Expert Market Research’s new report entitled ‘Global Context Aware Computing (CAC) Market Report and Forecast 2021-2026’, provides an in-depth analysis of the context-aware computing (CAC) market, evaluating the market based on its segments such as type, vendor, context type, network, product, industry verticals, and major regions such as Asia Pacific, Europe, North America, Middle East & Africa, and Latin America. The report tracks the latest trends in the industry and studies their impact on the overall market. It also assesses market dynamics, covering key demand and price indicators, along with market analysis based on SWOT and Porter’s Five Forces models.
Highlights of the report include:
Market Overview (2021-2026)
- Historical market size (2020): USD 49 billion
- Forecast CAGR (2021-2026): 25%
- Market size forecast (2026): USD 187 billion
The growth of the global context-aware computing (CAC) market is driven by developments in wireless communication technology. The increasing use of smartphones and mobile computing devices is driving growth. Additionally, the growing popularity and advancement of wearable IoT devices such as smart watches are contributing to the growth. Furthermore, developments in virtual reality (VR) and artificial intelligence (AI) technologies will drive the growth of the ACC market in the forecast period.
Definition of the industry and main segments
Context-aware computing (CAC) refers to computing patterns that consider situational knowledge about objects and their environments, individuals, and locations to provide situation-focused functions and content. This computer pattern deals specifically with forecasting criteria that are supported by actual patterns. CAC helps in quick decision making both at individual and organizational level. CAC is made up of cloud, big data and mobile technology.
Depending on the type, CAC can be divided into:
The CAC can be divided according to the provider into:
- device manufacturers
- mobile network operators
- Online providers, web and social networks
Based on the type of context, CAC can be segmented into:
- computer context
- user context
- physical context
- time context
CAC can be forked based on networks at:
- wireless cellular networks
- Wireless local area networks (LANs)
- Wireless Personal Area Networks (PANs)
- Body Area Network (BAN)
On the basis of products, CAC can be segmented into:
- active maps
- adaptable phones
- Guidance Systems and Augmented Reality
- conference attendees
- cyber guides
- Field work
- shopping assistants
On the basis of industry verticals, the market can be divided into:
- Academy and Education
- Banking, Financial Services and Insurance (BFSI)
- Consumer goods and retail
- Energy and Power
- Health care
- Logistics and Transportation
Based on regional markets, the industry is divided into:
1 North America
1.1 United States of America
2.2 United Kingdom
3 Asia Pacific
4 Latin America
5 Middle East and Africa
5.1 Saudi Arabia
5.2 United Arab Emirates
5.4 South Africa
Regionally, North America is the largest shareholder in the global CAC market, due to its dominance in artificial intelligence and machine learning technologies. Furthermore, the presence of key market players in the US and the growing adoption of AI and ML are expected to drive the regional market. The region is home to the leading users and integrators of context-aware computing technology. Additionally, the increasing integration of smart wearable devices into IoT devices, driven by smart home adoption, will contribute to growth. Meanwhile, Asia Pacific is expected to show rapid growth during the forecast period, due to its developing industrial and technical infrastructure in emerging economies such as India and China.
Key market players
Major players in the market are IBM Corp, Microsoft Corporation, Cisco Systems Inc., Google LLC, Oracle Corporation, Amazon Web Services Inc. and some others. The report covers market shares, capacities, plant changes, expansions, investments, and mergers and acquisitions, among other latest developments of these market players.
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