Augmented Analytics Market Share, Growth, Statistics, Competitor Landscape, Key Players Analysis, Trends and Forecasts

 Market Analysis 

The global augmented analytics market is predicted to touch USD 13 billion at a stellar 24% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. Augmented analytics tools are utilized for analyzing automated data with the support of natural language processing technology and machine learning techniques. It helps in streamlining the process of data modeling and data profiling thus supporting reuse and data governance. 

Various factors are fuelling the global augmented analytics market share. As per the recent MRFR market estimates, such factors include the increasing volume of complex data, growing adoption of analytical tools for business intelligence, development of artificial intelligence technology, development in blockchain and modernization of digital technology, increasing need for intelligent business tools in data analysis, growing need for increased productivity of business processes, and increasing implementation of natural language processing tools, machine learning, and artificial intelligence. 

On the contrary, lack of skilled workforce, high cost of analytical tools, impact of the COVID-19 pandemic on the global economy, and analyzing the huge generated data by maintaining safety and quality may impede the global augmented analytics market growth over the forecast period. 

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Market Segmentation 

The MRFR report throws light on an inclusive segmental analysis of the global augmented analytics market based on vertical, organization size, deployment mode, and component. 

By component, the global augmented analytics market is segmented into services and software. The services segment is again bifurcated into managed services and professional services. Of these, the service segment will lead the market over the forecast period. 

By deployment, the global augmented analytics market is segmented into hybrid, on-cloud, and on-premise. Of these, the on-cloud segment will dominate the market over the forecast period. 

 By organization size, the global augmented analytics market is segmented into large enterprises and SMEs. Of these, the SMEs will spearhead the market over the forecast period. 

By vertical, the global augmented analytics market is segmented into healthcare, media and entertainment, transportation, energy and utilities, manufacturing, retail, IT and telecommunication, government and defense, BFSI, and others. Of these, BFSI will have the lions share over the forecast period. 

Regional Analysis 

By region, the global augmented analytics market covers the recent trends and growth opportunity across North America, Europe, the Asia Pacific (APAC), and Rest of the World (RoW). Of these, North America will rule the market over the forecast period. Presence of key players in the US, technically advanced infrastructure, high technical expertise in technology like machine learning and natural language processing, widespread customer base in various industry verticals, adoption of advanced analytics to improve business operations, rapid adoption of technologies, and focus by companies to improve their data analysis capabilities are adding to the global augmented analytics market growth in the region. 

In Europe, the global augmented analytics market is predicted to hold the second-largest share over the forecast period. Developing digital technology, increasing need for augmented analytics solutions for business intelligence, and high growth in retail and consumer goods industry are adding to the global augmented analytics market growth in the region. 

In the APAC region, the global augmented analytics market is predicted to have promising growth over the forecast period. Development in digital technology, increasing expertise in machine learning and natural language processing techniques, development in big data analytics and artificial technology, increasing implementation of data discovery, self-service business intelligence tools, and visualization across business organizations are adding to the global augmented analytics market growth in the region. Japan, China, and India hold the utmost market share. 

Key Players 

The leading players profiled in the global augmented analytics market report include Birst, Pyramid Analytics, Logi Analytics, Board International, Yellowfin, Looker, MicroStrategy, Qlik, Sisense, Tibco Software, SAS, Tableau Software, Oracle, Microsoft Corporation, IBM Corporation, SAP SE, and Salesforce. 

The global augmented analytics market is fragmented and also competitive with the presence of many domestic as well as international industry players. They have incorporated assorted strategies to stay at the forefront and also cater to the surging needs of the customers, including collaborations, partnerships, contracts, geographic expansions, new product launches, joint ventures, and more. Additionally, these players are also making heavy investments in research and development activities for strengthening their portfolios and also creating a hold in the market.

Industry Updates 

April 2021- Subex has launched hypersense, an end-to-end augmented analytics platform. 

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Artificial Intelligence (AI) in Supply Chain Market Trends, Size, Key Vendors Analysis, Import & Export and Revenue by Forecast 2027

 Market Overview

The popularity of e-commerce solutions is estimated to enhance the AI in Supply Chain Market 2020. The ICT industry reports are produced by Market Research Future, which highlights market options for expansion.  A 37 % CAGR is projected to bolster the market in the coming period.

The need to include transparency in supply chain processes is estimated to define the AI in Supply Chain Market in the upcoming period. The mounting adoption of connected devices is predicted to open up new growth prospects for the market in the forecast period.

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Segmental Analysis 

The segmental evaluation of the AI in Supply Chain Market is segmented into technology, end-users, deployment, component, application, and region. Based on the component, the AI in Supply Chain Market is segmented into software and hardware. The hardware segment is additionally segmented into memory, processors, and network. The processor's segment is further sub-segmented into GPU, CPU, FPGA, and ASIC. On the basis of technology, the AI in Supply Chain Market is segmented into context-aware computing, natural language processing, machine learning, and computer vision. The deployment basis of segmenting the AI in Supply Chain Market is segmented into on-cloud, on-premise, and hybrid. Based on the applications, the AI in Supply Chain Market is segmented into warehouse management, supplier relationship management, supply chain planning, fleet management, logistics & shipping, risk management, among others. Based on the end-users, the AI in Supply Chain Market is segmented into food & beverage, automotive, retail, manufacturing, aerospace, consumer electronics, and others. Based on the region, the AI in Supply Chain Market is segmented into Europe, Asia-Pacific, North America, and the rest of the world.

Detailed Regional Analysis 

The regional analysis of the market finds that the North American region was the most important AI in Supply Chain Market in 2017, trailed by the regions such as Asia-Pacific and Europe, correspondingly. The technical progress, significantly developed infrastructure, and rising technical know-how in artificial intelligence technology are a few key factors motivating the incorporation of AI-based solutions in supply chain of the industries in the region. The US is the principal market in the region of North America. The increasing market of e-commerce and the escalating market development of the retail industry is on the rise due to demand for the accessibility to sophisticated solutions for logistics and warehouse management. The region of Asia-Pacific in the AI in supply chain market is anticipated to develop with the best mounting CAGR through the forecast period. The escalating market diffusion of E-commerce sustained by the rising trend of online purchase and creating network infrastructure & digital technology are some of the key factors motivating the market augmentation of the AI in supply chain in the region.

Competitive Analysis

The scope of development of the market shows a high growth potential that the market can achieve in the coming years. The strategic allocation and positioning of assets are expected to aid each competitor in the mart with their growth goals. The inducement of definite regulations introduced by the governments of several countries is estimated to enhance the profits that can be gained by the market. The availability of suitable means to build robust distribution channels is estimated to characterize the future expansion of the market in the forecast period. The stability of the economic state is expected to further lend to the favorable development in the global market strength. The improvement in research and development facilities and equipment is further projected to influence the growth of the market in the forecast period. The need to prepare for contingencies such as natural disasters, pandemics, and international trade wars is expected to allow the market a better capability to deal with the challenges.

The noticeable competitors in the market for AI in Supply Chain are Intel Corporation, Xilinx, Inc., Microsoft Corporation, IBM Corporation, Nvidia Corporation, Micron Technology, Amazon, SAP SE, Oracle Corporation, Logility, Inc., Samsung Electronics, and LLamasoft, Inc. among others.

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Adaptive Optics Market Trends, Size, Strategy, Applications Analysis and Growth by Forecast to 2027

 Market overview

The global adaptive optics market 2020 was valued at USD 215.7 million in 2020 and is expected to reach USD 1.8 billion in 2027, with a substantial CAGR of 31.3%, according to a new research report by MRFR.

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Drivers and Restraints

One of the key growth factors driving the adaptive optics market includes the growing investment in optical solutions and advanced optics research and development. In addition, the increasing demand for adaptive optics in the healthcare sector and the expanded use of adaptive optics in applications such as astronomy, aerospace, and cellular imaging are accelerating market development.

Adaptive optics provide real-time image corrections and likely provide sharper imagery. This has a major influence on various vertical facets of the industry such as aerospace & defense, industrial engineering, healthcare, and many others. Using A.O. Technology and its various advantages are incredibly useful because they include minute information in these verticals of the industry. Growing investment in research and development between the various verticals of the industry is expected to have a major effect on the sector. A major growth factor is the demand for high-resolution imagery for higher science learning purposes, as well as increasing work in the healthcare field. In addition, the growing use of adaptive optics in applications like astronomy and aerospace is also promoting market development.

Designs that incorporate adaptive optics are extremely complex and require a high degree of expertise, which is somewhat lacking, thereby restricting growth in the market. In addition, the high initial cost of investment is projected to adversely affect the market. Nonetheless, the momentum that continues in the A.O. Technology and the need for clear and accurate photos are expected to expose opportunities in the years ahead.

Segmental Analysis

By component, the market is segmented into wavefront sensors, mirrors, wavefront modulator, control systems, and others. By type, the market is segmented into multi-object adaptive optics (MOAO),natural guide star adaptive optics (NGAO), multi-conjugate adaptive optics (MCAO), laser guide star adaptive optics (LGAO), ground-layer adaptive optics (GLAO). By the end-user, the global market is segmented into healthcare, military & defense, manufacturing, consumer electronics, I.T. & telecommunication, and others. 

Regional Analysis

Based on the region, the market is segmented into North America, Europe, Asia-Pacific, and the rest of the world.

Among these regions, North America is dominating the market due to the extensive application scope of adaptive optics in various industries. In North America, countries like the U.S. and Canda win the substantial market share due to ongoing developments in optics and related technologies. These countries are considered to be the early adopters in North America and internationally of adaptive optics solutions. With its high military budgets and well-developed industrial military infrastructure, the United States continues to use techniques such as adaptive optics, along with other applications, to develop high-energy laser systems. American spending on defense is expected to remain very high, and it is expected to drive the advancement of modern defense technologies through adaptive optics.

On the other hand, Europe closely follows North America in the adoption of adaptive optic solutions. Many corporations in Europe are investing and partnering with leading optics enterprises to have an integrated solution with their product line-up. Adaptive optics offers a potential opportunity for various enterprises, industries, and governments in Europe.

Key Players

The global adaptive optic market players, as identified by MRFR are Aplegen Inc. (U.S.), Benchmark Electronics Inc. (U.S.), Boston Micromachines Corporation (U.S.), Phasics Corp. (France), Holoeye Photonics AG (Germany), Thorlabs Inc. (U.S.), Northrop Grumman Corporation (U.S.), Adaptive Optics Associates Inc. (U.S.), Synopsys Optical Solution Group (U.S.), Sacher Lasertechnik Gmbh (Germany). Other players in the adaptive optics market include Iris AO Inc. (U.S.), Adaptica S.r.l. (Italy), Active Optical Systems LLC (U.S.), Teledyne e2v (U.K.) Ltd (U.K.), Flexible Optical B.V. (Netherlands), Imagine Optic S.A. (France), Edmund Optics Inc. (U.S.).

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Algorithm Trading Market Trends, Key Vendors Analysis, Import & Export, Revenue by Forecast 2027

 Overview

The algorithm trading market is projected to grow at a CAGR of 12.5% during the forecast period. As per the algorithm trading market research report, the global market for algorithm trading is projected to grow swiftly by US$20.9 billion by 2027. According to analysts, the increase in adoption of automated trading software as well as increase in the demand will drive the market growth during the forecast period. The algorithm trading market research report offers a comprehensive analysis of the global algorithm trading market and its organization size, region, trading type deployment mode, and component segments. The demand for high technical expertise along with absence of standard benchmarks are the elements that could influence the algorithm trading market advancement throughout the forecast period. The algorithm trading market research report by expert analysts is developed to assist organizations in the algorithm trading market.

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Market Segmentation

The global algorithm trading market has been segmented based on organization size, region, trading type deployment mode, and component. On the basis of organization size, the market for algorithm trading is segmented based on large enterprise and small and medium enterprises. Additionally, the market on the basis of trading type, is segmented into bonds, cryptocurrencies, exchange-traded funds, stock markets, and foreign exchange. The global market for algorithm trading is also covered based on the deployment mode segment which is further split into cloud and on-premise. On the basis of components, the market for algorithm trading is segmented based on solutions and services.

Major elements such as lack of transparency could obstruct the algorithm trading market growth. However, according to the algorithm trading market research report, new opportunities for liquidity along with digital transformation across financial sectors  will propel growth throughout the forecast period. The algorithm trading market is set to register growth at a high CAGR owing to these key factors. The exploration of organization size, region, trading type deployment mode, and component segments along with regional markets has been given in the global algorithm trading market research report. The research analysts studying the algorithm trading market have put out market forecasts in the algorithm trading market research report in order to support algorithm trading market-based companies. The algorithm trading market research report provides an extensive understanding of the algorithm trading market based on the information and forecasts till 2024.

Regional Overview

North America, Europe, Asia Pacific and the rest of the world regional market for algorithm trading are predominantly covered in the global algorithm trading market research report. Country-level algorithm trading markets spread across North America – the United States, Canada, and Mexico are also covered in the report. In South America – Brazil and other country-level algorithm trading markets are covered in the report. In Asia-Pacific (APAC) region, the country-level algorithm trading markets covered are Japan, India, China, and others. The algorithm trading market research report also explores the regional market for algorithm trading present in Europe in the United Kingdom, France, Italy, Spain, and Germany, etc. The algorithm trading market research report also covers regional markets from the rest of the world alongside algorithm trading markets of Africa and the Middle East.

Competitive Landscape

Cloud-based trading software solutions are presumed to drive the algorithm trading market growth worldwide. The global algorithm trading market could be challenged by technical limitations and lack of infrastructure to support data visibility, nevertheless, organizations in the algorithm trading market will carry the growth rate forward. The algorithm trading market research report presents company profiles of major companies active in the algorithm trading market globally. Furthermore, the global algorithm trading market report offers an all-inclusive analysis of the market collected from the algorithm trading market’s primary and secondary sources covering both decision makers and thought leaders. The algorithm trading market research report highlights such key areas assisting businesses operating in the algorithm trading market to build better growth strategies.

Industry News

The US investment bank Citi has unveiled a new trading network for all major US, European and Asian Pacific exchanges with a set of execution algorithms for future markets. The latest plattform contains benchmarking algos such as TWAP, VWAP and Near, other methods and intelligent order forms. Benchmarking algos include the TWAP. Its flagship algorithm is a technique known as Arrival that has been built from scratch on the platform. The bank also added that Arrival was planned to reduce the difference by reducing in real time, through different market conditions, the cost trade between market effect and volatility.

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Artificial Intelligence (AI) in manufacturing Market Scenario, Leading Players, Segments Analysis and Growth by Forecast to 2027

 Industry Insight

The take of global artificial intelligence (AI) in the manufacturing market 2020 recorded by Market Research Future reveals that the market can hit 47.09% to the net worth with USD 14.77 billion by 2024 amid the long-term impact of COVID-19. The years of growth is calculated to be from 2019-2024.

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Top Grossing Factors

The global artificial intelligence in the manufacturing market has gathered pace in its growth amid COVID-19 breakthrough with rapidly evolving industrial automation and IoT, at present. Artificial intelligence is one of the highest-growing technologies in recent years. Artificial intelligence is allied with human intelligence with similar characteristics such as understanding, problem-solving, reasoning, language, and learning. An amalgamation of AI in the manufacturing industry offers a safer operational environment, which further assists in enhancing the quality and quantity of production.

One of the main factors, such as the exponential growth in digital data, is motivating the growth of artificial intelligence (AI) in the manufacturing market. It is approximated that by the year 2020, around 1.7 megabytes of new data will be created every second. It is further approximate to expand at 40% over the next ten years. Such growth is attributed to the escalating adoption of big data technologies and IoT devices along with the ascend in popularity of cloud platforms among enterprises. All these factors are cheering the adoption of artificial intelligence solutions among the manufacturers to process the data and extract actionable insights.

Furthermore, the factor of enhancement in automation in the manufacturing industry and the rise in demand for big data integration boost the escalation of artificial intelligence in the manufacturing market. With this, prevalent usage of machine vision cameras in manufacturing applications, such as material movement, machinery inspection, quality control, and field service, is also to drive the growth of artificial intelligence in the manufacturing market for the forecast period.

Segmentation of Market: Artificial Intelligence in Manufacturing

The study by MRFR also digs some segmentation of the global artificial intelligence in the manufacturing market, which has been done through the component, technology, application, and vertical.

In terms of component segment, the market has included software, hardware, and services.  Among these, the hardware segment has included memory, processor, and network. Also, the processor segment has covered the graphical processing unit (GPU), a microprocessor unit (MPU), application-specific integrated circuits (ASICs), and field-programmable gate array (FPGA). In the last segment, the services segment also has a breakdown into support & maintenance and deployment & integration.

In terms of the technology segment, the market has included natural language processing, machine learning & deep learning, computer vision, and context-aware computing.

In terms of the application segment, the market has included supply chain management, predictive maintenance, field services, IT management, robotics, quality control, and others.

In terms of vertical segment, the market has included aerospace & defense, automobile, semiconductor & electronics, energy & power, pharmaceuticals, food & beverage, and others.

Regional Analysis

Market Research Future (MRFR) study has covered some key countries in the regional analysis of artificial intelligence (AI) in the manufacturing market—North America, Europe, Asia-Pacific, the Middle East & Africa, and South America in the rest of the world.

Artificial intelligence in the manufacturing market is currently led by the Asia-Pacific region as the primary economic countries such as India, China, the Philippines, and South Korea are the major manufacturing centers of electronics, semiconductors, pharmaceuticals, and energy & power. Further, the escalating adoption of robots in manufacturing processes is anticipated to aid the region is leading the market throughout the forecast period. 

The region of North America is the second highest contributor to the artificial intelligence market. The US is the first adopter of new technologies for applications such as process planning, factory automation, production scheduling, and engineering design.

Artificial intelligence (AI) in the manufacturing market in Europe is also estimated to gain high momentum during the projected period owing to the mounting adoption of industry 4.0 and robotics by the automotive and aerospace industry.

Top Market Players

Market Research Future has well-known some of the key players in the global artificial intelligence (AI) in the manufacturing market are IBM Corporation, Nvidia Corporation, Intel, Inc., General Electric company, Siemens AG, Microsoft Corporation, Google, Inc., Bosch, Amazon Web Services, Cisco Systems, Rockwell Automation, Foxconn, SAP SE, and others.

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3D Reconstruction Technology Market Business Revenue, Future Scope, Market Trends, Key Players and Forecast To 2027

 3D Reconstruction Technology Market: By Construction Method (Active, Passive), Type (3D reconstruction software, based on images and video), Application (Computer aided geometric design (CAGD), computer graphics, digital media) – Global Forecast till 2027

Market Highlights

The global 3D reconstruction technology market share is projected to witness a rapid growth during the forecast period. Further, 3D technology offers a wide array of applications in various industries, namely consumer products, industrial products, defense & aerospace, automotive, healthcare, education & research and others. The market has been analyzed across different geographic regions including North America, Europe, Asia Pacific and Rest of the World.

The global 3D Reconstruction Technology market, by geography, is segmented into North America, Europe, Asia Pacific, and Rest of the World. As compared to other regions, the 3D Reconstruction Technology market in North America region is expected to witness a significant growth and hold the largest market share during the forecast period. The growth of the market in North America is driven by strong demand from aerospace and defense, healthcare, education, and consumer products industries. Additionally, the strong government support and presence of key manufacturers are further expected to add to the growth of the market in this region. The U.S. held the largest share of the North American 3D reconstruction technology market.

In the global 3D Reconstruction Technology market, Asia Pacific is anticipated to witness a relatively faster adoption at the highest CAGR during the forecast period as compared to other regions. Due to the high adoption of 3D Reconstruction Technology in the automotive sector and factors such as strongest growth potential and presence of major manufacturing hub. Emerging economies from the developing nation such as China and Southeast Asian countries is expected to be the main driving factor for the growth of the market.the market is likely to show immense growth in the coming future.

The global 3D Reconstruction Technology market is projected to reach USD 684 million at a CAGR of over 23% by the end of the forecast period 2020-2027.

Taste the market data and market information presented through more than 30 market data tables and figures spread over 100 numbers of pages of the project report. Avail the in-depth table of content TOC & market synopsis on “3D Reconstruction Technology market Research Report-Forecast to 2027”.

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 3D Reconstruction Technology market Segmentation:

The global 3D reconstruction technology market is segmented by construction method, type and application. On the basis of construction method, the market is segmented into active and passive. And on the basis of type, the market is segmented into 3D reconstruction software, based on images and video, based on 3D scanning. And by application segment, the market is segmented into culture heritage and museum, films & games, 3D printing, drones and robots. Computer aided geometric design (CAGD), computer graphics, computer animation, computer vision, medical imaging, computational science, virtual reality, digital media and other.

Some of the prominent players in the global 3D Reconstruction Technology market are Pix4D (Switzerland), Agisoft PhotoScan (Netherlands), Autodesk (U.S.), Acute3D/Context Capture (Now part of Bentley Systems) (U.S.), PhotoModeler/Eos Systems Inc (Canada), Photometrix, Elcovision/PMS AG (Australia), Matterport (U.S.), 4Dage Technology (China), Shenzhen Zhineng (China), Shixian Technology (China) and others.

Market Research Analysis:

North America market accounts for highest share in the 3D Reconstruction Technology market, whereas Asia Pacific market is projected to acquire highest share during the forecast period. The North American market is witnessing rapid growth due to technological advancements and increasing demand for 3D technology across different industry verticals in this region. The U.S. holds majority of the market share both in terms of revenue as well as adoption of advance solutions.

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AI in Insurance Market Global Trends, Size, Shares, Strategy, Applications Analysis and Growth by Forecast to 2027

 Market Overview

Market Research Future (MRFR) report on the global AI in the insurance market (2020-2027) addresses the COVID-19 analysis of a critical factor affecting the market growth. The research examines competition in the regional and global markets, providing a holistic evaluation of factors that could have a significant impact on the industry's outlook over the forecast period.

Artificial Intelligence is affecting every step of the insurance value chain. AI technologies like machine vision, machine learning and deep learning, natural language processing (NLP), and robotic automation can re-imagine the entire insurance lifecycle from customer acquisition to claims processing. Adopting AI allows insurance companies to stay competitive on the market, drive operational excellence, and boost growth.

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Market Dynamics

Machine learning and deep learning algorithms help drive smart, automated applications like healthcare diagnosis, predictive maintenance, customer service, self-driving cars, automated data centers, and smart homes. The rising need to offer personalized insurance services and automate the operational process are factors propelling the growth of Artificial Intelligence in Insurance industry around the globe. AI technologies are capable of managing vast quantities of customer and enterprise data and different tasks more efficiently and reliably compared to humans, enabling insurance professionals to concentrate more on challenging and high-value activities. AI is becoming an expert at recognizing faces or images and spoken language with the aid of technologies like NLP and computer vision that give intuitive experience. In addition, the increasing acceptance of IoT technology is also expected to fuel market growth. Growing volume and speed of data generation with the adoption of IoT is anticipated to push the need to automate the process of generating actionable insights using advanced machine learning and deep learning algorithms.

Nevertheless, the lack of technical expertise related to complex AI algorithms is hindering market development. The industry is looking for opportunities for advances in machine learning and deep learning algorithms. Whereas the risks associated with data leakage and cybersecurity breaches are significant challenges facing the industry.

Interactive insurance chatbots, insurance analytics, customized claims settlements, behavioral premium pricing, fraud, and risk management are various AI cases in the insurance industry. Adoption of UAVs and smart devices for extreme surveillance are the prevailing trends in the market. The insurance industry is expected to be mainly impacted by technologies such as blockchains and big data analytics.

Market Segmentation

The global market for AI in the insurance has been segmented into components, technology, deployment, application, and sector.

By component, the global AI in the insurance market has been segmented into hardware, software, and services.

By technology, the global AI in the insurance market has been segmented into machine learning and deep learning, machine vision, robotic automation, and natural language processing (NLP).

By deployment, the global AI in the insurance market has been segmented into on-cloud and on-premise.

By application, the global AI in the insurance market has been segmented into claims processing, chatbots, risk management and compliance, personalized recommendation, and others.

By sector, the global AI in the insurance market has been categorized into life insurance, health insurance, title insurance, auto insurance, and others.

Regional Analysis

By region, the global AI in the insurance market has been segmented into North America, Asia Pacific (APAC), Europe, the Middle East and Africa, and South America.

North America dominates the global Artificial Intelligence (AI) in Insurance market. The region is an early adopter of emerging technologies and a hub for a variety of AI solution providers. Among all the nations in the region, the US has the largest market share due to its highly skilled workforce in enterprises and research and development capabilities, aimed at developing AI technologies to improve the efficiency of the insurance process. Europe trails North America in terms of market share; it is estimated that there will be substantial growth in the global AI in the insurance market.

The Asia Pacific is expected to be the fastest-growing region in the forecast period. Government initiatives promoting digitalization and growing investment in advanced technologies like AI and IoT are rising demand for AI across the insurance industry. The global AI in the insurance market in the Middle East & Africa and South America is also expected to expand at a notable pace during the forecast period due to the increasing need to automate the insurance process and provide personalized insurance services to help companies retain a competitive edge in the market.

Key Players

The prominent participants active in the global market of AI in insurance are Microsoft Corporation (US), ZhongAn (China), Amazon Web Services Inc. (US), IBM Corporation (US), BIMA (UK), Avaamo Inc (US), Cape Analytics LLC (US), Acko General Insurance (India), Shift Technology (France), Quantemplate (US), Zurich Insurance Group (Switzerland), Lemonade (US), Wipro Limited (India), Trov (Japan), and Slice (US).

Insurify (US), Planck Re (US), Insurmi (US), PolicyPal (Singapore), and Tractable (UK) are some of the other participants in the market.

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