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2023-2030 年全球認知計算市場
市場調查報告書
商品編碼
1279697

2023-2030 年全球認知計算市場

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

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簡介目錄

市場概覽

全球認知計算市場估計到 2022 年已達到約 220 億美元，預計到 2030 年將達到 1220 億美元，利潤豐厚。 在預測期內（2023-2030 年），該市場預計將以 21% 的複合年增長率增長。

認知計算系統可以收集、處理和解釋可供企業組織使用的暗數據。 該系統是自然語言處理（NLP）和機器語言的典型硬件和軟件組合。 全球認知計算市場受到越來越多地使用基於雲的計算來管理數據的推動。 雲採用部分預計將佔 40% 以上的份額，以推動市場增長。

市場動態

龐大而復雜的數據增長

全球市場發展正受到認知計算日益增長的行業趨勢的影響，例如大數據集在許多領域的利用。 由於這些數據集包含大量信息，而傳統的數據分析工具無法計算這些信息，因此世界各地的公司都在轉向使用認知計算系統。 在預期期間，這種轉變也成為全球市場擴張的關鍵驅動力。

網絡犯罪增加

數據安全威脅和合格人員短缺是阻礙該行業發展的兩個問題。 儘管如此，數據分析領域仍面臨不斷升級的網絡安全風險。 雲服務和移動通信的普及為竊賊提供了新的目標。 數據安全問題仍然是認知計算行業的主要障礙。 美國保險信息研究所 (III) 報告稱，與 2020 年相比，2021 年美國的數據洩露事件增加了 68%。 認知計算解決方案供應商對數據庫管理具有重大影響。

COVID-19 影響分析

COVID-19 分析包括 COVID 之前、COVID 和 COVID 之後的情景、價格動態（與 COVID 之前的情景相比，大流行期間和之後的價格變化）、供需範圍（貿易導致的需求和供應變化）限制、封鎖和後續問題）、政府舉措（政府機構為振興市場、行業所做的努力，我將在這裡介紹我為緩解疫情所做的工作）。

內容

第一章研究方法與範圍

  • 調查方法
  • 調查目的和範圍

第 2 章定義和概述

第 3 章執行摘要

  • 市場細分：按部署
  • 市場細分：按技術
  • 市場細分：按應用
  • 市場細分：按地區

第四章市場動態

  • 影響因素
    • 主持人
      • 公司中存在龐大的數據庫
      • 越來越多地採用基於雲的服務
    • 約束因素
      • 網絡犯罪增加
    • 機會
      • 增加複雜的大容量數據
    • 影響分析

第五章行業分析

  • 波特的五力分析
  • 供應鏈分析
  • 價格分析
  • 法律法規分析

第 6 章 COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情景
    • COVID-19 期間的情景
    • COVID-19 後或未來情景
  • COVID-19 期間的價格和動態
  • 供需範圍
  • 大流行期間與市場相關的政府舉措
  • 製造商的戰略舉措
  • 總結

第 7 章通過部署

  • 本地
  • 雲

第八章技術

  • 機器學習
  • 自然語言處理
  • 自動推理
  • 其他（神經網絡、深度學習）

第 9 章按應用

  • IT/電信
  • 醫療保健
  • 旅遊/觀光
  • BFSI
  • 消費品/零售
  • 其他

第10章按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 意大利
    • 西班牙
    • 其他歐洲
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 其他亞太地區
  • 中東和非洲

第11章競爭格局

  • 競爭場景
  • 市場定位/份額分析
  • 併購分析

第12章公司簡介

  • IBM
    • 公司簡介
    • 產品組合和說明
    • 主要亮點
    • 財務摘要
  • Google
  • Saffron Technology
  • Cognitive Scale
  • Numenta
  • Vicarious
  • Enterra Solutions
  • Microsoft Corporation
  • Palantir
  • Cold Light

第13章 附錄

簡介目錄
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