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市场调查报告书
商品编码
1558348

到 2030 年的情境感知计算市场预测：按产品类型、组件、网路类型、情境类型、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球情境感知计算市场规模达 692 亿美元，预计预测期内复合年增长率为 20.6%，到 ​​2030 年将达到 2,128 亿美元。

情境感知计算是指计算系统被设计为即时识别和适应环境和使用者情境的范例。这包括系统收集、解释和回应各种情境资讯的能力，例如位置、时间、使用者活动和环境条件。透过利用感测器、资料来源和先进演算法，情境感知系统可以根据特定情况自订功能和使用者互动。例如，情境感知智慧型手机可以在会议期间自动切换到静音模式，或根据位置推荐附近的餐厅。

根据国际资料公司 (IDC) 和全球智慧家居设备季度追踪报告，预计 2023 年全球智慧设备出货量将达到约 13.9 亿台。

物联网设备的使用增加

物联网 (IoT) 设备的使用日益广泛，可提供对使用者环境和行为更丰富、更详细的了解，是情境感知运算的重大进步。智慧感测器、穿戴式装置和连接型家电等物联网装置不断收集有关实体环境、使用者活动和环境条件的资料。这些资料使系统能够更准确地推断上下文。例如，它将能够识别使用者何时家用、他们当前的活动，甚至他们的心情。例如，智慧恆温器可以根据使用者的存在和健身调整温度设置，穿戴式健身追踪器可以监控健康指标并提案个人化的健康习惯。

资料安全和隐私问题

情境感知计算依靠有关用户行为和环境的即时资料来提供个人化服务，但由于资料安全和隐私问题而面临重大障碍。这些系统收集和处理大量敏感资讯，包括位置资讯、健康指标和个人偏好，从而产生滥用和未授权存取的潜在风险。收集的资料越多，暴露或洩漏导致隐私侵犯或身分盗窃的风险就越大。使用者对资料的使用方式以及谁有权存取资料变得越来越谨慎，导致对上下文感知技术的不信任。

对个人化使用者体验的需求不断增长

对个人化使用者体验不断增长的需求正在推动情境感知运算领域的发展，该领域专注于建立即时适应使用者需求和环境的系统。情境感知计算利用各种来源的资料（包括位置、时间、使用者活动和环境条件）来提供客製化互动。随着用户期望更个人化的体验，技术正在不断发展，以更准确地处理和解释上下文资讯。这包括整合来自穿戴式装置、智慧型手机和物联网 (IoT) 感测器的资料，以了解用户偏好和行为。

标准化问题

标准化问题带来了碎片化和互通性挑战，严重阻碍了情境感知计算（CAC）的进步。缺乏标准化通讯协定和框架使得开发人员很难确保上下文感知应用程式能够跨不同平台和装置工作，从而导致用户体验不一致和功能减少。缺乏通用标准也使资料共用和整合变得复杂，而这对于有效集中和分析上下文相关资讯至关重要。这种碎片化阻碍了 CAC 技术的广泛采用，并限制了其潜在的好处，例如个人化服务和增强的使用者互动。

COVID-19 的影响：

COVID-19 的爆发对情境感知计算产生了重大影响，该领域专注于根据使用者情境进行调整的系统。远距工作和线上活动的激增凸显了情境感知技术的优点和限制。对增强虚拟协作工具的需求刺激了情境感知系统如何管理和优化远端互动的创新，从改善视讯会议体验到自动化家庭办公室环境。向数位环境的快速过渡暴露了用户隐私和安全方面的差距。这次疫情凸显了这些技术需要在功能与强大的隐私保护之间取得平衡，情境感知运算的发展。

预计活动地图部分在预测期内将是最大的

预计活跃地图部分在预测期内将达到最大值。 Active Maps 透过整合即时环境资料和使用者互动来提供高度相关的资讯和服务，从而彻底改变了情境感知计算。透过利用先进的地图技术和情境感知，Active Maps 能够分析您的位置、动作和偏好，为您提供个人化的体验。例如，当您在城市中导航时，它可以根据您的用餐偏好提案附近的餐厅、提供有关交通状况的警报并突出显示兴趣点。

无线区域网路领域预计在预测期内复合年增长率最高。

无线区域网路领域预计在预测期内将实现最高的复合年增长率，因为它提供无缝的即时连接，使设备能够更有效地收集和利用上下文资讯。 WLAN 的动态和普遍性使设备能够保持连接并交换资料，而不受有线连接的限制。例如，连接 WLAN 的智慧型手机可以侦测其在建筑物内的位置并相应地调整其服务，例如根据其位置提供通知或根据附近的设备调整设定。这种适应不断变化的环境的能力提高了从智慧家庭到企业环境等各种应用程式的使用者体验和业务效率。

比最大的地区

估计期间，北美地区占据最大的市场占有率。 5G 网路的到来透过提供前所未有的速度和大规模连接，正在彻底改变北美的情境感知。这种新一代网路将增强设备即时处理上下文资讯并做出反应的能力，从而培育更智慧、响应更灵敏的应用程式。 5G 的高频宽允许以最小的延迟集中和分析来自各种感测器和来源的资料，从而实现更准确、更及时的上下文感知服务。例如，智慧城市可以透过即时资料处理优化交通流量并提高公共安全，企业可以利用进阶分析来提供个人化的客户体验。

复合年增长率最高的地区：

预计欧洲地区在预测期内将保持盈利成长。 《一般资料保护规范》(GDPR) 就是一个典型的例子，它要求对个人资料的收集、处理和储存方式采取严格的指导方针。这些法规和政策要求公司设计尊重用户隐私的系统并提供透明的资料使用政策。透过执行这些标准，欧洲法规增强了使用者之间的信任并鼓励广泛采用 CAC 技术。

免费客製化服务

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  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
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  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 产品分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球情境感知计算市场：依产品

  • 活动地图
  • 自我调整电话
  • 扩增实境
  • 会议助理
  • 购物助理

第六章全球情境感知计算市场：按组成部分

  • 服务
  • 软体
  • 硬体

第 7 章：全球情境感知计算市场：按网路类型

  • 近身通讯
  • 无线蜂巢式网路
  • 无线宽频区域网路
  • 无线个人区域网路

第八章全球情境感知计算市场：依脉络类型

  • 计算环境
  • 物理环境
  • 时间背景
  • 使用者情境

第九章全球情境感知计算市场：依最终用户划分

  • 车
  • 消费品
  • 政府和公共部门
  • 媒体和娱乐
  • 通讯/IT
  • 其他最终用户

第10章全球情境感知计算市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十一章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章 公司概况

  • 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.