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2022
Japan Edge Ai Market

Japan Edge AI Market by Offering (Hardware, Software, and Services) and End User (Automotive/Mobility, Manufacturing/Robotics, Plant & Infrastructure Preservation, Smart Life, and Others): Opportunity Analysis and Industry Forecast, 2021–2030

A14986
Pages: 332
Dec 2021 | 268 Views
   
Author(s) : Ruchal Humbare, Himanshu Jangra, , Vineet Kumar
Tables: 26
Charts: 51
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COVID-19

Pandemic disrupted the entire world and affected many industries.

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The Japan edge AI market size 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. 

The edge AI market in Japan witnessed a significant growth during COVID-19, owing to surge in demand for industrial automation across the Country.

Edge artificial intelligence is an enhanced combination of edge computing and artificial intelligence commonly known as on-Device AI. By speeding up processes and making devices more energy efficient, AI edge computing technology is aimed to improve decision-making and improve the experience with hyper-personalization. Further, artificial intelligence-based edge computing algorithms in Japan are primarily run over hardware devices locally in edge-AI technologies.

Japan-Edge-AI-Market

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Owing to this, hardware-based intelligent compute applications provide superior insight to the user in real-time. This semiconductor-based edge AI hardware application is anticipated to aid the vendors to offer valuable fleet management solutions in Japan’s manufacturing and automotive sector, which is expected to drive the Japan edge AI market.     

Moreover, the edge intelligence technology in Japan is witnessing a rise, owing to a significant increase in demand for intelligent applications in residential, healthcare, consumer electronics, and retail chains. In addition, coral AI is beneficial as it allows to process data in milliseconds rather than seconds in the cloud, providing with real-time data and decision-making skills for machine learning intelligence, which acts as a prime driving factor for the Japan edge AI market.

The Japan edge AI market share is expected to witness notable growth during the forecast period, owing to rise in enterprise workload on the cloud platforms. Furthermore, rise in demand and trends toward smart wearable devices drives the growth of the Japan edge AI market during the forecast period. In addition, surge in demand for the number of intelligent applications is expected to propel the Japan edge AI market analysis.

However, rise in privacy and security concerns related to edge AI solutions in Japan is expected to restrain the market growth. In addition, the emergence of the 5G network to bring IT and telecom together is anticipated to provide a lucrative opportunity for the growth of the Japan edge AI Industry.

The emergence of COVID-19 has immensely affected the growth rate of edge AI technology across Japan in 2020. A high positive impact has been witnessed in the healthcare sector in Japan, as prime enterprises have started to realize the potential of edge AI software in opposing the influence of COVID 19. However, due to several obstacles created by the COVID-19 pandemic, such as a lack of skilled professionals, project delays or cancellations, and raw material accessibility, the COVID-19 pandemic significantly impacted the growth of Japan Edge AI strategy across the productivity and mobility sectors. In contrast, the rise in demand for intelligence applications across the healthcare, manufacturing, and automotive areas in Japan is projected to drive the Japan edge AI market growth post-pandemic.

On the basis of offering, the hardware segment dominated the market, in terms of revenue in 2020, owing to rise in demand for automation solution across the commercial and industrial sector, which is driving the need for an edge AI technology. 

Japan Edge AI Market
By Offering

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Hardware segment influence the market in 2020, and expected to follow the same in future.

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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. 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 in 2020, and is expected to grow at a high

CAGR from 2021 to 2030. This report also covers analysis for global edge AI market and global and Japan edge AI market.

Top Impacting Factors

Significant factors that impact the growth of the Japan edge AI market include surge in demand and trend toward smart wearable devices coupled with increase in demand for intelligence applications. Further, increasing enterprise workload on the cloud is projected to drive the growth of the Japan edge AI market in coming years. However, surge in privacy and security concerns related to edge AI solutions is acting as a major barrier for early adoption, which hampers the growth of the market. On the contrary, emergence of the 5G network to bring IT and telecom together is anticipated to provide remunerative opportunities for expansion of the Japan edge AI industry during the forecast period.

Japan Edge AI Market
By End User

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Manufacturing/Robotics segment hold domination position in 2020.

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Key Benefits For Stakeholders

  • This study comprises analytical depiction of the Japan edge AI market size along with the current trends and future estimations to depict the imminent investment pockets.
  • The overall Japan edge AI market analysis is determined to understand the profitable trends to gain a stronger foothold.
  • The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
  • The current Japan edge AI market forecast is quantitatively analyzed from 2021 to 2030 to benchmark the financial competency.
  • Porter’s five forces analysis illustrates the potency of the buyers and suppliers in the smart display.
  • The report includes the market share of key vendors and Japan edge AI market trends.

Key Market Segments

  • BY OFERING
    • Hardware
    • Software
    • Service
  • BY END USER
    • Automotive/Mobility
    • Manufacturing/Robotics
    • Plant & Infrastructure Preservations
    • Smart Life
    • Others
 

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 (%)

 
 

Edge artificial intelligence addresses the process of implementation and execution of machine learning locally on the hardware. Further, Japan's edge AI market is witnessing a rise in demand, owing to edge AI ability to offer high safety and security level with improved safety and security features to minimize the risk of the edge-AI device. Moreover, the emergence of AI in Edge computing is a growing collection of connected systems and gadgets that collect and analyze data based on end-user preferences. In addition, surge in demand for smart infrastructure solutions across prime Japanese enterprises is expected to offer profitable opportunities for the Japan edge AI market.

The Japan edge AI market is highly competitive, owing to strong presence of existing vendors. Edge AI vendors, who have access to extensive technical and financial resources, are anticipated to gain a competitive edge over their rivals, as they have the capacity to cater to the market requirements. Competitive environment in this market is expected to further intensify with increase in technological innovations, product extensions, and different strategies adopted by key vendors.

Surge in demand for intelligent devices paired with rise in trends 5G network solution across manufacturing, retail, and automotive sectors in Japan propels the need to enhance edge AI solutions. Moreover, prime venders, such as the SoftBank and Cinnamon AI plan to develop and deploy next-generation edge AI solutions across various sectors. For instance, in 2021, QuEST Global, announced a collaboration with NVIDIA to deliver next-gen AI solutions across Japan, which is anticipated to provide lucrative opportunities for the market growth.

Among the analyzed segments, manufacturing/robotics sector exhibits the highest adoption rate of edge AI and has been experiencing massive expansion in the market. On the other hand, smart life is expected to grow at a faster pace, predicting lucrative growth due to surge in demand for smart infrastructure solution. Sectors, such as plant & infrastructure preservation, automotive, and manufacturing, are also expected to offer new growth opportunities for the edge AI market in Japan during the forecast period.

In Japan, various key players and government agencies are investing in edge AI technology to make them compatible with various industrial platforms. For instance, on November 24, 2021, Internet Initiative Japan Inc., leading Internet -access and comprehensive network solutions provider, signed a partnership agreement with Zella DC to develop edge data center solution, which is showcasing lucrative growth opportunities for the market. 

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