ML Accelerating COVID-19 Research and Identifies Patterns in Data

Machine learning (ML) and artificial intelligence (AI) technologies are being deployed in areas of research to fight the COVID-19 pandemic. This research is being extended toward healthcare and agriculture, as currently these are one of the most essential industries during unprecedented times. ML is being highly publicized since this technology enables computers to mimic human intelligence and ingest large volumes of data in order to identify patterns and insights. Thus, companies in the machine learning market are capitalizing on this opportunity to scale customer communications and speed up COVID-19 research for treatment.

The ML technology is bringing quarantine measures and social distancing in place for employees with the help of remote communication, telemedicine, and food security. The proliferation of ML in virtually all end markets is creating value-grab opportunities for companies in the machine learning market.

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Facial Recognition Systems Acquire Prominence in Banking Sector to Prioritize Assistance

The banking sector is able to convert data samples into new interfaces with the help of machine learning. As such, the machine learning market is predicted to cross the value of US$ 600 Bn by the end of 2030. Nowadays, ML has become a prerequisite feature for any intelligent system in the banking sector. ML is facilitating data-driven predictions that help to generate new business opportunities for individual institutions. ML is gaining popularity as the branch of AI that can be used to improve products and customer services in the banking sector.

Automatic reply predictions for email messages and virtual assistants have become customary in the banking industry. Companies in the machine learning market are innovating in facial recognition systems to capitalize on revenue opportunities in the banking sector. These systems help to prioritize individual data before a consumer approaches a banker in an institution for assistance.

Proper Training for Algorithms Improves Computational Feasibility on Large Datasets

The machine learning market is expected to advance at an explosive CAGR of ~27% during the forecast period. However, the implementation of ML models is emerging as a challenge for companies. For instance, computations with Big Data can lead to issues in processing performance of ML models, thus making even trivial operations expensive. Companies in the machine learning market should provide proper training for algorithms in order to improve computational feasibility on very large datasets.

On the other hand, many business owners have stated that time-consuming deployment of ML is predicted to impede market growth. Hence, software companies are educating business owners to deploy ML models on a small scale to check its feasibility. As such, companies are tapping into incremental opportunities in cybersecurity to help business owners identify fraud and prevent phishing attacks.

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ML Helps to Maintain Equilibrium between Energy Supply and Demand

Renewable energy forecasting and predictions regarding power output are some of the useful applications of machine learning. Forecasting has become necessary in the energy and utilities industry, since key renewable energy sources i.e. wind and solar are variable in nature and are dependent on external factors. Germany is known as the poster child for adoption of renewable energy. However, the intensity of solar radiation and wind speed is never uniform. Hence, companies in the machine learning market are proving their software and services to energy and utilities companies to maintain an equilibrium across energy supply and demand.

The machine learning market is dominated by established players such as IBM. However, emerging market players such as the U.K.-based AI company DeepMind, was recently acquired by Google and is posing as a stiff competition to established market players.

Game-changing Insights on Customer Behavior Benefit Retailers and Telecom Companies

ML models are helping retailers to better understand and analyze customer behavior data, which is collected from various trends, demographics, and preferences. Personalized experiences are becoming increasingly important in the retail industry. With the help of old data, ML models help to predict, which product is worthy of recommendation for customers. The burgeoning growth of the eCommerce sector is acting as a key driver for the expansion of the machine learning market. Retailers are able to analyze digital behavior patterns of customers in order to improve their purchase journey.

Real-time insights powered by ML and AI are grabbing the attention of companies in the IT & telecom sector. Moreover, IoT (Internet of Things) and 5G technologies are fueling the growth of the machine learning market. ML algorithms are being used by telecom companies to track data streaming from a plethora of network interfaces.

Automakers and Digital Operators Adopt ML Tools to Enable Productive Consumer Involvement

Apart from retail and banking, companies in the machine learning market are broadening their revenue streams in automotive and content moderation applications. The trend of autonomous vehicles is gaining strong business grounds worldwide. It has been found that self-driving cars will help to drastically reduce traffic-related issues. Software engineers are relying on ML algorithms to design autonomous features in self-driving cars in order to make the vehicles more consumer-centric.

High accessibility of the Internet and modern technology have led to the outspread of fake news and disinformation. In such situations, content moderation comes into play where ML platforms are enhancing interactions between humans and AI to enable the content moderation task. Social networking platforms and news outlets are adopting ML models to increase human involvement toward productive work. ML tools help to address and analyze the context of every single frame of video content in order to drive content moderation.

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Analysts’ Viewpoint

Healthcare and government institutes are using ML-enabled chatbots for contactless screening of COVID-19 symptoms. With the help of ML tools, banks are using old mathematical challenges to create new computing opportunities. However, issues such as overestimating result delivery and unavailability of data are emerging as hurdles for the widespread adoption of machine learning. Hence, companies in the machine learning market should educate business owners about the use of structured data in order to gain desired outcomes. Renewable energy analysts are using ML models to draw an equilibrium for energy supply and demand. Telecom giants such as AT&T and Vodafone are using machine learning to enhance the quality of their resources.

Machine Learning Market: Overview

  • According to Transparency Market Research’s latest research report on the global machine learning market for the historical period 2018–2019 and the forecast period 2020–2030, the machine learning market is anticipated to reach a value of US$ 604.5 Bn by 2030, expanding at a CAGR of ~27% during the forecast period
  • Machine learning analyzes massive quantities of data. It usually delivers faster and more accurate results in order to identify dangerous risks and profitable opportunities. Merging machine learning (ML) with artificial intelligence and cognitive technologies can make it even more effective in processing large volumes of data and information.
  • Moreover, in the future, applications and tools of machine learning are likely to be adopted by various industry verticals. Technological proliferation and advancement in data generation can trigger the growth of the machine learning market across the globe.

Advent of Self-driving Cars: A Key Driver of Machine Learning Market

  • Self-driving cars have gained incredible popularity in recent years. Developments in Internet of Things (IoT) and AI technology have paved the way for driverless cars. Machine learning is an important component of the centralized electronic control unit (ECU) in a self-driving car. Predicting possible changes in the environment and real-time monitoring of the surroundings are the main functions of machine learning algorithms in self-driving cars.
  • Machine learning algorithms such as unsupervised learning, supervised learning, decision matrix algorithms, and pattern recognition algorithms, are integrated into the functioning of self-driving cars, which, in turn, is likely to accelerate the growth of the machine learning market across the globe.

Key Challenges Faced by Machine Learning Market Players

  • Shortage of skilled professionals may restrain the growth of the machine learning market. Shortage of data scientists with machine learning experience seems to be one of the major concerns in the adoption of machine learning by organizations. Although machine learning software save efforts of data scientists, a professional is required to use data and create the algorithms required for machine learning. Thus, lack of skilled workforce and limited knowledge among end users are expected to hinder the market growth and likely to have a high impact on the market.

Increasing Adoption of Machine Learning Globally

  • Machine learning capabilities are expected to be integrated in more platforms and software in the years to come, enabling organizations to take advantage of them
  • Every company is now becoming a data company, regardless of what an organization does. Traditionally, organizations relied on the availability of structured data to make decisions or predict future outcomes. However, with the explosion of Big Data and machine learning capabilities, it has become possible to analyze unstructured data to make more informed decisions.
  • Rapidity of data generation, availability of huge amount of compute power, and ease of use of new machine learning platforms are projected to lead to more number of applications that make real-time predictions and constantly get better over time
  • Machine learning is expected to have an enormous impact on the environment. It is projected that it will help improve the quality of life of citizens both at home and at work. Additionally, machine learning tools and algorithms will contribute greatly to increase global and industrial competitiveness across all sectors, including large, small, and medium-sized enterprises, and also non-tech industries.

Machine Learning Market: Competition Landscape

  • Detailed profiles of providers of machine learning have been provided in the report to evaluate their financials, key product offerings, recent developments, and strategies
  • Key players operating in the global machine learning market include
  • Amazon Web Services, Inc.,
    • BigML Inc.
    • DeepL GmbH
    • Ersatz Labs Inc.
    • Featurespace Limited
    • FICO
    • Formulate AB
    • German Auto Labs GAL GmbH
    • Google LLC
    • H2O.ai
    • Heuritech
    • Hewlett Packard Enterprise Development LP
    • IBM Corporation
    • InstaDeep Ltd
    • Microsoft Corporation
    • MySales Labs Ltd
    • Oracle Corporation
    • SAP SE
    • SAS Institute Inc.
    • understandAI GmbH

Machine Learning Market: Key Developments

  • Key providers of machine learning, such as Amazon Web Services, Inc., Microsoft Corporation, IBM Corporation, SAP SE, and Google LLC are focusing on the development of machine learning software and services to attract more customers. Some other key developments in the global machine learning market are highlighted below:
  • In April 2019, Google LLC. launched the Google AI Platform. This platform allows machine learning experts to form and run their machine learning models on Google Cloud as well as on premise. The platform is also integrated with machine learning models offered by Google that includes TPUs, Tensor Flow, and TFX tools.
  • In December 2018, Microsoft Corporation launched Azure Machine Learning services, which contain advanced capabilities that are designed to simplify the process of training, building, and deploying machine learning models
  • In November 2017, AWS introduced AWS DeepLens, a deep learning-enabled wireless video camera. AWS DeepLens is integrated with Amazon SageMaker, which helps developers to train their machine learning models over the cloud and deploy them on the DeepLens, which runs the models in real-time on the camera.
  • In the global machine learning market report, we have discussed individual strategies, followed by company profile. The ‘Competition Landscape’ section has been included in the report to provide readers with a dashboard view and company market share analysis of key players operating in the global machine learning market.

Machine Learning Market – Scope of the Report

A latest study collated and published by Transparency Market Research (TMR) analyzes the historical and present-day scenario of the global machine learning market to accurately gauge its potential future development. The study presents detailed information about the important growth factors, restraints, and key trends that are creating the landscape for the future growth of the machine learning market, to identify the opportunistic avenues of the business potential for stakeholders. The report also provides insightful information about how the machine learning market will progress during the forecast period, 2020 - 2030.

The report offers intricate dynamics about the different aspects of the machine learning market, which aids companies operating in the market in making strategic development decisions. TMR’s study also elaborates on the significant changes that are highly anticipated to configure the growth of the machine learning market during the forecast period. It also includes impact analysis of COVID-19 on the machine learning market. The global machine learning market report helps to estimate statistics related to the market progress in terms of value (US$ Bn).

The study covers a detailed segmentation of the machine learning market, along with key information and a competitive outlook. The report mentions the company profiles of key players currently dominating the machine learning market, wherein various developments, expansions, and winning strategies practiced and executed by leading players have been presented in detail. 

Key Questions Answered in TMR’s Report on Machine Learning Market

The report provides detailed information about the machine learning market on the basis of comprehensive research on various factors that play a key role in accelerating the growth potential of the market. Information mentioned in the report answers path-breaking questions for companies that are currently functioning in the market and are looking for innovative ways to create a unique benchmark in the machine learning market, so as to help them formulate successful strategies and take target-driven decisions.

  • How are key market players successfully earning revenue out of machine learning?
  • What will be the Y-o-Y growth of the machine learning market between 2020 and 2030?
  • What are the winning imperatives of market frontrunners in the machine learning market?
  • What are the major drivers and restraints of the market?
  • What will be the size of the machine learning market from 2020 to 2030?
  • Which will be the fastest growing segment in the machine learning market?
  • Which are the leading companies in the machine learning market?
  • What are the strategies of companies operating in the market?

Research Methodology – Machine Learning Market

The research methodology adopted by analysts to compile the machine learning market report is based on detailed primary as well as secondary research. With the help of in-depth insights of industry-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts of the machine learning market. During the primary research phase, analysts interviewed industry stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. On the basis of data obtained through the interviews of genuine resources, analysts have emphasized the changing scenario of the machine learning market. For secondary research, analysts scrutinized numerous annual report publications, white papers, and data of major countries of the world, industry association publications, and company websites to obtain the necessary understanding of the machine learning market.

Machine Learning Market – Segmentation

TMR’s research study assesses the machine learning market on the basis of component, enterprise size, end user, and region. The report presents extensive market dynamics and progressive trends associated with different segments, and how they influence the growth prospects of the machine learning market.

Component

  • Software/Platform
  • Services
    • Professional
  • ML as a Service (MLaaS)

Enterprise Size  

  • Small & Medium Enterprise
  • Large Enterprise

End User

  • BFSI
  • Healthcare
  • Retail & eCommerce
  • IT & Telecom
  • Manufacturing
  • Energy & Utility
  • Government
  • Media & Entertainment
  • Others

Region

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • South America

1. Preface

    1.1. Market Introduction

    1.2. Market Segmentation

    1.3. Key Research Objectives

2. Assumptions and Research Methodology

    2.1. Research Methodolog

        2.1.1. List of Primary and Secondary Sources

    2.2. Key Assumptions for Data Modelling

3. Executive Summary - Global  Machine Learning Market

4. Market Overview

    4.1. Market Definition

    4.2. Market Factor Analysis

        4.2.1. Forecast Factors

        4.2.2. Ecosystem/ Value Chain Analysis

        4.2.3. Market Dynamics (Growth Influencers)

            4.2.3.1. Drivers

            4.2.3.2. Restraints

            4.2.3.3. Opportunities

            4.2.3.4. Impact Analysis of Drivers and Restraints

    4.3. Market Opportunity Assessment

        4.3.1. By Component

        4.3.2. By Enterprise Size

        4.3.3. By End-user

        4.3.4. By Region

    4.4. Competitive Scenario and Trends

        4.4.1. Machine Learning Market Concentration Rate

        4.4.2. Mergers & Acquisitions, Expansions

    4.5. Impact Analysis of COVID-19 on the Machine Learning Market

        4.5.1. By End-user

        4.5.2. End-user Sentiment Analysis: Comparative Analysis on Spending

            4.5.2.1. Increase in Spending

            4.5.2.2. Decrease in Spending

        4.5.3. Short Term and Long Term Impact on the Market

    4.6. Analysis of Machine Learning Market, By Application

        4.6.1. Image & Speech Recognition

        4.6.2. Market Trading

        4.6.3. Traffic Prediction

        4.6.4. Product Recommendation

        4.6.5. Self-driving Vehicles

        4.6.6. Virtual Personal Assistance

        4.6.7. Medical Diagnosis

    4.7. Market Outlook

5. Global  Machine Learning Market Analysis and Forecast

        5.1.1. Market Revenue Analysis (US$ Bn), 2015-2030

            5.1.1.1. Historic Growth Trends, 2015-2019

            5.1.1.2. Forecast Trends, 2020-2030

6. Global  Machine Learning Market Analysis, by Component

    6.1. Key Segment Analysis

    6.2. Machine Learning Market Size (US$ Bn) Forecast, by Component, 2018 - 2030

        6.2.1. Software/ Platform

        6.2.2. Services

            6.2.2.1. Professional

            6.2.2.2. ML as a Service (MLaaS)

7. Global  Machine Learning Market Analysis, by Enterprise Size

    7.1. Key Segment Analysis

    7.2. Machine Learning Market Size (US$ Bn) Forecast, by Enterprise Size, 2018 - 2030

        7.2.1. Small & Medium Enterprises

        7.2.2. Large Enterprises

8. Global  Machine Learning Market Analysis, by End-user

    8.1. Key Segment Analysis

    8.2. Machine Learning Market Size (US$ Bn) Forecast, by End-user, 2018 - 2030

        8.2.1. BFSI

        8.2.2. Healthcare

        8.2.3. Retail & E-commerce

        8.2.4. IT & Telecom

        8.2.5. Manufacturing

        8.2.6. Energy & Utilit

        8.2.7. Government

        8.2.8. Media & Entertainment

        8.2.9. Others

9. Global  Machine Learning Market Analysis and Forecast, By Region

    9.1. Key Findings

    9.2. Machine Learning Market Size (US$ Bn) Forecast, by Region, 2018 - 2030

        9.2.1. North America

        9.2.2. Europe

        9.2.3. Asia Pacific

        9.2.4. Middle East & Africa

        9.2.5. South America

10. North America Machine Learning Market Analysis

    10.1. Regional Outlook

    10.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 - 2030)

        10.2.1. By Component

        10.2.2. By Enterprise Size

        10.2.3. By End-user

    10.3. Machine Learning Market Size (US$ Bn) Forecast, by Country, 2018 - 2030

        10.3.1. U.S.

        10.3.2. Canada

        10.3.3. Mexico

11. Europe Machine Learning Market Analysis and Forecast

    11.1. Regional Outlook

    11.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 - 2030)

        11.2.1. By Component

        11.2.2. By Enterprise Size

        11.2.3. By End-user

    11.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 - 2030

        11.3.1. German

        11.3.2. UK

        11.3.3. France

        11.3.4. Ital

        11.3.5. Spain

        11.3.6. Rest of Europe

12. Asia Pacific Machine Learning Market Analysis and Forecast

    12.1. Regional Outlook

    12.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 - 2030)

        12.2.1. By Component

        12.2.2. By Enterprise Size

        12.2.3. By End-user

    12.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 - 2030

        12.3.1. China

        12.3.2. India

        12.3.3. Japan

        12.3.4. ASEAN

        12.3.5. Rest of APAC

13. Middle East & Africa  Machine Learning Market Analysis and Forecast

    13.1. Regional Outlook

    13.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 - 2030)

        13.2.1. By Component

        13.2.2. By Enterprise Size

        13.2.3. By End-user

    13.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 - 2030

        13.3.1. GCC

        13.3.2. South Africa

        13.3.3. Rest of MEA

14. South America Machine Learning Market Analysis and Forecast

    14.1. Regional Outlook

    14.2. Machine Learning Market Size (US$ Bn) Analysis and Forecast (2018 - 2030)

        14.2.1. By Component

        14.2.2. By Enterprise Size

        14.2.3. By End-user

    14.3. Machine Learning Market Size (US$ Bn) Forecast, by Country & Sub-region, 2018 - 2030

        14.3.1. Brazil

        14.3.2. Rest of South America

15. Competition Landscape

    15.1. Market Competition Matrix, by Prominent Players

    15.2. Market Revenue Share Analysis (%), by Prominent Players (2019)

16. Company Profiles

    16.1. Amazon Web Services, Inc.

        16.1.1. Business Overview

        16.1.2. Product Portfolio

        16.1.3. Geographical Footprint

        16.1.4. Revenue and Strateg

    16.2. BigML Inc.

        16.2.1. Business Overview

        16.2.2. Product Portfolio

        16.2.3. Geographical Footprint

        16.2.4. Revenue and Strateg

    16.3. DeepL GmbH

        16.3.1. Business Overview

        16.3.2. Product Portfolio

        16.3.3. Geographical Footprint

        16.3.4. Revenue and Strateg

    16.4. Ersatz Labs Inc.

        16.4.1. Business Overview

        16.4.2. Product Portfolio

        16.4.3. Geographical Footprint

        16.4.4. Revenue and Strateg

    16.5. Featurespace Limited

        16.5.1. Business Overview

        16.5.2. Product Portfolio

        16.5.3. Geographical Footprint

        16.5.4. Revenue and Strateg

    16.6. FICO

        16.6.1. Business Overview

        16.6.2. Product Portfolio

        16.6.3. Geographical Footprint

        16.6.4. Revenue and Strateg

    16.7. Formulate AB

        16.7.1. Business Overview

        16.7.2. Product Portfolio

        16.7.3. Geographical Footprint

        16.7.4. Revenue and Strateg

    16.8. German Auto Labs GAL GmbH

        16.8.1. Business Overview

        16.8.2. Product Portfolio

        16.8.3. Geographical Footprint

        16.8.4. Revenue and Strateg

    16.9. Google LLC

        16.9.1. Business Overview

        16.9.2. Product Portfolio

        16.9.3. Geographical Footprint

        16.9.4. Revenue and Strateg

    16.10. H2O.ai

        16.10.1. Business Overview

        16.10.2. Product Portfolio

        16.10.3. Geographical Footprint

        16.10.4. Revenue and Strateg

    16.11. Heuritech

        16.11.1. Business Overview

        16.11.2. Product Portfolio

        16.11.3. Geographical Footprint

        16.11.4. Revenue and Strateg

    16.12. Hewlett Packard Enterprise Development LP

        16.12.1. Business Overview

        16.12.2. Product Portfolio

        16.12.3. Geographical Footprint

        16.12.4. Revenue and Strateg

    16.13. IBM Corporation

        16.13.1. Business Overview

        16.13.2. Product Portfolio

        16.13.3. Geographical Footprint

        16.13.4. Revenue and Strateg

    16.14. InstaDeep Ltd

        16.14.1. Business Overview

        16.14.2. Product Portfolio

        16.14.3. Geographical Footprint

        16.14.4. Revenue and Strateg

    16.15. Microsoft Corporation

        16.15.1. Business Overview

        16.15.2. Product Portfolio

        16.15.3. Geographical Footprint

        16.15.4. Revenue and Strateg

    16.16. MySales Labs Ltd

        16.16.1. Business Overview

        16.16.2. Product Portfolio

        16.16.3. Geographical Footprint

        16.16.4. Revenue and Strateg

    16.17. Oracle Corporation

        16.17.1. Business Overview

        16.17.2. Product Portfolio

        16.17.3. Geographical Footprint

        16.17.4. Revenue and Strateg

    16.18. SAP SE

        16.18.1. Business Overview

        16.18.2. Product Portfolio

        16.18.3. Geographical Footprint

        16.18.4. Revenue and Strateg

    16.19. SAS Institute Inc.

        16.19.1. Business Overview

        16.19.2. Product Portfolio

        16.19.3. Geographical Footprint

        16.19.4. Revenue and Strateg

    16.20. understandAI GmbH

        16.20.1. Business Overview

        16.20.2. Product Portfolio

        16.20.3. Geographical Footprint

        16.20.4. Revenue and Strateg

    17. Key Takeaways

List of Tables

Table 1: Global Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 2: Global Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 3: Global Machine Learning Market Revenue (US$ Bn)  Forecast, by End-user, 2018 – 2030

Table 4: Global Machine Learning Market Revenue (US$ Bn) and Forecast, by Region 2018 – 2030

Table 5: North America Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 6: North America Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 7: North America Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 8: North America Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 9: U.S. Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 10: U.S. Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 11: U.S. Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 12: U.S. Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 13: Canada Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 14: Canada Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 15: Canada Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 16: Canada Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 17: Mexico Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 18: Mexico Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 19: Mexico Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 20: Mexico Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 21: Europe Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 22: Europe Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 23: Europe Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 24: Europe Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 25: Germany Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 26: Germany Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 27: Germany Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 28: Germany Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 29: U.K. Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 30: U.K. Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 31: U.K. Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 32: U.K. Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 33: France Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 34: France Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 35: France Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 36: France Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 37: Italy Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 38: Italy Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 39: Italy Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 40: Italy Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 41: Spain Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 42: Spain Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 43: Spain Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 44: Spain Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 45: Asia Pacific Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 46: Asia Pacific Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 47: Asia Pacific Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 48: Asia Pacific Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 49: China Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 50: China Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 51: China Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 52: China Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 53: India Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 54: India Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 55: India Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 56: India Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 57: Japan Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 58: Japan Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 59: Japan Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 60: Japan Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 61: ASEAN Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 62: ASEAN Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 63: ASEAN Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 64: ASEAN Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 65: Middle East & Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 66: Middle East & Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 67: Middle East & Africa Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 68: Middle East & Africa Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 69: GCC Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 70: GCC Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 71: GCC Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 72: GCC Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 73: South Africa Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 74: South Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 75: South Africa Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 76: South Africa Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 77: South America Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 78: South America Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 79: South America Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

Table 80: South America Machine Learning Market Value (US$ Bn) Forecast, by Country, 2018 - 2030

Table 81: Brazil Machine Learning Revenue CAGR Breakdown (%), by Growth Term

Table 82: Brazil Machine Learning Market Revenue (US$ Bn) Forecast, by Component , 2018-2030

Table 83: Brazil Machine Learning Market Revenue (US$ Bn) Forecast, by Enterprise Size , 2018-2030

Table 84: Brazil Machine Learning Market Revenue (US$ Bn) and Forecast, by End-user, 2018 – 2030

List of Figures

Figure 1: Global Machine Learning Market Y-o-Y Growth (Revenue %) Forecast, 2020 - 2030

Figure 2: Global  Machine Learning Market Revenue Opportunity (US$ Bn) Forecast, 2020 - 2030

 Figure 3: Global Machine Learning  Market Opportunity Share Analysis, By Segment

Figure 4: Global Machine Learning Market Revenue Forecast, by Region, 2020–2030

Figure 5: Regional Outline - CAGR, by Region, 2020-2030

Figure 6: Global Machine Learning Market Attractiveness Assessment, by Component

Figure 7: Global Machine Learning Market Attractiveness Assessment, by Enterprise Size

 Figure 8: Global Machine Learning Market Attractiveness Assessment, by End-user

 Figure 9: Global Machine Learning Market Attractiveness Assessment, by Region

Figure 10: Global Machine Learning Market, by Component, CAGR (Value %) (2020 – 2030)

Figure 11: Global Machine Learning Market, by Enterprise Size, CAGR (Value %) (2020 – 2030)

Figure 12: Global Machine Learning Market, by End-User, CAGR (Value %) (2020 – 2030)

Figure 13: Global Machine Learning Market, by Region, CAGR (Value %) (2020 – 2030)

Figure 14: Global Machine Learning Market Historic Growth Trends (US$ Bn ), 2015 – 2019

Figure 15: Global Machine Learning Market Y-o-Y Growth (Value %), 2015 – 2019

Figure 16: Global Machine Learning Market Forecast Trends (US$ Bn), 2020 - 2030

Figure 17: Global Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 18: Global Machine Learning Market Value Share Analysis, by Component, 2020

Figure 19: Global Machine Learning Market Value Share Analysis, by Component, 2030

Figure 20: Global Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 21: Global Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 22: Global Machine Learning Market Share Analysis, by End-user, 2020

Figure 23: Global Machine Learning Market Share Analysis, by End-user, 2030

Figure 24: Global Machine Learning Market, Growth Opportunity Analysis, By Region, 2020- 2030

Figure 25: Global Machine Learning Market Share Analysis, by Region, 2020

Figure 26: Global Machine Learning Market Share Analysis, by Region, 2030

Figure 27: North America Machine Learning Market Size (US$ Bn) and Y-o-Y Growth (%) Forecast, 2020 – 2030

Figure 28: North America Machine Learning Market Value Share Analysis, by Component, 2020

Figure 29: North America Machine Learning Market Value Share Analysis, by Component, 2030

Figure 30: North America Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 31: North America Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 32: North America Machine Learning Market Share Analysis, by End-user, 2020

Figure 33: North America Machine Learning Market Share Analysis, by End-user, 2030

Figure 34: North America Machine Learning Market Value Share Analysis, by Country, 2020

Figure 35: North America Machine Learning Market Value Share Analysis, by Country, 2030

Figure 36: U.S. Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 37: U.S. Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 38: U.S. Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 39: U.S. Machine Learning Market Value Share Analysis, by Component, 2020

Figure 40: U.S. Machine Learning Market Value Share Analysis, by Component, 2030

Figure 41: U.S. Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 42: U.S. Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 43: U.S. Machine Learning Market Share Analysis, by End-user, 2020

Figure 44: U.S. Machine Learning Market Share Analysis, by End-user, 2030

Figure 45: Canada Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 46: Canada Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 47: Canada Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 48: Canada Machine Learning Market Value Share Analysis, by Component, 2020

Figure 49: Canada Machine Learning Market Value Share Analysis, by Component, 2030

Figure 50: Canada Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 51: Canada Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 52: Canada Machine Learning Market Share Analysis, by End-user, 2020

Figure 53: Canada Machine Learning Market Share Analysis, by End-user, 2030

Figure 54: Mexico Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 55: Mexico Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 56: Mexico Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 57: Mexico Machine Learning Market Value Share Analysis, by Component, 2020

Figure 58: Mexico Machine Learning Market Value Share Analysis, by Component, 2030

Figure 59: Mexico Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 60: Mexico Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 61: Mexico Machine Learning Market Share Analysis, by End-user, 2020

Figure 62: Mexico Machine Learning Market Share Analysis, by End-user, 2030

Figure 63: Europe Machine Learning Market Size (US$ Bn) and Y-o-Y Growth (%) Forecast, 2020 – 2030

Figure 64: Europe Machine Learning Market Value Share Analysis, by Component, 2020

Figure 65: Europe Machine Learning Market Value Share Analysis, by Component, 2030

Figure 66: Europe Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 67: Europe Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 68: Europe Machine Learning Market Share Analysis, by End-user, 2020

Figure 69: Europe Machine Learning Market Share Analysis, by End-user, 2030

Figure 70: Europe Machine Learning Market Value Share Analysis, by Country, 2020

Figure 71: Europe Machine Learning Market Value Share Analysis, by Country, 2030

Figure 72: Germany Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 73: Germany Machine Learning Market Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 74: Germany Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 75: Germany Machine Learning Market Value Share Analysis, by Component, 2020

Figure 76: Germany Machine Learning Market Value Share Analysis, by Component, 2030

Figure 77: Germany Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 78: Germany Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 79: Germany Machine Learning Market Share Analysis, by End-user, 2020

Figure 80: Germany Machine Learning Market Share Analysis, by End-user, 2030

Figure 81: U.K. Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 82: U.K. Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 83: U.K. Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 84: U.K. Machine Learning Market Value Share Analysis, by Component, 2020

Figure 85: U.K. Machine Learning Market Value Share Analysis, by Component, 2030

Figure 86: U.K. Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 87: U.K. Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 88: U.K. Machine Learning Market Share Analysis, by End-user, 2020

Figure 89: U.K. Machine Learning Market Share Analysis, by End-user, 2030

Figure 90: France Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 91: France Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 92: France Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 93: France Machine Learning Market Value Share Analysis, by Component, 2020

Figure 94: France Machine Learning Market Value Share Analysis, by Component, 2030

Figure 95: France Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 96: France Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 97: France Machine Learning Market Share Analysis, by End-user, 2020

Figure 98: France Machine Learning Market Share Analysis, by End-user, 2030

Figure 99: Italy Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 100: Italy Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 101: Italy Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 102: Italy Machine Learning Market Value Share Analysis, by Component, 2020

Figure 103: Italy Machine Learning Market Value Share Analysis, by Component, 2030

Figure 104: Italy Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 105: Italy Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 106: Italy Machine Learning Market Share Analysis, by End-user, 2020

Figure 107: Italy Machine Learning Market Share Analysis, by End-user, 2030

Figure 108: Spain Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 109: Spain Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 110: Spain Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 111: Spain Machine Learning Market Value Share Analysis, by Component, 2020

Figure 112: Spain Machine Learning Market Value Share Analysis, by Component, 2030

Figure 113: Spain Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 114: Spain Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 115: Spain Machine Learning Market Share Analysis, by End-user, 2020

Figure 116: Spain Machine Learning Market Share Analysis, by End-user, 2030

Figure 117: Asia Pacific Machine Learning Market Size (US$ Bn) and Y-o-Y Growth (%) Forecast, 2020 – 2030

Figure 118: Asia Pacific Machine Learning Market Value Share Analysis, by Component, 2020

Figure 119: Asia Pacific Machine Learning Market Value Share Analysis, by Component, 2030

Figure 120: Asia Pacific Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 121: Asia Pacific Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 122: Asia Pacific Machine Learning Market Share Analysis, by End-user, 2020

Figure 123: Asia Pacific Machine Learning Market Share Analysis, by End-user, 2030

Figure 124: Asia Pacific Machine Learning Market Value Share Analysis, by Country, 2020

Figure 125: Asia Pacific Machine Learning Market Value Share Analysis, by Country, 2030

Figure 126: China Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 127: China Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 128: China Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 129: China Machine Learning Market Value Share Analysis, by Component, 2020

Figure 130: China Machine Learning Market Value Share Analysis, by Component, 2030

Figure 131: China Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 132: China Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 133: China Machine Learning Market Share Analysis, by End-user, 2020

Figure 134: China Machine Learning Market Share Analysis, by End-user, 2030

Figure 135: India Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 136: India Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 137: India Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 138: India Machine Learning Market Value Share Analysis, by Component, 2020

Figure 139: India Machine Learning Market Value Share Analysis, by Component, 2030

Figure 140: India Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 141: India Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 142: India Machine Learning Market Share Analysis, by End-user, 2020

Figure 143: India Machine Learning Market Share Analysis, by End-user, 2030

Figure 144: Japan Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 145: Japan Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 146: Japan Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 147: Japan Machine Learning Market Value Share Analysis, by Component, 2020

Figure 148: Japan Machine Learning Market Value Share Analysis, by Component, 2030

Figure 149: Japan Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 150: Japan Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 151: Japan Machine Learning Market Share Analysis, by End-user, 2020

Figure 152: Japan Machine Learning Market Share Analysis, by End-user, 2030

Figure 153: ASEAN Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 154: ASEAN Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 155: ASEAN Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 156: ASEAN Machine Learning Market Value Share Analysis, by Component, 2020

Figure 157: ASEAN Machine Learning Market Value Share Analysis, by Component, 2030

Figure 158: ASEAN Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 159: ASEAN Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 160: ASEAN Machine Learning Market Share Analysis, by End-user, 2020

Figure 161: ASEAN Machine Learning Market Share Analysis, by End-user, 2030

Figure 162: Middle East & Africa Machine Learning Market Size (US$ Bn) and Y-o-Y Growth (%) Forecast, 2020 – 2030

Figure 163: Middle East & Africa Machine Learning Market Value Share Analysis, by Component, 2020

Figure 164: Middle East & Africa Machine Learning Market Value Share Analysis, by Component, 2030

Figure 165: Middle East & Africa Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 166: Middle East & Africa Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 167: Middle East & Africa Machine Learning Market Share Analysis, by End-user, 2020

Figure 168: Middle East & Africa Machine Learning Market Share Analysis, by End-user, 2030

Figure 169: Middle East & Africa Machine Learning Market Value Share Analysis, by Country, 2020

Figure 170: Middle East & Africa Machine Learning Market Value Share Analysis, by Country, 2030

Figure 171: GCC Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 172: GCC Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 173: GCC Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 174: GCC Machine Learning Market Value Share Analysis, by Component, 2020

Figure 175: GCC Machine Learning Market Value Share Analysis, by Component, 2030

Figure 176: GCC Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 177: GCC Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 178: GCC Machine Learning Market Share Analysis, by End-user, 2020

Figure 179: GCC Machine Learning Market Share Analysis, by End-user, 2030

Figure 180: South Africa Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 181: South Africa Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 182: South Africa Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 183: South Africa Machine Learning Market Value Share Analysis, by Component, 2020

Figure 184: South Africa Machine Learning Market Value Share Analysis, by Component, 2030

Figure 185: South Africa Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 186: South Africa Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 187: South Africa Machine Learning Market Share Analysis, by End-user, 2020

Figure 188: South Africa Machine Learning Market Share Analysis, by End-user, 2030

Figure 189: South America Machine Learning Market Size (US$ Bn) and Y-o-Y Growth (%) Forecast, 2020 – 2030

Figure 190: South America Machine Learning Market Value Share Analysis, by Component, 2020

Figure 191: South America Machine Learning Market Value Share Analysis, by Component, 2030

Figure 192: South America Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 193: South America Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 194: South America Machine Learning Market Share Analysis, by End-user, 2020

Figure 195: South America Machine Learning Market Share Analysis, by End-user, 2030

Figure 196: South America Machine Learning Market Value Share Analysis, by Country, 2020

Figure 197: South America Machine Learning Market Value Share Analysis, by Country, 2030

Figure 198: Brazil Machine Learning Market Forecast Trends (US$ Bn ), 2020 - 2030

Figure 199: Brazil Machine Learning Market Y-o-Y Growth (Value %), 2020 - 2030

Figure 200: Brazil Machine Learning Market Opportunity Growth Analysis (US$ Bn) Forecast, 2020 – 2030

Figure 201: Brazil Machine Learning Market Value Share Analysis, by Component, 2020

Figure 202: Brazil Machine Learning Market Value Share Analysis, by Component, 2030

Figure 203: Brazil Machine Learning Market Value Share Analysis, by Enterprise Size , 2020

 Figure 204: Brazil Machine Learning Market Value Share Analysis, by Enterprise Size , 2030

Figure 205: Brazil Machine Learning Market Share Analysis, by End-user, 2020

Figure 206: Brazil Machine Learning Market Share Analysis, by End-user, 2030

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