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1558348

到 2030 年的情境感知計算市場預測：按產品類型、組件、網路類型、情境類型、最終用戶和地區進行的全球分析

Context Aware Computing Market Forecasts to 2030 - Global Analysis By Product, Component, Network Type, Context Type, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球情境感知計算市場規模達 692 億美元，預計預測期內複合年成長率為 20.6%，到 ​​2030 年將達到 2,128 億美元。

情境感知計算是指計算系統被設計為即時識別和適應環境和使用者情境的範例。這包括系統收集、解釋和回應各種情境資訊的能力，例如位置、時間、使用者活動和環境條件。透過利用感測器、資料來源和先進演算法，情境感知系統可以根據特定情況自訂功能和使用者互動。例如，情境感知智慧型手機可以在會議期間自動切換到靜音模式，或根據位置推薦附近的餐廳。

根據國際資料公司 (IDC) 和全球智慧家居設備季度追蹤報告，預計 2023 年全球智慧設備出貨量將達到約 13.9 億台。

物聯網設備的使用增加

物聯網 (IoT) 設備的使用日益廣泛，可提供對使用者環境和行為更豐富、更詳細的了解，是情境感知運算的重大進步。智慧感測器、穿戴式裝置和連接型家電等物聯網裝置不斷收集有關實體環境、使用者活動和環境條件的資料。這些資料使系統能夠更準確地推斷上下文。例如，它將能夠識別使用者何時家用、他們當前的活動，甚至他們的心情。例如，智慧恆溫器可以根據使用者的存在和健身調整溫度設置，穿戴式健身追蹤器可以監控健康指標並提案個人化的健康習慣。

資料安全和隱私問題

情境感知計算依靠有關用戶行為和環境的即時資料來提供個人化服務，但由於資料安全和隱私問題而面臨重大障礙。這些系統收集和處理大量敏感資訊，包括位置資訊、健康指標和個人偏好，從而產生濫用和未授權存取的潛在風險。收集的資料越多，暴露或洩漏導致隱私侵犯或身分盜竊的風險就越大。使用者對資料的使用方式以及誰有權存取資料變得越來越謹慎，導致對上下文感知技術的不信任。

對個人化使用者體驗的需求不斷成長

對個人化使用者體驗不斷成長的需求正在推動情境感知運算領域的發展，該領域專注於建立即時適應使用者需求和環境的系統。情境感知計算利用各種來源的資料（包括位置、時間、使用者活動和環境條件）來提供客製化互動。隨著用戶期望更個人化的體驗，技術正在不斷發展，以更準確地處理和解釋上下文資訊。這包括整合來自穿戴式裝置、智慧型手機和物聯網 (IoT) 感測器的資料，以了解用戶偏好和行為。

標準化問題

標準化問題帶來了碎片化和互通性挑戰，嚴重阻礙了情境感知計算（CAC）的進步。缺乏標準化通訊協定和框架使得開發人員很難確保上下文感知應用程式能夠跨不同平台和裝置工作，從而導致用戶體驗不一致和功能減少。缺乏通用標準也使資料共用和整合變得複雜，而這對於有效集中和分析上下文相關資訊至關重要。這種碎片化阻礙了 CAC 技術的廣泛採用，並限制了其潛在的好處，例如個人化服務和增強的使用者互動。

COVID-19 的影響：

COVID-19 的爆發對情境感知計算產生了重大影響，該領域專注於根據使用者情境進行調整的系統。遠距工作和線上活動的激增凸顯了情境感知技術的優點和限制。對增強虛擬協作工具的需求刺激了情境感知系統如何管理和最佳化遠端互動的創新，從改善視訊會議體驗到自動化家庭辦公室環境。向數位環境的快速過渡暴露了用戶隱私和安全方面的差距。這次疫情凸顯了這些技術需要在功能與強大的隱私保護之間取得平衡，情境感知運算的發展。

預計活動地圖部分在預測期內將是最大的

預計活躍地圖部分在預測期內將達到最大值。 Active Maps 透過整合即時環境資料和使用者互動來提供高度相關的資訊和服務，從而徹底改變了情境感知計算。透過利用先進的地圖技術和情境感知，Active Maps 能夠分析您的位置、動作和偏好，為您提供個人化的體驗。例如，當您在城市中導航時，它可以根據您的用餐偏好提案附近的餐廳、提供有關交通狀況的警報並突出顯示興趣點。

無線區域網路領域預計在預測期內複合年成長率最高。

無線區域網路領域預計在預測期內將實現最高的複合年成長率，因為它提供無縫的即時連接，使設備能夠更有效地收集和利用上下文資訊。 WLAN 的動態和普遍性使設備能夠保持連接並交換資料，而不受有線連接的限制。例如，連接 WLAN 的智慧型手機可以偵測其在建築物內的位置並相應地調整其服務，例如根據其位置提供通知或根據附近的設備調整設定。這種適應不斷變化的環境的能力提高了從智慧家庭到企業環境等各種應用程式的使用者體驗和業務效率。

比最大的地區

估計期間，北美地區佔據最大的市場佔有率。 5G 網路的到來透過提供前所未有的速度和大規模連接，正在徹底改變北美的情境感知。這種新一代網路將增強設備即時處理上下文資訊並做出反應的能力，從而培育更智慧、響應更靈敏的應用程式。 5G 的高頻寬允許以最小的延遲集中和分析來自各種感測器和來源的資料，從而實現更準確、更及時的上下文感知服務。例如，智慧城市可以透過即時資料處理最佳化交通流量並提高公共安全，企業可以利用進階分析來提供個人化的客戶體驗。

複合年成長率最高的地區：

預計歐洲地區在預測期內將保持盈利成長。 《一般資料保護規範》(GDPR) 就是一個典型的例子，它要求對個人資料的收集、處理和儲存方式採取嚴格的指導方針。這些法規和政策要求公司設計尊重用戶隱私的系統並提供透明的資料使用政策。透過執行這些標準，歐洲法規增強了使用者之間的信任並鼓勵廣泛採用 CAC 技術。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 產品分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球情境感知計算市場：依產品

  • 活動地圖
  • 自我調整電話
  • 擴增實境
  • 會議助理
  • 購物助理

第6章全球情境感知計算市場：按組成部分

  • 服務
  • 軟體
  • 硬體

第 7 章：全球情境感知計算市場：按網路類型

  • 近身通訊
  • 無線蜂巢式網路
  • 無線寬頻區域網路
  • 無線個人區域網路

第8章全球情境感知計算市場：依脈絡類型

  • 計算環境
  • 物理環境
  • 時間背景
  • 使用者情境

第9章全球情境感知計算市場：依最終用戶分類

  • 車
  • 消費品
  • 政府和公共部門
  • 媒體和娛樂
  • 通訊/IT
  • 其他最終用戶

第10章全球情境感知計算市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • Amazon Web Services Inc
  • Apple Inc
  • Cisco Systems, Inc
  • Google LLC
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Salesforce, Inc
  • Verizon Communications, Inc
Product Code: SMRC27222

According to Stratistics MRC, the Global Context Aware Computing Market is accounted for $69.2 billion in 2024 and is expected to reach $212.8 billion by 2030 growing at a CAGR of 20.6% during the forecast period. Context-aware computing refers to a paradigm where computing systems are designed to recognize and adapt to their environment and user context in real-time. This involves the system's ability to gather, interpret, and respond to various contextual information such as location, time, user activity, and environmental conditions. By leveraging sensors, data sources, and advanced algorithms, context-aware systems can tailor their functionality and user interactions to suit specific situations. For instance, a context-aware smartphone might automatically switch to silent mode during meetings or provide location-based recommendations for nearby restaurants.

According to the International Data Corporation (IDC) and Worldwide Quarterly Smart Home Device Tracker report, global shipments of smart devices are estimated to reach around 1.39 billion units in 2023.

Market Dynamics:

Driver:

Increased use of IoT devices

The increased use of Internet of Things (IoT) devices is significantly advancing Context-Aware Computing by providing a richer and more detailed understanding of users' environments and behaviors. IoT devices, such as smart sensors, wearables, and connected home appliances, continuously collect data about physical surroundings, user activities, and environmental conditions. This data enables systems to infer context more accurately-such as recognizing when a user is at home, their current activity, or even their mood. For instance, smart thermostats can adjust temperature settings based on user presence and preferences, while wearable fitness trackers can monitor health metrics and suggest personalized wellness routines.

Restraint:

Data security and privacy concerns

Context-aware computing, which relies on real-time data about user behavior and environment to provide personalized services, faces significant hurdles due to data security and privacy concerns. As these systems collect and process vast amounts of sensitive information, including location, health metrics, and personal preferences, they create potential risks for misuse or unauthorized access. The more data collected, the greater the risk of exposure or breaches, which can lead to privacy invasions and identity theft. Users are increasingly wary of how their data is used and who has access to it, leading to distrust in context-aware technologies.

Opportunity:

Rising demand for personalized user experiences

The increasing demand for personalized user experiences is significantly advancing the field of Context-Aware Computing, which focuses on creating systems that adapt to users' needs and environments in real time. Context-Aware Computing leverages data from various sources such as location, time, user activity, and environmental conditions to deliver tailored interactions. As users expect more individualized experiences, technologies are evolving to process and interpret contextual information more accurately. This includes integrating data from wearable devices, smartphones, and IoT (Internet of Things) sensors to understand user preferences and behaviors.

Threat:

Standardization issues

Standardization issues significantly hinder the progress of Context-Aware Computing (CAC) by creating fragmentation and interoperability challenges. Without standardized protocols and frameworks, developers face difficulties in ensuring their context-aware applications work across various platforms and devices, leading to inconsistent user experiences and reduced functionality. The lack of universal standards also complicates data sharing and integration, which are crucial for the effective aggregation and analysis of context-related information. This fragmentation impedes the widespread adoption of CAC technologies and limits their potential benefits, such as personalized services and enhanced user interactions.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted context-aware computing, a field focused on systems that adapt based on the context of users. The surge in remote work and online activities highlighted both the strengths and limitations of context-aware technologies. The need for enhanced virtual collaboration tools spurred innovations in how context-aware systems manage and optimize remote interactions, from improving video conferencing experiences to automating home office environments. The rapid shift to digital environments exposed gaps in user privacy and security, as context-aware systems often rely on sensitive personal data. The pandemic underscored the need for these technologies to balance functionality with robust privacy protections, ensuring that context-aware computing evolves to support a more connected, yet secure, digital landscape in the post-pandemic world

The Active Maps segment is expected to be the largest during the forecast period

Active Maps segment is expected to be the largest during the forecast period. Active Maps is revolutionizing Context Aware Computing by integrating real-time environmental data with user interactions to deliver highly relevant information and services. By leveraging advanced mapping technologies and contextual awareness, Active Maps can analyze users' locations, movements, and preferences to offer personalized experiences. For instance, while navigating through a city, Active Maps can suggest nearby restaurants based on dietary preferences, provide alerts about traffic conditions, or highlight points of interest.

The Wireless Local Area Networks segment is expected to have the highest CAGR during the forecast period

Wireless Local Area Networks segment is expected to have the highest CAGR during the forecast period by providing seamless, real-time connectivity that enables devices to gather and utilize contextual information more effectively. WLANs, through their dynamic and pervasive nature, allow devices to stay connected and exchange data without the constraints of wired connections. For instance, a smartphone connected to a WLAN can detect its position within a building and tailor its services accordingly, such as providing location-specific notifications or adjusting settings based on nearby devices. This ability to adapt to changing contexts enhances user experience and operational efficiency in various applications, from smart homes to enterprise environments.

Region with largest share:

North America region commanded the largest market share during the extrapolated period. The advent of 5G networks is revolutionizing Context Aware Computing in North America by providing unprecedented speed and massive connectivity. This next-generation network enhances the ability of devices to process and react to contextual information in real-time, fostering more intelligent and responsive applications. With 5G's high bandwidth, data from various sensors and sources can be aggregated and analyzed with minimal delay, enabling more accurate and timely context-aware services. For instance, smart cities can optimize traffic flow and enhance public safety with real-time data processing, while businesses can leverage advanced analytics for personalized customer experiences.

Region with highest CAGR:

Europe region is poised to hold profitable growth over the projected period. The General Data Protection Regulation (GDPR) is a prime instance, mandating strict guidelines on how personal data is collected, processed, and stored. This regulation compels companies to design systems that respect user privacy and provide transparent data usage policies. By enforcing these standards, European regulations are fostering trust among users, encouraging more widespread adoption of CAC technologies.

Key players in the market

Some of the key players in Context Aware Computing market include Amazon Web Services Inc, Apple Inc, Cisco Systems, Inc, Google LLC, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc and Verizon Communications, Inc.

Key Developments:

In May 2024, PROG Holdings, Inc. and Infosys Forge strategically collaborated to bring AI-powered experiences to clients and intellectual automation to operations. The collaboration enables PROG Holdings to take advantage of Infosys' digital services, including cutting-edge technologies, to accelerate skill enhancements and advance speed to market.

In February 2024, Wipro Limited declared the launch of Wipro Enterprise Artificial Intelligence (AI)-Ready Platform, a service allowing customers to create fully integrated, enterprise-level, modified AI environments. The collaboration aids enterprises in achieving new levels of flexibility by building their own business-specific AI ecosystems.

In September 2023, Oracle announced innovative generative AI services for healthcare enterprises. Integrating Oracle's electronic health record enables providers to leverage the power of generative AI and voice commands to decrease manual work and focus more on patient care.

In May 2023, IBM announced the introduction of Hybrid Cloud Mesh, designed to allow businesses to bring organization to their hybrid multi-cloud infrastructure. The platform's launch is planned to industrialize the process, administration, and observability of application connectivity in and between private and public clouds to benefit up-to-date businesses operating their infrastructure across multi-cloud, hybrid, and heterogeneous environments.

In December 2022, T-Mobile announced a collaboration with Cisco to launch the world's largest highly scalable and distributed nationwide cloud native converged core gateway, taking the Un-carrier's 5G standalone core to the next level. The Un-carrier has moved all of its 5G and 4G traffic to the new cloud-native core gateway, immediately improving customer performance by more than 10% in speed and latency.

In November 2022, Tata Consultancy Services (TCS) and Amazon Web Services (AWS) collaborated to launch a quantum computing lab on the Amazon platform. Accordingly, TCS invested in quantum computing research for over four years, which has resulted in two patent filings and progress toward advancing artificial intelligence (AI), optimization, cryptography, and digital security.

Products Covered:

  • Active Maps
  • Adaptive Phones
  • Augmented Reality
  • Conference Assistants
  • Shopping Assistants

Components Covered:

  • Services
  • Software
  • Hardware

Network Types Covered:

  • Body Area Network
  • Wireless Cellular Networks
  • Wireless Local Area Networks
  • Wireless Personal Area Network

Context Types Covered:

  • Computing Context
  • Physical Context
  • Time Context
  • User Context

End Users Covered:

  • Automotive
  • Consumer Goods
  • Government and Public Sector
  • Media and Entertainment
  • Telecommunications and IT
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Product Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Context Aware Computing Market, By Product

  • 5.1 Introduction
  • 5.2 Active Maps
  • 5.3 Adaptive Phones
  • 5.4 Augmented Reality
  • 5.5 Conference Assistants
  • 5.6 Shopping Assistants

6 Global Context Aware Computing Market, By Component

  • 6.1 Introduction
  • 6.2 Services
  • 6.3 Software
  • 6.4 Hardware

7 Global Context Aware Computing Market, By Network Type

  • 7.1 Introduction
  • 7.2 Body Area Network
  • 7.3 Wireless Cellular Networks
  • 7.4 Wireless Local Area Networks
  • 7.5 Wireless Personal Area Network

8 Global Context Aware Computing Market, By Context Type

  • 8.1 Introduction
  • 8.2 Computing Context
  • 8.3 Physical Context
  • 8.4 Time Context
  • 8.5 User Context

9 Global Context Aware Computing Market, By End User

  • 9.1 Introduction
  • 9.2 Automotive
  • 9.3 Consumer Goods
  • 9.4 Government and Public Sector
  • 9.5 Media and Entertainment
  • 9.6 Telecommunications and IT
  • 9.7 Other End Users

10 Global Context Aware Computing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Amazon Web Services Inc
  • 12.2 Apple Inc
  • 12.3 Cisco Systems, Inc
  • 12.4 Google LLC
  • 12.5 Intel Corporation
  • 12.6 International Business Machines Corporation
  • 12.7 Microsoft Corporation
  • 12.8 Oracle Corporation
  • 12.9 Salesforce, Inc
  • 12.10 Verizon Communications, Inc

List of Tables

  • Table 1 Global Context Aware Computing Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Context Aware Computing Market Outlook, By Product (2022-2030) ($MN)
  • Table 3 Global Context Aware Computing Market Outlook, By Active Maps (2022-2030) ($MN)
  • Table 4 Global Context Aware Computing Market Outlook, By Adaptive Phones (2022-2030) ($MN)
  • Table 5 Global Context Aware Computing Market Outlook, By Augmented Reality (2022-2030) ($MN)
  • Table 6 Global Context Aware Computing Market Outlook, By Conference Assistants (2022-2030) ($MN)
  • Table 7 Global Context Aware Computing Market Outlook, By Shopping Assistants (2022-2030) ($MN)
  • Table 8 Global Context Aware Computing Market Outlook, By Component (2022-2030) ($MN)
  • Table 9 Global Context Aware Computing Market Outlook, By Services (2022-2030) ($MN)
  • Table 10 Global Context Aware Computing Market Outlook, By Software (2022-2030) ($MN)
  • Table 11 Global Context Aware Computing Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 12 Global Context Aware Computing Market Outlook, By Network Type (2022-2030) ($MN)
  • Table 13 Global Context Aware Computing Market Outlook, By Body Area Network (2022-2030) ($MN)
  • Table 14 Global Context Aware Computing Market Outlook, By Wireless Cellular Networks (2022-2030) ($MN)
  • Table 15 Global Context Aware Computing Market Outlook, By Wireless Local Area Networks (2022-2030) ($MN)
  • Table 16 Global Context Aware Computing Market Outlook, By Wireless Personal Area Network (2022-2030) ($MN)
  • Table 17 Global Context Aware Computing Market Outlook, By Context Type (2022-2030) ($MN)
  • Table 18 Global Context Aware Computing Market Outlook, By Computing Context (2022-2030) ($MN)
  • Table 19 Global Context Aware Computing Market Outlook, By Physical Context (2022-2030) ($MN)
  • Table 20 Global Context Aware Computing Market Outlook, By Time Context (2022-2030) ($MN)
  • Table 21 Global Context Aware Computing Market Outlook, By User Context (2022-2030) ($MN)
  • Table 22 Global Context Aware Computing Market Outlook, By End User (2022-2030) ($MN)
  • Table 23 Global Context Aware Computing Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 24 Global Context Aware Computing Market Outlook, By Consumer Goods (2022-2030) ($MN)
  • Table 25 Global Context Aware Computing Market Outlook, By Government and Public Sector (2022-2030) ($MN)
  • Table 26 Global Context Aware Computing Market Outlook, By Media and Entertainment (2022-2030) ($MN)
  • Table 27 Global Context Aware Computing Market Outlook, By Telecommunications and IT (2022-2030) ($MN)
  • Table 28 Global Context Aware Computing Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.