Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology and forecast parameters
1.3 COVID-19 impact
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 Middle East & Africa
1.4 Impact of Russia Ukraine crisis
1.5 Data Sources
1.5.1 Secondary
1.5.2 Primary
1.6 Glossary
Chapter 2 Executive Summary
2.1 AI engineering industry 360º synopsis, 2018 – 2032
2.2 Business trends
2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Cable type trends
2.5 Vehicle type trends
2.6 Technology trends
Chapter 3 AI Engineering Industry Insights
3.1 Introduction
3.2 Impact of COVID-19 outbreak
3.2.1 By region
3.2.1.1 North America
3.2.1.2 Europe
3.2.1.3 Asia Pacific
3.2.1.4 Latin America
3.2.1.5 Middle East & Africa
3.2.2 Strategies by major players to regain pre-COVID level growth
3.3 Impact analysis of Russia-Ukraine war
3.4 AI engineering industry ecosystem analysis
3.4.1 Hardware developers
3.4.2 Software providers
3.4.3 Cloud platform and service providers
3.4.4 Integrators
3.4.5 Service providers
3.4.6 Distribution channel
3.4.7 End-users
3.4.8 Stakeholder profit margin analysis
3.4.9 Vendor matrix
3.5 Technology & innovation landscape
3.5.1 Cloud Computing
3.5.2 Autonomous mobility
3.6 Patent analysis
3.7 Investment portfolio
3.8 Industry news
3.8.1 North America
3.8.2 Europe
3.8.3 Asia Pacific
3.8.4 Latin America
3.8.5 Middle East & Africa
3.9 Regulatory landscape
3.9.1 International Standards
3.9.2 North America
3.9.3 Europe
3.9.4 Asia Pacific
3.9.5 Latin America
3.9.6 MEA
3.10 Industry impact forces
3.10.1 Growth drivers
3.10.1.1 Rising adoption of cloud-based applications
3.10.1.2 Government support for strengthening IT infrastructure
3.10.1.3 Increasing use of robotics in industries
3.10.1.4 New solutions launched by market players
3.10.1.5 Increasing adoption of smart devices
3.10.2 Industry pitfalls & challenges
3.10.2.1 Increase in cyber attacks
3.10.2.2 Shortage of skilled professionals
3.11 Growth potential analysis
3.12 Porter’s analysis
3.12.1 Bargaining power of suppliers
3.12.2 Bargaining power of buyers
3.12.3 The threat of new entrants
3.12.4 The threat of substitute
3.12.5 Competitive rivalry
3.13 PESTEL analysis
3.13.1 Political
3.13.2 Economic
3.13.3 Social
3.13.4 Technological
3.13.5 Legal
3.13.6 Environmental
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, by revenue, 2022
4.2.1 Competitive analysis of major automotive data cables providers, 2022
4.2.1.1 Alphabet Inc.
4.2.1.2 Cisco Systems Inc.
4.2.1.3 IBM Corp.
4.2.1.4 Microsoft Corp.
4.2.1.5 Nvidia Corp.
4.2.1.6 Siemens AG
4.2.2 Competitive analysis of market innovators, 2022
4.2.2.1 Intel Corp.
4.2.2.2 Meta Platforms Inc.
4.2.2.3 Oracle Corp.
4.2.2.4 Salesforce.com Inc.
4.2.2.5 SAP SE
4.2.3 Vendor adoption matrix
4.2.4 Strategic outlook matrix
Chapter 5 AI Engineering Market, By Solution
5.1 Key trends, by solution
5.2 Hardware
5.2.1 Market estimates and forecast, 2018 – 2032
5.2.2 CPU
5.2.2.1 Market estimates and forecast, 2018 – 2032
5.2.3 GPU
5.2.3.1 Market estimates and forecast, 2018 – 2032
5.2.4 FPGA
5.2.4.1 Market estimates and forecast, 2018 – 2032
5.2.5 ASIC
5.2.5.1 Market estimates and forecast, 2018 – 2032
5.3 Software
5.3.1 Market estimates and forecast, 2018 – 2032
5.4 Services
5.4.1 Market estimates and forecast, 2018 – 2032
Chapter 6 AI Engineering Market, By Technology
6.1 Key trends, by technology
6.2 Deep Learning
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Machine Learning
6.3.1 Market estimates and forecast, 2018 – 2032
6.3.2 Supervised Learning
6.3.2.1 Market estimates and forecast, 2018 – 2032
6.3.3 Unsupervised Learning
6.3.3.1 Market estimates and forecast, 2018 – 2032
6.3.4 Reinforcement Learning
6.3.4.1 Market estimates and forecast, 2018 – 2032
6.4 Natural Language Processing (NLP)
6.4.1 Market estimates and forecast, 2018 – 2032
6.4.2 Speech Recognition
6.4.2.1 Market estimates and forecast, 2018 – 2032
6.4.3 Optical Character Recognition (OCR)
6.4.3.1 Market estimates and forecast, 2018 – 2032
6.4.4 Semantic Search
6.4.4.1 Market estimates and forecast, 2018 – 2032
6.4.5 Sentiment Analysis
6.4.5.1 Market estimates and forecast, 2018 – 2032
6.5 Computer Vision
6.5.1 Market estimates and forecast, 2018 – 2032
Chapter 7 AI Engineering Market, By End-use
7.1 Key trends, by end-use
7.2 Retail
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 BFSI
7.3.1 Market estimates and forecast, 2018 – 2032
7.4 IT and Telecommunication
7.4.1 Market estimates and forecast, 2018 – 2032
7.5 Government and Public Sector
7.5.1 Market estimates and forecast, 2018 – 2032
7.6 Manufacturing
7.6.1 Market estimates and forecast, 2018 – 2032
7.7 Healthcare
7.7.1 Market estimates and forecast, 2018 – 2032
7.8 Education and Research
7.8.1 Market estimates and forecast, 2018 – 2032
7.9 Others
7.9.1 Market estimates and forecast, 2018 – 2032
Chapter 8 AI Engineering Market, By Deployment
8.1 Key trends, by deployment
8.2 On-cloud
8.2.1 Market estimates and forecast, 2018 – 2032
8.3 On-premise
8.3.1 Market estimates and forecast, 2018 – 2032
Chapter 9 AI Engineering Market, By Region
9.1 Key trends, by region
9.2 North America
9.2.1 Market estimates and forecast, 2018 – 2032
9.2.2 Market estimates and forecast, by solution, 2018 – 2032
9.2.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.2.3 Market estimates and forecast, by technology, 2018 – 2032
9.2.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.2.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.2.4 Market estimates and forecast, by end-use, 2018 – 2032
9.2.5 Market estimates and forecast, by deployment, 2018 – 2032
9.2.6 U.S.
9.2.6.1 Market estimates and forecast, 2018 – 2032
9.2.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.2.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.2.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.2.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.2.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.2.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.2.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.2.7 Canada
9.2.7.1 Market estimates and forecast, 2018 – 2032
9.2.7.2 Market estimates and forecast, by solution, 2018 – 2032
9.2.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.2.7.3 Market estimates and forecast, by technology, 2018 – 2032
9.2.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.2.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.2.7.4 Market estimates and forecast, by end-use, 2018 – 2032
9.2.7.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3 Europe
9.3.1 Market estimates and forecast, 2018 – 2032
9.3.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.6 UK
9.3.6.1 Market estimates and forecast, 2018 – 2032
9.3.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.7 Germany
9.3.7.1 Market estimates and forecast, 2018 – 2032
9.3.7.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.7.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.7.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.7.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.8 France
9.3.8.1 Market estimates and forecast, 2018 – 2032
9.3.8.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.8.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.8.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.8.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.9 Spain
9.3.9.1 Market estimates and forecast, 2018 – 2032
9.3.9.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.9.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.9.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.9.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.9.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.9.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.9.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.10 Italy
9.3.10.1 Market estimates and forecast, 2018 – 2032
9.3.10.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.10.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.10.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.10.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.10.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.10.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.10.5 Market estimates and forecast, by deployment, 2018 – 2032
9.3.11 Spain
9.3.11.1 Market estimates and forecast, 2018 – 2032
9.3.11.2 Market estimates and forecast, by solution, 2018 – 2032
9.3.11.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.3.11.3 Market estimates and forecast, by technology, 2018 – 2032
9.3.11.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.3.11.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.3.11.4 Market estimates and forecast, by end-use, 2018 – 2032
9.3.11.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4 Asia Pacific
9.4.1 Market estimates and forecast, 2018 – 2032
9.4.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.6 China
9.4.6.1 Market estimates and forecast, 2018 – 2032
9.4.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.7 Japan
9.4.7.1 Market estimates and forecast, 2018 – 2032
9.4.7.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.7.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.7.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.7.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.8 South Korea
9.4.8.1 Market estimates and forecast, 2018 – 2032
9.4.8.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.8.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.8.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.8.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.9 India
9.4.9.1 Market estimates and forecast, 2018 – 2032
9.4.9.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.9.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.9.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.9.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.9.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.9.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.9.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.10 Australia
9.4.10.1 Market estimates and forecast, 2018 – 2032
9.4.10.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.10.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.10.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.10.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.10.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.10.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.10.5 Market estimates and forecast, by deployment, 2018 – 2032
9.4.11 Southeast Asia
9.4.11.1 Market estimates and forecast, 2018 – 2032
9.4.11.2 Market estimates and forecast, by solution, 2018 – 2032
9.4.11.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.4.11.3 Market estimates and forecast, by technology, 2018 – 2032
9.4.11.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.4.11.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.4.11.4 Market estimates and forecast, by end-use, 2018 – 2032
9.4.11.5 Market estimates and forecast, by deployment, 2018 – 2032
9.5 Latin America
9.5.1 Market estimates and forecast, 2018 – 2032
9.5.2 Market estimates and forecast, by solution, 2018 – 2032
9.5.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.5.3 Market estimates and forecast, by technology, 2018 – 2032
9.5.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.5.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.5.4 Market estimates and forecast, by end-use, 2018 – 2032
9.5.5 Market estimates and forecast, by deployment, 2018 – 2032
9.5.6 Brazil
9.5.6.1 Market estimates and forecast, 2018 – 2032
9.5.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.5.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.5.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.5.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.5.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.5.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.5.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.5.7 Mexico
9.5.7.1 Market estimates and forecast, 2018 – 2032
9.5.7.2 Market estimates and forecast, by solution, 2018 – 2032
9.5.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.5.7.3 Market estimates and forecast, by technology, 2018 – 2032
9.5.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.5.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.5.7.4 Market estimates and forecast, by end-use, 2018 – 2032
9.5.7.5 Market estimates and forecast, by deployment, 2018 – 2032
9.5.8 Argentina
9.5.8.1 Market estimates and forecast, 2018 – 2032
9.5.8.2 Market estimates and forecast, by solution, 2018 – 2032
9.5.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.5.8.3 Market estimates and forecast, by technology, 2018 – 2032
9.5.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.5.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.5.8.4 Market estimates and forecast, by end-use, 2018 – 2032
9.5.8.5 Market estimates and forecast, by deployment, 2018 – 2032
9.6 MEA
9.6.1 Market estimates and forecast, 2018 – 2032
9.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.6.6 UAE
9.6.6.1 Market estimates and forecast, 2018 – 2032
9.6.6.2 Market estimates and forecast, by solution, 2018 – 2032
9.6.6.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.6.6.3 Market estimates and forecast, by technology, 2018 – 2032
9.6.6.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.6.6.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.6.6.4 Market estimates and forecast, by end-use, 2018 – 2032
9.6.6.5 Market estimates and forecast, by deployment, 2018 – 2032
9.6.7 Saudi Arabia
9.6.7.1 Market estimates and forecast, 2018 – 2032
9.6.7.2 Market estimates and forecast, by solution, 2018 – 2032
9.6.7.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.6.7.3 Market estimates and forecast, by technology, 2018 – 2032
9.6.7.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.6.7.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.6.7.4 Market estimates and forecast, by end-use, 2018 – 2032
9.6.7.5 Market estimates and forecast, by deployment, 2018 – 2032
9.6.8 South Africa
9.6.8.1 Market estimates and forecast, 2018 – 2032
9.6.8.2 Market estimates and forecast, by solution, 2018 – 2032
9.6.8.2.1 Market estimates and forecast, by hardware, 2018 – 2032
9.6.8.3 Market estimates and forecast, by technology, 2018 – 2032
9.6.8.3.1 Market estimates and forecast, by machine learning, 2018 – 2032
9.6.8.3.2 Market estimates and forecast, by natural language processing, 2018 – 2032
9.6.8.4 Market estimates and forecast, by end-use, 2018 – 2032
9.6.8.5 Market estimates and forecast, by deployment, 2018 – 2032
Chapter 10 Company Profiles
10.1 Alphabet Inc.
10.1.1 Business Overview
10.1.2 Financial Data
10.1.3 Product Landscape
10.1.4 Strategic Outlook
10.1.5 SWOT Analysis
10.2 Baidu Inc.
10.2.1 Business Overview
10.2.2 Financial Data
10.2.3 Product Landscape
10.2.4 Strategic Outlook
10.2.5 SWOT Analysis
10.3 Cisco Systems, Inc.
10.3.1 Business Overview
10.3.2 Financial Data
10.3.3 Product Landscape
10.3.4 Strategic Outlook
10.3.5 SWOT Analysis
10.4 Dolbey Systems
10.4.1 Business Overview
10.4.2 Financial Data
10.4.3 Product Landscape
10.4.4 Strategic Outlook
10.4.5 SWOT Analysis
10.5 IBM Corp.
10.5.1 Business Overview
10.5.2 Financial Data
10.5.3 Product Landscape
10.5.4 Strategic Outlook
10.5.5 SWOT Analysis
10.6 Intel Corp.
10.6.1 Business Overview
10.6.2 Financial Data
10.6.3 Product Landscape
10.6.4 Strategic Outlook
10.6.5 SWOT Analysis
10.7 Lexalytics
10.7.1 Business Overview
10.7.2 Financial Data
10.7.3 Product Landscape
10.7.4 Strategic Outlook
10.7.5 SWOT Analysis
10.8 Meta Platforms Inc.
10.8.1 Business Overview
10.8.2 Financial Data
10.8.3 Product Landscape
10.8.4 Strategic Outlook
10.8.5 SWOT Analysis
10.9 Microsoft Corp.
10.9.1 Business Overview
10.9.2 Financial Data
10.9.3 Product Landscape
10.9.4 Strategic Outlook
10.9.5 SWOT Analysis
10.10 Netbase Solutions
10.10.1 Business Overview
10.10.2 Financial Data
10.10.3 Product Landscape
10.10.4 Strategic Outlook
10.10.5 SWOT Analysis
10.11 Nvidia Corp.
10.11.1 Business Overview
10.11.2 Financial Data
10.11.3 Product Landscape
10.11.4 Strategic Outlook
10.11.5 SWOT Analysis
10.12 Oracle Corp.
10.12.1 Business Overview
10.12.2 Financial Data
10.12.3 Product Landscape
10.12.4 Strategic Outlook
10.12.5 SWOT Analysis
10.13 People.ai
10.13.1 Business Overview
10.13.2 Financial Data
10.13.3 Product Landscape
10.13.4 Strategic Outlook
10.13.5 SWOT Analysis
10.14 Salesforce.com Inc.
10.14.1 Business Overview
10.14.2 Financial Data
10.14.3 Product Landscape
10.14.4 Strategic Outlook
10.14.5 SWOT Analysis
10.15 SAP SE
10.15.1 Business Overview
10.15.2 Financial Data
10.15.3 Product Landscape
10.15.4 Strategic Outlook
10.15.5 SWOT Analysis
10.16 Siemens AG
10.16.1 Business Overview
10.16.2 Financial Data
10.16.3 Product Landscape
10.16.4 Strategic Outlook
10.16.5 SWOT Analysis
10.17 Verint Systems
10.17.1 Business Overview
10.17.2 Financial Data
10.17.3 Product Landscape
10.17.4 Strategic Outlook
10.17.5 SWOT Analysis
