邊緣人工智慧軟體全球市場規模、佔有率、成長分析：按組件、資料來源分類 - 產業預測（2024-2031）

Global Edge AI Software Market Size, Share, Growth Analysis, By Component(Solutions and Services), By Data Source(Video & Image Recognition, Iris & Facial Data) - Industry Forecast 2024-2031

出版日期: 2024年03月25日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022年全球邊緣人工智慧軟體市場規模將為14.8億美元，從2023年的18.4億美元擴大到2031年的103.3億美元，並預計在預測期內（2024-2031年）持續成長。年複合成長率為24.10%。

透過利用邊緣人工智慧軟體來實現資料生成和決策等即時流程。在生產過程中，將採用邊緣人工智慧軟體來延長穿戴式裝置的電池壽命。透過 Edge AI 軟體，您可以在雲端儲存大量資料，提高資料隱私性，並避免串流相關問題。此外，由於其多雲支援和最先進的人工智慧分析軟體，該軟體也被用於企業和通訊領域。這使您可以在短時間內完成完整的操作。邊緣人工智慧的突破開啟了一個充滿可能性的新時代，汽車產業也不例外。此外，由於新技術的引入，自動駕駛汽車市場預計將快速成長，而邊緣運算對於這一成長至關重要。商業專家預測，邊緣人工智慧運算將提供比 4G 網路更好的資料管治、更便宜的定價和更快的洞察，為企業創造新的機會。邊緣人工智慧通常提供較少的資料，從而降低資料通訊成本。本地處理也不會將資料隱私置於風險之中。

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 其他歐洲國家
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲
中東和非洲 (MEA)
- 海灣合作理事會國家
- 南非
- 其他中東/非洲

競爭格局

前5名企業對比
主要企業市場定位（2021年）
主要市場參與者所採取的策略
關鍵成功策略
近期市集活動
主要企業市場佔有率（2021年）

主要企業簡介

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）

簡介目錄

Product Code: SQMIG45E2169

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.

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