This Deep Learning Market report has been prepared by considering several fragments of the present and upcoming market scenario. The market insights gained through this market research analysis report facilitates more clear understanding of the market landscape, issues that may interrupt in the future, and ways to position definite brand excellently. It consists of most-detailed market segmentation, thorough analysis of major market players, trends in consumer and supply chain dynamics, and insights about new geographical markets. The market insights covered in Magnet report simplifies managing marketing of goods and services effectively.
Global Deep Learning Market was valued at USD 2.99 billion in 2021 and is expected to reach USD 68.70 billion by 2029, registering a CAGR of 34.50% during the forecast period of 2022-2029.
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Market Overview:
Deep learning refers to a subfield of machine learning that incorporates a series of algorithms and computer instructions that are generally inspired by the structure and function of the brain. This technology could also be called a machine learning technique that assists computers to learn by example.
Some of the major players operating in the Deep Learning Market are Baumer Optronic GmbH (Germany), JAI A/S (Denmark), MVTec Software GmbH (Germany), Tordivel AS (Norway), ISRA VISION (Germany), FLIR Systems, Inc. (US), AMETEK.Inc (US), Qualitas Technologies Pvt Ltd (India), SUALAB (South Korea), Cadence Design Systems, Inc. (US), CEVA, Inc. (US), Inuitive (US), Cognex Corporation (US), Basler AG (Germany), Omron Corporation (Japan), Keyence Corporation (Japan), National Instruments (US), Sony Corporation (Japan), Teledyne Technologies, Inc. (US), Allied Vision Technologies GmbH (Germany), and Texas Instruments Inc. (US), among others.
Global Deep Learning Market Scope
The deep learning market is segmented on the basis of hardware, software, services, application and end user. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Hardware
· Processor
o GPU
o FPGA
o CPU
o Others
· Memory
· Network
Software
· Solution
· Platform
· API
Services
· Installation
· Training
· Support and Maintenance
Application
· Signal Recognition
· Data Mining
· Image Recognition
· Other
End User
· Automotive
o Autonomous Driving
o Human–Machine Interface
o Semiautonomous Driving
· Law
· Agriculture
o Precision Farming
o Livestock Monitoring
o Drone Analytics
o Agricultural Robots
o Others
· Retail
Product Recommendation and Planning
· Customer Relationship Management
· Visual Search
· Virtual Assistant
· Price Optimization
· Payment Services Management
· Supply Chain Management
· Demand Planning
· Others
Marketing
· Security
· Identity and Access Management
· Risk and Compliance Management
· Encryption
· Data Loss Prevention
· Unified Threat Management
· Antivirus/Antimalware
· Intrusion Detection/Prevention Systems
· Others
· Healthcare
o Patient Data and Risk Analysis
o Lifestyle Management and Monitoring
o Precision Medicine
o Inpatient Care and Hospital Management
o Medical Imaging and Diagnostics
o Drug Discovery
o Virtual Assistant
o Wearables
o Research
· Manufacturing
o Material Movement
o Predictive Maintenance and Machinery Inspection
o Production Planning
o Field Services
o Reclamation
o Quality Control
· Finetech
· Human Resources
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Table of Content:
Part 01: Executive Summary
Part 02: Scope of the Report
Part 03: Global Deep Learning Market Landscape
Part 04: Global Deep Learning Market Sizing
Part 05: Global Deep Learning Market Segmentation By Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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