市場調查報告書
商品編碼
1087007

通用機器情報的全球市場預測(2022年∼2027年)

Global General Purpose Machine Intelligence Market - Forecasts from 2022 to 2027

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 115 Pages | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

全球通用機器情報的市場規模,2020年為18億4,400萬美金,預計以13.35%的年複合成長率發展,至2027年達到44億3,200萬美元。通用機器情報,稱為通用人工智慧(GPAI),指實行像人一樣的各種工作的AI軟體的功能。

為了自動化的發展,及提高效率性和生產率在許多產業領域的採用有所發展,對通用人工智慧(GPAI)的需求劇增,預期市場有前途。此外,防衛、航太,醫療保健,汽車、運輸,製造的強力成長,加上各領域先進技術的創新和採用,帶給市場很大的機會。再加上數十億美元投資於AI領域的進步,活化GPAI市場。

本報告提供全球通用機器情報市場調查,市場規模和預測,市場促進因素及課題,市場趨勢,各技術、各終端用戶業界、各地區的市場分析,競爭情形,主要企業的簡介等系統性資訊。

目錄

第1章 簡介

  • 市場定義
  • 市場區隔

第2章 調查手法

  • 調查資料
  • 前提條件

第3章 摘要整理

  • 調查的重點

第4章 市場動態

  • 推動市場要素
  • 阻礙市場要素
  • 波特的五力分析
    • 供給企業談判力
    • 買方議價能力
    • 新加入業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係
  • 產業的價值鏈分析

第5章 全球通用機器情報市場:各技術

  • 簡介
  • 機器學習
  • 機械視覺
  • 深度學習
  • 自然語言處理

第6章 全球通用機器情報市場:各終端用戶業界

  • 簡介
  • 醫療保健
  • 農業
  • 防衛、航太
  • 教育、研究機關
  • 製造
  • 汽車、運輸
  • 其他

第7章 全球通用機器情報市場:各地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東、非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 以色列
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他

第8章 競爭環境與分析

  • 主要企業策略分析
  • 新興企業和市場收益性
  • 合併,收購,協定,及合作
  • 供應商競爭力矩陣

第9章 企業簡介

  • Nvidia Corporation
  • Google Inc.
  • Intel
  • Microsoft
  • IBM
  • Qualcomm Technologies, Inc.
  • Numenta
  • Equbot
目錄
Product Code: KSI061611225

The global general purpose machine intelligence market is projected to witness a compound annual growth rate of 13.35% to grow to US$4.432 billion by 2027, from US$1.844 billion in 2020.

General-purpose machine Intelligence, also known as general-purpose artificial intelligence, or GPAI, refers to the ability of an AI software to do various tasks like a human being. An AI software program, when it achieves the ability to perform numerous human-like tasks, is known as the GPAI or general-purpose artificial intelligence. The rise in automation and surge in their adoption across numerous industry verticals for better efficiency and productivity has surged the demand for GPAI hence creating promising market prospects. Furthermore, innovation and adoption of advanced technology coupled with robust growth in the defense and aerospace, healthcare, automotive and transportation, and manufacturing provide an exceptional opportunity for the market. Moreover, billions of dollars have been invested in the AI sector for advancement, which fuels the market for GPAI. However, the operation of these GPAI in the ideal environment creates remarkable constraints for the market. AlphaGo, a GPAI introduced by DeepMind Technologies, has the capability of playing numerous computer games, such as Minesweeper, Cheese, and Go. The AI technology works in an ideal environment with no noise and only works based on visual cognition.

Based on geography, the global general-purpose machine intelligence market is segmented into North America, South America, Europe, the Middle East and Africa, and the Asia Pacific. The North American region is forecasted to hold a dominating share in the global market for GPAI owing to superior infrastructure development and early adoption of AI and other supporting technology. The US has a state-of-art infrastructure that supports the market. Furthermore, booming automation across the industries in the country owing to robust innovation and investment is further expected to increase the adoption of GPAI in the country.

Natural Processing Language is expected to hold a notable share of the market.

Based on technology, the global general-purpose machine intelligence market can be distinguished as machine learning, machine vision, deep learning, and natural processing language. Natural process language is forecasted to hold a notable share of the market owing to wider demand and better efficiency. This technology creates an ability in a machine to understand and respond to text and/ or voice data.

The defense and aerospace and automotive, and transportation sectors showcase promising growth prospects for the GPAI industry.

Based on end-user industries, the global general-purpose machine intelligence market is segmented into defense and aerospace, manufacturing, automotive and transportation, agriculture, manufacturing, educational and research, and others. The defense and aerospace and automotive and transportation sectors are expected to hold the largest share in the GPAI market. Adopting new technology and drastic innovations in these industries have opened notable prospects for GPAI. Furthermore, the rise in automation for better productivity and enhanced efficiency provides promising prospects for GPAI. The rise in the advent of electronic vehicles in the automotive industry is forecasted to support the market growth.

In the defense and aerospace industry, the surge in investment and technological innovation is forecasted to expand the market demand in the coming years. The increase in air fleet with the surge in the standard of living and increasing tourism will expand the aerospace industry and hence support the industry demand for GPAI.

Growth Factors

  • The introduction of self-driving cars is expected to create demand for general-purpose machine intelligence.

One of the prime reasons supporting the growth in the global general-purpose machine intelligence market is the introduction of self-driving cars for a comfortable commute. Tesla is the leading company that has introduced self-driving cars around the globe. Innovation in the sector of the self-driving car by numerous market leaders is forecasted to create significant demand for general-purpose machine intelligence and hence drive notable market demand.

  • Huge data flow creating significant data set and real-time application demand is expected to create demand for GPAI.

Another key factor that supports the market for Global General Purpose Machine Intelligence is a rise in digitalization which has created massive data flow and data sets requiring advanced handling and real-time application. With the rise in internet penetration across the globe, data flow has increased at a significant level, creating large data sets. These data sets require scrutinized handling for reducing the chance of errors, hence creating demand for advanced GPMI/ GPAI technology. Furthermore, real-time application required also expands the market demand.

COVID Insights

The coronavirus pandemic increased the market dynamics of general-purpose machine intelligence or GPMI/ GPAI. With the robust increase in the spread of the virus, a nationwide lockdown implemented led to a surge in virtual platforms for numerous economic operations. The rise in digital operations resulted in excessive data flow and the generation of larger data sets, hence creating demand for GPAI. However, lower growth in industries like automotive, defense, and aerospace did limit the market.

Market Segmentation:

  • By Technology

Machine Learning

Machine Vision

Deep Learning

Natural Language Processing

  • By End-Users Industries

Healthcare

Agriculture

Defense and Aerospace

Educational and Research

Manufacturing

Automotive and Transportation

Others

  • By Geography

North America

  • USA
  • Canada
  • Mexico

South America

  • Brazil
  • Argentina
  • Others

Europe

  • Germany
  • France
  • United Kingdom
  • Spain
  • Others

Middle East and Africa

  • Saudi Arabia
  • UAE
  • Israel
  • Others

Asia Pacific

  • China
  • India
  • Japan
  • South Korea
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Definition
  • 1.2. Market Segmentation

2. RESEARCH METHODOLOGY 

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY TECHNOLOGY

  • 5.1. Introduction
  • 5.2. Machine Learning
  • 5.3. Machine Vision
  • 5.4. Deep Learning
  • 5.5. Natural Language Processing 

6. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY END-USER INDUSTRY

  • 6.1. Introduction
  • 6.2. Healthcare
  • 6.3. Agriculture
  • 6.4. Defense and Aerospace
  • 6.5. Educational and Research Institutes 
  • 6.6. Manufacturing
  • 6.7. Automotive and Transportation
  • 6.8. Others 

7. GLOBAL GENERAL PURPOSE MACHINE INTELLIGENCE MARKET, BY GEOGRAPHY 

  • 7.1. Introduction 
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others 
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others 
  • 7.5. Middle East and Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. Israel
    • 7.5.4. Others
  • 7.6. Asia Pacific 
    • 7.6.1. China
    • 7.6.2. India
    • 7.6.3. Japan
    • 7.6.4. South Korea
    • 7.6.5. Others 

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Emerging Players and Market Lucrativeness
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Vendor Competitiveness Matrix

9. COMPANY PROFILES

  • 9.1. Nvidia Corporation
  • 9.2. Google Inc.
  • 9.3. Intel
  • 9.4. Microsoft
  • 9.5. IBM
  • 9.6. Qualcomm Technologies, Inc.
  • 9.7. Numenta
  • 9.8. Equbot