Asia-Pacific is the fastest growing precision medicine market in the world. Major countries like China, India and Japan are adopting healthcare technologies at a rapid pace, resulting in improvements in the treatments and solutions for uncommon diseases. This is why the demand for precision medicine is also increasing. The market is expected to expand in the region because of advancements in recent research which are helping in the diagnosis of diseases, its appropriate risks and optimal therapy. According to Netscribes, the Asia-Pacific precision medicine market is projected to grow at a compound annual growth rate (CAGR) of 16.63%, leading to a revenue of USD 20.90 Bn by 2023.
China is dominating the precision medicine market due to its ageing population and rise in the rate of chronic diseases. India is experiencing the fastest growth in the Asia- Pacific region. Rising investments in research and development have also triggered the growth of the precision medicine market.

The Asia-Pacific precision medicine market is classified into three primary segments: based on ecosystem players: pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies; based on therapeutics: cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases; and based on technology: big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics.
Diagnostic tool companies are expected to exhibit the highest growth rate in the region due to increased investments in research and technology, and clinical trials in the region. The cancer therapeutics segment is expected to register the highest growth rate during the forecasted period 2018-2023 due to higher incidence of cancer.

Key growth factors

The adoption of gene therapy – which is essential for the development of precision medicine – is responsible for the growth of the market. Further, the increasing rate of chronic diseases and enhancements in big data analytics will also drive the precision medicine market during the forecasted period of 2018-2023.
Asia-Pacific is expected to become one of the most prominent markets by 2023 for precision medicine because of favorable reimbursement policies which will help businesses expand across borders.

Threats and key players

There is limited adoption (less than 50%) of electronic health records in Asia-Pacific countries like India, Indonesia, etc. This is resulting in the absence of proper healthcare information systems, which are important components of precision medicine to capture vital patient data. This limits the deployment of advanced healthcare solutions like precision medicine.
The adoption of high-end genomic technologies and artificial intelligence tools like N-of-One, WuxiNextCode, etc., are expected to face difficulties in the region due to inadequate healthcare facilities.
The major players operating in the Asia-Pacific precision medicine market are Pfizer, Novartis, Teva pharmaceuticals Industries etc.

Whats covered in the report?

1. Overview of the Asia-Pacific precision medicine market.
2. Market drivers and challenges in the Asia-Pacific precision medicine market.
3. Market trends in the Asia-Pacific precision medicine market.
4. Historical, current, and forecasted market size data for the segments of the Asia-Pacific precision medicine market, based on ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies)  by revenue (USD Bn).
5. Historical, current and forecasted market size data for the segments of the Asia-Pacific precision medicine market , based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases)  by revenue (USD Bn).
6. Historical, current and forecasted market size data for the Asia-Pacific precision medicine market segmentation by technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics) – by revenue (USD Bn).
7. Historical, current and forecasted country-wise (China, India and Japan) market size data (USD Bn) for the Asia-Pacific precision medicine market and its segmentations by ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies), by therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder and infecti

The post Asia-Pacific Precision Medicine Market (2018-2023) first appeared on CRI Report.

Precision medicine is reshaping the healthcare sector in Europe. Europe is the second largest revenue-generating region for the precision medicine market. The growth of the precision medicine market in European countries is mainly due to the adoption of gene therapy and an ageing population, among others. European countries like The U.K and Germany are experiencing growth in the region due to investments in research and development, along with rising incidence of chronic ailments. According to Netscribes, the European precision medicine market is projected to expand at a compound annual growth rate (CAGR) of 13.40%, leading to a revenue of USD 29.93 Bn by 2023.

Technological progress in big data analytics will help create opportunities for the precision medicine market. Diagnostic tool companies will also generate demand for the precision medicine market in the region. Due to the number of precision medicine solutions and medications offered in Germany, it is expected to have an important share in the region.
The European precision medicine market is classified into three primary segments: based on ecosystem players: pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies; based on therapeutics: cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases; and based on technology: big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics.

The cancer therapeutics segment is expected to exhibit the highest growth rate in this region. This is because rising incidence of cancer will create demand for its treatment. In the long run, genetic differentiation will increase demand for tailored cancer therapeutics. In the technology segment, big data analytics is expected to register a high growth rate through the forecast period of 2018-2023.

Key growth factors

Rising incidences of Alzheimers disease and other neurological disorders, along with increased awareness to prevent them, will create demand for the precision medicine market. An increase in the use of targeted therapies and medicines will help the growth of pharmaceutical and biotech companies in Europe. Companion diagnostics providers will improve the data collection, which will in turn, boost the precision medicine market

Threats and key players

Rising healthcare costs in the European region is one of the challenges for the precision medicine market, which will restrict its adoption in the region. Concerns regarding privacy and the security of personal data, are expected to adversely affect the growth of precision medicine market in Europe.
The major players operating in the Europe precision medicine market are Almac Group, GE healthcare, Novartis, etc.

Whats covered in the report?

1. Overview of the Europe precision medicine market.
2. Market drivers and challenges in the Europe precision medicine market.
3. Market trends in the Europe precision medicine market.
4. Historical, current and forecasted market size data for the North America precision medicine market segmentation by ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies)  by revenue (USD Bn).
5. Historical, current and forecasted market size data for the North America precision medicine market segmentation by therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases)  by revenue (USD Bn).
6. Historical, current and forecasted market size data for the North America precision medicine market segmentation by technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics) – by revenue (USD Bn).
7. Historical, current and forecasted country-wise (U.S. and Canada) market size data (USD Bn) for the North America precision medicine market and its segmentations by ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies), by therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases), and by technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics).
8. Analysis of the competitive landscape and profiles of major companies operating in the market.

Why buy?

1. Unders

The post Europe Precision Medicine Market (2018-2023) first appeared on CRI Report.

Precision medicine is a combination of molecular biology techniques and system biology. Big data analytics is expected to drive the market in Latin America. Latin American countries like Brazil, Mexico and Argentina are focusing on providing personalized treatment and therapies to the population, with the use of technologies like next-generation sequencing (NGS), data analytics, etc. Pharmaceuticals and biotech companies are expected to drive the market during the forecast period of 2018-2023, due to the emergence of drug discovery technologies. According to Netscribes, the Latin America precision medicine market is expected to expand at a compound annual growth rate (CAGR) of 9.35% leading to a revenue of USD 6.48 Bn by 2023.

Owing to huge investments in diagnostic research and development in Latin America, there is ample scope for the market to grow during the forecasted period of 2018-2023. Advancements in drug discovery technology, companion diagnostics, next-gene sequencing (NGS), etc will aid market growth in the coming years.
The Latin America precision medicine market is classified into three primary segments: based on ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies and healthcare IT specialists/big data companies); based on therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder and infectious diseases); and based on technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics and companion diagnostics).
In the technology segment, drug discovery holds the largest share in the Latin American precision medicine market, whereas big data analytics is expected to grow at the highest CAGR. Cancer comprises of the maximum share in the therapeutics segment due to the higher mortality rate due to cancer.

Key growth factors

Advancements in healthcare technology, demand for personalized medical solutions and treatments are the factors driving the precision medicine market in Latin America. The market is also being driven by favorable government laws and regulations for precision medicine. Due to these reasons the precision medicine market is expected to grow at a high CAGR.

Threats and key players

Public healthcare spending in the Latin American countries like Mexico and Brazil is low. So adoption of precision medicine and advanced healthcare support calls for high out-of-pocket spending, which can hinder the growth of the market. Around 31% of the Latin American population cannot access healthcare for economic reasons. Under such circumstances, the development and use of precision medicines can be challenging.
Major players in the Latin America precision medicine market are Pfizer, Novartis, Teva Pharmaceuticals Industries etc.

Whats covered in the report?

1. Overview of the Latin America precision medicine market.
2. Market drivers and challenges in the Latin America precision medicine market.
3. Market trends in the Latin America precision medicine market.
4. Historical, current and forecasted market size data for the Latin America precision medicine market segmentation by ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies)  by revenue (USD Bn).
5. Historical, current and forecasted market size data for the Latin America precision medicine market segmentation by therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases)  by revenue (USD Bn).
6. Historical, current and forecasted market size data for the Latin Americaprecision medicine market segmentation by technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics) – by revenue (USD Bn).
7. Historical, current and forecasted country-wise (Brazil, Mexico and Argentina) market size data (USD Bn) for the Latin America precision medicine market and its segmentations by ecosystem players (pharmaceuticals and biotech companies, clinical laboratories, diagnostic companies, healthcare IT specialists/big data companies), by therapeutics (cancer, cardiovascular, central nervous system, psychiatric disorder, infectious diseases), and by technology (big data analytics, bioinformatics, gene sequencing, pharmacogenomics, companion diagnostics).
8. Analysis of the competitive landscape and profiles of major companies operating in the market.

Why buy?

1. Understand the demand for precision medicine market to determine the viability of the market.
2. Determine the developed and emerging markets where precision medicine market is provided.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed.
6. Recognize the key competitors of this market and respond accordingly.
7. Know

The post Latin America Precision Medicine Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market in Asia-Pacific is expected to reach USD 10.00 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 51.3% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
Asia-Pacific will experience the highest CAGR in the machine learning market.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into China, India, Japan, South Korea, Australia and New Zealand (ANZ), the rest of Asia-Pacific.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
Machine learning is no longer a novelty in Asia-Pacific countries. Business sectors having realised its potential are using machine learning technologies to draw maximum insights from the available data to increase the efficiency of operations.

Key growth factors

The enormous population base together with a diverse industry mix, which has the potential to generate a huge amount of data, is significantly driving the machine learning market in the Asia-Pacific countries.
The availability of a robust data set, the adoption of machine learning techniques in traditional industries and strengthening of the pipeline of cohorts with exceptional talent is driving the machine learning market in the Asia-Pacific region.

Threats and key players

Ethical issues and biased data leading to biased decisions are a matter of concern which restricts further development of the machine learning market.
The connectivity standards available in the Asia-pacific region still falls below the worlds average. The digital divide is widening the gap among the sub-regions in the Asia-Pacific zone at an alarming rate. This again is causing a hindrance to the development in the machine learning market in this region.
The key players are Microsoft, Google Inc., IBM Watson, Amazon, Baidu, Intel, Facebook, Apple Inc., and Uber.

What is covered in the report?

1. Overview of the machine learning market in Asia-Pacific region.
2. Market drivers and challenges in the machine learning market in Asia-Pacific region.
3. Market trends in the machine learning market in Asia-Pacific region.
4. Historical, current and forecasted market size data for the machine learning market in Asia-Pacific region.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (China, India, Japan, South Korea, Australia and New Zealand (ANZ), the rest of Asia-Pacific) market size data for machine learning market.
10. Analysis of the machine learning market in Asia-Pacific by value chain.
11. Analysis of the competitive landscape and profiles of major compet

The post Asia-Pacific Machine Learning Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market in Europe is expected to reach USD 3.96 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 33.5% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
Europe stands in the second position after North America in the machine learning market.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into the European Union five (EU5), rest of Europe.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
The trend of supporting, educating, enforcing and steering the economy towards a machine learning-friendly environment is seen to be followed throughout Europe.
European countries are successfully bridging the gap between additional renewable energy and excess power into the grid by making ultra-accurate forecasts of the demand and supply in real time by making use of the machine learning technologies, thereby saving energy and cost.

Key growth factors

The world-class research facilities, the emerging start-up culture, the innovation and commercialisation of machine intelligence technologies is giving thrust to the machine intelligence market in Europe.
Amongst all regions, Europe has the largest share of intraregional data flow. This, together with the machine learning technologies, is boosting the market in Europe.
The excessive usage of the machine learning technology across economy in all facets of businesses is proving to be a big thrust to the machine learning market. Profound usage has been found in sectors such as agriculture, healthcare and media for optimisation of prices and carrying out predictive maintenance in manufacturing.

Threats and key players

Investors in Europe are more concerned about the ROI from investing in the machine learning market. The adoption of machine learning by the start-ups is a farce in Europe since research suggests that only 5% of the start-ups investing in machine learning end up with a revenue of more than $50 Mn in revenue. Also, opportunities for external investments are bleak.
The machine learning market is in a stage of infancy; there is a lacuna between the skills required and that which is inherent in the workers. It requires a considerable amount of time to pick up the skills. Also, the Europeans are concerned about the penetration of machine learning into their lives, and how it is going to impact employment in the country. Concerns environing these factors are hindering the further developments in the machine learning market.
Given that machine intelligence depends on the easy availability of data, the practice of data minimisation and data privacy standards act as a barrier to the further development of the machine learning market in Europe.
The key players are Microsoft, Google Inc., IBM Watson, Amazon, Intel, Facebook and Apple.

What is covered in the report?

1. Overview of the machine learning in Europe.
2. Market drivers and challenges in the machine learning in Europe.
3. Market trends in the machine learning in Europe.
4. Historical, current and forecasted market size data for the machine learning market in Europe.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (the European Union five (EU5), rest of Europe) market size data for machine learning market.
10. Analysis of machine learning market in Europe by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.
7. Knowledge of the initiatives and growth strategies taken by the major companies and decide on the direction of further growth.

The post Europe Machine Learning Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market in Latin America is expected to reach USD 0.93 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 24.8% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
Latin America is fast developing in the field of machine learning.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into Brazil, Mexico, Argentina, the rest of Latin America).
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
A notable trend of using machine learning in the health service sector is observed. The doctors use machine learning technologies to measure the likelihood of patients suffering from zika, dengue fever or chikungunya in order to prevent future outbreaks.
Machine learning has found its way into all kinds of industries. The Brazilian stock exchange makes intensive use of machine learning technologies to order out the chaos and put the theory into practice.

Key growth factors

Latin Americas drive towards digital economy has led to the companies transforming into intelligent enterprises improve business processes and install intelligent machines to take up routine work.

Threats and key players

75 to 81 percent of the people in Latin America possess low or medium skills. The less skilled and less educated will find it more difficult to pick up the skills necessary for the machine learning industry. This, therefore, acts as a hindrance to the further development in the machine learning market.
The lack of understanding as to why technology is essential is partially present. Theres also a belief that technology is not mature enough to give fruitful benefits from its utilisation. Also, the availability of proper data sets to use in the process of machine learning technologies is absent.
The key players are Microsoft, Google Inc., IBM Watson, Amazon, and Intel.

What is covered in the report?

1. Overview of the machine learning in Latin America.
2. Market drivers and challenges in the machine learning in Latin America.
3. Market trends in the machine learning in Latin America.
4. Historical, current and forecasted market size data for the machine learning in Latin America.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (Brazil, Mexico, Argentina, The rest of Latin America) market size data for machine learning market.
10. Analysis of machine learning market in Latin America by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.

The post Latin America Machine Learning Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market in Middle East and Africa is expected to reach USD 0.50 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 29.1% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into The UAE, Saudi Arabia, South Africa, Rest of Middle East and Africa.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
The use of machine learning in healthcare has gained grounds in recent times. The hospitals in the Middle East are making use of the machine learning technologies for making a diagnosis of the diseases that may crop up in future, and for more precise analysis, prevention and treatment of individuals.

Key growth factors

The labour intensive sectors like retail and healthcare have taken up the use of machine learning to provide better consumer experiences. The urge for automation in these sectors is driving the machine learning market in the Middle East and Africa.
The high growth in the start-up culture with the government encouraging innovation has led them to make ample amount of investments in machine learning technologies, which in turn is driving the machine learning market.
Threats and key players

The adoption of machine learning in all the industries is going to be a slow process in Africa until and unless infrastructure and consumer spending power improves.
The unavailability of cohorts with adequate machine learning skills act as a barrier to the further development in the machine learning market.
The key players are Google Inc., Microsoft, IBM Watson, Amazon, and Intel.

What is covered in the report?

1. Overview of the machine learning market in the Middle East and Africa.
2. Market drivers and challenges in the machine learning in the Middle East and Africa.
3. Market trends in the machine learning in the Middle East and Africa.
4. Historical, current and forecasted market size data for the machine learning market in the Middle East and Africa.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others)
9. Historical, current and forecasted regional (The UAE, Saudi Arabia, South Africa, Rest of the Middle East and Africa) market size data for machine learning market.
10. Analysis of machine learning market in the Middle East & Africa by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.
7. Knowledge of the initiatives and growth strategies taken by the major companies and decide on the direction of further growth.

The post Middle East and Africa Machine Learning Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market in North America is expected to reach USD 8.07 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 43.4% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
North America has the most significant share of the machine learning market.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into the U.S. and Canada.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.

There is a notable trend of using machine learning models in the media and entertainment industry. This is done to better the customer experiences, keep them engaged by providing them relevant content and make a drive towards greater viewer personalisation.
Insurance companies in North America are using machine learning algorithms to access the market trends for maximising business opportunities. Similarly, prospects of new developments in the product market are informed to the clients by applying machine learning algorithms to the available client data.
The tech-savvy consumers in North America are providing a myriad of opportunities to this machine learning market. The urge for exact prediction in all facets of life has pushed every organisation, irrespective of the industry they belong to, to use data to drive value and to provide more personalised user experience.

Key growth factors

The outbreak of mobile computing systems in the last decade, which paved the way for easy collection and transmission of data across platforms, has led to the emergence of big data on which machine learning is hugely dependent now, giving a boost to the machine learning market in North America.
Predictive analytics help in taking preventive measures for probable health emergencies by looking at the data for key health indicators. This drives machine learning in the hospitals of North America.

Threats and key players

There is a detachment between the actual potential and how machine learning is being used in the real world. A lot of research and development (R&D) is being done to push the boundary a bit further. Inability to realise the full value, the made investments may give a severe backlash to this machine learning market in North America.
The key players are Microsoft, Google Inc., IBM Watson, Amazon, Baidu, Intel, Facebook, Apple Inc., and Uber.

What is covered in the report?

1. Overview of the machine learning market in North America.
2. Market drivers and challenges in the machine learning in North America.
3. Market trends in the machine learning in North America.
4. Historical, current and forecasted market size data for the machine learning in North America.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (US, Canada) market size data for the machine learning market.
10. Analysis of North America machine learning market by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.
7. Knowledge of the initiatives and growth strategies taken by the major companies and decide on the direction of further growth.

The post North America Machine Learning Market (2018-2023) first appeared on CRI Report.

The value of the machine learning market is expected to reach USD 23.46 Bn by 2023, expanding at a compound annual growth rate (CAGR) of 42.6% during 2018-2023.
Machine learning the ability of computers to learn through experiences to improve their performance. Separate algorithms and human intervention are not required to train the computer. It merely learns from its past experiences and examples. In recent times, this market has gained utmost importance due to the increased availability of data and the need to process the data to obtain meaningful insights.
North America has the most significant share of the machine learning market, while Asia-Pacific is expected to witness the highest CAGR.

The market can be classified into four primary segments based on components, service, organization size and application.
Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
Based on components the market can be segmented into software tools, cloud and web-based application programming interfaces (APIs) and others.
Based on service, the sub-segments are composed of professional services and managed services.
Based on organization size, the sub-segments include small and medium enterprises (SMEs) and large enterprises.
Based on application, the market is divided into the sub-segments, banking, financial services and insurance (BFSI), automotive, healthcare, government and others.
The trend of using machine learning techniques in the healthcare sector, financial sector and retail sector are widespread. The world is moving towards a connected business world to make data-powered decisions.

Key growth factors

A large amount of data that is generated by the industries provide an impetus to this market. Also, an increased usage of deep learning techniques in the various industries is also one of the reasons giving thrust to the market. A lot of research and development (R&D) is done to improve the efficiency of the output provided by the machine learning market.
Technological advancement, proliferation of data and the dire need to derive maximum information from the available data have been identified as the key reasons for the growth in this market.

Threats and key players

Although an enormous amount of money has been spent, there remains an uncertainty environing how the deep training net works. Also, professionals are not equipped with adequate machine learning skills in the market. Wrong program formulations would lead to biased results, leading to difficulty in analysis.
The inefficiency of the cloud infrastructures in the developing countries, which are needed to store and seamlessly access data, act as a hurdle to the growth in this market.
The key players are Google Inc., Microsoft, IBM Watson, Amazon, Baidu, Intel, Facebook, Apple Inc., and Uber.

What is covered in the report?

1. Overview of the machine learning market.
2. Market drivers and challenges in the machine learning market.
3. Market trends in the machine learning market.
4. Historical, current and forecasted market size data for the machine learning market.
5. Historical, current and forecasted market size data for the components segment (software tools, cloud and web-based APIs and others).
6. Historical, current and forecasted market size data for the service segment (professional services and managed services).
7. Historical, current and forecasted market size data for the organisation size segment (SMEs and large enterprises).
8. Historical, current and forecasted market size data for the application segment (BFSI, automotive, healthcare, government and others).
9. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for machine learning market.
10. Analysis of the global machine learning market by value chain.
11. Analysis of the competitive landscape and profiles of major competitors operating in the market.

Why buy?

1. Understand the demand for machine learning to determine the viability of the market.
2. Determine the developed and emerging markets for machine learning.
3. Identify the challenge areas and address them.
4. Develop strategies based on the drivers, trends and highlights for each of the segments.
5. Evaluate the value chain to determine the workflow.
6. Recognize the key competitors of this market and respond accordingly.
7. Knowledge of the initiatives and growth strategies taken by the major companies and decide on the direction of further growth.

The post Global Machine learning market (2018-2023) first appeared on CRI Report.

Sources: MRFR analysis
Regional Analysis
The global magnesium sulphate market is spanned over Asia Pacific, Europe, North America, the Middle East, and Latin America. Among them, the Asia Pacific region is estimated to be the leading market share and expected to hold around 41% of the total market share followed by Europe and North America. The demand for magnesium sulphate is estimated to surge in numerous countries of Asia Pacific such as China, Japan, India, Indonesia, and Rest of Asia Pacific on account of the continuous growth of agriculture and industrial sector. As of 2016, China is predicted to dominate the regional market share with a value of around USD 197.8 million and is estimated to retain its dominance over the forecast period with a healthy CAGR of 6.93%. Furthermore, Malaysia and Indonesia are among the leading importers in this region due to a wide utilization of magnesium sulphate in personal care and agriculture industries. Some of the protuberant factors attributed to the regional magnesium sulphate market growth are the continuous growth of the agricultural industry, increasing per capita disposable income, inexpensive labor & land cost, minimal regulatory norms, and continuous shift of production facilities from matured markets to the emerging economies of Asia Pacific.

Asia Pacific is followed by Europe which is further trailed by North America in terms of market share. Germany, Belgium, and Russia are among the key contributors in the regional market growth due to increasing production activities in this region. In North America, the U.S. and Canada are expected to hold a major share in the regional market due to improved lifestyle coupled with growing consumption of personal care products in this region. Developing countries of Latin America and the Middle East and Africa is estimated to witness healthy growth owing to increasing consumer base for personal care sector along with the growth of local pharmaceutical companies.

Segmentation
The magnesium sulfate market is segmented based on type, form, application, and region. Based on type, the market is categorized into heptahydrate (Epsom salt), anhydrous magnesium sulphate, monohydrate magnesium sulphate, others. Based on form, the market is classified into crystal, powder, and granules. Based on application, magnesium sulphate market is classified into fertilizer, medical & personal care, food additive, industrial, chemical, and others. Based on region, the global market has been spanned across Asia Pacific, Latin America, North America, Europe, and the Middle East & Africa
Key Players.
Some of the prominent players operating in the global Magnesium Sulphate market are K+S KALI GmbH (Germany), PQ CORP (Pennsylvania), Umai Chemical Co.,Ltd (Japan), Giles Chemical (U.S.), Morton Salt, Inc (U.S.), Mani Agro Chem (India), San Francisco Salt Company (U.S.), Balaji Industries Group Ltd. (India), and others
Geographic Analysis
The report covers brief analysis of geographical region such as:
• North America
o U.S.
o Canada
• Europe
o Germany
o U.K
o Russia
o France
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o India
o Japan
o Indonesia
o Rest of Asia Pacific
• Latin America
o Brazil
o Mexico
o Rest of Latin America
• Middle East & Africa
o Turkey
o UAE
o Saudi Arabia
o Rest of Middle East & Africa

.
Key Findings
Global magnesium sulphate market is expected to reach USD 1,274.70 million by 2023 at a CAGR of 5.39%. Asia Pacific accounted for the largest market share and holds for around 41.21% share of the global market on account of large consumer base for fertilizers. China accounted for the largest market share and generated a revenue of USD 197.8 million as of 2016 in Asia Pacific region and is expected to dominate the region over the forecast period due to continuous growth of numerous end-use industries. Based on form, crystal was projected to hold the largest market volume, by expanding at a CAGR of 5.66%. Based on the type, Epsom salt accounted for the largest market shares of 65%, thereby witnessing the highest CAGR of 5.70%. Based on application, fertilizer accounted for the largest market share and is predicted to retain its dominance on account of burgeoning demand for the production of good quality crops along with decreasing arable area.

Intended Audience
• Magnesium Sulphate manufacturers
• Traders and distributors of Magnesium Sulphate
• Production process industries
• Potential investors
• Raw material suppliers

Table of Contents:

1 Report Prologue
2 Scope of the Report
2.1 Market Definition
2.2 Scope of The Study
2.2.1 Research Objectives
2.2.2 Assumptions
2.2.3 Limitations
2.3 Market Structure
3 Research Methodology
3.1 Research Process
3.2 Primary Research
3.3 Secondary Research
3.4 Market Size Estimation
3.5 Forecast Model
4 Market Dynamics
4.1 Introduction
4.2 Drivers
4.2.1 Growing fertilizer demand to attain higher agriculture yield
4.2.2 Emergence of magnesium sulphate as treatment for severe pre-eclampsia and eclampsia linked with increasing medical applications
4.2.3 Widening magnesium sulphate application scope
4.3 Restraints
4.3.1 Side effects along with adverse health effect due to overdose of magnesium sulphate
4.4 Opportunities
4.4.1 Increasing adoption in personal care industry
4.5 Market Trends
4.5.1 Technological developments in agricultural solutions
4.6 Macroeconomic Indicators
4.7 Trade Landscape
4.7.1 Trade analysis (Kilo Tons)
4.7.2 Top Importers & Exporters (2016)
5 Market Factor Analysis
5.1 Supply chain Analysis
5.1.1 Raw material producers
5.1.2 Producers (Magnesium Sulphate)
5.1.3 Distributers
5.1.4 End users
5.2 Porters 5 Forces Analysis
5.2.1 Competitive rivalry
5.2.2 Threat of new entrants
5.2.3 Threat of new substitute
5.2.4 Bargaining power of supplier
5.2.5 Bargaining Power of Buyers
6 Global Magnesium Sulphate Market, by Type
6.1 Introduction
6.2 Heptahydrate (Epsom Salt)
6.3 Anhydrous Magnesium Sulphate
6.4 Monohydrate Magnesium Sulphate
6.5 Others
7 Global Magnesium Sulphate Market, by Form
7.1 Introduction
7.2 Crystal
7.3 Powder
7.4 Granules
8 Global Magnesium Sulphate Market, by Application
8.1 Introduction
8.2 Fertilizer
8.3 Medical & Personal Care
8.4 Food Additive
8.5 Industrial
8.6 Chemical
8.7 Others
9 Global Magnesium Sulphate Market, by Geography
9.1 Introduction
9.2 North America
9.2.1 The U.S.
9.2.2 Canada
9.3 Europe
9.3.1 Germany
9.3.2 Russia
9.3.3 UK
9.3.4 France
9.3.5 Italy
9.3.6 Rest of the Europe
9.4 Asia Pacific
9.4.1 China
9.4.2 Japan
9.4.3 India
9.4.4 Indonesia
9.4.5 Rest of the Asia Pacific
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Rest of the Latin America
9.6 Middle East & Africa
9.6.1 UAE
9.6.2 Turkey
9.6.3 Saudi Arabia
9.6.4 Rest of the Middle East & Africa
10 Competitive Landscape
10.1 Introduction
10.2 Market key developments analysis
11 Company Profiles
11.1 K+S KALI GmbH
11.1.1 Company Overview
11.1.2 Financials
11.1.3 Products
11.1.4 Strategy
11.1.5 Key Developments
11.2 PQ CORP
11.2.1 Company Overview
11.2.2 Financials
11.2.3 Products
11.2.4 Strategy
11.2.5 Key Developments
11.3 Umai Chemical Co.,Ltd.
11.3.1 Company Overview
11.3.2 Financials
11.3.3 Products
11.3.4 Strategy
11.3.5 Key Developments
11.4 Giles Chemical
11.4.1 Company Overview
11.4.2 Financials
11.4.3 Products
11.4.4 Strategy
11.4.5 Key Developments
11.5 Morton Salt, Inc.
11.5.1 Company Overview
11.5.2 Financials
11.5.3 Products
11.5.4 Strategy
11.5.5 Key Developments
11.6 Mani Agro Chem
11.6.1 Company Overview
11.6.2 Financials
11.6.3 Products
11.6.4 Strategy
11.6.5 Key Developments
11.7 San Francisco Salt Company
11.7.1 Company Overview
11.7.2 Financials
11.7.3 Products
11.7.4 Strategy
11.7.5 Key Developments
11.8 Balaji Industries
11.8.1 Company Overview
11.8.2 Financials
11.8.3 Products
11.8.4 Strategy
11.8.5 Key Developments
12 Conclusion

The post Global Magnesium Sulphate Market Research Report – Forecast to 2023 first appeared on CRI Report.