About mobile AR Augmented reality is an emerging technology that permits the overlay of computer graphics on the real world. It includes scanning the physical real-world environment, which is then enhanced/augmented by adding virtual computer-generated information to it. End-users can make use of this technology through applications developed for mobile devices. It involves blending digital content with the physical world. Technavio's analysts forecast the mobile AR market in Japan to grow at a CAGR of 104.8 percent over the period 2014-2019. Covered in this report This report covers the present scenario and the growth prospects of the mobile AR market in Japan for the period 2015–2019. It presents the vendor landscape and a corresponding detailed analysis of vendors in the market. The report covers the overall ecosystem of the mobile AR market in Japan, including AR engine, AR software applications and AR hardware. In addition, the report discusses the major drivers that influence the growth of the mobile AR market in Japan. It also outlines the challenges faced by the vendors and the market... Research Beam Model: Research Beam Product ID: 222273 2500 USD New
Mobile Augmented Reality (AR) Market in Japan 2015-2019
 
 

Mobile Augmented Reality (AR) Market in Japan 2015-2019

  • Category : ICT & Media
  • Published On : April   2015
  • Pages : 88
  • Publisher : Technavio
 
 
 
About mobile AR
Augmented reality is an emerging technology that permits the overlay of computer graphics on the real world. It includes scanning the physical real-world environment, which is then enhanced/augmented by adding virtual computer-generated information to it. End-users can make use of this technology through applications developed for mobile devices. It involves blending digital content with the physical world.
Technavio's analysts forecast the mobile AR market in Japan to grow at a CAGR of 104.8 percent over the period 2014-2019.
Covered in this report
This report covers the present scenario and the growth prospects of the mobile AR market in Japan for the period 2015–2019. It presents the vendor landscape and a corresponding detailed analysis of vendors in the market. The report covers the overall ecosystem of the mobile AR market in Japan, including AR engine, AR software applications and AR hardware. In addition, the report discusses the major drivers that influence the growth of the mobile AR market in Japan. It also outlines the challenges faced by the vendors and the market at large, as well as the key trends emerging in the market.
Technavio's report, Mobile AR Market in Japan 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the mobile AR market landscape in Japan and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.
Key vendors
• Aurasma
• Blippar
• LM3LABS
• Metaio
• Total Immersion
• VIVIDWORKS
• Vuforia
• Wikitude
• Zappar
Market driver
• High adoption of innovative technology in Japan
• For a full, detailed list, view our report
Market challenge
• Lack of content
• For a full, detailed list, view our report
Market trend
• Market regulation
• For a full, detailed list, view our report
Key questions answered in this report
• What will the market size be in 2019 and what will the growth rate be?
• What are the Key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
1 List of Abbreviations
2 Executive Summary
3 Scope
3.1 Definitions
3.1.1 AR engine
3.1.2 AR software
3.1.3 AR hardware
3.2 End-user segments
3.2.1 Enterprise
3.2.2 Consumer
3.3 Base year
3.4 Market size calculation and segmentation
3.4.1 Calculation of market size of mobile AR market in Japan
3.4.2 End-user segmentation
3.4.3 Vendor segmentation
3.5 Common currency conversion rates
4 Introduction
4.1 History
4.2 Present scenario
4.3 Future perspective
5 Technology Lifecycle
6 Mobile AR
6.1 Value chain
6.2 Market size
6.3 Potential ARPA
6.4 Segment analysis and end-user applications
6.4.1 Enterprise
6.4.2 Consumer
6.5 Porter’s five forces
6.5.1 Threat of substitutes
6.5.2 Threat of new entrants
6.5.3 Bargaining power of suppliers
6.5.4 Bargaining power of buyers
6.5.5 Threat of rivalry
7 Drivers
7.1 High adoption of new technology in Japan
7.2 Increased adoption in advertising sector
7.3 Workflow automation
7.4 SLAM technology
8 Challenges
8.1 Lack of content in AR apps
8.2 Low awareness

8.3 Hardware limitations
8.4 Inaccurate sensors
8.5 Lack of interoperability across mobile platforms
9 Trends
9.1 Market regulations
9.2 BYOD and COPE
9.3 Depth-sensing cameras
10 Competitive Scenario
11 Will AR Change Our Lives?
12 Key Vendor Analysis
12.1 Augmented pixels
12.1.1 Key facts
12.1.2 Business Overview
12.1.3 Applications developed using AR technology
12.1.4 Recent developments
12.2 Aurasma
12.2.1 Key facts
12.2.2 Business overview
12.2.3 Recent developments
12.3 Blippar
12.3.1 Key facts
12.3.2 Business overview
12.3.3 Geographical presence
12.3.4 Business strategy
12.3.5 Recent developments
12.4 Catchoom
12.4.1 Key facts
12.4.2 Business overview
12.4.3 Geographical presence
12.4.4 Business strategy
12.4.5 Recent developments
12.5 DAQRI
12.5.1 Key facts
12.5.2 Business overview
12.5.3 Key offerings
12.5.4 Recent developments
12.6 Here (Nokia)
12.6.1 Key facts
12.6.2 Business overview
12.6.3 Business segmentation by revenue 2014
12.6.4 Business segmentation by revenue 2013 and 2014
12.6.5 Geographical segmentation by revenue 2014
12.6.6 Business strategy
12.6.7 Recent developments
12.7 Metaio
12.7.1 Key facts
12.7.2 Business overview
12.7.3 Key product offerings
12.7.4 Key solutions
12.7.5 Business strategy
12.7.6 Recent developments
12.8 Total Immersion
12.8.1 Key facts
12.8.2 Business overview
12.8.3 Key offerings
12.8.4 Geographical presence
12.8.5 Recent developments
12.9 VividWorks
12.9.1 Key facts
12.9.2 Business overview
12.9.3 VividPlatform
12.9.4 End-users
12.9.5 Geographical Presence
12.9.6 Business strategy
12.9.7 Recent developments
12.1 Qualcomm
12.10.1 Key facts
12.10.2 Business overview
12.10.3 Business segmentation by revenue 2014
12.10.4 Business segmentation by revenue 2013 and 2014
12.10.5 Geographical segmentation by revenue 2014
12.10.6 Business strategy
12.10.7 Recent developments
12.11 Wikitude
12.11.1 Key facts
12.11.2 Business overview
12.11.3 Key offerings
12.11.4 Business strategy
12.11.5 Recent developments
12.12 Zappar
12.12.1 Key facts
12.12.2 Business overview
12.12.3 Resellers geographical presence
12.12.4 Recent developments
12.13 Google
12.13.1 Key facts
12.13.2 Business overview
12.13.3 Revenue comparison of advertising revenues and other revenues by 2013 and 2014
12.13.4 Geographical segmentation 2014
12.13.5 Business strategy
12.13.6 Recent developments
12.14 Infinity Augmented Reality
12.14.1 Key facts
12.14.2 Business overview
13 Other Reports in this Series

List Of Exhibits
Exhibit 1: Augmented Pixels: Application developed using AR technology
Exhibit 2: Blippar: geographical presence
Exhibit 3: Catchoom: geographical presence
Exhibit 4: DAQRI: Key offerings
Exhibit 5: Nokia: business segmentation by revenue 2014
Exhibit 6: Nokia: business segmentation by revenue 2013 and 2014 ($ million)
Exhibit 7: Nokia: geographical segmentation by revenue 2014
Exhibit 8: Metaio: key product offerings
Exhibit 9: Metaio: key solutions
Exhibit 10: Total Immersion: key offerings
Exhibit 11: Total Immersion: geographical presence
Exhibit 12: VividWorks: VividPlatform
Exhibit 13: VividWorks: end-users
Exhibit 14: VividWorks: geographical presence
Exhibit 15: Qualcomm: business segmentation by revenue 2014
Exhibit 16: Qualcomm: business segmentation by revenue 2013 and 2014 ($ billion)
Exhibit 17: Qualcomm: geographical segmentation by revenue 2014
Exhibit 18: Wikitude: key offerings
Exhibit 19: Zappar: resellers geographical presence
Exhibit 20: Google: revenue comparison of advertising revenues and other revenues by 2013 and 2014 ($ billion)
Exhibit 21: Google: geographical segmentation 2014

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