AI in Computer Vision Market by Component (Hardware, Software), Vertical (Automotive, Sports & Entertainment, Consumer, Robotics & Machine Vision, Healthcare, Security & Surveillance, Agriculture), and Region - Global Forecast to 2023
The AI in computer vision market was valued at USD 2.37 billion in 2017 and is expected to reach USD 25.32 billion by 2023, at a CAGR of 47.54% during the forecast period. In this report, 2017 has been considered as the base year, and the forecast period is from 2018 to 2023. The objective of the report is to define, describe, and forecast the AI in computer vision market, in terms of value, on the basis of vertical, component, and geography. The major factors that are expected to be driving the AI in Computer Vison Market include growing demand for edge computing in mobile devices, increasing demand for computer vision systems in nontraditional and emerging applications and growing impact of AI in machine vision.
Consumer vertical expected to hold the largest market size during the forecast period
The AI in computer vision market, by vertical, is expected to be valued at USD 2.37 billion in 2017 and is likely to reach USD 25.32 billion by 2023, at a CAGR of 47.54% during the forecast period. The market for the automotive is expected to be valued at USD 0.17 billion in 2017 and is likely to reach USD 2.66 billion by 2023, at the highest CAGR of 56.30% during the forecast period. This market growth can be attributed to the initiatives taken by the Chinese government to support AI by providing funding for research and development, support for workforce development, and suggestions for international collaboration and expansion. Also, various Chinese players are collaborating with leading players to train deep neural networks for machine learning and Al. For instance, in September 2017, NVIDIA Corporation (US) introduced a new technology to help drive revenue in the Chinas AI market for machine learning. Also, Google Inc. (US) and Apple Inc. (US) launched their AI-based smartphonesGoogle Pixel 2/Pixel 2X, iPhone 8 plus, and iPhone Xthat have various features such as user authentication, emotion recognition, personal profiling, and others, which would improve usability and self-service capabilities.
Market for GPU in APAC is expected to grow at the highest CAGR during the forecast period
The AI in computer vision market, for GPUs in APAC is expected to be valued at USD 159.4 million by 2023, growing at a CAGR of 71.68% during the forecast period. The market for GPUs in APAC is expected to grow at the highest CAGR during the forecast period because of potential customer base in the region. Additionally, with decreasing average selling price (ASP), there is an increasing demand for laptops. The increasing demand for advanced GPUs in the gaming segment drives the growth of the AI in computer vision market in APAC.
Market for AR/VR in APAC is expected to grow at the highest CAGR during the forecast period
The AI in computer vision market for VR/AR in APAC was valued at USD 1.1 million in 2017 and is likely to reach USD 55.8 million by 2023, at a CAGR of 91.14% during the forecast period. The AR/VR players in APAC are increasingly adopting AI based processors in AR/VR headsets. For instance, in June 2016, Movidius (US) signed a partnership with Lenovo (China) to provide advanced vision processing technology for a variety of VR-centric Lenovo products. According to this partnership, Lenovo will be able to source the advanced Myriad 2 vision processing unit (VPU) and custom computer vision algorithms for various virtual reality projects. Also, Apple Inc. (US), Facebook, Inc. (US), and Google Inc. (US) are focused on deploying VR and AR in smartphones that require graphics cards to operate.
APAC expected to grow at the highest CAGR during the forecast period
The AI in computer vision market in APAC is expected to be valued at USD 0.60 billion in 2017 and is likely to reach USD 10.06 billion by 2023, at the highest CAGR of 59.14% between 2018 and 2023. The growth in India can be attributed to the growing investment across sectors in building data-based businesses and the recognition by the Government of India to create enabling policies for AI. Also, the government is providing a funding of approximately USD 477 million to promote machine learning, 3D printing, and other technologies in the country.
Market Dynamics
Driver: Growing demand for edge computing in mobile devices
Most AI algorithms need a large amount of data and computing power to accomplish tasks. For this reason, they rely on cloud servers to perform their computations; they are not capable of accomplishing tasks on devices, mobile phones, computers, and other devices. This limitation makes AI algorithms inefficient in settings where connectivity is sparse and where operations need to be performed in time-critical situations. Premium smartphone vendors are exploring SoC design and frameworks that will bring AI closer to the edge. The connectivity in mobile devices suffers from latency, network congestion, signal collision, and huge geographic coverage. These are few challenges that we face when processing edge data in the cloud. The dedicated chipset in mobile devices can help compute resources in real time and execute algorithms without the need for a round-trip to the cloud.
Apart from smartphones, drones, augmented reality, and driverless cars need to run real-time deep learning. Any delay because of the communication with the cloud can result in disastrous or fatal events. Also, in case of a network disruption, a total halt of operations is imaginable. At this stage of the market, Apple (US) and Google (US) are using AI processors in their flagship smartphones products. However, with the growth of AI in autonomous cars, drones, and other mobile devices, other players are also expected to enter in this market space.
Restraint: Lack of awareness and technical knowledge
The increasing competition in the manufacturing sector and the growing demand of customers for better products at a competitive price have made advanced automation essential for industrial and non-industrial applications. However, various industries such as sports and entertainment, robotics and machine vision, and healthcare are not convincingly adopting AI-enabled computer vision systems due to the lack of awareness and technical expertise. There is a need to make end-customers understand about the benefits of the 3D or 4D computer vision technology. For instance, stereo vision technology uses additional data of height/depth of every point in the image. This technology can precisely measure the distance to an object by comparing two images and detect defects that are difficult to identify with 2D computer vision systems. It can inspect the shape of bottles and bent pins with a connector. Thus, 3D computer vision is helpful in the environment wherein the size of the objects is not fixed.
As upgrading 3D and 4D computer vision technologies are becoming complex and sophisticated day by day, there is an increasing need for regular training courses and workshops for customers. The training takes time, and poor programming can produce inaccurate results. This would contribute to the higher operating cost of computer vision systems.
Opportunity: Development of machine learning regarding vision technology
Applications that require speed, high resolution, and good sensitivity to light are expected to push the vision system technology forward. The future development of technologies, individual components, or complete systems is expected to concentrate mainly on enhanced resolution and speed, greater sensitivity, easier integration capabilities, and faster interfaces. These innovations also ensure constant advancements in new industries and for non-industrial applications. Advancement in camera dynamic range and resolution, computational cameras, real-time detection of moving objects, use of color information, analysis of point clouds, and cloud computing of machine vision are some of the technological developments that the computer vision industry is going to experience in the future.
For instance, Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models. It classifies images into thousands of categories, detects individual objects and faces within images, and finds and reads printed words contained within images. It builds metadata on the users image catalog, or enable new marketing scenarios through image sentiment analysis. Furthermore, it analyzes images uploaded through a request or integrates with your image stored in Google Cloud.
In August 2016, Ford (US) acquired SAIPS (Israel) to integrate human-like intelligence into machine learning components of driverless car systems. SAIPS technology focuses on image- and video-processing algorithms and deep learning that enables processing and classifying input signals. The SAIPS technology enables on-board interpretation of data captured by sensors in Fords self-driving cars, and turns that data into usable information for the cars virtual driver system.
This has enabled the development of machine learning into autonomous vehicles using vision technology.
Challenge: Premium pricing of AI hardware
AI is rapidly being incorporated into diverse applications in the cloud and at the networks edge. AI hardware needs to be miniaturized into low-cost, reliable, high-performance chips to increase the adoption of AI. Companies such as Google (US), Apple (US), and Huawei (China) are including AI hardware components and software solutions in their flagship smartphones. These smartphones use AI in all applications ranging from imaging and photography to power efficiency and security. According to the recent trend, it can be predicted that the AI chipset market will grow rapidly by 2022; the price will drop approximately below USD 25 per chip, and the open-source ecosystem for real-time Linux on DL SOC will emerge. This as a result will trigger mass adoption of AI edge-client chipsets for mobiles and PCs/laptops, e.g., Snapdragon, an application processor that gives mobile phones the computing power to run sophisticated applications and software. Snapdragon is also used by other companies such as Toshiba (Japan), Acer (Taiwan), and Google (US). The short-term impact of premium cost of edge-based processors is expected to be a major challenge. However, in the long term, the overall economy of scale of the manufacturers of AI processors is expected to minimize the overall impact during the forecast period.
Scope of the Report
|
Report Metric |
Details |
|
Market size available for years |
20152023 |
|
Base year considered |
2017 |
|
Forecast period |
20152023 |
|
Forecast units |
Million/ Billion (USD) |
|
Segments covered |
Component, Vertical and Region |
|
Geographies covered |
North America, Europe, APAC, RoW |
|
Companies covered |
NVIDIA (US), Intel (US), Apple (US), Alphabet (US), Qualcomm (US), Microsoft (US), Basler (Germany), Teledyne (US), Wikitude (Austria), Cognex (US), National Instruments (US), ISRA Vision (Germany), Avigilon (Canada), and General Electric (US) |
The global AI in computer vision market, in this research report, has been segmented on the basis of component, vertical, and geography.
AI in Computer Vision Market, by Component:
- Hardware
- Software
AI in Computer Vision Market, by Vertical:
- Automotive
- Sports and Entertainment
- Consumer
- Robotics and Machine Vision
- Healthcare
- Security and Surveillance
- Agriculture
- Others
AI in Computer Vision Market, by Region:
- North America
- Europe
- APAC
- RoW
Key Market Players
NVIDIA (US), Intel (US), Apple (US), Alphabet (US), Qualcomm (US), Microsoft (US), Basler (Germany), Teledyne (US), Wikitude (Austria), Cognex (US), National Instruments (US), ISRA Vision (Germany), Avigilon (Canada), and General Electric (US)
NVIDIA is among the world leaders in the visual computing business. It has a well-established geographic footprint and deals with major OEMs or ODMs. The company continues to lead in the development of new products for the AI in computer vision market. Recently, NVIDIA has witnessed significant jump in its data center revenue. It is giving tough competition to Intel in the data center market. NVIDIA DRIVE for automakers to build and deploy self-driving cars and trucks that are functionally safe and certified to international safety standards is one of the important products of the company. NVIDIA is well ahead in the R&D of autonomous cars when compared to its competitors.
Recent Developments
- In January 2018, NVIDIA announced a new architecture of NVIDIA DRIVE, its AI autonomous vehicle platform that uses redundant and diverse functions to enable vehicles to operate safely. The architecture enables automakers to build and deploy self-driving cars and trucks that are functionally safe and certified to international safety standards, e.g., ISO 26262.
- In September 2017, Intel launched Computer Vision SDK that allows developers to make their computer vision applications more accurate and faster. Computer Vision SDK combines video processing, computer vision, machine learning, and pipeline optimization into a single package.
- In February 2018, Google (US) launched tensor processing units (TPUs) to run specific machine learning workflows significantly faster than the standard GPUs.
- In February 2018, Qualcomm (US) introduced its Qualcomm Artificial Intelligence (AI) Engine, which comprises several hardware components and software solutions that accelerate on-device AI-enabled user experiences on Qualcomm Snapdragon mobile platforms.
- In September 2017, Apple acquired Regaind (France) to access Regainds computer vision application programming interface (API) and analyze the content of photos.
Key Questions Answered
- Where will all these developments take the industry in the long term?
- What are the upcoming trends for the AI in Computer Vision market?
- Which segment provides the most opportunity for growth?
- Who are the leading vendors operating in this market?
- What are the opportunities for new market entrants?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 16)
1.1 Objectives of the Study
1.2 Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 By Geography
1.3.3 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders
2 Research Methodology (Page No. - 20)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumption
3 Executive Summary (Page No. - 27)
4 Premium Insight (Page No. - 32)
4.1 Growing Impact of AI in Computer Vision
4.2 Global AI in Computer Vision Market, By Component
4.3 Market, By Country
4.4 China to Dominate the Market in APAC in 2018
4.5 AI Solution Software in Market
5 Market Overview (Page No. - 35)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Demand for Edge Computing in Mobile Devices
5.2.1.2 Increasing Demand for Computer Vision Systems in NonTraditional and Emerging Applications
5.2.1.3 Growing Impact of AI in Machine Vision
5.2.2 Restraints
5.2.2.1 Rising Security Concerns Related to Cloud-Based Image Processing and Analytics
5.2.2.2 Lack of Awareness and Technical Knowledge
5.2.3 Opportunities
5.2.3.1 Development of Machine Learning Regarding Vision Technology
5.2.3.2 Increased Computing Capacity of AI Based GPUs
5.2.4 Challenges
5.2.4.1 Premium Pricing of AI Hardware
6 AI in Computer Vision Market, By Component (Page No. - 43)
6.1 Introduction
6.2 Hardware
6.2.1 Processors
6.2.1.1 CPU
6.2.1.2 GPU
6.2.1.3 FPGA
6.2.1.4 ASIC
6.2.1.5 VPU
6.2.2 Memory
6.2.3 Network
6.3 Software
6.3.1 AI Platform
6.3.2 AI Solution
7 AI in Computer Vision Market, By Vertical (Page No. - 57)
7.1 Introduction
7.2 Automotive
7.2.1 ADAS and Infotainment
7.2.2 Autonomous and Semi-Autonomous Vehicles
7.3 Sports and Entertainment
7.3.1 Virtual Reality/Augmented Reality
7.3.2 Ball Tracking and Player Tracking
7.3.3 Commercial Insertion
7.4 Consumer
7.4.1 Gaming
7.4.2 Cameras
7.4.3 Wearables
7.4.4 Smart Phones
7.5 Robotics and Machine Vision
7.5.1 Quality Assurance & Inspection
7.5.2 Positioning and Guidance
7.5.3 Others
7.6 Healthcare
7.6.1 Radiology
7.6.2 Medical Adherence
7.7 Security and Surveillance
7.7.1 Biometrics
7.7.2 Image and Video Analytics
7.7.3 AI-Guided Drone-Based Surveillance
7.8 Agriculture
7.8.1 Crop Monitoring
7.8.2 Automated Irrigation System
7.9 Others
8 Geographic Analysis (Page No. - 82)
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 UK
8.3.2 Germany
8.3.3 France
8.3.4 Italy
8.3.5 Rest of Europe
8.4 APAC
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 South Korea
8.4.5 Rest of APAC
8.5 RoW
8.5.1 Middle East & Africa
8.5.2 South America
9 Competitive Landscape (Page No. - 116)
9.1 Introduction
9.2 Market Ranking Analysis: AI in Computer Vision Market
9.3 Competitive Situations and Trends
9.3.1 Product/Solution Launches, (20162017)
9.3.2 Partnerships/Collaborations, (20162017)
9.3.3 Acquisitions, (2017)
10 Company Profiles (Page No. - 120)
(Business Overview, Products & Solutions Offered, Recent Developments, SWOT Analysis, and MnM View)*
10.1 Key Players
10.1.1 Nvidia
10.1.2 Intel
10.1.3 Alphabet
10.1.4 Qualcomm
10.1.5 Apple
10.1.6 Microsoft
10.1.7 Facebook
10.1.8 Xilinx
10.1.9 Basler
10.1.10 Teledyne Technologies
10.1.11 Wikitude
10.1.12 MAXST
10.1.13 Cognex
10.1.14 General Electric
10.1.15 Avigilon
10.2 Other Key Player
10.2.1 Omron
10.2.2 Irida Labs
10.2.3 Sony
10.2.4 Perceptron
10.2.5 Allied Vision Technologies
10.2.6 Berkeley Design
10.3 Key Innovators
10.3.1 Leap Motion
10.3.2 Algolux
10.3.3 Clarifai
10.3.4 Ditto Labs
10.3.5 Mad Street Den
*Details on Business Overview, Products & Solutions Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
11 Appendix (Page No. - 163)
11.1 Insights From Industry Experts
11.2 Discussion Guide
11.3 Knowledge Store: Marketsandmarkets Subscription Portal
11.4 Introducing RT: Real-Time Market Intelligence
11.5 Available Customizations
11.6 Related Reports
11.7 Author Details
List of Tables (103 Tables)
Table 1 AI in Computer Vision Market, By Component, 20152023 (USD Million)
Table 2 Market, By Hardware, 20152023 (USD Million)
Table 3 Market for Hardware, By Region, 20152023 (USD Million)
Table 4 Market, By Processor Type, 20152023 (USD Million)
Table 5 Market for Processors, By Region, 20152023 (USD Million)
Table 6 Market, for Device-Side Processors, By Region, 20152023 (USD Million)
Table 7 Market, for Server-Side Processors, By Region, 20152023 (USD Million)
Table 8 Market for CPU, By Region, 20152023 (USD Million)
Table 9 Market for GPU, By Region, 20152023 (USD Million)
Table 10 Market for FPGA, By Region, 20152023 (USD Million)
Table 11 Market for ASIC, By Region, 20152023 (USD Million)
Table 12 Market for VPU, By Region, 20152023 (USD Million)
Table 13 Market for Memory, By Region, 20152023 (USD Million)
Table 14 Market for Network, By Region, 20152023 (USD Million)
Table 15 Market, By Software, 20152023 (USD Million)
Table 16 Market for Software, By Region 20152023 (USD Million)
Table 17 Market for AI Platform, By Region 20152023 (USD Million)
Table 18 Market for AI Solution, By Region 20152023 (USD Million)
Table 19 Market, By Vertical, 20152023 (USD Million)
Table 20 Market for Automotive, By Application, 20152023 (USD Million)
Table 21 Market for Automotive, By Region, 20152023 (USD Million)
Table 22 Market for ADAS and Infotainment, By Region, 20152023 (USD Million)
Table 23 Market for Autonomous and Semi Autonomous Vehicles, By Region, 20152023 (USD Million)
Table 24 Market for Sports and Entertainment, By Application, 20152023 (USD Million)
Table 25 Market for Sports and Entertainment, By Region, 20152023 (USD Million)
Table 26 Market for AR/VR, By Region, 20152023 (USD Million)
Table 27 Market for Ball and Player Tracking, By Region, 20152023 (USD Million)
Table 28 Market for Commercial Insertion, By Region, 20152023 (USD Million)
Table 29 Market for Consumer, By Application, 20152023 (USD Million)
Table 30 Market for Consumer, By Region, 20152023 (USD Million)
Table 31 Market for Gaming, By Region, 20152023 (USD Million)
Table 32 Market for Cameras, By Region, 20152023 (USD Million)
Table 33 Market for Wearables, By Region, 20152023 (USD Million)
Table 34 AI in Computer Vision Market for Smart Phones, By Region, 20152023 (USD Million)
Table 35 Market for Robotics and Machine Vision, By Application, 20152023 (USD Million)
Table 36 Market for Robotics and Machine Vision, By Region, 20152023 (USD Million)
Table 37 Market for Quality Assurance & Inspection, By Region, 20152023 (USD Million)
Table 38 Market for Positioning and Guidance, By Region, 20152023 (USD Million)
Table 39 Market for Others, By Region, 20152023 (USD Million)
Table 40 Market for Healthcare, By Application, 20152023 (USD Million)
Table 41 Market for Healthcare, By Region, 20152023 (USD Million)
Table 42 Market for Radiology, By Region, 20152023 (USD Million)
Table 43 Market for Medical Adherence, By Region, 20152023 (USD Million)
Table 44 Market for Security and Surveillance, By Application, 20152023 (USD Million)
Table 45 Market for Security and Surveillance, By Region, 20152023 (USD Million)
Table 46 Market for Biometrics, By Region, 20152023 (USD Million)
Table 47 Market for Image and Video Analytics, By Region, 20152023 (USD Million)
Table 48 Market for AI- Guided Drone- Based Surveillance, By Application, 20152023 (USD Million)
Table 49 Market for Agriculture, By Region, 20152023 (USD Million)
Table 50 Market for Others, By Region, 20152023 (USD Million)
Table 51 Market, By Region, 20152023 (USD Million)
Table 52 Market in North America, By Component, 20152023 (USD Million)
Table 53 Market in North America, By Hardware, 20152023 (USD Million)
Table 54 Market in North America, By Processor, 20152023 (USD Million)
Table 55 Market in North America, By Software, 20152023 (USD Million)
Table 56 Market in North America, By Processor Type, 20152023 (USD Million)
Table 57 Market in North America, By Vertical, 20152023 (USD Million)
Table 58 Market for Automotive in North America, By Application, 20152023 (USD Million)
Table 59 Market for Sports and Entertainment in North America, By Application, 20152023 (USD Million)
Table 60 Market for Consumer in North America, By Application, 20152023 (USD Million)
Table 61 Market for Robotics and Machine Vision in North America, By Application, 20152023 (USD Million)
Table 62 Market for Healthcare in North America, By Application, 20152023 (USD Million)
Table 63 Market for Security and Surveillance in North America, By Application, 20152023 (USD Million)
Table 64 Market in North America, By Country, 20152023 (USD Million)
Table 65 Market in Europe, By Component, 20152023 (USD Million)
Table 66 Market in Europe, By Hardware, 20152023 (USD Million)
Table 67 AI in Computer Vision Market in Europe, By Processor, 20152023 (USD Million)
Table 68 Market in Europe, By Software, 20152023 (USD Million)
Table 69 Market in Europe, By Processor Type, 20152023 (USD Million)
Table 70 Market in Europe, By Vertical, 20152023 (USD Million)
Table 71 Market for Automotive in Europe, By Application, 20152023 (USD Million)
Table 72 Market for Sports and Entertainment in Europe, By Application, 20152023 (USD Million)
Table 73 Market for Consumer in Europe, By Application, 20152023 (USD Million)
Table 74 Market for Robotics and Machine Vision in Europe, By Application, 20152023 (USD Million)
Table 75 Market for Healthcare in Europe, By Application, 20152023 (USD Million)
Table 76 Market for Security and Surveillance in Europe, By Application, 20152023 (USD Million)
Table 77 Market in Europe, By Country, 20152023 (USD Million)
Table 78 Market in APAC, By Hardware, 20152023 (USD Million)
Table 79 Market in APAC, By Processor, 20152023 (USD Million)
Table 80 Market in APAC, By Software, 20152023 (USD Million)
Table 81 Market in APAC, By Processor Type, 20152023 (USD Million)
Table 82 Market in APAC, By Vertical, 20152023 (USD Million)
Table 83 Market for Automotive in APAC, By Application, 20152023 (USD Million)
Table 84 Market for Sports and Entertainment in APAC, By Application, 20152023 (USD Million)
Table 85 Market for Consumer in APAC, By Application, 20152023 (USD Million)
Table 86 Market for Robotics and Machine Vision in APAC, By Application, 20152023 (USD Million)
Table 87 Market for Healthcare in APAC, By Application, 20152023 (USD Million)
Table 88 Market for Security and Surveillance in APAC, By Application, 20152023 (USD Million)
Table 89 Market in APAC, By Country, 20152023 (USD Million)
Table 90 Market in RoW, By Component, 20152023 (USD Million)
Table 91 Market in RoW, By Hardware, 20152023 (USD Million)
Table 92 Market in RoW, By Processor, 20152023 (USD Million)
Table 93 Market in RoW, By Software, 20152023 (USD Million)
Table 94 AI in Computer Vision Market in RoW, By Processor Type, 20152023 (USD Million)
Table 95 Market in RoW, By Vertical, 20152023 (USD Million)
Table 96 Market for Automotive in RoW, By Application, 20152023 (USD Million)
Table 97 Market for Sports and Entertainment in RoW, By Application, 20152023 (USD Million)
Table 98 Market for Consumer in RoW, By Application, 20152023 (USD Million)
Table 99 Market for Robotics and Machine Vision in RoW, By Application, 20152023 (USD Million)
Table 100 Market for Robotics and Machine Vision in RoW, By Application, 20152023 (USD Million)
Table 101 Market for Security and Surveillance in RoW, By Application, 20152023 (USD Million)
Table 102 Market in RoW, By Region, 20152023 (USD Million)
Table 103 Ranking of the Top 5 Players in AI in Computer Vision Market, (2017)
List of Figures (55 Figures)
Figure 1 Segmentation of the AI in Computer Vision Market
Figure 2 Research Design
Figure 3 Process Flow of Market Size Estimation
Figure 4 Data Triangulation
Figure 5 Consumer Vertical Expected to Hold the Largest Market Size During the Forecast Period
Figure 6 Market for Memory Expected to Grow at A Higher CAGR Between 2018 and 2023
Figure 7 Market for GPU in APAC is Expected to Grow at the Highest CAGR Between 2018 and 2023
Figure 8 Market for AR/VR in APAC is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 9 Market in APAC Expected to Grow at the Highest CAGR Between 2018 and 2023
Figure 10 Attractive Market Opportunities in the Market
Figure 11 AI in Computer Vision Market for Hardware is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 12 Market in India Expected to Exhibit the Highest CAGR During the Forecast Period
Figure 13 Robotics and Machine Vision Vertical to Hold the Largest Share of the Market in APAC in 2018
Figure 14 APAC Estimated to Grow at the Highest CAGR Between 2018 and 2023
Figure 15 Market Dynamics: AI in Computer Vision Market
Figure 16 Investments in Augmented Reality Across Various Applications Between 2017 and 2020
Figure 17 Reduction in Error Rates Using Computer Vision AI in Healthcare
Figure 18 Computing Cost and Memory Comparison of A GPU
Figure 19 Market, By Component
Figure 20 AI in Computer Vision Market: By Hardware
Figure 21 APAC Expected to Grow at the Highest CAGR for CPU During the Forecast Period
Figure 22 North America Expected to Lead AI in Computer Vision Market for Memory During the Forecast Period
Figure 23 AI in Computer Vision Market: By Software
Figure 24 APAC Expected to Grow at the Highest CAGR for AI Solution During the Forecast Period
Figure 25 Market: By Vertical
Figure 26 North America Expected to Lead in Autonomous and Semi Autonomous Vehicles During Forecast Period
Figure 27 Market for Ball and Player Tracking in APAC Expected to Grow at Highest CAGR During Forecast Period
Figure 28 APAC Expected to Lead in Cameras During Forecast Period
Figure 29 Market for Quality Assurance & Inspection in Robotics and Machine Vision Expected to Grow at A Higher CAGR During Forecast Period
Figure 30 Market for Radiology Expected to Hold Largest Market Size During Forecast Period
Figure 31 Market for Biometrics in APAC Expected to Grow at the Highest CAGR During Forecast Period
Figure 32 Market Segmentation, By Geography
Figure 33 Geographic Snapshot: AI in Computer Vision Market in APAC Expected to Grow at the Highest CAGR During the Forecast Period
Figure 34 Market in India Estimated to Grow at the Highest CAGR Between 2018 and 2023
Figure 35 North America Segmentation, By Country
Figure 36 North America: AI in Computer Vision Market Snapshot
Figure 37 Europe Segmentation, By Country
Figure 38 Europe: AI in Computer Vision Market Snapshot
Figure 39 APAC Segmentation, By Country
Figure 40 APAC: AI in Computer Vision Market Snapshot
Figure 41 RoW Segmentation, By Region
Figure 42 Key Growth Strategies Adopted By Top Companies, 20152017
Figure 43 Nvidia: Company Snapshot
Figure 44 Intel: Company Snapshot
Figure 45 Alphabet: Company Snapshot
Figure 46 Qualcomm: Company Snapshot
Figure 47 Apple: Company Snapshot
Figure 48 Microsoft: Company Snapshot
Figure 49 Facebook: Company Snapshot
Figure 50 Xilinx: Company Snapshot
Figure 51 Basler: Company Snapshot
Figure 52 Teledyne Technologies: Company Snapshot
Figure 53 Cognex: Company Snapshot
Figure 54 General Electric: Company Snapshot
Figure 55 Avigilon: Company Snapshot
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