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市場調查報告書

商品編碼

1544578

認知運算市場、機會、成長動力、產業趨勢分析與預測，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個工作天內

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簡介目錄

受人工智慧 (AI) 快速發展和各行業擴大採用認知技術的推動，2024 年至 2032 年全球認知運算市場將以超過 30% 的複合年成長率成長。認知運算模仿人類思考過程來分析和解釋複雜的資料，正在成為醫療保健、金融和零售等產業不可或缺的一部分。

巨量資料的興起，加上對即時決策和增強客戶體驗的需求，正在推動對認知運算解決方案的需求。機構不斷加強的合作也支持了成長。例如，2024年5月，新成立的Amity認知計算和腦資訊中心（ACCBI）與英國諾丁漢特倫特大學認知計算和腦資訊學（CCBI）研究小組簽署了合作備忘錄（MoU）。

整個空氣處理機組產業根據技術、組件、部署模型、組織規模和地區進行分類。

由於其廣泛的適用性和整合能力，平台細分市場將在 2032 年之前推動顯著成長。認知運算平台為開發和部署認知應用程式提供了必要的基礎設施，包括機器學習模型、自然語言處理系統和進階分析工具。這些平台支援人工智慧驅動的解決方案的開發，這些解決方案可以處理和分析大量非結構化資料，提供可行的見解並增強決策流程。對人工智慧和數據驅動決策的日益關注將進一步推動對認知運算平台的需求，鞏固其在市場中的地位。

到2032 年，雲端細分市場將佔據相當大的認知運算市場佔有率。大量前期投資的企業來說，成為有吸引力的選擇。雲端部署使組織能夠按需存取認知運算資源，從而輕鬆部署人工智慧和機器學習應用程式。根據業務需求擴展資源的能力以及高階雲端服務的可用性是推動基於雲端的認知運算解決方案採用的關鍵因素。

歐洲認知運算市場將在 2024 年至 2032 年間經歷顯著成長。歐洲企業擴大採用認知解決方案來增強客戶體驗、簡化營運並推動數位轉型。旨在促進技術進步的支持性監管環境和政府措施進一步促進了歐洲市場的成長。此外，領先技術供應商的存在和強大的 IT 基礎設施正在推動該地區各個行業採用認知運算解決方案。

產業生態系統分析
供應商矩陣
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 人工智慧和機器學習的進步
  - 非結構化資料量的增加和決策解釋的要求
  - 透過雲端服務實現個人化客戶體驗的需求不斷成長
  - 醫療保健領域擴大採用物聯網
  - 自然語言處理 (NLP) 的增強
- 產業陷阱與挑戰
  - 整合的複雜性
  - 資料隱私和安全問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按技術分類，2021 - 2032 年

主要趨勢
機器學習
自然語言處理（NLP）
人機交互
- 電腦視覺
- 機器視覺
- 機器人技術
深度學習

第 6 章：市場估計與預測：按組成部分，2021 - 2032 年

主要趨勢
平台
服務
- 專業服務
  - 諮詢
  - 整合部署
  - 支援與維護
- 託管服務

第 7 章：市場估計與預測：按部署模型，2021 - 2032 年

主要趨勢
本地部署
雲

第 8 章：市場估計與預測：按組織規模，2021 - 2032

主要趨勢
中小企業 (SME)
大型企業

第 9 章：市場估計與預測：按產業分類，2021 - 2032 年

主要趨勢
衛生保健
BFSI
零售與電子商務
政府和國防
資訊科技和電信
能源與電力
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 南非
- MEA 的其餘部分

第 11 章：公司簡介

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.

簡介目錄

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