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市场调查报告书
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1505152

人工智慧市场规模、份额、成长分析:按产品/服务、技术、应用、地区分类 - 产业预测,2024-2031

Artificial Intelligence Market Size, Share, Growth Analysis, By Product & Service, By Technology(Machine Learning, Natural Language Processing ), By Industry, By Region - Industry Forecast 2024-2031

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5个工作天内

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简介目录

2022年人工智慧市场规模为1,578亿美元,预计将从2023年的2,859亿美元成长到2031年的1.047兆美元,复合年增长率预计将成长15.92%。

人工智慧是一种允许电脑模仿人类智慧和解决问题的能力的技术,通常与地理定位、感测器和机器人等其他技术结合使用,以提高电脑模仿人类干预的能力,通常与地理定位、感测器和机器人等其他技术结合使用,以提高电脑模仿人类干预的能力。日常使用的人工智慧范例包括数位助理、自动驾驶汽车、GPS 导航系统和 ChatGPT 等工具。对更快计算和利用资料驱动的人工智慧的需求不断增长是推动市场成长的关键因素。根据摩尔定律,与先前的两年周期相比,训练大规模人工智慧模型所需的资源大约每 3.4 个月就会翻倍。这种快速进步凸显了人工智慧技术的指数级发展,并提高了其效能和可用性。此外,许多机器人新兴企业正在整合人工智慧来开发和自动化新系统。例如,Olis Robotics 等公司正在透过人工智慧软体支援的即插即用控制进行创新。在牛津大学,人工智慧的进步正在开发新的软体,可以单独识别和追踪自然栖息地中的黑猩猩等濒危物种,帮助更有效地保护工作,并节省时间和资源。深度学习创新透过改善影像识别、语音辨识和自然语言处理,进一步增强人工智慧的力量,提高各种应用的效率和准确性。

目录

介绍

  • 这项研究的目的
  • 定义
  • 市场范围

调查方法

  • 资讯采购
  • 二手资料来源和主要资料来源
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 市场概况展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场动态
    • 促进因素
    • 机会
    • 抑制因素
    • 任务
  • 波特的分析

主要市场考察

  • 技术分析
  • 价格分析
  • 价值链分析
  • 市场生态系统
  • Start-Ups分析
  • 案例研究分析
  • 专利分析
  • 监管环境
  • 创新矩阵
  • 主要投资分析
  • 关键成功因素
  • 竞争程度

人工智慧市场:依产品/服务分类

  • 市场概况
  • 硬体
  • 软体
  • 服务

人工智慧市场:依技术分类

  • 市场概况
  • 机器学习
  • 自然语言处理(NLP)
  • 人工智慧世代
  • 机器人技术
  • 电脑视觉
  • 自主/感测器技术

人工智慧市场:按应用分类

  • 市场概况
  • 技术/通讯
  • 汽车/组装
  • 财务业务
  • 卫生保健
  • 商业、法律和专业服务
  • 消费品/零售
  • 其他的

人工智慧市场:按地区划分

  • 市场概况
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲 (MEA)
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲地区

竞争格局

  • 前5名企业对比
  • 主要企业市场定位(2023年)
  • 主要市场参与者所采取的策略
  • 近期市集活动
  • 主要企业市场占有率(2023年)

主要企业简介

  • Microsoft
  • Alphabet Inc
  • OpenAI
  • NVIDIA Corp
  • Meta Platforms Inc
  • IBM
  • Apple Inc
  • DataRobot Inc.
  • Cohere
  • H2O.ai
简介目录
Product Code: SQMIG45C2073

Artificial Intelligence Market size was valued at USD 157.8 Billion in 2022 and is poised to grow from USD 285.9 Billion in 2023 to USD 1,047.0 Billion by 2031, at a CAGR of 15.92% during the forecast period (2024-2031).

Artificial Intelligence (AI) is a technology enabling computers to mimic human intelligence and problem-solving abilities, often in conjunction with other technologies like geolocation, sensors, and robotics to handle tasks traditionally requiring human intervention. Examples of AI in everyday use include digital assistants, autonomous vehicles, GPS navigation systems, and tools such as ChatGPT. The increasing demand for faster computations and the use of data-driven AI are key drivers propelling market growth. Advances in computing power have significantly boosted AI capabilities, with Moore's Law indicating a doubling of resources required to train large AI models approximately every 3.4 months, compared to the previous two-year cycle. This rapid progress underscores the exponential evolution of AI technology, enhancing its performance and availability. Moreover, many robotics startups are integrating AI to develop and automate new systems. For instance, firms like Olis Robotics are innovating with plug-and-play controls enhanced by AI-powered software. At Oxford University, AI advancements have led to new software capable of individually identifying and tracking endangered species like chimpanzees in their natural habitats, aiding conservation efforts more efficiently and reducing time and resource expenditures. Innovations in deep learning further enhance AI capabilities by improving image and voice recognition and natural language processing, expanding its efficiency and accuracy in various applications.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence Market Segmental Analysis

Global Artificial Intelligence Market is segmented into product & service, technology, industry, and region. By product & services, it is segmented Hardware, Software, Services. Further, hardware is bifurcated into Central Processing Units, Graphics Processing Units, Tensor Processing Units, and Application-Specific Integrated Circuits. Software is bifurcated into On-premises & cloud. By technology, it is segmented into machine learning, natural language processing (NLP), generative AI, robotics, computer vision, Autonous & Sensor technology. Machine learning is further bifurcated into Deep learning & Predictive analytics. By industry, the market is segmented into technology and communication, automotive & assembly, financial services, healthcare, business, legal, & professional services, consumer goods/ retail, & others. By region, the market is segmented into North America, Asia Pacific, Europe, Latin America, and MEA.

Drivers of the Artificial Intelligence Market

The introduction of customizable AI models marks a significant advancement in the AI market. In 2024, Microsoft launched Model Customization for Azure AI, an engineering service aimed at accelerating co-innovation with customers to deliver personalized AI solutions. Unlike traditional offerings, this initiative facilitates close collaboration between selected customers and Microsoft's engineering and research teams to tailor AI models to specific needs. By democratizing AI adoption, Microsoft empowers companies, including those with limited AI expertise, to utilize pre-built tools and engage in model customization. This approach effectively lowers entry barriers and enhances the relevance of AI solutions, addressing diverse industry challenges and driving market growth.

Restraints in the Artificial Intelligence Market

Data privacy and security are top concerns for 80% of AI decision makers. Building trust with GenAI requires users to be confident their data is used responsibly. Unfortunately, only 10% of organizations have a reliable system to measure potential bias and privacy risks within their large language models (LLMs). This lack of transparency hinders adoption. In 2024, federal intelligence agencies warn that Generative AI poses threat to election security. The legal landscape surrounding GenAI is still evolving, and many businesses are unprepared. A staggering 93% of U.S. companies lack a comprehensive governance framework for GenAI, leaving them vulnerable to non-compliance with upcoming regulations.

Market Trends of the Artificial Intelligence Market

The rise in consumer adoption of AI-powered devices signifies a substantial trend driving demand in the AI market. As consumers increasingly integrate AI-powered devices like smart speakers, virtual assistants, and smart home systems into their daily lives, there is a corresponding surge in demand for products offering these capabilities. In 2022, 62% of adults in the United States use voice-assisted devices, while 100 million individuals, comprising 35% of adults aged 18 and above, own at least one smart speaker. This represents a notable increase from 82 million people, or 32% of the same demographic, who owned smart speakers in 2021. The widespread acceptance of voice-assisted devices and smart speakers among Americans underscores a growing appetite for advanced AI solutions.

Table of Contents

Introduction

  • Objectives of the Study
  • Definitions
  • Market Scope

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Sources
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Market Overview Outlook
  • Supply Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Dynamics
    • Drivers
    • Opportunities
    • Restraints
    • Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of Substitute Products
    • Bargaining Power of Buyers
    • Threat of New Entrants
    • Bargaining Power of Suppliers

Key Market Insights

  • Technology Analysis
  • Pricing Analysis
  • Value Chain Analysis
  • Ecosystem of the Market
  • Start-up Analysis
  • Case Study Analysis
  • Patent Analysis
  • Regulatory Landscape
  • Innovation Matrix
  • Top Investment Analysis
  • Key Success Factor
  • Degree of Competition

Global Artificial Intelligence Market by Product & Service

  • Market Overview
  • Hardware
  • Software
  • Service

Global Artificial Intelligence Market by Technology

  • Market Overview
  • Machine Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Robotics
  • Computer Vision
  • Autonomous and Sensor Technology

Global Artificial Intelligence Market by Application

  • Market Overview
  • Technology and Communication
  • Automotive & Assembly
  • Financial Services
  • Healthcare
  • Business, Legal, & Professional Services
  • Consumer Goods/ Retail
  • Others

Global Artificial Intelligence Market Size by Region

  • Market Overview
  • North America
    • USA
    • Canada
  • Europe
    • Germany
    • Spain
    • France
    • UK
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC Countries
    • South Africa
    • Rest of MEA

Competitive Landscape

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Activities in the Market
  • Key Companies Market Share (%), 2023

Key Company Profiles

  • Microsoft
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alphabet Inc
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • OpenAI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corp
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Meta Platforms Inc
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Apple Inc
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot Inc.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cohere
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments