Global AI Speech Recognition Chip Market 2024 by Manufacturers, Regions, Type and Application, Forecast to 2030

Global AI Speech Recognition Chip Market 2024 by Manufacturers, Regions, Type and Application, Forecast to 2030


The AI ​​speech recognition chip is a special chip that integrates artificial intelligence (AI) technology and is used to realize the recognition, processing and analysis of speech signals. Such chips usually have high-performance processing power and specialized algorithms that can quickly and accurately recognize and understand human speech.

According to our (Global Info Research) latest study, the global AI Speech Recognition Chip market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.

This report is a detailed and comprehensive analysis for global AI Speech Recognition Chip market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global AI Speech Recognition Chip market size and forecasts, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI Speech Recognition Chip market size and forecasts by region and country, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI Speech Recognition Chip market size and forecasts, by Type and by Application, in consumption value ($ Million), sales quantity (K Units), and average selling prices (US$/Unit), 2019-2030

Global AI Speech Recognition Chip market shares of main players, shipments in revenue ($ Million), sales quantity (K Units), and ASP (US$/Unit), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for AI Speech Recognition Chip

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global AI Speech Recognition Chip market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Bluetrum, Chipintelli, Philips Semiconductors, WayTronic, NXP Semiconductors, Phonexia, Sensory, Vivoka, Novauris Technologies, AONDevices, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market Segmentation

AI Speech Recognition Chip market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Online AI Speech Recognition Chip
Offline AI Speech Recognition Chip

Market segment by Application
Medical Industry
Consumer Electronics Industry
Intelligent Education Industry
Automobile Industry
Others

Major players covered
Bluetrum
Chipintelli
Philips Semiconductors
WayTronic
NXP Semiconductors
Phonexia
Sensory
Vivoka
Novauris Technologies
AONDevices
Intel
Shenzhen Ai-Thinker Technology Co., Ltd.
Advanced Media, Inc.
Crunchbase

Market segment by region, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)

South America (Brazil, Argentina, Colombia, and Rest of South America)

Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)

The content of the study subjects, includes a total of 15 chapters:

Chapter 1, to describe AI Speech Recognition Chip product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top manufacturers of AI Speech Recognition Chip, with price, sales quantity, revenue, and global market share of AI Speech Recognition Chip from 2019 to 2024.

Chapter 3, the AI Speech Recognition Chip competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4, the AI Speech Recognition Chip breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2019 to 2030.

Chapter 5 and 6, to segment the sales by Type and by Application, with sales market share and growth rate by Type, by Application, from 2019 to 2030.

Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2019 to 2024.and AI Speech Recognition Chip market forecast, by regions, by Type, and by Application, with sales and revenue, from 2025 to 2030.

Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.

Chapter 13, the key raw materials and key suppliers, and industry chain of AI Speech Recognition Chip.

Chapter 14 and 15, to describe AI Speech Recognition Chip sales channel, distributors, customers, research findings and conclusion.


1 Market Overview
2 Manufacturers Profiles
3 Competitive Environment: AI Speech Recognition Chip by Manufacturer
4 Consumption Analysis by Region
5 Market Segment by Type
6 Market Segment by Application
7 North America
8 Europe
9 Asia-Pacific
10 South America
11 Middle East & Africa
12 Market Dynamics
13 Raw Material and Industry Chain
14 Shipments by Distribution Channel
15 Research Findings and Conclusion
16 Appendix

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