Insights on the Computer Vision in Navigation Global Market to 2027 - Emerging Adoption of Advanced Technologies Such as Blockchain in Autonomous Vehicles Presents Opportunities - ResearchAndMarkets.c

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Aug 19, 2022 09:27 am

The "Computer Vision in Navigation Market Research Report by Component (Hardware and Software), Product, Application, Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2027 - Cumulative Impact of COVID-19" report has been added to's offering.

The Global Computer Vision in Navigation Market size was estimated at USD 681.56 million in 2021, USD 780.00 million in 2022, and is projected to grow at a CAGR 14.61% to reach USD 1,545.44 million by 2027.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Computer Vision in Navigation Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Computer Vision in Navigation Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Computer Vision in Navigation Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Computer Vision in Navigation Market?

4. What is the competitive strategic window for opportunities in the Global Computer Vision in Navigation Market?

5. What are the technology trends and regulatory frameworks in the Global Computer Vision in Navigation Market?

6. What is the market share of the leading vendors in the Global Computer Vision in Navigation Market?

7. What modes and strategic moves are considered suitable for entering the Global Computer Vision in Navigation Market?

Market Dynamics


  • Increasing demand for highly autonomous vehicles and need for road safety
  • Favorable government policies in infrastructure development for connected and autonomous vehicle
  • Rising adoption of deep learning for image processing


  • Relatively high cost of vision system components


  • Emerging adoption of advanced technologies such as blockchain in autonomous vehicles
  • Ongoing demand for mobility-as-a-service (MaaS)


  • Issues related to cyber attacks

Companies Mentioned

  • ABB Ltd.
  • Beeline SG
  • Citymapper Limited
  • Furuno Electric Co., Ltd.
  • General Dynamics Corporation
  • Honeywell International Inc.
  • Kongsberg Gruppen
  • L3 Technologies, Inc.
  • Northrop Grumman Corporation
  • RH Marine Group
  • Rolls-Royce Motor Cars Limited
  • Thales Group
  • Trimble Inc.

For more information about this report visit
Laura Wood, Senior Press Manager
[email protected]
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