Artificial Intelligence driven Marketing Communications
The Global Machine Learning Market accounted for US$ 1,289.5 Mn in 2016 and is expected to grow at a CAGR of 49.7% during the forecast period 2017 – 2025, to account for US$ 39,986.7 Mn in 2025.
With the advancement in computing and storage technology, computing power has increased multi-fold during the last decade. This has created new capabilities for managing and computing the big sets of data and when coupled with machine learning technology, has delivered best insights to the businesses. Availability of massive amount of data, and demand for superior customer service, efficient operations and improve sales revenue are the two key factors significantly driving the growth of machine learning market.
Download Sample PDF [email protected] https://www.theinsightpartners.com/sample/TIPTE100000804/
The List of Companies
1. Amazon Web Services, Inc.
2. Fair Isaac Corporation
3. Google, Inc.
4. Hewlett Packard Enterprise
5. IBM Corporation
6. Microsoft Corporation
7. SAP SE
8. BigML, Inc.
10. SAS Institute
Machine Learning Market Insights
Demand for superior customer service, efficient operations, and improved sales revenue
All the industries across the region are embracing IoT, big data, analytics to further explore the use cases for businesses and provide superior customer services, adopt efficient business operations, and improve the sales revenue. The nature of the business is becoming very competitive and to compete efficiently, enterprises nowadays relying more on business analytics. Traditionally, business analytical tools were used to project sales from the data about events that were a week or month old. With the advancement of machine learning technology which learns at real time and provides real-time recommendations or patterns, which helps in offering personalized user experience, computing real-time dynamic pricing, optimizing supply chain management and so on. These features are expected to fuel the machine learning market during the forecast period.
Rising adoption of cloud-based machine learning
By the end of 2017, the cloud computing industry had achieved significant adoption across all the major industries worldwide. Owing to this trend the companies are anticipated to produce high-quality service by adopting cloud-based machine learning services. The machine learning technology is quite expensive and complex to be built in-house by every enterprise. Not every mid-size or to some extent even the large enterprises may not require the full applications of machine learning technology. The specific use of machine learning to the specific use cases for each enterprise is considered as the best business model of machine learning technology. Hence, in the coming years, cloud adoption is further expected to gain high traction and expected to become a priority for each type of enterprises. This impact of cloud-based machine learning services would result in generating multiple opportunities for the vendors in machine learning market.
Table of Content:
2 Key Takeaways
3 GEO Satellite Market Landscape
4 GEO Satellite Market – Key Industry Dynamics
5 GEO Satellite Market Analysis- Global
6 GEO Satellite Market Revenue and Forecasts to 2025 – Deployment Model
7 GEO Satellite Market Revenue and Forecasts to 2025 –Type
8 GEO Satellite Market Revenue and Forecasts to 2025 – Organization Size
9 GEO Satellite Market Revenue and Forecasts to 2025 – Application
10 GEO Satellite Market Revenue and Forecasts to 2025 – Geographical Analysis
11 Industry Landscape
12 Competitive Landscape
13 GEO Satellite Market, Key Company Profiles
Purchase This Report at https://www.theinsightpartners.com/buy/TIPTE100000804/
Key Benefits of Buying this Research Study:
Note: If you have any special requirements, please let us know and we will offer you the report as you want.
The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We are a specialist in Technology, Healthcare, Manufacturing, Automotive and Defense.
Email: [email protected]