Global Image Segmentation Market Growth (Status and Outlook) 2024-2030
Image segmentation is a computer vision technique that partitions a digital image into discrete groups of pixels—image segments—to inform object detection and related tasks. By parsing an image’s complex visual data into specifically shaped segments, image segmentation enables faster, more advanced image processing. Image segmentation techniques range from simple, intuitive heuristic analysis to the cutting edge implementation of deep learning. Conventional image segmentation algorithms process high-level visual features of each pixel, like color or brightness, to identify object boundaries and background regions. Machine learning, leveraging annotated datasets, is used to train models to accurately classify the specific types of objects and regions an image contains. Being a highly versatile and practical method of computer vision, image segmentation has a wide variety of artificial intelligence use cases, from aiding diagnosis in medical imaging to automating locomotion for robotics and self-driving cars to identifying objects of interest in satellite images.
The global Image Segmentation market size is projected to grow from US$ million in 2024 to US$ million in 2030; it is expected to grow at a CAGR of %from 2024 to 2030.
LPI (LP Information)' newest research report, the “Image Segmentation Industry Forecast” looks at past sales and reviews total world Image Segmentation sales in 2022, providing a comprehensive analysis by region and market sector of projected Image Segmentation sales for 2023 through 2029. With Image Segmentation sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Image Segmentation industry.
This Insight Report provides a comprehensive analysis of the global Image Segmentation landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Image Segmentation portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Image Segmentation market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Image Segmentation and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Image Segmentation.
United States market for Image Segmentation is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Image Segmentation is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Image Segmentation is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Image Segmentation players cover IBM, Google, Microsoft, AWS, NVIDIA, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Image Segmentation market by product type, application, key players and key regions and countries.
Segmentation by Type:
Semantic Segmentation
Instance Segmentation
Panoptic Segmentation
Segmentation by Application:
Medical Imaging
Autonomous Vehicles
Satellite Imaging
Smart Cities
Manufacturing
Agriculture
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Semantic Segmentation
Instance Segmentation
Panoptic Segmentation
Segmentation by Application:
Medical Imaging
Autonomous Vehicles
Satellite Imaging
Smart Cities
Manufacturing
Agriculture
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Google
Microsoft
AWS
NVIDIA
Intel
Meta
YouTube
Apple
Baidu
Alibaba
Huawei
Tencent
SenseTime
Hikvision
Please note: The report will take approximately 2 business days to prepare and deliver.