The explosion in the volume of visual data, coupled with the increased sophistication of artificial neural networks and the availability of chips created specifically for artificial intelligence (AI) processes, will all drive growth in computer vision (CV) over the coming years. CV will find myriad applications in several industries, reaching a market size of $32.8 billion by 2030, up from $12.5 billion in 2021, according to publisher forecasts.
Key Highlights
- The level of underlying intelligence required for CV in autonomous vehicles (AVs) and autonomous mobile robots (AMRs) is significantly higher than that needed to recognize faces or read barcodes. An internal three-dimensional representation of the world, spatial awareness, and planning and reasoning capabilities are needed. Fully autonomous vehicles (Level 5) are not expected until 2035, largely because of these CV challenges. Competition in these fields will intensify in the coming years.
- Driven by ethical and political reasons, using CV in facial recognition will increase divergence over standards and regulatory approaches. This will ultimately lead to a supply chain decoupling in the CV segment, as is already underway in semiconductors. Once the regulatory wheels are in motion, it will likely impact the CV market beyond just facial recognition.
- CV solutions rely on advanced AI chips due to the exponential increase in data sets' sizes and algorithms' complexity. As such, the ongoing US-China trade dispute, which has led to the US prohibiting exports to China of either advanced AI chips or the advanced tools to manufacture them, will disrupt the competitive landscape of the CV industry. As with AI chips and other advanced semiconductors, China will lose its CV market dominance unless it can secure access to advanced chip manufacturing technology.
Scope
- This report provides an overview of the computer vision theme.
- It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
- It includes global market forecasts for the computer vision market and analysis of patents, company filings, and hiring trends.
- It contains details of M&A deals driven by the computer vision theme, and a timeline highlighting milestones in the development of computer vision.
- The detailed value chain consists of three segment: hardware, software, and delivery.
Reasons to Buy
- Computer vision is being commercialized across several areas, including automotive, consumer, industrial, medical, and entertainment.
- This report provides a clear and concise analysis of computer vision, including valuable insights into how it works, what it is being used for, and which companies are at the forefront of its development. It also evaluates the controversial nature of technology like facial recognition and looks at how regulators could limit its use.
Table of Contents
- Executive Summary
- Players
- Technology Briefing
- What is computer vision?
- Four key CV technologies
- Image recognition
- Video recognition
- Object detection
- Positioning and navigation
- CV and ethics
- Inaccuracy
- Privacy
- Time limits
- Lack of technical standards
- Ubiquity
- Trends
- Technology trends
- Macroeconomic trends
- Regulatory trends
- Industry Analysis
- Market size and growth forecasts
- Competitive analysis
- US leaders in CV
- Chinese leaders in CV
- Use cases
- Automotive
- Healthcare
- Advertising
- Banking and finance
- Utilities
- Mergers and acquisitions
- Patent trends
- Company filings trends
- Hiring trends
- Timeline
- Value Chain
- Hardware
- Semiconductors
- Cameras
- Sensors and lasers
- Servers
- Storage
- Networking equipment
- Edge equipment
- Software
- Foundation layer
- Application layer
- Delivery
- Companies
- Public companies
- Private companies
- Sector Scorecards
- Application software sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Semiconductor sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Consumer electronics sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Glossary
- Further Reading
- Publisher reports
- Thematic Research Methodology
- About the Publisher
- Contact the Publisher
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AAC Technologies
- Aardvark Tactical
- ABB
- ABBYY
- Acer
- Adimec
- Adobe
- Advantech
- AEye
- AI.Reverie
- Algorithmia
- Alibaba
- Alkira
- Alphabet (Google)
- Alphabet (Waymo)
- Amazon
- Amazon
- Amazon (Kiva, Zoox)
- Ambarella
- AMD
- AMS
- ANYbotics
- Apple
- Aptiv
- Arista
- ASCON (C3D Labs)
- Aurora
- Autodesk
- Aviatrix
- BAE Systems
- Baidu
- Basler
- BigML
- BMW
- Bosch
- Brain Corp
- ByteDance (TikTok)
- Cambricon
- Canon
- Casio
- Cato Networks
- Celona
- Cerebras
- CGAL
- Chooch AI
- Cisco
- Clarifai
- CloudWalk
- Cobalt Iron
- Cognex
- CognitiveScale
- Coherix
- Commnet
- Commvault
- Continental
- Cyc
- Dahua
- Dassault Systemes
- Data Cirect Networks
- Deepomatic
- Dell Technologies
- Denso
- DJI
- dotData
- Ericsson
- Esaote
- Extreme Networks
- Facewatch
- FDNA
- Festo
- Fetch Robotics
- Finisar
- FlexEnable
- flexiWAN
- Flexpoint
- Ford/VW (Argo AI)
- Fortinet
- Fujifilm
- Fujitsu
- GE
- GE (Healthcare)
- Geometros
- Global Laser
- GM (Cruise)
- Goertek
- Graphcore
- Groq
- Gstarsoft
- H2O.ai
- Hahn Group (Rethink Robotics)
- Hawk-Eye Innovations
- Hikvision
- Hitachi
- Hive
- Hologic
- Horizon Robotics
- HPE
- Huawei
- Huawei (HiSilicon)
- Hypatos
- Hyundai (Boston Dynamics)
- IBM
- Indie Semiconductor
- Infineon
- Infinidat
- Infiot
- Innoviz
- Inspur
- IntegrityWare
- Intel
- Intel (Mobileye)
- IntelliVision
- iProov
- Juniper Networks
- Kaminario
- Keyence
- Keyence
- Khronos Group
- Klippa
- Kofax
- Kubotek
- LEDAS
- Lenovo
- Lockheed Martin
- Lumentum
- Luminar Technologies
- Magna
- Megvii
- Megvii (Face++)
- Merative
- Meta
- Microsoft
- Microsoft
- Microvision
- Midea (KUKA)
- Motional
- Murata
- Mythic
- Nauto
- NEC
- NetApp
- Neurala
- Nikon
- Nippon Ceramic
- Nokia
- Northop Grumman
- Nutanix
- Nvidia
- NXP
- OEM Automatic
- Omron
- Omron
- Onshape
- Open CASCADE
- openEASE
- OpteamX
- Oracle
- Oxide Computer
- Palo Alto Networks
- Panasonic
- Pavilion Data Systems
- Pensando
- PerceptiLabs
- Philips
- Pony.ai
- Prophesee
- PTC
- PureStorage
- Qualcomm
- Quanergy
- RDF
- Renesas
- Restb.ai
- Ricoh
- Rockport Networks
- Rockwell
- Rockwell Automation
- Rohm
- ROS-Industrial
- Rossum
- Samsung Electronics
- SenseTime
- Shimadzu
- Siasun
- Siemens
- Siemens (DIS)
- SiLC
- Skydio
- Snap
- Solid Modeling Solutions
- Sony
- SparkCognition
- Stateless
- Stemmer Imaging
- STMicroelectronics
- StorONE
- Sugon
- Supermicro
- Syte
- TDK
- TE Connectivity
- TechSoft3D
- Teledyne
- Tencent
- Teradyne
- Tesla
- Texas Instruments
- Thales
- Thales Group
- Top Systems
- Toshiba
- Trax
- Trustgrid
- Tung Thih
- TuSimple
- Valossa
- Velodyne
- Veoneer
- Veritas
- Violin Systems
- ViSenze
- Visionati
- VistaLink NV
- Visteon
- VMware
- Voyant Photonics
- Walt Disney
- Warner Bros. Discovery
- WebGL
- Western Digital
- World Wide Web Consortium (Semantic Web)
- Zeetta Networks
- Zegami
- ZF
- ZWsoft
