[298 Pages Report] Global pervasive computing technology market demand is anticipated to be valued at US$ 551.0 Million in 2022, forecast a CAGR of 19.9% to be valued at US$ 3,390.2 Million from 2022 to 2032. Growth is attributed to the increasing usage of IoT-based applications. From 2016-2021 a CAGR of 18.5% was registered for the Pervasive Computing Technology market.
| Data Points | Key Statistics |
|---|---|
| Growth Rate (2016-2021) | 18.5% CAGR |
| Projected Growth Rate (2022-2032) | 19.9% CAGR |
| Expected Market Value (2022) | US$ 551 Million |
| Anticipated Forecast Value (2032) | US$ 3,390 Million |
Pervasive computing is a trending technology, which involves imparting of embedding computational capability to any device such as wearable computing gadgets, smartphones, lighting, etc. to facilitate effective communication.
The underlying technologies such as artificial intelligence, wireless communications, location and positioning, internet capabilities, mobile protocols, advanced middleware, networking, embedded systems and voice recognition support pervasive computing. Currently, Ubiquitous Computing is also known as IoT (Internet-of-things) which means connecting devices or everyday objects to the internet.
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
Rapid Development in Technology to Drive the Growth of the Market in the Forecast Period
Growing consumer industries, for instance, logistics, healthcare, and automotive are anticipated to propel the Pervasive Computing technology (Ubiquitous Computing) Market over forthcoming years. Further, the need of being connected is spurring day by day, so to facilitate the same the demand for Ubiquitous Computing is growing.
Machine-to-machine communications, reduced data communications cost, production costs and even a decrease in the size of the transistors, these factors are piloting the growth of the Pervasive Computing technology (Ubiquitous Computing) Market.
The global pervasive computing technology is primarily driven by factors including the increasing usage of smart electronic devices. Moreover, rapid technological advancements are also expected to positively impact market growth during the forecast period. In addition, increasing uses of cloud computing are also expected to create better opportunities for the growth of the market across different parts of the world.
Although the pervasive computing technology market has numerous end-uses, there are numerous obstacles that likely pose a challenge to market growth.
The pervasive computing market faces several technological challenges such as flaws in human-machine interfaces, users’ intent, energy management issues, cyber forage, and context awareness along with user privacy concerns. From the viewpoint of big data, the challenge for pervasive computing is to integrate data from many disparate sources.
Principal Consultant
Technological Advancements in Connected Devices to Fuel Industry Expansion
North America is holding the largest market share of the pervasive computing technology market due to the increasing number of smartphone users and developed infrastructure. North America accounts for a 40.1% share of the global pervasive computing technology market.
North America is considered to be a mature economy in terms of technology adoption owing to the presence of major players such as IBM Corporation in the respective region are anticipated to drive the growth of the Pervasive Computing technology market during the forecast period.
Growing preference towards wireless technologies, along with rapid adoption of advanced technology-based solutions and services is expected to create a conducive environment for pervasive computing technology during the forecast period.
High Adoption of Communication Technologies in The Region to Boost the Growth of the Market
In the Europe region, the market for pervasive computing technology is witnessing a high growth rate due to the increasing consumer preference for smart devices. The rise in disposable income, as well as the increased adoption and desire for new technical gadgets, are some of the primary drivers of pervasive computing technology market growth. The Europe pervasive computing technology market accounts for 14.7% share of the total global market.
The region has witnessed huge investments in wireless technologies and the rapid adoption of trending technologies, such as cloud, IoT, mobility, and UC, which drives the critical need for reliable connectivity and communication. Also, increasing adoption of advanced communication equipment across all industries in the region to enhance the pervasive computing technology. Moreover, rapid advancements being made in technology coupled with increasing investments in Research and Development are anticipated to further drive the market.
Increasing Digitalization in The Region Boost the Market Growth in Coming Years
The Asia Pacific is expected to offer a significant opportunity to the market for pervasive computing technology market during the forecast period, the technological advancements in the region. Factors such as the rapid urbanization and a continuous upgradation of technological infrastructures in the region would create lucrative growth prospects across the Asia Pacific region.
The market is growing due to the advancements in the consumer electronics industry. In Asia Pacific, emerging economies such as China and India are expected to drive the demand for pervasive computing owing to increasing smartphone penetration, expansion in automotive industry and growing number of internet subscribers.
The new entrants in the pervasive computing technology market are continually indulging in several collaborations and highly investing in research and development activities to provide more convenient solutions to industry verticals. Some of the major start-ups that are leading the development of the market are Vizin India Private Limited, Powercast,
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
Some of the key participants present in the global pervasive computing technology market include Blazon Marketing Inc., E-Tron CO., Ltd., Hewlett-Packard, Neo Mtel Co., Ltd., Palo Alto Research center Incorporated (PARC), AT&T Inc., Maruhachi Warehouse Co., Ltd., IBM Corporation, Fujitsu Laboratories of America, Inc., and Tata Consultancy Services Limited. among others.
Attributed to the presence of such a high number of participants, the market is highly competitive. While global players such as Blazon Marketing Inc., E-Tron CO., Ltd., Hewlett-Packard, Neo Mtel Co., Ltd., Palo Alto Research center Incorporated (PARC), AT&T Inc., Maruhachi Warehouse Co., Ltd., IBM Corporation account for considerable market size, several regional-level players are also operating across key growth regions, particularly in the Asia Pacific.
| Report Attribute | Details |
|---|---|
| Growth Rate | CAGR of 19.9% from 2022 to 2032 |
| Expected Market Value (2022) | US$ 551 Million |
| Anticipated Forecast Value (2032) | US$ 3390.2 Million |
| Base Year for Estimation | 2021 |
| Historical Data | 2016-2021 |
| Forecast Period | 2022-2032 |
| Quantitative Units | Revenue in USD Billion, Volume in Kilotons and CAGR from 2022-2032 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
| Segments Covered |
|
| Regions Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
| Customization | Available Upon Request |
FMI projects the global pervasive computing technology market to expand at a 19.9% value CAGR by 2032
North America is expected to be the most opportunistic with a 40.1% share of the total pervasive computing technology market
Blazon Marketing Inc., E-Tron CO., Ltd., Hewlett-Packard, Neo Mtel Co., Ltd., Palo Alto Research center Incorporated (PARC), AT&T Inc., Maruhachi Warehouse Co., Ltd., IBM Corporation are some prominent pervasive computing technology, market manufacturers.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast, 2022-2032 4.1. Historical Market Size Value (US$ Mn) Analysis, 2016-2021 4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Products 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Mn) Analysis By Products, 2016-2021 5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Products, 2022-2032 5.3.1. Current Technology Products 5.3.2. Wearable Computing Products 5.3.3. Others 5.4. Y-o-Y Growth Trend Analysis By Products, 2016-2021 5.5. Absolute $ Opportunity Analysis By Products, 2022-2032 6. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Mobile Computing 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Mn) Analysis By Mobile Computing, 2016-2021 6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Mobile Computing, 2022-2032 6.3.1. Basic Introduction And Vision 6.3.2. Issues 6.3.3. Wireless Communications 6.3.4. Wireless Problem 6.3.5. Ad-hoc Networking 6.3.6. Ad-hoc Network Applications 6.3.7. Ad-hoc Collaborative Working 6.3.8. Integration Of Mobile Systems 6.4. Y-o-Y Growth Trend Analysis By Mobile Computing, 2016-2021 6.5. Absolute $ Opportunity Analysis By Mobile Computing, 2022-2032 7. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Context Adaptation & Adaptation Application Architecture 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Mn) Analysis By Context Adaptation & Adaptation Application Architecture , 2016-2021 7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Context Adaptation & Adaptation Application Architecture , 2022-2032 7.3.1. Context Awareness 7.3.2. User Selection 7.3.3. Map Adaptation 7.3.4. Adapting Vector Maps 7.3.5. Adaptation Architecture 7.3.5.1. Policy-Based Adaptive Systems 7.3.5.2. Obligation Policy 7.3.5.3. Roles 7.4. Y-o-Y Growth Trend Analysis By Context Adaptation & Adaptation Application Architecture , 2016-2021 7.5. Absolute $ Opportunity Analysis By Context Adaptation & Adaptation Application Architecture , 2022-2032 8. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Intelligent Environment 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Mn) Analysis By Intelligent Environment, 2016-2021 8.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Intelligent Environment, 2022-2032 8.3.1. Smart Dust Technology 8.3.2. Future Smart Dust 8.3.3. Pervasive Computer Problems 8.3.4. Scaling Factors 8.3.5. Vision-Based Interaction 8.4. Y-o-Y Growth Trend Analysis By Intelligent Environment, 2016-2021 8.5. Absolute $ Opportunity Analysis By Intelligent Environment, 2022-2032 9. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Application 9.1. Introduction / Key Findings 9.2. Historical Market Size Value (US$ Mn) Analysis By Application, 2016-2021 9.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application, 2022-2032 9.3.1. Security 9.3.2. Privacy And Management 9.3.3. Mobility And Networking 9.3.4. Information Access 9.3.5. Text Retrieval 9.3.6. Multimedia Document Retrieval 9.3.7. Speech Recognition 9.3.8. Gesture Recognition 9.3.9. Others 9.4. Y-o-Y Growth Trend Analysis By Application, 2016-2021 9.5. Absolute $ Opportunity Analysis By Application, 2022-2032 10. Global Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Region 10.1. Introduction 10.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2016-2021 10.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. South Asia 10.3.5. East Asia 10.3.6. Oceania 10.3.7. MEA 10.4. Market Attractiveness Analysis By Region 11. North America Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 11.2.1. By Country 11.2.1.1. U.S. 11.2.1.2. Canada 11.2.2. By Products 11.2.3. By Mobile Computing 11.2.4. By Context Adaptation & Adaptation Application Architecture 11.2.5. By Intelligent Environment 11.2.6. By Application 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Products 11.3.3. By Mobile Computing 11.3.4. By Context Adaptation & Adaptation Application Architecture 11.3.5. By Intelligent Environment 11.3.6. By Application 11.4. Key Takeaways 12. Latin America Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 12.2.1. By Country 12.2.1.1. Brazil 12.2.1.2. Mexico 12.2.1.3. Rest of Latin America 12.2.2. By Products 12.2.3. By Mobile Computing 12.2.4. By Context Adaptation & Adaptation Application Architecture 12.2.5. By Intelligent Environment 12.2.6. By Application 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Products 12.3.3. By Mobile Computing 12.3.4. By Context Adaptation & Adaptation Application Architecture 12.3.5. By Intelligent Environment 12.3.6. By Application 12.4. Key Takeaways 13. Europe Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 13.2.1. By Country 13.2.1.1. Germany 13.2.1.2. U.K. 13.2.1.3. France 13.2.1.4. Spain 13.2.1.5. Italy 13.2.1.6. Rest of Europe 13.2.2. By Products 13.2.3. By Mobile Computing 13.2.4. By Context Adaptation & Adaptation Application Architecture 13.2.5. By Intelligent Environment 13.2.6. By Application 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Products 13.3.3. By Mobile Computing 13.3.4. By Context Adaptation & Adaptation Application Architecture 13.3.5. By Intelligent Environment 13.3.6. By Application 13.4. Key Takeaways 14. South Asia Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 14.2.1. By Country 14.2.1.1. India 14.2.1.2. Malaysia 14.2.1.3. Singapore 14.2.1.4. Thailand 14.2.1.5. Rest of South Asia 14.2.2. By Products 14.2.3. By Mobile Computing 14.2.4. By Context Adaptation & Adaptation Application Architecture 14.2.5. By Intelligent Environment 14.2.6. By Application 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Products 14.3.3. By Mobile Computing 14.3.4. By Context Adaptation & Adaptation Application Architecture 14.3.5. By Intelligent Environment 14.3.6. By Application 14.4. Key Takeaways 15. East Asia Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 15.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 15.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.2. By Products 15.2.3. By Mobile Computing 15.2.4. By Context Adaptation & Adaptation Application Architecture 15.2.5. By Intelligent Environment 15.2.6. By Application 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Products 15.3.3. By Mobile Computing 15.3.4. By Context Adaptation & Adaptation Application Architecture 15.3.5. By Intelligent Environment 15.3.6. By Application 15.4. Key Takeaways 16. Oceania Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 16.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 16.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 16.2.1. By Country 16.2.1.1. Australia 16.2.1.2. New Zealand 16.2.2. By Products 16.2.3. By Mobile Computing 16.2.4. By Context Adaptation & Adaptation Application Architecture 16.2.5. By Intelligent Environment 16.2.6. By Application 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Products 16.3.3. By Mobile Computing 16.3.4. By Context Adaptation & Adaptation Application Architecture 16.3.5. By Intelligent Environment 16.3.6. By Application 16.4. Key Takeaways 17. MEA Pervasive Computing Technology Analysis 2016-2021 and Forecast 2022-2032, By Country 17.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2016-2021 17.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 17.2.1. By Country 17.2.1.1. GCC Countries 17.2.1.2. South Africa 17.2.1.3. Israel 17.2.1.4. Rest of MEA 17.2.2. By Products 17.2.3. By Mobile Computing 17.2.4. By Context Adaptation & Adaptation Application Architecture 17.2.5. By Intelligent Environment 17.2.6. By Application 17.3. Market Attractiveness Analysis 17.3.1. By Country 17.3.2. By Products 17.3.3. By Mobile Computing 17.3.4. By Context Adaptation & Adaptation Application Architecture 17.3.5. By Intelligent Environment 17.3.6. By Application 17.4. Key Takeaways 18. Key Countries Pervasive Computing Technology Analysis 18.1. U.S. 18.1.1. Pricing Analysis 18.1.2. Market Share Analysis, 2021 18.1.2.1. By Products 18.1.2.2. By Mobile Computing 18.1.2.3. By Context Adaptation & Adaptation Application Architecture 18.1.2.4. By Intelligent Environment 18.1.2.5. By Application 18.2. Canada 18.2.1. Pricing Analysis 18.2.2. Market Share Analysis, 2021 18.2.2.1. By Products 18.2.2.2. By Mobile Computing 18.2.2.3. By Context Adaptation & Adaptation Application Architecture 18.2.2.4. By Intelligent Environment 18.2.2.5. By Application 18.3. Brazil 18.3.1. Pricing Analysis 18.3.2. Market Share Analysis, 2021 18.3.2.1. By Products 18.3.2.2. By Mobile Computing 18.3.2.3. By Context Adaptation & Adaptation Application Architecture 18.3.2.4. By Intelligent Environment 18.3.2.5. By Application 18.4. Mexico 18.4.1. Pricing Analysis 18.4.2. Market Share Analysis, 2021 18.4.2.1. By Products 18.4.2.2. By Mobile Computing 18.4.2.3. By Context Adaptation & Adaptation Application Architecture 18.4.2.4. By Intelligent Environment 18.4.2.5. By Application 18.5. Germany 18.5.1. Pricing Analysis 18.5.2. Market Share Analysis, 2021 18.5.2.1. By Products 18.5.2.2. By Mobile Computing 18.5.2.3. By Context Adaptation & Adaptation Application Architecture 18.5.2.4. By Intelligent Environment 18.5.2.5. By Application 18.6. U.K. 18.6.1. Pricing Analysis 18.6.2. Market Share Analysis, 2021 18.6.2.1. By Products 18.6.2.2. By Mobile Computing 18.6.2.3. By Context Adaptation & Adaptation Application Architecture 18.6.2.4. By Intelligent Environment 18.6.2.5. By Application 18.7. France 18.7.1. Pricing Analysis 18.7.2. Market Share Analysis, 2021 18.7.2.1. By Products 18.7.2.2. By Mobile Computing 18.7.2.3. By Context Adaptation & Adaptation Application Architecture 18.7.2.4. By Intelligent Environment 18.7.2.5. By Application 18.8. Spain 18.8.1. Pricing Analysis 18.8.2. Market Share Analysis, 2021 18.8.2.1. By Products 18.8.2.2. By Mobile Computing 18.8.2.3. By Context Adaptation & Adaptation Application Architecture 18.8.2.4. By Intelligent Environment 18.8.2.5. By Application 18.9. Italy 18.9.1. Pricing Analysis 18.9.2. Market Share Analysis, 2021 18.9.2.1. By Products 18.9.2.2. By Mobile Computing 18.9.2.3. By Context Adaptation & Adaptation Application Architecture 18.9.2.4. By Intelligent Environment 18.9.2.5. By Application 18.10. India 18.10.1. Pricing Analysis 18.10.2. Market Share Analysis, 2021 18.10.2.1. By Products 18.10.2.2. By Mobile Computing 18.10.2.3. By Context Adaptation & Adaptation Application Architecture 18.10.2.4. By Intelligent Environment 18.10.2.5. By Application 18.11. Malaysia 18.11.1. Pricing Analysis 18.11.2. Market Share Analysis, 2021 18.11.2.1. By Products 18.11.2.2. By Mobile Computing 18.11.2.3. By Context Adaptation & Adaptation Application Architecture 18.11.2.4. By Intelligent Environment 18.11.2.5. By Application 18.12. Singapore 18.12.1. Pricing Analysis 18.12.2. Market Share Analysis, 2021 18.12.2.1. By Products 18.12.2.2. By Mobile Computing 18.12.2.3. By Context Adaptation & Adaptation Application Architecture 18.12.2.4. By Intelligent Environment 18.12.2.5. By Application 18.13. Thailand 18.13.1. Pricing Analysis 18.13.2. Market Share Analysis, 2021 18.13.2.1. By Products 18.13.2.2. By Mobile Computing 18.13.2.3. By Context Adaptation & Adaptation Application Architecture 18.13.2.4. By Intelligent Environment 18.13.2.5. By Application 18.14. China 18.14.1. Pricing Analysis 18.14.2. Market Share Analysis, 2021 18.14.2.1. By Products 18.14.2.2. By Mobile Computing 18.14.2.3. By Context Adaptation & Adaptation Application Architecture 18.14.2.4. By Intelligent Environment 18.14.2.5. By Application 18.15. Japan 18.15.1. Pricing Analysis 18.15.2. Market Share Analysis, 2021 18.15.2.1. By Products 18.15.2.2. By Mobile Computing 18.15.2.3. By Context Adaptation & Adaptation Application Architecture 18.15.2.4. By Intelligent Environment 18.15.2.5. By Application 18.16. South Korea 18.16.1. Pricing Analysis 18.16.2. Market Share Analysis, 2021 18.16.2.1. By Products 18.16.2.2. By Mobile Computing 18.16.2.3. By Context Adaptation & Adaptation Application Architecture 18.16.2.4. By Intelligent Environment 18.16.2.5. By Application 18.17. Australia 18.17.1. Pricing Analysis 18.17.2. Market Share Analysis, 2021 18.17.2.1. By Products 18.17.2.2. By Mobile Computing 18.17.2.3. By Context Adaptation & Adaptation Application Architecture 18.17.2.4. By Intelligent Environment 18.17.2.5. By Application 18.18. New Zealand 18.18.1. Pricing Analysis 18.18.2. Market Share Analysis, 2021 18.18.2.1. By Products 18.18.2.2. By Mobile Computing 18.18.2.3. By Context Adaptation & Adaptation Application Architecture 18.18.2.4. By Intelligent Environment 18.18.2.5. By Application 18.19. GCC Countries 18.19.1. Pricing Analysis 18.19.2. Market Share Analysis, 2021 18.19.2.1. By Products 18.19.2.2. By Mobile Computing 18.19.2.3. By Context Adaptation & Adaptation Application Architecture 18.19.2.4. By Intelligent Environment 18.19.2.5. By Application 18.20. South Africa 18.20.1. Pricing Analysis 18.20.2. Market Share Analysis, 2021 18.20.2.1. By Products 18.20.2.2. By Mobile Computing 18.20.2.3. By Context Adaptation & Adaptation Application Architecture 18.20.2.4. By Intelligent Environment 18.20.2.5. By Application 18.21. Israel 18.21.1. Pricing Analysis 18.21.2. Market Share Analysis, 2021 18.21.2.1. By Products 18.21.2.2. By Mobile Computing 18.21.2.3. By Context Adaptation & Adaptation Application Architecture 18.21.2.4. By Intelligent Environment 18.21.2.5. By Application 19. Market Structure Analysis 19.1. Competition Dashboard 19.2. Competition Benchmarking 19.3. Market Share Analysis of Top Players 19.3.1. By Regional 19.3.2. By Products 19.3.3. By Mobile Computing 19.3.4. By Context Adaptation & Adaptation Application Architecture 19.3.5. By Intelligent Environment 19.3.6. By Application 20. Competition Analysis 20.1. Competition Deep Dive 20.1.1. Blazon Marketing Inc. 20.1.1.1. Overview 20.1.1.2. Product Portfolio 20.1.1.3. Profitability by Market Segments 20.1.1.4. Sales Footprint 20.1.1.5. Strategy Overview 20.1.1.5.1. Marketing Strategy 20.1.2. E-Tron CO., Ltd. 20.1.2.1. Overview 20.1.2.2. Product Portfolio 20.1.2.3. Profitability by Market Segments 20.1.2.4. Sales Footprint 20.1.2.5. Strategy Overview 20.1.2.5.1. Marketing Strategy 20.1.3. Hewlett-Packard 20.1.3.1. Overview 20.1.3.2. Product Portfolio 20.1.3.3. Profitability by Market Segments 20.1.3.4. Sales Footprint 20.1.3.5. Strategy Overview 20.1.3.5.1. Marketing Strategy 20.1.4. Neo Mtel Co., Ltd. 20.1.4.1. Overview 20.1.4.2. Product Portfolio 20.1.4.3. Profitability by Market Segments 20.1.4.4. Sales Footprint 20.1.4.5. Strategy Overview 20.1.4.5.1. Marketing Strategy 20.1.5. Palo Alto Research center Incorporated (PARC) 20.1.5.1. Overview 20.1.5.2. Product Portfolio 20.1.5.3. Profitability by Market Segments 20.1.5.4. Sales Footprint 20.1.5.5. Strategy Overview 20.1.5.5.1. Marketing Strategy 20.1.6. AT&T Inc. 20.1.6.1. Overview 20.1.6.2. Product Portfolio 20.1.6.3. Profitability by Market Segments 20.1.6.4. Sales Footprint 20.1.6.5. Strategy Overview 20.1.6.5.1. Marketing Strategy 20.1.7. Maruhachi Warehouse Co., Ltd. 20.1.7.1. Overview 20.1.7.2. Product Portfolio 20.1.7.3. Profitability by Market Segments 20.1.7.4. Sales Footprint 20.1.7.5. Strategy Overview 20.1.7.5.1. Marketing Strategy 20.1.8. IBM Corporation 20.1.8.1. Overview 20.1.8.2. Product Portfolio 20.1.8.3. Profitability by Market Segments 20.1.8.4. Sales Footprint 20.1.8.5. Strategy Overview 20.1.8.5.1. Marketing Strategy 20.1.9. Fujitsu Laboratories of America, Inc. 20.1.9.1. Overview 20.1.9.2. Product Portfolio 20.1.9.3. Profitability by Market Segments 20.1.9.4. Sales Footprint 20.1.9.5. Strategy Overview 20.1.9.5.1. Marketing Strategy 20.1.10. Tata Consultancy Services Limited 20.1.10.1. Overview 20.1.10.2. Product Portfolio 20.1.10.3. Profitability by Market Segments 20.1.10.4. Sales Footprint 20.1.10.5. Strategy Overview 20.1.10.5.1. Marketing Strategy 21. Assumptions & Acronyms Used 22. Research Methodology
Explore Technology Insights
View Reports
Pervasive Computing Technology Market
