市場調査レポート

商品コード

1458129

エッジAIソフトウェアの世界市場規模、シェア、成長分析：コンポーネント別、データソース別 - 産業予測（2024年～2031年）

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: 2024年03月25日 | 発行: SkyQuest

| ページ情報: 英文 197 Pages | 納期: 3～5営業日

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概要
目次

概要

サンプル依頼リストに入れる

世界のエッジAIソフトウェアの市場規模は、2022年に14億8,000万米ドルとなり、2023年の18億4,000万米ドルから2031年には103億3,000万米ドルに拡大し、予測期間中（2024年～2031年）にCAGR24.10%で成長すると予測されています。

データ生産や意思決定などのリアルタイム・プロセスは、エッジAIソフトウェアの活用によって可能になります。生産プロセスにおいて、エッジAIソフトウェアはウェアラブルデバイスのバッテリー寿命を延ばすために採用されます。エッジAIソフトウェアの助けを借りて、大量のデータをクラウドに保存し、データのプライバシーを向上させ、ストリーミング関連の問題を回避することができます。さらに、複数のクラウドをサポートし、最先端のAI分析ソフトウェアを使用できるため、このソフトウェアは企業や通信分野で活用されています。これにより、短時間で完全なアクションを達成することができます。エッジAIのブレークスルーは新たな可能性の時代を切り開きましたが、自動車分野も例外ではありません。さらに、自律走行車の市場は新技術の導入により急成長すると予測されており、この成長にはエッジ・コンピューティングが不可欠となります。ビジネスの専門家は、エッジAIコンピューティングは4Gネットワークよりも優れたデータガバナンス、安価な価格設定、迅速な洞察を提供し、ビジネスに新たな機会を創出すると予測しています。エッジAIは通常、配信されるデータが少ないため、データ通信コストが低くなります。ローカル処理によってデータのプライバシーが危険にさらされることもありません。

技術分析
価格分析
サプライチェーン分析
バリューチェーン分析
市場のエコシステム
IP分析
貿易分析
スタートアップ分析
原材料の分析
イノベーションマトリクス
パイプライン製品の分析
マクロ経済指標
主な投資の分析
主な成功要因
競合の程度

市場力学と見通し

市場力学
- 促進要因
- 機会
- 抑制要因
- 課題
規制情勢
ポーターの分析
将来の混乱についての特別な考察

エッジAIソフトウェアの世界市場：コンポーネント別

市場概要
ソリューションとサービス

エッジAIソフトウェアの世界市場：データソース別

市場概要
ビデオと画像の認識
虹彩と顔のデータ
センサーデータ
モバイルデータ
音声認識

エッジAIソフトウェアの世界市場規模：地域別

市場概要
北米
- 米国
- カナダ
欧州
- ドイツ
- スペイン
- フランス
- 英国
- その他欧州
アジア太平洋
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ
中東・アフリカ（MEA）
- GCC諸国
- 南アフリカ
- その他中東・アフリカ

競合情勢

上位5社の比較
主要企業の市場ポジショニング（2021年）
主要市場企業が採用した戦略
主要成功戦略
市場における最近の活動
主要企業の市場シェア（2021年）

主要企業プロファイル

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）

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