Machine Learning Market Size, Segmentation and Analysis Report 2028

Machine Learning Market to 2025 - Global Analysis and Forecasts by Services (Human Resource, E-Commerce, Finance and Accounting, Customer Care. Sales & Marketing, and Others); and Vertical (BFSI, Telecom & IT, Healthcare, Automotive, Manufacturing, Food and Beverage, Power & Energy, Consumer Electronics, and Others)

Publication Month : Feb 2018

  • Report Code : TIPTE100000804
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 221
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The machine learning market expected to grow from US$ 1,582.9 million in 2017 to US$ 39,986.7 million by 2025; it is estimated to grow at a CAGR of 49.7% from 2017 to 2025.

Availability of massive amount of data is attributing to the growth of the market. The availability of massive amount of data from different data sources is one of the key reasons, which has fueled the growth of machine learning technology. This huge increase in amount of data growing exponentially year-on-year has resulted due to the proliferation of sensors measuring great quantity of data at different parameters.  Similarly, with the advancement of IoT, which enabled internet connectivity to a diverse range of devices with embedded technology to communicate and interact with the external environment, the connected devices are increasing exponentially. These connected devices communicates and continuously generating mammoth amount of data every second.


Also, with the advancement in the computing and storage technology, the computing power has increased multi-fold during the last decade. This has created new capabilities for managing and computing the big sets of data and when coupled with machine learning technology, has delivered best insights to the businesses.

Lucrative Regions in Machine Learning Market

Lucrative Regions in Machine Learning Market

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Market Insights–Machine Learning Market

Adoption of robotic process automation

Surging demand for machine learning is aligned with the progression in global market for Robotic Process Automation (RPA). This is majorly because, RPA along with other digital disruptors comprising of digital labor and advanced software automation is anticipated to significantly drive the new generation of Cloud based facilities that offer virtual workforce. Furthermore, the RPA-enabled machine learning are also expected to move the business services to labor elimination from large – scale and shared – scale labor reduction, accompanied by substantial cost reduction.


Solution-Based Insights

Based on solution, the machine learning market is segmented into software services. The software segment held the largest market share in 2016.

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Machine Learning Market: Strategic Insights

machine-learning-market
Market Size Value inUS$ 1,582.9 Million in 2017
Market Size Value byUS$ 39,986.7 Million by 2025
Growth rateCAGR of 49.7% from 2017-2025
Forecast Period2017-2025
Base Year2017
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Players operating in the machine learning market are mainly focused on the development of advanced and efficient products.

  • In 2017, Amazon Web Services launched a new AWS EU (Paris) Region. This enable users to run the applications and to store content in data centers available in France. AWS also have 49 Availability Zones throughout in its 18 technology infrastructure regions.
  • In 2017, FICO alliance with UBS Card Center (Switzerland) to stop fraud with the help of AI and machine learning. The challenge was solved with the help of FICO Falcon Platform which is the leading card fraud solution by protecting 2.6 billion payment cards.

The machine learning market has been segmented as follows:

Machine Learning Market – by Solution

  • Software
  • Services

Machine Learning Market – by Deployment Type                                              

  • Cloud/MLaaS
  • On-Premises

Machine Learning Market – by End-User    

  • BFSI
  • Retail
    • Customer Experience & Insight
    • Supply & Demand Planning
    • Others
  • Healthcare
  • Manufacturing
  • Government
    • Fraud & Improper Payments
    • Public Safety & Security
  • Others

Machine Learning Market – by Geography

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • U.K
  • Asia Pacific (APAC)
    • Japan
    • China
    • Australia
    • India
  • Middle East and Africa (MEA)
    • Saudi Arabia
    • UAE
    • South Africa
  • South America (SAM)
    • Brazil

Machine Learning Market – Company Profiles

  • Amazon Web Services, Inc.
  • BigML, Inc.
  • Fair Isaac Corporation
  • Google Inc.
  • H2O.ai
  • Hewlett Packard Enterprise
  • IBM Corporation
  • Microsoft Corporation
  • SAP SE
  • SAS Institute Inc.
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

Services ; and Vertical

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

US, Canada, Mexico, UK, Germany, Spain, Italy, France, India, China, Japan, South Korea, Australia, UAE, Saudi Arabia, South Africa, Brazil, Argentina

Table of Contents

1 Table of Contents 2
1.1 List of Tables 11
1.2 List of Figures 14
2 Introduction 19
2.1 Scope of the Study 19
2.2 The Insight Partners Research Report Guidance 19
3 Key Takeaways 21
4 Machine Learning Market Landscape 24
4.1 Market Overview 24
4.2 Market Segmentation 25
4.2.1 Global Machine Learning Market – By Solution 26
4.2.2 Global Machine Learning Market – By Deployment Type 27
4.2.3 Global Machine Learning Market – By End-User 27
4.2.4 Global Machine Learning Market – By Geography 28
4.3 PEST Analysis 29
4.4 PEST Analysis 29
4.4.1 North America PEST Analysis 29
4.4.2 Europe PEST Analysis 32
4.4.3 Asia Pacific PEST Analysis 35
4.4.4 Middle East & Africa PEST Analysis 37
4.4.5 South America PEST Analysis 40
5 Global Market – Key Industry Dynamics 42
5.1 Key Market Drivers 42
5.1.1 Availability of massive amount of data 42
5.1.2 Demand for superior customer service, efficient operations and improve sales revenue 42
5.2 Key Market Restraints 43
5.2.1 Rising concerns regarding data security and governance 43
5.2.2 Lack of cloud infrastructure in third world countries 43
5.3 Key Market Opporunities 44
5.3.1 Rising adoption of cloud-based machine learning computing 44
5.4 Future Trends 44
5.4.1 Adoption of robotic process automation 44
5.5 Impact Analysis of Drivers and Restraints 45
6 Machine Learning Market – Global 46
6.1 Global Machine Learning Market Overview 46
6.2 Global Machine Learning Market Forecast and Analysis 46
7 Global Machine Learning Market Analysis – By Solution 48
7.1 Overview 48
7.2 Software 49
7.2.1 Overview 49
7.2.2 Global Software Market Revenue and Forecasts to 2025 (US$ Mn) 49
7.3 Services 51
7.3.1 Overview 51
7.3.2 Service Market Revenue and Forecasts to 2025 (US$ Mn) 51
8 Global Machine Learning Market Analysis – By Deployment Type 53
8.1 Overview 53
8.2 Cloud/MLaaS 54
8.2.1 Overview 54
8.2.2 Global Cloud/MLaaS Market Revenue and Forecasts to 2025 (US$ Mn) 54
8.3 On-premise 56
8.3.1 Overview 56
8.3.2 On-Premise Market Revenue and Forecasts to 2025 (US$ Mn) 56
9 Global Machine Learning Market Analysis – By End-User 58
9.1 Overview 58
9.2 BFSI 59
9.2.1 Overview 59
9.2.2 Global BFSI Market Revenue and Forecasts to 2025 (US$ Mn) 59
9.2.3 Machine Learning Market Breakdown by BFSI 60
9.2.3.1 Risk Management Compliance 61
9.2.3.1.1 Overview 61
9.2.3.1.2 Global Risk Management Compliance Market Revenue and Forecasts to 2025 (US$ Mn) 61
9.2.3.2 Predictive Customer Analytics 62
9.2.3.2.1 Overview 62
9.2.3.2.2 Global Predictive Customer Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 62
9.2.3.3 Algorithm Trading 63
9.2.3.3.1 Overview 63
9.2.3.3.2 Global Algorithm Trading Market Revenue and Forecasts to 2025 (US$ Mn) 64
9.2.3.4 Others 64
9.2.3.4.1 Overview 64
9.2.3.4.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 64
9.3 Retail 66
9.3.1 Overview 66
9.3.2 Global Retail Market Revenue and Forecasts to 2025 (US$ Mn) 66
9.3.3 Machine Learning Market Breakdown by Retail 67
9.3.3.1 Customer Experience & Insight 68
9.3.3.1.1 Overview 68
9.3.3.1.2 Global Customer Experience & Insight Market Revenue and Forecasts to 2025 (US$ Mn) 68
9.3.3.2 Supply & Demand Planning 69
9.3.3.2.1 Overview 69
9.3.3.2.2 Global Supply & Demand Planning Market Revenue and Forecasts to 2025 (US$ Mn) 69
9.3.3.3 Others 70
9.3.3.3.1 Overview 70
9.3.3.3.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 70
9.4 Healthcare 72
9.4.1 Overview 72
9.4.2 Global Healthcare Market Revenue and Forecasts to 2025 (US$ Mn) 72
9.4.3 Machine Learning Market Breakdown by Healthcare 73
9.4.3.1 Diagnosis and Treatment Systems 74
9.4.3.1.1 Overview 74
9.4.3.1.2 Global Diagnosis and Treatment Systems Market Revenue and Forecasts to 2025 (US$ Mn) 74
9.4.3.2 Image Analytics & Diagnosis 75
9.4.3.2.1 Overview 75
9.4.3.2.2 Global Image Analytics & Diagnosis Market Revenue and Forecasts to 2025 (US$ Mn) 76
9.4.3.3 Others 76
9.4.3.3.1 Overview 76
9.4.3.3.2 Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 77
9.5 Manufacturing 78
9.5.1 Overview 78
9.5.2 Global Manufacturing Market Revenue and Forecasts to 2025 (US$ Mn) 78
9.5.3 Machine learning Market Breakdown by Manufacturing 79
9.5.3.1 Predictive Maintenance 80
9.5.3.1.1 Overview 80
9.5.3.1.2 Global Predictive Maintenance Market Revenue and Forecasts to 2025 (US$ Mn) 80
9.5.3.2 Supply Chain Management 81
9.5.3.2.1 Overview 81
9.5.3.2.2 Global Supply Chain Management Market Revenue and Forecasts to 2025 (US$ Mn) 81
9.6 Government 82
9.6.1 Overview 82
9.6.2 Global Government Market Revenue and Forecasts to 2025 (US$ Mn) 82
9.6.3 Machine Learning Market Breakdown by Government 83
9.6.3.1 Fraud & Improper Payments 84
9.6.3.1.1 Overview 84
9.6.3.1.2 Global Fraud & Improper Payments Market Revenue and Forecasts to 2025 (US$ Mn) 84
9.6.3.2 Public Safety & Security 85
9.6.3.2.1 Overview 85
9.6.3.2.2 Global Public Safety & Security Market Revenue and Forecasts to 2025 (US$ Mn) 85
10 Global Machine Learning Market – Geographical Analysis 87
10.1 Overview 87
10.2 North America Machine Learning Market Revenue and Forecasts to 2025 88
10.2.1 Overview 88
10.2.2 North America Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 88
10.2.3 North America Machine Learning Market Breakdown by Key Countries 89
10.2.3.1 US Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 90
10.2.3.2 Canada Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 91
10.2.3.3 Mexico Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 92
10.2.4 North America Machine Learning Market Breakdown by Solution 92
10.2.5 North America Machine Learning Market Breakdown by Deployment Type 93
10.2.6 North America Machine Learning Market Breakdown by End-User 94
10.2.7 North America Machine Learning Market Breakdown by BFSI 96
10.2.8 North America Machine Learning Market Breakdown by Retail 97
10.2.9 North America Machine Learning Market Breakdown by Healthcare 98
10.2.10 North America Machine Learning Market Breakdown by Manufacturing 99
10.2.11 North America Machine Learning Market Breakdown by Government 100
10.3 Europe Machine Learning Market Revenue and Forecasts to 2025 101
10.3.1 Overview 101
10.3.2 Europe Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 101
10.3.3 Europe Machine Learning Market Breakdown by Key Countries 102
10.3.3.1 France Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 103
10.3.3.2 Germany Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 104
10.3.3.3 Italy Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 105
10.3.3.4 Spain Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 106
10.3.3.5 UK Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 107
10.3.3.6 Rest of Europe Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 108
10.3.4 Europe Machine Learning Market Breakdown by Solution 109
10.3.5 Europe Machine Learning Market Breakdown by Deployment Type 110
10.3.6 Europe Machine Learning Market Breakdown by End-User 110
10.3.7 Europe Machine Learning Market Breakdown by BFSI 112
10.3.8 Europe Machine Learning Market Breakdown by Retail 113
10.3.9 Europe Machine Learning Market Breakdown by Healthcare 114
10.3.10 Europe Machine Learning Market Breakdown by Manufacturing 115
10.3.11 Europe Machine Learning Market Breakdown by Government 116
10.4 Asia pacific machine learning Market Revenue and Forecasts to 2025 117
10.4.1 Overview 117
10.4.2 Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 117
10.4.3 Asia Pacific Machine Learning Market Breakdown by Key Countries 118
10.4.3.1 Australia Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 119
10.4.3.2 China Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 120
10.4.3.3 India Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 121
10.4.3.4 Japan Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 122
10.4.3.5 Rest of APAC Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 123
10.4.4 Asia Pacific Machine Learning Market Breakdown by Solution 124
10.4.5 Asia Pacific Machine Learning Market Breakdown by Deployment Type 125
10.4.6 Asia Pacific Machine Learning Market Breakdown by End-User 125
10.4.7 Asia Pacific Machine Learning Market Breakdown by BFSI 127
10.4.8 Asia Pacific Machine Learning Market Breakdown by Retail 128
10.4.9 Asia Pacific Machine Learning Market Breakdown by Healthcare 129
10.4.10 Asia Pacific Machine Learning Market Breakdown by Manufacturing 130
10.4.11 Asia Pacific Machine Learning Market Breakdown by Government 131
10.5 Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 132
10.5.1 Overview 132
10.5.2 Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 132
10.5.3 Middle East & Africa Machine Learning Market Breakdown by Key Countries 133
10.5.3.1 South Africa Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 134
10.5.3.2 Saudi Arabia Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 135
10.5.3.3 UAE Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 136
10.5.3.4 Rest of MEA Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 137
10.5.4 Middle East & Africa Machine Learning Market Breakdown by Solution 138
10.5.5 Middle East & Africa Machine Learning Market Breakdown by Deployment Type 139
10.5.6 Middle East & Africa Machine Learning Market Breakdown by End-User 139
10.5.7 Middle East & Africa Machine Learning Market Breakdown by BFSI 141
10.5.8 Middle East & Africa Machine Learning Market Breakdown by Retail 142
10.5.9 Middle East & Africa Machine Learning Market Breakdown by Healthcare 143
10.5.10 Middle East & Africa Machine Learning Market Breakdown by Manufacturing 144
10.5.11 Middle East & Africa Machine Learning Market Breakdown by Government 145
10.6 South America Machine Learning Market Revenue and Forecasts to 2025 146
10.6.1 Overview 146
10.6.2 South America Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 146
10.6.3 South America Machine Learning Market Breakdown by Key Countries 147
10.6.3.1 Brazil Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 148
10.6.3.2 Rest of SAM Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 149
10.6.4 South America Machine Learning Market Breakdown by Solution 150
10.6.5 South America machine learning Market Breakdown by Deployment Type 151
10.6.6 South America Machine Learning Market Breakdown by End-User 151
10.6.7 South America Machine Learning Market Breakdown by BFSI 153
10.6.8 South America Machine Learning Market Breakdown by Retail 154
10.6.9 South America Machine Learning Market Breakdown by Healthcare 155
10.6.10 South America Machine Learning Market Breakdown by Manufacturing 156
10.6.11 South America Machine Learning Market Breakdown by Government 157
11 Industry Landscape 158
11.1 Market Initiative 158
12 Competitive Landscape 160
12.1 Competitive Product Mapping 160
12.2 Market Positioning – Global Top 5 Players Ranking 162
12.3 Amazon Web Services, Inc. 163
12.3.1 Key Facts 163
12.3.2 Business Description 163
12.3.3 Financial Overview 164
12.3.4 SWOT Analysis 165
12.3.5 Key Developments 167
12.4 Fair Isaac Corporation 168
12.4.1 Key Facts 168
12.4.2 Business Description 168
12.4.3 Financial Overview 169
12.4.4 SWOT Analysis 170
12.4.5 Key Developments 172
12.5 Google Inc. 173
12.5.1 Key Facts 173
12.5.2 Business Description 173
12.5.3 Financial Overview 174
12.5.4 SWOT Analysis 174
12.5.5 Key Developments 177
12.6 Hewlett Packard Enterprise 178
12.6.1 Key Facts 178
12.6.2 Business Description 178
12.6.3 Financial Overview 179
12.6.4 SWOT Analysis 179
12.6.5 Key Developments 181
12.7 International Business machines Corporation 182
12.7.1 Key Facts 182
12.7.2 Business Description 182
12.7.3 Financial Overview 183
12.7.4 SWOT Analysis 184
12.7.5 Key Developments 186
12.8 Microsoft Corporation 188
12.8.1 Key Facts 188
12.8.2 Business Description 188
12.8.3 Financial Overview 189
12.8.4 SWOT Analysis 189
12.8.5 Key Developments 191
12.9 SAP SE 193
12.9.1 Key Facts 193
12.9.2 Business Description 193
12.9.3 Financial Overview 194
12.9.4 SWOT Analysis 195
12.9.5 Key Developments 197
12.10 BigML, Inc. 199
12.10.1 Key Facts 199
12.10.2 Business Description 199
12.10.3 Financial Overview 200
12.10.4 SWOT Analysis 201
12.10.5 Key Developments 203
12.11 H2O.ai 205
12.11.1 Key Facts 205
12.11.2 Business Description 205
12.11.3 Financial Overview 207
12.11.4 SWOT Analysis 207
12.11.5 Key Developments 208
12.12 SAS Institute Inc. 209
12.12.1 Key Facts 210
12.12.2 Business Description 210
12.12.3 Financial Overview 212
12.12.4 SWOT Analysis 213
12.12.5 Key Developments 215
13 Appendix 216
13.1 About The Insight Partners 216
13.2 Glossary of Terms 217
13.3 Methodology 218
13.3.1 Coverage 218
13.3.2 Secondary Research 218
13.3.3 Primary Research 219
13.4 Contact Us 221
13.5 Disclaimer 221

List of Tables

Table 1: Global Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 47
Table 2: North America Machine Learning Market Revenue and Forecasts to 2025 – By Solution (US$ Mn) 93
Table 3: North America Machine Learning Market Revenue and Forecasts to 2025 – By Deployment Type (US$ Mn) 94
Table 4: North America Machine Learning Market Revenue and Forecasts to 2025 – By End-User (US$ Mn) 95
Table 5: North America Machine Learning Market Revenue and Forecasts to 2025 – By BFSI (US$ Mn) 96
Table 6: North America Machine Learning Market Revenue and Forecasts to 2025 – By Retail (US$ Mn) 97
Table 7: North America Machine Learning Market Revenue and Forecasts to 2025 – By Healthcare (US$ Mn) 98
Table 8: North America Machine Learning Market Revenue and Forecasts to 2025 – By Manufacturing (US$ Mn) 99
Table 9: North America Machine Learning Market Revenue and Forecasts to 2025 – By Government (US$ Mn) 100
Table 10: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Solution (US$ Mn) 109
Table 11: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Deployment Type (US$ Mn) 110
Table 12: Europe Machine Learning Market Revenue and Forecasts to 2025 – By End-User (US$ Mn) 111
Table 13: Europe Machine Learning Market Revenue and Forecasts to 2025 – By BFSI (US$ Mn) 112
Table 14: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Retail (US$ Mn) 113
Table 15: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Healthcare (US$ Mn) 114
Table 16: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Manufacturing (US$ Mn) 115
Table 17: Europe Machine Learning Market Revenue and Forecasts to 2025 – By Government (US$ Mn) 116
Table 18: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Solution (US$ Mn) 124
Table 19: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Deployment Type (US$ Mn) 125
Table 20: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By End-User (US$ Mn) 126
Table 21: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By BFSI (US$ Mn) 127
Table 22: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Retail (US$ Mn) 128
Table 23: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Healthcare (US$ Mn) 129
Table 24: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Manufacturing (US$ Mn) 130
Table 25: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 – By Government (US$ Mn) 131
Table 26: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Solution (US$ Mn) 138
Table 27: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Deployment Type (US$ Mn) 139
Table 28: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By End-User (US$ Mn) 140
Table 29: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By BFSI (US$ Mn) 141
Table 30: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Retail (US$ Mn) 142
Table 31: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Healthcare (US$ Mn) 143
Table 32: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Manufacturing (US$ Mn) 144
Table 33: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 – By Government (US$ Mn) 145
Table 34: South America Machine Learning Market Revenue and Forecasts to 2025 – By Solution (US$ Mn) 150
Table 35: South America Machine Learning Market Revenue and Forecasts to 2025 – By Deployment Type (US$ Mn) 151
Table 36: South America Machine Learning Market Revenue and Forecasts to 2025 – By End-User (US$ Mn) 152
Table 37: South America Machine Learning Market Revenue and Forecasts to 2025 – By BFSI (US$ Mn) 153
Table 38: South America Machine Learning Market Revenue and Forecasts to 2025 – By Retail (US$ Mn) 154
Table 39: South America Machine Learning Market Revenue and Forecasts to 2025 – By Healthcare (US$ Mn) 155
Table 40: South America Machine Learning Market Revenue and Forecasts to 2025 – By Manufacturing (US$ Mn) 156
Table 41: South America Machine Learning Market Revenue and Forecasts to 2025 – By Government (US$ Mn) 157
Table 42: Glossary of Terms, Vision Guided Robotics Software Market 217

List of Figures

Figure 1: North America Machine Learning Market, Global Revenue (US$ Mn), 2016 & 2025 21
Figure 2: BFSI Machine Learning Market, Global Revenue (US$ Mn), 2016 & 2025 22
Figure 3: Cloud/MLaaS Machine Learning Market, Global Revenue (US$ Mn), 2016 & 2025 23
Figure 4: Machine Learning Market Segmentation 25
Figure 5: Machine Learning Market Segmentation 26
Figure 6: North America PEST Analysis 29
Figure 7: Europe PEST Analysis 32
Figure 8: APAC PEST Analysis 35
Figure 9: MEA PEST Analysis 37
Figure 10: SAM PEST Analysis 40
Figure 11: Machine Learning Market Impact Analysis of Driver and Restraints 45
Figure 12: Global Machine Learning Market Breakdown By Solution, 2016 & 2025 (%) 48
Figure 13: Software Market Revenue and Forecasts to 2025 (US$ Mn) 50
Figure 14: Service Market Revenue and Forecasts to 2025 (US$ Mn) 52
Figure 15: Global Machine Learning Market Breakdown By Deployment type, 2016 & 2025 (%) 53
Figure 16: Cloud/MLaaS Market Revenue and Forecasts to 2025 (US$ Mn) 55
Figure 17: On-Premise Market Revenue and Forecasts to 2025 (US$ Mn) 57
Figure 18: Global Machine Learning Market Breakdown By End-User, 2016 & 2025 (%) 58
Figure 19: Global BFSI Market Revenue and Forecasts to 2025 (US$ Mn) 60
Figure 20: Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 60
Figure 21: Global Risk Management Compliance Market Revenue and Forecasts to 2025 (US$ Mn) 62
Figure 22: Global Predictive Customer Analytics Market Revenue and Forecasts to 2025 (US$ Mn) 63
Figure 23: Global Algorithm Trading Market Revenue and Forecasts to 2025 (US$ Mn) 64
Figure 24: Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 65
Figure 25: Global Retail Market Revenue and Forecasts to 2025 (US$ Mn) 67
Figure 26: Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 67
Figure 27: Global Customer Experience & Insight Market Revenue and Forecasts to 2025 (US$ Mn) 69
Figure 28: Global Supply & Demand Planning Market Revenue and Forecasts to 2025 (US$ Mn) 70
Figure 29: Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 71
Figure 30: Global Healthcare Market Revenue and Forecasts to 2025 (US$ Mn) 73
Figure 31: Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 73
Figure 32: Global Diagnosis and Treatment Systems Market Revenue and Forecasts to 2025 (US$ Mn) 75
Figure 33: Global Image Analytics & Diagnosis Market Revenue and Forecasts to 2025 (US$ Mn) 76
Figure 34: Global Others Market Revenue and Forecasts to 2025 (US$ Mn) 77
Figure 35: Global Manufacturing Market Revenue and Forecasts to 2025 (US$ Mn) 79
Figure 36: Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 79
Figure 37: Global Predictive Maintenance Market Revenue and Forecasts to 2025 (US$ Mn) 81
Figure 38: Global Supply Chain Management Market Revenue and Forecasts to 2025 (US$ Mn) 82
Figure 39: Global Government Market Revenue and Forecasts to 2025 (US$ Mn) 83
Figure 40: Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 83
Figure 41: Global Fraud & Improper Payments Market Revenue and Forecasts to 2025 (US$ Mn) 85
Figure 42: Global Public Safety & Security Market Revenue and Forecasts to 2025 (US$ Mn) 86
Figure 43: Machine Learning Market, Global Breakdown by Regions, 2016 & 2025 (%) 87
Figure 44: North America Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 89
Figure 45: North America Machine Learning Market Breakdown by Key Countries, 2016 & 2025 (%) 89
Figure 46: US Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 90
Figure 47: Canada Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 91
Figure 48: Mexico Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 92
Figure 49: North America Machine Learning Market Breakdown by Solution, 2016 & 2025 (%) 93
Figure 50: North America Machine Learning Market Breakdown by Deployment Type, 2016 & 2025 (%) 94
Figure 51: North America Machine Learning Market Breakdown by End-User, 2016 & 2025 (%) 95
Figure 52: North America Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 96
Figure 53: North America Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 97
Figure 54: North America Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 98
Figure 55: North America Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 99
Figure 56: North America Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 100
Figure 57: Europe Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 102
Figure 58: Europe Machine Learning Market Breakdown by Key Countries, 2016 & 2025 (%) 102
Figure 59: France Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 103
Figure 60: Germany Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 104
Figure 61: Italy Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 105
Figure 62: Spain Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 106
Figure 63: UK Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 107
Figure 64: Rest of Europe Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 108
Figure 65: Europe Machine Learning Market Breakdown by Solution, 2016 & 2025 (%) 109
Figure 66: Europe Machine Learning Market Breakdown by Deployment Type, 2016 & 2025 (%) 110
Figure 67: Europe Machine Learning Market Breakdown by End-User, 2016 & 2025 (%) 111
Figure 68: Europe Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 112
Figure 69: Europe Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 113
Figure 70: Europe Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 114
Figure 71: Europe Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 115
Figure 72: Europe Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 116
Figure 73: Asia Pacific Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 118
Figure 74: Asia Pacific Machine Learning Market Breakdown by Key Countries, 2016 & 2025 (%) 118
Figure 75: Australia Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 119
Figure 76: China Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 120
Figure 77: India Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 121
Figure 78: Japan Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 122
Figure 79: UK Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 123
Figure 80: Asia Pacific Machine Learning Market Breakdown by Solution, 2016 & 2025 (%) 124
Figure 81: Asia Pacific Machine Learning Market Breakdown by Deployment Type, 2016 & 2025 (%) 125
Figure 82: Asia Pacific Machine Learning Market Breakdown by End-User, 2016 & 2025 (%) 126
Figure 83: Asia Pacific Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 127
Figure 84: Asia Pacific Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 128
Figure 85: Asia Pacific Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 129
Figure 86: Asia Pacific Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 130
Figure 87: Asia Pacific Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 131
Figure 88: Middle East & Africa Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 133
Figure 89: Middle East & Africa Machine Learning Market Breakdown by Key Countries, 2016 & 2025 (%) 133
Figure 90: South Africa Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 134
Figure 91: Saudi Arabia Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 135
Figure 92: UAE Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 136
Figure 93: Rest of MEA Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 137
Figure 94: Middle East & Africa Machine Learning Market Breakdown by Solution, 2016 & 2025 (%) 138
Figure 95: Middle East & Africa Machine Learning Market Breakdown by Deployment Type, 2016 & 2025 (%) 139
Figure 96: Middle East & Africa Machine Learning Market Breakdown by End-User, 2016 & 2025 (%) 140
Figure 97: Middle East & Africa Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 141
Figure 98: Middle East & Africa Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 142
Figure 99: Middle East & Africa Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 143
Figure 100: Middle East & Africa Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 144
Figure 101: Middle East & Africa Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 145
Figure 102: South America Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 147
Figure 103: South America Machine Learning Market Breakdown by Key Countries, 2016 & 2025 (%) 147
Figure 104: Brazil Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 148
Figure 105: Rest of SAM Machine Learning Market Revenue and Forecasts to 2025 (US$ Mn) 149
Figure 106: South America Machine Learning Market Breakdown by Solution, 2016 & 2025 (%) 150
Figure 107: South America Machine Learning Market Breakdown by Deployment Type, 2016 & 2025 (%) 151
Figure 108: South America Machine Learning Market Breakdown by End-User, 2016 & 2025 (%) 152
Figure 109: South America Machine Learning Market Breakdown by BFSI, 2016 & 2025 (%) 153
Figure 110: South America Machine Learning Market Breakdown by Retail, 2016 & 2025 (%) 154
Figure 111: South America Machine Learning Market Breakdown by Healthcare, 2016 & 2025 (%) 155
Figure 112: South America Machine Learning Market Breakdown by Manufacturing, 2016 & 2025 (%) 156
Figure 113: South America Machine Learning Market Breakdown by Government, 2016 & 2025 (%) 157

The List of Companies - Machine Learning Market

1. Amazon Web Services, Inc.
2. Fair Isaac Corporation
3. Google, Inc.
4. Hewlett Packard Enterprise
5. IBM Corporation
6. Microsoft Corporation
7. SAP SE
8. BigML, Inc.
9. H2O.ai
10. SAS Institute Inc.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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