Machine Learning And Automation Market To 2024: Key Application Categories (Automating Employee Access Control, Predicting, Identifying), End-Use, Regional Segmentation, Competitive Dynamics, M&A Insights, Pricing Analysis (OPP, IPP, RAP) And Segment Forecast

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Global Machine Learning & Automation market is around USD 1.2 Billion in 2015 and expected to grow at CAGR of 45% from 2016 to 2024.

 

The fundamental concept of Machine Learning is that analytical solutions could be built by carefully studying the data models from the past and eventually by studying the data models, trends, patterns, builds automated algorithmic systems. Machine learning has the capability of handling large data volumes; therefore, accelerating end-user access to the insights. With the new levels of cognitive computing, businesses will be in a position to see improved productivity and streamlined operations. Mundane tasks can be easily automated so that resources allocation can be to the innovative part of the businesses. Cognitive computing is another term that can be used to describe machine learning, which has the potential to recognize patterns and learn new material — without being explicitly programmed by a human.

 

Machine learning as a market is yet to be fully understood and its potential is yet to be proven. Nevertheless, there is a continued awareness about the power of machine learning which would drive the market and eventually business ROI.

 

End User Highlights

 

The different end users for the market are Media & Advertising agencies, BFSI (Banking, Finance and Insurance Sector), Telecom& IT Sector, Retail, Healthcare Sector, Automotive Sector and Others. Forecasting demand has been increasingly growing need among modern businesses, and businesses find it increasingly difficult to build a model that could be simple and easily adoptable within a business environment.  Challenges are evident; however, Machine Learning is a technology that has the potential solution for demand forecasting. With the inherent potential to learn from current data, Machine Learning could be of great help in overcoming challenges of demand variations. Machine learning has been successfully implemented into the financial world well before the advent of mobile banking apps, proficient chat bots, or search engines.

 

Due to the inherent nature of the financial markets, where high volume, accurate historical records, and quantitative nature are abundantly available, it makes a perfect candidate for artificial intelligence. Machine learning has been increasingly playing a crucial role in the financial ecosystem, right from approving loans, managing assets, assessing risks, etc. Yet, not everyone is able to take the full advantage of the system and exploit its potential.

 

Growing adoption of Machine Learning systems would gradually erode human potential to fight odds and overcome obstacles. Human race will be highly vulnerable to threats and sudden turn of fortunes. The demand-supply gap in Data Science and Machine Learning skills would prevail until that time till academic programs and industry workshops would being to produce a ready workforce to manage machine learning efficiently.

 

“Optimal Price Point (OPP) for Machine Learning and Automation Market”

 

Estimated Average solution cost – $ xx globally. However, with growing Machine Learning and Automation Market, OPP and range of acceptable Prices (RAP) are going to change. We at Ameri Research continuously track these prices with our proprietary pricing model.

 

Key Market Players Analysis

 

The report covers major industry participants with their Technology Evolution, Key R&D trends, Emerging Technology Analysis and overview. Some of the prominent players of the industry include Augury Systems, Building Robotics, Focusmotion, Neura, IBM Corporation, Honeywell, IBM,  and Google among others.

Chapter 1 Methodology and Scope

  • Research Methodology
  • Research Scope & Assumptions
  • List of Data Sources

Chapter 2 Executive Summary

Chapter 3 Machine Learning & Automation Overview

  • Market Ecosystem
  • Key Stakeholders
  • Industry Trends & Analysis

Chapter 4 Machine Learning & Automation Industry Outlook

  • Market Overview
  • Market Segmentation
  • Market Size & Growth Prospects
  • Market Analysis by Application
    • Automating Employee Access Control
    • Predicting
    • Identifying
    • Others
  • Market Analysis by End-Use
    • Media & Advertising Agencies
    • BFSI
    • Telecom & IT
    • Retail
    • Healthcare
    • Automotive
  • Leading Brand Dynamics
  • Key Market Drivers
    • Expanding application areas
    • Proliferating consumer electronics market
  • Key Market Challenges/ Restraints
    • Lack of skilled personnel
  • Key Market Opportunities
    • Capability to overcome demand variation across diverse businesses
  • Major Trends & Issues
  • Penetration & Growth Prospects
  • Industry Analysis - Porter’s
  • Machine Learning & Automation Market-PESTEL Analysis
  • Technology Landscape

Chapter 5: Pipeline Intelligence

  • Executive Summary
  • Upcoming Products
  • Key R&D Trends
  • M&A Outlook

Chapter 6: Regional Market Outlook

Machine Learning & Automation Market Landscape by Region- 2016
  • North America Market Landscape Analysis, 2014-2024 (USD Mn)
    • U.S. Market Landscape Analysis, 2014-2024
    • Canada Market Landscape Analysis-2014-2024
  • Europe Market Landscape Analysis, 2014-2024 (USD Mn)
    • UK Market Landscape Analysis, 2014-2024
    • Germany Market Landscape Analysis, 2014-2024
    • France Market Landscape Analysis, 2014-2024
    • Italy Market Landscape Analysis, 2014-2024
    • Spain Market Landscape Analysis, 2014-2024
  • Latin America Market Landscape Analysis, 2014-2024 (USD Mn)
    • Brazil Market Landscape Analysis, 2014-2024
    • Mexico Market Landscape Analysis, 2014-2024
    • Colombia Market Landscape Analysis, 2014-2024
  • Asia Pacific Market Landscape Analysis, 2014-2024 (USD Mn)
    • Japan Market Landscape Analysis, 2014-2024
    • China Market Landscape Analysis, 2014-2024
    • India Market Landscape Analysis, 2014-2024
  • Middle East & Africa Market Landscape Analysis, 2014-2024 (USD Mn)
    • Saudi Arabia Market Landscape Analysis, 2014-2024
    • UAE Market Landscape Analysis, 2014-2024

Chapter 7: Pricing Analysis

  Optimal Price Points (OPP), Indifference Price Points (IPP) and Range of Acceptable Prices (RAP) of leading brands and volume estimation by Region- 2016
  • North America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • U.S. Pricing Analysis-2016
    • Canada Pricing Analysis-2016
  • Europe Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • UK Pricing Analysis-2016
    • Germany Pricing Analysis-2016
    • France Pricing Analysis-2016
    • Italy Pricing Analysis-2016
    • Spain Pricing Analysis-2016
  • Latin America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Brazil Pricing Analysis-2016
    • Mexico Pricing Analysis-2016
    • Colombia Pricing Analysis-2016
  • Asia Pacific Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Japan Pricing Analysis-2016
    • China Pricing Analysis-2016
    • India Pricing Analysis-2016
  • Middle East & Africa Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Saudi Arabia Pricing Analysis-2016
    • UAE Pricing Analysis-2016

Chapter 8: Technology Outlook

  • Executive Summary
  • Technology Evolution
  • Key R&D trends
  • Emerging Technology Analysis
  • Technology Crunch

Chapter 9: Competitive Landscape

  • Augury Systems
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Building Robotics
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Focusmotion
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Glassbeam
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Google
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • IBM
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Imagimob
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Microsoft
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Neura
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Sentenai
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • SKYTREE
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Tachyus
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Tellmeplus
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • Veros Systems
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
    List of Tables  
  • TABLE 1 Machine Learning & Automation Market - Industry Snapshot & Key Buying Criteria, 2014 - 2024
  • TABLE 2 Global Machine Learning & Automation Market, 2014 – 2024 (USD Million)
  • TABLE 3 Global Machine Learning & Automation Market by Application, 2014 – 2024 (USD Million)
  • TABLE 4 Global Machine Learning & Automation Market by End-use, 2014 – 2024 (USD Million)
  • TABLE 5 Machine Learning & Automation Market - Key Market Driver Analysis
  • TABLE 6 Machine Learning & Automation Market - Key Market Restraint/ Challenge Analysis
  • TABLE 7 Machine Learning & Automation Market – Key Opportunity Analysis
  • TABLE 8 North America Machine Learning & Automation Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 9 U.S. Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 10 Canada Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 11 Europe Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 12 U.K Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 13 Germany Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 14 France Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 15 Italy Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 16 Spain Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 17 Latin America Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 18 Brazil Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 19 Mexico Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 20 Colombia Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
    • TABLE 23 Asia Pacific Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 21 Japan Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 22 China Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 23 India Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 24 Middle East & Africa Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 25 Saudi Arabia Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 26 UAE Machine Learning & Automation Market Landscape Analysis, 2014-2024 (USD Million)
  • TABLE 27 North America Pricing Analysis
  • TABLE 28 North America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 29 U.S. Pricing Analysis-2016
  • TABLE 30 Canada Pricing Analysis-2016
  • TABLE 31 Europe Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 32 U.K Pricing Analysis-2016
  • TABLE 33 Germany Pricing Analysis-2016
  • TABLE 34 France Pricing Analysis-2016
  • TABLE 35 Italy Pricing Analysis-2016
  • TABLE 36 Spain Pricing Analysis-2016
  • TABLE 37 Latin America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 38 Brazil Pricing Analysis-2016
  • TABLE 39 Mexico Pricing Analysis-2016
  • TABLE 40 Colombia Pricing Analysis-2016
  • TABLE 41 Asia Pacific Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 42 Japan Pricing Analysis-2016
  • TABLE 43 China Pricing Analysis-2016
  • TABLE 44 India Pricing Analysis-2016
  • TABLE 45 Middle East & Africa Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 46 Saudi Arabia Pricing Analysis-2016
  • TABLE 47 UAE Pricing Analysis-2016
  List of Figures-  
  • Machine Learning & Automation Market Segmentation
  • Market Size & Growth Prospects
  • Leading Brand Dynamics
  • Penetration & Growth Prospects
  • Industry Analysis – Porter’s
  • Machine Learning & Automation Market – PESTEL Analysis
  • Machine Learning & Automation Market Share by Application, 2016 & 2024
  • Machine Learning & Automation Market Share by End-Use, 2016 & 2024
  • Machine Learning & Automation Market Share by Region, 2016 & 2024

Key Insights Addressed:  

  • Defining market size from 2014 to 2016.
  • Estimating market growth till 2024 and consequence market forecast.
  • Identifying market drivers, restraints & future opportunities and allowing decision-maker with a range of possible outcomes and the probabilities that will occur for any choice of action.
  • Market segments and regions that will drive or lead market growth.
  • Defining Optimal Price Point (OPP) which will be accepted and recommended by maximum customers.
  • A bird’s-eye view of competitive landscape and the key market players.
  • Key strategic growth driver adopted by market players. In-depth analysis of their strategies and implication on competition & growth.
  Key Findings:  
  • Global Machine Learning and Automation market is around USD 1.2 Billion in 2015 and expected to grow at CAGR of 45% from 2016 to 2024
  • Challenges are evident; however, Machine Learning is a technology that has the potential solution for demand forecasting
  • Due to the inherent nature of the financial markets, where high volume, accurate historical records, and quantitative nature are abundantly available, it makes a perfect candidate for artificial intelligence.

Ameri Research implies a unique methodology of published information and primary research to bring key insights to customer decision making process. Our analytics model helps us to understand the structured and unstructured information from various sources. Key steps involves in the process are as below-

    1. Analyzing Published Information- Access to large pool of paid and unpaid published information via different sources and analyzing market trend.
    2. Setting Foundation- Input from analysis of secondary sources set our foundation to market analysis and helps in setting the scope for further research. Setting the scope involves Ameri Research proprietary statistical model, discussion with industry leaders, internal brain storming, key discussion pointers from various forums etc.
    3. Need Gap Analysis- Defining the gap between our scope and availability of information.
    4. KOL Panel Discussion- Focused Group Discussion with a structured discussion guide to fine tune the gap and deriving the factors driving/restraining the market trend.
    5. Quantitative Research- Sampling large number of industry players, Education/Research Institutes, Government bodies, NGOs, Individual acclaimed researchers and conducting primary interview with a structured questionnaire.
    6. Data Triangulation- We applies bottom-up demand approach or top-down estimation or a combined approach to triangulate the data points.
    7. Analyst Comment- Each of our analyst carry large pool of experience from domain perspective and add their value which are directional in nature
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Description

Global Machine Learning & Automation market is around USD 1.2 Billion in 2015 and expected to grow at CAGR of 45% from 2016 to 2024.

 

The fundamental concept of Machine Learning is that analytical solutions could be built by carefully studying the data models from the past and eventually by studying the data models, trends, patterns, builds automated algorithmic systems. Machine learning has the capability of handling large data volumes; therefore, accelerating end-user access to the insights. With the new levels of cognitive computing, businesses will be in a position to see improved productivity and streamlined operations. Mundane tasks can be easily automated so that resources allocation can be to the innovative part of the businesses. Cognitive computing is another term that can be used to describe machine learning, which has the potential to recognize patterns and learn new material — without being explicitly programmed by a human.

 

Machine learning as a market is yet to be fully understood and its potential is yet to be proven. Nevertheless, there is a continued awareness about the power of machine learning which would drive the market and eventually business ROI.

 

End User Highlights

 

The different end users for the market are Media & Advertising agencies, BFSI (Banking, Finance and Insurance Sector), Telecom& IT Sector, Retail, Healthcare Sector, Automotive Sector and Others. Forecasting demand has been increasingly growing need among modern businesses, and businesses find it increasingly difficult to build a model that could be simple and easily adoptable within a business environment.  Challenges are evident; however, Machine Learning is a technology that has the potential solution for demand forecasting. With the inherent potential to learn from current data, Machine Learning could be of great help in overcoming challenges of demand variations. Machine learning has been successfully implemented into the financial world well before the advent of mobile banking apps, proficient chat bots, or search engines.

 

Due to the inherent nature of the financial markets, where high volume, accurate historical records, and quantitative nature are abundantly available, it makes a perfect candidate for artificial intelligence. Machine learning has been increasingly playing a crucial role in the financial ecosystem, right from approving loans, managing assets, assessing risks, etc. Yet, not everyone is able to take the full advantage of the system and exploit its potential.

 

Growing adoption of Machine Learning systems would gradually erode human potential to fight odds and overcome obstacles. Human race will be highly vulnerable to threats and sudden turn of fortunes. The demand-supply gap in Data Science and Machine Learning skills would prevail until that time till academic programs and industry workshops would being to produce a ready workforce to manage machine learning efficiently.

 

“Optimal Price Point (OPP) for Machine Learning and Automation Market”

 

Estimated Average solution cost – $ xx globally. However, with growing Machine Learning and Automation Market, OPP and range of acceptable Prices (RAP) are going to change. We at Ameri Research continuously track these prices with our proprietary pricing model.

 

Key Market Players Analysis

 

The report covers major industry participants with their Technology Evolution, Key R&D trends, Emerging Technology Analysis and overview. Some of the prominent players of the industry include Augury Systems, Building Robotics, Focusmotion, Neura, IBM Corporation, Honeywell, IBM,  and Google among others.

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