Context-Aware Computing Market Size, Share & Industry Analysis
| 出版社 | Fortune Business Insights |
| 出版年月 | 2024年9月 |
| ページ数 | 140 |
| 価格タイプ | シングルユーザライセンス |
| 価格 | USD 4,850 |
| 種別 | 英文調査報告書 |
Growth Factors of Context Aware Computing Market
The context aware computing market size was valued at USD 57.35 billion in 2023, and the market is now projected to grow from USD 69.02 billion in 2024 to USD 266.76 billion by 2032, exhibiting a CAGR of 18.4% during the forecast period of 2024-2032.
コンテキスト・アウェア・コンピューティングの市場規模は、2023 年に 573 億 5,000 万米ドルと評価され、現在市場は 2024 年の 690 億 2000 万米ドルから 2032 年までに 2,667 億 6000 万米ドルに成長すると予測されており、2024 年から 2032 年の予測期間中に 18.4% の CAGR を示します。
The outbreak of COVID-19 has had an impartial impact on the context-aware computing market. In compliance with social distancing norms, many organizations and companies have trained their employees to work from home (WFH) as a protective measure to drop the risk of infection. The effects of the COVID-19 pandemic have extremely impacted industries such as consumer electronics. The sturdy demand for smart devices due to the COVID-19 emergency and fluctuations in the purchasing power and consumer behavior are also disturbing the development of the market.

The demand for context-aware computing solutions is promptly growing due to the incorporation and development of progressive sensors in associated devices such as laptops, smart wearable, smartphones, and other smart products. Many connected devices are furnished with numerous progressive sensors, comprising GPS, accelerometers, magnetometers, light sensors, and microphones, that add context-aware competences and progress end-user experience. The increasing number of sensor-enabled connected devices is anticipated to boost the demand & upsurge the context-aware computing market growth.
The growing implementation of artificial intelligence (AI) and machine learning (ML)-powered context-aware computing solutions among enterprises is one of the market’s significant developments. End-use industries, comprising automotive, BFSI, and healthcare, adopt ML and AI-enabled context-aware computing solutions to understand the human context. A context-aware AI smart system needs to be adaptive, intelligible, manageable, customizable, and context-aware while relating with humans. Numerous organizations are aiming on launching AI-based time context solutions to support their product portfolio.
Comprehensive Analysis of Context Aware Computing Market
The market can be segmented in various ways, depending on the focus of analysis such as by component, by vendor and by end users. Based on component, the market is distributed into solutions and services. Based on vendor, the market is classified into mobile network operators, device manufacturers, and online, web, and social networking vendors. By end-user, the market is segmented into BFSI, consumer electronics, media and entertainment, automotive, healthcare, telecommunication, logistics and transportation, and others.
North America region is dominating the context-aware computing market share due to rising smartphone penetration and growing customer preference & demand for the bring your own device. Performers are continuously incorporating CAC technology to augment their product offerings and buyer service.
The key players are enthusiastically contributing in planned events that are targeted at maintaining durable market position and growing market share by merger, partnerships and others. These players include IBM Corporation (New York, United States), Microsoft Corporation (Washington, United States), Cisco Systems, Inc. (California, United States), Oracle Corporation (California, United States), Amazon.com, Inc. (Washington, United States), Samsung Electronics Co. Ltd (Seoul, South Korea), Apple Inc. (California, United States), Onapsis Inc. (Massachusetts, United States), Teliasonera (Stockholm, Sweden), Verizon Communications Inc. (New York, United States), Infosys Limited (Karnataka, India), Google LLC (California, United States), Nokia Corporation (Espoo, Finland) these market players spending severely on research and development in order to arise with more new technology so that they can maintain and improve their existing market.
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.
Segmentation Table
TTRIBUTE DETAILS
Study Period 2019-2032
Base Year 2023
Estimated Year 2024
Forecast Period 2024-2032
Historical Period 2019-2022
Growth Rate CAGR of 18.4% from 2024 to 2032
Unit Value (USD billion)
Segmentation By Component
- Solution
- Services
By Vendor
- Mobile Network Operator
- Device Manufacturer
- Online, Web, and Social Networking Vendors
By End-User
- BFSI
- Consumer Electronics
- Media and Entertainment
- Automotive
- Healthcare
- Telecommunication
- Logistics and Transportation
- Others
By Geography
- North America (By Component; Vendor; End-User; and Country)
o The United States
o Canada
o Mexico
- Europe (By Component; Vendor; End-User; and Country)
o The United Kingdom
o Germany
o France
o Italy
o Spain
o Russia
o Benelux
o Nordics
o Rest of Europe
- Asia Pacific (By Component; Vendor; End-User; and Country)
o China
o India
o Japan
o South Korea
o ASEAN
o Oceania
o Rest of Asia Pacific
- The Middle East & Africa (By Component; Vendor; End-User; and Country)
o Turkey
o Israel
o GCC
o North Africa
o South Africa
o Rest of the Middle East & Africa
- South America (By Component; Vendor; End-User; and Country)
o Brazil
o Argentina
o Rest of South America
Table of Contents
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Context-Aware Computing Key Players Market Share/Ranking, 2023
5. Global Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Solution
5.2.2. Services
5.3. By Vendor (USD)
5.3.1. Mobile Network Operator
5.3.2. Device Manufacturer
5.3.3. Online, Web, and Social Networking Vendors
5.4. By End-User (USD)
5.4.1. BFSI
5.4.2. Consumer Electronics
5.4.3. Media and Entertainment
5.4.4. Automotive
5.4.5. Healthcare
5.4.6. Telecommunication
5.4.7. Logistics and Transportation
5.4.8. Others
5.5. By Region (USD)
5.5.1. North America
5.5.2. South America
5.5.3. Europe
5.5.4. Middle East & Africa
5.5.5. Asia Pacific
6. North America Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Solution
6.2.2. Services
6.3. By Vendor (USD)
6.3.1. Mobile Network Operator
6.3.2. Device Manufacturer
6.3.3. Online, Web, and Social Networking Vendors
6.4. By End-User (USD)
6.4.1. BFSI
6.4.2. Consumer Electronics
6.4.3. Media and Entertainment
6.4.4. Automotive
6.4.5. Healthcare
6.4.6. Telecommunication
6.4.7. Logistics and Transportation
6.4.8. Others
6.5. By Country (USD)
6.5.1. United States
6.5.2. Canada
6.5.3. Mexico
7. South America Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Solution
7.2.2. Services
7.3. By Vendor (USD)
7.3.1. Mobile Network Operator
7.3.2. Device Manufacturer
7.3.3. Online, Web, and Social Networking Vendors
7.4. By End-User (USD)
7.4.1. BFSI
7.4.2. Consumer Electronics
7.4.3. Media and Entertainment
7.4.4. Automotive
7.4.5. Healthcare
7.4.6. Telecommunication
7.4.7. Logistics and Transportation
7.4.8. Others
7.5. By Country (USD)
7.5.1. Brazil
7.5.2. Argentina
7.5.3. Rest of South America
8. Europe Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Solution
8.2.2. Services
8.3. By Vendor (USD)
8.3.1. Mobile Network Operator
8.3.2. Device Manufacturer
8.3.3. Online, Web, and Social Networking Vendors
8.4. By End-User (USD)
8.4.1. BFSI
8.4.2. Consumer Electronics
8.4.3. Media and Entertainment
8.4.4. Automotive
8.4.5. Healthcare
8.4.6. Telecommunication
8.4.7. Logistics and Transportation
8.4.8. Others
8.5. By Country (USD)
8.5.1. United Kingdom
8.5.2. Germany
8.5.3. France
8.5.4. Italy
8.5.5. Spain
8.5.6. Russia
8.5.7. Benelux
8.5.8. Nordics
8.5.9. Rest of Europe
9. Middle East & Africa Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Solution
9.2.2. Services
9.3. By Vendor (USD)
9.3.1. Mobile Network Operator
9.3.2. Device Manufacturer
9.3.3. Online, Web, and Social Networking Vendors
9.4. By End-User (USD)
9.4.1. BFSI
9.4.2. Consumer Electronics
9.4.3. Media and Entertainment
9.4.4. Automotive
9.4.5. Healthcare
9.4.6. Telecommunication
9.4.7. Logistics and Transportation
9.4.8. Others
9.5. By Country (USD)
9.5.1. Turkey
9.5.2. Israel
9.5.3. GCC
9.5.4. North Africa
9.5.5. South Africa
9.5.6. Rest of MEA
10. Asia Pacific Context-Aware Computing Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Solution
10.2.2. Services
10.3. By Vendor (USD)
10.3.1. Mobile Network Operator
10.3.2. Device Manufacturer
10.3.3. Online, Web, and Social Networking Vendors
10.4. By End-User (USD)
10.4.1. BFSI
10.4.2. Consumer Electronics
10.4.3. Media and Entertainment
10.4.4. Automotive
10.4.5. Healthcare
10.4.6. Telecommunication
10.4.7. Logistics and Transportation
10.4.8. Others
10.5. By Country (USD)
10.5.1. China
10.5.2. India
10.5.3. Japan
10.5.4. South Korea
10.5.5. ASEAN
10.5.6. Oceania
10.5.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. IBM Corporation
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Microsoft Corporation
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. Cisco Systems, Inc.
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Oracle Corporation
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. Amazon.com, Inc.
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Samsung Electronics Co. Ltd.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Apple Inc.
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Onapsis Inc.
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. Teliasonera
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Verizon Communications, Inc.
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments
12. Key Takeaways
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