

Cognitive computing technologies are widely used in the healthcare sector to enable advanced diagnostic systems, personalized treatment recommendations, and drug discovery processes. These innovations are improving patient outcomes, reducing medical errors, and optimizing healthcare operations. Furthermore, the rising focus of the industry on offering data-driven decision-making and the delivery of more effective and efficient healthcare services is facilitating the market growth.

The BFSI sector holds a significant share in the cognitive computing market, driven by the need for enhanced risk assessment, fraud detection, and customer service. Cognitive computing systems in this industry are used to analyze vast volumes of financial data, predict market trends, and automate routine tasks like customer inquiries and document processing. Additionally, they aid in optimizing investment portfolios and ensuring regulatory compliance.

The retail industry has embraced cognitive computing to provide personalized shopping experiences, optimize supply chain management, and enhance customer engagement. Cognitive systems analyze consumer behavior and preferences to offer tailored product recommendations, making online and in-store shopping more efficient and enjoyable.

Government agencies are increasingly adopting cognitive computing to improve public services, enhance cybersecurity, and streamline administrative processes. Cognitive systems assist in data analysis for policy-making, aid in threat detection and prevention, and automate routine tasks, allowing government employees to focus on higher-value activities.

The IT and telecom industry leverages cognitive computing to enhance network management, customer support, and data security. Cognitive systems analyze network performance, detect anomalies, and predict potential issues, leading to improved service quality. In customer support, chatbots powered by cognitive technologies offer quick and efficient assistance.

In the energy and power sector, cognitive computing contributes to more efficient energy management, predictive maintenance of power plants, and grid optimization. These technologies analyze vast datasets from sensors and equipment, helping prevent downtime and reduce energy waste. Cognitive systems also assist in forecasting energy demand and optimizing the distribution of renewable energy sources, aligning with sustainability goals and cost-effectiveness.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America leads the market, accounting for the largest cognitive computing market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America continues to lead the cognitive computing market due to its advanced technological infrastructure and substantial investments in artificial intelligence (AI) and cognitive technologies. The United States, being a global technology hub, plays a pivotal role in driving innovation and adoption. Additionally, key industries in the U.S., such as healthcare, finance, and manufacturing, heavily rely on cognitive computing for improving operational efficiency and decision-making.

The Asia-Pacific region is experiencing rapid growth in the cognitive computing market. China and Japan are standout leaders, driving innovation in AI and cognitive technologies. The continuous government support and robust tech ecosystem in China are propelling it to the forefront, with applications spanning manufacturing, healthcare, and finance. Additionally, the software development prowess and the increasing adoption of cognitive computing customer service and data analytics are driving the regional market. South Korea and Australia continue to invest heavily in AI research and development, while Indonesia is emerging as a market with growth potential across diverse sectors.

Europe represents a mature but steadily growing market for cognitive computing. Germany and France excel in manufacturing and aerospace, employing cognitive solutions to enhance productivity and quality control. The United Kingdom is a leader, particularly in financial services, where cognitive computing helps manage risk and improve customer experiences. Italy and Spain are expanding their use of cognitive computing in healthcare and retail.

Latin America is gradually embracing cognitive computing, with Brazil taking the lead, particularly in agriculture and finance. Furthermore, the growing tech sector and government initiatives in Brazil are leading to increased adoption of cognitive solutions. Mexico is also incorporating cognitive computing in manufacturing and logistics to enhance operational efficiency.

The Middle East and Africa are at an early stage of cognitive computing adoption. The UAE and South Africa are pioneers, using cognitive computing in financial services and healthcare to improve decision-making and customer experiences. In addition, as businesses and governments recognize the value of cognitive computing, opportunities across diverse industries are expected to emerge gradually, driving market expansion in this region.

Leading Key Players in the Cognitive Computing Industry:

The key players in the market are continually enhancing their cognitive computing platforms and services. They invest heavily in research and development to improve natural language processing (NLP), machine learning, and automated reasoning capabilities. Additionally, they are tailoring their offerings to meet the unique needs of sectors such as healthcare, finance, retail, and more. They are also collaborating with industry experts to develop specialized solutions, enabling customers to derive maximum value from their cognitive systems. Moreover, the key players are promoting cloud-based cognitive services to make them more accessible and scalable. They are expanding their cloud infrastructure globally, enabling businesses of all sizes to leverage cognitive computing without the need for significant hardware investments.

The market research report has provided a comprehensive analysis of the competitive landscape. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Acuiti Group

Cisco Systems Inc.

Enterra Solutions LLC

Expert .AI

e-Zest Solutions Ltd

Google LLC (Alphabet Inc.)

International Business Machines Corporation

Marlabs LLC

Microsoft Corporation

Red Skios Ltd.

Sas Institute Inc.

Tata Consultancy Services Ltd.

Vantage Labs LLC

Virtusa Corporation

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Latest News:

September 15, 2021: Enterra Solutions, LLC, a leading provider of Autonomous Decision Sciences(TM) technologies, announced the opening of a new office in Cambridge, Massachusetts. The new office located in Kendall Square will expand the business footprint and position of the company in a worldwide hub for technology innovation as it continues to drive development to the advanced artificial intelligence offerings that bridge the commercial sector, academia, and governing agencies.

March 14, 2023: Tata Consultancy Services Ltd. announced the launch of its 5G-enabled solution, TCS Cognitive Plant Operations Adviser for the Microsoft Azure Private Mobile Edge Computing (PMEC) platform, to help industries like manufacturing, oil and gas, consumer packaged goods, and pharmaceuticals transform production, harnessing AI and machine learning to make it more intelligent, agile and resilient.

November 29, 2023: Sas Institute Inc. a global leader in artificial intelligence (AI) and analytics, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to help customers extract maximum value and performance from their data in the cloud.

Key Questions Answered in This Report

  • 1. What was the size of the global cognitive computing market in 2023?
  • 2. What is the expected growth rate of the global cognitive computing market during 2024-2032?
  • 3. What has been the impact of COVID-19 on the global cognitive computing market?
  • 4. What are the key factors driving the global cognitive computing market?
  • 5. What is the breakup of the global cognitive computing market based on the technology?
  • 6. What is the breakup of the global cognitive computing market based on the deployment type?
  • 7. What is the breakup of the global cognitive computing market based on enterprise size?
  • 8. What is the breakup of the global cognitive computing market based on the industry vertical?
  • 9. What are the key regions in the global cognitive computing market?
  • 10. Who are the key players/companies in the global cognitive computing market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Cognitive Computing Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Technology

  • 6.1 Natural Language Processing
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Machine Learning
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Automated Reasoning
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Others
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Deployment Type

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Enterprise Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Industry Vertical

  • 9.1 Healthcare
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 BFSI
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Retail
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Government
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 IT and Telecom
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Energy and Power
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Others
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Acuiti Group
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
    • 15.3.2 Cisco Systems Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Enterra Solutions LLC
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
    • 15.3.4 Expert .AI
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 Financials
    • 15.3.5 e-Zest Solutions Ltd
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
    • 15.3.6 Google LLC (Alphabet Inc.)
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 SWOT Analysis
    • 15.3.7 International Business Machines Corporation
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Marlabs LLC
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
    • 15.3.9 Microsoft Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 Red Skios Ltd.
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Sas Institute Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 SWOT Analysis
    • 15.3.12 Tata Consultancy Services Ltd.
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio
      • 15.3.12.3 Financials
      • 15.3.12.4 SWOT Analysis
    • 15.3.13 Vantage Labs LLC
      • 15.3.13.1 Company Overview
      • 15.3.13.2 Product Portfolio
    • 15.3.14 Virtusa Corporation
      • 15.3.14.1 Company Overview
      • 15.3.14.2 Product Portfolio
      • 15.3.14.3 SWOT Analysis

List of Figures

  • Figure 1: Global: Cognitive Computing Market: Major Drivers and Challenges
  • Figure 2: Global: Cognitive Computing Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Cognitive Computing Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Cognitive Computing Market: Breakup by Technology (in %), 2023
  • Figure 5: Global: Cognitive Computing Market: Breakup by Deployment Type (in %), 2023
  • Figure 6: Global: Cognitive Computing Market: Breakup by Enterprise Size (in %), 2023
  • Figure 7: Global: Cognitive Computing Market: Breakup by Industry Vertical (in %), 2023
  • Figure 8: Global: Cognitive Computing Market: Breakup by Region (in %), 2023
  • Figure 9: Global: Cognitive Computing (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Cognitive Computing (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Cognitive Computing (Machine Learning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Cognitive Computing (Machine Learning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Cognitive Computing (Automated Reasoning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Cognitive Computing (Automated Reasoning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Cognitive Computing (Other Technologies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Cognitive Computing (Other Technologies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Cognitive Computing (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Cognitive Computing (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Cognitive Computing (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Cognitive Computing (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Cognitive Computing (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Cognitive Computing (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Cognitive Computing (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Cognitive Computing (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Cognitive Computing (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Cognitive Computing (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Cognitive Computing (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Cognitive Computing (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Cognitive Computing (Retail) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Cognitive Computing (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Cognitive Computing (Government) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Cognitive Computing (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Cognitive Computing (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Cognitive Computing (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Cognitive Computing (Energy and Power) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Cognitive Computing (Energy and Power) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Cognitive Computing (Other Industry Verticals) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Cognitive Computing (Other Industry Verticals) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: North America: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: North America: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: United States: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: United States: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Canada: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Canada: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Asia-Pacific: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Asia-Pacific: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: China: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: China: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: Japan: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: Japan: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: India: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: India: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: South Korea: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: South Korea: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Australia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Australia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: Indonesia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: Indonesia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: Europe: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: Europe: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: Germany: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: Germany: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: France: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: France: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: United Kingdom: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: United Kingdom: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Italy: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Italy: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Spain: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Spain: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Russia: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Russia: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: Latin America: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: Latin America: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Brazil: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Brazil: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Mexico: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Mexico: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Others: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Others: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Middle East and Africa: Cognitive Computing Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Middle East and Africa: Cognitive Computing Market: Breakup by Country (in %), 2023
  • Figure 87: Middle East and Africa: Cognitive Computing Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Global: Cognitive Computing Industry: SWOT Analysis
  • Figure 89: Global: Cognitive Computing Industry: Value Chain Analysis
  • Figure 90: Global: Cognitive Computing Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Cognitive Computing Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Cognitive Computing Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 3: Global: Cognitive Computing Market Forecast: Breakup by Deployment Type (in Million US$), 2024-2032
  • Table 4: Global: Cognitive Computing Market Forecast: Breakup by Enterprise Size (in Million US$), 2024-2032
  • Table 5: Global: Cognitive Computing Market Forecast: Breakup by Industry Vertical (in Million US$), 2024-2032
  • Table 6: Global: Cognitive Computing Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Cognitive Computing Market: Competitive Structure
  • Table 8: Global: Cognitive Computing Market: Key Players