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2023-2030 年全球认知计算市场
市场调查报告书
商品编码
1279697

2023-2030 年全球认知计算市场

Global Cognitive Computing Market - 2023-2030
出版日期: | 出版商: DataM Intelligence | 英文 205 Pages | 商品交期: 约2个工作天内

价格

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简介目录

市场概览

全球认知计算市场估计到 2022 年已达到约 220 亿美元，预计到 2030 年将达到 1220 亿美元，利润丰厚。 在预测期内（2023-2030 年），该市场预计将以 21% 的复合年增长率增长。

认知计算系统可以收集、处理和解释可供企业组织使用的暗数据。 该系统是自然语言处理（NLP）和机器语言的典型硬件和软件组合。 全球认知计算市场受到越来越多地使用基于云的计算来管理数据的推动。 云采用部分预计将占 40% 以上的份额，以推动市场增长。

市场动态

庞大而復杂的数据增长

全球市场发展正受到认知计算日益增长的行业趋势的影响，例如大数据集在许多领域的利用。 由于这些数据集包含大量信息，而传统的数据分析工具无法计算这些信息，因此世界各地的公司都在转向使用认知计算系统。 在预期期间，这种转变也成为全球市场扩张的关键驱动力。

网络犯罪增加

数据安全威胁和合格人员短缺是阻碍该行业发展的两个问题。 儘管如此，数据分析领域仍面临不断升级的网络安全风险。 云服务和移动通信的普及为窃贼提供了新的目标。 数据安全问题仍然是认知计算行业的主要障碍。 美国保险信息研究所 (III) 报告称，与 2020 年相比，2021 年美国的数据洩露事件增加了 68%。 认知计算解决方案供应商对数据库管理具有重大影响。

COVID-19 影响分析

COVID-19 分析包括 COVID 之前、COVID 和 COVID 之后的情景、价格动态（与 COVID 之前的情景相比，大流行期间和之后的价格变化）、供需范围（贸易导致的需求和供应变化）限制、封锁和后续问题）、政府举措（政府机构为振兴市场、行业所做的努力，我将在这里介绍我为缓解疫情所做的工作）。

内容

第一章研究方法与范围

  • 调查方法
  • 调查目的和范围

第 2 章定义和概述

第 3 章执行摘要

  • 市场细分：按部署
  • 市场细分：按技术
  • 市场细分：按应用
  • 市场细分：按地区

第四章市场动态

  • 影响因素
    • 主持人
      • 公司中存在庞大的数据库
      • 越来越多地采用基于云的服务
    • 约束因素
      • 网络犯罪增加
    • 机会
      • 增加复杂的大容量数据
    • 影响分析

第五章行业分析

  • 波特的五力分析
  • 供应链分析
  • 价格分析
  • 法律法规分析

第 6 章 COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情景
    • COVID-19 期间的情景
    • COVID-19 后或未来情景
  • COVID-19 期间的价格和动态
  • 供需范围
  • 大流行期间与市场相关的政府举措
  • 製造商的战略举措
  • 总结

第 7 章通过部署

  • 本地
  • 云

第八章技术

  • 机器学习
  • 自然语言处理
  • 自动推理
  • 其他（神经网络、深度学习）

第 9 章按应用

  • IT/电信
  • 医疗保健
  • 旅游/观光
  • BFSI
  • 消费品/零售
  • 其他

第10章按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 其他欧洲
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 其他亚太地区
  • 中东和非洲

第11章竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第12章公司简介

  • IBM
    • 公司简介
    • 产品组合和说明
    • 主要亮点
    • 财务摘要
  • Google
  • Saffron Technology
  • Cognitive Scale
  • Numenta
  • Vicarious
  • Enterra Solutions
  • Microsoft Corporation
  • Palantir
  • Cold Light

第13章 附录

简介目录
Product Code: ICT1802

Market Overview

The global cognitive computing market is estimated to have reached around US$ 22 billion in 2022 and is projected to witness lucrative growth by reaching up to US$ 122 billion by 2030. The market is growing at a CAGR of 21% during the forecast period (2023-2030).

Cognitive computing systems may gather, process and interpret the dark data available to business organizations. The systems are a typical combination of hardware and software that comprise natural language processing (NLP) and machine language. The global cognitive computing market is driven by the rising usage of cloud-based computing to manage data. The cloud deployment segment is expected to hold more than 40% of the share driving the market growth.

Market Dynamics

The Growing Volume Of Large Complex Data

The development of the global market has been affected by the rise in cognitive computing industry trends such as the application of big data sets across numerous sectors. Businesses all over the world are turning their attention to the use of cognitive computing systems since these data sets include enormous amounts of information and conventional data analytic tools cannot compute this information. During the anticipated period, the shift also serves as a significant driver of the global market's expansion.

The Rising Cybercrimes

Threats to data security and a lack of qualified workers are two issues that can prevent industry growth. The data analytics sector is, nevertheless, exposed to escalating cyber security risks. Cloud services and mobile communications are on the rise, giving thieves a new target. Data security issues remain a major roadblock for the cognitive computing industry. The Insurance Information Institute (III) U.S. reports that, compared to 2020, there were 68% more data breaches in the United States in 2021. Vendors of cognitive computing solutions have a great deal of influence over database administration.

COVID-19 Impact Analysis

The COVID-19 analysis includes Pre-COVID Scenario, COVID Scenario and Post-COVID Scenario along with pricing dynamics (including pricing change during and post-pandemic comparing it with pre-COVID scenarios), demand-supply spectrum (shift in demand and supply owing to trading restrictions, lockdown and subsequent issues), government initiatives (initiatives to revive market, sector or industry by government bodies) and manufacturers strategic initiatives (what manufacturers did to mitigate the COVID issues will be covered here).

Segment Analysis

The global cognitive computing market is segmented based on deployment, tehnology, application and region.

The Rising Cybercrimes To Drive the BFSI Segment's Growth

More than 30% of the market share was held by the BFSI vertical. Due to its extensive handling of private and sensitive financial data, the BFSI is the industry vertical that receives the most targeting. Since machine-learning algorithms are expected to be utilised in preventing payment scams and cyberterrorism, its impact is anticipated to be greater in the future.

Geographical Analysis

The Expansion Of Residential And Commercial Construction in Asia-Pacific

Owing to a surge in cloud computing demand among small and medium-sized organizations (SMEs), Asia-Pacific cognitive computing market is anticipated to expand significantly over the course of the projected period. Countries like Singapore have viewed ICT infrastructure as a crucial enabler in increasing the region's overall competitiveness, based on fostering the development of new industries and businesses. When it comes to neighbouring countries' adoption of cloud computing, the city-state enjoys a leading position. There is currently no developed ecosystem in India that supports cloud IaaS services.

Competitive Landscape

The major global players include: IBM, Google, Saffron Technology, Cognitive Scale, Numenta, Vicarious, Enterra Solutions, Microsoft Corporation, Palantir and Cold Light.

Why Purchase the Report?

  • To visualize the global cognitive computing- market segmentation based on deployment, technology, application and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of cognitive computing market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as Excel consisting of key products of all the major players.

The global cognitive computing market report would provide approximately 61 tables, 60 figures and 205 pages.

Target Audience 2023

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Market Snippet By Deployment
  • 3.2. Market Snippet By Technology
  • 3.3. Market Snippet By Application
  • 3.4. Market Snippet By Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. The presence of huge database in businesses
      • 4.1.1.2. The rising adoption of cloud-based services
    • 4.1.2. Restraints
      • 4.1.2.1. The rising cybercrimes
    • 4.1.3. Opportunity
      • 4.1.3.1. The growing volume of large complex data
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID-19
    • 6.1.2. Scenario During COVID-19
    • 6.1.3. Post COVID-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Deployment

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 7.1.2. Market Attractiveness Index, By Deployment
  • 7.2. On-premises*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Cloud

8. By Technology

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 8.1.2. Market Attractiveness Index, By Technology
  • 8.2. Machine Learning*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Natural Language Processing
  • 8.4. Automated Reasoning
  • 8.5. Others (Neural Networks, Deep Learning)

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. IT & Telecom*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Healthcare
  • 9.4. Travel and Tourism
  • 9.5. BFSI
  • 9.6. Consumer Goods & Retails
  • 9.7. Others

10. By Region

  • 10.1. Introduction
  • 10.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
  • 10.3. Market Attractiveness Index, By Region
  • 10.4. North America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.6.1. The U.S.
      • 10.4.6.2. Canada
      • 10.4.6.3. Mexico
  • 10.5. Europe
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.6.1. Germany
      • 10.5.6.2. The U.K.
      • 10.5.6.3. France
      • 10.5.6.4. Italy
      • 10.5.6.5. Spain
      • 10.5.6.6. Rest of Europe
  • 10.6. South America
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.6.6.1. Brazil
      • 10.6.6.2. Argentina
      • 10.6.6.3. Rest of South America
  • 10.7. Asia-Pacific
    • 10.7.1. Introduction
    • 10.7.2. Key Region-Specific Dynamics
    • 10.7.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.7.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.7.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.7.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.7.6.1. China
      • 10.7.6.2. India
      • 10.7.6.3. Japan
      • 10.7.6.4. Australia
      • 10.7.6.5. Rest of Asia-Pacific
  • 10.8. Middle East and Africa
    • 10.8.1. Introduction
    • 10.8.2. Key Region-Specific Dynamics
    • 10.8.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 10.8.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.8.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. IBM
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Key Highlights
    • 12.1.4. Financial Overview
  • 12.2. Google
  • 12.3. Saffron Technology
  • 12.4. Cognitive Scale
  • 12.5. Numenta
  • 12.6. Vicarious
  • 12.7. Enterra Solutions
  • 12.8. Microsoft Corporation
  • 12.9. Palantir
  • 12.10. Cold Light

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us