As the enterprises across industries are growing, there is a paradigm shift in terms of technology used by them. Artificial Intelligence (AI) is one such buzzing term in the computing industry and is all set to revolutionize various industry sectors. AI is defined as the system that combines computer science and neuroscience to compute and analyse data so that it can act in a way similar to the human brain. Cognitive capabilities could be learnt with the help of an expert (supervised) or on its own (unsupervised). It includes various types of hardware, machine learning software, AI platforms, and services involved in cognitive computing of data in the form of image, video, speech, text, computer logs, big data, and sensor data. An increasing demand for the AI technology is fuelled by affective computing, cognitive computing, virtual reality, perceptual interface, affective agents, augmented reality, facial recognition, emotion detection and recognition, and chat bots service. Due to its vast application areas, the AI technology has occupied the main stream discussion among industry experts and researchers. As a result, several enterprises have increased their R&D investments in studying AI application areas.
The major challenge for any business today is the gap between data collection, insights, and action; and the AI technology helps businesses to bridge this gap in real time. Data generated across the organization by natural human language, machines, and business processes is increasing rapidly. At the same time, the volume of structured and unstructured data is also growing at an exponential rate. Machine Learning (ML) and Natural Language Processing (NLP) are the integral parts of the AI technology to help businesses to gain valuable insights hidden in unstructured data, analyze the information, and then find the relevant answers to make more confident and effective business decisions that impact their performance and revenue. With the advancement in AI technology hardware manufacturers are able to replace lager hardware devices with smaller, efficient, and powerful neuromorphic chips-based systems. These hardware solutions includes MPUs, GPUs and FPGAs that are being widely used to implement the machine learning algorithms. Moreover, AI applications such as computer vision and predictive analytics requires a large volume of data to train, test, and validate, which may present the storage challenges. Hardware vendors are coming up with low latency and high performance memory solutions for theses AI applications.
The innovative technologies including IoT, advanced analytics, and big data are giving a new leash to the AI technology, and are widely used with many applications, such as image recognition, speech recognition, face recognition, and risk and fraud detection. In addition, the proliferation of large and multidimensional data sets, an increasing focus on solving real-time problems by analysing data, and an increasing need for transforming the business processes from reactive to proactive are some of the major factors driving the adoption of the AI technology across the globe. Owning to its vast applications from robotics to forecast and decision-making, the demand for AI-powered solutions is expected to increase in various industry verticals including BFSI; manufacturing; retail; government and defense; energy and utilities; healthcare and life sciences; telecommunication. In the BFSI vertical, application areas for the AI technology include fraud and risk management, customer segmentation, sales and marketing campaign management, investment prediction, and digital assistance. In the healthcare and life sciences vertical, the AI technology finds its application in disease identification and diagnosis, image analytics, personalized treatment, and drug discovery/manufacturing. Major AI application areas in the manufacturing vertical include predictive maintenance, revenue estimation, demand forecasting, and supply chain management.
The major use cases for AI technology prevailing in the telecommunication industry includes customer analytics, network optimization, and network security. In customer analytics, the telecom vendors can understand customer behavior pattern, analyse Call Detail Records (CDRs), and customer churn prediction from the customer data generated every second, which includes plan details, demographic details, services consumed, and spending pattern. AI powered solutions help the telecom vendors to use advanced analytics on customer data to generate a real-time view of customer preferences. Moreover, AI powered solutions enable telecom operators to acquire a deeper understanding of users and improving their experience at every touchpoint through high performance services, fast feedback, customized offerings, and thus make near real-time and fact-based decisions.
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As the enterprises across industries are growing, there is a paradigm shift in terms of technology used by them. Artificial Intelligence (AI) is one such buzzing term in the computing industry and is all set to revolutionize var ....see more
The customer data platform market is experiencing substantial growth, with the global market size expected to increase from around USD 9.72 billion in 2025 to USD 37.11 billion by 2030, registering a CAGR of 30.7%. The major players in the customer data platform market include Oracle (US), SAP (Germany), Adobe (US), Salesforce (US), Twilio (US), Microsoft (US), SAS Institute (US), Teradata (US), Cloudera (US), Nice (Israel), Dun & Bradstreet (US), Leadspace (US), Upland Software (US), CaliberMind (US), and Tealium (US).
The agentic AI market is projected to grow from USD 13.81 billion in 2025 to USD 140.80 billion by 2032, registering a CAGR of 39.3% over the forecast period. The major players in the agentic AI market include IBM (US), NVIDIA (US), OpenAI (US), Oracle (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), LivePerson (US), Waymo (US), Tempus AI (US), Mobileye (Israel), Uber (US), DJI (China), Boston Dynamics (US), Shield AI (US), Anduril Industries (US), AeroVironment (US), Tesla (US), Kore.ai (US), Amelia (US), Softbank Robotics (Canada), Aisera (US), Rasa (US), Stability AI (UK), Infinitus Systems (US), Level AI (US), Leena AI (US), Cujo AI (US), Skydio (US), Cognigy (Germany), ANYbotics (Switzerland), Badger Technologies (US), Monica.im (Singapore), Deeproute.ai (US), Adept (US), Nanonets (US), Wayve (UK), Seegrid (US), and Blue River Technologies (US).
The NLP in healthcare & life sciences market is expanding rapidly, with a projected market size anticipated to rise from about USD 5.18 billion in 2025 to USD 16.01 billion by 2030, featuring a CAGR of 25.3%. The major players in the NLP in healthcare & life sciences market include Microsoft (US), Google (US), IQVIA (US), Oracle (US), IBM (US), Lexalytics (US), Averbis (Germany), Emtelligent (Canada), Gnani.ai (India), and Deep 6 AI (US).
The generative AI market is experiencing a seismic growth trajectory, projected to surge from USD 71.36 billion in 2025 to USD 890.59 billion by 2032, at a CAGR of 43.4% during the forecast period. The major players in the generative AI market include IBM (US), NVIDIA (US), OpenAI (US), Anthropic (US), Meta (US), HPE (US), AMD (US), Oracle (US), Innodata (US), iMerit (US), Salesforce (US), Telus Digital (US), Microsoft (US), Google (US), AWS (US), Adobe (US), Accenture (Ireland), Capgemini (France), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), Databricks (US), Dialpad (US), Appen (Australia), Insilico Medicine (Hong Kong), Simplified (US), AI21 Labs (Israel), Hugging Face (US), Persado (US), Copy.ai (US), Synthesis AI (US), Hypotenuse AI (US), Together AI (US), Mistral AI (France), Adept (US), Stability AI (UK), Lightricks (Israel), Cohere (Canada), Writesonic (US), Inflection AI (US), Colossyan (UK), Jasper (US), Runway (US), Inworld AI (US), Typeface (US), Upstage (South Korea), H2O.ai (US), Speechify (US), Midjourney (US), Fireflies (US), Synthesia (UK), Mostly AI (Austria), Forethought (US), Character.ai (US), Cursor (US), DeepSeek (China), XAI (US), Abridge (US), Perplexity AI (US), SambaNova (US), Scale AI (US), Labelbox (US), and HQE Systems (US).
The conversational AI market is set for significant expansion and is expected to grow from USD 17.05 billion in 2025 to USD 49.80 billion by 2031, indicating a strong CAGR of 19.6% during the forecast period. The major players in the conversational AI market include Microsoft (US), IBM (US), Google (US), OpenAI (US), Baidu (China), Boost.ai (Norway), Verloop.io (India), OneReach.ai (US), Omilia (Cyprus), and Aisera (US).
The AI avatar market is expanding rapidly, with a projected market size anticipated to rise from USD 0.80 billion in 2025 to USD 5.93 billion by 2032, featuring a CAGR of 33.1%. The major players in the AI avatar market include Synthesia (UK), HeyGen (US), D-ID (Israel), Akool (US), Veritone (US), NVIDIA (US), AWS (US), Meta (US), Vyond (US), and Soul Machines (US).
The AI as a service (AIaaS) market is projected market USD 91.20 billion by 2030, featuring a CAGR of 35.1% during the forecast period. The major players in the AI as a Service market include Microsoft (US), IBM (US), Google (US), AWS (US), OpenAI (US), NVIDIA (US), Salesforce (US), Oracle (US), SAP (Germany), and HPE (US).
The market for artificial intelligence is slated to expand from USD 371.71 billion in 2025 to USD 2,407.02 billion by 2032, at a CAGR of 30.6% during the forecast period. The major players in the AI market include Google (US), Microsoft (US), IBM (US), Oracle (US), AWS (US), Intel (US), Salesforce (US), SAP (Germany), AMD (US), Qualcomm (US), Cisco (US), Meta (US), HPE (US), Siemens (Germany), NVIDIA (US), Baidu (China), SAS Institute (US), OpenAI (US), Huawei (China), Alibaba Cloud (China), Centific (US), Fractal Analytics (US), Tiger Analytics (US), Quantiphi (US), Databricks (US), iMerit (US), Telus International (Canada), Innodata (US), Sama (US), C3 AI (US), HQE Systems (US), Appier (Taiwan), Adept (US), H20.AI (US), Spot AI (US), Anthropic (US), Cohere (Canada), Inbenta (US), Character.ai (US), DeepL (Germany), Inflection AI (US), Arrow AI (US), Observe.ai (US), Anyscale (US), AI21 Labs (Israel), Persado (US), Dialpad (US), Graphcore (UK), Shield AI (US), Gamaya (Switzerland), Arthur AI (US), ADA (Canada), Mostly AI (Austria), Metropolis Technologies (US), Cerebras (US), Jasper (US), Soundful (US), Writesonic (US), One AI (Israel), Synthesia (UK), Snorkel (US), Labelbox (US), Appen (US), and Cogito Tech (US).
The AI in energy market is projected to reach USD 58.66 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 36.9% during the same period. The major vendors covered in the AI in energy market are Schneider Electric SE (France), GE Vernova (US), ABB Ltd (Switzerland), Honeywell International (US), Siemens AG (Germany), AWS (US), IBM (US), Microsoft (US), Bidgely (US), and Oracle (US).
The edge AI software market is projected to reach USD 8.88 billion by 2031, at a CAGR of 24.4% during the forecast period. Some of the major edge AI software providers include Microsoft (US), IBM (US), Google (US), AWS (US), Synaptics (US), Gorilla Technologies (UK), Intel (US), Infineon Technologies (Germany), Intent HQ (UK), Baidu (China), and NVIDIA (US). These companies employ both organic and inorganic growth strategies, such as product launches, acquisitions, and partnerships, to strengthen their position in the edge AI software market.
The AI agents market is projected to reach USD 52.62 billion by 2030 at a CAGR of 46.3% during the forecast period. The major players in the AI agents market include Google (US), Amelia (US), IBM (US), OpenAI (US), and AWS (US). Some of the SMEs and startups are Fluid AI (India), Stability AI (UK), Cognigy (Germany), Aisera (US), and Cognosys (Canada).
The Small Language Model (SLM) market is projected to reach USD 5.45 billion in 2032, growing at a CAGR of 28.7% during the forecast period. The major players in the small language model market include Microsoft (US), IBM (US), Infosys (India), Mistral AI (France), AWS (US), Meta (US), Anthropic (US), Cohere (Canada), OpenAI (US), Alibaba (China), Arcee AI (US), Deepseek (China), Upstage AI (US), AI21 Labs (Israel), Krutrim (India), Stability AI (UK), Together AI (US), Lamini AI (US), Groq (US), Malted.ai (UK), Predibase (US), Cerebras (US), Ollama (US), Fireworks AI (US), Snowflake (US), and Prem AI (Switzerland).
The legal AI software market is expected to grow from USD 3.11 billion in 2025 to USD 10.82 billion by the year 2030, at a CAGR of 28.3% during the forecast period. The major players in the legal AI software market include LexisNexis (US), Thomson Reuters (Canada), Sirion (US), Wolters Kluwer (Netherlands), Relativity (US), CS DISCO (US), and Consilio (US), along with SMEs and startups such as Harvey (US), vLex (US), Lawgeex (US), Neota Logic (US), and eBrevia (US).
The AI in finance market size is projected to reach USD 190.33 billion by 2030, at a CAGR of 30.6% during the forecast period. Some major players in the AI in Finance Market include FIS (US), Fiserv (US), Google (US), Microsoft (US), Zoho (India), IBM (US), Socure (US), Workiva (US), Plaid (US), SAS (US), C3 AI (US), HighRadius (US), AWS (US), SAP (Germany), HPE (US), Oracle (US), Intel (US), NVIDIA (US), Salesforce (US), DataRobot (US), Enova International (US), AlphaSense (US), NetApp (US), Ocrolus (US), Vectra AI (US), Teradata (US), Pega (US), Vena Insights (US), Affirm (US), Symphony AI (US), Envestnet Yodlee (US), Addepto (Poland), Deeper Insights (UK), H2O.ai (US), App0 (US), Underwrite.ai (US), Deepgram (US), Emagia (US), InData Labs (US), Zest AI (US), Scienaptic AI (US), Gradient AI (US), Kasisto (US), Trumid (US), DataVisor (US), Kavout (US), WealthBlock (US).
The AI for Sales and Marketing Market is expected to grow from USD 57.99 billion in 2025 to USD 240.58 billion by the year 2030, at a compound annual growth rate (CAGR) of 32.9% during the forecast period.The key players Salesforce (US), Google (US), Adobe (US), Microsoft (US), Oracle (US), AWS (US), OpenAI (US), IBM (US), NVIDIA (US), and SAP (Germany).
The markets highlighted in this study represents a staggering $35 trillion opportunity by 2035. MnM industry experts have analysed more than 6,000 markets to uncover the dynamic, fast-growing markets that will drive global GDP growth over the next decade, from $115tr to $155 Tr by 2035. We’ve moved from being nomads and hunters to living in cities and trying to automate everything we see around us. And we’re not done. Today, we are looking toward an even greater level of economic growth over the next ten years—Industry 5.0 looms large and presents opportunities of over USD 35 trillion through 2035.
Global IT spending on devices, data center systems, enterprise software, IT services, and communications services is forecast to reach USD 5.7 trillion by 2025 (9.3% growth over 2024). OpenAI, Microsoft, Google, AWS, and Adobe are the major players in generative AI, with more than 45% combined market share in 2024. Other prominent market players are NVIDIA, Meta, Anthropic, Accenture, and IBM. In 2024, key generative AI providers strive to maintain their leadership positions with new product launches & product enhancements, multimodal AI advancements, strategic deals, and partnerships & collaborations. In 2025, Generative AI providers will invest in ethical AI frameworks, real-time multimodal capabilities, and AI democratization to enhance usability, address bias, and ensure data security, meeting the growing demand for personalized, transparent, and scalable AI solutions across industries.
The AI for customer service market is projected to reach USD 47.82 billion by 2030, at a CAGR of 25.8% during the forecast period. Some major players in the AI for customer service Market include Microsoft (US), IBM (US), Google (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US), Sprinklr (US), OpenAI (US), Aisera (US), UiPath (US), HubSpot (US), NICE (Israel), Intercom (US),Qualtrics (US), Freshworks (US), LivePerson (US), HelpShift (US), Yellow.ai (US), Cogito (US), SmartAction (US), Talkdesk (US), Five9 (US), RingCentral (US), Nextiva (US), Kore.ai (US), Dynamic Yield (US), Jio Haptik (India), Oracle (US), Afiniti (Bermuda), Kommunicate (US), Help Scout (US), Gorgias (US), Atera (Israel), Ada (US), Kustomer (US), Levity (Germany), Cognigy (Germany), Engageware (US), Netomi (US), Level AI (US), Sybill AI (US), OneAI (US), Brainfish (Australia), SentiSum (England), Balto (US), Tovie AI (UK), Guru (US), Tidio (US), Quiq (US), Aircall (US), OneReach.ai (US), Cresta (US), Deepdesk (Netherlands), Front (US), Fullview (Denmark), Crescendo AI (US), Gridspace (US).
The AI in tourism market is projected to reach USD 13.38 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 28.7% during the forecast period. The major vendors covered in the AI in tourism market are Snowflake (US), IBM (US), NVIDIA (US), Microsoft (US), AWS (US), Salesforce (US), Huawei (China), Appier (Taiwan), Sabre Corporation (US), SAS Institute (US), [24]7.ai (US), Virtusa Corporation (US), Travelport (UK), Amadeus (Spain), Devon Software (Poland) , Artisoft (US), Jio Haptik Technologies Limited (India), SHR Group (US), Duve (US), Nescient (US), Persado (US), Canary Technologies (US), Mize (US), FLYR (US), Geovana (US), Layla AI (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI in tourism market.
The global AI governance market size is projected to reach USD 5,776.0 million in 2029, at a CAGR of 45.3% over the forecast period. The major players in the AI governance market include Microsoft (US), IBM (US), SAS Institute (US), DataRobot (UK), and Dataiku (US), along with SMEs and startups such as Fiddler AI (US), 2021.AI (Denmark), Monitaur (US), Credo AI (US), and Fairly AI (Canada).
The global AI in social media market size is projected to reach USD 10.3 billion in 2029, at a CAGR of 36.2% during the forecast period. Some major players in the AI in social media Market include Google (US), Meta (US), IBM (US), Sprout Social (US), Sprinklr (US), AWS (US), LivePerson (US), HubSpot (US), Microsoft (US), Adobe (US), Baidu (China), OpenAI (US), Hootsuite (US), Qualtrics (US), Brandwatch (UK), Converseon (US), Meltwater (US), Quid (US), Digimind (France), CreatorIQ (US), Aspire.io (US), Lately.AI (US), SocialPilot (US), Copy.ai (US), Flick (UK), Dash Hudson (US), Jasper (US), Upfluence (US), Ocoya (Lithuania), Upgrow (US), StoryChief (Belgium), Genius.AI (UAE), ContentStudio (US), Emplifi (US), Lumen5 (US), Buffer (US), Narrato (India), Mentionlytics (UK), Kapwing (US), Predis.AI (India), Pictory (US), Midjourney (US), and Synthesia (UK).
The AI in retail market is projected to reach USD 164.74 billion by 2030, at a CAGR of 32.0% during the forecast period. Microsoft (US), IBM (US), Google (US), Amazon (US), Oracle (US), Salesforce (US), NVIDIA (US), SAP (Germany), ServiceNow (US), Accenture (Ireland), Infosys (India), Alibaba (China), Intel (US), AMD (US), Fujitsu (Japan), Capgemini (France), TCS (India), Talkdesk (US), Symphony AI (US), Bloomreach (US), C3.AI (US), Visenze (Singapore), Pathr.ai (US), Vue.AI (US), Nextail (Spain), Daisy Intelligence (Canada), Cresta (US), Mason (US), Syte (Israel), Trax (Singapore), Feedzai (US), and Shopic (Israel).
The knowledge graph market is projected to reach USD 6,938.4 million by 2030 at a Compound Annual Growth Rate (CAGR) of 36.6 % during the same period. The major vendors covered in the Knowledge graph market are IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea), ArangoDB (US), Fluree (US), Memgraph (UK), GraphBase (Australia), Metaphacts (Germany), RelationalAI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), ESRI (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the Knowledge graph market.
The AI in media market size is projected to reach USD 51.08 billion by 2030, at a CAGR of 35.6% during the forecast period. Some major players in the AI in media Market include Google (US), Microsoft (US), IBM (US), Meta (US), OpenAI (US), Baidu (China), AWS (US), Adobe (US), Sprinklr (US), C3 AI (US), Hootsuite (US), Veritone (US), Taboola (US), Sprout Social (US), SymphonyAI (US), Brightcove (US), Unity (US), Yellow.ai (US), Appier (US), Snowflake (US), Autodesk (US), Verbit (US), Ubisoft (France), Vimeo (US), NVIDIA (US), Salesforce (US), AI-media (Australia), Canva (Australia), Cinelytic (US), Vault AI (US), StoryFit (US), ScriptBook AI (Belgium), Synthesia (England), Murf AI (US), Lumen5 (US), Jasper (US), Aiva Technologies (Luxembourg), DeepMotion (US), HyperWrite (US), Canvs AI (US), Captions (US), VEED.IO (England), Krikey (US), Vista Social (US), Beatoven.ai (India), Contai.io (UK), Looka (US).
The property management market size is projected to reach USD 42.78 billion by 2030, at a CAGR of 8.3% during the forecast period. Some major players in the property management market include Oracle (US), IBM (US), Appfolio (US), SAP (Germany), Hitachi Vantara (US), Yardi (US), RealPage (US), SS&C (US), Trimble (US), Eptura (US), CoStar Group (US), Hemlane (US), Entrata (US), Rent Manager (US), Rentec Direct (US), Re-leased (UK), Doorloop (US), Stessa (US), JLL (US), MCS Rental Software (UK), Accruent (US), Planon (Netherlands), Guesty (Israel), Hive (Germany), Avail (Sweden), Property Matrix (US), HappyCo (US), Resman (US), Innago (US), Finquery (US), Rentredi (US), Turbotenant (US), Breezeway (US), Livly (US), SimplifyEm (US), Condo Control (US) and PayHOA (US)
The Emotion AI market is projected to reach USD 9.01 billion by 2030, at a CAGR of 21.9% during the forecast period. The report profiles key players such as IBM (US), Microsoft (US), Google (US), Amazon (US), Smart Eye (Sweden), Entropik Tech (India), Uniphore (US), Audeering GmbH (Germany), VIER GmbH (Germany), Cognitec (Germany), Symanto (Germany), Realeyes (UK), CIPIA Vision (Israel), Noldus (Netherlands), Cogito (US), Morphcast (US), Voicesense (Israel), Superceed (Malaysia), Siena AI (US), Opsis (Singapore), Behavioral Signals (US), Hume (US), Kairos (US), Beemotion.AI (Australia), Intelligent Voice (UK), Davi (France), Utrigg (Ukraine), AttentionKart (India) and VERN AI (US).
The causal AI market is projected to reach USD 456.8 million by 2030, expanding at a CAGR of 41.8% during the forecast period. The major players in the Causal AI market include IBM (US), Logility (US), CausaLens (UK), Aitia (US), Causely (US), Geminos (US), along with SMEs and startups such as Data Poem (US), CausaAI (Netherlands), Causa (UK), Lifesight (US), amd Actable AI (UK).
The AI in education market size is projected to reach USD 5.82 billion by 2030, at a CAGR of 17.5% during the forecast period. Some major players in the AI in education Market include Microsoft (US), IBM (US), Google (US), Alibaba Cloud (China), AWS (US), Adobe (US), Pearson (UK), Baidu (China), OpenAI (US), Duolingo (US), Cengage Group (US), Knewton (US), Skillsoft (US), Udacity (US), Stride (US), HPE (US), Carnegie Learning (US), Dreambox Learning (US), Quizlet (US), Grammarly (US), Vimeo (US), Riiid (South Korea), Cognii (US), Elsa Speak (US), Memrise (UK), Alef Education (UAE), Querium (US), Amira Learning (US), Knowre (US), Century Tech (UK), Thinkster Math (US), Quizizz (India), Khan Academy (US), Sana Labs (Sweden), Teachmint X (India), 360Learning (US), Mainstay (India), Blippar (UK), Blue Canoe Learning (US), Otter.ai (US), Quillbot (US), Nolej (France), and Speechify (US).
The AI in Sports market is projected to reach USD 2.61 billion by 2030 at a compound annual growth rate (CAGR) of 16.7% during the forecast period. The major vendors covered in the AI in Sports market are Cisco (US), IBM (US), Intel (US), Microsoft (US), AWS (US), SAP SE (Germany), Ericsson (Sweden), Oracle (US), Stats Perform (US), Tech Mahindra (India), Sportradar AG (Switzerland), HCL Technologies (India), Extreme Networks (US), Salesforce (US), SAS Institute (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI in Sports market.
The AI training dataset market size is projected to reach USD 9.58 billion in 2029, and is set to grow at a CAGR of 27.7% during the forecast period, . The major players in the AI training dataset market include Scale AI (US), Appen (Australia), Lionbridge Technologies (US), AWS (US), and Sama (US), along with SMEs and startups such as Snorkel AI (US), V7 Labs (UK), Alegion (US), Toloka AI (US), and iMerit (US).
The AI voice generator market is projected to reach USD 20.4 billion by 2030 and at CAGR 37. 1% is witnessed during the forecast period. The major players in the AI voice generator market include IBM (US), NVIDIA (US), OpenAI (US), Meta (US), Microsoft (US), Google (US), AWS (US), Cisco (US), SoundHound (US), Speechify (US), ElevenLabs (US), Synthesia (UK), PlayHT (US), Resemble AI (US), Stability AI (UK), Runway (US).
The AI image generator market is projected to reach USD 60.8 billion in 2030, experiencing a compound annual growth rate (CAGR) of 38.2% during the forecast period. The significant AI image generator market Companies include Google (US), Microsoft (US), AWS (US), Adobe (US), NVIDIA (US), OpenAI (US), Meta (US), Anthropic (US), Databricks (US), Synthesia (UK), VEED.io (England), Runway (US), Jasper (US), Krea AI (US), Simplified (US), Lumen5 (Canada), Lightricks (Israel), Hypotenuse AI (US), Writesonic (US), Colossyan (UK), D-ID (Israel), Midjourney (US), Descript (US), Animaker (US), DeepBrain AI (US), Caspa AI (UK), Facet AI (US), Canva (Australia), Luma AI (US), Kuaishou Technology (China), Fliki (US), Elai.io (US), Speechify (US), Inworld AI (US), Invideo (US), HeyGen (US), Tavus (US), Lovo AI (US), Appy Pie (India), Designs.ai (Singapore), FlexClip (China), and Wondershare (China). These companies have used organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI image generator market.
The Generative AI cybersecurity market is projected to reach USD 40.1 billion by 2030. This phenomenal upward trend, characterized by a remarkable CAGR of 33.4% during the forecast period. The generative AI cybersecurity solution and service providers have implemented several types of go-to-market strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the generative AI cybersecurity market include Palo Alto Networks (US), AWS (US), CrowdStrike (US), SentinelOne (US), and Google (US), along with SMEs and startups such as MOSTLY AI (Austria), XenonStack (UAE), BigID (US), Abnormal Security (US), and Adversa AI (Israel)
The AI Model Risk Management market is projected to reach USD 10.5 billion by 2029 at a compound annual growth rate (CAGR) of 12.9% during the forecast period period. List of top companies in the AI Model Risk Management Market include Microsoft(US), IBM(US), SAS Institute (US), AWS (US), H2O.ai (US), Google (US), LogicGate (US), LogicManager (US), C3 AI (US), MathWorks (US), Alteryx (US), DataBricks (US), Robust Intelligence (US), CIMCON Software (US), Empowered Systems (UK), Mitratech (US), Yields.io (Belgium), MeticStream (US), IManage (US), UpGuard (US), Apparity (US), AuditBoards (US), NAVEX Global (US), Scrut Automation (India), DataTron (US), Krista (US), Fairly AI (Canada), ModelOp (US), Armilla AI (Canada), Crowe (US), and ValidMind (US).
The Deepfake AI market is projecting to USD 5,134 million by 2030. This phenomenal upward trend, characterized by a remarkable CAGR of 44.5% during the forecast period, The major players in the deepfake AI market include Synthesia (UK), Reface (Ukraine), Sentinel AI (Estonia), Pindrop (US), BioID (Germany), along with SMEs and startups such as D-ID (Israel), DuckDuckGoose (Netherlands), Q-Integrity (Switzerland), Sensity AI (Netherlands) and Kroop AI (India).
The global market for the natural language understanding (NLU) market is projected to reach USD 62.9 billion in 2029, at a CAGR of 26.8% during the forecast period. The major NLU solutions and service providers Microsoft (US), Google (US), IBM (US), AWS (US), Meta (US), SAS Institute, Oracle (US), Salesforce (US), OpenAI (US), SoundHound AI (US), IQVIA (US), LivePerson (US), Haptik (India), Kapiche (Australia), Rasa (US), MindMeld (US), Hugging Face (US), Conversica (US), Expert.ai (Italy), Verbio Technologies (Spain), Wolfram (US), Cortical.io (Austria), Omilia (Cyprus), Cognigy (Germany), Plasticity (US), Afforai (US), Tune AI (US), Vebrit.ai (US), Synthesys (UK), Picovoice (Canada), Symbl.ai (US), Tisane Labs (Singapore), Prosa.ai (Indonesia), Abacus.AI (US), Forethought (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the NLU market.
The global ModelOps Market is projected to reach USD 29.5 billion in 2029, at a CAGR of 40.2% during the forecast period. The significant ModelOps platform and service providers include IBM (US), Google (US), Oracle (US), SAS Institute (US), AWS (US), Teradata (US), Palantir (US), Veritone (US), Altair (US), c3.ai (US), TIBCO (US), Databricks (US), Giggso (US), Verta (US), ModelOp (US), Comet ML (US), Superwise (Israel), Evidently Al (US), Minitab (US), Seldon (UK), Innominds (US), Datatron (US), Domino Data Lab (US), Arthur (US), Weights & Biases (US), Xenonstack (US), Cnvrg.io (Israel), DataKitchen (US), Haisten AI (US), Sparkling Logic (US), LeewayHertz (US). These companies have used organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the ModelOps Market.
The global no-code AI platforms market is projected to reach USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. The major No-code AI platforms providers include IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the no-code AI platforms market.
The AI Studio market is projected to reach USD 32.7 billion by 2029, at a compound annual growth rate (CAGR) of 38.4% during the forecast period. Some major players in the AI Studio market include Microsoft (US), IBM (US), Google (US), AWS (US), Vonage (US), Sprinklr (US), Blaize (US), DataRobot (US), Altair (US), C3 AI (US), HP (US), SparkCognition (US), Icertis (US), Intel (US), DeepBrain AI (US), AgileEngine (US), Expert.ai (Italy), Ushur (US), Avenue Code (US), Qubika (US), Anthropic (US), Evolve IP (US), Databricks (US), Brillio (US), Appy Pie (US), Conju (Canada), Bricabrac AI (US), Donakosy (UK), Bappfy AI (France), DeepOpinion (Austria), Orkes (US), and Branchbob AI (Germany).
The global market for the AI in chemicals market is projected to reach USD 3.8 billion by 2029 at a CAGR of 39.2% during the forecast period. The major AI in chemicals providers include IBM (US), Microsoft (US), Schneider Electric (France), AWS (US), Google (US), SAP (Germany), NVIDIA (US), C3.ai (US), GE Vernova (US), Siemens (Germany), Hexagon (Sweden), Engie Impact (US), TrendMiner (Belgium), Xylem (US), NobleAI (US), Iktos (France), Kebotix (US), Uptime AI (US), Canvass AI (Canada), Nexocode (Poland), SandboxAQ (US), Deepmatter (England), Zapata AI (US), Citirne Informatics (US), Chemical.AI (China), Augury (Israel), Intellegens (UK), Ripik.AI (India), Tractian (US), Polymerize (Singapore), ScienceDesk (Germany), OptiSol Business Solutions (India), NuWater (Africa) and VROC (Australia). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI in chemicals market.
The global image recognition market size is projected to reach USD 98.6 billion by 2029 at a compounded annual growth rate (CAGR) of 16.1% during the forecast period. Some of the significant image recognition vendors, Google (US), Qualcomm (US), AWS (US), Microsoft (US), Toshiba (Japan), NVIDIA (US), Oracle (US), NEC (Japan), Huawei (China), Hitachi (Japan), Trax (Singapore), Samsung (South Korea), STMicroelectronics (Switzerland), ON Semiconductor Corporation (US), Snap2Insight (Portland), Attrasoft (US), Sterison (India), Unicsoft (UK), ParallelDots (US), Vue.ai (US), Catchoom (Spain), Wikitude (Austria), Ximilar (Czech Republic), Imagga Technologies (Bulgaria), Blippar (UK), Clarifai (US), LTU Technologies (France), and DeepSignals (US).
The global market for the decision intelligence market is projected to reach USD 50.1 billion in 2030, at a CAGR of 24.7% during the forecast period. The major decision intelligence solution and service providers include IBM(US), Oracle (US), Google (US), Intel (US), Microsoft (US), TCS(INDIA), DOMO(US), Board International (Switzerland), Provenir (New Jersey), Pyramid Analytics (Netherlands), 4CAST(Israel), H20.ai(CA), Remi.AI (Australia), Quantellia (US), Peak.AI (UK), DIWO(US), Cerebra (US), Clarifai (US), FLYR LABS(US), Metaphacts (Germany), Systems Technology Group (US),paretos(Germany), Course5i(US), Telius (US), Evolution Analytics (US), HyperFinity (UK), Aera Technology (US), Quantexa (UK), Urbint(US), PlanningForce(Belgium), EY(UK). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the decision intelligence market.
The Large Language Model (LLM) market size is projected to reach USD 36.1 billion by 2030, reflecting a substantial CAGR of 33.2% over the forecast period. Some major players in the large language model market include Google (US), OpenAI (US), Anthropic (US), Meta (US), Microsoft (US), NVIDIA (US), AWS (US), IBM (US), Oracle (US), HPE (US), Tencent (China), Yandex (Russia), Naver (South Korea), AI21 Labs (Israel), Hugging Face (US), Baidu (China), SenseTime (Hong Kong), Huawei (China).
The translation management systems market size is projected to reach USD 5.7 billion by 2030, at a CAGR of 17.2% during the forecast period. Some major players in the translation management systems market include include TransPerfect (US), RWS Group (UK), LanguageLine Solutions (US), Acolad Group (France), and Welocalize (US) along with startups and SMEs such as Phrase (Germany), Lokalise (US), Crowdin (Estonia), Smartcat (US), and Unbabel (US) .
The global market for AI data management market is projected to reach USD 70.2 billion by 2028, at a CAGR of 22.8% during the forecast period. The major AI data management and service providers include Microsoft (US), AWS (US), IBM (US), Google (US), Oracle (US), Salesforce (US), SAP (Germany), SAS Institute (US), HPE (US), Snowflake (US), Teradata (US), Informatica (US), Databricks (US), TIBCO Software (US), Qlik (US), Collibra (US), Dataiku (US), Alteryx (US), Datamatics Business Solutions (US), Accenture (Ireland), Ataccama (Canada), Reltio (US), Tamr (US), ThoughtSpot (US), AtScale (US), Alation (US), Clarifai (US), DDN Storage (US), Dataloop AI (US) Astera Software (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the AI data management market.
The global market for Al in Cybersecurity is projected to reach USD 60.6 billion by 2028, at a CAGR of 21.9% during the forecast period. Major vendors in the global AI in Cybersecurity market NVIDIA (US), Intel (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US).
The global market for multimodal AI market is projected to reach USD 4.5 billion by 2028, at a CAGR of 35.0% during the forecast period. The major multimodal AI and service providers include Google (US), Microsoft (US), OpenAI (US), Meta (US), AWS (US), IBM (US), Twelve Labs (US), Aimesoft (US), Jina AI (Germany), Uniphore (US), Reka AI (US), Runway (US), Jiva.ai (UK), Vidrovr (US), Mobius Labs (US), Newsbridge (France), OpenStream.ai (US), Habana Labs (US), Modality.AI (US), Perceiv AI (Canada), Multimodal (US), Neuraptic AI (Spain), Inworld AI (US), Aiberry (US), One AI (US), Beewant (France), Owlbot.AI (US), Hoppr (US), Archetype AI (US), Stability AI (England). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the multimodal AI market.
The explainable AI market size is projected to reach USD 16.2 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.9% during the forecast period. Some major players in the explainable AI market include Microsoft (US), IBM (US), Google (US), Salesforce (US),Intel Corporation(US), NVIDIA(US), SAS Institute(US), Alteryx(US), AWS(US), Equifax(US), FICO(US), Temenos(Switzerland),Mphasis(India), C3.AI(US), H2O.ai(US), Fiddler(US), Zest AI(US), Seldon(London), Squirro(Switzerland), Kyndi(US), DataRobot(US),Databricks(US), Tredence(US), DarwinAI(Canada), Tensor AI solutions(Germany), . EXPAI(Spain), Abzu(Denmark), Arthur(US), and Intellico(Italy.
The AI Toolkit market is projected to reach USD 91.6 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 36.2% during the forecast period. The major vendors covered in the AI Toolkit market include Microsoft (US), Google (US), IBM (US), Oracle (US), Thales Group (France), Salesforce (US), Intel (US), Adobe (US), Meta Platforms (US), AWS (US), NVIDIA Corporation (US), H2O.ai (US), Alteryx (US), Altair (US), KNIME (Switzerland), DataRobot (US), Jasper (US), Rasa (US), SuperAnnotate (US), OpenAI (US), Obviously AI (US), Fiddler AI (US), Determined AI (US), Snorkel AI (US), Levity AI (Germany), Union AI (US), Attri AI (US), Regie.ai (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the AI Toolkit market.
The global market for AI code tools market is projected to reach USD 12.6 billion by 2028, at a CAGR of 24.0% during the forecast period. The report profiles key players such as Microsoft (US), IBM (US), Google (US), AWS (US), Salesforce (US), Meta (US) and OpenAI (US)