Embedded AI Market

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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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Report Code: TC 8701 Jun, 2023, by marketsandmarkets.com

[328 Pages Report] The embedded AI market is estimated to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028, at a CAGR of 14.0% during the forecast period. Rise in demand for more powerful and energy-efficient processors to effectively handle complex AI algorithms and integration with cloud-based AI services for better scalability to offer opportunities to the end users to leverage embedded AI solutions. Moreover, the growing demand for intelligent and autonomous systems for a personalized experience and the proliferation of connected devices and IoT ecosystems for effective communications will boost market growth worldwide.

Embedded AI Market Technology Roadmap till 2030

The embedded AI market report covers the embedded AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI-driven intelligent devices, and next-gen embedded AI systems. Some of the key findings from the technology roadmap include:

Embedded AI Market Short-term Technology Roadmap (2023-2025)

  • Advancements in edge AI platforms to provide enhanced processing power, reduce latency, and flexibility
  • Commercialization of Embedded AI enhancing human intelligence in a wide range of applications

Embedded AI Market Mid-term Technology Roadmap (2026-2028)

  • Development in hardware accelerators empowers embedded AI solutions by improving performance, energy efficiency, compactness, real-time responsiveness, and cost-effectiveness
  • Next-gen embedded AI systems will continue to push the boundaries of what is possible at the edge to enable intelligent, autonomous, and context-aware applications across various industries

Embedded AI Market Long-term Technology Roadmap (2029-2030)

  • Advanced AI-driven autonomous systems heavily rely on embedded AI for advanced sensing and perception capabilities
  • AI-driven intelligent devices continue to evolve and become more pervasive in homes, workplaces, and other environments, embedded AI will play a vital role in enabling their intelligent and context-aware capabilities

Embedded AI Market

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Embedded AI Market

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Market Dynamics

Driver: Growing demand for intelligent and autonomous systems for a personalized experience

The increasing need for advanced technologies that can provide personalized and adaptive experiences to users to boost the adoption of embedded AI solutions in the market. The demand for personalized experiences has led to the integration of AI capabilities into various embedded systems. By leveraging embedded AI solutions, devices and applications can analyze user data, preferences, and behavior to provide tailored recommendations, suggestions, and responses. This enhances user satisfaction and engagement. Moreover, embedded AI solutions can enable autonomous behavior in devices and systems, reducing the need for constant user interference. This is particularly relevant in applications such as autonomous vehicles, smart home automation, and industrial automation, where embedded AI algorithms can enable intelligent decision-making and automated actions. Embedded AI solutions can leverage machine learning algorithms to analyze data patterns and make predictions about user preferences, behavior, or system performance. This helps in anticipating user needs, optimizing resource allocation, and enhancing the overall efficiency of embedded systems. Nowadays, the demand for voice-controlled and natural language interfaces is soaring. Embedded AI solutions can incorporate natural language processing (NLP) and voice recognition capabilities, allowing users to interact with devices and applications using voice commands, making the experience more intuitive and user-friendly. Overall, the growing demand for intelligent and autonomous systems for personalized experience is driving the development and adoption of embedded AI solutions. These solutions enable devices and systems to understand user preferences, adapt to changing contexts, make intelligent decisions, and provide personalized experiences, ultimately enhancing user satisfaction and driving market growth.

Restraint: Concerns related to data privacy and security

Data privacy and security concerns can erode trust between users and embedded AI solutions. Users may hesitate to share their data or engage with AI-powered systems if they are not confident in the security measures. Lack of transparency about how embedded AI solutions collect, store, and use data can further contribute to mistrust and hinder adoption. Embedded AI solutions may have access to a wide range of data, including personal information and user behavior. Concerns arise regarding the ethical use of this data and the potential for misuse or biased decision-making. Ensuring fairness, transparency, and accountability in AI algorithms and data processing becomes crucial to address these concerns. Failure to address ethical considerations can result in resistance to adopting embedded AI solutions. To overcome these challenges and boost the adoption of embedded AI solutions, vendors and organizations need to prioritize data privacy and security. This includes implementing robust security measures, complying with data protection regulations, ensuring transparency and accountability in data handling, and promoting ethical use of data. Building trust among users by addressing privacy concerns and communicating the steps to secure data can help alleviate barriers to adoption and drive wider acceptance of embedded AI solutions.

Opportunity : Rise in demand for more powerful and energy-efficient processors to effectively handle complex AI algorithms

The rise in demand for more powerful and energy-efficient processors to effectively handle complex AI algorithms provides more significant opportunities for embedded AI solution providers in the market. As AI algorithms become increasingly complex and resource-intensive, there is a growing need for processors that can handle computational demands efficiently. The demand for more powerful processors, such as high-performance CPUs, GPUs, and specialized AI accelerators, opens opportunities for embedded AI solution providers to offer advanced hardware solutions. By developing and offering processors specifically optimized for AI workloads, providers can cater to the increasing demand for enhanced performance and enable more sophisticated embedded AI applications. Furthermore, traditional processors may need help to handle the computational requirements of AI algorithms while maintaining energy efficiency. Energy-efficient processors, including low-power CPUs, specialized AI chips, and edge computing solutions, are in high demand to enable embedded AI solutions in resource-constrained environments. Embedded AI solution providers can capitalize on this opportunity by developing energy-efficient processors that deliver high-performance computing while minimizing power consumption. These processors can be integrated into various devices and systems, enabling AI capabilities without compromising energy efficiency. Henceforth, the rise in demand for more powerful and energy-efficient processors to handle complex AI algorithms offers significant opportunities for embedded AI solution providers. By focusing on developing advanced processors, energy-efficient solutions, edge computing capabilities, and fostering partnerships, providers can capitalize on the growing market demand and deliver high-performance embedded AI solutions that meet customers’ evolving needs.

Challenge: Inadequate computational resources and model optimization

Embedded AI solutions often operate on resource-constrained devices with limited processing power, memory, and energy. Inadequate computational resources can limit the performance of AI algorithms, leading to slower inference times, reduced accuracy, and compromised user experience. When AI models cannot be efficiently executed on embedded devices due to computational limitations, it hinders the adoption of embedded AI solutions as they may not meet the performance requirements of the intended applications. Model optimization involves techniques like quantization, pruning, and model compression to reduce the model size and computational requirements without significant loss of accuracy. However, optimizing models for embedded devices can be complex and time-consuming. Inadequate computational resources can limit the ability to optimize models effectively, resulting in suboptimal performance and hindering the widespread adoption of embedded AI solutions. Addressing the challenge of inadequate computational resources and model optimization requires a combination of hardware advancements, algorithmic optimizations, and software frameworks tailored for embedded AI. As the industry continues to innovate in these areas, overcoming these challenges will help accelerate the adoption of embedded AI solutions in various domains and enable deploying more powerful and efficient AI applications on resource-constrained devices.

Embedded AI Market Ecosystem

Embedded AI Market

By offering software to register at the highest CAGR during the forecast period

Embedded AI software plays a crucial role in the market by providing the necessary algorithms, frameworks, and libraries to enable AI capabilities on embedded systems. Embedded AI software unlocks the potential of AI on embedded systems, enabling intelligent decision-making, real-time data analysis, and enhanced functionality across various industries. Embedded AI software allows embedded devices to process and interpret data locally, leading to increased autonomy, improved performance, and enhanced user experiences.

By data type, numeric data to account for the largest market size during the forecast period

Numeric data forms the foundation for training, optimizing, and deploying AI models on embedded systems. Embedded AI systems can leverage numeric data to optimize operations and resource utilization. By analyzing historical data and patterns, AI models embedded in the system can make data-driven decisions to optimize energy consumption, scheduling, routing, or resource allocation. This data-driven optimization can improve efficiency, and cost savings, to enhance performance across various sectors such as energy & utilities, transportation & logistics, manufacturing, and many more.

By Services, training and consulting to register at the highest CAGR during the forecast period

Training and consulting services play a significant role in the market for embedded AI solutions by providing expertise, guidance, and support to organizations adopting embedded AI technologies. Training and consulting services assist organizations in developing and optimizing AI models for embedded systems. They offer guidance in selecting appropriate algorithms, data preprocessing techniques, and well-suited model architectures for the embedded environment. By leveraging their expertise, these services ensure that AI models are efficiently trained, optimized, and fine-tuned to achieve optimal performance on embedded devices.

North America to account for the largest market size during the forecast period

North America is a leading region in adopting and growing embedded AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of embedded AI solutions in this region. Embedded AI adoption in North America has been growing steadily in recent years, driven by advancements in AI technologies, increasing demand for intelligent edge devices, and the proliferation of IoT applications. Overall, 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.

Embedded AI Market Size, and Share

Key Market Players

The embedded AI market vendors have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Key players operating 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 (The Netherlands), Lattice (US), 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).

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD (Billion)

Segments covered

Offering, Data Type, Vertical, and Region

Geographies covered

North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America

Companies covered

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).

This research report categorizes the Embedded AI market based on offering, data type, vertical, and region.

By Offering:
  • Hardware
  • Software
  • Services
By Data Type:
  • Sensor Data
  • Image and Video Data
  • Numeric Data
  • Categorial Data
  • Other Data Types (iris & facial data, text data, time series data, and audio data)  
By Vertical:
  • BFSI
  • IT & ITES
  • Retail & Ecommerce
  • Manufacturing
  • Energy & Utilities
  • Transportation & Logistics
  • Healthcare & Life Sciences
  • Media & Entertainment
  • Telecom
  • Automotive
  • Other Verticals (government, aerospace and defense, construction & real estate, agriculture, education, and travel & hospitality)
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia and New Zealand (ANZ)
    • South Korea
    • ASEAN Countries
    • Rest of Asia Pacific
  • Middle East and Africa
    • UAE
    • Saudi Arabia
    • South Africa
    • Israel
    • Rest of the Middle East and Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In April 2023, IBM announced the launch of Watson Edge for Financial Services, a solution that helps financial institutions deploy AI at the edge to improve customer service, fraud detection, and risk management.
  • In April 2023, Qualcomm Technologies partnered with eInfochips, an Arrow company, to launch Edge Labs. Edge Labs is a program that will help developers and innovators accelerate the development and deployment of AI applications for embedded devices. This partnership will help developers and innovators accelerate developing and deploying AI applications for embedded devices. Edge Labs will provide developers with access to Qualcomm’s expertise in AI and eInfochips' development and deployment services.
  • In March 2023, Arm partnered with Google Cloud to bring Arm-based solutions to the Google Cloud Platform (GCP). The partnership is expected to help Arm customers take advantage of GCP's AI and machine learning capabilities and to help Google Cloud customers deploy Arm-based solutions.
  • In March 2023, IBM acquired Instana, an application performance monitoring software provider. The acquisition will help IBM to expand its edge AI capabilities and provide customers with a more comprehensive view of their applications.
  • In March 2023, the AI-powered tool has been designed to assist Microsoft 365 users in performing various tasks, such as troubleshooting, training, and onboarding. Microsoft 365 Copilot, as an embedded AI technology, is integrated within a broader software ecosystem and has been created to function seamlessly with other Microsoft 365 products and services.
  • In October 2022, Intel partnered with Amazon Web Services (AWS) to bring Intel-based solutions to AWS. The partnership is expected to help Intel customers use AWS’s AI and machine learning capabilities to help AWS customers deploy Intel-based solutions.
  • In June 2022, Microsoft announced a partnership with NVIDIA to accelerate the development and deployment of edge AI applications. The partnership will combine Microsoft’s Azure platform with NVIDIA’s AI hardware and software to create a more comprehensive solution for edge computing.
  • In Jan 2022, IBM partnered with Google Cloud to accelerate the development and deployment of edge AI applications. The partnership will combine IBM’s AI and ML expertise with Google Cloud’s infrastructure and AI capabilities.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 41)
    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 (Page No. - 46)
    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 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 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 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 MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 60)
    TABLE 4 GLOBAL EMBEDDED AI MARKET SIZE AND GROWTH RATE, 2017–2022  (USD MILLION, Y-O-Y %) 
    TABLE 5 GLOBAL 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 (Page No. - 65)
    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 MARKET 
           FIGURE 17 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET: TOP THREE DATA TYPES 
           FIGURE 18 NUMERIC DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.4 NORTH AMERICA: 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 (Page No. - 68)
    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 MARKET, 2023
                               FIGURE 25 REGIONAL ANALYSIS OF PATENTS GRANTED FOR MARKET, 2023
    5.7 SUPPLY CHAIN ANALYSIS 
           FIGURE 26 MARKET: SUPPLY CHAIN ANALYSIS
           TABLE 14 MARKET: SUPPLY CHAIN ANALYSIS
    5.8 FUTURE DIRECTIONS OF MARKET LANDSCAPE 
           5.8.1 TECHNOLOGY ROADMAP FOR 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 MARKET: TRENDS AND DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES
    5.13 PORTER’S FIVE FORCES ANALYSIS 
                    FIGURE 31 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 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 (Page No. - 107)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 35 SOFTWARE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 19 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 20 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 MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
           TABLE 22 MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
           6.2.1 PROCESSORS
                    TABLE 23 PROCESSORS: 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: 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: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 30 OTHER HARDWARE: 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 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 34 AI MIDDLEWARE: 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: 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: MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 38 EDGE COMPUTING PLATFORMS: MARKET, BY REGION,  2023–2028 (USD MILLION)
           6.3.4 OTHER SOFTWARE
                    TABLE 39 OTHER SOFTWARE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 40 OTHER SOFTWARE: 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: MARKET, BY TYPE, 2017–2022 (USD MILLION)
           TABLE 42 SERVICES: 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: MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 44 TRAINING & CONSULTING: 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: MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 46 SYSTEM INTEGRATION & IMPLEMENTATION: 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: MARKET, BY REGION,  2017–2022 (USD MILLION)
                               TABLE 48 SUPPORT & MAINTENANCE: MARKET, BY REGION,  2023–2028 (USD MILLION)
 
7 EMBEDDED AI MARKET, BY DATA TYPE (Page No. - 130)
    7.1 INTRODUCTION 
           7.1.1 DATA TYPE: MARKET DRIVERS
                    FIGURE 39 NUMERIC DATA SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 49 MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 50 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 52 SENSOR DATA: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 54 IMAGE & VIDEO DATA: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 56 NUMERIC DATA: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 58 CATEGORICAL DATA: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.6 OTHER DATA TYPES 
           TABLE 59 OTHER DATA TYPES: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 60 OTHER DATA TYPES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 EMBEDDED AI MARKET, BY VERTICAL (Page No. - 138)
    8.1 INTRODUCTION 
           8.1.1 VERTICAL: MARKET DRIVERS
                    FIGURE 40 HEALTHCARE & LIFE SCIENCES VERTICAL TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
                    TABLE 61 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 62 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
    8.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 
           TABLE 63 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 64 BANKING, FINANCIAL SERVICES, AND INSURANCE: 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: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 68 RETAIL & ECOMMERCE: 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: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 72 ENERGY & UTILITIES: 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: 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: MARKET, BY REGION,  2017–2022 (USD MILLION)
           TABLE 76 HEALTHCARE & LIFE SCIENCES: 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: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 80 TELECOM: 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: 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: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 84 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 MARKET, BY REGION (Page No. - 175)
    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 MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 86 MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.2 NORTH AMERICA 
           9.2.1 NORTH AMERICA: 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: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 89 NORTH AMERICA: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                    TABLE 90 NORTH AMERICA: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                    TABLE 91 NORTH AMERICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                    TABLE 92 NORTH AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
                    TABLE 93 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 94 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 95 NORTH AMERICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 96 NORTH AMERICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                    TABLE 97 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 98 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 99 NORTH AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 100 NORTH AMERICA: 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: MARKET DRIVERS
           9.3.2 EUROPE: RECESSION IMPACT
                    TABLE 101 EUROPE: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 102 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 103 EUROPE: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                    TABLE 104 EUROPE: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                    TABLE 105 EUROPE: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                    TABLE 106 EUROPE: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
                    TABLE 107 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 108 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 109 EUROPE: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 110 EUROPE: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                    TABLE 111 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 112 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 113 EUROPE: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 114 EUROPE: 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: MARKET DRIVERS
           9.4.2 ASIA PACIFIC: RECESSION IMPACT
                    FIGURE 44 ASIA PACIFIC: EMBEDDED AI MARKET SNAPSHOT
                    TABLE 115 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 116 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 117 ASIA PACIFIC: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                    TABLE 118 ASIA PACIFIC: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                    TABLE 119 ASIA PACIFIC: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                    TABLE 120 ASIA PACIFIC: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
                    TABLE 121 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 122 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 123 ASIA PACIFIC: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 124 ASIA PACIFIC: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                    TABLE 125 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 126 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 127 ASIA PACIFIC: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 128 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                    TABLE 129 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 130 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2023–2028 (USD MILLION)
           9.4.3 CHINA
                    9.4.3.1 Deals between technical giants to create intelligent devices and government initiatives to adopt embedded AI to drive market
           9.4.4 INDIA
                    9.4.4.1 National AI Strategy to focus on R&D, skilling and reskilling, and establishing AI centers of excellence
           9.4.5 JAPAN
                    9.4.5.1 Deployment of AI in diverse sectors and presence of companies and startups specialized in embedded AI to drive market
           9.4.6 ANZ
                    9.4.6.1 Focus on developing cutting-edge AI solutions and attracting investments to drive demand for embedded AI
           9.4.7 SOUTH KOREA
                    9.4.7.1 Significant strides in AI research, development, and deployment and focus of companies on developing AI devices to drive market
           9.4.8 ASEAN COUNTRIES
                    9.4.8.1 Growing digital transformation efforts, expanding technology infrastructure, and increasing demand for AI-enabled applications to drive market
           9.4.9 REST OF ASIA PACIFIC
    9.5 MIDDLE EAST & AFRICA 
           9.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
           9.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                    TABLE 131 MIDDLE EAST & AFRICA: EMBEDDED AI MARKET, BY OFFERING,  2017–2022 (USD MILLION)
                    TABLE 132 MIDDLE EAST & AFRICA: MARKET, BY OFFERING,  2023–2028 (USD MILLION)
                    TABLE 133 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE,  2017–2022 (USD MILLION)
                    TABLE 134 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE,  2023–2028 (USD MILLION)
                    TABLE 135 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                    TABLE 136 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE,  2023–2028 (USD MILLION)
                    TABLE 137 MIDDLE EAST & AFRICA: MARKET, BY SERVICE,  2017–2022 (USD MILLION)
                    TABLE 138 MIDDLE EAST & AFRICA: MARKET, BY SERVICE,  2023–2028 (USD MILLION)
                    TABLE 139 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE,  2017–2022 (USD MILLION)
                    TABLE 140 MIDDLE EAST & AFRICA: MARKET, BY DATA TYPE,  2023–2028 (USD MILLION)
                    TABLE 141 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2017–2022 (USD MILLION)
                    TABLE 142 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2023–2028 (USD MILLION)
                    TABLE 143 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2017–2022 (USD MILLION)
                    TABLE 144 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY,  2023–2028 (USD MILLION)
           9.5.3 UAE
                    9.5.3.1 Government initiatives to promote advancement of technology and innovation to drive demand for embedded AI
           9.5.4 SAUDI ARABIA
                    9.5.4.1 Supportive government regulations and investment in technology to boost demand for embedded AI
           9.5.5 SOUTH AFRICA
                    9.5.5.1 Need for real-time data analysis, reduced latency, and enhanced data privacy to propel demand for embedded AI
           9.5.6 ISRAEL
                    9.5.6.1 Thriving startup ecosystem, robust R&D capabilities, and supportive government initiatives to drive market
           9.5.7 REST OF MIDDLE EAST & AFRICA
    9.6 LATIN AMERICA 
           9.6.1 LATIN AMERICA: MARKET DRIVERS
           9.6.2 LATIN AMERICA: RECESSION IMPACT
                    TABLE 145 LATIN AMERICA: EMBEDDED AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 146 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                    TABLE 147 LATIN AMERICA: MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                    TABLE 148 LATIN AMERICA: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                    TABLE 149 LATIN AMERICA: MARKET, BY SOFTWARE, 2017–2022 (USD MILLION)
                    TABLE 150 LATIN AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
                    TABLE 151 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 152 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                    TABLE 153 LATIN AMERICA: MARKET, BY DATA TYPE, 2017–2022 (USD MILLION)
                    TABLE 154 LATIN AMERICA: MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
                    TABLE 155 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                    TABLE 156 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                    TABLE 157 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                    TABLE 158 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.6.3 BRAZIL
                    9.6.3.1 Favorable government initiatives and focus on implementing AI technologies to drive market
           9.6.4 MEXICO
                    9.6.4.1 Technological advancements, demand for innovative startups and investments, and rising adoption of AI-powered solutions to drive market
           9.6.5 ARGENTINA
                    9.6.5.1 Focus of startups and companies on developing ML, computer vision, and NLP to drive market
           9.6.6 REST OF LATIN AMERICA
 
10 COMPETITIVE LANDSCAPE (Page No. - 221)
     10.1 OVERVIEW 
     10.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 159 OVERVIEW OF STRATEGIES ADOPTED BY KEY EMBEDDED AI VENDORS
     10.3 REVENUE ANALYSIS 
             10.3.1 HISTORIC REVENUE ANALYSIS
                       FIGURE 45 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022  (USD BILLION)
     10.4 MARKET SHARE ANALYSIS 
               FIGURE 46 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
               TABLE 160 EMBEDDED AI MARKET: DEGREE OF COMPETITION
     10.5 COMPANY EVALUATION MATRIX, 2022 
             10.5.1 STARS
             10.5.2 EMERGING LEADERS
             10.5.3 PERVASIVE PLAYERS
             10.5.4 PARTICIPANTS
                       FIGURE 47 MARKET: COMPANY EVALUATION MATRIX FOR  KEY PLAYERS, 2022
     10.6 COMPETITIVE BENCHMARKING 
               TABLE 161 MARKET: OVERALL FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
               TABLE 162 MARKET: OVERALL FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
     10.7 STARTUP/SME EVALUATION MATRIX, 2022 
             10.7.1 PROGRESSIVE COMPANIES
             10.7.2 RESPONSIVE COMPANIES
             10.7.3 DYNAMIC COMPANIES
             10.7.4 STARTING BLOCKS
                       FIGURE 48 EMBEDDED AI PLAYERS: COMPANY EVALUATION MATRIX FOR STARTUPS/ SMES, 2022
     10.8 STARTUP/SME COMPETITIVE BENCHMARKING 
               TABLE 163 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 164 EMBEDDED AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2022
     10.9 EMBEDDED AI PRODUCT LANDSCAPE 
             10.9.1 COMPARATIVE ANALYSIS OF EMBEDDED AI PRODUCTS
                       TABLE 165 COMPARATIVE ANALYSIS OF TRENDING EMBEDDED AI PRODUCTS
                       TABLE 166 COMPARATIVE ANALYSIS OF OTHER EMBEDDED AI PRODUCTS
     10.10 VALUATION AND FINANCIAL METRICS OF KEY EMBEDDED AI VENDORS 
               FIGURE 49 FINANCIAL METRICS OF KEY EMBEDDED AI VENDORS
               FIGURE 50 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY EMBEDDED AI VENDORS
     10.11 COMPETITIVE SCENARIO AND TRENDS 
               10.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 167 PRODUCT LAUNCHES, 2022–2023
               10.11.2 DEALS
                       TABLE 168 DEALS, 2021–2023
 
11 COMPANY PROFILES (Page No. - 249)
     11.1 INTRODUCTION 
(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)*
     11.2 KEY PLAYERS 
             11.2.1 GOOGLE
                       TABLE 169 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 51 GOOGLE: COMPANY SNAPSHOT
                       TABLE 170 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 171 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 172 GOOGLE: DEALS
             11.2.2 IBM
                       TABLE 173 IBM: BUSINESS OVERVIEW
                       FIGURE 52 IBM: COMPANY SNAPSHOT
                       TABLE 174 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 175 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 176 IBM: DEALS
             11.2.3 MICROSOFT
                       TABLE 177 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 178 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 179 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 180 MICROSOFT: DEALS
             11.2.4 AWS
                       TABLE 181 AWS: BUSINESS OVERVIEW
                       FIGURE 54 AWS: COMPANY SNAPSHOT
                       TABLE 182 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 183 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 184 AWS: DEALS
             11.2.5 NVIDIA
                       TABLE 185 NVIDIA: BUSINESS OVERVIEW
                       FIGURE 55 NVIDIA: COMPANY SNAPSHOT
                       TABLE 186 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 187 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 188 NVIDIA: DEALS
             11.2.6 INTEL
                       TABLE 189 INTEL: BUSINESS OVERVIEW
                       FIGURE 56 INTEL: COMPANY SNAPSHOT
                       TABLE 190 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 191 INTEL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 192 INTEL: DEALS
             11.2.7 QUALCOMM
                       TABLE 193 QUALCOMM: BUSINESS OVERVIEW
                       FIGURE 57 QUALCOMM: COMPANY SNAPSHOT
                       TABLE 194 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 195 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 196 QUALCOMM: DEALS
             11.2.8 ARM
                       TABLE 197 ARM: BUSINESS OVERVIEW
                       TABLE 198 ARM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 199 ARM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 200 ARM: DEALS
             11.2.9 AMD
                       TABLE 201 AMD: BUSINESS OVERVIEW
                       FIGURE 58 AMD: COMPANY SNAPSHOT
                       TABLE 202 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 203 AMD: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 204 AMD: DEALS
             11.2.10 MEDIATEK
                       TABLE 205 MEDIATEK: BUSINESS OVERVIEW
                       FIGURE 59 MEDIATEK: COMPANY SNAPSHOT
                       TABLE 206 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 207 MEDIATEK: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 208 MEDIATEK: DEALS
             11.2.11 ORACLE
                       TABLE 209 ORACLE: BUSINESS OVERVIEW
                       FIGURE 60 ORACLE: COMPANY SNAPSHOT
                       TABLE 210 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 211 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 212 ORACLE: DEALS
*Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.
     11.3 OTHER KEY PLAYERS 
             11.3.1 SALESFORCE
             11.3.2 NXP
             11.3.3 LATTICE SEMICONDUCTOR
             11.3.4 OCTONION
             11.3.5 NEUROPACE
             11.3.6 SIEMENS
             11.3.7 HPE
             11.3.8 LUIS TECHNOLOGY
             11.3.9 CODE TIME TECHNOLOGIES
             11.3.10 HISILICON
             11.3.11 VECTORBLOX
             11.3.12 AU-ZONE TECHNOLOGIES
             11.3.13 STMICROELECTRONICS
             11.3.14 SENSETIME
     11.4 STARTUP/SME PROFILES 
             11.4.1 EDGE IMPULSE
             11.4.2 PERCEIVE
             11.4.3 ETA COMPUTE
             11.4.4 SENSIML
             11.4.5 SYNTIANT
             11.4.6 GRAPHCORE
             11.4.7 SIMA.AI
 
12 ADJACENT AND RELATED MARKETS (Page No. - 308)
     12.1 INTRODUCTION 
     12.2 EDGE AI SOFTWARE MARKET - GLOBAL FORECAST TO 2027 
             12.2.1 MARKET DEFINITION
             12.2.2 MARKET OVERVIEW
                       12.2.2.1 Edge AI software market, by component
                                   TABLE 213 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2018–2021 (USD MILLION)
                                   TABLE 214 EDGE AI SOFTWARE MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
                       12.2.2.2 Edge AI software market, by data source
                                   TABLE 215 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2018–2021 (USD MILLION)
                                   TABLE 216 EDGE AI SOFTWARE MARKET, BY DATA SOURCE, 2022–2027 (USD MILLION)
                       12.2.2.3 Edge AI software market, by organization size
                                   TABLE 217 EDGE AI SOFTWARE MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
                       12.2.2.4 Edge AI software market, by vertical
                                   TABLE 219 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2018–2021 (USD MILLION)
                                   TABLE 220 EDGE AI SOFTWARE MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
                       12.2.2.5 Edge AI software market, by region
                                   TABLE 221 EDGE AI SOFTWARE MARKET, BY REGION, 2018–2021 (USD MILLION)
                                   TABLE 222 EDGE AI SOFTWARE MARKET, BY REGION, 2022–2027 (USD MILLION)
     12.3 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027 
             12.3.1 MARKET DEFINITION
             12.3.2 MARKET OVERVIEW
                       12.3.2.1 Artificial intelligence market, by offering
                                   TABLE 223 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                                   TABLE 224 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
                       12.3.2.2 Artificial intelligence market, by technology
                                   TABLE 225 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                                   TABLE 226 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
                       12.3.2.3 Artificial intelligence market, by deployment mode
                                   TABLE 227 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                                   TABLE 228 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
                       12.3.2.4 Artificial intelligence market, by organization size
                                   TABLE 229 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION)
                                   TABLE 230 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION)
                       12.3.2.5 Artificial intelligence market, by business function
                                   TABLE 231 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
                                   TABLE 232 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
                       12.3.2.6 Artificial intelligence market, by vertical
                                   TABLE 233 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                                   TABLE 234 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
                       12.3.2.7 Artificial intelligence market, by region
                                   TABLE 235 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                                   TABLE 236 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)
 
13 APPENDIX (Page No. - 320)
     13.1 DISCUSSION GUIDE 
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     13.5 AUTHOR DETAILS 

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.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors’ websites. Additionally, Embedded AI spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to offerings, hardware, software, services, data types, verticals, and regions, and key developments from both markets- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and Embedded AI expertise; related key executives from Embedded AI solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using Embedded AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of Embedded AI solutions and services, which would impact the overall Embedded AI market.

The Breakup of Primary Research:

Embedded AI Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

COMPANY NAME

DESIGNATION

Edge Intelligence

VP Product

Octonion

CEO

Litmus

Regional Director, Asia Pacific Sales

Kneron

Marketing Director

Market Size Estimation

In the bottom-up approach, the adoption rate of embedded AI solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of embedded AI solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the embedded AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major embedded AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall Embedded AI market size and segments’ size were determined and confirmed using the study.

Global Embedded AI Market Size: Bottom-Up and Top-Down Approach:

Embedded AI Market Size, and Share

Data Triangulation

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the Embedded AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major embedded AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall Embedded AI market size and segments’ size were determined and confirmed using the study.

Market Definition

Embedded AI solutions combine artificial intelligence (AI) capabilities directly into devices, systems, or products at the network’s edge. These solutions enable devices to perform intelligent tasks locally, such as data processing, decision-making, and inference, without relying on cloud or remote servers. By embedding AI into devices, organizations can enhance functionality, enable real-time and context-aware intelligence, and optimize resource utilization.

Stakeholders

  • Embedded AI vendors
  • Embedded AI hardware vendors
  • Embedded AI service vendors
  • Consulting service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the Embedded AI market by offering (hardware, software, and services), data type, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Embedded AI market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Embedded AI market
  • To analyze the impact of recession across all the regions across the Embedded AI market

Available Customizations

With the given market data, MarketsandMarkets offers customizations per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

  • Further breakup of the North American Embedded AI market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Report Code
TC 8701
Published ON
Jun, 2023
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