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1544578

认知运算市场、机会、成长动力、产业趋势分析与预测，2024-2032

Cognitive Computing Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年07月03日 | 出版商:

Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

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简介目录

受人工智慧 (AI) 快速发展和各行业越来越多地采用认知技术的推动，2024 年至 2032 年全球认知运算市场将以超过 30% 的复合年增长率成长。认知运算模仿人类思考过程来分析和解释复杂的资料，正在成为医疗保健、金融和零售等产业不可或缺的一部分。

巨量资料的兴起，加上对即时决策和增强客户体验的需求，正在推动对认知运算解决方案的需求。机构不断加强的合作也支持了成长。例如，2024年5月，新成立的Amity认知计算和脑资讯中心（ACCBI）与英国诺丁汉特伦特大学认知计算和脑资讯学（CCBI）研究小组签署了谅解备忘录（MoU）。

整个空气处理机组产业根据技术、组件、部署模型、组织规模和地区进行分类。

由于其广泛的适用性和整合能力，平台细分市场将在 2032 年之前推动显着成长。认知运算平台为开发和部署认知应用程式提供了必要的基础设施，包括机器学习模型、自然语言处理系统和进阶分析工具。这些平台支援人工智慧驱动的解决方案的开发，这些解决方案可以处理和分析大量非结构化资料，提供可行的见解并增强决策流程。对人工智慧和数据驱动决策的日益关注将进一步推动对认知运算平台的需求，巩固其在市场中的地位。

到2032 年，云端细分市场将占据相当大的认知运算市场份额。大量前期投资的企业来说，成为有吸引力的选择。云端部署使组织能够按需存取认知运算资源，从而轻鬆部署人工智慧和机器学习应用程式。根据业务需求扩展资源的能力以及高阶云端服务的可用性是推动基于云端的认知运算解决方案采用的关键因素。

欧洲认知运算市场将在 2024 年至 2032 年间经历显着成长。欧洲企业越来越多地采用认知解决方案来增强客户体验、简化营运并推动数位转型。旨在促进技术进步的支持性监管环境和政府措施进一步促进了欧洲市场的成长。此外，领先技术供应商的存在和强大的 IT 基础设施正在推动该地区各个行业采用认知运算解决方案。

产业生态系统分析
供应商矩阵
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 人工智慧和机器学习的进步
  - 非结构化资料量的增加和决策解释的要求
  - 透过云端服务实现个人化客户体验的需求不断增长
  - 医疗保健领域越来越多地采用物联网
  - 自然语言处理 (NLP) 的增强
- 产业陷阱与挑战
  - 整合的复杂性
  - 资料隐私和安全问题
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按技术分类，2021 - 2032 年

主要趋势
机器学习
自然语言处理（NLP）
人机交互
- 电脑视觉
- 机器视觉
- 机器人技术
深度学习

第 6 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
平台
服务
- 专业服务
  - 咨询
  - 整合部署
  - 支援与维护
- 託管服务

第 7 章：市场估计与预测：按部署模型，2021 - 2032 年

主要趋势
本地部署
云

第 8 章：市场估计与预测：按组织规模，2021 - 2032

主要趋势
中小企业 (SME)
大型企业

第 9 章：市场估计与预测：按产业划分，2021 - 2032 年

主要趋势
卫生保健
BFSI
零售与电子商务
政府和国防
资讯科技和电信
能源与电力
其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分

第 11 章：公司简介

Amazon Web Services, Inc.
Atlan Pte. Ltd
Cloudera Inc.
data.world, Inc.
Denodo Technologies
Dremio
Hewlett Packard Enterprise
Hitachi Vantara
IBM
Informatica Inc.
K2View
MapR Technologies
NetApp
Oracle
Qlik
SAP
Software AG
Stardog Union
Talend
TIBCO Software Inc.

简介目录

Product Code: 10109

Global Cognitive Computing Market will grow at over 30% CAGR from 2024 to 2032, propelled by the rapid advancements in artificial intelligence (AI) and an increasing adoption of cognitive technologies across various industries. Cognitive computing, which mimics human thought processes to analyze and interpret complex data, is becoming integral to sectors such as healthcare, finance, and retail.

The rise in big data, coupled with the need for real-time decision-making and enhanced customer experiences, is driving the demand for cognitive computing solutions. The rising collaborative efforts from institutions also support growth. For instance, in May 2024, A Memorandum of Understanding (MoU) was signed between the newly founded Amity Cognitive Computing and Brain Informatics Centre (ACCBI) and the Cognitive Computing and Brain Informatics (CCBI) research group at Nottingham Trent University (UK).

The overall Air Handling Unit Industry is classified based on the technology, component, deployment model, organization size, and region.

The platform segment will drive appreciable growth through 2032 due to its broad applicability and integration capabilities. Cognitive computing platforms provide the essential infrastructure for developing and deploying cognitive applications, including machine learning models, natural language processing systems, and advanced analytics tools. These platforms support the development of AI-driven solutions that can process and analyze large volumes of unstructured data, providing actionable insights and enhancing decision-making processes. The increasing focus on AI and data-driven decision-making will further boost the demand for cognitive computing platforms, solidifying their role in the market.

The cloud segment will capture a substantial Cognitive Computing Market share by 2032. Cloud-based cognitive computing solutions offer scalability, flexibility, and cost-effectiveness, making them an attractive option for businesses looking to leverage cognitive technologies without significant upfront investments in infrastructure. Cloud deployment enables organizations to access cognitive computing resources on demand, facilitating the deployment of AI and machine learning applications with ease. The ability to scale resources according to business requirements and the availability of advanced cloud services are key factors driving the adoption of cloud-based cognitive computing solutions.

Europe Cognitive Computing Market will experience significant growth from 2024 to 2032. The region benefits from a strong focus on technological innovation, extensive research and development activities, and substantial investments in AI and cognitive computing technologies. European enterprises are increasingly adopting cognitive solutions to enhance customer experiences, streamline operations, and drive digital transformation. The supportive regulatory environment and government initiatives aimed at promoting technological advancements further contribute to the market's growth in Europe. Additionally, the presence of leading technology providers and a robust IT infrastructure are driving the adoption of cognitive computing solutions across various sectors in the region.

Chapter 1 Scope and Methodology

1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast parameters
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2024 - 2032
2.2 Business trends
- 2.2.1 Total addressable market (TAM), 2024-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Technology and innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Advancements in AI and machine learning
  - 3.7.1.2 Increasing volume of unstructured data and requirement of interpretation for decision making
  - 3.7.1.3 Rising demand for personalized customer experiences through cloud services
  - 3.7.1.4 Growing adoption of IoT in healthcare
  - 3.7.1.5 Enhancements in Natural Language Processing (NLP)
- 3.7.2 Industry pitfalls and challenges
  - 3.7.2.1 Complexity of integration
  - 3.7.2.2 Data privacy and security concerns
3.8 Growth potential analysis
3.9 Porter's analysis
- 3.9.1 Supplier power
- 3.9.2 Buyer power
- 3.9.3 Threat of new entrants
- 3.9.4 Threat of substitutes
- 3.9.5 Industry rivalry
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Company market share analysis
4.2 Competitive positioning matrix
4.3 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Technology, 2021 - 2032 (USD Billion)

5.1 Key trends
5.2 Machine learning
5.3 Natural language processing (NLP)
5.4 Human computer interaction
- 5.4.1 Computer vision
- 5.4.2 Machine vision
- 5.4.3 Robotics
5.5 Deep learning

Chapter 6 Market Estimates and Forecast, By Component, 2021 - 2032 (USD Billion)

6.1 Key trends
6.2 Platform
6.3 Service
- 6.3.1 Professional services
  - 6.3.1.1 Consulting
  - 6.3.1.2 Integration and deployment
  - 6.3.1.3 Support and maintenance
- 6.3.2 Managed services

Chapter 7 Market Estimates and Forecast, By Deployment Model, 2021 - 2032 (USD Billion)

7.1 Key trends
7.2 On-premise
7.3 Cloud

Chapter 8 Market Estimates and Forecast, By Organization Size, 2021 - 2032 (USD Billion)

8.1 Key trends
8.2 Small and medium enterprises (SMEs)
8.3 Large enterprises

Chapter 9 Market Estimates and Forecast, By Industry, 2021 - 2032 (USD Billion)

9.1 Key trends
9.2 Healthcare
9.3 BFSI
9.4 Retail and e-commerce
9.5 Government and defense
9.6 IT and telecom
9.7 Energy and power
9.8 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Billion)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 Saudi Arabia
- 10.6.3 South Africa
- 10.6.4 Rest of MEA