report-image

Global AI in Healthcare Market Size, Industry Analysis By Segmentations, Top Key Players, Trends, Future Development & Forecast 2024-2035

  • PUBLISHED ON
  • 3/1/2023
  • NO OF PAGES
  • 263
  • CATEGORY
  • Information Technology

Market Overview:

The global AI in Healthcare Market size was valued at USD 11.56 billion in 2022, and is projected to reach USD 187.57 billion by 2032 at a CAGR of 38.5% from 2022 to 2032. The AI in Healthcare market refers to the use of artificial intelligence (AI) technologies and techniques in the healthcare industry to improve the quality of patient care and outcomes, streamline clinical workflows, and reduce costs. AI in healthcare can be applied to a wide range of use cases, including medical diagnosis, drug development, patient monitoring, and personalized treatment planning. The AI in Healthcare market share has been growing rapidly in recent years and is expected to continue to do so in the coming years.

One of the key drivers of the growth of the AI in Healthcare market size is the increasing adoption of electronic health records (EHRs) and other digital health technologies, which generate large amounts of data that can be analyzed using AI algorithms to identify patterns and insights. Other drivers include the growing demand for personalized medicine, the need to improve clinical decision-making, and the rising prevalence of chronic diseases.

Some of the key trends in the AI in Healthcare market include the use of machine learning algorithms to analyze medical images, the development of AI-powered virtual assistants for patient care, the use of natural language processing (NLP) to improve clinical documentation and reduce administrative burden, and the integration of AI with other emerging technologies such as blockchain and the Internet of Things (IoT).

Growing adoption of electronic health records (EHRs) and other digital health technologies is propelling AI in Healthcare Market growth.

EHRs have become increasingly prevalent in the healthcare industry, providing a comprehensive digital record of a patient's medical history, treatment plans, and clinical outcomes. This digitalization of healthcare data has enabled the collection of large amounts of patient data, including medical images, lab test results, and clinical notes, among other data types. AI algorithms can be applied to this vast amount of healthcare data to identify patterns and insights that can inform clinical decision-making, improve patient outcomes, and reduce healthcare costs. For example, AI-powered diagnostic tools can analyze medical images to identify early signs of diseases such as cancer or Alzheimer's disease, while AI-powered predictive models can help identify patients at high risk for chronic diseases and enable early intervention. Moreover, AI-powered virtual assistants can help streamline clinical workflows by automating administrative tasks and providing personalized patient care. These digital assistants can help healthcare providers to focus on patient care, reduce burnout, and improve overall patient satisfaction. Thus, the increasing adoption of EHRs and other digital health technologies has created a wealth of data that can be leveraged by AI technologies to drive innovation and improve patient outcomes, making it a significant driving factor of the AI in Healthcare market share.

Segmentation:

By Technology type:

·         Machine Learning

·         Natural Language Processing

·         Computer Vision

·         Robotics

·         Others

By Application:

·         Medical Imaging and Diagnostics

·         Drug Discovery and Development

·         Personalized Medicine

·         Patient Monitoring and Care

·         Administrative Workflow Assistance

·         Others

By End-user:

·         Hospitals and Clinics

·         Research and Diagnostic Laboratories

·         Pharmaceutical Companies

·         Healthcare Payers

·         Patients

·         Others

Geography:

Currently, North America dominates the AI in Healthcare market. The region's dominance can be attributed to the high adoption rate of AI technologies in the healthcare sector, favorable government initiatives, and strong support from leading technology players in the region. Additionally, North America has a well-established healthcare infrastructure and a high level of awareness about the benefits of AI in healthcare. The United States, in particular, is the largest market for AI in Healthcare in North America, driven by the growing demand for personalized medicine, increasing adoption of electronic health records (EHRs), and rising healthcare costs. The US held the largest share of the AI in Healthcare market in 2020, followed by Canada. However, the Asia Pacific region is expected to witness the highest growth rate in the AI in Healthcare market in the coming years, owing to the increasing focus on healthcare modernization, growing government initiatives, and rising investments by leading technology companies. Moreover, the Asia Pacific region has a large patient population and a growing demand for healthcare services, which is expected to create significant opportunities for AI in Healthcare Market.

Impact of COVID-19 on the global AI in Healthcare Market:

The COVID-19 pandemic has highlighted the need for rapid and accurate diagnosis, treatment, and prevention of infectious diseases. As a result, there has been a surge in demand for AI in Healthcare Market that can help healthcare providers to identify and manage COVID-19 cases. AI algorithms have been used to analyze medical images, identify COVID-19 hotspots, and predict disease progression. The COVID-19 pandemic has led to a widespread adoption of telemedicine, which has facilitated remote consultations and reduced the risk of infection transmission. AI-powered virtual assistants and chatbots have been used to support telemedicine services, providing personalized patient care and assisting with administrative tasks. The COVID-19 pandemic has raised concerns about data privacy and security, particularly with regards to the collection and use of personal health data. As a result, there has been an increased focus on developing secure and transparent AI-powered solutions that comply with data protection regulations.

Impact of the Russia-Ukraine War on the global AI in Healthcare Market:

The Russia-Ukraine war has had an impact on various industries, including the healthcare industry, which could indirectly affect the AI in Healthcare market. Here are some of the ways in which the conflict could impact the AI in Healthcare market:

·         Disruption of supply chains: The Russia-Ukraine war could disrupt the supply chains of AI technologies, leading to delays in production and delivery of AI-powered solutions. This could affect the availability and affordability of AI technologies in the affected regions.

·         Decreased investment: The ongoing conflict could lead to decreased investment in the healthcare sector, including AI in Healthcare Market. Investors may be hesitant to invest in regions that are facing political instability and conflict, leading to a slowdown in the development of AI-powered solutions in the affected regions.

·         Increased demand for healthcare services: The conflict could lead to an increase in demand for healthcare services, particularly in regions that are directly affected by the conflict. This could create opportunities for AI in Healthcare Market to improve healthcare delivery and patient outcomes.

In summary, the Russia-Ukraine conflict could indirectly impact the AI in Healthcare market, leading to disruption of supply chains and decreased investment, but also creating opportunities for AI technologies to improve healthcare delivery and outcomes in affected regions.

Company Profiles:

·         IBM Watson Health

·         Google Health

·         Microsoft Healthcare

·         GE Healthcare

·         Amazon Web Services

·         NVIDIA Corporation

·         Siemens Healthineers

·         Intel Corporation

·         Cognizant Technology Solutions

·         Medtronic

·         Philips Healthcare

·         Johnson & Johnson

·         Tencent

·         Babylon Health

·         Ada Health

Key Benefits:
• The analysis provides an overview of the factors driving and limiting the growth of the market including trends, structure and others.
• Market estimation for type and geographic segments is derived from the current market scenario and expected market trends.
• Porter’s Five Force Model and SWOT analysis are used to study the global AI in Healthcare market and would help stakeholders make strategic decisions.
• The analysis assists in understanding the strategies adopted by the companies for the growth of this market.
• In-depth analysis of the types of AI in Healthcare would help in identifying future applications in this market.

Reasons to Purchase this Report:
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post-sales analyst support

Objectives of the Study:
• To provide with an exhaustive analysis on the AI in Healthcare Market by Product, By Application, By End User and by Region.
• To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints)
• To evaluate and forecast micro-markets and the overall market
• To predict the market size, in key regions— North America, Europe, Asia Pacific, Latin America and Middle East and Africa.
• To record and evaluate competitive landscape mapping- product launches, technological advancements, mergers and expansions
Base Year: 2023
Historic Year: 2016-2022
Forecast: 2024-2035
1 Market Overview
1.1 Product Overview and Scope of AI in Healthcare
1.2 Classification of AI in Healthcare by Type
1.2.1 Overview: Global AI in Healthcare Market Size by Type: 2017 Versus 2022 Versus 2032
1.2.2 Global AI in Healthcare Revenue Market Share by Type in 2022
1.2.3 Hardware
1.2.4 Software
1.2.5 Services
1.3 Global AI in Healthcare Market by Application
1.3.1 Overview: Global AI in Healthcare Market Size by Application: 2017 Versus 2022 Versus 2032
1.3.2 Patient Data and Risk Analysis
1.3.3 Lifestyle Management and Monitoring
1.3.4 Precision Medicine
1.3.5 In-Patient Care and Hospital Management
1.3.6 Medical Imaging and Diagnosis
1.3.7 Drug Discovery
1.3.8 Virtual Assistant
1.3.9 Others
1.4 Global AI in Healthcare Market Size & Forecast
1.5 Global AI in Healthcare Market Size and Forecast by Region
1.5.1 Global AI in Healthcare Market Size by Region: 2017 VS 2022 VS 2032
1.5.2 Global AI in Healthcare Market Size by Region, (2016-2021)
1.5.3 North America AI in Healthcare Market Size and Prospect (2017-2032)
1.5.4 Europe AI in Healthcare Market Size and Prospect (2017-2032)
1.5.5 Asia-Pacific AI in Healthcare Market Size and Prospect (2017-2032)
1.5.6 South America AI in Healthcare Market Size and Prospect (2017-2032)
1.5.7 Middle East and Africa AI in Healthcare Market Size and Prospect (2017-2032)
1.6 Market Drivers, Restraints and Trends
1.6.1 AI in Healthcare Market Drivers
1.6.2 AI in Healthcare Market Restraints
1.6.3 AI in Healthcare Trends Analysis
2 Company Profiles
2.1 NVIDIA
2.1.1 NVIDIA Details
2.1.2 NVIDIA Major Business
2.1.3 NVIDIA AI in Healthcare Product and Solutions
2.1.4 NVIDIA AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.1.5 NVIDIA Recent Developments and Future Plans
2.2 Google
2.2.1 Google Details
2.2.2 Google Major Business
2.2.3 Google AI in Healthcare Product and Solutions
2.2.4 Google AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.2.5 Google Recent Developments and Future Plans
2.3 IBM
2.3.1 IBM Details
2.3.2 IBM Major Business
2.3.3 IBM AI in Healthcare Product and Solutions
2.3.4 IBM AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.3.5 IBM Recent Developments and Future Plans
2.4 Microsoft
2.4.1 Microsoft Details
2.4.2 Microsoft Major Business
2.4.3 Microsoft AI in Healthcare Product and Solutions
2.4.4 Microsoft AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.4.5 Microsoft Recent Developments and Future Plans
2.5 General Vision
2.5.1 General Vision Details
2.5.2 General Vision Major Business
2.5.3 General Vision AI in Healthcare Product and Solutions
2.5.4 General Vision AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.5.5 General Vision Recent Developments and Future Plans
2.6 Enlitic
2.6.1 Enlitic Details
2.6.2 Enlitic Major Business
2.6.3 Enlitic AI in Healthcare Product and Solutions
2.6.4 Enlitic AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.6.5 Enlitic Recent Developments and Future Plans
2.7 Next IT
2.7.1 Next IT Details
2.7.2 Next IT Major Business
2.7.3 Next IT AI in Healthcare Product and Solutions
2.7.4 Next IT AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.7.5 Next IT Recent Developments and Future Plans
2.8 Welltok
2.8.1 Welltok Details
2.8.2 Welltok Major Business
2.8.3 Welltok AI in Healthcare Product and Solutions
2.8.4 Welltok AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.8.5 Welltok Recent Developments and Future Plans
2.9 ICarbonX
2.9.1 ICarbonX Details
2.9.2 ICarbonX Major Business
2.9.3 ICarbonX AI in Healthcare Product and Solutions
2.9.4 ICarbonX AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.9.5 ICarbonX Recent Developments and Future Plans
2.10 Recursion Pharmaceuticals
2.10.1 Recursion Pharmaceuticals Details
2.10.2 Recursion Pharmaceuticals Major Business
2.10.3 Recursion Pharmaceuticals AI in Healthcare Product and Solutions
2.10.4 Recursion Pharmaceuticals AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.10.5 Recursion Pharmaceuticals Recent Developments and Future Plans
2.11 GE
2.11.1 GE Details
2.11.2 GE Major Business
2.11.3 GE AI in Healthcare Product and Solutions
2.11.4 GE AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.11.5 GE Recent Developments and Future Plans
2.12 Siemens
2.12.1 Siemens Details
2.12.2 Siemens Major Business
2.12.3 Siemens AI in Healthcare Product and Solutions
2.12.4 Siemens AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.12.5 Siemens Recent Developments and Future Plans
2.13 Johnson & Johnson
2.13.1 Johnson & Johnson Details
2.13.2 Johnson & Johnson Major Business
2.13.3 Johnson & Johnson AI in Healthcare Product and Solutions
2.13.4 Johnson & Johnson AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.13.5 Johnson & Johnson Recent Developments and Future Plans
2.14 Medtronic
2.14.1 Medtronic Details
2.14.2 Medtronic Major Business
2.14.3 Medtronic AI in Healthcare Product and Solutions
2.14.4 Medtronic AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.14.5 Medtronic Recent Developments and Future Plans
2.15 Careskore
2.15.1 Careskore Details
2.15.2 Careskore Major Business
2.15.3 Careskore AI in Healthcare Product and Solutions
2.15.4 Careskore AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.15.5 Careskore Recent Developments and Future Plans
2.16 Zephyr Health
2.16.1 Zephyr Health Details
2.16.2 Zephyr Health Major Business
2.16.3 Zephyr Health AI in Healthcare Product and Solutions
2.16.4 Zephyr Health AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.16.5 Zephyr Health Recent Developments and Future Plans
2.17 Oncora Medical
2.17.1 Oncora Medical Details
2.17.2 Oncora Medical Major Business
2.17.3 Oncora Medical AI in Healthcare Product and Solutions
2.17.4 Oncora Medical AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.17.5 Oncora Medical Recent Developments and Future Plans
2.18 Sentrian
2.18.1 Sentrian Details
2.18.2 Sentrian Major Business
2.18.3 Sentrian AI in Healthcare Product and Solutions
2.18.4 Sentrian AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.18.5 Sentrian Recent Developments and Future Plans
2.19 Bay Labs
2.19.1 Bay Labs Details
2.19.2 Bay Labs Major Business
2.19.3 Bay Labs AI in Healthcare Product and Solutions
2.19.4 Bay Labs AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.19.5 Bay Labs Recent Developments and Future Plans
2.20 Deep Genomics
2.20.1 Deep Genomics Details
2.20.2 Deep Genomics Major Business
2.20.3 Deep Genomics AI in Healthcare Product and Solutions
2.20.4 Deep Genomics AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.20.5 Deep Genomics Recent Developments and Future Plans
2.21 Cloudmedx
2.21.1 Cloudmedx Details
2.21.2 Cloudmedx Major Business
2.21.3 Cloudmedx AI in Healthcare Product and Solutions
2.21.4 Cloudmedx AI in Healthcare Revenue, Gross Margin and Market Share (2017-2022)
2.21.5 Cloudmedx Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global AI in Healthcare Revenue and Share by Players (2017-2022)
3.2 Market Concentration Rate
3.2.1 Top 3 AI in Healthcare Players Market Share
3.2.2 Top 10 AI in Healthcare Players Market Share
3.2.3 Market Competition Trend
3.3 AI in Healthcare Players Head Office, Products and Services Provided
3.4 Mergers & Acquisitions
3.5 New Entrants and Expansion Plans
4 Market Size Segment by Type
4.1 Global AI in Healthcare Revenue and Market Share by Type (2016-2021)
4.2 Global AI in Healthcare Market Forecast by Type (2021-2026)
5 Market Size Segment by Application
5.1 Global AI in Healthcare Revenue Market Share by Application (2016-2021)
5.2 AI in Healthcare Market Forecast by Application (2021-2026)
6 North America by Country, by Type, and by Application
6.1 North America AI in Healthcare Revenue by Type (2017-2032)
6.2 North America AI in Healthcare Revenue by Application (2017-2032)
6.3 North America AI in Healthcare Market Size by Country
6.3.1 North America AI in Healthcare Revenue by Country (2017-2032)
6.3.2 United States AI in Healthcare Market Size and Forecast (2017-2032)
6.3.3 Canada AI in Healthcare Market Size and Forecast (2017-2032)
6.3.4 Mexico AI in Healthcare Market Size and Forecast (2017-2032)
7 Europe by Country, by Type, and by Application
7.1 Europe AI in Healthcare Revenue by Type (2017-2032)
7.2 Europe AI in Healthcare Revenue by Application (2017-2032)
7.3 Europe AI in Healthcare Market Size by Country
7.3.1 Europe AI in Healthcare Revenue by Country (2017-2032)
7.3.2 Germany AI in Healthcare Market Size and Forecast (2017-2032)
7.3.3 France AI in Healthcare Market Size and Forecast (2017-2032)
7.3.4 United Kingdom AI in Healthcare Market Size and Forecast (2017-2032)
7.3.5 Russia AI in Healthcare Market Size and Forecast (2017-2032)
7.3.6 Italy AI in Healthcare Market Size and Forecast (2017-2032)
8 Asia-Pacific by Region, by Type, and by Application
8.1 Asia-Pacific AI in Healthcare Revenue by Type (2017-2032)
8.2 Asia-Pacific AI in Healthcare Revenue by Application (2017-2032)
8.3 Asia-Pacific AI in Healthcare Market Size by Region
8.3.1 Asia-Pacific AI in Healthcare Revenue by Region (2017-2032)
8.3.2 China AI in Healthcare Market Size and Forecast (2017-2032)
8.3.3 Japan AI in Healthcare Market Size and Forecast (2017-2032)
8.3.4 South Korea AI in Healthcare Market Size and Forecast (2017-2032)
8.3.5 India AI in Healthcare Market Size and Forecast (2017-2032)
8.3.6 Southeast Asia AI in Healthcare Market Size and Forecast (2017-2032)
8.3.7 Australia AI in Healthcare Market Size and Forecast (2017-2032)
9 South America by Country, by Type, and by Application
9.1 South America AI in Healthcare Revenue by Type (2017-2032)
9.2 South America AI in Healthcare Revenue by Application (2017-2032)
9.3 South America AI in Healthcare Market Size by Country
9.3.1 South America AI in Healthcare Revenue by Country (2017-2032)
9.3.2 Brazil AI in Healthcare Market Size and Forecast (2017-2032)
9.3.3 Argentina AI in Healthcare Market Size and Forecast (2017-2032)
10 Middle East & Africa by Country, by Type, and by Application
10.1 Middle East & Africa AI in Healthcare Revenue by Type (2017-2032)
10.2 Middle East & Africa AI in Healthcare Revenue by Application (2017-2032)
10.3 Middle East & Africa AI in Healthcare Market Size by Country
10.3.1 Middle East & Africa AI in Healthcare Revenue by Country (2017-2032)
10.3.2 Turkey AI in Healthcare Market Size and Forecast (2017-2032)
10.3.3 Saudi Arabia AI in Healthcare Market Size and Forecast (2017-2032)
10.3.4 UAE AI in Healthcare Market Size and Forecast (2017-2032)
11 Research Findings and Conclusion
12 Appendix
12.1 Methodology
12.2 Research Process and Data Source
12.3 Disclaimer

Quality Assurance Process

  1. We Market Research’s Quality Assurance program strives to deliver superior value to our clients.

We Market Research senior executive is assigned to each consulting engagement and works closely with the project team to deliver as per the clients expectations.

Market Research Process




We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.

To mitigate risks that can impact project success, we deploy the follow project delivery best practices:
  • Project kickoff meeting with client
  • Conduct frequent client communications
  • Form project steering committee
  • Assign a senior SR executive as QA Executive
  • Conduct internal editorial & quality reviews of project deliverables
  • Certify project staff in SR methodologies & standards
  • Monitor client satisfaction
  • Monitor realized value post-project

Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.


Business Solution

An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.


Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.


Sample Request Customized Requirement Speak to Analyst Check Discount
CHOOSE LICENSE TYPE
QLOUD
Pricing

Select a license type that suits your business needs

Single User Access

US $3950

Only Three Thousand Nine Hundred Fifty US dollar

Buy Now
  • 1 User access
  • 15% Additional Free Customization
  • Free Unlimited post-sale support
  • 100% Service Guarantee until achievement of ROI
Multi User Cost

US $4950

Only Four Thousand Nine Hundred Fifty US dollar

Buy Now
  • 5 Users access
  • 25% Additional Free Customization
  • Access Report summaries for Free
  • Guaranteed service
  • Dedicated Account Manager
  • Discount of 20% on next purchase
  • Get personalized market brief from Lead Author
  • Printing of Report permitted
  • Discount of 20% on next purchase
  • 100% Service Guarantee until achievement of ROI
Enterprise User Cost

US $5950

Only Five Thousand Nine Hundred Fifty US dollar

Buy Now
  • Unlimited User Access
  • 30% Additional Free Customization
  • Exclusive Previews to latest or upcoming reports
  • Discount of 30% on next purchase
  • 100% Service Guarantee until achievement of ROI