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Global AI in Healthcare
Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence with much higher precisions and error control than that done by humans. AI facilitates in creation of intelligent agents where an intelligent agent is a system that recognizes its environment of operation and takes actions which maximizes its likelihood of success. The importance of AI in healthcare was realised in early 1980s when the absence of proper data management and requirement of extreme precision along with importance of minimal invasive methods was recognised. Artificial intelligence is a branch of computer science and information technology that is capable of analysing complex medical data. Today, in the age of breakthrough of technology and automation, the research and implementation of AI in healthcare is at its best. Healthcare sector is one of the most important sectors that is a priority for the human race. Owing to its amalgamation with the IT industry, the growth and development of healthcare industry has increased and reached the next level.
Recent Developments under Computing Power in Healthcare
Key Developments Key Insights
IBM Watson for Oncology • IBM have developed Watson technologies for healthcare. It is a unified platform meant to assist doctors and healthcare professionals in various aspects of treatment. IBM Watson for Oncology is specifically designed for helping oncologists involved in cancer treatment
• Watson for Oncology derives data from various sources including MSK curated literature and rationales, as well as over 290 medical journals, over 200 textbooks, and 12 million pages of text
IBM and Manipal Hospitals (India) • In India, IBM has partnered with Manipal Hospitals to provide diagnosis and treatment to cancer patients. Watson for Oncology is used across 16 facilities and academic centers of the hospital where more than 200,00 patients are treated each year
American Cancer Society and IBM • The American Cancer Society is utilizing IBM Watson to mine data from websites and relevant sources to offer personalized treatments for oncology patients. According to IBM, over 16 oncology practices are depending on Watson to enable doctors in translating DNA insights into personalized treatment for patients
Dartmouth-Hitchcock and Microsoft • Dartmouth-Hitchcock, a US-based health system based in New Hampshire has adopted Microsoft’s Cortana Intelligence Suite to predict medical emergencies for patients. Branded as ImagineCare, this solution is available to more than 6000 patients of Dartmouth
Microsoft India and L V Prasad Eye Institute • Microsoft India has partnered with L V Prasad Eye Institute to launch a consortium named Microsoft Intelligent Network for Eyecare (MINE). The partner organizations of this consortium would include Bascom Palmer (University of Miami), Flaum Eye Institute (University of Rochester (USA)), Federal University of Sao Paulo (Brazil) and Brien Holden Vision Institute (Australia). These organizations will collaborate on the diverse patient dataset to evolve machine learning predictive models for vision impairment and eye disease
Pfizer and IBM • Pfizer is using IBM’s Watson machine-learning platform to help find new immuno-oncology targets and drugs
Sanofi and Exscientia • Sanofi is using a rival system from UK firm Exscientia in a metabolic disease program
The outburst of technology that is digitally enabled, wireless connectivity across increasingly mobile devices has created an increasing democratisation of access for healthcare. Some of the most powerful AI tools are already embedded in Android or iOS. This technology is providing consumers with the data and information they need to proactively manage their own health and wellness, and to make better, more informed decisions in partnership with their healthcare providers. AI can prove to be a boom in the field of diagnosis. The high cost involved in diagnostic processes, over-testing of low-risk patients, and limited capability for early detection of chronic diseases are driving the adoption of AI in diagnostics. This is because AI is capable of bridging the gap between doctor-centric diagnosis and AI-based diagnosis through pattern recognition and machine learning technologies.
Coming to drug development, it requires lots of time, investment and resources. Owing to this, the pharma companies are keen to embrace digital transformation and AI. According to Deloitte, in 2017, 12 largest biopharma companies received just 3.2% returns from their drug-research units, as against 10% in 2010. The use of AI in drug discovery is expected to expedite the overall process. Applied intelligence can improve drug discovery success rates by 8-10%, resulting in savings worth billions of dollars for the industry. Finding drug discovery compounds and precision medicine are the major trending applications over other pharma based AI applications.
“Machine learning technology of AI dominated the market globally in 2018 and is expected to maintain its lead in 2025”
Based on technology, the global AI in healthcare market has been segmented into machine learning, deep learning and artificial neural network. Out of these technologies, in 2018, machine learning dominated the market globally and is expected to maintain its lead in 2025. The increasing power of machine learning in diagnosing disease and in categorisation and classifying health data is empowering physicians and speed-up decision making across the medical facilities including hospitals or clinic.
“Amongst application, robotic surgery holds the major share globally in 2018 but diagnosis has been estimated to lead the market during the forecast period.”
Based on technology, the global AI in healthcare market has been segmented into robotic surgery, diagnosis, Virtual Nursing assistance and Administrative workflow assistance. In 2018, robotic surgery dominated the application segment of global AI in healthcare market, generating revenue of US$8589 million, followed by virtual nursing assistance and administrative workflow. The segment is expected to grow at a CAGR of XX% during the forecast period by 2025. However, the diagnosis segment is expected to witness the highest CAGR of XX% during the analysed period.
“Amongst end users, hardware segment has been anticipated to dominate the AI in healthcare sector by 2025.”
Based on the type of offering, the global AI in healthcare market is segmented into hardware, software or services. Currently, services segment dominates the market. However, hardware segment is expected to witness the highest CAGR growth during the forecast period 2018-2025.
“North America region holds the highest market share in 2018 but Asia Pacific market has been expected to witness the highest market growth in the forecast period”
Artificial intelligence in healthcare market in North America has been on an up-surging trend due to the high adoption rate of AI in country such as the US and Canada, paired with development and growth of research & development activities that combine the investments by government and private organizations. As far as Asia-Pacific region is concerned, it has lagged behind North America and Europe in terms of technology adoption. However, AI is one technology area where Asia-Pacific can stand apart, compared to other region and has been expected to witness the highest growth in the forecast period.
Medtronic Plc, Abbott Laboratories, Johnson and Johnson, Bcton Dickinson, Boston Scientific Corporation, Koninklijke Philips N.V, Roche Holding AG, Siemens Healthineers AG, Stryker Corporation and Oracle Corporation are the major players operating in the AI in healthcare market. These company are partnering up with technology leaders and are investing heavily to come up with new and innovative AI backed healthcare equipment to treat patients.
Reasons to buy:
• The dental imaging market study presents the current market size, trend, forecast until 2024. The analysis presented in the report is a combination of deep dive secondary research and input from Key Opinion Leaders of the industry
• The report presents a quick review of overall industry performance at one glance
• The report covers in-depth analysis of prominent industry peer with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments
• Detailed examination on drivers, restraints, key trends and opportunities prevailing in the industry
• Examination of industry attractiveness with the help of Porter’s Five Forces analysis
• The study comprehensively covers the market across different segments and sub segments
• Deep dive regional level analysis of the industry
Customization Options:
The Dental Imaging Technology Market can be customized to the country level or any other market segment. Besides this, UMI understands that you may have your own business need, hence we also provide fully customized solutions to clients.
Market Overview
Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence with much higher precisions and error control than that done by humans. AI facilitates in creation of intelligent agents where an intelligent agent is a system that recognizes its environment of operation and takes actions which maximizes its likelihood of success. The importance of AI in healthcare was realised in early 1980s when the absence of proper data management and requirement of extreme precision along with importance of minimal invasive methods was recognised. Artificial intelligence is a branch of computer science and information technology that is capable of analysing complex medical data. Today, in the age of breakthrough of technology and automation, the research and implementation of AI in healthcare is at its best. Healthcare sector is one of the most important sectors that is a priority for the human race. Owing to its amalgamation with the IT industry, the growth and development of healthcare industry has increased and reached the next level.
Recent Developments under Computing Power in Healthcare
Key Developments Key Insights
IBM Watson for Oncology • IBM have developed Watson technologies for healthcare. It is a unified platform meant to assist doctors and healthcare professionals in various aspects of treatment. IBM Watson for Oncology is specifically designed for helping oncologists involved in cancer treatment
• Watson for Oncology derives data from various sources including MSK curated literature and rationales, as well as over 290 medical journals, over 200 textbooks, and 12 million pages of text
IBM and Manipal Hospitals (India) • In India, IBM has partnered with Manipal Hospitals to provide diagnosis and treatment to cancer patients. Watson for Oncology is used across 16 facilities and academic centers of the hospital where more than 200,00 patients are treated each year
American Cancer Society and IBM • The American Cancer Society is utilizing IBM Watson to mine data from websites and relevant sources to offer personalized treatments for oncology patients. According to IBM, over 16 oncology practices are depending on Watson to enable doctors in translating DNA insights into personalized treatment for patients
Dartmouth-Hitchcock and Microsoft • Dartmouth-Hitchcock, a US-based health system based in New Hampshire has adopted Microsoft’s Cortana Intelligence Suite to predict medical emergencies for patients. Branded as ImagineCare, this solution is available to more than 6000 patients of Dartmouth
Microsoft India and L V Prasad Eye Institute • Microsoft India has partnered with L V Prasad Eye Institute to launch a consortium named Microsoft Intelligent Network for Eyecare (MINE). The partner organizations of this consortium would include Bascom Palmer (University of Miami), Flaum Eye Institute (University of Rochester (USA)), Federal University of Sao Paulo (Brazil) and Brien Holden Vision Institute (Australia). These organizations will collaborate on the diverse patient dataset to evolve machine learning predictive models for vision impairment and eye disease
Pfizer and IBM • Pfizer is using IBM’s Watson machine-learning platform to help find new immuno-oncology targets and drugs
Sanofi and Exscientia • Sanofi is using a rival system from UK firm Exscientia in a metabolic disease program
The outburst of technology that is digitally enabled, wireless connectivity across increasingly mobile devices has created an increasing democratisation of access for healthcare. Some of the most powerful AI tools are already embedded in Android or iOS. This technology is providing consumers with the data and information they need to proactively manage their own health and wellness, and to make better, more informed decisions in partnership with their healthcare providers. AI can prove to be a boom in the field of diagnosis. The high cost involved in diagnostic processes, over-testing of low-risk patients, and limited capability for early detection of chronic diseases are driving the adoption of AI in diagnostics. This is because AI is capable of bridging the gap between doctor-centric diagnosis and AI-based diagnosis through pattern recognition and machine learning technologies.
Coming to drug development, it requires lots of time, investment and resources. Owing to this, the pharma companies are keen to embrace digital transformation and AI. According to Deloitte, in 2017, 12 largest biopharma companies received just 3.2% returns from their drug-research units, as against 10% in 2010. The use of AI in drug discovery is expected to expedite the overall process. Applied intelligence can improve drug discovery success rates by 8-10%, resulting in savings worth billions of dollars for the industry. Finding drug discovery compounds and precision medicine are the major trending applications over other pharma based AI applications.
“Machine learning technology of AI dominated the market globally in 2018 and is expected to maintain its lead in 2025”
Based on technology, the global AI in healthcare market has been segmented into machine learning, deep learning and artificial neural network. Out of these technologies, in 2018, machine learning dominated the market globally and is expected to maintain its lead in 2025. The increasing power of machine learning in diagnosing disease and in categorisation and classifying health data is empowering physicians and speed-up decision making across the medical facilities including hospitals or clinic.
“Amongst application, robotic surgery holds the major share globally in 2018 but diagnosis has been estimated to lead the market during the forecast period.”
Based on technology, the global AI in healthcare market has been segmented into robotic surgery, diagnosis, Virtual Nursing assistance and Administrative workflow assistance. In 2018, robotic surgery dominated the application segment of global AI in healthcare market, generating revenue of US$8589 million, followed by virtual nursing assistance and administrative workflow. The segment is expected to grow at a CAGR of XX% during the forecast period by 2025. However, the diagnosis segment is expected to witness the highest CAGR of XX% during the analysed period.
“Amongst end users, hardware segment has been anticipated to dominate the AI in healthcare sector by 2025.”
Based on the type of offering, the global AI in healthcare market is segmented into hardware, software or services. Currently, services segment dominates the market. However, hardware segment is expected to witness the highest CAGR growth during the forecast period 2018-2025.
“North America region holds the highest market share in 2018 but Asia Pacific market has been expected to witness the highest market growth in the forecast period”
Artificial intelligence in healthcare market in North America has been on an up-surging trend due to the high adoption rate of AI in country such as the US and Canada, paired with development and growth of research & development activities that combine the investments by government and private organizations. As far as Asia-Pacific region is concerned, it has lagged behind North America and Europe in terms of technology adoption. However, AI is one technology area where Asia-Pacific can stand apart, compared to other region and has been expected to witness the highest growth in the forecast period.
Competitive Landscape
-Top 10 Market PlayersMedtronic Plc, Abbott Laboratories, Johnson and Johnson, Bcton Dickinson, Boston Scientific Corporation, Koninklijke Philips N.V, Roche Holding AG, Siemens Healthineers AG, Stryker Corporation and Oracle Corporation are the major players operating in the AI in healthcare market. These company are partnering up with technology leaders and are investing heavily to come up with new and innovative AI backed healthcare equipment to treat patients.
Reasons to buy:
• The dental imaging market study presents the current market size, trend, forecast until 2024. The analysis presented in the report is a combination of deep dive secondary research and input from Key Opinion Leaders of the industry
• The report presents a quick review of overall industry performance at one glance
• The report covers in-depth analysis of prominent industry peer with a primary focus on key business financials, product portfolio, expansion strategies, and recent developments
• Detailed examination on drivers, restraints, key trends and opportunities prevailing in the industry
• Examination of industry attractiveness with the help of Porter’s Five Forces analysis
• The study comprehensively covers the market across different segments and sub segments
• Deep dive regional level analysis of the industry
Customization Options:
The Dental Imaging Technology Market can be customized to the country level or any other market segment. Besides this, UMI understands that you may have your own business need, hence we also provide fully customized solutions to clients.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
