SlideShare una empresa de Scribd logo
1 de 23
Descargar para leer sin conexión
Computer Vision
Technologies and Markets
December 9, 2015
ANAND JOSHI
Senior Analyst
About Tractica
2
Tractica is a market intelligence firm
that focuses on human interaction
with technology.
The firm’s market research and
consulting services provide industry
participants and stakeholders with in-
depth analysis of emerging technology
trends, business issues, market drivers,
and end-user demand dynamics across
multiple application domains.
Sector Focus
• Computer Vision
• Biometrics
• Digital Health
• Wearable Devices
• Automation & Robotics
Research Services
• Research Reports
• Research Subscriptions
• Analyst Inquiry Sessions
• Consulting Projects
• Go-to-Market Services
• End-User Surveys
Copyright © 2015 Tractica
Computer Vision Market
3
Computer vision refers to identification of objects via an image or video
Copyright © 2015 Tractica
Computer Vision - Technology
 Computers are notoriously inadequate
 Humans derive information based on context
 Unknown solution to unknown problem
 Deep learning technologies are emerging as front runner
 100% accuracy still remains elusive
 OCR, one of the oldest computer vision technology, is yet to exceed 99%
accuracy
 Device side vs server side processing
 Embedded devices
 GPUs and FPGAs
4
Computer Vision Market
 Six key application areas
 Automotive, sports & entertainment, consumer & mobile, robotics &
machine vision, medical, and security & surveillance
 Devices (hardware) make up majority of market
 Different business models
 Software-as-a-service
 Technology licensing
 One time payment
 Pay-as-you-go
5
Key Market Trends
 Fragmented. Startup dominated. Like a “rookie quarterback”
 Ready for takeoff
 “Killer apps” are eagerly awaited
 Different drivers in different markets
6
Key Application Markets
7
Computer Vision Market Forecast
8
(Source: Tractica)
Computer Vision Revenue by Application Market, World Markets: 2014-2019
 The total computer vision market is expected to grow from $5.7 billion
in 2014 to $33.3 billion in 2019 at a CAGR of 42%.
Copyright © 2015 Tractica
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
2014 2015 2016 2017 2018 2019
Automotive
Sports & Entertainment
Consumer
Robotics and Machine Vision
Medical
Security & Surveillance
($Millions)
Computer Vision Hardware vs. Software
9
(Source: Tractica)
 The computer vision market is driven by hardware, but software and
services will be an increasing area of opportunity in the next few years.
Copyright © 2015 Tractica
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
2014 2015 2016 2017 2018 2019
Hardware
Software and Services
($Millions)
Computer Vision Revenue by Segment, World Markets: 2014-2019
Computer Vision in Automotive
 Key applications
 Advanced driver assistance systems, obstacle detection systems,
parking assist, driver alertness monitoring, lane departure warning…
 Dominated by hardware
 Ultimate vision: autonomous vehicles
 Drivers and challenges
 Regulations
 Buzz generated by self driving cars
 Liability issues
 Human factors (do I really trust my car more than me?)
 Security
10
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Computer Vision in Automotive
11
(Source: Tractica)
The market is expected to increase from $1.28 billion in 2014 to $5.5 billion in
2019 at a CAGR of 33.7%.
Computer Vision in Consumer & Mobile
12
 Market trends and challenges
 Consumers want “cooler” devices and applications
 VR is being expected to be a “killer app”
 “Nice to have” vs. “must have”
 Camera on smartphone being utilized for CV apps
 Key applications
 Gaming and gesture recognition
 Smartphone and camera apps
 VR and AR
 OCR
 Wearables with vision
Copyright © 2015 Tractica
$0
$2,000
$4,000
$6,000
$8,000
$10,000
$12,000
$14,000
$16,000
$18,000
$20,000
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Computer Vision in Consumer & Mobile
13
(Source: Tractica)
The consumer market is expected to grow at a CAGR of 61%
to $17.5 billion by 2019
Computer Vision in Robotics
& Machine Vision
14
 Market drivers and challenges
 Need for automation
 Lower costs
 Dedicated vs general purpose systems
 Key applications
 Quality inspection, measurement and alignment, label
inspection via OCR
 Programmable systems and self-guiding robots
Copyright © 2015 Tractica
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Computer Vision in Robotics
& Machine Vision
15
(Source: Tractica)
The market will reach $5.49 billion by 2019 from $1.52 billion in 2014 at
a CAGR of 29%
Computer Vision in Medical
16
 Market drivers and challenges
 Ease of extracting relevant information
 Usefulness of data
 Key applications
 CT, MRI, Ultrasound
 Dentistry
 Artery highlighting
 Augmented reality
Copyright © 2015 Tractica
$0
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Computer Vision in Medical
17
(Source: Tractica)
The medical market will grow at a CAGR of 22.7% to $1.5 billion
by the year 2019.
Computer Vision in Sports & Entertainment
18
 Market drivers and challenges
 Powerful video effects for entertainment
 Play and strategy analysis
 Improved decisions
 On-field movement for better vision extraction
 Key applications
 Ball and puck tracking, virtual marker, 3D imaging
 Image stitching, warping, 3D effects are frequently used in
entertainment
 VR broadcast
Copyright © 2015 Tractica
$0
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
Computer Vision in Sports & Entertainment
19
(Source: Tractica)
The sports and entertainment market is expected to grow at a CAGR of
25.9% to $1.37 billion by 2019.
Computer Vision in Security & Surveillance
20
 Drivers and challenges
 Terrorism
 Law Enforcement
 Privacy
 Key applications
 Person tracking, behavior analysis
 Facial recognition
 Biometrics
 Video storage and analysis
 Drone based surveillence
Copyright © 2015 Tractica
Computer Vision in Security & Surveillance
21
$0
$200
$400
$600
$800
$1,000
$1,200
$1,400
$1,600
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
(Source: Tractica)
$0
$500
$1,000
$1,500
$2,000
$2,500
2014 2015 2016 2017 2018 2019
($Millions)
North America
Europe
Asia Pacific
Latin America
Middle East & Africa
The security and surveillance market is expected to reach $1.9 billion by 2019, growing
from $381 million in 2014 at a CAGR of 38.2%.
Conclusions
22
 Computer Vision is poised to take off
 Technology is maturing
 Market is ready
 Tractica believes key applications will emerge in VR, robotics
and automotive markets. Consumer will be the largest
application segment
 More value in hardware than software
 Tractica remains bullish and continues to follow developments
closely
Copyright © 2015 Tractica
Contact
anand.joshi@tractica.com
1111 Pearl Street, Suite 201
Boulder, CO 80302 USA
+1.303.248.3000
www.tractica.com

Más contenido relacionado

La actualidad más candente

Ekbal hussain synopsis of tata motors
Ekbal hussain synopsis of tata motorsEkbal hussain synopsis of tata motors
Ekbal hussain synopsis of tata motors9708834165
 
ELECTRONICS INDUSTRY STUDY REPORT
ELECTRONICS INDUSTRY STUDY REPORT ELECTRONICS INDUSTRY STUDY REPORT
ELECTRONICS INDUSTRY STUDY REPORT SVCAVET
 
Financial Analysis of Hindustan motorsLtd
Financial Analysis of Hindustan motorsLtdFinancial Analysis of Hindustan motorsLtd
Financial Analysis of Hindustan motorsLtdTony Sebastian
 
MarketingPlan-Final-Group1
MarketingPlan-Final-Group1MarketingPlan-Final-Group1
MarketingPlan-Final-Group1Fang Yan
 
Future of autonomous vehicles final report ppt - may 2020
Future of autonomous vehicles   final report ppt - may 2020Future of autonomous vehicles   final report ppt - may 2020
Future of autonomous vehicles final report ppt - may 2020Future Agenda
 
Vehicle Number Plate Recognition System
Vehicle Number Plate Recognition SystemVehicle Number Plate Recognition System
Vehicle Number Plate Recognition Systemprashantdahake
 
Hsa Platform System Architecture Specification Provisional verl 1.0 ratifed
Hsa Platform System Architecture Specification Provisional  verl 1.0 ratifed Hsa Platform System Architecture Specification Provisional  verl 1.0 ratifed
Hsa Platform System Architecture Specification Provisional verl 1.0 ratifed HSA Foundation
 
MG Hector Brochure
MG Hector BrochureMG Hector Brochure
MG Hector BrochureRushLane
 
Autonomous Vehicles: the Intersection of Robotics and Artificial Intelligence
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceAutonomous Vehicles: the Intersection of Robotics and Artificial Intelligence
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
 
Software defined vehicles,automotive standards (safety, security), agile cont...
Software defined vehicles,automotive standards (safety, security), agile cont...Software defined vehicles,automotive standards (safety, security), agile cont...
Software defined vehicles,automotive standards (safety, security), agile cont...Dr. Anish Cheriyan (PhD)
 
Ride Sharing, Congestion, and the Need for Real Sharing
Ride Sharing, Congestion, and the Need for Real SharingRide Sharing, Congestion, and the Need for Real Sharing
Ride Sharing, Congestion, and the Need for Real SharingJeffrey Funk
 
Automobile industry in india 2011
Automobile industry in india 2011Automobile industry in india 2011
Automobile industry in india 2011Jalaj Purohit
 
CPU vs. GPU presentation
CPU vs. GPU presentationCPU vs. GPU presentation
CPU vs. GPU presentationVishal Singh
 
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...Arvind Srivastava
 

La actualidad más candente (20)

Marketing mix of ashok leyland
Marketing mix of ashok leylandMarketing mix of ashok leyland
Marketing mix of ashok leyland
 
Ride sharing app like Uber (Taxi Booking App)
Ride sharing app like Uber (Taxi Booking App)Ride sharing app like Uber (Taxi Booking App)
Ride sharing app like Uber (Taxi Booking App)
 
Ekbal hussain synopsis of tata motors
Ekbal hussain synopsis of tata motorsEkbal hussain synopsis of tata motors
Ekbal hussain synopsis of tata motors
 
ELECTRONICS INDUSTRY STUDY REPORT
ELECTRONICS INDUSTRY STUDY REPORT ELECTRONICS INDUSTRY STUDY REPORT
ELECTRONICS INDUSTRY STUDY REPORT
 
Financial Analysis of Hindustan motorsLtd
Financial Analysis of Hindustan motorsLtdFinancial Analysis of Hindustan motorsLtd
Financial Analysis of Hindustan motorsLtd
 
MarketingPlan-Final-Group1
MarketingPlan-Final-Group1MarketingPlan-Final-Group1
MarketingPlan-Final-Group1
 
Future of autonomous vehicles final report ppt - may 2020
Future of autonomous vehicles   final report ppt - may 2020Future of autonomous vehicles   final report ppt - may 2020
Future of autonomous vehicles final report ppt - may 2020
 
Vehicle Number Plate Recognition System
Vehicle Number Plate Recognition SystemVehicle Number Plate Recognition System
Vehicle Number Plate Recognition System
 
Hsa Platform System Architecture Specification Provisional verl 1.0 ratifed
Hsa Platform System Architecture Specification Provisional  verl 1.0 ratifed Hsa Platform System Architecture Specification Provisional  verl 1.0 ratifed
Hsa Platform System Architecture Specification Provisional verl 1.0 ratifed
 
MG Hector Brochure
MG Hector BrochureMG Hector Brochure
MG Hector Brochure
 
Autonomous Vehicles: the Intersection of Robotics and Artificial Intelligence
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceAutonomous Vehicles: the Intersection of Robotics and Artificial Intelligence
Autonomous Vehicles: the Intersection of Robotics and Artificial Intelligence
 
Software defined vehicles,automotive standards (safety, security), agile cont...
Software defined vehicles,automotive standards (safety, security), agile cont...Software defined vehicles,automotive standards (safety, security), agile cont...
Software defined vehicles,automotive standards (safety, security), agile cont...
 
Ride Sharing, Congestion, and the Need for Real Sharing
Ride Sharing, Congestion, and the Need for Real SharingRide Sharing, Congestion, and the Need for Real Sharing
Ride Sharing, Congestion, and the Need for Real Sharing
 
Automobile industry in india 2011
Automobile industry in india 2011Automobile industry in india 2011
Automobile industry in india 2011
 
Autonomous car
Autonomous carAutonomous car
Autonomous car
 
Asian paints
Asian paintsAsian paints
Asian paints
 
JK Tyres and Industries Ltd
JK Tyres and Industries LtdJK Tyres and Industries Ltd
JK Tyres and Industries Ltd
 
CPU vs. GPU presentation
CPU vs. GPU presentationCPU vs. GPU presentation
CPU vs. GPU presentation
 
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...
Ultrasonic automatic braking system in cars by Accelerator Disengagement Mech...
 
Tata Motors
Tata MotorsTata Motors
Tata Motors
 

Destacado

Making Sense of Drone Market Forecasts: 2016 and Beyond
Making Sense of Drone Market Forecasts: 2016 and BeyondMaking Sense of Drone Market Forecasts: 2016 and Beyond
Making Sense of Drone Market Forecasts: 2016 and BeyondColin Snow
 
Drone Systems and Airframe Selection - Scope and Options
Drone Systems and Airframe Selection - Scope and OptionsDrone Systems and Airframe Selection - Scope and Options
Drone Systems and Airframe Selection - Scope and OptionsColin Snow
 
The future of medical device mfg executive brief
The future of medical device mfg executive briefThe future of medical device mfg executive brief
The future of medical device mfg executive briefPatti Stoll
 
Industrial Uses for Drones
Industrial Uses for DronesIndustrial Uses for Drones
Industrial Uses for DronesColin Snow
 
2017 Drone Market Sector Report
2017 Drone Market Sector Report2017 Drone Market Sector Report
2017 Drone Market Sector ReportColin Snow
 
Drone Market Forecasts: Promises and Reality
Drone Market Forecasts: Promises and RealityDrone Market Forecasts: Promises and Reality
Drone Market Forecasts: Promises and RealityColin Snow
 
Current State of the Drone Industry - Skylogic Research
Current State of the Drone Industry - Skylogic ResearchCurrent State of the Drone Industry - Skylogic Research
Current State of the Drone Industry - Skylogic ResearchColin Snow
 

Destacado (7)

Making Sense of Drone Market Forecasts: 2016 and Beyond
Making Sense of Drone Market Forecasts: 2016 and BeyondMaking Sense of Drone Market Forecasts: 2016 and Beyond
Making Sense of Drone Market Forecasts: 2016 and Beyond
 
Drone Systems and Airframe Selection - Scope and Options
Drone Systems and Airframe Selection - Scope and OptionsDrone Systems and Airframe Selection - Scope and Options
Drone Systems and Airframe Selection - Scope and Options
 
The future of medical device mfg executive brief
The future of medical device mfg executive briefThe future of medical device mfg executive brief
The future of medical device mfg executive brief
 
Industrial Uses for Drones
Industrial Uses for DronesIndustrial Uses for Drones
Industrial Uses for Drones
 
2017 Drone Market Sector Report
2017 Drone Market Sector Report2017 Drone Market Sector Report
2017 Drone Market Sector Report
 
Drone Market Forecasts: Promises and Reality
Drone Market Forecasts: Promises and RealityDrone Market Forecasts: Promises and Reality
Drone Market Forecasts: Promises and Reality
 
Current State of the Drone Industry - Skylogic Research
Current State of the Drone Industry - Skylogic ResearchCurrent State of the Drone Industry - Skylogic Research
Current State of the Drone Industry - Skylogic Research
 

Similar a "Computer Vision and Artificial Intelligence: Market Trends and Implications," a Presentation from Tractica

Facial Recognition Technology Market Research Report
Facial Recognition Technology Market Research ReportFacial Recognition Technology Market Research Report
Facial Recognition Technology Market Research ReportVIA Embedded
 
Top Adopters of IoT in 2018 - An Infographic by RapidValue
Top Adopters of IoT in 2018 - An Infographic by RapidValueTop Adopters of IoT in 2018 - An Infographic by RapidValue
Top Adopters of IoT in 2018 - An Infographic by RapidValueRapidValue
 
Top 8 IT Skills and Tech Skills In-Demand for 2022
 Top 8 IT Skills and Tech Skills In-Demand for 2022 Top 8 IT Skills and Tech Skills In-Demand for 2022
Top 8 IT Skills and Tech Skills In-Demand for 2022itjobboarduk
 
Software Outsourcing Market Trends, Survey & Analysis
Software Outsourcing Market Trends, Survey & AnalysisSoftware Outsourcing Market Trends, Survey & Analysis
Software Outsourcing Market Trends, Survey & AnalysisNexSoftsys
 
Bill Barney's Key Note at the Wan Summit
Bill Barney's Key Note at the Wan Summit Bill Barney's Key Note at the Wan Summit
Bill Barney's Key Note at the Wan Summit William Barney
 
Top Technology Trends and Related Jobs
Top Technology Trends and Related JobsTop Technology Trends and Related Jobs
Top Technology Trends and Related JobsRock Interview
 
3 d machine vision
3 d machine vision3 d machine vision
3 d machine visionSidhant Kale
 
IDC, the third platform and a security perspective Latam, Cisco Live 2014
IDC, the third platform and a security perspective Latam, Cisco Live 2014IDC, the third platform and a security perspective Latam, Cisco Live 2014
IDC, the third platform and a security perspective Latam, Cisco Live 2014Felipe Lamus
 
3 d machine vision market
3 d machine vision market3 d machine vision market
3 d machine vision marketSidhant Kale
 
Ces 2018 Trends to Watch
Ces 2018 Trends to WatchCes 2018 Trends to Watch
Ces 2018 Trends to WatchRob Blaauboer
 
Teaching Session with Robin Joffe 2/2
Teaching Session with Robin Joffe 2/2Teaching Session with Robin Joffe 2/2
Teaching Session with Robin Joffe 2/2SparkLabs
 
EnliteUs Technologies
EnliteUs TechnologiesEnliteUs Technologies
EnliteUs TechnologiesSharique Ali
 
DXC Industrialized Analytics and AI - I2AI Marathon
DXC Industrialized Analytics and AI - I2AI MarathonDXC Industrialized Analytics and AI - I2AI Marathon
DXC Industrialized Analytics and AI - I2AI MarathonPedro Martins
 
AI and Big Data Analytics
AI and Big Data AnalyticsAI and Big Data Analytics
AI and Big Data AnalyticsInData Labs
 
Enabling A Digital India
Enabling A Digital IndiaEnabling A Digital India
Enabling A Digital IndiaINDUSCommunity
 

Similar a "Computer Vision and Artificial Intelligence: Market Trends and Implications," a Presentation from Tractica (20)

Facial Recognition Technology Market Research Report
Facial Recognition Technology Market Research ReportFacial Recognition Technology Market Research Report
Facial Recognition Technology Market Research Report
 
Top Adopters of IoT in 2018 - An Infographic by RapidValue
Top Adopters of IoT in 2018 - An Infographic by RapidValueTop Adopters of IoT in 2018 - An Infographic by RapidValue
Top Adopters of IoT in 2018 - An Infographic by RapidValue
 
Top 8 IT Skills and Tech Skills In-Demand for 2022
 Top 8 IT Skills and Tech Skills In-Demand for 2022 Top 8 IT Skills and Tech Skills In-Demand for 2022
Top 8 IT Skills and Tech Skills In-Demand for 2022
 
Software Outsourcing Market Trends, Survey & Analysis
Software Outsourcing Market Trends, Survey & AnalysisSoftware Outsourcing Market Trends, Survey & Analysis
Software Outsourcing Market Trends, Survey & Analysis
 
UTILITY OF AI
UTILITY OF AIUTILITY OF AI
UTILITY OF AI
 
CES 2019 Tech Trends
CES 2019 Tech TrendsCES 2019 Tech Trends
CES 2019 Tech Trends
 
RMS Automotive E.N.G 2018 presentation
RMS Automotive E.N.G 2018 presentationRMS Automotive E.N.G 2018 presentation
RMS Automotive E.N.G 2018 presentation
 
Bill Barney's Key Note at the Wan Summit
Bill Barney's Key Note at the Wan Summit Bill Barney's Key Note at the Wan Summit
Bill Barney's Key Note at the Wan Summit
 
ICSA Ireland CPD event - Essential Eight Technologies
ICSA Ireland CPD event - Essential Eight TechnologiesICSA Ireland CPD event - Essential Eight Technologies
ICSA Ireland CPD event - Essential Eight Technologies
 
Top Technology Trends and Related Jobs
Top Technology Trends and Related JobsTop Technology Trends and Related Jobs
Top Technology Trends and Related Jobs
 
3 d machine vision
3 d machine vision3 d machine vision
3 d machine vision
 
IDC, the third platform and a security perspective Latam, Cisco Live 2014
IDC, the third platform and a security perspective Latam, Cisco Live 2014IDC, the third platform and a security perspective Latam, Cisco Live 2014
IDC, the third platform and a security perspective Latam, Cisco Live 2014
 
3 d machine vision market
3 d machine vision market3 d machine vision market
3 d machine vision market
 
Ces 2018 Trends to Watch
Ces 2018 Trends to WatchCes 2018 Trends to Watch
Ces 2018 Trends to Watch
 
ICT Outlook 2016
ICT Outlook 2016ICT Outlook 2016
ICT Outlook 2016
 
Teaching Session with Robin Joffe 2/2
Teaching Session with Robin Joffe 2/2Teaching Session with Robin Joffe 2/2
Teaching Session with Robin Joffe 2/2
 
EnliteUs Technologies
EnliteUs TechnologiesEnliteUs Technologies
EnliteUs Technologies
 
DXC Industrialized Analytics and AI - I2AI Marathon
DXC Industrialized Analytics and AI - I2AI MarathonDXC Industrialized Analytics and AI - I2AI Marathon
DXC Industrialized Analytics and AI - I2AI Marathon
 
AI and Big Data Analytics
AI and Big Data AnalyticsAI and Big Data Analytics
AI and Big Data Analytics
 
Enabling A Digital India
Enabling A Digital IndiaEnabling A Digital India
Enabling A Digital India
 

Más de Edge AI and Vision Alliance

“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...Edge AI and Vision Alliance
 
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...Edge AI and Vision Alliance
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...Edge AI and Vision Alliance
 
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...Edge AI and Vision Alliance
 
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...Edge AI and Vision Alliance
 
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...Edge AI and Vision Alliance
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...Edge AI and Vision Alliance
 
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsightsEdge AI and Vision Alliance
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...Edge AI and Vision Alliance
 
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...Edge AI and Vision Alliance
 
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...Edge AI and Vision Alliance
 
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...Edge AI and Vision Alliance
 
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...Edge AI and Vision Alliance
 
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...Edge AI and Vision Alliance
 
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...Edge AI and Vision Alliance
 
“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from SamsaraEdge AI and Vision Alliance
 
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...Edge AI and Vision Alliance
 
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...Edge AI and Vision Alliance
 
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...Edge AI and Vision Alliance
 
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...Edge AI and Vision Alliance
 

Más de Edge AI and Vision Alliance (20)

“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
“Learning Compact DNN Models for Embedded Vision,” a Presentation from the Un...
 
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Hag...
 
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Pre...
 
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
“Building Accelerated GStreamer Applications for Video and Audio AI,” a Prese...
 
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
“Understanding, Selecting and Optimizing Object Detectors for Edge Applicatio...
 
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
“Introduction to Modern LiDAR for Machine Perception,” a Presentation from th...
 
“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...“Vision-language Representations for Robotics,” a Presentation from the Unive...
“Vision-language Representations for Robotics,” a Presentation from the Unive...
 
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
“ADAS and AV Sensors: What’s Winning and Why?,” a Presentation from TechInsights
 
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
“Computer Vision in Sports: Scalable Solutions for Downmarkets,” a Presentati...
 
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
“Detecting Data Drift in Image Classification Neural Networks,” a Presentatio...
 
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
“Deep Neural Network Training: Diagnosing Problems and Implementing Solutions...
 
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
“AI Start-ups: The Perils of Fishing for Whales (War Stories from the Entrepr...
 
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
“A Computer Vision System for Autonomous Satellite Maneuvering,” a Presentati...
 
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
“Bias in Computer Vision—It’s Bigger Than Facial Recognition!,” a Presentatio...
 
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
“Sensor Fusion Techniques for Accurate Perception of Objects in the Environme...
 
“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara“Updating the Edge ML Development Process,” a Presentation from Samsara
“Updating the Edge ML Development Process,” a Presentation from Samsara
 
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
“Combating Bias in Production Computer Vision Systems,” a Presentation from R...
 
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
“Developing an Embedded Vision AI-powered Fitness System,” a Presentation fro...
 
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
“Navigating the Evolving Venture Capital Landscape for Edge AI Start-ups,” a ...
 
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
“Advanced Presence Sensing: What It Means for the Smart Home,” a Presentation...
 

Último

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 

Último (20)

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 

"Computer Vision and Artificial Intelligence: Market Trends and Implications," a Presentation from Tractica

  • 1. Computer Vision Technologies and Markets December 9, 2015 ANAND JOSHI Senior Analyst
  • 2. About Tractica 2 Tractica is a market intelligence firm that focuses on human interaction with technology. The firm’s market research and consulting services provide industry participants and stakeholders with in- depth analysis of emerging technology trends, business issues, market drivers, and end-user demand dynamics across multiple application domains. Sector Focus • Computer Vision • Biometrics • Digital Health • Wearable Devices • Automation & Robotics Research Services • Research Reports • Research Subscriptions • Analyst Inquiry Sessions • Consulting Projects • Go-to-Market Services • End-User Surveys Copyright © 2015 Tractica
  • 3. Computer Vision Market 3 Computer vision refers to identification of objects via an image or video Copyright © 2015 Tractica
  • 4. Computer Vision - Technology  Computers are notoriously inadequate  Humans derive information based on context  Unknown solution to unknown problem  Deep learning technologies are emerging as front runner  100% accuracy still remains elusive  OCR, one of the oldest computer vision technology, is yet to exceed 99% accuracy  Device side vs server side processing  Embedded devices  GPUs and FPGAs 4
  • 5. Computer Vision Market  Six key application areas  Automotive, sports & entertainment, consumer & mobile, robotics & machine vision, medical, and security & surveillance  Devices (hardware) make up majority of market  Different business models  Software-as-a-service  Technology licensing  One time payment  Pay-as-you-go 5
  • 6. Key Market Trends  Fragmented. Startup dominated. Like a “rookie quarterback”  Ready for takeoff  “Killer apps” are eagerly awaited  Different drivers in different markets 6
  • 8. Computer Vision Market Forecast 8 (Source: Tractica) Computer Vision Revenue by Application Market, World Markets: 2014-2019  The total computer vision market is expected to grow from $5.7 billion in 2014 to $33.3 billion in 2019 at a CAGR of 42%. Copyright © 2015 Tractica $0 $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 2014 2015 2016 2017 2018 2019 Automotive Sports & Entertainment Consumer Robotics and Machine Vision Medical Security & Surveillance ($Millions)
  • 9. Computer Vision Hardware vs. Software 9 (Source: Tractica)  The computer vision market is driven by hardware, but software and services will be an increasing area of opportunity in the next few years. Copyright © 2015 Tractica $0 $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 2014 2015 2016 2017 2018 2019 Hardware Software and Services ($Millions) Computer Vision Revenue by Segment, World Markets: 2014-2019
  • 10. Computer Vision in Automotive  Key applications  Advanced driver assistance systems, obstacle detection systems, parking assist, driver alertness monitoring, lane departure warning…  Dominated by hardware  Ultimate vision: autonomous vehicles  Drivers and challenges  Regulations  Buzz generated by self driving cars  Liability issues  Human factors (do I really trust my car more than me?)  Security 10
  • 11. $0 $1,000 $2,000 $3,000 $4,000 $5,000 $6,000 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa Computer Vision in Automotive 11 (Source: Tractica) The market is expected to increase from $1.28 billion in 2014 to $5.5 billion in 2019 at a CAGR of 33.7%.
  • 12. Computer Vision in Consumer & Mobile 12  Market trends and challenges  Consumers want “cooler” devices and applications  VR is being expected to be a “killer app”  “Nice to have” vs. “must have”  Camera on smartphone being utilized for CV apps  Key applications  Gaming and gesture recognition  Smartphone and camera apps  VR and AR  OCR  Wearables with vision Copyright © 2015 Tractica
  • 13. $0 $2,000 $4,000 $6,000 $8,000 $10,000 $12,000 $14,000 $16,000 $18,000 $20,000 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa Computer Vision in Consumer & Mobile 13 (Source: Tractica) The consumer market is expected to grow at a CAGR of 61% to $17.5 billion by 2019
  • 14. Computer Vision in Robotics & Machine Vision 14  Market drivers and challenges  Need for automation  Lower costs  Dedicated vs general purpose systems  Key applications  Quality inspection, measurement and alignment, label inspection via OCR  Programmable systems and self-guiding robots Copyright © 2015 Tractica
  • 15. $0 $1,000 $2,000 $3,000 $4,000 $5,000 $6,000 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa Computer Vision in Robotics & Machine Vision 15 (Source: Tractica) The market will reach $5.49 billion by 2019 from $1.52 billion in 2014 at a CAGR of 29%
  • 16. Computer Vision in Medical 16  Market drivers and challenges  Ease of extracting relevant information  Usefulness of data  Key applications  CT, MRI, Ultrasound  Dentistry  Artery highlighting  Augmented reality Copyright © 2015 Tractica
  • 17. $0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa Computer Vision in Medical 17 (Source: Tractica) The medical market will grow at a CAGR of 22.7% to $1.5 billion by the year 2019.
  • 18. Computer Vision in Sports & Entertainment 18  Market drivers and challenges  Powerful video effects for entertainment  Play and strategy analysis  Improved decisions  On-field movement for better vision extraction  Key applications  Ball and puck tracking, virtual marker, 3D imaging  Image stitching, warping, 3D effects are frequently used in entertainment  VR broadcast Copyright © 2015 Tractica
  • 19. $0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa Computer Vision in Sports & Entertainment 19 (Source: Tractica) The sports and entertainment market is expected to grow at a CAGR of 25.9% to $1.37 billion by 2019.
  • 20. Computer Vision in Security & Surveillance 20  Drivers and challenges  Terrorism  Law Enforcement  Privacy  Key applications  Person tracking, behavior analysis  Facial recognition  Biometrics  Video storage and analysis  Drone based surveillence Copyright © 2015 Tractica
  • 21. Computer Vision in Security & Surveillance 21 $0 $200 $400 $600 $800 $1,000 $1,200 $1,400 $1,600 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa (Source: Tractica) $0 $500 $1,000 $1,500 $2,000 $2,500 2014 2015 2016 2017 2018 2019 ($Millions) North America Europe Asia Pacific Latin America Middle East & Africa The security and surveillance market is expected to reach $1.9 billion by 2019, growing from $381 million in 2014 at a CAGR of 38.2%.
  • 22. Conclusions 22  Computer Vision is poised to take off  Technology is maturing  Market is ready  Tractica believes key applications will emerge in VR, robotics and automotive markets. Consumer will be the largest application segment  More value in hardware than software  Tractica remains bullish and continues to follow developments closely Copyright © 2015 Tractica
  • 23. Contact anand.joshi@tractica.com 1111 Pearl Street, Suite 201 Boulder, CO 80302 USA +1.303.248.3000 www.tractica.com