Product Code: 4267
Artificial Intelligence (AI) Chipset Market is estimated to grow considerably through 2032, owing to increasing initiatives and investments made by various central governments to build smart cities. For instance, Dubai administration recently unveiled a seven-year plan to transform all municipal services digitally. The plan covers aspects including transportation, urban planning, and communication networks. As per reports, the DubaiNow application is now using artificial intelligence to benefit citizens by digitizing services and making them available to the public.
Besides, the increasing use of robots and industrial automation is also anticipated to fuel the demand for AI chipsets through 2032. SMEs and large enterprises have been focusing on industrial automation for better equipment maintenance, reducing manual labor, and removing the need for assembly and inventories.
Overall, the AI chipset industry is segmented in terms of product, technology, processing, industry vertical, and region.
Based on product, the ASIC segment held over 10% market share in 2022 and is expected to grow considerably owing to the rising need for high bandwidth, long battery life, and compact size components in mobile phone applications. Besides, the increasing implementation of ASIC in access devices, smart door locks, and wearable devices will also positively favor segment expansion.
By technology, the AI chipset industry is anticipated to amass remunerative gains from the NLP technology segment by 2032 end. The segmental valuation can be credited to its rising adoption in smart devices and increasing integration with cloud devices. It is also used for speech recognition, part of speech tagging, word sense disambiguation, named entity recognition, co-reference resolution, sentiment analysis, and natural language generation.
Considering the processing, the edge AI chip segment is anticipated to register over 30% gains during the estimated timeframe. Edge AI chips process huge amounts of data by reducing the risk of interception for personal & enterprise data. In addition, the rising adoption of these edge chips in sensors, robots, and IoT devices will also drive segment growth.
Based on industry verticals, the BFSI segment is estimated to grow considerably due to the shift toward digital payment methods and wallets. According to credible reports, mobile payment transactions reached USD 1.7 billion in 2021, depicting a solid 27% increase annually. Given their high complexity, these applications require regular monitoring and upgrades, thus increasing the demand for AI services.
Regionally, the Europe artificial intelligence chipset market is estimated to grow considerably through 2032 due to hefty investments by conglomerates in the European automotive sector. Besides, increasing funding in developing electric vehicles that use AI chipset, will positively influence the overall business outlook over the ensuing years. The ADAS system deployed in the vehicles leverages AI systems for lane change assistance, driverless operation, and autopilot parking and driving.
Table of Contents
Chapter 1 Methodology and Scope
- 1.1 Market Definitions
- 1.2 Base estimates and calculations
- 1.3 Forecast calculations
- 1.4 Data sources
- 1.4.1 Secondary
- 1.4.1.1 Paid sources
- 1.4.1.2 Public sources
- 1.4.2 Primary
- 1.5 Industry glossary
Chapter 2 Executive Summary
- 2.1 AI chipset industry 360 degree synopsis, 2018 - 2032
- 2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2023 - 2032
- 2.3 Regional trends
- 2.4 Product trends
- 2.5 Technology trends
- 2.6 Processing type trends
- 2.7 Industrial vertical trends
Chapter 3 Industry Insights
- 3.1 Impact of COVID-19 pandemic
- 3.1.1 Global outlook
- 3.1.2 Regional impact
- 3.1.2.1 North America
- 3.1.2.2 Europe
- 3.1.2.3 Asia Pacific
- 3.1.2.4 Latin America
- 3.1.2.5 MEA
- 3.2 Russia-Ukraine war impact
- 3.3 China- U.S.trade war impact
- 3.4 Industry ecosystem analysis
- 3.4.1 Raw material supplier
- 3.4.2 Component providers
- 3.4.3 Manufacturers
- 3.4.4 Service providers
- 3.4.5 Distribution channel analysis
- 3.4.6 End-use landscape
- 3.4.7 Vendor matrix
- 3.5 Profit margin analysis, 2022
- 3.6 Technology & innovation landscape
- 3.7 Patent landscape
- 3.8 Key initiative & news
- 3.9 Regulatory landscape
- 3.9.1 North America
- 3.9.2 Europe
- 3.9.3 Asia Pacific
- 3.9.4 Latin America
- 3.9.5 MEA
- 3.10 Industry impact forces
- 3.10.1 Growth drivers
- 3.10.1.1 Rising use of ADAS in vehicles
- 3.10.1.2 Increasing focus of AI chip manufacturers on development of innovative AI Chips
- 3.10.1.3 Increasing demand for smart homes & smart cities across the globe
- 3.10.1.4 Increasing integration of AI in smartphone & smart wearable devices
- 3.10.1.5 Growing industrial automation across the globe
- 3.10.1.6 Increasing focus on development of smart robots
- 3.10.1.7 Growth of AI inferencing hardware in data centers
- 3.10.2 Industry pitfalls & challenges
- 3.10.2.1 Lack of skilled workforce
- 3.10.2.2 Rising data security concern
- 3.11 Growth potential analysis
- 3.12 Porter's analysis
- 3.12.1 Supplier power
- 3.12.2 Buyer power
- 3.12.3 Threat of new entrants
- 3.12.4 Threat of substitutes
- 3.12.5 Internal rivalry
- 3.13 PESTEL analysis
- 3.13.1 Political
- 3.13.2 Economical
- 3.13.3 Social
- 3.13.4 Technological
- 3.13.5 Environmental
- 3.13.6 Legal
Chapter 4 Competitive Landscape
- 4.1 Introduction
- 4.2 Company market share, 2022
- 4.3 Competitive analysis of major market players, 2022
- 4.3.1 NVIDIA Corporation
- 4.3.2 Advanced Micro Devices, Inc
- 4.3.3 Intel Corporation
- 4.3.4 Samsung Electronics
- 4.3.5 IBM
- 4.3.6 Google
- 4.3.7 Qualcomm Technologies
- 4.4 Competitive analysis of innovation leaders, 2022
- 4.4.1 Micron Technology
- 4.4.2 Broadcom Limited
- 4.4.3 Baidu, Inc.
- 4.4.4 SK HYNIX INC.
- 4.4.5 MediaTek Inc.
- 4.5 Competitive positioning matrix
- 4.6 Strategic outlook matrix
Chapter 5 AI Chipset Market, By Product
- 5.1 Key trends, by Product
- 5.2 GPU
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.3 ASIC
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.4 FGPA
- 5.4.1 Market estimates and forecast, 2018 - 2032
- 5.5 CPU
- 5.5.1 Market estimates and forecast, 2018 - 2032
Chapter 6 AI Chipset Market, By Technology
- 6.1 Key trends, by technology
- 6.2 NLP
- 6.2.1 Market estimates and forecast, 2018 - 2032
- 6.3 RPA
- 6.3.1 Market estimates and forecast, 2018 - 2032
- 6.4 Computer vision
- 6.4.1 Market estimates and forecast, 2018 - 2032
- 6.5 Network security
- 6.5.1 Market estimates and forecast, 2018 - 2032
- 6.6 Others
- 6.6.1 Market estimates and forecast, 2018 - 2032
Chapter 7 AI Chipset Market, By Processing Type
- 7.1 Key trends, by processing type
- 7.2 Edge
- 7.2.1 Market estimates and forecast, 2018 - 2032
- 7.3 Cloud
- 7.3.1 Market estimates and forecast, 2018 - 2032
Chapter 8 AI Chipset Market, By Industry Vertical
- 8.1 Key trends, by industry vertical
- 8.2 Consumer electronics
- 8.2.1 Market estimates and forecast, 2018 - 2032
- 8.3 Media & advertising
- 8.3.1 Market estimates and forecast, 2018 - 2032
- 8.4 BFSI
- 8.4.1 Market estimates and forecast, 2018 - 2032
- 8.5 IT & telecom
- 8.5.1 Market estimates and forecast, 2018 - 2032
- 8.6 Retail
- 8.6.1 Market estimates and forecast, 2018 - 2032
- 8.7 Healthcare
- 8.7.1 Market estimates and forecast, 2018 - 2032
- 8.8 Automotive
- 8.8.1 Market estimates and forecast, 2018 - 2032
- 8.9 Others
- 8.9.1 Market estimates and forecast, 2018 - 2032
Chapter 9 AI chipset 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 product, 2018 - 2032
- 9.2.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.2.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.2.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.2.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.2.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.2.6.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.2.7.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.2.7.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.2.7.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.3 Europe
- 9.3.1 Market estimates and forecast, 2018-2032
- 9.3.2 Market estimates and forecast, by product, 2018 - 2032
- 9.3.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.3.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.6.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.3.7.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.7.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.7.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.3.8.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.8.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.8.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.3.9 Italy
- 9.3.9.1 Market estimates and forecast, 2018-2032
- 9.3.9.2 Market estimates and forecast, by product, 2018 - 2032
- 9.3.9.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.9.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.9.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.3.10 Spain
- 9.3.10.1 Market estimates and forecast, 2018-2032
- 9.3.10.2 Market estimates and forecast, by product, 2018 - 2032
- 9.3.10.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.10.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.10.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.3.11 Netherlands
- 9.3.11.1 Market estimates and forecast, 2018-2032
- 9.3.11.2 Market estimates and forecast, by product, 2018 - 2032
- 9.3.11.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.3.11.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.3.11.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.4 Asia Pacific
- 9.4.1 Market estimates and forecast, 2018-2032
- 9.4.2 Market estimates and forecast, by product, 2018 - 2032
- 9.4.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.4.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.6.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.4.7 India
- 9.4.7.1 Market estimates and forecast, 2018-2032
- 9.4.7.2 Market estimates and forecast, by product, 2018 - 2032
- 9.4.7.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.7.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.7.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.4.8 Japan
- 9.4.8.1 Market estimates and forecast, 2018-2032
- 9.4.8.2 Market estimates and forecast, by product, 2018 - 2032
- 9.4.8.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.8.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.8.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.4.9 South Korea
- 9.4.9.1 Market estimates and forecast, 2018-2032
- 9.4.9.2 Market estimates and forecast, by product, 2018 - 2032
- 9.4.9.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.9.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.9.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.4.10.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.10.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.10.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.4.11 Singapore
- 9.4.11.1 Market estimates and forecast, 2018-2032
- 9.4.11.2 Market estimates and forecast, by product, 2018 - 2032
- 9.4.11.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.4.11.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.4.11.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.5 Latin America
- 9.5.1 Market estimates and forecast, 2018-2032
- 9.5.2 Market estimates and forecast, by product, 2018 - 2032
- 9.5.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.5.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.5.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.5.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.5.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.5.6.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.5.7.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.5.7.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.5.7.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.6 MEA
- 9.6.1 Market estimates and forecast, 2018-2032
- 9.6.2 Market estimates and forecast, by product, 2018 - 2032
- 9.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.6.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.6.6.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.6.6.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.6.6.5 Market estimates and forecast, by industry vertical, 2018 - 2032
- 9.6.7 Israel
- 9.6.7.1 Market estimates and forecast, 2018-2032
- 9.6.7.2 Market estimates and forecast, by product, 2018 - 2032
- 9.6.7.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.6.7.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.6.7.5 Market estimates and forecast, by industry vertical, 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 product, 2018 - 2032
- 9.6.8.3 Market estimates and forecast, by technology, 2018 - 2032
- 9.6.8.4 Market estimates and forecast, by processing type, 2018 - 2032
- 9.6.8.5 Market estimates and forecast, by industry vertical, 2018 - 2032
Chapter 10 Company Profiles
- 10.1 Key Players
- 10.1.1 Advanced Micro Devices Inc.
- 10.1.1.1 Business Overview
- 10.1.1.2 Financial Data
- 10.1.1.3 Product Landscape
- 10.1.1.4 Strategic Outlook
- 10.1.1.5 SWOT Analysis
- 10.1.2 Amazon.com Inc.
- 10.1.2.1 Business Overview
- 10.1.2.2 Financial Data
- 10.1.2.3 Product Landscape
- 10.1.2.4 Strategic Outlook
- 10.1.2.5 SWOT Analysis
- 10.1.3 Baidu Inc.
- 10.1.3.1 Business Overview
- 10.1.3.2 Financial Data
- 10.1.3.3 Product Landscape
- 10.1.3.4 Strategic Outlook
- 10.1.3.5 SWOT Analysis
- 10.1.4 Broadcom Limited
- 10.1.4.1 Business Overview
- 10.1.4.2 Financial Data
- 10.1.4.3 Product Landscape
- 10.1.4.4 Strategic Outlook
- 10.1.4.5 SWOT Analysis
- 10.1.5 Google
- 10.1.5.1 Business Overview
- 10.1.5.2 Financial Data
- 10.1.5.3 Product Landscape
- 10.1.5.4 Strategic Outlook
- 10.1.5.5 SWOT Analysis
- 10.1.6 IBM
- 10.1.6.1 Business Overview
- 10.1.6.2 Financial Data
- 10.1.6.3 Product Landscape
- 10.1.6.4 Strategic Outlook
- 10.1.6.5 SWOT Analysis
- 10.1.7 Intel Corporation
- 10.1.7.1 Business Overview
- 10.1.7.2 Financial Data
- 10.1.7.3 Product Landscape
- 10.1.7.4 Strategic Outlook
- 10.1.7.5 SWOT Analysis
- 10.1.8 MediaTek Inc.
- 10.1.8.1 Business Overview
- 10.1.8.2 Financial Data
- 10.1.8.3 Product Landscape
- 10.1.8.4 Strategic Outlook
- 10.1.8.5 SWOT Analysis
- 10.1.9 Micron Technology
- 10.1.9.1 Business Overview
- 10.1.9.2 Financial Data
- 10.1.9.3 Product Landscape
- 10.1.9.4 Strategic Outlook
- 10.1.9.5 SWOT Analysis
- 10.1.10 Microsoft Corporation
- 10.1.10.1 Business Overview
- 10.1.10.2 Financial Data
- 10.1.10.3 Product Landscape
- 10.1.10.4 Strategic Outlook
- 10.1.10.5 SWOT Analysis
- 10.1.11 NVIDIA Corporation
- 10.1.11.1 Business Overview
- 10.1.11.2 Financial Data
- 10.1.11.3 Product Landscape
- 10.1.11.4 Strategic Outlook
- 10.1.11.5 SWOT Analysis
- 10.1.12 Qualcomm Technologies
- 10.1.12.1 Business Overview
- 10.1.12.2 Financial Data
- 10.1.12.3 Product Landscape
- 10.1.12.4 Strategic Outlook
- 10.1.12.5 SWOT Analysis
- 10.1.13 Samsung Electronics
- 10.1.13.1 Business Overview
- 10.1.13.2 Financial Data
- 10.1.13.3 Product Landscape
- 10.1.13.4 Strategic Outlook
- 10.1.13.5 SWOT Analysis
- 10.1.14 SK HYNIX INC.
- 10.1.14.1 Business Overview
- 10.1.14.2 Financial Data
- 10.1.14.3 Product Landscape
- 10.1.14.4 Strategic Outlook
- 10.1.14.5 SWOT Analysis
- 10.1.15 Softbank Group
- 10.1.15.1 Business Overview
- 10.1.15.2 Financial Data
- 10.1.15.3 Product Landscape
- 10.1.15.4 Strategic Outlook
- 10.1.15.5 SWOT Analysis
- 10.1.16 Toshiba Corporation
- 10.1.16.1 Business Overview
- 10.1.16.2 Financial Data
- 10.1.16.3 Product Landscape
- 10.1.16.4 Strategic Outlook
- 10.1.16.5 SWOT Analysis
- 10.2 AI Chipsets start-ups
- 10.2.1 Adapteva, Inc.
- 10.2.1.1 Business Overview
- 10.2.1.2 Financial Data
- 10.2.1.3 Product Landscape
- 10.2.1.4 Strategic Outlook
- 10.2.1.5 SWOT Analysis
- 10.2.2 AIBrain Inc.
- 10.2.2.1 Business Overview
- 10.2.2.2 Financial Data
- 10.2.2.3 Product Landscape
- 10.2.2.4 Strategic Outlook
- 10.2.2.5 SWOT Analysis
- 10.2.3 Almotive
- 10.2.3.1 Business Overview
- 10.2.3.2 Financial Data
- 10.2.3.3 Product Landscape
- 10.2.3.4 Strategic Outlook
- 10.2.3.5 SWOT Analysis
- 10.2.4 BitMain Technologies Holding Company
- 10.2.4.1 Business Overview
- 10.2.4.2 Financial Data
- 10.2.4.3 Product Landscape
- 10.2.4.4 Strategic Outlook
- 10.2.4.5 SWOT Analysis
- 10.2.5 Cambrion
- 10.2.5.1 Business Overview
- 10.2.5.2 Financial Data
- 10.2.5.3 Product Landscape
- 10.2.5.4 Strategic Outlook
- 10.2.5.5 SWOT Analysis
- 10.2.6 Graphcore Ltd.
- 10.2.6.1 Business Overview
- 10.2.6.2 Financial Data
- 10.2.6.3 Product Landscape
- 10.2.6.4 Strategic Outlook
- 10.2.6.5 SWOT Analysis
- 10.2.7 Groq, Inc.
- 10.2.7.1 Business Overview
- 10.2.7.2 Financial Data
- 10.2.7.3 Product Landscape
- 10.2.7.4 Strategic Outlook
- 10.2.7.5 SWOT Analysis
- 10.2.8 Gyrfalcon Technology Inc.
- 10.2.8.1 Business Overview
- 10.2.8.2 Financial Data
- 10.2.8.3 Product Landscape
- 10.2.8.4 Strategic Outlook
- 10.2.8.5 SWOT Analysis
- 10.2.9 Horizon Robotics
- 10.2.9.1 Business Overview
- 10.2.9.2 Financial Data
- 10.2.9.3 Product Landscape
- 10.2.9.4 Strategic Outlook
- 10.2.9.5 SWOT Analysis
- 10.2.10 Huawei Service (Hong Kong) Co., Limited
- 10.2.10.1 Business Overview
- 10.2.10.2 Financial Data
- 10.2.10.3 Product Landscape
- 10.2.10.4 Strategic Outlook
- 10.2.10.5 SWOT Analysis
- 10.2.11 Mythic, Inc.
- 10.2.11.1 Business Overview
- 10.2.11.2 Financial Data
- 10.2.11.3 Product Landscape
- 10.2.11.4 Strategic Outlook
- 10.2.11.5 SWOT Analysis
- 10.2.12 ThinkForce
- 10.2.12.1 Business Overview
- 10.2.12.2 Financial Data
- 10.2.12.3 Product Landscape
- 10.2.12.4 Strategic Outlook
- 10.2.12.5 SWOT Analysis