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Embedded AI Market by Offering (Hardware, Software, Services), Data Type (Numerical Data, Categorical Data, Image & Video Data), Vertical (Automotive, Manufacturing, Healthcare & Life Sciences, Telecom), and Region - Global Forecast to 2028

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from $4,950 319 Pages MarketsandMarkets June, 2023 MKMK18062135
Best Price Guarantee
Price from $4,950
Length 319 Pages
Publisher MarketsandMarkets
Published Date June, 2023
SKU MKMK18062135

Embedded AI Market by Offering (Hardware, Software, Services), Data Type (Numerical Data, Categorical Data, Image & Video Data), Vertical (Automotive, Manufacturing, Healthcare & Life Sciences, Telecom), and Region - Global Forecast to 2028



The Embedded AI market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period. The market is anticipated to grow due to the growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions.

By offering the hardware segment to hold the largest market size during the forecast period

The hardware segment of the embedded AI market is growing rapidly due to the increasing demand for AI-powered devices and applications. Embedded AI hardware plays a critical role in the market by providing the necessary computing power and specialized capabilities to support AI applications directly on embedded systems. Embedded AI hardware can be customized and integrated into specific embedded systems, ensuring seamless compatibility and efficient utilization of resources. This allows hardware vendors and system designers to tailor the AI hardware to meet the specific requirements of the target application, achieving optimal performance and functionality.

By vertical, the healthcare and life sciences segment to have the highest CAGR during the forecast period

Across the healthcare and life science sector, embedded AI is used in medical devices and equipment for diagnostics, patient monitoring, personalized medicine, and data analysis. AI algorithms embedded in medical devices help in the early detection of diseases, decision support for clinicians, and remote patient monitoring. Embedded AI adoption in the healthcare and life sciences industry has grown rapidly, driven by the potential to improve patient outcomes, enhance efficiency, and enable personalized medicine.

North America to witness fastest growing market size during the forecast period

North America is experiencing significant technological growth in the Embedded AI market, driven by various factors shaping the landscape of intelligent and connected devices. Embedded AI adoption in North America is gaining momentum across industries, driven by technological advancements, the rise of IoT, a supportive ecosystem, and increasing awareness of its benefits. The region is witnessing a proliferation of intelligent edge devices and innovative applications that leverage Embedded AI, contributing to the transformation of various

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the social media management market.

By Company: Tier I: 38%, Tier II: 50%, and Tier III: 12%

By Designation: C-Level Executives: 35%, D-Level Executives: 40%, and Managers: 25%

By Region: North America: 40%, Asia Pacific: 20%, Europe: 30%, and Middle East Africa:5% and Latin America- 5%

The report includes the study of key players offering embedded AI solutions. It profiles major vendors in the Embedded AI market. The major players in the Embedded AI market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).

Research coverage

The research study for the Embedded AI market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred embedded AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall Embedded AI market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Growing demand for intelligent and autonomous systems for a personalized experience, increasing advancements in AI and ML technologies for better and smart decisions, the proliferation of connected devices and IoT ecosystem for effective communications, rising usage of embedded AI for industry-specific applications), restraints (Concerns related to data privacy and security, shortage of skilled and talented workforce), opportunities (Rise in demand for more powerful and energy-efficient processors to effectively handle complex AI algorithms, integration with cloud-based AI services for better scalability), and challenges (Inadequate computational resources and model optimization, high infrastructure costs with lower ROI).

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the Embedded AI market

Market Development: Comprehensive information about lucrative markets – the report analyses the Embedded AI market across varied regions

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Embedded AI market

Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), among others in the Embedded AI market strategies. The report also helps stakeholders understand the pulse of the Embedded AI market and provides them with information on key market drivers, restraints, challenges, and opportunities.


1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions And Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
1.5 Stakeholders
2 Research Methodology
2.1 Research Data
Figure 1 Embedded Ai Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 List Of Key Primary Interview Participants
2.1.2.2 Breakdown Of Primary Profiles
Figure 2 Breakdown Of Primary Interviews: By Company Type, Designation, And Region
2.1.2.3 Key Insights From Industry Experts
2.2 Data Triangulation And Market Breakup
Figure 3 Data Triangulation
2.3 Market Size Estimation
Figure 4 Embedded Ai Market: Top-down And Bottom-up Approaches
2.3.1 Top-down Approach
2.3.2 Bottom-up Approach
Figure 5 Market Size Estimation Methodology - Approach 1 (Supply-side): Revenue From Solutions/Services Of Embedded Ai Market
Figure 6 Market Size Estimation Methodology-approach 2, Bottom-up (Supply-side): Collective Revenue From All Solutions/Services Of Embedded Ai Market
Figure 7 Market Size Estimation Methodology-approach 3, Bottom-up (Supply-side): Collective Revenue From All Solutions/Services Of Embedded Ai Market
Figure 8 Market Size Estimation Methodology-approach 4, Bottom-up (Demand-side): Share Of Embedded Ai Through Overall Embedded Ai Spending
2.4 Market Forecast
Table 1 Factor Analysis
2.5 Assumptions
Table 2 Assumptions
2.6 Limitations
2.7 Recession Impact Analysis
Table 3 Impact Of Recession On Global Embedded Ai Market
3 Executive Summary
Table 4 Global Embedded Ai Market Size And Growth Rate, 2017–2022 (Usd Million, Y-o-y %)
Table 5 Global Embedded Ai Market Size And Growth Rate, 2023–2028 (Usd Million, Y-o-y %)
Figure 9 Hardware Segment To Dominate Market In 2023
Figure 10 Edge Computing Platforms Segment To Hold Largest Market Share In 2023
Figure 11 Processors Segment To Hold Largest Market Size In 2023
Figure 12 System Integration & Implementation Segment To Hold Largest Market Share In 2023
Figure 13 Numeric Data Segment To Hold Largest Market Size In 2023
Figure 14 Healthcare & Life Sciences Segment To Grow At Highest Cagr During Forecast Period
Figure 15 North America To Hold Largest Market Share And Asia Pacific To Grow At Highest Cagr During Forecast Period
4 Premium Insights
4.1 Attractive Opportunities For Players In Embedded Ai Market
Figure 16 Proliferation Of Connected Devices And Iot Ecosystem For Effective Communications To Drive Market Growth
4.2 Overview Of Recession In Global Embedded Ai Market
Figure 17 Embedded Ai Market To Witness Minor Decline In Y-o-y Growth In 2023
4.3 Embedded Ai Market: Top Three Data Types
Figure 18 Numeric Data Segment To Grow At Highest Cagr During Forecast Period
4.4 North America: Embedded Ai Market, By Offering And Top Three Verticals
Figure 19 Hardware Segment And Automotive Segment To Hold Largest Market Shares In North America In 2023
4.5 Embedded Ai Market: By Region
Figure 20 North America To Hold Largest Market Share In 2023
5 Market Overview And Industry Trends
5.1 Introduction
5.2 Market Dynamics
Figure 21 Drivers, Restraints, Opportunities, And Challenges: Embedded Ai Market
5.2.1 Drivers
5.2.1.1 Growing Demand For Intelligent And Autonomous Systems
5.2.1.2 Increasing Advancements In Ai And Ml Technologies For Better And Smart Decisions
5.2.1.3 Proliferation Of Connected Devices And Iot Ecosystem For Effective Communications
5.2.1.4 Rising Use Of Embedded Ai For Industry-specific Applications
5.2.2 Restraints
5.2.2.1 Data Privacy And Security Concerns
5.2.2.2 Shortage Of Skilled And Talented Workforce
5.2.3 Opportunities
5.2.3.1 Rising Demand For More Powerful And Energy-efficient Processors
5.2.3.2 Integration With Cloud-based Ai Services For Better Scalability
5.2.4 Challenges
5.2.4.1 Inadequate Computational Resources And Model Optimization
5.2.4.2 High Infrastructure Costs With Lower Roi
5.3 Case Study Analysis
5.3.1 Case Study 1: Edge Impulse Helped Oura Ring Provide Enhanced Analysis Of Sleep Patterns And User Readiness
5.3.2 Case Study 2: Nvidia Jetson Tx2 Nx Offered Accurate Fall Detection By Deploying Novi Smart Lamp
5.3.3 Case Study 3: Rolloos Actively Monitored Red Zones In Real Time By Deploying Nvidia's Acceleration Toolkits
5.3.4 Case Study 4: Mercedes-benz Consulting Optimized Dealership Layout Using Modcam Store Analytics
5.3.5 Case Study 5: Tvgh Achieved Real-time Ai Inference By Utilizing Aetina Edge Ai Starter Package
5.4 Tariff And Regulatory Landscape
5.4.1 Regulatory Bodies, Government Agencies, And Other Organizations
5.4.2 North America
Table 6 North America: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.4.3 Europe
Table 7 Europe: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.4.4 Asia Pacific
Table 8 Asia Pacific: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.4.5 Middle East & Africa
Table 9 Middle East & Africa: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.4.6 Latin America
Table 10 Latin America: List Of Regulatory Bodies, Government Agencies, And Other Organizations
5.5 Ecosystem
Figure 22 Embedded Ai Market: Ecosystem
5.6 Patent Analysis
5.6.1 Methodology
5.6.2 Patents Filed, By Document Type, 2013–2023
Table 11 Patents Filed, 2013–2023
5.6.3 Innovation And Patent Applications
Figure 23 Total Number Of Patents Granted, 2013–2023
5.6.3.1 Top Applicants
Figure 24 Top Ten Companies With Highest Number Of Patent Applications In Last Ten Years, 2013–2023
Table 12 Top Twenty Patent Owners In Embedded Ai Market, 2013–2023
Table 13 List Of Patents In Embedded Ai Market, 2023
Figure 25 Regional Analysis Of Patents Granted For Embedded Ai Market, 2023
5.7 Supply Chain Analysis
Figure 26 Embedded Ai Market: Supply Chain Analysis
Table 14 Embedded Ai Market: Supply Chain Analysis
5.8 Future Directions Of Embedded Ai Market Landscape
5.8.1 Technology Roadmap For Embedded Ai Market Until 2030
Figure 27 Embedded Ai Roadmap Until 2030
5.9 Pricing Analysis
Table 15 Average Selling Price Analysis, By Offering
5.10 Key Components Of Embedded Ai Architecture
Figure 28 Embedded Ai Architecture
5.10.1 Model Module
5.10.2 Data Module
5.10.3 Computing Power Module
5.11 Brief History Of Embedded Ai/Evolution
Figure 29 Embedded Ai Market Evolution
5.12 Trends And Disruptions Impacting Buyers/Clients’ Businesses
Figure 30 Embedded Ai Market: Trends And Disruptions Impacting Buyers/Clients’ Businesses
5.13 Porter’s Five Forces Analysis
Figure 31 Embedded Ai Market: Porter’s Five Forces Analysis
5.13.1 Threat Of New Entrants
5.13.2 Threat Of Substitutes
5.13.3 Bargaining Power Of Suppliers
5.13.4 Bargaining Power Of Buyers
5.13.5 Intensity Of Competitive Rivalry
5.14 Key Conferences And Events, 2023–2024
Table 16 Embedded Ai Market: Detailed List Of Conferences And Events, 2023–2024
5.15 Key Stakeholders And Buying Criteria
5.15.1 Key Stakeholders In Buying Process
Figure 32 Influence Of Stakeholders On Buying Process For Top Three Applications
Table 17 Influence Of Stakeholders On Buying Process For Top Three Applications
5.15.2 Buying Criteria
Figure 33 Key Buying Criteria For Top Three Applications
Table 18 Key Buying Criteria For Top Three Applications
5.16 Technology Analysis
5.16.1 Key Technology
5.16.1.1 Ml And Deep Learning
5.16.1.2 Data Science
5.16.1.3 Edge Computing
5.16.1.4 Iot
5.16.1.5 Computer Vision
5.16.1.6 Neural Networks
5.16.1.7 Tensorflow Lite
5.16.2 Adjacent Technology
5.16.2.1 Signal Processing
5.16.2.2 Data Mining And Predictive Analysis
5.16.2.3 Blockchain
5.16.2.4 5g
5.17 Impact Of Embedded Ai On Business Modernization
5.17.1 Business Process And Task Automation
5.17.2 Advanced Predictive Analytics
5.17.3 Intelligent Decision-making
5.17.4 Streamlined Customer Experience
5.18 Business Model Analysis
Figure 34 Embedded Ai Market: Business Models
5.18.1 Business Models For Hardware Vendors
5.18.2 Business Models For Software Providers
5.18.3 Business Models For Service Providers
6 Embedded Ai Market, By Offering
6.1 Introduction
6.1.1 Offering: Embedded Ai Market Drivers
Figure 35 Software Segment To Register Highest Cagr During Forecast Period
Table 19 Embedded Ai Market, By Offering, 2017–2022 (Usd Million)
Table 20 Embedded Ai Market, By Offering, 2023–2028 (Usd Million)
6.2 Hardware
Figure 36 Ai Accelerators Segment To Grow At Highest Cagr During Forecast Period
Table 21 Embedded Ai Market, By Hardware, 2017–2022 (Usd Million)
Table 22 Embedded Ai Market, By Hardware, 2023–2028 (Usd Million)
6.2.1 Processors
Table 23 Processors: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 24 Processors: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.2.1.1 Gpus
6.2.1.1.1 Exceptional Computational Power And Parallel Processing Capabilities To Propel Demand For Gpus
6.2.1.2 Fpgas
6.2.1.2.1 Need For Flexibility To Effortlessly Program And Reconfigure To Drive Demand For Fpgas
6.2.1.3 Npus
6.2.1.3.1 Need For Optimized Architectures And Parallel Processing To Provide Exceptional Performance Per Watt To Boost Demand For Npus
6.2.1.4 Other Processors
6.2.2 Memory Units
Table 25 Memory Units: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 26 Memory Units: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.2.2.1 Random Access Memory (Ram)
6.2.2.1.1 Need For Faster Data Access And Quick Analysis And Response Within Device To Drive Demand For Ram
6.2.2.2 Flash Memory
6.2.2.2.1 Need To Process Data Locally, Reduce Constant Connectivity, And Enable Real-time Decision-making To Boost Demand For Flash Memory
6.2.2.3 Rom
6.2.2.3.1 Need To Preserve Authenticity Of Critical Software Components And Cost-effective Storage Solution To Drive Demand For Rom
6.2.2.4 Other Memory Units
6.2.3 Ai Accelerators
Table 27 Ai Accelerators: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 28 Ai Accelerators: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.2.3.1 Tensor Processing Units (Tpus)
6.2.3.1.1 Tpus To Optimize Large-scale Neural Network Processing And Matrix Operations And Offer Faster Inference And Training Times
6.2.3.2 Neural Network Accelerators
6.2.3.2.1 Neural Network Accelerators To Perform Ai Tasks With Less Power By Transferring Computational Load From General-purpose Processors To Dedicated Ai Chips
6.2.4 Other Hardware
Table 29 Other Hardware: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 30 Other Hardware: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.3 Software
Figure 37 Ai Middleware Segment To Grow At Highest Cagr During Forecast Period
Table 31 Embedded Ai Market, By Software, 2017–2022 (Usd Million)
Table 32 Embedded Ai Market, By Software, 2023–2028 (Usd Million)
6.3.1 Ai Middleware
6.3.1.1 Ai Middleware To Offer Tools And Frameworks For Efficient Model Management And Inference At Edge
Table 33 Ai Middleware: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 34 Ai Middleware: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.3.2 Ai & Ml Frameworks
6.3.2.1 Need For Model Optimization And Integration Of Ai Frameworks With Edge Computing Architectures To Drive Market
Table 35 Ai & Ml Frameworks: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 36 Ai & Ml Frameworks: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.3.3 Edge Computing Platforms
6.3.3.1 Edge Computing Platforms To Support Edge Ai Applications, Simplify Data Processing And Analytics, And Seamlessly Integrate With Edge Devices
Table 37 Edge Computing Platforms: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 38 Edge Computing Platforms: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.3.4 Other Software
Table 39 Other Software: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 40 Other Software: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.4 Services
Figure 38 Training & Consulting Services Segment To Register Highest Cagr During Forecast Period
Table 41 Services: Embedded Ai Market, By Type, 2017–2022 (Usd Million)
Table 42 Services: Embedded Ai Market, By Type, 2023–2028 (Usd Million)
6.4.1 Training & Consulting
6.4.1.1 Training & Consulting Services To Play Vital Role In Managing Operations And Technological Updates
Table 43 Training & Consulting: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 44 Training & Consulting: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.4.2 System Integration & Implementation
6.4.2.1 System Integration & Implementation Services To Gain Traction To Ensure Effective System Communication
Table 45 System Integration & Implementation: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 46 System Integration & Implementation: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
6.4.3 Support & Maintenance
6.4.3.1 Rising Demand For Support & Maintenance Services To Ensure Optimal Performance
Table 47 Support & Maintenance: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 48 Support & Maintenance: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
7 Embedded Ai Market, By Data Type
7.1 Introduction
7.1.1 Data Type: Embedded Ai Market Drivers
Figure 39 Numeric Data Segment To Register Highest Cagr During Forecast Period
Table 49 Embedded Ai Market, By Data Type, 2017–2022 (Usd Million)
Table 50 Embedded Ai Market, By Data Type, 2023–2028 (Usd Million)
7.2 Sensor Data
7.2.1 Combination Of Embedded Ai And Edge Ai To Fuel Growth Of Sensor Data
Table 51 Sensor Data: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 52 Sensor Data: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
7.3 Image & Video Data
7.3.1 Increasing Availability And Affordability Of Cameras And Consumption Of Visual Content To Drive Market
Table 53 Image & Video Data: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 54 Image & Video Data: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
7.4 Numeric Data
7.4.1 Proliferation Of Sensors And Connected Devices To Drive Demand For Numeric Data
Table 55 Numeric Data: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 56 Numeric Data: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
7.5 Categorical Data
7.5.1 Need To Detect And Classify Objects, Recognize Gestures, And Identify Specific Patterns To Drive Market
Table 57 Categorical Data: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 58 Categorical Data: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
7.6 Other Data Types
Table 59 Other Data Types: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 60 Other Data Types: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8 Embedded Ai Market, By Vertical
8.1 Introduction
8.1.1 Vertical: Embedded Ai Market Drivers
Figure 40 Healthcare & Life Sciences Vertical To Witness Highest Growth Rate During Forecast Period
Table 61 Embedded Ai Market, By Vertical, 2017–2022 (Usd Million)
Table 62 Embedded Ai Market, By Vertical, 2023–2028 (Usd Million)
8.2 Banking, Financial Services, And Insurance
Table 63 Banking, Financial Services, And Insurance: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 64 Banking, Financial Services, And Insurance: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.2.1 Fraud Detection & Prevention
8.2.1.1 Need To Detect And Mitigate Fraudulent Activities And Safeguard Financial Institutions To Drive Market
8.2.2 Risk Management
8.2.2.1 Embedded Ai To Analyze Transactional Data In Real Time, Enabling Accurate Risk Identification And Fraud Prevention
8.2.3 Customer Service
8.2.3.1 Embedded Ai To Create Virtual Assistants Or Chatbots For Automated Customer Support
8.2.4 Compliance & Regulatory Reporting
8.2.4.1 Embedded Ai To Streamline Reporting Process, Reduce Human Error, And Ensure Accurate And Timely Submission Of Reports
8.2.5 Other Banking, Financial Services, And Insurance Types
8.3 It & Ites
Table 65 It & Ites: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 66 It & Ites: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.3.1 Intelligent Automation
8.3.1.1 Intelligent Automation To Provide Automated Responses By Utilizing Pre-defined Templates Or Accessing Knowledge Base
8.3.2 Cybersecurity
8.3.2.1 Incorporation Of Embedded Ai Into Cybersecurity Measures To Help It Companies Detect And Respond To Cyber Threats Effectively
8.3.3 Customer Service
8.3.3.1 Embedded Ai To Analyze Customer Sentiment By Assessing Tone And Context Of Customer Interactions
8.3.4 Predictive Analytics
8.3.4.1 Need To Monitor And Analyze Data Points And Raise Alerts And Notifications To Drive Demand For Embedded Ai In Proactive Analytics
8.3.5 Supply Chain Management
8.3.5.1 Need To Manage Inventory, Reduce Excess Stock, And Ensure Timely Replenishment To Drive Demand For Embedded Ai In Supply Chain Management
8.4 Retail & Ecommerce
Table 67 Retail & Ecommerce: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 68 Retail & Ecommerce: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.4.1 Personalized Recommendations
8.4.1.1 Utilization Of Embedded Ai In Personalized Recommendations To Improve Customer Experience And Drive Sales
8.4.2 Inventory Management
8.4.2.1 Embedded Ai To Automate Tasks And Provide Intelligent Insights In Inventory Management
8.4.3 Pricing Optimization
8.4.3.1 Embedded Ai To Automate Pricing Optimization Process And Predict Customer Demand And Price Elasticity Accurately
8.4.4 Fraud Detection & Prevention
8.4.4.1 Embedded Ai To Detect Fraud In Real Time And Provide Comprehensive View Of Customer Activities
8.4.5 Other Retail & Ecommerce Types
8.5 Manufacturing
Table 69 Manufacturing: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 70 Manufacturing: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.5.1 Predictive Maintenance
8.5.1.1 Embedded Ai To Aid In Predictive Maintenance By Analyzing Data And Enabling Proactive And Timely Maintenance Actions
8.5.2 Waste Management
8.5.2.1 Embedded Ai To Help Avoid Unplanned Downtime And Prevent Waste Generated By Faulty Machinery
8.5.3 Automation & Robotics
8.5.3.1 Embedded Ai To Aid Robots In Analyzing Data, Making Decisions, Executing Tasks Faster, And Reducing Human Error
8.5.4 Quality Control & Inspection
8.5.4.1 Ai Technology To Enhance Quality Control And Inspection Processes
8.5.5 Product Design & Optimization
8.5.5.1 Embedded Ai To Provide Intelligent Insights And Optimize Product Designs Before Creating Physical Prototypes
8.5.6 Other Manufacturing Types
8.6 Energy & Utilities
Table 71 Energy & Utilities: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 72 Energy & Utilities: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.6.1 Energy Management
8.6.1.1 Embedded Ai To Monitor, Analyze, And Control Energy Use In Real Time And Help Prevent Grid Strain And Power Outages
8.6.2 Predictive Maintenance
8.6.2.1 Leveraging Ai Algorithms In Predictive Maintenance To Help Determine Optimal Time For Maintenance Activities
8.6.3 Renewal Energy Optimization
8.6.3.1 Embedded Ai To Analyze Historical Data, Weather Patterns, And Other Relevant Factors To Forecast Energy Demand Accurately
8.6.4 Other Energy & Utilities Types
8.7 Transportation & Logistics
Table 73 Transportation & Logistics: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 74 Transportation & Logistics: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.7.1 Route Optimization
8.7.1.1 Embedded Ai To Help Monitor Real-time Data And Minimize Travel Time And Fuel Consumption
8.7.2 Inventory Management
8.7.2.1 Need To Improve Operational Efficiency And Analyze Historical Data And Market Trends To Drive Demand For Embedded Ai In Inventory Management
8.7.3 Autonomous Vehicles
8.7.3.1 Embedded Ai To Optimize Routes, Make Real-time Adjustments, And Reduce Fuel Consumption
8.7.4 Freight Management
8.7.4.1 Embedded Ai To Facilitate Real-time Monitoring Of Freight Shipments And Improve Operational Efficiency
8.7.5 Other Transportation & Logistics Types
8.8 Healthcare & Life Sciences
Table 75 Healthcare & Life Sciences: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 76 Healthcare & Life Sciences: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.8.1 Medical Diagnosis
8.8.1.1 Embedded Ai To Analyze Vast Amounts Of Patient Data And Aid In Accurate Diagnosis And Treatment Planning
8.8.2 Drug Discovery
8.8.2.1 Embedded Ai To Accelerate And Optimize Drug Discovery And Analyze Vast Amounts Of Drugs To Identify Potential Drug Targets
8.8.3 Personalized Medicine
8.8.3.1 Embedded Ai To Interpret Genomic Data, Predict Disease Risk, And Provide Personalized Diagnostic Recommendations
8.8.4 Remote Patient Monitoring
8.8.4.1 Rpm Empowered By Embedded Ai To Monitor Patients' Health Conditions And Collect Real-time Data
8.8.5 Other Healthcare & Life Sciences Types
8.9 Media & Entertainment
Table 77 Media & Entertainment: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 78 Media & Entertainment: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.9.1 Content Creation
8.9.1.1 Embedded Ai To Transform Content Creation, Provide Innovative Tools, And Improve Quality, Efficiency, And Personalization Of Media Experiences
8.9.2 Content Analytics
8.9.2.1 Embedded Ai To Automate Content Analytics By Analyzing And Comprehending Extensive Volumes Of Media Content
8.9.3 Ar & Vr
8.9.3.1 Ar And Vr Technologies To Revolutionize Media & Entertainment Industry By Providing Enhanced User Experiences
8.9.4 Other Media & Entertainment Types
8.10 Telecom
Table 79 Telecom: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 80 Telecom: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.10.1 Network Optimization
8.10.1.1 Embedded Ai To Analyze Network Traffic Patterns In Real Time, Reduce Latency, And Improve Network Responsiveness
8.10.2 Network Security
8.10.2.1 Embedded Ai To Process And Understand Unstructured Data And Monitor Network Traffic And Identify Abnormal Patterns
8.10.3 Query Management
8.10.3.1 Telecom Providers To Leverage Ai Capabilities To Deliver Personalized, Efficient, And Proactive Customer Support
8.10.4 Fraud Detection & Prevention
8.10.4.1 Embedded Ai To Help Telecom Companies Proactively Update Fraud Prevention Strategies By Analyzing Vast Amounts Of Data
8.10.5 Other Telecom Types
8.11 Automotive
Table 81 Automotive: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 82 Automotive: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
8.11.1 Self Driving Cars
8.11.1.1 Embedded Ai Technology To Analyze Traffic Patterns, Road Rules, And Situational Factors
8.11.2 Fleet Management
8.11.2.1 Embedded Ai To Help In Tracking And Monitoring Vehicles In Real Time And Intelligent Decision-making
8.11.3 Energy Efficiency & Emissions Control
8.11.3.1 Embedded Ai To Optimize Power Distribution And Overall Energy Consumption And Improve Battery Utilization
8.11.4 Vehicle Infotainment
8.11.4.1 Embedded Ai Incorporated With Nlp To Enable Natural Language Commands And Provide Connected Services
8.11.5 Other Automotive Types
8.12 Other Verticals
Table 83 Other Verticals: Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 84 Other Verticals: Embedded Ai Market, By Region, 2023–2028 (Usd Million)
9 Embedded Ai Market, By Region
9.1 Introduction
Figure 41 Asia Pacific To Register Highest Cagr During Forecast Period
Figure 42 India To Register Highest Cagr During Forecast Period
Table 85 Embedded Ai Market, By Region, 2017–2022 (Usd Million)
Table 86 Embedded Ai Market, By Region, 2023–2028 (Usd Million)
9.2 North America
9.2.1 North America: Embedded Ai Market Drivers
9.2.2 North America: Recession Impact
Figure 43 North America: Market Snapshot
Table 87 North America: Embedded Ai Market, By Offering, 2017–2022 (Usd Million)
Table 88 North America: Embedded Ai Market, By Offering, 2023–2028 (Usd Million)
Table 89 North America: Embedded Ai Market, By Hardware, 2017–2022 (Usd Million)
Table 90 North America: Embedded Ai Market, By Hardware, 2023–2028 (Usd Million)
Table 91 North America: Embedded Ai Market, By Software, 2017–2022 (Usd Million)
Table 92 North America: Embedded Ai Market, By Software, 2023–2028 (Usd Million)
Table 93 North America: Embedded Ai Market, By Service, 2017–2022 (Usd Million)
Table 94 North America: Embedded Ai Market, By Service, 2023–2028 (Usd Million)
Table 95 North America: Embedded Ai Market, By Data Type, 2017–2022 (Usd Million)
Table 96 North America: Embedded Ai Market, By Data Type, 2023–2028 (Usd Million)
Table 97 North America: Embedded Ai Market, By Vertical, 2017–2022 (Usd Million)
Table 98 North America: Embedded Ai Market, By Vertical, 2023–2028 (Usd Million)
Table 99 North America: Embedded Ai Market, By Country, 2017–2022 (Usd Million)
Table 100 North America: Embedded Ai Market, By Country, 2023–2028 (Usd Million)
9.2.3 Us
9.2.3.1 Rising Technological Advancements And Deals Focusing On Ai Development To Drive Market
9.2.4 Canada
9.2.4.1 Strong Tech Ecosystem, Presence Of Numerous Startups, And Supportive Government Initiatives To Drive Market
9.3 Europe
9.3.1 Europe: Embedded Ai Market Drivers
9.3.2 Europe: Recession Impact
Table 101 Europe: Embedded Ai Market, By Offering, 2017–2022 (Usd Million)
Table 102 Europe: Embedded Ai Market, By Offering, 2023–2028 (Usd Million)
Table 103 Europe: Embedded Ai Market, By Hardware, 2017–2022 (Usd Million)
Table 104 Europe: Embedded Ai Market, By Hardware, 2023–2028 (Usd Million)
Table 105 Europe: Embedded Ai Market, By Software, 2017–2022 (Usd Million)
Table 106 Europe: Embedded Ai Market, By Software, 2023–2028 (Usd Million)
Table 107 Europe: Embedded Ai Market, By Service, 2017–2022 (Usd Million)
Table 108 Europe: Embedded Ai Market, By Service, 2023–2028 (Usd Million)
Table 109 Europe: Embedded Ai Market, By Data Type, 2017–2022 (Usd Million)
Table 110 Europe: Embedded Ai Market, By Data Type, 2023–2028 (Usd Million)
Table 111 Europe: Embedded Ai Market, By Vertical, 2017–2022 (Usd Million)
Table 112 Europe: Embedded Ai Market, By Vertical, 2023–2028 (Usd Million)
Table 113 Europe: Embedded Ai Market, By Country, 2017–2022 (Usd Million)
Table 114 Europe: Embedded Ai Market, By Country, 2023–2028 (Usd Million)
9.3.3 Uk
9.3.3.1 Growing Demand For Interconnected Devices And Focus On Developing Cutting-edge Technologies To Drive Market
9.3.4 Germany
9.3.4.1 Acquisitions And Partnerships Between Major Companies To Develop Intelligent Devices To Propel Demand For Embedded Ai
9.3.5 France
9.3.5.1 Focus Of Stmicroelectronics On Developing Cutting-edge Embedded Ai Solutions To Drive Market
9.3.6 Italy
9.3.6.1 Integration Of Edge Computing And Ai Capabilities And Rising Demand From Healthcare Sector To Drive Market
9.3.7 Spain
9.3.7.1 Establishment Of Bsc As European Ai-on-demand Platform To Drive Market
9.3.8 Rest Of Europe
9.4 Asia Pacific
9.4.1 Asia Pacific: Embedded Ai Market Drivers
9.4.2 Asia Pacific: Recession Impact
Figure 44 Asia Pacific: Market Snapshot
Table 115 Asia Pacific: Embedded Ai Market, By Offering, 2017–2022 (Usd Million)
Table 116 Asia Pacific: Embedded Ai Market, By Offering, 2023–2028 (Usd Million)
Table 117 Asia Pacific: Embedded Ai Market, By Hardware, 2017–2022 (Usd Million)
Table 118 Asia Pacific: Embedded Ai Market, By Hardware, 2023–2028 (Usd Million)
Table 119 Asia Pacific: Embedded Ai Market, By Software, 2017–2022 (Usd Million)
Table 120 Asia Pacific: Embedded Ai Market, By Software, 2023–2028 (Usd Million)
Table 121 Asia Pacific: Embedded Ai Market, By Service, 2017–2022 (Usd Million)
Table 122 Asia Pacific: Embedded Ai Market, By Service, 2023–2028 (Usd Million)
Table 123 Asia Pacific: Embedded Ai Market, By Data Type, 2017–2022 (Usd Million)
Table 124 Asia Pacific: Embedded Ai Market, By Data Type, 2023–2028 (Usd Million)
Table 125 Asia Pacific: Embedded Ai Market, By Vertical, 2017–2022 (Usd Million)
Table 126 Asia Pacific: Embedded Ai Market, By Vertical, 2023–2028 (Usd Million)

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