Report Content
Chapter 1 Methodology & Scope
1.1 Research design
1.1.1 Research approach
1.1.2 Data collection methods
1.2 Base estimates and calculations
1.2.1 Base year calculation
1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research & validation
1.4.1 Primary sources
1.4.2 Data mining sources
1.5 Market definitions
Chapter 2 Executive Summary
2.1 Industry 3600 synopsis, 2021 - 2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.2.1 Technology providers
3.2.2 Service providers
3.2.3 Platform providers
3.2.4 End users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Key news & initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Growing demand for ai solutions
3.8.1.2 Shortage of skilled data scientists
3.8.1.3 Rise in the integration with cloud services
3.8.1.4 Rise in the customization options and flexibility
3.8.2 Industry pitfalls & challenges
3.8.2.1 Raising concerns about data privacy
3.8.2.2 Complexity of data and models
3.9 Growth potential analysis
3.10 Porter’s analysis
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Offering 2021 - 2032 ($Mn)
5.1 Key trends
5.2 Solution
5.3 Service
5.3.1 Consulting
5.3.2 Integration
5.3.3 Deployment
Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Mn)
6.1 Key trends
6.2 Cloud
6.3 On-premises
Chapter 7 Market Estimates & Forecast, By Enterprise size, 2021 - 2032 ($Mn)
7.1 Key trends
7.2 SMEs
7.2.1 Solution
7.2.2 Service
7.2.2.1 Consulting
7.2.2.2 Integration
7.2.2.3 Deployment
7.3 Large enterprises
7.3.1 Solution
7.3.2 Service
7.3.2.1 Consulting
7.3.2.2 Integration
7.3.2.3 Deployment
Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Mn)
8.1 Key trends
8.2 Data processing
8.3 Feature engineering
8.4 model selection
8.5 Hyperparameter optimization & tuning
8.6 Model ensemble
8.7 Others
Chapter 9 Market Estimates & Forecast, By End-User, 2021 - 2032 ($Mn)
9.1 Key trends
9.2 IT & telecommunications
9.3 BFSI
9.4 Retail
9.5 Automotive
9.6 Media & entertainment
9.7 Others
Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Mn)
10.1 Key trends
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Italy
10.3.5 Russia
10.3.6 Spain
10.3.7 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 Japan
10.4.3 India
10.4.4 South Korea
10.4.5 Australia
10.4.6 Southeast Asia
10.4.7 Rest of Asia Pacific
10.5 Latin America
10.5.1 Brazil
10.5.2 Mexico
10.5.3 Argentina
10.5.4 Rest of Latin America
10.6 MEA
10.6.1 UAE
10.6.2 South Africa
10.6.3 Saudi Arabia
10.6.4 Rest of MEA
Chapter 11 Company Profiles
11.1 Alphabet Inc.
11.2 Alteryx
11.3 Amazon Web Services, Inc.
11.4 Auger.AI
11.5 BigML
11.6 DarwinAI
11.7 Databricks AutoML
11.8 Dataiku
11.9 DataRobot MLOps
11.10 DataRobot Paxata
11.11 DataRobot, Inc.
11.12 DotData
11.13 Feature Labs
11.14 H2O.ai
11.15 HPE Haven OnDemand
11.16 IBM Corporation
11.17 KNIME
11.18 Microsoft
11.19 RapidMiner Auto Model
11.20 TIBCO Software Inc.
