Global Embedded AI Market is valued approximately USD 8.2 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 14% over the forecast period 2023-2030. Embedded AI refers to the integration of artificial intelligence (AI) capabilities directly into devices, systems, or applications, enabling them to process data, make intelligent decisions, and perform tasks without relying on cloud-based resources. By embedding AI algorithms and models into edge devices, such as sensors, appliances, or industrial machinery, embedded AI enables real-time data analysis, local inference, and autonomous operation, enhancing efficiency, responsiveness, and intelligence at the edge of the network. The driving factors boosting the market growth are increasing demand for Artificial Intelligence (AI) and growing demand for Real-Time Decision-Making.
According to Statista, the global AI market estimated to be worth USD 142.3 billion as of 2023, continues to grow by the influx of investments. The overall annual corporate investment in AI startups climbed by five billion dollars between 2020 and 2022, roughly double the amount invested previously. Another driving factor is growing demand for Real-Time Decision-Making. Many applications require real-time decision-making capabilities, such as autonomous vehicles, robotics, and industrial automation. Embedded AI allows for instant data analysis and decision-making at the edge, eliminating the need for data transmission to a centralized system and enabling faster response times. Moreover, deployment of 5G networks coupled with Edge AI and rising emphasis on ethical AI is expected to create lucrative opportunities in the market. However, the high cost of Embedded AI solutions and limited availability of skilled talent stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Embedded AI Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 due to the presence of companies with cutting-edge AI technology, strong R&D skills, rising demand for intelligence edge services, and an established market ecosystem. However, Asia Pacific is expected to become the fastest growing during the forecast period, owing to factors such as growing urbanization, a robust manufacturing base, rising IoT application demand, and improvements in AI technology. The Asia Pacific market offers enormous development prospects for Embedded AI technologies and solutions thanks to strong government support, a robust startup ecosystem, and investments in AI infrastructure.
Major market player included in this report are:
- Qualcomm Technologies
- Google LLC
- Microsoft Corporation
- International Business Machines Corporation (IBM)
- Amazon Web services
- Code Time Technologies
- LUIS Technology
- Oracle Corporation
- Intel Corporation
- Eigen Technologies
Recent Developments in the Market:
- In April 2023, IBM launched Watson Edge for Financial Services, a solution that can be used by financial institutions to enhance customer service, fraud detection, and risk management.
- In March 2023, IBM acquired Instana, an application performance monitoring software provider, in order to expand its edge AI capabilities and offers customers a holistic perspective on their applications. This move enhances IBM's ability to deliver comprehensive solutions for application monitoring and optimization.
Global Embedded AI Market Report Scope:
- Historical Data: 2020 - 2021
- Base Year for Estimation: 2022
- Forecast period: 2023-2030
- Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered: Offering, Data Type, Vertical, Region
- Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.
By Offering:
- Hardware
- Software
- Services
By Data Type:
- Sensor Data
- Image and Video Data
- Numeric Data
- Categorical Data
- Other Data
By Vertical:
- BFSI
- IT & ITES
- Retail & E-commerce
- Manufacturing
- Energy & Utilities
- Transportation & Logistics
- Healthcare & Life Sciences
- Media & Entertainment
- Telecom
- Automotive
- Other Verticals
By Region:
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
- 1.2.1. Embedded AI Market, by Region, 2020-2030 (USD Billion)
- 1.2.2. Embedded AI Market, by Offering, 2020-2030 (USD Billion)
- 1.2.3. Embedded AI Market, by Data Type, 2020-2030 (USD Billion)
- 1.2.4. Embedded AI Market, by Vertical, 2020-2030 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Embedded AI Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Embedded AI Market Dynamics
- 3.1. Embedded AI Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing demand for Artificial Intelligence (AI)
- 3.1.1.2. Growing demand for Real-Time Decision-Making
- 3.1.2. Market Challenges
- 3.1.2.1. High cost of Embedded AI solutions
- 3.1.2.2. Limited availability of skilled talent
- 3.1.3. Market Opportunities
- 3.1.3.1. Deployment of 5G Networks with Edge AI
- 3.1.3.2. Rising emphasis on ethical AI
Chapter 4. Global Embedded AI Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Embedded AI Market, by Offering
- 5.1. Market Snapshot
- 5.2. Global Embedded AI Market by Offering, Performance - Potential Analysis
- 5.3. Global Embedded AI Market Estimates & Forecasts by Offering 2020-2030 (USD Billion)
- 5.4. Embedded AI Market, Sub Segment Analysis
- 5.4.1. Hardware
- 5.4.2. Software
- 5.4.3. Services
Chapter 6. Global Embedded AI Market, by Data Type
- 6.1. Market Snapshot
- 6.2. Global Embedded AI Market by Data Type, Performance - Potential Analysis
- 6.3. Global Embedded AI Market Estimates & Forecasts by Data Type 2020-2030 (USD Billion)
- 6.4. Embedded AI Market, Sub Segment Analysis
- 6.4.1. Sensor Data
- 6.4.2. Image and Video Data
- 6.4.3. Numeric Data
- 6.4.4. Categorical Data
- 6.4.5. Other Data
Chapter 7. Global Embedded AI Market, by Vertical
- 7.1. Market Snapshot
- 7.2. Global Embedded AI Market by Vertical, Performance - Potential Analysis
- 7.3. Global Embedded AI Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
- 7.4. Embedded AI Market, Sub Segment Analysis
- 7.4.1. BFSI
- 7.4.2. IT & ITES
- 7.4.3. Retail & E-commerce
- 7.4.4. Manufacturing
- 7.4.5. Energy & Utilities
- 7.4.6. Transportation & Logistics
- 7.4.7. Healthcare & Life Sciences
- 7.4.8. Media & Entertainment
- 7.4.9. Telecom
- 7.4.10. Automotive
- 7.4.11. Other Verticals
Chapter 8. Global Embedded AI Market, Regional Analysis
- 8.1. Top Leading Countries
- 8.2. Top Emerging Countries
- 8.3. Embedded AI Market, Regional Market Snapshot
- 8.4. North America Embedded AI Market
- 8.4.1. U.S. Embedded AI Market
- 8.4.1.1. Offering breakdown estimates & forecasts, 2020-2030
- 8.4.1.2. Data Type breakdown estimates & forecasts, 2020-2030
- 8.4.1.3. Vertical breakdown estimates & forecasts, 2020-2030
- 8.4.2. Canada Embedded AI Market
- 8.5. Europe Embedded AI Market Snapshot
- 8.5.1. U.K. Embedded AI Market
- 8.5.2. Germany Embedded AI Market
- 8.5.3. France Embedded AI Market
- 8.5.4. Spain Embedded AI Market
- 8.5.5. Italy Embedded AI Market
- 8.5.6. Rest of Europe Embedded AI Market
- 8.6. Asia-Pacific Embedded AI Market Snapshot
- 8.6.1. China Embedded AI Market
- 8.6.2. India Embedded AI Market
- 8.6.3. Japan Embedded AI Market
- 8.6.4. Australia Embedded AI Market
- 8.6.5. South Korea Embedded AI Market
- 8.6.6. Rest of Asia Pacific Embedded AI Market
- 8.7. Latin America Embedded AI Market Snapshot
- 8.7.1. Brazil Embedded AI Market
- 8.7.2. Mexico Embedded AI Market
- 8.8. Middle East & Africa Embedded AI Market
- 8.8.1. Saudi Arabia Embedded AI Market
- 8.8.2. South Africa Embedded AI Market
- 8.8.3. Rest of Middle East & Africa Embedded AI Market
Chapter 9. Competitive Intelligence
- 9.1. Key Company SWOT Analysis
- 9.1.1. Company 1
- 9.1.2. Company 2
- 9.1.3. Company 3
- 9.2. Top Market Strategies
- 9.3. Company Profiles
- 9.3.1. Qualcomm Technologies
- 9.3.1.1. Key Information
- 9.3.1.2. Overview
- 9.3.1.3. Financial (Subject to Data Availability)
- 9.3.1.4. Product Summary
- 9.3.1.5. Recent Developments
- 9.3.2. Google LLC
- 9.3.3. Microsoft Corporation
- 9.3.4. International Business Machines Corporation (IBM)
- 9.3.5. Amazon Web services
- 9.3.6. Code Time Technologies
- 9.3.7. LUIS Technology
- 9.3.8. Oracle Corporation
- 9.3.9. Intel Corporation
- 9.3.10. Eigen Technologies
Chapter 10. Research Process
- 10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
- 10.2. Research Attributes
- 10.3. Research Assumption