Edge AI for Smart Manufacturing Market 2025-2031: Growth Opportunities, Key Technologies, and Industry Forecast | Google, NVIDIA, Intel, Qualcomm Technologies

LOS ANGELES, United States: QY Research has recently published a report, titled "Edge AI for Smart Manufacturing - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031". The global Edge AI for Smart Manufacturing market is carefully analyzed in the report with large focus on market dynamics including key issues and challenges, drivers, trends, and opportunities. The report provides deep analysis of important market participants to help understand the use of leading strategies adopted in the global Edge AI for Smart Manufacturing market. It also sheds light on the industrial value chain and its expected changes during the course of the forecast period. The analysts have offered comprehensive and accurate research on prices, sales, and costs observed in the global Edge AI for Smart Manufacturing market and how they are expected to change in the coming years. The research study has been prepared with the help of latest primary and secondary research methodologies.

The global market for Edge AI for Smart Manufacturing was estimated to be worth US$ 866 million in 2024 and is forecast to a readjusted size of US$ 1842 million by 2031 with a CAGR of 12.7% during the forecast period 2025-2031.

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Edge AI for smart manufacturing refers to the use of artificial intelligence algorithms processed locally on hardware devices ("at the edge") within a manufacturing environment, without relying on centralized cloud infrastructure. These devices integrate sensors, embedded processors, and AI models to enable real-time decision-making, anomaly detection, quality control, and automation in factories and industrial settings.This approach reduces latency, enhances data privacy, saves bandwidth, and improves operational efficiency by enabling fast, on-site intelligence.

The researchers have provided quantitative and qualitative analysis along with absolute dollar opportunity assessment in the Edge AI for Smart Manufacturing report. Additionally, the Edge AI for Smart Manufacturing report offers Porters Five Forces analysis and PESTLE analysis for more detailed comparisons and other important studies. Each section of the Edge AI for Smart Manufacturing report has something valuable to offer to players for improving their gross margin, sales and marketing strategy, and profit margins. Using the report as a tool for gaining insightful market analysis, players can identify the much-needed changes in their operation and improve their approach to doing business. Furthermore, they will be able to give a tough competition to other players of the global Edge AI for Smart Manufacturing market while identifying key growth pockets.

Drivers and Restraints-

The report explains the drivers shaping the future of the Pill Making Machines market. It evaluates the various forces that are expected to create a positive influence on the overall market. Analysts have studied the investments in research and development of products and technologies that are expected to give the players a definite boost. Furthermore, researchers have also included an analysis of the changing consumer behavior that is projected to impact the supply and demand cycles present in the global Pill Making Machines market. Evolving per capita earnings, improving economic statuses, and emerging trends have all been studied in this research report.

The research report also explains the potential restraints present in the global Pill Making Machines market. It evaluates the aspects that are likely to hamper the market growth in the near future. In addition to this assessment, it also provides a list of opportunities that could prove lucrative to the overall market. Analysts provide solutions for turning threats and restraints into successful opportunities in the coming years.

Competitive Landscape

One of the most important sections of the report is company profiling, where leading companies operating in the global Edge AI for Smart Manufacturing market are analyzed in quite some detail. The researchers have brought to light the top strategies, market share, regional growth, revenue growth, and markets served by these companies. The competitive landscape study explains the current nature of competition and shows whether the vendor landscape could see any changes in future. Players can use this analysis to improve their sales strategy, create new marketing tactics, or explore other business strategies.

Key Players Mentioned in the Global Edge AI for Smart Manufacturing Market Research Report:

Google
NVIDIA
Intel
Qualcomm Technologies
Siemens
Edgeimpulse
Inc
Hailo
Ambarella International
Ceva Inc
STMicroelectronics
Infineon
Lattice Semiconductor

Each segment of the global Edge AI for Smart Manufacturing market has been elaborately discussed in the report while mainly concentrating on market share, revenue, volume, future growth projections, and other critical factors. The segmental analysis will help players to become aware of untapped revenue pockets and explore new opportunities available in the global Edge AI for Smart Manufacturing market. Similarly, the report discusses about important regional markets, including North America, Asia Pacific, Europe, Latin America, and the MEA. Here, the regions are exhaustively analyzed to show how they are growing in the global Edge AI for Smart Manufacturing market. Furthermore, the report provides growth and CAGR forecasts of regional markets for all the years of the forecast period.

Segment by Type:

Predictive Maintenance
Process Optimization
Anomaly Detection
Quality Inspection
Others

Segment by Application:

Automotive Manufacturing
Electronics and Semiconductor Fabs
Food and Beverage Production
Pharmaceuticals and Medical Device Manufacturing
Heavy Machinery and Equipment Assembly
Others

The report offers in-depth analysis of key regional and country-level Edge AI for Smart Manufacturing markets, taking into account their market size, CAGR, market potential, future developments, and other significant parameters. It includes geographical analysis of both developed and emerging markets for Edge AI for Smart Manufacturing. This helps readers to understand the growth pattern of the Edge AI for Smart Manufacturing market in different regions and countries. In addition, the regional analysis will provide market players an extremely important resource to plan targeted strategies to expand into key regional markets or tap into unexplored ones.

Segment by Region:

North America
United States
Canada

Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific

Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe

Latin America
Mexico
Brazil
Rest of Latin America

Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA

The authors of the report used advanced primary and secondary research techniques and tools to prepare the research study. The total sizes of the global Edge AI for Smart Manufacturing market and its segments were projected and validated using top-down and bottom-up approaches. In order to estimate the exact market figures of different segments and sub-segments and complete the market engineering process, the analysts used market breakdown and data triangulation procedures. The report also provides macroeconomic and microeconomic analyses of the global Edge AI for Smart Manufacturing market.

Highlights of Report

(1) Buyers of the report will have access to unique information about top 10 players of the global Edge AI for Smart Manufacturing market

(2) The report informs readers about future products and technologies to be introduced in the global Edge AI for Smart Manufacturing market

(3) Readers are offered with comprehensive analysis on key revenue pockets of the global Edge AI for Smart Manufacturing market

(4) The report provides details about long-term and short-term strategies adopted by major players of the global Edge AI for Smart Manufacturing market

(5) The authors of the report have provided demand and growth trends of the global Edge AI for Smart Manufacturing market and also its segments

(6) In the geographical analysis section, the Edge AI for Smart Manufacturing report discusses about recent market developments in different regions and countries.

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Table of Contents

1 Market Overview
1.1 Edge AI for Smart Manufacturing Product Introduction
1.2 Global Edge AI for Smart Manufacturing Market Size Forecast (2020-2031)
1.3 Edge AI for Smart Manufacturing Market Trends & Drivers
1.3.1 Edge AI for Smart Manufacturing Industry Trends
1.3.2 Edge AI for Smart Manufacturing Market Drivers & Opportunity
1.3.3 Edge AI for Smart Manufacturing Market Challenges
1.3.4 Edge AI for Smart Manufacturing Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered

2 Competitive Analysis by Company
2.1 Global Edge AI for Smart Manufacturing Players Revenue Ranking (2024)
2.2 Global Edge AI for Smart Manufacturing Revenue by Company (2020-2025)
2.3 Key Companies Edge AI for Smart Manufacturing Manufacturing Base Distribution and Headquarters
2.4 Key Companies Edge AI for Smart Manufacturing Product Offered
2.5 Key Companies Time to Begin Mass Production of Edge AI for Smart Manufacturing
2.6 Edge AI for Smart Manufacturing Market Competitive Analysis
2.6.1 Edge AI for Smart Manufacturing Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Edge AI for Smart Manufacturing Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Edge AI for Smart Manufacturing as of 2024)
2.7 Mergers & Acquisitions, Expansion

3 Segmentation by Solution
3.1 Introduction by Solution
3.1.1 Predictive Maintenance
3.1.2 Process Optimization
3.1.3 Anomaly Detection
3.1.4 Quality Inspection
3.1.5 Others
3.2 Global Edge AI for Smart Manufacturing Sales Value by Solution
3.2.1 Global Edge AI for Smart Manufacturing Sales Value by Solution (2020 VS 2024 VS 2031)
3.2.2 Global Edge AI for Smart Manufacturing Sales Value, by Solution (2020-2031)
3.2.3 Global Edge AI for Smart Manufacturing Sales Value, by Solution (%) (2020-2031)

4 Segmentation by End User
4.1 Introduction by End User
4.1.1 Automotive Manufacturing
4.1.2 Electronics and Semiconductor Fabs
4.1.3 Food and Beverage Production
4.1.4 Pharmaceuticals and Medical Device Manufacturing
4.1.5 Heavy Machinery and Equipment Assembly
4.1.6 Others
4.2 Global Edge AI for Smart Manufacturing Sales Value by End User
4.2.1 Global Edge AI for Smart Manufacturing Sales Value by End User (2020 VS 2024 VS 2031)
4.2.2 Global Edge AI for Smart Manufacturing Sales Value, by End User (2020-2031)
4.2.3 Global Edge AI for Smart Manufacturing Sales Value, by End User (%) (2020-2031)

5 Segmentation by Region
5.1 Global Edge AI for Smart Manufacturing Sales Value by Region
5.1.1 Global Edge AI for Smart Manufacturing Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Edge AI for Smart Manufacturing Sales Value by Region (2020-2025)
5.1.3 Global Edge AI for Smart Manufacturing Sales Value by Region (2026-2031)
5.1.4 Global Edge AI for Smart Manufacturing Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Edge AI for Smart Manufacturing Sales Value, 2020-2031
5.2.2 North America Edge AI for Smart Manufacturing Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Edge AI for Smart Manufacturing Sales Value, 2020-2031
5.3.2 Europe Edge AI for Smart Manufacturing Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Edge AI for Smart Manufacturing Sales Value, 2020-2031
5.4.2 Asia Pacific Edge AI for Smart Manufacturing Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Edge AI for Smart Manufacturing Sales Value, 2020-2031
5.5.2 South America Edge AI for Smart Manufacturing Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Edge AI for Smart Manufacturing Sales Value, 2020-2031
5.6.2 Middle East & Africa Edge AI for Smart Manufacturing Sales Value by Country (%), 2024 VS 2031

6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Edge AI for Smart Manufacturing Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.3 United States
6.3.1 United States Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.3.2 United States Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.3.3 United States Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.4 Europe
6.4.1 Europe Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.4.2 Europe Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.4.3 Europe Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.5 China
6.5.1 China Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.5.2 China Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.5.3 China Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.6 Japan
6.6.1 Japan Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.6.2 Japan Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.6.3 Japan Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.7.2 South Korea Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.7.3 South Korea Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.8.2 Southeast Asia Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.8.3 Southeast Asia Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031
6.9 India
6.9.1 India Edge AI for Smart Manufacturing Sales Value, 2020-2031
6.9.2 India Edge AI for Smart Manufacturing Sales Value by Solution (%), 2024 VS 2031
6.9.3 India Edge AI for Smart Manufacturing Sales Value by End User, 2024 VS 2031

7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Edge AI for Smart Manufacturing Products, Services and Solutions
7.1.4 Google Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.1.5 Google Recent Developments
7.2 NVIDIA
7.2.1 NVIDIA Profile
7.2.2 NVIDIA Main Business
7.2.3 NVIDIA Edge AI for Smart Manufacturing Products, Services and Solutions
7.2.4 NVIDIA Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.2.5 NVIDIA Recent Developments
7.3 Intel
7.3.1 Intel Profile
7.3.2 Intel Main Business
7.3.3 Intel Edge AI for Smart Manufacturing Products, Services and Solutions
7.3.4 Intel Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.3.5 Intel Recent Developments
7.4 Qualcomm Technologies
7.4.1 Qualcomm Technologies Profile
7.4.2 Qualcomm Technologies Main Business
7.4.3 Qualcomm Technologies Edge AI for Smart Manufacturing Products, Services and Solutions
7.4.4 Qualcomm Technologies Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.4.5 Qualcomm Technologies Recent Developments
7.5 Siemens
7.5.1 Siemens Profile
7.5.2 Siemens Main Business
7.5.3 Siemens Edge AI for Smart Manufacturing Products, Services and Solutions
7.5.4 Siemens Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.5.5 Siemens Recent Developments
7.6 Edgeimpulse, Inc
7.6.1 Edgeimpulse, Inc Profile
7.6.2 Edgeimpulse, Inc Main Business
7.6.3 Edgeimpulse, Inc Edge AI for Smart Manufacturing Products, Services and Solutions
7.6.4 Edgeimpulse, Inc Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.6.5 Edgeimpulse, Inc Recent Developments
7.7 Hailo
7.7.1 Hailo Profile
7.7.2 Hailo Main Business
7.7.3 Hailo Edge AI for Smart Manufacturing Products, Services and Solutions
7.7.4 Hailo Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.7.5 Hailo Recent Developments
7.8 Ambarella International
7.8.1 Ambarella International Profile
7.8.2 Ambarella International Main Business
7.8.3 Ambarella International Edge AI for Smart Manufacturing Products, Services and Solutions
7.8.4 Ambarella International Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.8.5 Ambarella International Recent Developments
7.9 Ceva Inc
7.9.1 Ceva Inc Profile
7.9.2 Ceva Inc Main Business
7.9.3 Ceva Inc Edge AI for Smart Manufacturing Products, Services and Solutions
7.9.4 Ceva Inc Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.9.5 Ceva Inc Recent Developments
7.10 STMicroelectronics
7.10.1 STMicroelectronics Profile
7.10.2 STMicroelectronics Main Business
7.10.3 STMicroelectronics Edge AI for Smart Manufacturing Products, Services and Solutions
7.10.4 STMicroelectronics Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.10.5 STMicroelectronics Recent Developments
7.11 Infineon
7.11.1 Infineon Profile
7.11.2 Infineon Main Business
7.11.3 Infineon Edge AI for Smart Manufacturing Products, Services and Solutions
7.11.4 Infineon Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.11.5 Infineon Recent Developments
7.12 Lattice Semiconductor
7.12.1 Lattice Semiconductor Profile
7.12.2 Lattice Semiconductor Main Business
7.12.3 Lattice Semiconductor Edge AI for Smart Manufacturing Products, Services and Solutions
7.12.4 Lattice Semiconductor Edge AI for Smart Manufacturing Revenue (US$ Million) & (2020-2025)
7.12.5 Lattice Semiconductor Recent Developments

8 Industry Chain Analysis
8.1 Edge AI for Smart Manufacturing Industrial Chain
8.2 Edge AI for Smart Manufacturing Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Edge AI for Smart Manufacturing Sales Model
8.5.2 Sales Channel
8.5.3 Edge AI for Smart Manufacturing Distributors

9 Research Findings and Conclusion

10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

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