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Report ID : 1003891777

Published Date : Mar 2025

Market

Mar 2025

Summary

Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected �things� to predict outcomes and learn from successes and failures.

There are many other AI technologies - from image recognition to natural language processing, gesture control, context awareness and predictive APIs - but machine learning is where most of the investment community�s funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans.

Many companies, like Alphabet, have already become �AI-first� companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.

This report focuses on Artificial Intelligence in Insurance.

Scope

This report is part of our ecosystem of thematic investment research reports, supported by our �thematic engine�. About our Thematic Research Ecosystem -
- GlobalData has developed a unique thematic methodology for valuing technology, media and telecom companies based on their relative strength in the big investment themes that are impacting their industry. Whilst most investment research is underpinned by backwards looking company valuation models, GlobalData�s thematic methodology identifies which companies are best placed to succeed in a future filled with multiple disruptive threats. To do this, GlobalData tracks the performance of the top 600 technology, media and telecom stocks against the 50 most important themes driving their earnings, generating 30,000 thematic scores. The algorithms in GlobalData�s �thematic engine� help to clearly identify the winners and losers within the TMT sector. Our 600 TMT stocks are categorised into 18 sectors. Each sector scorecard has a thematic screen, a risk screen and a valuation screen. Our thematic research ecosystem has a three-tiered reporting structure: single theme, multi-theme and sector scorecard. This report is a Multi-Theme report, covering all stocks, all sectors and all themes, giving readers a strong sense of how everything fits together and how conflicting themes might interact with one another.

Reasons to buy

- Our thematic investment research product, supported by our thematic engine, is aimed at senior (C-Suite) executives in the corporate world as well as institutional investors.
- Corporations: Helps CEOs in all industries understand the disruptive threats to their competitive landscape
- Investors: Helps fund managers focus their time on the most interesting investment opportunities in global TMT.
- Our unique differentiator, compared to all our rival thematic research houses, is that our thematic engine has a proven track record of predicting winners and losers.

Companies Discussed are -
Alibaba
Alphabet
Amazon
Apple
ANTVR
Atheer Labs
Avegant
Baker Hughes
BP
Blippar
ConocoPhillips
ExxonMobil
Facebook
Himax
HTC
Halliburton
Honeywell
Improbable
Insta360
Intel
Jaunt
Largan Precision
Leap Motion
Magic Leap
Meta
Microsoft
MindMaze
NextVR
Nvidia
ODG
OTOY
Razer
Samsung
Sony
Schlumberger
Saudi Aramco
Shell
Tencent
Unity Technologies
Vayyar
Vuzix


 

Table Of Content

Table of Contents
PLAYERS 4
TRENDS 5
Technology trends 5
Macro-economic trends 7
Applications of AI in Insurance 8
VALUE CHAIN 14
Ten categories of AI software 15
INDUSTRY ANALYSIS 23
The tech sector’s angle 23
The Web-Scale companies 23
Enterprise software players 24
Proprietary datasets are also important 24
AI and ML are transforming the chipset market 25
The two critical components of any successful AI engine 25
Timeline 28
M&A; 30
IMPACT OF AI ON INSURANCE 31
Insurance case studies 35
Recommendations for IT vendors 36
COMPANIES SECTION 37
Listed tech companies 37
Privately held tech companies 40
Insurance companies 43
TECHNOLOGY BRIEFING 46
Definitions 46
History of machine learning 46
How does deep learning work? 46
APPENDIX: OUR “THEMATIC” RESEARCH METHODOLOGY 49


 

Table & Figure

FAQ's

Methodology

Identifying Key Products in the Market

  1. The identification of key products in any market is pivotal for understanding what drives consumer interest, technological innovation, and competitive advantage. Here’s how to approach this:
  2.  Market Analysis Reports: Start with syndicated market analysis reports from firms like Nielsen, Euromonitor, or specialized industry analysts. These reports often highlight leading products based on sales data, innovation, and consumer feedback.
  3. Patent Filings: Reviewing patent filings can provide insight into technological innovations and future products that may impact the market. Databases like the United States Patent and Trademark Office (USPTO) or the World Intellectual Property Organization (WIPO) can be invaluable.
  4. Ecommerce Platforms and Retailer Websites: Analyzing bestselling products and customer reviews on platforms such as Amazon, Flipkart, or direct retailer websites can offer direct insights into consumer preferences and product popularity.
  5. Consumer Surveys and Feedback: Conducting surveys or analyzing online forums and social media can reveal consumer preferences, pain points, and desired features in products. Tools like SurveyMonkey, Google Surveys, or social listening platforms can facilitate this process.

 

Segmenting the Market and Products

  1. Market and product segmentation is crucial for targeting marketing efforts and product development. Here’s a methodology for segmenting based on technical specifications:
  2. Technical Specifications Review: Compile a comprehensive list of products within the market, focusing on their technical specifications. This could involve processor speeds for electronics, ingredients for food products, or material composition for apparel.
  3. Factor Analysis: Use statistical techniques like factor analysis to group products based on shared technical specifications. This method helps identify underlying relationships between different specifications and how they cluster together.
  4. Expert Consultation: Engage with industry experts or technical specialists to ensure that the segmentation makes sense from both a market and a technical perspective. This step ensures the practical relevance of the segments identified.

 

Identifying and Classifying Key Application Segments

  1. Understanding how products are used in different applications is essential for market strategy:
  2. Use Case Analysis: Identify common use cases for products by reviewing product literature, customer testimonials, and case studies. This helps understand the variety of applications each product serves.
  3. Industry Surveys: Conduct surveys targeting professionals in the field to understand how and why certain products are preferred in specific applications. This can also reveal unmet needs in the market.
  4. ApplicationBased Segmentation: Group products based on their primary applications, considering factors such as industry use, consumer vs. professional use, and environmental conditions.

 

Calculating Market Size Using TopDown and BottomUp Approaches

  1. Estimating the market size accurately is fundamental for strategic planning:
  2. TopDown Approach: Start with global industry data and narrow down to the target market by applying known market shares or segmentation percentages. Industry reports and financial databases are key sources for this approach.
  3. BottomUp Approach: Aggregate sales data or unit shipments from all known market participants. This might require gathering data from company reports, industry associations, and sales channels.
  4. Combining Approaches: Validate the market size estimates by comparing the results from both approaches. Discrepancies can highlight areas requiring further investigation.

 

Calculating the CAGR for the Market

  1. The Compound Annual Growth Rate (CAGR) is a useful measure to understand market growth over time:
  2. Historical Sales Data: Gather historical sales or market size data over a defined period. Public company filings, industry reports, and government databases can be sources for this data.
  3. CAGR Formula: Apply the CAGR formula \[CAGR = (EV/BV)^{1/n}  1\], where EV is the end value, BV is the beginning value, and n is the number of periods.
  4. Segment and Overall Market CAGR: Calculate CAGR for both the overall market and individual segments to understand growth patterns.

 

Sources for Secondary or Desk Research

  1. Identifying the right sources is crucial for accurate desk research:
  2. Industry and Market Research Reports: Sources like IBISWorld, Statista, and Frost & Sullivan offer comprehensive industry reports.
  3. Government and International Organizations: Websites of the U.S. Census Bureau, World Bank, and OECD provide economic and industry specific data.
  4. Academic Journals: Platforms like Google Scholar and JSTOR can offer peer reviewed articles on market trends and consumer behavior.
  5. News Archives and Trade Publications: Stay informed on industry developments through sources like Bloomberg, Reuters, and specific trade journals relevant to the market in question.
  6. Each of these steps requires careful consideration and a systematic approach to ensure that the market research report is robust, insightful, and actionable.

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