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AI Sensor Market
AI Sensor Market 2023 – 2030 By Application (Automotive, Consumer Electronics, Manufacturing), Sensor Type (Motion, Pressure, Temperature, Optical, Position), Type, Technology (NLP, ML, Computer Vision) - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competive Index & Regional Footprints by MarketDigits
Industry : Electronics & Semiconductors | Pages : 149 Pages | Published On : Dec 2023
The AI sensor market size is estimated to grow from USD 52.5 Billion in 2020 to USD 666.6 Billion by 2027, growing at a CAGR of 43.8% during the forecast year from 2021 to 2027.
AI Sensor Market Size
| Report | Details |
|---|---|
| Market Size Value | USD 52.5 Billion in 2020 |
| Market Size Value | USD 666.6 Billion by 2027 |
| CAGR | 43.8% |
| Forecast Period | 2021-2027 |
| Historic Data | xxxx |
| Segments Covered | xxxx |
| Geographics Covered | North America, Latin America, Europe, Asia-Pacific, Middle East & Africa |
Rise in the adoption of large data, analytics and growing potential of research and development in emergence of artificial intelligence systems and industrial innovations round the globe are the driving factors for AI sensor market. The virtual agent for conversational platform is one of the most used applications in every vertical. Chabots were introduced in every vertical for responding the issues customers might be experiencing due to COVID-19 outbreak over voice, chat, and other social channels. Greater than ever amount of digital data in the form of sound, text, and images from different social media sources is driving the need for data mining and analytics. AI sensor market is bifurcated into type, solution, technology, and end-use. Software sub-segment dominated the market holding the share near 40% globally during the base year. This high share is credited for the sensible improvements in information storage capacity, high computing power, and parallel processing capabilities to convey high-end AI software in dynamic end-use verticals.
AI software solutions take account of libraries for designing and deploying artificial intelligence applications, such as those for sparse matrices, video analytics, primitives, linear algebra, inference, and multiple hardware communication capabilities. Deep learning sub segment led the market and accounted for more than 37% globally during the base year. The neural networks sub segment is anticipated for the largest share of 32% globally. Furthermore, incessant developments in the field of artificial intelligence are enhancing the scope for applications of neural networks. The North America region is found dominant and is expected to be the largest growing region during the forecast period. The adoption of advanced technological developments and introduction of intelligent technologies helps the North America region to lead the AI sensor market during the forecast period. The research covers the current and historic AI sensor market size and its growth trend with company outline of Key players/manufacturers: Amazon.com, Inc., Google LLC, Apple Inc., Facebook, International Business Machines Corporation, Microsoft, Cyrcadia Health, Enlitic, Inc., HyperVerge, Inc., Intel Corporation, Lifegraph, and NVIDIA Corporation, among others.
The AI sensor market research report provides an in-depth overview of the industry including market segmentation by type, solution, technology, end-use and geography. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions. The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Market Scope and Market Size
AI sensor market is segmented by region and further by countries, type, solution, technology, and end-use. Players, stakeholders, and other participants in the global AI sensor market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2021-2027. Report further studies the market development status and future and AI Sensor Market trend across the world. Also, it splits AI sensor market segmentation by type, solution, technology, end-use and region to deep dive research and reveals market profile and prospects.
Major Classifications are as follows:
By Type
- Neural networks
- Case- based reasoning
- Inductive learning
- Ambient- intelligence
- Other
By Solution
- Hardware
- Software
- Services
By Technology
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Machine Vision
By End-use
- Healthcare
- BFSI
- Law
- Advertising and Media
- Automotive and Transportation
- Agriculture
- Manufacturing and Retail
- Health monitoring
- Maintenance and inspection
- Biosensor
- Human- computer interaction
- Others
Reason to purchase this report:
- Determine prospective investment areas based on a detailed trend analysis of the global AI sensor market over the next years.
- Gain an in-depth understanding of the underlying factors driving demand for different and AI sensor market segments in the top spending countries across the world and identify the opportunities offered by each of them.
- Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
- Identify the major channels that are driving the global AI sensor market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
- Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global AI sensor market.
- Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top AI sensor market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
Table of Content:
- EXECUTIVE SUMMARY
- INTRODUCTION
- Key Takeaways
- Report Description
- Market Scope & Definition
- Stakeholders
- Research Methodology
- Market Size
- Key Data Points From Primary Sources
- Key Data Points From Secondary Sources
- List Of Primary Sources
- List Of Secondary Sources
- MARKET OVERVIEW
- Industry Segmentation
- Market Trends Analysis
- Major Funding & Investments
- Market Dynamics
- Drivers
- Restraints
- Opportunities
- Value Chain Analysis
- Pricing Analysis
- IMPACT OF COVID-19 ON AI SENSOR MARKET
- Impact of Covid-19 On AI Sensor Market By Type
- Impact Of Covid-19 On AI Sensor Market By Solution
- Impact Of Covid-19 On AI Sensor Market By Technology
- Impact Of Covid-19 On AI Sensor Market By End-use
- Impact of Covid-19 On AI Sensor Market by Region
- AI SENSOR MARKET, BY TYPE
- Introduction
- Neural networks
- Case- based reasoning
- Inductive learning
- Ambient- intelligence
- Other
- AI SENSOR MARKET, BY SOLUTION
- Hardware
- Software
- Services
- AI SENSOR MARKET, BY TECHNOLOGY
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Machine Vision
- AI SENSOR MARKET, BY END-USE
- Healthcare
- BFSI
- Law
- Advertising and Media
- Automotive and Transportation
- Agriculture
- Manufacturing and Retail
- Health monitoring
- Maintenance and inspection
- Biosensor
- Human- computer interaction
- Others
- AI SENSOR MARKET, BY GEOGRAPHY
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest Of Asia Pacific
- Rest of the World
- Middle East
- Africa
- North America
- COMPETITIVE ANALYSIS
- Introduction
- Top Companies Ranking
- Market Share Analysis
- Recent Developments
- New Product Launch
- Mergers & Acquisitions
- Collaborations, Partnerships & Agreements
- Rewards & Recognition
- COMPANY PROFILES
- com, Inc.
- Google LLC
- Apple Inc.
- International Business Machines Corporation
- Microsoft
- Cyrcadia Health
- Enlitic, Inc.
- HyperVerge, Inc.
- Intel Corporation
- Lifegraph
- NVIDIA Corporation
TOC
Table and Figures
Methodology:
At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.
This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.
The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.
Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.
Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.
In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.
To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.
The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.
In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.
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Covered Key Topics
Growth Opportunities
Market Growth Drivers
Leading Market Players
Company Market Share
Market Size and Growth Rate
Market Trend and Technological
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