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市場調查報告書
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1444831

情境感知運算 - 市場佔有率分析、產業趨勢與統計、成長預測（2024 - 2029）

Context Aware Computing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3個工作天內

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簡介目錄

情境感知運算市場規模預計到 2024 年將達到 636.3 億美元，預計到 2029 年將達到 1,095.9 億美元，在預測期內（2024-2029 年）CAGR為 11.49%。

上下文感知計算 - 市場

主要亮點

  • 由於全球網路商務平台的使用不斷增加，上下文感知運算（CAC）也隨之增加。 CAC 已成為一項有前途的技術，可提高軟體和硬體的系統範圍內的網路攻擊能力。 CAC 和人工智慧 (AI) 在為公司網路提供複雜的安全性方面具有無限的潛力。例如，情勢感知人工智慧 (CAAI) 可以減少誤報和漏報的可能性，為網路分析師提供準確的結果。
  • 此外，CAAI 可以幫助分析師將企業部門產生的大量資料濃縮為可操作的情報。這種 CAAI 功能對於網路專家駕馭全球企業採用的巨量資料系統至關重要。此外，情勢感知人工智慧運算配備了預測功能，​​對於提前預測資料外洩和預防不良事件非常有用。
  • 智慧型手機、平板電腦和個人電腦等行動裝置的日益普及以及智慧型穿戴裝置的推出預計將推動 CAC 市場的需求。這是因為上下文感知是行動裝置的屬性，被定義為補充位置感知。人工智慧與行動應用程式的整合也推動了市場的發展。例如，人工智慧正迅速成為商業和科學最重要的方面之一，越來越多的領先科技公司對人工智慧投資表現出興趣。
  • 谷歌斥資 4 億美元收購 DeepMind 就是玩家對獲取人工智慧技術興趣日益濃厚的一個典型例子。此外，由於連網汽車、自動駕駛和自動駕駛汽車的發展，預計汽車產業將提供巨大的市場刺激。然而，計算複雜性阻礙了市場擴張。
  • 此外，行動運算的未來將為 CAC 市場在未來幾年的成長提供更多機會。然而，特定的上下文以及資訊存取和傳遞可能會在不久的將來對上下文感知計算市場的成長提出不同的課題。
  • COVID-19 大流行的爆發促進了情勢感知運算市場的成長，因為在家工作模式增加了對安全存取企業資料和網路的需求。此外，由於 5G 可確保強大且快速的網路連接，領先經濟體的 5G 部署預計將推動對先進運算技術的需求。

情境感知運算市場趨勢

消費性電子領域預計將顯著成長

  • 智慧型手機和平板電腦的發展已經遠遠超出了發送簡訊或打電話的能力，它們現在充當個人導航器、儲存設備、遊戲廳和社交中心。
  • 由於智慧型手機配備了各種複雜的感測器，例如加速度計、全球定位系統 (GPS)、麥克風、磁力計和相機等，因此向此類裝置中配備的偵測器添加情勢感知應用程式可以提高使用者體驗經驗。
  • 此外，智慧型手機的發展和運算能力的增強使開發人員能夠創建創新的上下文感知應用程式，這些應用程式可以在任何情況和位置識別與用戶相關的社交和認知行為。
  • 智慧型手機透過調整螢幕亮度以獲得最佳可讀性來響應環境光的方式是上下文感知技術的一個突出例子。由於市場上的每款智慧型手機都具備此功能，因此智慧型手機銷售的成長預計將推動消費性電子產品對情勢感知技術的需求。

北美預計將主導市場

  • 由於其在人工智慧 (AI) 和機器學習 (ML) 技術方面的主導地位，北美是上下文感知運算最重要的市場之一。大多數主要市場供應商都位於美國，這使得該地區在創新方面具有優勢。此外，地方政府越來越鼓勵採用人工智慧、機器學習和情勢感知技術，為市場供應商擴大在該地區的業務創造機會。
  • 該地區擁有一些最先進的上下文感知計算技術用戶和整合商。這些公司包括Google等科技領導者、電子商務巨頭亞馬遜、Visa 等金融機構以及 Verizon 和 AT&T 等電信巨頭，它們不斷採用這項技術來改善客戶服務和產品供應。
  • 亞馬遜、蘋果和谷歌的智慧型設備，如手錶和揚聲器，已經進軍北美市場。在該地區智慧家庭的採用推動下，智慧穿戴裝置擴大整合到物聯網設備中，預計將提振市場。

情境感知運算產業概述

上下文感知計算市場高度分散。由於參與者創建上下文感知應用程式介面（API）來開發創新的商業應用程式，市場競爭變得非常激烈。此外，許多參與者正在以創新和發展的方式進入市場。該行業的一些主要參與者包括 Google LLC、IBM Corporation、Microsoft Corporation、Cisco Systems Inc. 和 Oracle Corporation。

2022 年 4 月，IBM 推出了 IBM z16，這是該公司的下一代系統，具有整合的片上人工智慧 (AI) 加速器，可實現延遲最佳化的推理。這項創新旨在讓客戶能夠大規模分析即時交易，例如信用卡、醫療保健和金融交易。基於 IBM 的安全領先地位，IBM z16 也明確設計用於協助防範可用於破解當今加密技術的近期威脅。

此外，2022 年 3 月，Oracle 雲端基礎架構 (OCI) 推出了新的服務和功能，為客戶提供更大的靈活性。 OCI 擴展了 11 項新的運算、網路和儲存服務及功能，使客戶能夠以更低的成本更快、更安全地運行工作負載。新產品為客戶提供靈活的核心基礎設施服務，自動最佳化資源以滿足應用程式需求並大幅降低成本。沃達豐、三星證券、GoTo 和 Cox Automotive 等全球組織依靠 OCI 來運行從微服務到人工智慧的各種工作負載。

額外的好處：

  • Excel 格式的市場估算 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章：簡介

  • 研究成果
  • 研究假設
  • 研究範圍

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：市場動態

  • 市場概況
  • 市場促進因素
    • 將人工智慧整合到行動應用程式中
    • 整合物聯網產品的興起
  • 市場限制
    • 計算複雜性
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買家/消費者的議價能力
    • 新進入者的威脅
    • 替代產品的威脅
    • 競爭激烈程度
  • Covid-19 對產業影響的評估

第 5 章：市場區隔

  • 類型
    • 硬體
    • 軟體
    • 服務
  • 供應商（定性分析）
    • 設備製造商
    • 行動網路營運商
    • 線上、網路和社交網路供應商
  • 最終用戶產業
    • BFSI
    • 消費性電子產品
    • 媒體與娛樂
    • 汽車
    • 衛生保健
    • 電信
    • 物流運輸
    • 其他最終用戶產業
  • 地理
    • 北美洲
    • 歐洲
    • 亞太
    • 拉丁美洲
    • 中東和非洲

第 6 章：競爭格局

  • 公司簡介
    • IBM Corporation
    • Microsoft Corporation
    • Cisco Systems Inc.
    • Google LLC
    • Oracle Corporation
    • Amazon Web Services Inc.
    • Verizon Communications Inc.
    • Samsung Electronics Co. Ltd
    • Intel Corp.

第 7 章：投資分析

第 8 章：市場機會與未來趨勢

簡介目錄
Product Code: 60352

The Context Aware Computing Market size is estimated at USD 63.63 billion in 2024, and is expected to reach USD 109.59 billion by 2029, growing at a CAGR of 11.49% during the forecast period (2024-2029).

Context Aware Computing - Market

Key Highlights

  • Context-aware computing (CAC) has increased due to the growing use of Internet commerce platforms worldwide. CAC has emerged as a promising technology that can improve the system-wide capabilities of software and hardware to combat cyber-attacks. CAC and artificial intelligence (AI) has limitless potential for providing sophisticated security to company networks. For example, context-aware artificial intelligence (CAAI) can reduce the possibility of false positives and false negatives, delivering accurate results to network analysts.
  • Furthermore, CAAI can assist analysts in condensing the vast volumes of data generated by the corporate sector into actionable intelligence. This CAAI capability is critical for network experts navigating big data systems adopted by businesses worldwide. Moreover, context-aware AI computing is equipped with predictive capabilities that can be extremely useful in anticipating data breaches and preventing adverse events well in advance.
  • The increasing penetration of mobile devices such as smartphones, tablets, and PCs and the introduction of smart wearable devices are expected to drive demand in the CAC market. This is because contextual awareness is a property of mobile devices defined as complementing location awareness. AI integration into mobile apps is also propelling the market. AI, for example, is quickly becoming one of the most important aspects of both business and science, and more leading technology companies are showing interest in AI investment.
  • Google's USD 400 million acquisition of DeepMind is a prime example of players' growing interest in acquiring AI technology. Furthermore, the automotive industry is expected to provide significant market stimulus due to the development of connected cars, self-driving, and autonomous vehicles. However, computational complexities are impeding market expansion.
  • Furthermore, the future of mobile computing will provide additional opportunities for the CAC market to grow in the coming years. However, the specific contexts and information access and delivery may pose different challenges to the growth of the context-aware computing market in the near future.
  • The COVID-19 pandemic outbreak aided the growth of the context-aware computing market, as work-from-home models increased demand for secure access to corporate data and networks. Furthermore, as 5G ensures strong and fast Internet connectivity, 5G rollouts in leading economies are expected to drive demand for advanced computing technologies.

Context Aware Computing Market Trends

Consumer Electronics Segment is Expected to Witness Significant Growth

  • Smartphones and tablets have evolved far beyond the ability to send text messages or make phone calls, and they now serve as personal navigators, storage devices, arcades, and social hubs.
  • Due to the reason that smartphones are equipped with a variety of sophisticated sensors, such as accelerometers, a global positioning system (GPS), microphones, magnetometers, and cameras, among others, adding context-aware applications to detectors equipped in such devices improves user experience.
  • Furthermore, the evolution of smartphones and increasing computational power have enabled developers to create innovative context-aware applications that recognize user-related social and cognitive actions in any situation and location.
  • The way smartphones respond to ambient light by adjusting screen brightness for optimal readability is a prominent example of context-aware technologies. Since this feature is available in every smartphone on the market, the rise in smartphone sales is expected to drive demand for context-aware technology in consumer electronics.

North America is Expected to Dominate the Market

  • Because of its dominance in artificial intelligence (AI) and machine learning (ML) technologies, North America is one of the most important markets for context-aware computing. Most of the major market vendors are based in the United States, giving the region an advantage in innovation. Furthermore, regional governments are increasingly encouraging the adoption of AI, ML, and context-aware technologies, creating opportunities for market vendors to expand their presence in the region.
  • The region is home to some of the most advanced users and integrators of context-aware computing technology. These companies include technology leaders like Google, e-commerce behemoth Amazon, financial institutions like Visa, and telecom behemoths like Verizon and AT&T, which have constantly incorporated this technology to improve customer service and product offerings.
  • Amazon, Apple, and Google smart devices, such as watches and speakers, have made inroads into the North American market. The increased integration of smart wearables into IoT devices, fueled by the region's adoption of smart homes, is expected to boost the market.

Context Aware Computing Industry Overview

The context aware computing market is highly fragmented. Due to players creating context-aware application programming interface (API) for the development of innovative commercial applications, the market is becoming very competitive. Moreover, many players are entering the market with innovation and development. Some of the key players in the industry are Google LLC, IBM Corporation, Microsoft Corporation, Cisco Systems Inc., and Oracle Corporation.

In April 2022, IBM introduced the IBM z16, the company's next-generation system with an integrated on-chip artificial intelligence (AI) accelerator that enables latency-optimized inference. This innovation is intended to allow clients to analyze real-time transactions at scale, such as credit card, healthcare, and financial transactions. Building on IBM's security leadership, the IBM z16 is also explicitly designed to help protect against near-future threats that could be used to crack today's encryption technologies.

Furthermore, in March 2022, Oracle Cloud Infrastructure (OCI) launched new services and capabilities to give customers greater flexibility. OCI expanded with 11 new computing, networking, and storage services and capabilities, allowing customers to run workloads faster and more securely at a lower cost. New offerings provide customers with flexible core infrastructure services, automatically optimizing resources to match application requirements and significantly lowering costs. Global organizations such as Vodafone, Samsung Securities, GoTo, and Cox Automotive rely on OCI to run various workloads, from microservices to AI.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Integration of Artificial Intelligence into Mobile Apps
    • 4.2.2 Rise in Integrated IoT Offerings
  • 4.3 Market Restraints
    • 4.3.1 Computational Complexities
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Bargaining Power of Suppliers
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Threat of New Entrants
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry
  • 4.6 Assessment of Impact of Covid-19 on the Industry

5 MARKET SEGMENTATION

  • 5.1 Type
    • 5.1.1 Hardware
    • 5.1.2 Software
    • 5.1.3 Services
  • 5.2 Vendor (Qualitative Analysis)
    • 5.2.1 Device Manufacturers
    • 5.2.2 Mobile Network Operators
    • 5.2.3 Online, Web, and Social Networking Vendors
  • 5.3 End-user Industry
    • 5.3.1 BFSI
    • 5.3.2 Consumer Electronics
    • 5.3.3 Media and Entertainment
    • 5.3.4 Automotive
    • 5.3.5 Healthcare
    • 5.3.6 Telecommunication
    • 5.3.7 Logistics and Transportation
    • 5.3.8 Other End-user Industries
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia-Pacific
    • 5.4.4 Latin America
    • 5.4.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 Microsoft Corporation
    • 6.1.3 Cisco Systems Inc.
    • 6.1.4 Google LLC
    • 6.1.5 Oracle Corporation
    • 6.1.6 Amazon Web Services Inc.
    • 6.1.7 Verizon Communications Inc.
    • 6.1.8 Samsung Electronics Co. Ltd
    • 6.1.9 Intel Corp.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS