+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Japan Edge AI Market by Offering and End User: Opportunity Analysis and Industry Forecast, 2021-2030

  • PDF Icon

    Report

  • 332 Pages
  • December 2021
  • Region: Japan
  • Allied Market Research
  • ID: 5548450
The Japan edge AI market was valued at $7.79 billion in 2020, and is projected to reach $40.81 billion by 2030, registering a CAGR of 20.0% from 2021 to 2030.



Artificial intelligence systems on local computers evaluate data from industrial robots, monitoring cameras, and other connected IoT devices in factories in real-time in edge computing. In Japan's automotive and manufacturing/robotic sectors, edge computing is expected to make it easier to develop more efficient work processes, which is opportunistic for the market in Japan.

Rise in enterprise workload on the cloud platforms and rise in demand and trends towards smart wearable is anticipated to drive the market growth during the forecast period. Further, a rise in demand for the number of intelligence applications is expected to drive market growth. However, surge in privacy and security concerns related to edge AI solutions is anticipated to restrain the market growth. In addition, the emergence of the 5G network to bring IT and telecom together is expected to provide lucrative opportunities for the Japan edge AI industry during the forecast period.

The Japan edge AI market is segmented on the basis of offering, device type, and end user. On the basis of offering, the market is fragmented into hardware, software and services. The hardware segment dominated the market, in terms of revenue in 2020, and is expected to follow the same trend during the forecast period. From end user, the market is fragmented into automotive/mobility, manufacturing/robotics, plant & infrastructures preservation, smart life, and others. The automotive/mobility market share of security & services segment garnered the highest share in 2020, and is expected to grow at a high CAGR from 2021 to 2030.

KEY MARKET SEGMENTS


By OFERING

  • Hardware
  • Software
  • Service

By END USER

  • Automotive/Mobility
  • Manufacturing/Robotics
  • Plant & Infrastructure Preservations
  • Smart Life
  • Others

Table of Contents

Chapter 1: Introduction
1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: Executive summary
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.1. Key findings
3.1.1. Top impacting factors
3.1.2. Top investment pockets
3.2. Porter’s five forces analysis
3.3. Market Dynamics
3.3.1. Drivers
3.3.1.1. Rise in demand and trend toward smart wearable devices
3.3.1.2. Rise in enterprise workloads on the cloud
3.3.1.3. Rise in demand for number of intelligent applications
3.3.2. Restraints
3.3.2.1. Privacy and security concerns related to edge AI solutions
3.3.3. Opportunities
3.3.3.1. Emergence of the 5G network to bring IT and telecom together
3.4. Value chain analysis
3.4.1. Hardware
3.4.1.1. Edge AI Chipset
3.4.1.2. Server
3.4.1.3. Hardware Maintenance
3.4.1.4. End Devices
3.4.2. Network
3.4.2.1. Edge Gateway
3.4.2.2. Interconnect
3.4.2.3. IoT Platforms
3.4.2.4. Cloud Connect
3.4.2.5. Content & Application Delivery
3.4.3. Edge Cloud Infrastructure
3.4.3.1. Operating System
3.4.3.2. IaaS
3.4.3.3. Edge Aggregation & Orchestration
3.4.3.4. Multi Cloud Platform
3.4.3.5. Virtualization & Containers
3.4.4. Application/Software
3.4.4.1. Platform as a service (PaaS)
3.4.4.2. Analytics & APIs
3.4.4.3. Software Application
3.4.5. Integration & System
3.4.5.1. Design & Engineering
3.4.5.2. Systems Integration
3.4.5.3. Professional services
3.4.6. Social Implementation Fields
3.4.6.1. Automotive
3.4.6.2. Manufacturing
3.4.6.3. Energy
3.4.6.4. Healthcare
3.4.6.5. Agriculture
3.4.6.6. Construction/Infrastructure
3.4.6.7. Others
3.5. Covid-19 impact analysis
3.5.1. COVID-19 Outbreak
3.5.2. Impact on market size
3.5.3. End user trends, preferences, and budget impact
3.5.4. Parent industry impact
3.5.5. Key player strategies to tackle negative impact
3.5.5.1. Limiting cuts to R&D expense:
3.5.5.2. Focusing on next-generation products
3.5.5.3. Shifting toward agile supply chain model
3.5.6. Opportunity window
3.6. AI Market Overview
3.6.1. Market Size and Growth Rate by Industry (Global)
3.6.2. Market Size and Growth Rate by Industry (Japan)
3.7. Technological trends
3.7.1. AI Market
3.7.2. Artificial intelligence market, by Applications
3.7.2.1. Financial
3.7.2.2. Healthcare
3.7.2.3. Education
3.7.2.4. Autonomous Driving
3.7.2.5. Driving Government
3.7.2.6. Retail
3.7.2.7. Manufacturing
3.7.2.8. Smart City
3.7.3. Artificial intelligence market, by New Technological Trends and Developments
3.7.3.1. AI is growing fully commercialized
3.7.3.2. AI has entered an era of machine learning
3.7.3.3. Market investment returns to reason
3.7.3.4. Cities become the main battleground for AI innovation, integration, and application
3.7.3.5. AI supporting technologies are advancing
3.7.3.6. Growing support from top-level policies
3.7.4. Edge AI Market
3.7.5. Edge Artificial intelligence market, by Applications
3.7.5.1. Automotive
3.7.5.2. Energy
3.7.5.3. Healthcare
3.7.5.4. Agriculture
3.7.5.5. Smart Cities
3.7.6. Edge Artificial intelligence market, by New Technological Trends and Developments
3.7.6.1. Re-learning
3.7.6.2. Security and adversarial attacks
3.7.6.3. Learning at the Edge
3.7.6.4. Integrating AI into the smallest devices
3.7.6.5. Data as a basis for AI
3.7.6.6. Neuromorphic technologies
3.7.6.7. Meta-learning
3.7.6.8. Hybrid modelling
3.7.6.9. Energy efficiency
3.8. External environment and risks
3.8.1. Changes in external environment affecting the AI edge
3.8.2. Changes in the value of data
3.8.3. Future of AI edge services and technologies post changes in external environment
3.9. Advantage of edge in comparison with cloud
3.10. External factors and its future prospects
3.10.1. Cloud Shift
3.10.1.1. Key market trends, growth factors, and opportunities
3.10.2. Edge Shift
3.10.2.1. Key market trends, growth factors, and opportunities
CHAPTER 4: Japan edge AI market, BY OFFERING
4.1. Overview
4.2. Hardware
4.2.1. Key markets trends, growth factors and opportunities
4.2.2. Key edge AI Startups
4.2.2.1. LeapMind
4.2.2.2. Cinnamon AI
4.2.2.3. Ubie
4.3. Software
4.3.1. Key growth factors and opportunities
4.3.2. Key AI Startups
4.3.2.1. Autify
4.3.2.2. Generic Solution
4.4. Services
4.4.1. Key growth factors and opportunities
4.4.2. Key AI Startups
4.4.2.1. Hacarus
4.4.2.2. StockMark
4.4.2.3. Global Walkers
CHAPTER 5: Japan edge AI hardware market, BY device type
5.1. Overview
5.2. Robots
5.2.1. Key growth factors and opportunities
5.2.2. Key edge AI Startups
5.2.2.1. Heroz
5.2.2.2. Cinnamon AI
5.2.2.3. SoftBank
CHAPTER 6: Japan edge AI market, BY end user
6.1. Overview
6.2. Automotive/Mobility
6.2.1. Key growth factors and opportunities
6.2.2. Key AI Startups
6.2.2.1. Tier IV
6.2.3. Key AI Trends
6.2.3.1. Machine learning closer to devices
6.2.4. Market size and forecast
6.3. Manufacturing/Robotics
6.3.1. Key growth factors and opportunities
6.3.2. Key AI Startups
6.3.2.1. Preferred Networks
6.3.3. Key AI trends
6.3.3.1. Predictive Maintenance
6.3.4. Market size and forecast
6.4. Plant & Infrastructure preservation
6.4.1. Key growth factors and opportunities
6.4.2. Key AI Startups
6.4.2.1. QuEST Global
6.4.3. Key AI Trends
6.4.3.1. Automated safety monitoring
6.4.4. Market size and forecast
6.5. Smart Life
6.5.1. Key growth factors and opportunities
6.5.2. Key AI Startups
6.5.2.1. Ubie
6.5.3. Key AI Trends
6.5.3.1. Edge AI enables contactless health and safety monitoring in the workplace
6.5.4. Market size and forecast
6.6. Others
6.6.1. Key growth factors and opportunities
6.6.2. Key AI Startups
6.6.2.1. IMAGR
6.6.2.2. Tamecco
6.6.3. Key AI Trends
6.6.3.1. Edge AI tools will eliminate the need to rip and replace outdated legacy building management systems
6.6.4. Market size and forecast
CHAPTER 7: edge AI market, BY Region
7.1. Overview
7.2. U.S.
7.2.1. Key growth factors and opportunities
7.2.2. Key AI Startups
7.2.2.1. TIBCO
7.2.2.2. Cloudera
7.2.2.3. MAVENNIR
7.2.2.4. Flex Logix Technologies, Inc.
7.2.3. Key Trends
7.2.3.1. Deep Learning and Edge Computing
7.2.3.1.1. Market size and forecast, by end user
7.3. UK
7.3.1. Key growth factors and opportunities
7.3.2. Key AI Startups
7.3.2.1. LGN
7.3.2.2. Graphcore
7.3.2.3. Faculty
7.3.3. Key Trends
7.3.3.1. Edge AI -Driving Next Gen AI Application
7.3.3.1.1. Market size and forecast, by end user
7.4. France
7.4.1. Key growth factors and opportunities
7.4.2. Key AI Startups
7.4.2.1. STMicroelectronics
7.4.2.2. GrAI Matter Labs
7.4.3. Key Trends
7.4.3.1. Real time computer vision on Edge Devices
7.4.3.1.1. Market size and forecast, by end user
7.5. Germany
7.5.1. Key growth factors and opportunities
7.5.2. Key AI Startups
7.5.2.1. Mobius Labs
7.5.3. Key Trends
7.5.3.1. Edge Devices for On-Device Machine Learning and Computer Vision
7.5.3.1.1. Market size and forecast, by end user
7.6. China
7.6.1. Key growth factors and opportunities
7.6.2. Key AI Startups
7.6.2.1. Liulishuo
7.6.2.2. SenseTime
7.6.2.3. Eigen
7.6.3. Key Trends
7.6.3.1. Vision Processing Unit for next-gen AI interference on the Edge
7.6.3.1.1. Market size and forecast, by end user
7.7. Israel
7.7.1. Key growth factors and opportunities
7.7.2. Key AI Startups
7.7.2.1. Hailo
7.7.3. Key Trends
7.7.3.1. AI Hardware equipped with Edge Machine Learning Inference
7.7.3.1.1. Market size and forecast, by end user
7.8. Taiwan
7.8.1. Key growth factors and opportunities
7.8.2. Key AI Startups
7.8.2.1. HIHedge
7.8.2.2. Kneron
7.8.2.3. King TE MU Jin CO., Ltd.
7.8.3. Key Trends
7.8.3.1. Edge Computing for computer Vision
7.8.3.1.1. Market size and forecast, by end user
7.9. South Korea
7.9.1. Key growth factors and opportunities
7.9.2. Key AI Startups
7.9.2.1. RiiiD
7.9.2.2. Deep Bio
7.9.2.3. NOTA
7.9.3. Key Trends
7.9.3.1. AI of Things
7.9.3.1.1. Market size and forecast, by end user
CHAPTER 8: Global edge AI market, BY end user
8.1. Overview
8.2. Automotive/Mobility
8.2.1. Key growth factors and opportunities
8.2.2. Key AI Startups
8.2.2.1. Hailo
8.2.3. Key AI Trends
8.2.3.1. Unlocking proprietary Edge software
8.2.4. Market size and forecast
8.3. Manufacturing/Robotics
8.3.1. Key growth factors and opportunities
8.3.2. Key AI Startups
8.3.2.1. Intel Corporation
8.3.3. Key AI Trends
8.3.3.1. Precision Monitoring and Control
8.3.4. Market size and forecast
8.4. Plant & Infrastructure preservation
8.4.1. Key growth factors and opportunities
8.4.2. Key AI Startups
8.4.2.1. Anagog
8.4.3. Key AI Trends
8.4.3.1. Edge devices for on-device smart grids
8.4.4. Market size and forecast
8.5. Smart Life
8.5.1. Key growth factors and opportunities
8.5.2. Key AI Startups
8.5.2.1. Lumiata
8.5.2.2. Mavenir
8.5.3. Key AI Trends
8.5.3.1.5G network
8.5.4. Market size and forecast
8.6. Others
8.6.1. Key growth factors and opportunities
8.6.2. Key AI Startups
8.6.2.1. MEF
8.6.3. Key AI Trends
8.6.3.1. Private 5G adoption increases
8.6.4. Market size and forecast
CHAPTER 9: Japan AI market, BY end user
9.1. Overview
9.2. Automotive/Mobility
9.2.1. Key growth factors and opportunities
9.2.2. Key AI Startups
9.2.2.1. Tier IV
9.2.2.2. Ascent Robotics
9.2.2.3. Kudan
9.2.3. Market size and forecast
9.3. Manufacturing/Robotics
9.3.1. Key growth factors and opportunities
9.3.2. Key AI Startups
9.3.2.1. Geek+
9.3.2.2. Abeja
9.3.2.3. Cinnamon
9.3.2.4. Mujin
9.3.3. Market size and forecast
9.4. Plant & Infrastructure
9.4.1. Key growth factors and opportunities
9.4.2. Key AI Startups
9.4.2.1. Synspective
9.4.2.2. Plantio
9.4.2.3. Aeronext
9.4.3. Market size and forecast
9.5. Smart life
9.5.1. Key growth factors and opportunities
9.5.2. Key AI Startups
9.5.2.1. More Joyful Innovation
9.5.2.2. Atonarp
9.5.2.3. Ai Medical Service
9.5.2.4. ThinkCyte
9.5.2.5. Ubie
9.5.3. Market size and forecast
9.6. Others
9.6.1. Key growth factors and opportunities
9.6.2. Key AI Startups
9.6.2.1. IMAGR
9.6.2.2. Tamecco
9.6.2.3. Liaro
9.6.2.4. VAAK
9.6.2.5. Emosiv
9.6.3. Market size and forecast
CHAPTER 10: Global AI market, BY Region
10.1. Overview
10.2. U.S.
10.2.1. Key growth factors and opportunities
10.2.2. Key AI Startups
10.2.2.1. Argi AI
10.2.2.2. Databricks
10.2.2.3. View
10.2.2.4. Faraday Future
10.2.2.5. Verily
10.2.2.6. Stripe
10.2.3. Key Trends
10.2.3.1. Ethical AI
10.2.3.2. Explainable AI
10.2.3.3. Predictive Analytics
10.2.3.4. Emotional AI
10.2.3.5. AI with AR and VR
10.2.3.6. AI in Robotics
10.2.3.7. AI in Cybersecurity
10.2.3.7.1. Market size and forecast, by end user
10.3. UK
10.3.1. Key growth factors and opportunities
10.3.2. Key AI Startups
10.3.2.1. OneTrust
10.3.2.2. Graphcore
10.3.2.3. Babylon
10.3.2.4. BenevolentAI
10.3.2.5. Darktrace
10.3.2.6. Thought Machine
10.3.3. Key Trends
10.3.3.1. Data Analysis
10.3.3.2. Advertising and Retail
10.3.3.3. Cybersecurity
10.3.3.3.1. Market size and forecast, by end user
10.4. France
10.4.1. Key growth factors and opportunities
10.4.2. Key AI Startups
10.4.2.1. AnaotherBrain
10.4.2.2. Owkin
10.4.2.3. Hyperlex
10.4.2.4. Prophesee
10.4.2.5. Levia
10.4.2.6. Vekia
10.4.2.7. Kayrros
10.4.2.8. Cardiologs
10.4.3. Key Trends
10.4.3.1. Medtech
10.4.3.2. Plant and Infrastructure Preservation
10.4.3.2.1. Market size and forecast, by end user
10.5. Germany
10.5.1. Key growth factors and opportunities
10.5.2. Key AI Startups
10.5.2.1. Ada
10.5.2.2. Konux
10.5.2.3. Agile Robots
10.5.2.4. Zeotap
10.5.2.5. Scoutbee
10.5.3. Key Trends
10.5.3.1. Hub for Tomorrow
10.5.3.2. AI in the service of diversity
10.5.3.3. AI-Coaches
10.5.3.3.1. Market size and forecast, by end user
10.6. China
10.6.1. Key growth factors and opportunities
10.6.2. Key AI Startups
10.6.2.1. WM Motor
10.6.2.2. Horizon Robotics
10.6.2.3. SenseTime
10.6.2.4. Megvii
10.6.2.5. Momenta
10.6.2.6.4Paradigm
10.6.3. Key Trends
10.6.3.1. Developing AI Chips
10.6.3.2. Transforming Traditional Industries
10.6.3.3. Tapping into Service Sector
10.6.3.3.1. Market size and forecast, by end user
10.7. Israel
10.7.1. Key growth factors and opportunities
10.7.2. Key AI Startups
10.7.2.1. Airobotics
10.7.2.2. Cortica
10.7.2.3. Gong.io
10.7.2.4. Leadspace
10.7.2.5. Lagz.io
10.7.2.6. Nexar
10.7.3. Key Trends
10.7.3.1. Emerging Ai trends across Israel
10.7.3.2. AI powering digital healthcare sectors
10.7.3.2.1. Market size and forecast, by end user
10.8. Taiwan
10.8.1. Key growth factors and opportunities
10.8.2. Key AI Startups
10.8.2.1. AgriTalk Technology Inc.
10.8.2.2. Ahead
10.8.2.3. CarKit Ai
10.8.2.4. CreDa
10.8.2.5. FaceHeart
10.8.2.6. Language Hero
10.8.3. Key Trends
10.8.3.1. More than 80 % of the Companies in Taiwan introduced AI into their business
10.8.3.1.1. Market size and forecast, by end user
10.9. South Korea
10.9.1. Key growth factors and opportunities
10.9.2. Key AI Startups
10.9.2.1. Riid
10.9.2.2. Lunit
10.9.2.3. Mathpresso
10.9.2.4. Standigm
10.9.2.5. Openedges
10.9.2.6.3billion
10.9.3. Key Trends
10.9.3.1. Ai Interpreting Services
10.9.3.2. AI Speakers
10.9.3.3. Ai in the financial industry
10.9.3.4. AI in the medical sector
10.9.3.4.1. Market size and forecast, by end user
CHAPTER 11: global AI market, BY end user
11.1. Overview
11.2. Automotive/Mobility
11.2.1. Key growth factors and opportunities
11.2.2. Key market trends
11.2.2.1. AI-based autonomous vehicle
11.2.3. Key AI Startups
11.2.3.1. Argo AI- Autonomous Cars
11.2.3.2. Carfit- Predictive Maintenance
11.2.3.3. German Autolabs – Infotainment/ human-Machine Interface
11.2.3.4. Raven _ Manufacturing
11.2.3.5. Tractable – Vehicle Insurance
11.2.4. Market analysis, by country
11.3. Manufacturing/Robotics
11.3.1. Key growth factors and opportunities
11.3.2. Key market trends
11.3.2.1. AI-Enabled Robots
11.3.2.2. Directed Automation
11.3.2.3.27X7 Production
11.3.2.4. Safer Operational Environment
11.3.2.5. Novel Opportunities for Humans
11.3.3. Key AI Startups
11.3.3.1. Invisible AI
11.3.3.2. FactoryPal
11.3.3.3. Gimic
11.3.3.4. Neurisium
11.3.3.5. PowerArena
11.3.4. Market analysis, by country
11.4. Plant & Infrastructure
11.4.1. Key growth factors and opportunities
11.4.2. Key market trends
11.4.2.1. Identifying Plant species at risk
11.4.2.2. AI in Plant Breeding
11.4.2.3. Discovery of new plant species
11.4.2.4. AI in Plant disease detection
11.4.2.5. Anticipating and Detecting Forest Threats
11.4.2.6. Automate afforestation
11.4.3. Key AI Startups
11.4.3.1. Enview
11.4.3.2. SoundEye
11.4.3.3. Wattie
11.4.4. Market analysis, by country
11.5. Smart Life
11.5.1. Key growth factors and opportunities
11.5.2. Key market trends
11.5.2.1. AI & Machine Learning offer better way to spot diseases
11.5.2.2. Robots in healthcare can conduct more varied tasks
11.5.2.3. Computer and machine vision can help give appropriate care
11.5.2.4. Wearable Tech has more to offer than just counting steps
11.5.2.5. AI Neural Network can improve healthcare biometrics
11.5.3. Key AI Startups
11.5.3.1. Alixir
11.5.3.2. Reverie Labs
11.5.3.3. Cancer Center
11.5.3.4. OncoHost
11.5.3.5. MedInReal
11.5.4. Market analysis, by country
11.6. Others
11.6.1. Key growth factors and opportunities
11.6.2. Key market trends
11.6.2.1. AI adoption by industry
11.6.2.2. Building Smart Homes
11.6.2.3. From OTT to Smart TVs
11.6.3. Key AI Startups
11.6.3.1. AI Palette
11.6.3.2. SupplyPike
11.6.3.3. Ailet
11.6.3.4. Retail Pulse
11.6.3.5. Samya.ai
11.6.4. Market analysis, by country
List of Tables
TABLE 01. GLOBAL AI MARKET, 2020-2030 ($BILLION)
TABLE 02. JAPAN AI MARKET, 2020-2030 ($BILLION)
TABLE 03. JAPAN EDGE AI MARKET, BY OFFERING, 2020-2030 ($BILLION)
TABLE 04. JAPAN EDGE AI HARDWARE MARKET, BY DEVICE TYPE, 2020-2030 ($BILLION)
TABLE 05. JAPAN EDGE AI MARKET, BY END USER, 2020-2030 ($BILLION)
TABLE 06. GLOBAL EDGE AI MARKET REVENUE, BY COUNTRY, 2020-2030($BILLION)
TABLE 07. U.S. EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 08. UK. EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 09. FRANCE EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 10. GERMANY EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 11. CHINA EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 12. ISRAEL EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 13. TAIWAN EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 14. SOUTH KOREA EDGE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 15. GLOBAL EDGE AI MARKET, BY END USER, 2020-2030 ($BILLION)
TABLE 16. JAPAN AI MARKET, BY END USER, 2020-2030 ($BILLION)
TABLE 17. GLOBAL AI MARKET REVENUE, BY COUNTRY, 2020-2030($BILLION)
TABLE 18. U.S. AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 19. UK. 5G AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 20. FRANCE AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 21. GERMANY AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 22. CHINA AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 23. ISRAEL AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 24. TAIWAN AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 25. SOUTH KOREA AI MARKET, BY END USER, 2020-2030($BILLION)
TABLE 26. AI MARKET, BY END USER, 2020-2030 ($BILLION)
List of Figures
FIGURE 01. TOP IMPACTING FACTORS
FIGURE 02. TOP INVESTMENT POCKETS
FIGURE 03. MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 04. MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 05. MODERATE THREAT OF SUBSTITUTES
FIGURE 06. MODERATE-TO-HIGH INTENSITY OF RIVALRY
FIGURE 07. MODERATE BARGAINING POWER OF BUYERS
FIGURE 08. VALUE CHAIN ANALYSIS
FIGURE 09. JAPAN AI MARKET, BY OFFERING, 2020-2030 (%)
FIGURE 10. JAPAN EDGE AI MARKET, BY END USER, 2020-2030 (%)
FIGURE 11. MAREKT SIZE AND FORECAST OF JAPAN EDGE AI MARKET FOR AUTOMOTIVE/MOBILITY, 2020-2030($BILLION)
FIGURE 12. MAREKT SIZE AND FORECAST OF JAPAN EDGE AI MARKET FOR MANUFACTURING/ROBOTICS, 2020-2030($BILLION)
FIGURE 13. MAREKT SIZE AND FORECAST OF JAPAN EDGE AI MARKET FOR PLANT & INFRASTRUTURE PRESERVATION, 2020-2030($BILLION)
FIGURE 14. MAREKT SIZE AND FORECAST OF JAPAN EDGE AI MARKET FOR SMART LIFE, 2020-2030($BILLION)
FIGURE 15. MAREKT SIZE AND FORECAST OF JAPAN EDGE AI MARKET FOR OTHERS, 2020-2030($BILLION)
FIGURE 16. GLOBAL EDGE AI MARKET, BY COUNTRY, 2020-2030
FIGURE 17. U.S. EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 18. UK EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 19. FRANCE EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 20. GERMANY EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 21. CHINA EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 22. ISRAEL EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 23. TAIWAN EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 24. SOUTH KOREA EDGE AI MARKET, 2020-2030($BILLION)
FIGURE 25. GLOBAL EDGE AI MARKET, BY END USER, 2020-2030 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF GLOBAL EDGE AI MARKET FORAUTOMOTIVE/ MOBILITY, BY COUNTRY, 2020&2030 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF GLOBAL EDGE AI MARKET FOR MANUFACTURING /ROBOTICS, BY COUNTRY, 2020&2030 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF GLOBAL EDGE AI MARKET FOR PLANT & INFRASTRUTURE, BY COUNTRY, 2020&2030 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF GLOBAL EDGE AI MARKET FOR SMART LIFE, BY COUNTRY, 2020&2030 (%)
FIGURE 30. COMPARATIVE SHARE ANALYSIS OF GLOBAL EDGE AI MARKET FOR OTHERS, BY COUNTRY, 2020&2030 (%)
FIGURE 31. JAPAN AI MARKET, BY END USER, 2020-2030 (%)
FIGURE 32. COMPARATIVE SHARE ANALYSIS OF JAPAN AI MARKET FOR AUTOMOTIVE/MOBILITY, BY COUNTRY, 2020&2030 (%)
FIGURE 33. COMPARATIVE SHARE ANALYSIS OF JAPAN AI MARKET FOR MANUFACTURING/ROBOTICS, BY COUNTRY, 2020&2030 (%)
FIGURE 34. COMPARATIVE SHARE ANALYSIS OF JAPAN AI MARKET FOR PLANT & INFRASTRUTURE PRESERVATION, BY COUNTRY, 2020&2030 (%)
FIGURE 35. COMPARATIVE SHARE ANALYSIS OF JAPAN AI MARKET FOR SMART LIFE, BY COUNTRY, 2020&2030 (%)
FIGURE 36. COMPARATIVE SHARE ANALYSIS OF JAPAN AI MARKET FOR OTHERS, BY COUNTRY, 2020&2030 (%)
FIGURE 37. GLOBAL AI MARKET, BY COUNTRY, 2020-2030
FIGURE 38. U.S. AI MARKET, 2020-2030($BILLION)
FIGURE 39. UK AI MARKET, 2020-2030($BILLION)
FIGURE 40. FRANCE AI MARKET, 2020-2030($BILLION)
FIGURE 41. GERMANY AI MARKET, 2020-2030($BILLION)
FIGURE 42. CHINA AI MARKET, 2020-2030($BILLION)
FIGURE 43. ISRAEL AI MARKET, 2020-2030($BILLION)
FIGURE 44. TAIWAN AI MARKET, 2020-2030($BILLION)
FIGURE 45. SOUTH KOREA AI MARKET, 2020-2030($BILLION)
FIGURE 46. GLOBAL AI MARKET, BY END USER, 2020-2030 (%)
FIGURE 47. COMPARATIVE SHARE ANALYSIS OF AI MARKET FOR AUTOMOTIVE/MOBILITY, BY COUNTRY, 2020&2030 (%)
FIGURE 48. COMPARATIVE SHARE ANALYSIS OF AI MARKET FOR MANUFACTURING/ROBOTICS, BY COUNTRY, 2020&2030 (%)
FIGURE 49. COMPARATIVE SHARE ANALYSIS OF AI MARKET FOR PLANT & INFRASTRUTURE, BY COUNTRY, 2020&2030 (%)
FIGURE 50. COMPARATIVE SHARE ANALYSIS OF AI MARKET FOR SMART LIFE, BY COUNTRY, 2020&2030 (%)
FIGURE 51. COMPARATIVE SHARE ANALYSIS OF AI MARKET FOR OTHERS, BY COUNTRY, 2020&2030 (%)

Companies Mentioned

  • 3billion
  • 4Paradigm
  • Abeja
  • Ada
  • Aeronext
  • Agile Robots
  • AgriTalk Technology Inc.
  • Ahead
  • AI Medical Service
  • AI Palette
  • Ailet
  • Airobotics
  • Alixir
  • Anagog
  • AnaotherBrain
  • Argi AI
  • Ascent Robotics
  • Babylon
  • BenevolentAI
  • Cardiologs
  • CarKit Ai
  • Cinnamon
  • Cloudera
  • Cortica
  • CreDa
  • Darktrace
  • Databricks
  • Deep Bio
  • Eigen
  • Emosiv
  • Enview
  • FaceHeart
  • FactoryPal
  • Faculty
  • Faraday Future
  • Flex Logix Technologies, Inc.
  • Geek+
  • Gimic
  • Gong.io
  • GrAI Matter Labs
  • Graphcore
  • Hailo
  • HIHedge
  • Horizon Robotics
  • Hyperlex
  • IMAGR
  • Intel Corporation
  • Invisible AI
  • Kayrros
  • King TE MU Jin CO., Ltd.
  • Kneron
  • Konux
  • Kudan
  • Lagz.io
  • Language Hero
  • Leadspace
  • Levia
  • LGN
  • Liaro
  • Liulishuo
  • Lumiata
  • Lunit
  • Mathpresso
  • Mavenir
  • MAVENNIR
  • MedInReal
  • MEF
  • Megvii
  • Mobius Labs
  • Momenta
  • Mujin
  • Neurisium
  • Nexar
  • NOTA
  • OncoHost
  • OneTrust
  • Openedges
  • Owkin
  • Plantio
  • PowerArena
  • Prophesee
  • Retail Pulse
  • Reverie Labs
  • Riid
  • RiiiD
  • Samya.ai
  • Scoutbee
  • SenseTime
  • SoundEye
  • Standigm
  • Stripe
  • SupplyPike
  • Synspective
  • Tamecco
  • ThinkCyte
  • Thought Machine
  • TIBCO
  • Tier IV
  • Ubie
  • VAAK
  • Vekia
  • Verily
  • View
  • Wattie
  • WM Motor
  • Zeotap

Methodology

The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.

They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.

They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:

  • Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
  • Authentic news articles and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast

Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.

Loading
LOADING...