Market Research

Reinforcement Learning – Startup Ecosystem Booming Segments; Investors Seeking Growth

Jul 1, 2020 6:14 PM ET
iCrowd Newswire – Jul 1, 2020

A latest survey on Reinforcement Learning – Startup Ecosystem Market is conducted to provide hidden gems performance analysis. The study is a perfect mix of qualitative and quantitative information covering market size breakdown of revenue and volume (if applicable) by important segments. The report bridges the historical data from 2014 to 2019 and forecasted till 2025*. The outbreak of covid-19 in global market haves made companies uncertain about their future secario as the prolonged lock-down finds serious economic slump. Some are the key & emerging players that are part of coverage and have being profiled are 1. Osaro, 2. OpenAI, 3. Acutronic Robotics, 4. Wayve, 5. Kindred, 6. Prowler.io, 7. Cerebri AI, 8. Micropsi Industries, 9. CogitAI, 10. InstaDeep, 11. Latent Logic, 12. NeuDax, 13. Ascent Robotics, 14. Context Scout, 15. Wasteless, 16. Insilico Medicine, 17. ProteinQure, 18. Evo.Do, 19. Remi, 20. Optimal, 21. AiGent-Tech, 22. Learnable AI, 23. HiHedge, 24. Covariant.AI, 25. AIdentify, 26. Nnaisense, 27. PerimeterX, 28. Incelligent, 29. Cogent Labs, 30. Pricemoov, 31. Dataone, 32. Intelligent Layer, 33. Kinta AI, 34. Omina Technologies, 35. Deeplite, 36. Free Machines, 37. Dorabot, 38. Applied Brain Research, 39. Neurocat.

Click to get Reinforcement Learning – Startup Ecosystem Market Research Sample PDF Copy Here @: https://www.htfmarketreport.com/sample-report/2210062-reinforcement-learning-startup-ecosystem-analysis

Reinforcement learning is the next revolution in artificial intelligence (AI). As a feedback-driven and agent-based learning technology stack that is suitable for dynamic environments, reinforcement learning methodologies leverage self-learning capabilities and multi-agent potential to address issues that are unaddressed by other AI techniques. In contrast, other machine learning, AI techniques like supervised learning and unsupervised learning are limited to handling one task at a given time.

With the advent of Artificial General Intelligence (AGI), reinforcement learning becomes important in addressing other challenges like multi-tasking of intelligent applications across different ecosystems. The technology appears set to drive the adoption of AGI technologies, with companies futureproofing their AGI roadmaps by leveraging reinforcement learning techniques.

This report provides an analysis of the startups focused on reinforcement learning techniques across industries.

Startup Ecosystem

We describe the importance of agent-based learning methods and the core concepts related to reinforcement learning. The section includes a comparison of machine learning techniques, and an overview of topics like imitation learning, AGI, and model-based and model-free reinforcement learning algorithms. Further, we outline how reinforcement learning techniques can help address the current challenges of various industries in developing next-generation solutions.

The report includes an analysis of startups leveraging reinforcement learning algorithms in key sectors like automotive, retail, industrial, financial services, robotics, healthcare, IoT, food industry, and several others. We cover 39 startups, out of which some prominent startups like Osaro, Kindred, Micropsi Industries, Wayve, Cerebri AI, and OpenAI have been reported in detail.

Analysis of these startups has been undertaken basis their technologies, offerings, patenting activities, and future outlooks. Additionally, an overview of other startups including Latent Logic, NeuDax, Nnaisense PerimeterX, Deeplite, and Context Scout, which are leveraging reinforcement learning algorithms, has been covered in the ambit of the report.

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Key insights:

– Reinforcement learning is a prime technology for the of future self-learning, self-optimizing and other self-driving abilities needed in autonomous applications across industries.

– Automotive, retail, ecommerce, and robotics is crowded with startups developing reinforcement learning techniques.

– Reinforcement learning can address the requirements related to dynamic decision-making in autonomous vehicles targeting level 5 autonomy.

– Other sectors exploring reinforcement learning are healthcare, financial services, food industry, manufacturing, education and telecom.

– Startups that are offering reinforcement learning techniques in robotic solutions are focusing on robots as a service business model.

Important Features that are under offering & key highlights of the Reinforcement Learning – Startup Ecosystem market report:
1. Why lots of Key players are not profiled in Study?
–> The study is conducted by collecting data of various companies from the industry, and the base for coverage is NAICS standards. However, the study is not limited to profile only few companies. Currently the research report is listed with players like 1. Osaro, 2. OpenAI, 3. Acutronic Robotics, 4. Wayve, 5. Kindred, 6. Prowler.io, 7. Cerebri AI, 8. Micropsi Industries, 9. CogitAI, 10. InstaDeep, 11. Latent Logic, 12. NeuDax, 13. Ascent Robotics, 14. Context Scout, 15. Wasteless, 16. Insilico Medicine, 17. ProteinQure, 18. Evo.Do, 19. Remi, 20. Optimal, 21. AiGent-Tech, 22. Learnable AI, 23. HiHedge, 24. Covariant.AI, 25. AIdentify, 26. Nnaisense, 27. PerimeterX, 28. Incelligent, 29. Cogent Labs, 30. Pricemoov, 31. Dataone, 32. Intelligent Layer, 33. Kinta AI, 34. Omina Technologies, 35. Deeplite, 36. Free Machines, 37. Dorabot, 38. Applied Brain Research, 39. Neurocat

2. Do Scope of Market Study allows further Segmentation?
—> Yes, for a deep dive we do provide add-on segmentation in premium version of report to better derive market values. The standard version of this report covers segmentation by Application, by Type and by Regions [1. Osaro, 2. OpenAI, 3. Acutronic Robotics, 4. Wayve, 5. Kindred, 6. Prowler.io, 7. Cerebri AI, 8. Micropsi Industries, 9. CogitAI, 10. InstaDeep, 11. Latent Logic, 12. NeuDax, 13. Ascent Robotics, 14. Context Scout, 15. Wasteless, 16. Insilico Medicine, 17. ProteinQure, 18. Evo.Do, 19. Remi, 20. Optimal, 21. AiGent-Tech, 22. Learnable AI, 23. HiHedge, 24. Covariant.AI, 25. AIdentify, 26. Nnaisense, 27. PerimeterX, 28. Incelligent, 29. Cogent Labs, 30. Pricemoov, 31. Dataone, 32. Intelligent Layer, 33. Kinta AI, 34. Omina Technologies, 35. Deeplite, 36. Free Machines, 37. Dorabot, 38. Applied Brain Research, 39. Neurocat]

3. What value addition does Country landscape will provide?
—> In the premium version of report, two-level of regional segmentation allows user to have access to country level break-up of market Size by revenue and volume*
* Wherever applicable

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Key questions addressed:

– What are the advantages offered by reinforcement learning algorithms in comparison with the other machine learning models?

– What are the basic concepts in reinforcement learning?

– How can reinforcement learning address the technical requirements of different sectors and emerging applications?

– What is nature and size of the startup ecosystem for reinforcement learning and how is it changing the landscape of traditional artificial intelligence?

– What are the target industries and application areas for the new companies?

– What are the technologies, future roadmap, partnership activities, limitations, and offerings of the reinforcement learning- focused startups across industries?

– What are the potential collaboration opportunities for different industry segments to leverage reinforcement learning solutions for their businesses?

HTF MI also provides customized specific regional and country-level reports for the following areas.
• North America: United States, Canada, and Mexico.
• South & Central America: Argentina, Chile, and Brazil.
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
• Europe: the United Kingdom, France, Italy, Germany, Spain, and Russia.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia etc.

Browse for Full Report at @: https://www.htfmarketreport.com/reports/2210062-reinforcement-learning-startup-ecosystem-analysis
Actual Numbers & In-Depth Analysis, Business opportunities, Market Size Estimation Available in Full Report.

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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