Rohit Badave

AI Technology will be the Dominating Key Factors in Automotive Industry

2021-02-11T10:00:33.935Z

Artificial Intelligence (AI) in Automotive Market research report provides various levels of analysis such as industry analysis (industry trends), Market share analysis of top players, and company profiles, which together provide an overall view on the competitive landscape; emerging and high-growth segments of the Artificial Intelligence (AI) in Automotive Market; high-growth regions; and Market drivers, restraints, challenges, and opportunities.

The Artificial Intelligence (AI) in Automotive Market report elaborates insights on the Market Diversification (Exhaustive information about new products, untapped regions, and recent developments), Competitive Assessment (In-depth assessment of Market shares, strategies, products, and manufacturing capabilities of leading players in the Artificial Intelligence (AI) in Automotive Market).

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Market segmentation based on the Key Players, Types & Applications.

Artificial Intelligence (AI) in Automotive Market on the basis of Product Type:

Artificial Intelligence (AI) in Automotive Market on the basis of Applications:

Top Key Players in Artificial Intelligence (AI) in Automotive Market:

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It includes analysis on the following Points–

Market Environment: Includes sector size, Market size, and growth analysis by segmentation.
High-potential Countries’ Analysis: Indicates changing share of value consumption in the various segments & sub-segments across high-potential countries globally. The report also provides analysis of Market assessment, economic development, socio-demographic, governance indicators, and technological infrastructure.
Country Deep Dive: Provides the overview, demographic analysis, and key trends across high potential countries.
Competitive Environment: Provides an overview of leading key players, besides analyzing the growth of private labels in the region.
Distribution Analysis: Provides analysis of the leading distribution channels.
Challenges and Future Outlook: Provides the challenges and future outlook pertaining to Artificial Intelligence (AI) in Automotive

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Deep Learning Market Ecosystem 2020 | China attracted investment worth US$ 7.4 Bn in the same year

2020-03-23T10:07:30.358Z

The deep learning market is poised to grow at an excess of 30% CAGR during the forecast period from 2019-2023.

Global Deep Learning Market Analysis
In terms of investments in the field of artificial intelligence & deep learning, the U.S. has overtaken China to grab the topmost spot as a venture capital investment hub. The U.S. attracted the most investment in 2018, accounting for more than 50% of total investments in AI across the globe. The investment figure in the country is expected to grow significantly in the coming years. The growth in investments in the U.S. is fueled by companies such as Cruise Automation, Zymergen, Dataminr with the total investment reaching approximately US$ 14 Bn in 2019. On the other hand, China attracted investment worth US$ 7.4 Bn in the same year.

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What is Deep Learning?
Deep learning is an integral subset of machine learning that has networks capable of learning from unstructured data. Several companies across industries such as retail, healthcare, aerospace & defense, and BFSI, among others, are joining hands with software development companies to use deep learning technology, for saving cost and time and for improving overall efficiency.

Following Top Companies are mentioned in this Deep Learning Market Report:
IBM, Google, Amazon.com, NVIDIA, Intel , etc.

Global Deep Learning Market Outlook
In the report, the market outlook section mainly encompasses fundamental dynamics of the market which include drivers, restraints, opportunities and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
Increasing demands for minimally invasive therapeutics is expected to fuel the market for Deep Learning. Lack of awareness among the population could be a potential restraint which can hamper the growth rate of Global Deep Learning Market.

Market Segmentation:
Market Statistics Glimpse There are many trends that are having an impact on the Deep Learning Market Ecosystem forecast. These, when evaluated from a company’s perspective, can drive growth. Our numerous consulting projects have generated sizeable synergies across all regions and all sizes of companies.

The major players operating in the global deep learning market are as follows:
Key Players Company Ecosystem Positioning Total Revenue Industry Region

IBM Corporation Solution & Service Provider $ 79 Billion Automotive, Aerospace & Defense, BFSI, Public & Social Sector, Healthcare, Retail, etc.

Global Amazon.com Inc. Solution & Service Provider $72.4 Billion Retail Global Google Inc. Solution & Service Provider $136.22 Billion BFSI, Retail, etc.

Global Intel Corporation Hardware Manufacturers and Service Provider $37 Billion Automotive, Telecom, BFSI, Healthcare, Aerospace & Defense, etc.

Global NVIDIA Corporation Hardware Manufacturers and Service Provider $9.7 Billion Healthcare, Retail, Automotive, Public & Social Sector, Telecom, etc.

Global Very few markets have interconnectivity with other markets like deep learning. Our Interconnectivity module focuses on the key nodes of heterogeneous markets in detail. AI processors, AI enabled imaging systems, AI in healthcare, AI in cyber security, 3D printing markets are some of our key researched markets.

Research Methodology of Market Research:
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Reasons to Purchase these Reports
• Provision of market value (USD Billion) data for each segment and sub-segment.
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the Deep Learning Market.
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region.
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled.
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major Deep Learning Market players.
• The current as well as future Deep Learning Market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions.
And more…

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We are a market-intelligence company formed with the objective of providing clients access to the most relevant and accurate research content for their growth needs. At InForGrowth, we understand Research requirements and help a client in taking informed business critical decisions. Given the complexities and interdependencies of market-intelligence, there is always more than one source to explore and arrive at the right answer. Through our smart search feature and our reliable & trusted publishing partners, we are paving way for a more simplified and relevant research.

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AI in Pharmaceutical Market Analysis: Growth Challenges, Opportunities And Forthcoming Developments

2020-03-23T09:18:19.876Z

The report studies the on Global AI in Pharmaceutical Market status and forecast, categorizes the global AI in Pharmaceutical market size (value & volume) by manufacturers (Google LLC., Intel Corporation, Sanofi, Eli Lilly and Company, IBM Corporation, and more), and region.
Description:
Development of AI technology is helping the overall healthcare industry to flourish. A lot of transformations have occurred across various applications such as in diagnosis, advanced medical devices, drug discovery, hospital management, etc. Drug discovery is one of the emerging fields that is playing an important role in the growth of AI in Pharmaceutical Market Ecosystem. Leading pharmaceutical companies are working on deploying AI. Atomwise is one of the leading AI companies that helps top pharmaceutical companies such as Eli Lilly, Merck, Pfizer, etc., in the drug discovery process.

Key Players: Google LLC., Intel Corporation, Sanofi, Eli Lilly and Company, IBM Corporation etc.

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In the year 2019, Eli Lilly has made an agreement to pay Atomwise up to US$ 1Mn per target in discovery milestones. This partnership focuses on speeding up the drug development process that adds Atomwise’s advanced AI analytics over Eli Lilly’s researched molecules. Merck is working with Atomwise’s advanced AI technology that helps scan existing medicines and improve on the molecular design that might help fight diseases. Atomwise Inc. entered an evaluation agreement with Pfizer in 2018 to identify drug candidates for target proteins. This partnership will help Pfizer to analyze target proteins by using AI technology. Such new developments boost the overall growth of AI in pharmaceutical Market ecosystem. According to our estimates, the AI in pharmaceutical Market Ecosystem is expected to witness a growth of approx. 23.1% CAGR from 2018 to 2023.

Other start-ups such as Exscientia, Iktos, Biovista, and others are also fueling the growth of AI in Pharmaceuticals Market. Exscientia is an UK-based startup that offers drug discovery engine powered by AI technology. In 2017, Sanofi collaborated with Exscientia to discover small molecule and bispecific small-molecule candidates and to focus more on developing new drug combinations for diabetes and other metabolic diseases. In the year 2019, the company has collaborated with GSK, especially to focus on therapeutic areas such as cardiovascular, oncology, metabolic diseases, and other infectious diseases. GSK has agreed to pay US$ 43Mn to Exscientia if the 10 disease related target milestones are achieved.

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Apart from drug discovery, AI in pharmaceutical can also be deployed for the clinical trial processes. Technologies like NLP and Machine Learning are used to correlate diverse data from EHR, medical databases, and trial database to speed up clinical trials. Finding the right patients for clinical trials is a huge and time-consuming process for clinicians. IBM Watson uses Natural Language Processing (NLP) to match the patient criteria more accurately using the EHR data and to quickly provide clinicians a ranked list of eligible patient information.

The major players operating in the Global AI in Pharmaceutical Market Ecosystem are as follows:

Company

Ecosystem Positioning

Total Revenue (US$)

Region

Google LLC.

Solution & Service Provider

$136.22 Billion

Global

Intel Corporation

Component Manufacturers

$70.8 Billion

Global

Sanofi

Pharmaceuticals

$38.4Billion

Global

Eli Lilly and Company

Pharmaceuticals

$24.5 Billion

Global

IBM Corporation

Solution & Service Provider

$79 Billion

Global

Very few markets have the interconnectivity with other markets. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Processor, Smartphones, and Cloud Computing are some of our key researched markets.

Ecosystem Report – Table of Content

Introduction

Global AI in Pharmaceutical Market Ecosystem Definition
Scope of study
Research Methodology
Assumptions/ Inferences
Sources

Primary Interviews
Secondary Sources

Key Secondary Webpages
Whitepapers
Annual Reports
Investor/Analyst Presentations

About FABRIC

Executive Summary

Ecosystem Positioning

Global AI in Pharmaceutical Market Ecosystem Snapshot

Global AI in Pharmaceutical Ecosystem Segmentation
.
.

Trend Analysis

Global AI in Pharmaceutical Market Ecosystem Trends

Short Term

And More...

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AI Enabled Smart Trackers Market will Register a Significant CAGR During Period 2020-2027

2020-03-23T06:50:32.538Z

Description:
The Global AI Enabled Smart Trackers Market Ecosystem was valued at US$ 3.2 Bn in 2018 and is expected to reach US$ XX Bn by 2026, growing at a CAGR of 20% during the forecast period. The internet of things is expected to drive the demand for smart tracking wearables in near future. IoT involves machine-to-machine connectivity and communication by cloud platforms, through which data generated by devices gets stored, analyzed, and captured. Wearable devices mainly include fitness wearable, real-time health monitoring wearable sensors, elderly tracker, fetal monitoring wearables, and others.

Key Players: Facebook, Apple, Garmin, Bragi, Xiaomi, Microsoft, HTC, Jabra, Fossil, Huawei, Fitbit, Google, Samsung, and others, etc.

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AI-enabled fitness trackers are expected to grow at the fastest pace during the forecast period. The AI-enabled wearable helps users track their fitness activities as well as provide guidance for food intake. Healthcare is the sector where AI-enabled wearable devices are in large demand. These wearables collect health-related data in order to monitor and provide health related awareness to the users as well as the physicians. Moreover, wearable devices for blind people for detecting obstacles on their path have also been gaining traction in recent days. The wearable developed for blind people uses ultrasounds that notify the wearer about the obstacles in order to enable to safely navigate around objects. Rising demand for AI-enabled smart Bluetooth headphones has also been one of the important factors in driving the growth of the market in recent years.

Major Players Analysis:
The major players in AI-enabled smart trackers are Facebook, Apple, Garmin, Bragi, Xiaomi, Microsoft, HTC, Jabra, Fossil, Huawei, Fitbit, Google, Samsung, and others. The players in the market are mainly focused on mergers and acquisitions, product expansion, partnerships, and other such strategies for increasing their market share. For instance, Huami, a data driven company, announced its agreement with Timex Group, a manufacturing company, in order to develop smartwatch. Owing to this agreement, Huami will combine its app design expertise and AI technology with Timex Group’s manufacturing capabilities in order to build new generation smartwatches.

The AI Enabled Smart Trackers Market Ecosystem development trends and marketing channels are analyzed. Finally, the feasibility of new investment projects are assessed and overall research conclusions offered.

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The major players operating in the Global AI enabled smart trackers ecosystem are as follows:

Table 2: AI enabled smart trackers ecosystem: Key Players

Company Ecosystem Positioning Total Revenue Industry Region

Microsoft Software provider $110.4 Billion Artificial intelligence Global

Google LLC

Software provider $136.22 Billion Artificial intelligence Global

IBM Software provider $ 79.591 Billion Artificial intelligence Global

Amazon Software provider $ 232.887 Billion Artificial intelligence Global

Apple Software provider $ 258.49 Billion Artificial intelligence Global

Major Points Covered in Table of Contents:

The introduction of smart AI-enabled rings has also been one of the factors in accentuating the growth of AI enabled smart trackers ecosystem in recent days. The artificial intelligence user interface embedded in this smart ring enables users to perform a variety of actions, such as controlling IoT devices, handling voice assistance such as Amazon Alexa, and others.

Table 1: AI enabled smart trackers ecosystem: Segmentation

Smart Trackers Type Components Deployment Technology

Smart Ring CPU Cloud Machine Learning

Smart Bluetooth Headphones GPU On-Premise NLP

Smart Fit Bands FPGA Computer Vision

Others ASIC Others

Memory

Others

Global AI enabled smart trackers ecosystem

Based on regions, North America dominated the market in 2018 and is expected to show similar trends in the coming years. Higher capita income of consumers is one the reasons behind the market growth of AI-enabled smart trackers in the region. The presence of major players such as Apple, Xiaomi, Google, and others, is also one of the important factors in driving market growth. Asia Pacific is expected to grow at the fastest pace with a CAGR of XX% during the forecast period. Increasing health-related concerns among the people in the region are driving the AI in smart tracker market in the region. At the same time, high adoption rate of smart wearables among customers in the age group of 16 to 34 years is expected to drive the AI enabled smart trackers market in the APAC region in the coming years.

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Rohit Badave

AI Technology will be the Dominating Key Factors in Automotive Industry

Deep Learning Market Ecosystem 2020 | China attracted investment worth US$ 7.4 Bn in the same year

AI in Pharmaceutical Market Analysis: Growth Challenges, Opportunities And Forthcoming Developments

Very few markets have the interconnectivity with other markets. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Processor, Smartphones, and Cloud Computing are some of our key researched markets. Ecosystem Report – Table of Content

Ecosystem Positioning

Trend Analysis

AI Enabled Smart Trackers Market will Register a Significant CAGR During Period 2020-2027

Very few markets have the interconnectivity with other markets. Our Interconnectivity module focuses on the key nodes of heterogenous markets in detail. Processor, Smartphones, and Cloud Computing are some of our key researched markets.

Ecosystem Report – Table of Content