Healthcare Cognitive Computing Market

Healthcare Cognitive Computing Market Size By Technology (Natural Language Processing, Automated Planning, Machine Learning, Computer Vision, Automated Reasoning, Data Extraction, Interpretation, Handwriting Recognition/ Optical Character Recognition, Language Processing & Language Training, and Speech Recognition), By End-User (Hospitals, Medical Devices, Pharmaceuticals, and Insurance), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2023 to 2032

Base Year: 2022 Historical Data: 2019-21
  • Report ID: TBI-13532
  • Published Date: Jun, 2023
  • Pages: 231
  • Category: Healthcare
  • Format: PDF
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The global healthcare cognitive computing market was valued at USD 5.16 billion in 2022 and growing at a CAGR of 35% from 2023 to 2032. The market is expected to reach USD 103.74 billion by 2032. The rapid expansion of the scientific database, demand for individualized treatment, and the need to lower healthcare spending are important drivers of market growth. A key element contributing to the rise in elderly people is their increased incidence of various ailments.

Market Introduction:

The electronic representation of human thought processes is referred to as cognitive computing. This kind of computation is beneficial for identifying threats and scams. In the healthcare industry, cognitive computing aids clinicians in providing therapies based on prior research. It is renowned for handling a sizable volume of complex data. One of the key factors fueling the growth of the healthcare cognitive computing market is the widespread use of cloud services. The increase in the burden of the disease brought on by chronic conditions like diabetes, cardiovascular disease, and cancer, among others, is causing governments and healthcare providers to become more concerned, fueling market expansion. The increase further influences the demand for big data and cognitive computing analytics brought on by the development of massive patient data and the numerous applications of cognitive computing technology in the healthcare sector. Additionally, the market for healthcare cognitive computing benefits from high disposable income, improvements in healthcare infrastructure, increased healthcare spending, direct digital manufacturing, and an explosion of structured and unstructured data. Additionally, market participants would benefit from rising demand for personalized healthcare services and technical data mining and analytics improvements in the forecast period.

Healthcare Cognitive Computing Market Size

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Market Dynamics:

Drivers

Technical Improvements- Structured and unstructured data explosion, technical improvements in data mining and analytics, rising cloud service usage, and the demand for individualized healthcare services are some major growth factors. Only 20% to 25% of the data is maintained in a structured fashion; the rest is kept unstructured. The digital data can be found in published articles, blogs, books, photographs, audio files, and videos. Analyzing this data is a challenging operation that requires employing advanced computing technologies.

Restraints:

High Cost- High investment costs and a lack of adequate digital health infrastructure are anticipated to hinder industry expansion. During the forecast period, a skilled labour shortage is anticipated to be a hurdle for the healthcare cognitive computing market.

Opportunities:

Government Initiatives- Government measures in response to the increasing prevalence of diseases, including cancer, diabetes, and cardiovascular diseases, are expanding the market. The market is expanding due to applications in the healthcare sector, including those for oncology, personalized medicine, melanoma screening, EHR data analysis, medical imaging analysis, and treatment of other chronic conditions.

Regional segmentation analysis:

The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the most significant global healthcare cognitive computing market, with a 45% market revenue share in 2022.

The existence of high-tech technology companies, ongoing R&D investments, more robust reimbursement policies, and extensive use of information technology to lower healthcare costs and enhance patient care are some factors that contribute to such a high market share. Increasing public and private healthcare spending levels, acceptable demographic characteristics, and quicker acceptance of technology in this area are some favourable market indicators. The demand for cognitive computing is anticipated to increase as government support for e-health projects increases along with the explosion of information on cancer, genetics, and other disorders.

Large healthcare organizations, including Johnson & Johnson (J&J) and Medtronic, teamed with IBM in 2015 to use Watson, a platform for cognitive computing. To help patients get ready for knee surgery, J&J intends to use Watson to develop a personal concierge service. Using Watson, Medtronic will create an Internet of Things (IoT) platform for its medical devices to gather data from patient use and better understand the performance and reactions of the devices.

North America Region Healthcare Cognitive Computing Market Share in 2022 - 45%

 

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Technology Segment Analysis

The technology segment is divided into natural language processing, automated planning, machine learning, computer vision, automated reasoning, data extraction, interpretation, handwriting recognition/ optical character recognition, language processing & language training, and speech recognition. The natural language processing segment dominated the market, with a market share of around 31% in 2022. This is because using natural language as keywords have made searching easier and assisted in planning and analyzing complex scenarios. It offers a user-friendly interface to train the algorithm to handle particular data sets and produce insightful conclusions. It has aided in the expansion of data analytics in the healthcare industry.

End-User Segment Analysis

The end-user segment is divided into hospitals, medical devices, pharmaceuticals, and insurance. The hospital segment dominated, with a market share of around 38% in 2022. The rising demand for personalized medicine, gene-specific therapies, cancer, and patient health record management significantly contribute to high consumption. Because the cognitive computing solutions were initially tested in cancer, patient data management, and gene-based therapy, they have a high level of adoption.

Some of the Key Market Players:
  • IBM
  • Microsoft
  • CognitiveScale
  • Numenta
  • Vicarious
  • Enterra Solutions
  • Deepmind
  • SparkCognition
  • TIBCO Software Inc
  • NakaTech
  • Wipro Limited

Report Description:

Attribute Description
Market Size Revenue (USD Billion)
Market size value in 2022 USD 5.16 billion
Market size value in 2032 USD 103.74 billion
CAGR (2023 to 2032) 35%
Historical data 2019-2021
Base Year 2022
Forecast 2023-2032
Region The regions analyzed for the market are Asia Pacific, Europe, South America, North America, and Middle East & Africa. Furthermore, the regions are further analyzed at the country level.
Segments Technology, End-User

Frequesntly Asked Questions

As per The Brainy Insights, the size of the healthcare cognitive computing market was valued at USD 5.16 billion in 2022 to USD 103.74 billion by 2032.

The global healthcare cognitive computing market is growing at a CAGR of 35% during the forecast period 2023-2032.

North America emerged as the largest healthcare cognitive computing market.

Key players in the healthcare cognitive computing market are IBM, Microsoft, CognitiveScale, Numenta, Vicarious, Enterra Solutions, Deepmind, SparkCognition, TIBCO Software Inc, NakaTech, and Wipro Limited.

1. Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Research Scope
    1.4. Currency
    1.5. Key Target Audience

2. Research Methodology and Assumptions

3. Executive Summary

4. Premium Insights
    4.1. Porter’s Five Forces Analysis
    4.2. Value Chain Analysis
    4.3. Top Investment Pockets
          4.3.1. Market Attractiveness Analysis by Technology
          4.3.2. Market Attractiveness Analysis by End-User
          4.3.3. Market Attractiveness Analysis by Region
    4.4. Industry Trends

5. Market Dynamics
    5.1. Market Evaluation
    5.2. Drivers
          5.2.1. Technical Improvements
    5.3. Restraints
          5.3.1. High Cost
    5.4. Opportunities
          5.4.1. Government Initiatives
    5.5. Challenges
          5.5.1. Government Restrictions

6. Global Healthcare Cognitive Computing Market Analysis and Forecast, By Technology
    6.1. Segment Overview
    6.2. Natural Language Processing
    6.3. Automated Planning
    6.4. Machine Learning
    6.5. Computer Vision
    6.6. Automated Reasoning
    6.7. Data Extraction
    6.8. Interpretation
    6.9. Handwriting Recognition/ Optical Character Recognition
    6.10. Language Processing & Language Training
    6.11. Speech Recognition

7. Global Healthcare Cognitive Computing Market Analysis and Forecast, By End-User
    7.1. Segment Overview
    7.2. Hospitals
    7.3. Medical Devices
    7.4. Pharmaceuticals
    7.5. Insurance

8. Global Healthcare Cognitive Computing Market Analysis and Forecast, By Regional Analysis
    8.1. Segment Overview
    8.2. North America
          8.2.1. U.S.
          8.2.2. Canada
          8.2.3. Mexico
    8.3. Europe
          8.3.1. Germany
          8.3.2. France
          8.3.3. U.K.
          8.3.4. Italy
          8.3.5. Spain
    8.4. Asia-Pacific
          8.4.1. Japan
          8.4.2. China
          8.4.3. India
    8.5. South America
          8.5.1. Brazil
    8.6. Middle East and Africa
          8.6.1. UAE
          8.6.2. South Africa

9. Global Healthcare Cognitive Computing Market-Competitive Landscape
    9.1. Overview
    9.2. Market Share of Key Players in Global Healthcare Cognitive Computing Market
          9.2.1. Global Company Market Share
          9.2.2. North America Company Market Share
          9.2.3. Europe Company Market Share
          9.2.4. APAC Company Market Share
    9.3. Competitive Situations and Trends
          9.3.1. Product Launches and Developments
          9.3.2. Partnerships, Collaborations, and Agreements
          9.3.3. Mergers & Acquisitions
          9.3.4. Expansions

10. Company Profiles
    10.1. IBM
          10.1.1. Business Overview
          10.1.2. Company Snapshot
          10.1.3. Company Market Share Analysis
          10.1.4. Company Product Portfolio
          10.1.5. Recent Developments
          10.1.6. SWOT Analysis
    10.2. Microsoft
          10.2.1. Business Overview
          10.2.2. Company Snapshot
          10.2.3. Company Market Share Analysis
          10.2.4. Company Product Portfolio
          10.2.5. Recent Developments
          10.2.6. SWOT Analysis
    10.3. CognitiveScale
          10.3.1. Business Overview
          10.3.2. Company Snapshot
          10.3.3. Company Market Share Analysis
          10.3.4. Company Product Portfolio
          10.3.5. Recent Developments
          10.3.6. SWOT Analysis
    10.4. Numenta
          10.4.1. Business Overview
          10.4.2. Company Snapshot
          10.4.3. Company Market Share Analysis
          10.4.4. Company Product Portfolio
          10.4.5. Recent Developments
          10.4.6. SWOT Analysis
    10.5. Vicarious
          10.5.1. Business Overview
          10.5.2. Company Snapshot
          10.5.3. Company Market Share Analysis
          10.5.4. Company Product Portfolio
          10.5.5. Recent Developments
          10.5.6. SWOT Analysis
    10.6. Enterra Solutions
          10.6.1. Business Overview
          10.6.2. Company Snapshot
          10.6.3. Company Market Share Analysis
          10.6.4. Company Product Portfolio
          10.6.5. Recent Developments
          10.6.6. SWOT Analysis
    10.7. Deepmind
          10.7.1. Business Overview
          10.7.2. Company Snapshot
          10.7.3. Company Market Share Analysis
          10.7.4. Company Product Portfolio
          10.7.5. Recent Developments
          10.7.6. SWOT Analysis
    10.8. SparkCognition
          10.8.1. Business Overview
          10.8.2. Company Snapshot
          10.8.3. Company Market Share Analysis
          10.8.4. Company Product Portfolio
          10.8.5. Recent Developments
          10.8.6. SWOT Analysis
    10.9. TIBCO Software Inc
          10.9.1. Business Overview
          10.9.2. Company Snapshot
          10.9.3. Company Market Share Analysis
          10.9.4. Company Product Portfolio
          10.9.5. Recent Developments
          10.9.6. SWOT Analysis
    10.10. NakaTech
          10.10.1. Business Overview
          10.10.2. Company Snapshot
          10.10.3. Company Market Share Analysis
          10.10.4. Company Product Portfolio
          10.10.5. Recent Developments
          10.10.6. SWOT Analysis
    10.11. Wipro Limited
          10.11.1. Business Overview
          10.11.2. Company Snapshot
          10.11.3. Company Market Share Analysis
          10.11.4. Company Product Portfolio
          10.11.5. Recent Developments
          10.11.6. SWOT Analysis
 

List of Table

1. Global Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

2. Global Natural Language Processing, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion) 

3. Global Automated Planning, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion) 

4. Global Machine Learning, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion) 

5. Global Computer Vision, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

6. Global Automated Reasoning, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

7. Global Data Extraction, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

8. Global Interpretation, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

9. Global Handwriting Recognition/ Optical Character Recognition, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

10. Global Language Processing & Language Training, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

11. Global Speech Recognition, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

12. Global Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

13. Global Hospitals, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

14. Global Medical Devices, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

15. Global Pharmaceuticals, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

16. Global Insurance, Healthcare Cognitive Computing Market, By Region, 2019-2032 (USD Billion)

17. North America Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

18. North America Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

19. U.S. Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

20. U.S. Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

21. Canada Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

22. Canada Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

23. Mexico Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

24. Mexico Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

25. Europe Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

26. Europe Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

27. Germany Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

28. Germany Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

29. France Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

30. France Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

31. U.K. Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

32. U.K. Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

33. Italy Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

34. Italy Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

35. Spain Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

36. Spain Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

37. Asia Pacific Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

38. Asia Pacific Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

39. Japan Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

40. Japan Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

41. China Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

42. China Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

43. India Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

44. India Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

45. South America Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

46. South America Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

47. Brazil Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

48. Brazil Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

49. Middle East and Africa Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

50. Middle East and Africa Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

51. UAE Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

52. UAE Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

53. South Africa Healthcare Cognitive Computing Market, By Technology, 2019-2032 (USD Billion)

54. South Africa Healthcare Cognitive Computing Market, By End-User, 2019-2032 (USD Billion)

List of Figures 

1. Global Healthcare Cognitive Computing Market Segmentation

2. Global Healthcare Cognitive Computing Market: Research Methodology

3. Market Size Estimation Methodology: Bottom-Up Approach

4. Market Size Estimation Methodology: Top-Down Approach

5. Data Triangulation

6. Porter’s Five Forces Analysis 

7. Value Chain Analysis 

8. Global Healthcare Cognitive Computing Market Attractiveness Analysis by Technology

9. Global Healthcare Cognitive Computing Market Attractiveness Analysis by End-User

10. Global Healthcare Cognitive Computing Market Attractiveness Analysis by Region

11. Global Healthcare Cognitive Computing Market: Dynamics

12. Global Healthcare Cognitive Computing Market Share by Technology (2023 & 2032)

13. Global Healthcare Cognitive Computing Market Share by End-User (2023 & 2032)

14. Global Healthcare Cognitive Computing Market Share by Regions (2023 & 2032)

15. Global Healthcare Cognitive Computing Market Share by Company (2022)

This study forecasts global, regional, and country revenue from 2019 to 2032. The Brainy Insights has segmented the global healthcare cognitive computing market based on the below-mentioned segments:

Global Healthcare Cognitive Computing Market By Technology:

  • Natural Language Processing
  • Automated Planning
  • Machine Learning
  • Computer Vision
  • Automated Reasoning
  • Data Extraction
  • Interpretation
  • Handwriting Recognition/ Optical Character Recognition
  • Language Processing & Language Training
  • Speech Recognition

Global Healthcare Cognitive Computing Market By End-User:

  • Hospitals
  • Medical Devices
  • Pharmaceuticals
  • Insurance

Global Healthcare Cognitive Computing Market By Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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