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市場調查報告書
商品編碼
1641856
情境感知計算：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）Context Aware Computing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030) |
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情境感知計算市場規模預計在 2025 年為 709.4 億美元，預計到 2030 年將達到 1,222 億美元，預測期內（2025-2030 年）的複合年成長率為 11.49%。
主要亮點
- 網路商務平台在全球的使用日益成長，導致了情境感知運算（CAC）的興起。 CAC已經成為一種很有前景的技術，可以提高整個系統軟體和硬體抵禦網路攻擊的能力。 CAC 和人工智慧（AI）為企業網路提供進階安全性具有無限的可能性。例如，情境感知人工智慧 (CAAI) 可以減少誤報和漏報的機會，並為網路分析師提供準確的結果。
- 此外，CAAI 還可以協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 能力對於操作全球企業所採用的巨量資料系統的網路專業人員來說至關重要。此外，情境感知人工智慧運算具有預測能力，這對於預測資料外洩和預防有害事件發生非常有用。
- 智慧型手機、平板電腦和個人電腦等行動裝置的普及率不斷提高，以及智慧型穿戴裝置的推出預計將推動CAC市場的需求。情境感知是行動裝置的特性，被定義為位置感知的補充。人工智慧與行動應用的融合也正在推動市場的發展。例如，人工智慧正迅速成為商業和科學領域最重要的方面之一，越來越多的主要企業對投資人工智慧表現出興趣。
- 谷歌斥資 4 億美元收購 DeepMind 是企業收購人工智慧技術興趣日益濃厚的典型例子。此外，聯網汽車、自動駕駛和自動駕駛汽車的發展預計將為汽車產業提供巨大的市場刺激。然而，計算的複雜性阻礙了市場擴張。
- 此外，行動運算的未來可能會為未來幾年CAC市場的成長提供更多機會。然而，獲取和傳遞特定的上下文和資訊可能會對不久的將來情境感知計算市場的成長帶來各種挑戰。
- 由於在家工作模式增加了對安全存取公司資料和網路的需求，COVID-19 疫情推動了情境感知運算市場的成長。此外，由於 5G 預計將提供強大且快速的網路連接，主要經濟體推出 5G 預計將推動對先進運算技術的需求。
情境感知計算市場趨勢
消費性電子領域可望強勁成長
- 智慧型手機和平板電腦的功能已遠遠超出了發送文字訊息和打電話的範疇；如今，它們還可充當個人導航儀、儲存設備、遊樂場和社交中心。
- 智慧型手機配備了各種先進的感測器，包括加速計、GPS（全球定位系統）、麥克風、磁力計和鏡頭，因此可以將情境感知應用程式添加到這些設備內建的檢測器中。 。
- 此外，智慧型手機的進步和計算能力的增強使開發人員能夠創建創新的情境感知應用程式，識別任何情況或地點中用戶相關的社交和認知行為。
- 您的智慧型手機會根據周圍的光線調整螢幕亮度以最佳化可讀性，這是情境感知技術的一個顯著例子。由於市場上的每部智慧型手機都具備此功能，因此預計智慧型手機銷量的增加將推動消費性電子設備對情境感知技術的需求。
北美可望主導市場
- 北美在人工智慧（AI）和機器學習（ML）技術方面佔據主導地位，是情境感知運算最重要的市場之一。該市場的大部分主要供應商都位於美國，這使得該地區在技術創新方面具有優勢。此外，該地區的政府擴大鼓勵採用人工智慧、機器學習和情境感知技術，為市場供應商擴大在該地區的業務創造了機會。
- 該地區擁有一些最先進的情境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 等通訊巨頭，都在利用科技改善客戶服務和產品供應。
- 亞馬遜、蘋果、谷歌等公司的手錶、音箱等智慧型設備已進入北美市場。在該地區智慧家庭普及的推動下，智慧穿戴裝置與物聯網設備的日益融合預計將推動市場的發展。
情境感知計算行業概覽
情境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，市場競爭非常激烈。此外，許多參與者正在透過技術創新和發展進入市場。該行業的主要參與者包括 Google LLC、IBM Corporation、Microsoft Corporation、Cisco Systems Inc. 和 Oracle Corporation。
2022 年 4 月，IBM 宣布推出下一代系統 IBM z16，該系統整合了片上人工智慧 (AI) 加速器，可實現延遲最佳化的推理。這項創新旨在實現對信用卡、醫療保健和金融交易等即時交易的大規模分析。基於 IBM 在安全領域的領先地位，IBM z16 也專門設計用於幫助防禦可能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，為客戶提供彈性。 OCI 正在擴展 11 項新的運算、網路和儲存服務和功能，以使客戶能夠以更低的成本更快、更安全地運行工作負載。新服務為客戶提供了靈活的核心基礎設施服務，可自動最佳化資源以滿足應用需求，從而大幅降低成本。沃達豐、三星證券、GoTo 和考克斯汽車等全球企業依靠 OCI 運行各種工作負載，從微服務到人工智慧。
其他福利：
- Excel 格式的市場預測 (ME) 表
- 3 個月的分析師支持
目錄
第 1 章 簡介
- 調查結果
- 調查前提
- 研究範圍
第2章調查方法
第3章執行摘要
第4章 市場動態
- 市場概況
- 市場促進因素
- 將人工智慧融入行動應用程式
- 綜合物聯網服務的興起
- 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
- 購買者/消費者的議價能力
- 新進入者的威脅
- 替代品的威脅
- 競爭對手之間的競爭強度
- COVID-19 產業影響評估
第5章 市場區隔
- 按類型
- 硬體
- 軟體
- 服務
- 按供應商（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
- 按最終用戶產業
- BFSI
- 消費性電子產品
- 媒體與娛樂
- 車
- 衛生保健
- 通訊
- 物流與運輸
- 其他最終用戶產業
- 按地區
- 北美洲
- 歐洲
- 亞太地區
- 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
The Context Aware Computing Market size is estimated at USD 70.94 billion in 2025, and is expected to reach USD 122.20 billion by 2030, at a CAGR of 11.49% during the forecast period (2025-2030).
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.
