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市场调查报告书
商品编码
1444831

情境感知计算 - 市场占有率分析、产业趋势与统计、成长预测（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个工作天内

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简介目录

情境感知计算市场规模预计到 2024 年将达到 636.3 亿美元，预计到 2029 年将达到 1,095.9 亿美元，在预测期内（2024-2029 年）CAGR为 11.49%。

上下文感知计算 - 市场

主要亮点

  • 由于全球网路商务平台的使用不断增加，上下文感知运算（CAC）也随之增加。 CAC 已成为一项有前途的技术，可提高软体和硬体的系统范围内的网路攻击能力。 CAC 和人工智慧 (AI) 在为公司网路提供复杂的安全性方面具有无限的潜力。例如，情境感知人工智慧 (CAAI) 可以减少误报和漏报的可能性，为网路分析师提供准确的结果。
  • 此外，CAAI 可以帮助分析师将企业部门产生的大量资料浓缩为可操作的情报。这种 CAAI 功能对于网路专家驾驭全球企业采用的巨量资料系统至关重要。此外，情境感知人工智慧运算配备了预测功能，​​对于提前预测资料外洩和预防不良事件非常有用。
  • 智慧型手机、平板电脑和个人电脑等行动装置的日益普及以及智慧型穿戴装置的推出预计将推动 CAC 市场的需求。这是因为上下文感知是行动装置的属性，被定义为补充位置感知。人工智慧与行动应用程式的整合也推动了市场的发展。例如，人工智慧正迅速成为商业和科学最重要的方面之一，越来越多的领先科技公司对人工智慧投资表现出兴趣。
  • 谷歌斥资 4 亿美元收购 DeepMind 就是玩家对获取人工智慧技术兴趣日益浓厚的一个典型例子。此外，由于连网汽车、自动驾驶和自动驾驶汽车的发展，预计汽车产业将提供巨大的市场刺激。然而，计算复杂性阻碍了市场扩张。
  • 此外，行动运算的未来将为 CAC 市场在未来几年的成长提供更多机会。然而，特定的上下文以及资讯存取和传递可能会在不久的将来对上下文感知计算市场的成长提出不同的挑战。
  • COVID-19 大流行的爆发促进了情境感知运算市场的成长，因为在家工作模式增加了对安全存取企业资料和网路的需求。此外，由于 5G 可确保强大且快速的网路连接，领先经济体的 5G 部署预计将推动对先进运算技术的需求。

情境感知计算市场趋势

消费性电子领域预计将显着成长

  • 智慧型手机和平板电脑的发展已经远远超出了发送简讯或打电话的能力，它们现在充当个人导航器、储存设备、游戏厅和社交中心。
  • 由于智慧型手机配备了各种复杂的感测器，例如加速度计、全球定位系统 (GPS)、麦克风、磁力计和相机等，因此向此类装置中配备的侦测器添加情境感知应用程式可以提高使用者体验经验。
  • 此外，智慧型手机的发展和运算能力的增强使开发人员能够创建创新的上下文感知应用程序，这些应用程式可以在任何情况和位置识别与用户相关的社交和认知行为。
  • 智慧型手机透过调整萤幕亮度以获得最佳可读性来响应环境光的方式是上下文感知技术的一个突出例子。由于市场上的每款智慧型手机都具备此功能，因此智慧型手机销售的成长预计将推动消费性电子产品对情境感知技术的需求。

北美预计将主导市场

  • 由于其在人工智慧 (AI) 和机器学习 (ML) 技术方面的主导地位，北美是上下文感知运算最重要的市场之一。大多数主要市场供应商都位于美国，这使得该地区在创新方面具有优势。此外，地方政府越来越鼓励采用人工智慧、机器学习和情境感知技术，为市场供应商扩大在该地区的业务创造机会。
  • 该地区拥有一些最先进的上下文感知计算技术用户和整合商。这些公司包括Google等科技领导者、电子商务巨头亚马逊、Visa 等金融机构以及 Verizon 和 AT&T 等电信巨头，它们不断采用这项技术来改善客户服务和产品供应。
  • 亚马逊、苹果和谷歌的智慧型设备，如手錶和扬声器，已经进军北美市场。在该地区智慧家庭的采用推动下，智慧穿戴装置越来越多地整合到物联网设备中，预计将提振市场。

情境感知计算产业概述

上下文感知计算市场高度分散。由于参与者创建上下文感知应用程式介面（API）来开发创新的商业应用程序，市场竞争变得非常激烈。此外，许多参与者正在以创新和发展的方式进入市场。该行业的一些主要参与者包括 Google LLC、IBM Corporation、Microsoft Corporation、Cisco Systems Inc. 和 Oracle Corporation。

2022 年 4 月，IBM 推出了 IBM z16，这是该公司的下一代系统，具有整合的片上人工智慧 (AI) 加速器，可实现延迟优化的推理。这项创新旨在让客户能够大规模分析即时交易，例如信用卡、医疗保健和金融交易。基于 IBM 的安全领先地位，IBM z16 也明确设计用于协助防范可用于破解当今加密技术的近期威胁。

此外，2022 年 3 月，Oracle 云端基础架构 (OCI) 推出了新的服务和功能，为客户提供更大的灵活性。 OCI 扩展了 11 项新的运算、网路和储存服务及功能，使客户能够以更低的成本更快、更安全地运行工作负载。新产品为客户提供灵活的核心基础设施服务，自动优化资源以满足应用程式需求并大幅降低成本。沃达丰、三星证券、GoTo 和 Cox Automotive 等全球组织依靠 OCI 来运行从微服务到人工智慧的各种工作负载。

额外的好处：

  • Excel 格式的市场估算 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章：简介

  • 研究成果
  • 研究假设
  • 研究范围

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：市场动态

  • 市场概况
  • 市场驱动因素
    • 将人工智慧整合到行动应用程式中
    • 整合物联网产品的兴起
  • 市场限制
    • 计算复杂性
  • 产业价值链分析
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买家/消费者的议价能力
    • 新进入者的威胁
    • 替代产品的威胁
    • 竞争激烈程度
  • Covid-19 对产业影响的评估

第 5 章：市场细分

  • 类型
    • 硬体
    • 软体
    • 服务
  • 供应商（定性分析）
    • 设备製造商
    • 行动网路营运商
    • 线上、网路和社交网路供应商
  • 最终用户产业
    • BFSI
    • 消费性电子产品
    • 媒体与娱乐
    • 汽车
    • 卫生保健
    • 电信
    • 物流运输
    • 其他最终用户产业
  • 地理
    • 北美洲
    • 欧洲
    • 亚太
    • 拉丁美洲
    • 中东和非洲

第 6 章：竞争格局

  • 公司简介
    • 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：投资分析

第 8 章：市场机会与未来趋势

简介目录
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