Deep Learning Suppliers Strategic Positioning and Leadership Quadrant

Deep Learning Suppliers Strategic Positioning and Leadership Quadrant

The deep learning manufacture landscape is diverse and continually evolving. Major players in deep learning market have diversified product portfolios, strong geographical reach, and have made several strategic initiatives. The dynamics of the deep learning market extends beyond routine macro-economic elements of supply and demand. It is the relationship between buyer's needs and seller's capabilities as well as the macroeconomic forces at work that affect the market. It is how well and how efficiently the sellers meet the needs of the buyers that determine long-term success.



Over the years, the level of demand for deep learning has increased due to growing adoption of cloud-based technology. Deep learning is used for a variety of markets, such as healthcare, retail, automotive, manufacturing, security, media and advertising, financial technology (fintech), and others and is forecast to grow at a CAGR of 25%. The major growth drivers for this market are increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology.



Firms that produce deep learning are approaching market opportunities with starkly different strategies. Lucintel, a leading global management consulting and market research firm, has analyzed the global deep learning suppliers and has come up with a comprehensive research report, “Lucintel Leadership Quadrant and Strategic Positioning of Deep Learning Suppliers”. Using its proprietary research methodology, Lucintel has developed a comparative analysis tool, the ‘Lucintel Leadership Quadrant,’ which identifies leaders, contenders, visionaries, and specialists in the deep learning market and rates each deep learning producer.



This report also offers a full competitive analysis from target markets to product mapping, from selling strategies to production capabilities. In this research study, eight companies such as Google, IBM, Intel, Micron Technology, Microsoft, Sensory Inc., Nvidia, and Samsung were analyzed and profiled because they are the top revenue producers for deep learning. The eight profiled manufacturers are grouped in the quadrant. The leadership quadrant analyzes the relative strength among these players. The leadership quadrant addresses the need in the market for manufacturer evaluation based on objective data and metrics.



A total of 60 figures / charts and 6 tables are provided in this 140-pages report to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of this report, download the report brochure.

Collected from a series of primary vendor interviews and secondary sources, Lucintel provides its own scorecard for determining which of these companies is better aligned with future market opportunities and which has the ability to gain additional market share. Using its proprietary research methodology, Lucintel has developed a comparative analysis tool, the ‘Lucintel Leadership Quadrant,’ which identifies leaders and challengers in the deep learning market and rates each deep learning producer on two primary criteria as shown below:

  • Alignment with market opportunity
  • Ability to gain market share
In addition to the Lucintel Leadership Quadrant, this comprehensive research report also offers for consumers of deep learning as well as the investment community content-rich comparative analysis detailing which producers have the production capacity, service capabilities and vision to deliver fully on its promises.



Some of the features of this research study are as follows:



Leadership and competitive analysis:
  • Product mapping of leading players
  • Benchmarking of financial strength of leading players
  • Leadership quadrant / strategic positioning of players
  • Leaders
  • Contenders
  • Visionaries
  • Specialists
Market shares of leading players in various regions:
  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World
Profiles of leading players in terms of below parameters:
  • Product positioning
  • Market positioning
  • Financial strength
  • Revenue breakdown by market segments
  • Revenue breakdown by regions
  • Organizational capabilities
  • Innovation and market leadership
Designed for the industry professionals, financial services firms, and users of deep learning, this report titled “Lucintel Leadership Quadrant and Strategic Positioning of Deep Learning Suppliers” is the industry’s comprehensive examination of the deep learning producers’ competitive landscape.



This unique report from Lucintel will provide you with valuable information, insights, and tools needed to identify new growth opportunities and operate your business successfully in this market. This report will save hundreds of hours of your own personal research time and will significantly benefit you in expanding your business in this market. This report answers following key questions:

  • What are the market shares of suppliers in various end use segments such as in healthcare, retail, automotive, security, financial technology (fintech), and others market?
  • Who are the market leaders in various regions and what are their market shares?
  • Which companies are more aligned with market opportunities and which companies have ability to gain market share?
  • What are the key differentiators for major suppliers?
  • Which company has the widest product range and how the product mapping looks among various players?
  • Which companies will gain market share?
  • Please Note: The report will take 4-5 weeks to deliver upon order confirmation


    1. Leadership Analysis
    1.1: Market Description
    1.2: Scoring Criteria
    1.3: Leadership Quadrant Analysis
    1.3.1: Leaders (Top Right)
    1.3.2: Contenders (Bottom Right)
    1.3.3: Visionaries (Top Left)
    1.3.4: Specialists (Lower Left)
    2. Competitive Benchmarking
    2.1: Product Portfolio Analysis
    2.2: Financial Strength
    2.3: Market Share Analysis
    2.3.1: Market Share in Various Segments
    2.3.2: Market Share in Various Regions
    3. Google Profile
    3.1: Company Overview
    3.1.1: Google Company Description and Business Segments
    3.1.2: Google Company Statistics
    3.2: Deep Learning Business Overview
    3.2.1: Deep Learning Business Segment
    3.2.2: Global Deep Learning Operations
    3.2.3: Key Differentiators and Strengths
    3.3: Products and Product Positioning
    3.3.1: Product Line Overview
    3.3.2: Deep Learning Product Mapping
    3.3.3: Product Positioning in Market Segments
    3.4: Markets and Market Positioning
    3.4.1: Market Position in Global Deep Learning Business
    3.5: Revenue Breakdown by Market Segments
    3.6: Revenue Breakdown by Regions
    3.7: Production
    3.7.1: Global Manufacturing Operations
    3.8: Innovation and Market Leadership
    3.9: Marketing, Sales, and Organizational Capabilities
    3.9.1: Marketing and Sales
    3.9.2: Management Commitment and Track Record
    3.10: Financial Strength
    4. IBM Profile
    4.1: Company Overview
    4.1.1: IBM Company Description and Business Segments
    4.1.2 IBM Company Statistics
    4.2: Deep Learning Business Overview
    4.2.1: Deep Learning Business Segment
    4.2.2: Global Operations in Deep Learning
    4.2.3: Key Differentiators and Strengths
    4.3: Products and Product Positioning
    4.3.1: Product Line Overview
    4.3.2: Deep Learning Product Mapping
    4.3.3: Product Positioning in Market Segments
    4.4: Markets and Market Positioning
    4.4.1: Market Position in Global Deep Learning Business
    4.5: Revenue Breakdown by Market Segments
    4.6: Revenue Breakdown by Regions
    4.7: Production
    4.7.1: Global Manufacturing Operations
    4.8: Innovation and Market Leadership
    4.9: Marketing, Sales, and Organizational Capabilities
    4.9.1: Marketing and Sales
    4.9.2: Management Commitment and Track Record
    4.10: Financial Strength
    5. Intel Profile
    5.1: Company Overview
    5.1.1: Intel Company Description and Business Segments
    5.1.2: Intel Company Statistics
    5.2: Deep Learning Business Overview
    5.2.1: Deep Learning Business Segment
    5.2.2: Global Deep Learning Operations
    5.2.3: Key Differentiators and Strengths
    5.3: Products and Product Positioning
    5.3.1: Product Line Overview
    5.3.2: Product Mapping
    5.3.3: Product Positioning in Market Segments
    5.4: Markets and Market Positioning
    5.4.1: Market Position in Global Deep Learning Business
    5.5: Revenue Breakdown by Market Segments
    5.6: Revenue Breakdown by Regions
    5.7: Production
    5.7.1: Global Manufacturing Operations
    5.8: Innovation and Market Leadership
    5.9: Marketing, Sales, and Organizational Capabilities
    5.9.1: Marketing and Sales
    5.9.2: Management Commitment and Track Record
    5.10: Financial Strength
    6. Micron Technology Profile
    6.1: Company Overview
    6.1.1: Micron Technology Company Description and Business Segments
    6.1.2: Micron Technology Company Statistics
    6.2: Deep Learning Business Overview
    6.2.1: Deep Learning Business Segment
    6.2.2: Global Deep Learning Operations
    6.2.3: Key Differentiators and Strengths
    6.3: Products and Product Positioning
    6.3.1: Product Line Overview
    6.3.2: Deep Learning Product Mapping
    6.3.3: Product Positioning in Market Segments
    6.4: Markets and Market Positioning
    6.4.1: Market Position in Global Deep Learning Business
    6.5: Revenue Breakdown by Market Segments
    6.6: Revenue Breakdown by Regions
    6.7: Production
    6.7.1: Global Manufacturing Operations
    6.8: Innovation and Market Leadership
    6.9: Marketing, Sales, and Organizational Capabilities
    6.9.1: Marketing and Sales
    6.9.2: Management Commitment and Track Record
    6.10: Financial Strength
    7. Microsoft Profile
    7.1: Company Overview
    7.1.1: Microsoft Company Description and Business Segments
    7.1.2: Microsoft Company Statistics
    7.2: Deep Learning Business Overview
    7.2.1: Deep Learning Business Segment
    7.2.2: Global Deep Learning Operations
    7.2.3: Key Differentiators and Strengths
    7.3: Products and Product Positioning
    7.3.1: Product Line Overview
    7.3.2: Deep Learning Product Mapping
    7.3.3: Product Positioning in Market Segments
    7.4: Markets and Market Positioning
    7.4.1: Market Position in Global Deep Learning Business
    7.5: Revenue Breakdown by Market Segments
    7.6: Revenue Breakdown by Regions
    7.7: Production
    7.7.1: Global Manufacturing Operations
    7.8: Innovation and Market Leadership
    7.9: Marketing, Sales, and Organizational Capabilities
    7.9.1: Marketing and Sales
    7.9.2: Management Commitment and Track Record
    7.10: Financial Strength
    8. Sensory Profile
    8.1: Company Overview
    8.1.1: Sensory Company Description and Business Segments
    8.1.2: Sensory Company Statistics
    8.2: Deep Learning Business Overview
    8.2.1: Deep Learning Business Segment
    8.2.2: Global Deep Learning Operations
    8.2.3: Key Differentiators and Strengths
    8.3: Products and Product Positioning
    8.3.1: Product Line Overview
    8.3.2: Deep Learning Product Mapping
    8.3.3: Product Positioning in Market Segments
    8.4: Markets and Market Positioning
    8.4.1: Market Position in Global Deep Learning Business
    8.5: Revenue Breakdown by Market Segments
    8.6: Revenue Breakdown by Regions
    8.7: Production
    8.7.1: Global Manufacturing Operations
    8.8: Innovation and Market Leadership
    8.9: Marketing, Sales, and Organizational Capabilities
    8.9.1: Marketing and Sales
    8.9.2: Management Commitment and Track Record
    8.10: Financial Strength
    9. Nvidia Profile
    9.1: Company Overview
    9.1.1: Nvidia Company Description and Business Segments
    9.1.2: Nvidia Company Statistics
    9.2: Deep Learning Business Overview
    9.2.1: Deep Learning Business Segment
    9.2.2: Global Deep Learning Operations
    9.2.3: Key Differentiators and Strengths
    9.3: Products and Product Positioning
    9.3.1: Product Line Overview
    9.3.2: Deep Learning Product Mapping
    9.3.3: Product Positioning in Market Segments
    9.4: Markets and Market Positioning
    9.4.1: Market Position in Global Deep Learning Business
    9.5: Revenue Breakdown by Market Segments
    9.6: Revenue Breakdown by Regions
    9.7: Production
    9.7.1: Global Manufacturing Operations
    9.8: Innovation and Market Leadership
    9.9: Marketing, Sales, and Organizational Capabilities
    9.9.1: Marketing and Sales
    9.9.2: Management Commitment and Track Record
    9.10: Financial Strength
    10. Samsung Profile
    10.1: Company Overview
    10.1.1: Samsung Company Description and Business Segments
    10.1.2: Samsung Company Statistics
    10.2: Deep Learning Business Overview
    10.2.1: Deep Learning Business Segment
    10.2.2: Global Deep Learning Operations
    10.2.3: Key Differentiators and Strengths
    10.3: Products and Product Positioning
    10.3.1: Product Line Overview
    10.3.2: Deep Learning Product Mapping
    10.3.3: Product Positioning in Market Segments
    10.4: Markets and Market Positioning
    10.4.1: Market Position in Global Deep Learning Business
    10.5: Revenue Breakdown by Market Segments
    10.6: Revenue Breakdown by Regions
    10.7: Production
    10.7.1: Global Manufacturing Operations
    10.8: Innovation and Market Leadership
    10.9: Marketing, Sales, and Organizational Capabilities
    10.9.1: Marketing and Sales
    10.9.2: Management Commitment and Track Record
    10.10: Financial Strength

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