边缘人工智慧软体全球市场规模、份额、成长分析：按组件、资料来源划分 - 产业预测（2024-2031）

2022年全球边缘人工智慧软体市场规模将为14.8亿美元，从2023年的18.4亿美元扩大到2031年的103.3亿美元，并预计在预测期内（2024-2031年）持续增长。2018年复合年成长率为24.10%）。

透过利用边缘人工智慧软体来实现资料生成和决策等即时流程。在生产过程中，将采用边缘人工智慧软体来延长穿戴式装置的电池寿命。透过 Edge AI 软体，您可以在云端储存大量资料，提高资料隐私性，并避免串流相关问题。此外，由于其多云支援和最先进的人工智慧分析软体，该软体也被用于企业和通讯领域。这使您可以在短时间内完成完整的操作。边缘人工智慧的突破开启了一个充满可能性的新时代，汽车产业也不例外。此外，由于新技术的引入，自动驾驶汽车市场预计将快速成长，而边缘运算对于这一成长至关重要。商业专家预测，边缘人工智慧运算将提供比 4G 网路更好的资料管治、更便宜的定价和更快的洞察，为企业创造新的机会。边缘人工智慧通常提供较少的资料，从而降低资料通讯成本。本地处理也不会将资料隐私置于风险之中。

目录

执行摘要

• 市场概况
• 转型

调查方法

• 资讯采购
• 次要/一级资讯来源
• 市场规模估算
• 市场假设与限制

母市场分析

• 市场概况
• 市场规模
• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务

主要市场考察

• 技术分析
• 价格分析
• 供应链分析
• 价值链分析
• 市场生态系统
• 智慧财产权分析
• 贸易分析
• Start-Ups分析
• 原料分析
• 创新矩阵
• 研发线产品分析
• 总体经济指标
• 主要投资分析
• 关键成功因素
• 竞争程度

市场动态及展望

• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务
• 监管环境
• 波特的分析
• 对未来中断的特殊考虑

全球边缘人工智慧软体市场：按组成部分

• 市场概况
• 解决方案和服务

全球边缘人工智慧软体市场：按资料来源划分

• 市场概况
• 视讯和图像识别
• 虹膜和脸部资料
• 感测器资料
• 行动资料
• 语音辨识

全球边缘人工智慧软体市场规模：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
• 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
• 中东和非洲 (MEA)
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲

竞争格局

• 前5名企业对比
• 主要企业市场定位（2021年）
• 主要市场参与者所采取的策略
• 关键成功策略
• 近期市集活动
• 主要企业市场占有率（2021年）

主要企业简介

• NVIDIA Corporation（United States）
• Intel Corporation（United States）
• Google LLC（United States）
• Microsoft Corporation（United States）
• IBM Corporation（United States）
• Qualcomm Technologies, Inc.（United States）
• Apple Inc.（United States）
• Huawei Technologies Co., Ltd.（China）
• Amazon Web Services, Inc.（United States）
• Samsung Electronics Co., Ltd.（South Korea）
• Cisco Systems, Inc.（United States）
• Dell Technologies, Inc.（United States）
• Baidu, Inc.（China）
• Alibaba Group Holding Limited（China）
• Tencent Holdings Limited（China）
• HPE（Hewlett Packard Enterprise）Company（United States）
• Fujitsu Limited（Japan）
• NEC Corporation（Japan）
• Advanced Micro Devices, Inc.（United States）
• Xilinx, Inc.（United States）
• Cognex Corporation（United States）
• Edge Impulse（Netherlands）

Global Edge AI Software Market size was valued at USD 1.48 Billion in 2022 and is poised to grow from USD 1.84 Billion in 2023 to USD 10.33 Billion by 2031, at a CAGR of 24.10% during the forecast period (2024-2031).

Real-time processes such as data production and decision-making are made possible by the utilization of edge AI software. During the production process, edge AI software is employed to extend the battery life of wearable devices. With the help of edge AI software, massive amounts of data may be stored in the cloud, improving data privacy and avoiding streaming-related issues. Additionally, because it supports several clouds and enables the usage of state-of-the-art AI analytical software, this software is utilized in the enterprise and telecom sectors. This helps to achieve full action in a shorter length of time. Edge AI breakthroughs have ushered in a new era of potential, and the automobile sector is no exception. Furthermore, it is projected that the market for autonomous vehicles will grow quickly with the introduction of new technology, and edge computing will be crucial to this growth. business experts predict that edge AI computing will offer better data governance, cheaper pricing, and faster insights than 4G networks, creating new opportunities for the business. Edge AI typically results in lower data communication costs because less data will be delivered. Local processing does not jeopardize the data's privacy.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Edge AI Software 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.

Global Edge AI Software Market Segmental Analysis

Global Edge AI Software Market is segmented on the basis of component, data source and region. By component, the market is segmented into solutions and services. By data source, market is segmented into video & image recognition, iris & facial data, sensor data, mobile data, speech recognition. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.

Drivers of the Global Edge AI Software Market

Since many employees have found that working from home increases productivity, businesses have realized that telecommuting can save infrastructure and office space costs. There will be a rise in the need for remote work as a result. To facilitate collaboration among distant workers, companies are investing in technologies such as project management software, cloud-based file-sharing platforms, and virtual meeting platforms. As the use of remote work increases, cybersecurity measures are becoming more and more important to guarantee that employees can access company networks and data safely.

Restraints in the Global Edge AI Software Market

In comparison to cloud-based systems, edge devices-such as smartphones, IoT devices, and edge servers-frequently have lower processing power. This limitation may have an effect on the functionality and performance of Edge AI software solutions by limiting the complexity and scale of AI algorithms that may be used at the edge.

Market Trends of the Global Edge AI Software Market

There is growing prevalence of edge computing and cloud computing coming together. Organizations can take use of the advantages of both edge and cloud computing by utilizing edge-based inferencing, cloud-based model training, and smooth data transfer made possible by edge AI software solutions. The need for Edge AI software to provide dependable solutions across a range of applications is growing due to this trend.

AI on the Cusp of Reality The need for artificial intelligence (AI) capabilities that are directly applied at the edge of networks and devices to facilitate data analysis and decision-making is growing, and this demand is represented by processing. Edge artificial intelligence software is crucial for applications where split-second reactions are required, such as industrial automation, augmented reality, and autonomous vehicles. The necessity for quick data processing in situations when prompt decisions and actions are critical is being addressed by this trend, which makes edge AI a crucial component of contemporary computing solutions.

Table of Contents

Executive Summary

• Market Overview
• Wheel of Fortune

Research Methodology

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

Parent Market Analysis

• Market Overview
• Market Size
• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges

Key Market Insights

• Technology Analysis
• Pricing Analysis
• Supply Chain Analysis
• Value Chain Analysis
• Ecosystem of the Market
• IP Analysis
• Trade Analysis
• Startup Analysis
• Raw Material Analysis
• Innovation Matrix
• Pipeline Product Analysis
• Macroeconomic Indicators
• Top Investment Analysis
• Key Success Factor
• Degree of Competition

Market Dynamics & Outlook

• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges
• Regulatory Landscape
• Porters Analysis
  • Competitive rivalry
  • Threat of Substitute Products
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers
• Skyquest Special Insights on Future Disruptions
  • Political Impact
  • Economic Impact
  • Social Impact
  • Technical Impact
  • Environmental Impact
  • Legal Impact

Global Edge AI Software Market by Component

• Market Overview
• Solutions and Services

Global Edge AI Software Market by Data Source

• Market Overview
• Video & Image Recognition
• Iris & Facial Data
• Sensor Data
• Mobile Data
• Speech Recognition

Global Edge AI Software 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, 2021
• Strategies Adopted by Key Market Players
• Top Winning Strategies
  • By Development
  • By Company
  • By Year
• Recent Activities in the Market
• Key Companies Market Share (%), 2021

Key Company Profiles

• NVIDIA Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google LLC (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qualcomm Technologies, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Apple Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Huawei Technologies Co., Ltd. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Samsung Electronics Co., Ltd. (South Korea)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cisco Systems, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Dell Technologies, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Baidu, Inc. (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alibaba Group Holding Limited (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tencent Holdings Limited (China)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• HPE (Hewlett Packard Enterprise) Company (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Fujitsu Limited (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NEC Corporation (Japan)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Advanced Micro Devices, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Xilinx, Inc. (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cognex Corporation (United States)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Edge Impulse (Netherlands)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments